id	sid	tid	token	lemma	pos
ijassa-157	1	1	advances	advance	NOUN
ijassa-157	1	2	in	in	ADP
ijassa-157	1	3	systems	system	NOUN
ijassa-157	1	4	science	science	NOUN
ijassa-157	1	5	and	and	CCONJ
ijassa-157	1	6	applications	application	NOUN
ijassa-157	1	7	(	(	PUNCT
ijassa-157	1	8	2014	2014	NUM
ijassa-157	1	9	)	)	PUNCT
ijassa-157	1	10	vol.14	vol.14	NOUN
ijassa-157	1	11	no.2	no.2	NUM
ijassa-157	1	12	129	129	NUM
ijassa-157	1	13	-	-	SYM
ijassa-157	1	14	143	143	NUM
ijassa-157	1	15	adaptive	adaptive	ADJ
ijassa-157	1	16	cfar	cfar	ADJ
ijassa-157	1	17	tests	test	NOUN
ijassa-157	1	18	for	for	ADP
ijassa-157	1	19	detection	detection	NOUN
ijassa-157	1	20	and	and	CCONJ
ijassa-157	1	21	recognition	recognition	NOUN
ijassa-157	1	22	of	of	ADP
ijassa-157	1	23	target	target	NOUN
ijassa-157	1	24	signals	signal	NOUN
ijassa-157	1	25	in	in	ADP
ijassa-157	1	26	radar	radar	NOUN
ijassa-157	1	27	clutter	clutter	NOUN
ijassa-157	1	28	konstantin	konstantin	PROPN
ijassa-157	1	29	n.	n.	PROPN
ijassa-157	1	30	nechval1	nechval1	PROPN
ijassa-157	1	31	and	and	CCONJ
ijassa-157	1	32	nicholas	nicholas	PROPN
ijassa-157	1	33	a.	a.	PROPN
ijassa-157	1	34	nechval2	nechval2	PROPN
ijassa-157	2	1	1applied	1applied	NUM
ijassa-157	2	2	mathematics	mathematic	NOUN
ijassa-157	2	3	department	department	NOUN
ijassa-157	2	4	,	,	PUNCT
ijassa-157	2	5	transport	transport	NOUN
ijassa-157	2	6	and	and	CCONJ
ijassa-157	2	7	telecommunication	telecommunication	NOUN
ijassa-157	2	8	institute	institute	NOUN
ijassa-157	2	9	lomonosov	lomonosov	PROPN
ijassa-157	2	10	street	street	PROPN
ijassa-157	2	11	1	1	NUM
ijassa-157	2	12	,	,	PUNCT
ijassa-157	2	13	lv-1019	lv-1019	NOUN
ijassa-157	2	14	,	,	PUNCT
ijassa-157	2	15	riga	riga	PROPN
ijassa-157	2	16	,	,	PUNCT
ijassa-157	2	17	latvia	latvia	PROPN
ijassa-157	2	18	2statistics	2statistics	PROPN
ijassa-157	2	19	department	department	NOUN
ijassa-157	2	20	,	,	PUNCT
ijassa-157	2	21	evf	evf	PROPN
ijassa-157	2	22	research	research	PROPN
ijassa-157	2	23	institute	institute	PROPN
ijassa-157	2	24	,	,	PUNCT
ijassa-157	2	25	university	university	PROPN
ijassa-157	2	26	of	of	ADP
ijassa-157	2	27	latvia	latvia	PROPN
ijassa-157	2	28	raina	raina	PROPN
ijassa-157	2	29	blvd	blvd	PROPN
ijassa-157	2	30	19	19	NUM
ijassa-157	2	31	,	,	PUNCT
ijassa-157	2	32	lv-1050	lv-1050	PROPN
ijassa-157	2	33	,	,	PUNCT
ijassa-157	2	34	riga	riga	PROPN
ijassa-157	2	35	,	,	PUNCT
ijassa-157	2	36	latvia	latvia	PROPN
ijassa-157	2	37	abstract	abstract	NOUN
ijassa-157	2	38	in	in	ADP
ijassa-157	2	39	this	this	DET
ijassa-157	2	40	paper	paper	NOUN
ijassa-157	2	41	,	,	PUNCT
ijassa-157	2	42	adaptive	adaptive	ADJ
ijassa-157	2	43	cfar	cfar	NOUN
ijassa-157	2	44	tests	test	NOUN
ijassa-157	2	45	are	be	AUX
ijassa-157	2	46	described	describe	VERB
ijassa-157	2	47	which	which	PRON
ijassa-157	2	48	allow	allow	VERB
ijassa-157	2	49	one	one	PRON
ijassa-157	2	50	to	to	PART
ijassa-157	2	51	classify	classify	VERB
ijassa-157	2	52	radar	radar	NOUN
ijassa-157	2	53	clutter	clutter	NOUN
ijassa-157	2	54	into	into	ADP
ijassa-157	2	55	one	one	NUM
ijassa-157	2	56	of	of	ADP
ijassa-157	2	57	several	several	ADJ
ijassa-157	2	58	major	major	ADJ
ijassa-157	2	59	categories	category	NOUN
ijassa-157	2	60	,	,	PUNCT
ijassa-157	2	61	including	include	VERB
ijassa-157	2	62	bird	bird	NOUN
ijassa-157	2	63	,	,	PUNCT
ijassa-157	2	64	weather	weather	NOUN
ijassa-157	2	65	,	,	PUNCT
ijassa-157	2	66	and	and	CCONJ
ijassa-157	2	67	target	target	NOUN
ijassa-157	2	68	classes	class	NOUN
ijassa-157	2	69	.	.	PUNCT
ijassa-157	3	1	these	these	DET
ijassa-157	3	2	tests	test	NOUN
ijassa-157	3	3	do	do	AUX
ijassa-157	3	4	not	not	PART
ijassa-157	3	5	require	require	VERB
ijassa-157	3	6	the	the	DET
ijassa-157	3	7	arbitrary	arbitrary	ADJ
ijassa-157	3	8	selection	selection	NOUN
ijassa-157	3	9	of	of	ADP
ijassa-157	3	10	priors	prior	NOUN
ijassa-157	3	11	as	as	ADP
ijassa-157	3	12	in	in	ADP
ijassa-157	3	13	the	the	DET
ijassa-157	3	14	bayesian	bayesian	NOUN
ijassa-157	3	15	classifier	classifier	NOUN
ijassa-157	3	16	.	.	PUNCT
ijassa-157	4	1	the	the	DET
ijassa-157	4	2	decision	decision	NOUN
ijassa-157	4	3	rule	rule	NOUN
ijassa-157	4	4	of	of	ADP
ijassa-157	4	5	the	the	DET
ijassa-157	4	6	recognition	recognition	NOUN
ijassa-157	4	7	techniques	technique	NOUN
ijassa-157	4	8	is	be	AUX
ijassa-157	4	9	in	in	ADP
ijassa-157	4	10	the	the	DET
ijassa-157	4	11	form	form	NOUN
ijassa-157	4	12	of	of	ADP
ijassa-157	4	13	associating	associate	VERB
ijassa-157	4	14	the	the	DET
ijassa-157	4	15	p	p	ADJ
ijassa-157	4	16	-	-	PUNCT
ijassa-157	4	17	dimensional	dimensional	ADJ
ijassa-157	4	18	vector	vector	NOUN
ijassa-157	4	19	of	of	ADP
ijassa-157	4	20	observations	observation	NOUN
ijassa-157	4	21	on	on	ADP
ijassa-157	4	22	the	the	DET
ijassa-157	4	23	object	object	NOUN
ijassa-157	4	24	with	with	ADP
ijassa-157	4	25	one	one	NUM
ijassa-157	4	26	of	of	ADP
ijassa-157	4	27	the	the	DET
ijassa-157	4	28	m	m	NOUN
ijassa-157	4	29	specific	specific	ADJ
ijassa-157	4	30	classes	class	NOUN
ijassa-157	4	31	.	.	PUNCT
ijassa-157	5	1	when	when	SCONJ
ijassa-157	5	2	there	there	PRON
ijassa-157	5	3	is	be	VERB
ijassa-157	5	4	the	the	DET
ijassa-157	5	5	possibility	possibility	NOUN
ijassa-157	5	6	that	that	SCONJ
ijassa-157	5	7	the	the	DET
ijassa-157	5	8	object	object	NOUN
ijassa-157	5	9	does	do	AUX
ijassa-157	5	10	not	not	PART
ijassa-157	5	11	belong	belong	VERB
ijassa-157	5	12	to	to	ADP
ijassa-157	5	13	any	any	PRON
ijassa-157	5	14	of	of	ADP
ijassa-157	5	15	the	the	DET
ijassa-157	5	16	m	m	PROPN
ijassa-157	5	17	classes	class	NOUN
ijassa-157	5	18	,	,	PUNCT
ijassa-157	5	19	then	then	ADV
ijassa-157	5	20	this	this	DET
ijassa-157	5	21	object	object	NOUN
ijassa-157	5	22	is	be	AUX
ijassa-157	5	23	to	to	PART
ijassa-157	5	24	be	be	AUX
ijassa-157	5	25	classified	classify	VERB
ijassa-157	5	26	as	as	ADP
ijassa-157	5	27	belonging	belong	VERB
ijassa-157	5	28	to	to	ADP
ijassa-157	5	29	one	one	NUM
ijassa-157	5	30	of	of	ADP
ijassa-157	5	31	the	the	DET
ijassa-157	5	32	m	m	NOUN
ijassa-157	5	33	classes	class	NOUN
ijassa-157	5	34	or	or	CCONJ
ijassa-157	5	35	to	to	ADP
ijassa-157	5	36	class	class	NOUN
ijassa-157	5	37	m+	m+	NUM
ijassa-157	5	38	1	1	NUM
ijassa-157	5	39	whose	whose	DET
ijassa-157	5	40	distribution	distribution	NOUN
ijassa-157	5	41	is	be	AUX
ijassa-157	5	42	unspecified	unspecified	ADJ
ijassa-157	5	43	.	.	PUNCT
ijassa-157	6	1	the	the	DET
ijassa-157	6	2	tests	test	NOUN
ijassa-157	6	3	are	be	AUX
ijassa-157	6	4	invariant	invariant	ADJ
ijassa-157	6	5	to	to	ADP
ijassa-157	6	6	intensity	intensity	NOUN
ijassa-157	6	7	changes	change	NOUN
ijassa-157	6	8	in	in	ADP
ijassa-157	6	9	the	the	DET
ijassa-157	6	10	clutter	clutter	NOUN
ijassa-157	6	11	background	background	NOUN
ijassa-157	6	12	and	and	CCONJ
ijassa-157	6	13	achieve	achieve	VERB
ijassa-157	6	14	a	a	DET
ijassa-157	6	15	fixed	fix	VERB
ijassa-157	6	16	probability	probability	NOUN
ijassa-157	6	17	of	of	ADP
ijassa-157	6	18	a	a	DET
ijassa-157	6	19	false	false	ADJ
ijassa-157	6	20	alarm	alarm	NOUN
ijassa-157	6	21	.	.	PUNCT
ijassa-157	7	1	the	the	DET
ijassa-157	7	2	results	result	NOUN
ijassa-157	7	3	obtained	obtain	VERB
ijassa-157	7	4	in	in	ADP
ijassa-157	7	5	this	this	DET
ijassa-157	7	6	paper	paper	NOUN
ijassa-157	7	7	agree	agree	VERB
ijassa-157	7	8	with	with	ADP
ijassa-157	7	9	the	the	DET
ijassa-157	7	10	simulation	simulation	NOUN
ijassa-157	7	11	results	result	NOUN
ijassa-157	7	12	,	,	PUNCT
ijassa-157	7	13	which	which	PRON
ijassa-157	7	14	confirm	confirm	VERB
ijassa-157	7	15	the	the	DET
ijassa-157	7	16	validity	validity	NOUN
ijassa-157	7	17	of	of	ADP
ijassa-157	7	18	the	the	DET
ijassa-157	7	19	theoretical	theoretical	ADJ
ijassa-157	7	20	predictions	prediction	NOUN
ijassa-157	7	21	of	of	ADP
ijassa-157	7	22	performance	performance	NOUN
ijassa-157	7	23	of	of	ADP
ijassa-157	7	24	the	the	DET
ijassa-157	7	25	suggested	suggest	VERB
ijassa-157	7	26	adaptive	adaptive	ADJ
ijassa-157	7	27	cfar	cfar	ADJ
ijassa-157	7	28	tests	test	NOUN
ijassa-157	7	29	.	.	PUNCT
ijassa-157	8	1	keywords	keyword	VERB
ijassa-157	8	2	radar	radar	NOUN
ijassa-157	8	3	clutter	clutter	NOUN
ijassa-157	8	4	,	,	PUNCT
ijassa-157	8	5	target	target	NOUN
ijassa-157	8	6	signal	signal	NOUN
ijassa-157	8	7	,	,	PUNCT
ijassa-157	8	8	detection	detection	NOUN
ijassa-157	8	9	,	,	PUNCT
ijassa-157	8	10	recognition	recognition	NOUN
ijassa-157	8	11	,	,	PUNCT
ijassa-157	8	12	adaptive	adaptive	ADJ
ijassa-157	8	13	cfar	cfar	NOUN
ijassa-157	8	14	tests	test	VERB
ijassa-157	8	15	1	1	NUM
ijassa-157	8	16	introduction	introduction	NOUN
ijassa-157	8	17	modern	modern	ADJ
ijassa-157	8	18	air	air	NOUN
ijassa-157	8	19	traffic	traffic	PROPN
ijassa-157	8	20	control	control	PROPN
ijassa-157	8	21	radar	radar	NOUN
ijassa-157	8	22	systems	system	NOUN
ijassa-157	8	23	rely	rely	VERB
ijassa-157	8	24	heavily	heavily	ADV
ijassa-157	8	25	on	on	ADP
ijassa-157	8	26	automatic	automatic	ADJ
ijassa-157	8	27	target	target	NOUN
ijassa-157	8	28	detection	detection	NOUN
ijassa-157	8	29	and	and	CCONJ
ijassa-157	8	30	tracking	tracking	NOUN
ijassa-157	8	31	to	to	PART
ijassa-157	8	32	maximize	maximize	VERB
ijassa-157	8	33	air	air	NOUN
ijassa-157	8	34	traffic	traffic	NOUN
ijassa-157	8	35	safety	safety	NOUN
ijassa-157	8	36	.	.	PUNCT
ijassa-157	9	1	moving	move	VERB
ijassa-157	9	2	target	target	NOUN
ijassa-157	9	3	indicator	indicator	NOUN
ijassa-157	9	4	and	and	CCONJ
ijassa-157	9	5	moving	move	VERB
ijassa-157	9	6	target	target	NOUN
ijassa-157	9	7	detector	detector	NOUN
ijassa-157	9	8	algorithms	algorithm	NOUN
ijassa-157	9	9	achieve	achieve	VERB
ijassa-157	9	10	good	good	ADJ
ijassa-157	9	11	target	target	NOUN
ijassa-157	9	12	detection	detection	NOUN
ijassa-157	9	13	performance	performance	NOUN
ijassa-157	9	14	through	through	ADP
ijassa-157	9	15	the	the	DET
ijassa-157	9	16	suppression	suppression	NOUN
ijassa-157	9	17	of	of	ADP
ijassa-157	9	18	most	most	ADJ
ijassa-157	9	19	or	or	CCONJ
ijassa-157	9	20	all	all	PRON
ijassa-157	9	21	forms	form	NOUN
ijassa-157	9	22	of	of	ADP
ijassa-157	9	23	radar	radar	NOUN
ijassa-157	9	24	clutter	clutter	NOUN
ijassa-157	9	25	.	.	PUNCT
ijassa-157	10	1	unfortunately	unfortunately	ADV
ijassa-157	10	2	,	,	PUNCT
ijassa-157	10	3	real	real	ADJ
ijassa-157	10	4	-	-	PUNCT
ijassa-157	10	5	time	time	NOUN
ijassa-157	10	6	information	information	NOUN
ijassa-157	10	7	on	on	ADP
ijassa-157	10	8	airborne	airborne	ADJ
ijassa-157	10	9	hazards	hazard	NOUN
ijassa-157	10	10	to	to	ADP
ijassa-157	10	11	aircraft	aircraft	NOUN
ijassa-157	10	12	,	,	PUNCT
ijassa-157	10	13	such	such	ADJ
ijassa-157	10	14	as	as	ADP
ijassa-157	10	15	birds	bird	NOUN
ijassa-157	10	16	and	and	CCONJ
ijassa-157	10	17	storm	storm	NOUN
ijassa-157	10	18	systems	system	NOUN
ijassa-157	10	19	,	,	PUNCT
ijassa-157	10	20	is	be	AUX
ijassa-157	10	21	also	also	ADV
ijassa-157	10	22	suppressed	suppress	VERB
ijassa-157	10	23	.	.	PUNCT
ijassa-157	11	1	the	the	DET
ijassa-157	11	2	ability	ability	NOUN
ijassa-157	11	3	to	to	PART
ijassa-157	11	4	classify	classify	VERB
ijassa-157	11	5	clutter	clutter	NOUN
ijassa-157	11	6	and	and	CCONJ
ijassa-157	11	7	hence	hence	ADV
ijassa-157	11	8	identify	identify	VERB
ijassa-157	11	9	these	these	DET
ijassa-157	11	10	hazards	hazard	NOUN
ijassa-157	11	11	can	can	AUX
ijassa-157	11	12	thus	thus	ADV
ijassa-157	11	13	contribute	contribute	VERB
ijassa-157	11	14	significantly	significantly	ADV
ijassa-157	11	15	to	to	ADP
ijassa-157	11	16	air	air	NOUN
ijassa-157	11	17	traffic	traffic	NOUN
ijassa-157	11	18	safety	safety	NOUN
ijassa-157	11	19	.	.	PUNCT
ijassa-157	12	1	the	the	DET
ijassa-157	12	2	process	process	NOUN
ijassa-157	12	3	of	of	ADP
ijassa-157	12	4	classification	classification	NOUN
ijassa-157	12	5	can	can	AUX
ijassa-157	12	6	be	be	AUX
ijassa-157	12	7	formalized	formalize	VERB
ijassa-157	12	8	as	as	SCONJ
ijassa-157	12	9	follows	follow	VERB
ijassa-157	12	10	.	.	PUNCT
ijassa-157	13	1	the	the	DET
ijassa-157	13	2	unprocessed	unprocessed	ADJ
ijassa-157	13	3	radar	radar	NOUN
ijassa-157	13	4	data	datum	NOUN
ijassa-157	13	5	are	be	AUX
ijassa-157	13	6	passed	pass	VERB
ijassa-157	13	7	through	through	ADP
ijassa-157	13	8	a	a	DET
ijassa-157	13	9	feature	feature	NOUN
ijassa-157	13	10	extractor	extractor	NOUN
ijassa-157	13	11	,	,	PUNCT
ijassa-157	13	12	which	which	PRON
ijassa-157	13	13	transforms	transform	VERB
ijassa-157	13	14	the	the	DET
ijassa-157	13	15	available	available	ADJ
ijassa-157	13	16	data	data	NOUN
ijassa-157	13	17	samples	sample	NOUN
ijassa-157	13	18	into	into	ADP
ijassa-157	13	19	a	a	DET
ijassa-157	13	20	set	set	NOUN
ijassa-157	13	21	of	of	ADP
ijassa-157	13	22	separable	separable	ADJ
ijassa-157	13	23	features	feature	NOUN
ijassa-157	13	24	.	.	PUNCT
ijassa-157	14	1	these	these	DET
ijassa-157	14	2	features	feature	NOUN
ijassa-157	14	3	are	be	AUX
ijassa-157	14	4	derived	derive	VERB
ijassa-157	14	5	from	from	ADP
ijassa-157	14	6	the	the	DET
ijassa-157	14	7	reflection	reflection	NOUN
ijassa-157	14	8	coefficients	coefficient	NOUN
ijassa-157	14	9	computed	compute	VERB
ijassa-157	14	10	using	use	VERB
ijassa-157	14	11	the	the	DET
ijassa-157	14	12	multisegment	multisegment	ADJ
ijassa-157	14	13	version	version	NOUN
ijassa-157	14	14	of	of	ADP
ijassa-157	14	15	burgs	burg	NOUN
ijassa-157	14	16	formula[1	formula[1	NOUN
ijassa-157	14	17	]	]	PUNCT
ijassa-157	14	18	.	.	PUNCT
ijassa-157	15	1	the	the	DET
ijassa-157	15	2	aforementioned	aforementioned	ADJ
ijassa-157	15	3	coefficients	coefficient	NOUN
ijassa-157	15	4	(	(	PUNCT
ijassa-157	15	5	that	that	PRON
ijassa-157	15	6	contain	contain	VERB
ijassa-157	15	7	all	all	DET
ijassa-157	15	8	spectral	spectral	ADJ
ijassa-157	15	9	information	information	NOUN
ijassa-157	15	10	,	,	PUNCT
ijassa-157	15	11	including	include	VERB
ijassa-157	15	12	the	the	DET
ijassa-157	15	13	mean	mean	ADJ
ijassa-157	15	14	doppler	doppler	NOUN
ijassa-157	15	15	shift	shift	NOUN
ijassa-157	15	16	)	)	PUNCT
ijassa-157	15	17	are	be	AUX
ijassa-157	15	18	then	then	ADV
ijassa-157	15	19	transformed	transform	VERB
ijassa-157	15	20	and	and	CCONJ
ijassa-157	15	21	grouped	group	VERB
ijassa-157	15	22	to	to	PART
ijassa-157	15	23	satisfy	satisfy	VERB
ijassa-157	15	24	the	the	DET
ijassa-157	15	25	requirements	requirement	NOUN
ijassa-157	15	26	for	for	ADP
ijassa-157	15	27	multivariate	multivariate	NOUN
ijassa-157	15	28	gaussian	gaussian	ADJ
ijassa-157	15	29	behaviour	behaviour	NOUN
ijassa-157	15	30	.	.	PUNCT
ijassa-157	16	1	only	only	ADV
ijassa-157	16	2	information	information	NOUN
ijassa-157	16	3	that	that	PRON
ijassa-157	16	4	is	be	AUX
ijassa-157	16	5	different	different	ADJ
ijassa-157	16	6	from	from	ADP
ijassa-157	16	7	class	class	NOUN
ijassa-157	16	8	to	to	ADP
ijassa-157	16	9	class	class	NOUN
ijassa-157	16	10	is	be	AUX
ijassa-157	16	11	maintained	maintain	VERB
ijassa-157	16	12	,	,	PUNCT
ijassa-157	16	13	and	and	CCONJ
ijassa-157	16	14	in	in	ADP
ijassa-157	16	15	such	such	DET
ijassa-157	16	16	a	a	DET
ijassa-157	16	17	form	form	NOUN
ijassa-157	17	1	that	that	PRON
ijassa-157	17	2	a	a	DET
ijassa-157	17	3	reliable	reliable	ADJ
ijassa-157	17	4	decision	decision	NOUN
ijassa-157	17	5	,	,	PUNCT
ijassa-157	17	6	based	base	VERB
ijassa-157	17	7	on	on	ADP
ijassa-157	17	8	a	a	DET
ijassa-157	17	9	discriminant	discriminant	NOUN
ijassa-157	17	10	function	function	NOUN
ijassa-157	17	11	derived	derive	VERB
ijassa-157	17	12	from	from	ADP
ijassa-157	17	13	the	the	DET
ijassa-157	17	14	above	above	ADJ
ijassa-157	17	15	features	feature	NOUN
ijassa-157	17	16	,	,	PUNCT
ijassa-157	17	17	may	may	AUX
ijassa-157	17	18	130	130	NUM
ijassa-157	17	19	konstantin	konstantin	PROPN
ijassa-157	17	20	n.	n.	PROPN
ijassa-157	17	21	nechval	nechval	PROPN
ijassa-157	17	22	:	:	PUNCT
ijassa-157	17	23	adaptive	adaptive	ADJ
ijassa-157	17	24	cfar	cfar	NOUN
ijassa-157	17	25	tests	test	NOUN
ijassa-157	17	26	for	for	ADP
ijassa-157	17	27	detection	detection	NOUN
ijassa-157	17	28	and	and	CCONJ
ijassa-157	17	29	recognition	recognition	NOUN
ijassa-157	17	30	of	of	ADP
ijassa-157	17	31	target	target	NOUN
ijassa-157	17	32	...	...	PUNCT
ijassa-157	17	33	be	be	AUX
ijassa-157	17	34	made	make	VERB
ijassa-157	17	35	.	.	PUNCT
ijassa-157	18	1	the	the	DET
ijassa-157	18	2	classification	classification	NOUN
ijassa-157	18	3	problem	problem	NOUN
ijassa-157	18	4	consists	consist	VERB
ijassa-157	18	5	in	in	ADP
ijassa-157	18	6	the	the	DET
ijassa-157	18	7	following	following	NOUN
ijassa-157	18	8	.	.	PUNCT
ijassa-157	19	1	there	there	PRON
ijassa-157	19	2	are	be	VERB
ijassa-157	19	3	m	m	PROPN
ijassa-157	19	4	classes	class	NOUN
ijassa-157	19	5	(	(	PUNCT
ijassa-157	19	6	populations	population	NOUN
ijassa-157	19	7	)	)	PUNCT
ijassa-157	19	8	,	,	PUNCT
ijassa-157	19	9	the	the	DET
ijassa-157	19	10	elements	element	NOUN
ijassa-157	19	11	(	(	PUNCT
ijassa-157	19	12	objects	object	NOUN
ijassa-157	19	13	)	)	PUNCT
ijassa-157	19	14	of	of	ADP
ijassa-157	19	15	which	which	PRON
ijassa-157	19	16	are	be	AUX
ijassa-157	19	17	characterized	characterize	VERB
ijassa-157	19	18	by	by	ADP
ijassa-157	19	19	p	p	NOUN
ijassa-157	19	20	measurements	measurement	NOUN
ijassa-157	19	21	(	(	PUNCT
ijassa-157	19	22	features	feature	NOUN
ijassa-157	19	23	)	)	PUNCT
ijassa-157	19	24	.	.	PUNCT
ijassa-157	20	1	next	next	ADV
ijassa-157	20	2	,	,	PUNCT
ijassa-157	20	3	suppose	suppose	VERB
ijassa-157	20	4	that	that	SCONJ
ijassa-157	20	5	we	we	PRON
ijassa-157	20	6	are	be	AUX
ijassa-157	20	7	investigating	investigate	VERB
ijassa-157	20	8	a	a	DET
ijassa-157	20	9	certain	certain	ADJ
ijassa-157	20	10	object	object	NOUN
ijassa-157	20	11	on	on	ADP
ijassa-157	20	12	the	the	DET
ijassa-157	20	13	basis	basis	NOUN
ijassa-157	20	14	of	of	ADP
ijassa-157	20	15	the	the	DET
ijassa-157	20	16	corresponding	corresponding	ADJ
ijassa-157	20	17	p	p	NOUN
ijassa-157	20	18	measurements	measurement	NOUN
ijassa-157	20	19	.	.	PUNCT
ijassa-157	21	1	we	we	PRON
ijassa-157	21	2	postulate	postulate	VERB
ijassa-157	21	3	that	that	SCONJ
ijassa-157	21	4	this	this	DET
ijassa-157	21	5	object	object	NOUN
ijassa-157	21	6	can	can	AUX
ijassa-157	21	7	be	be	AUX
ijassa-157	21	8	regarded	regard	VERB
ijassa-157	21	9	as	as	ADP
ijassa-157	21	10	a	a	DET
ijassa-157	21	11	random	random	ADJ
ijassa-157	21	12	drawing	drawing	NOUN
ijassa-157	21	13	from	from	ADP
ijassa-157	21	14	one	one	NUM
ijassa-157	21	15	of	of	ADP
ijassa-157	21	16	the	the	DET
ijassa-157	21	17	m	m	NOUN
ijassa-157	21	18	populations	population	NOUN
ijassa-157	21	19	but	but	CCONJ
ijassa-157	21	20	we	we	PRON
ijassa-157	21	21	do	do	AUX
ijassa-157	21	22	not	not	PART
ijassa-157	21	23	know	know	VERB
ijassa-157	21	24	from	from	ADP
ijassa-157	21	25	which	which	PRON
ijassa-157	21	26	one	one	NUM
ijassa-157	21	27	.	.	PUNCT
ijassa-157	22	1	we	we	PRON
ijassa-157	22	2	suppose	suppose	VERB
ijassa-157	22	3	that	that	SCONJ
ijassa-157	22	4	m	m	PROPN
ijassa-157	22	5	samples	sample	NOUN
ijassa-157	22	6	are	be	AUX
ijassa-157	22	7	available	available	ADJ
ijassa-157	22	8	,	,	PUNCT
ijassa-157	22	9	each	each	DET
ijassa-157	22	10	sample	sample	NOUN
ijassa-157	22	11	being	be	AUX
ijassa-157	22	12	drawn	draw	VERB
ijassa-157	22	13	from	from	ADP
ijassa-157	22	14	a	a	DET
ijassa-157	22	15	different	different	ADJ
ijassa-157	22	16	class	class	NOUN
ijassa-157	22	17	.	.	PUNCT
ijassa-157	23	1	the	the	DET
ijassa-157	23	2	elements	element	NOUN
ijassa-157	23	3	of	of	ADP
ijassa-157	23	4	these	these	DET
ijassa-157	23	5	samples	sample	NOUN
ijassa-157	23	6	are	be	AUX
ijassa-157	23	7	realizations	realization	NOUN
ijassa-157	23	8	of	of	ADP
ijassa-157	23	9	p	p	NOUN
ijassa-157	23	10	-	-	PUNCT
ijassa-157	23	11	dimensional	dimensional	ADJ
ijassa-157	23	12	normal	normal	ADJ
ijassa-157	23	13	random	random	ADJ
ijassa-157	23	14	variables	variable	NOUN
ijassa-157	23	15	with	with	ADP
ijassa-157	23	16	unknown	unknown	ADJ
ijassa-157	23	17	parameters	parameter	NOUN
ijassa-157	23	18	.	.	PUNCT
ijassa-157	24	1	after	after	SCONJ
ijassa-157	24	2	a	a	DET
ijassa-157	24	3	sample	sample	NOUN
ijassa-157	24	4	of	of	ADP
ijassa-157	24	5	p	p	ADJ
ijassa-157	24	6	-	-	PUNCT
ijassa-157	24	7	dimensional	dimensional	ADJ
ijassa-157	24	8	vectors	vector	NOUN
ijassa-157	24	9	of	of	ADP
ijassa-157	24	10	observations	observation	NOUN
ijassa-157	24	11	on	on	ADP
ijassa-157	24	12	the	the	DET
ijassa-157	24	13	object	object	NOUN
ijassa-157	24	14	is	be	AUX
ijassa-157	24	15	drawn	draw	VERB
ijassa-157	24	16	from	from	ADP
ijassa-157	24	17	a	a	DET
ijassa-157	24	18	class	class	NOUN
ijassa-157	24	19	known	know	VERB
ijassa-157	24	20	a	a	DET
ijassa-157	24	21	priori	priori	NOUN
ijassa-157	24	22	to	to	PART
ijassa-157	24	23	be	be	AUX
ijassa-157	24	24	one	one	NUM
ijassa-157	24	25	of	of	ADP
ijassa-157	24	26	the	the	DET
ijassa-157	24	27	above	above	ADJ
ijassa-157	24	28	set	set	NOUN
ijassa-157	24	29	of	of	ADP
ijassa-157	24	30	m	m	PROPN
ijassa-157	24	31	classes	class	NOUN
ijassa-157	24	32	,	,	PUNCT
ijassa-157	24	33	the	the	DET
ijassa-157	24	34	problem	problem	NOUN
ijassa-157	24	35	is	be	AUX
ijassa-157	24	36	to	to	PART
ijassa-157	24	37	infer	infer	VERB
ijassa-157	24	38	from	from	ADP
ijassa-157	24	39	which	which	DET
ijassa-157	24	40	class	class	NOUN
ijassa-157	24	41	the	the	DET
ijassa-157	24	42	sample	sample	NOUN
ijassa-157	24	43	has	have	AUX
ijassa-157	24	44	been	be	AUX
ijassa-157	24	45	drawn	draw	VERB
ijassa-157	24	46	.	.	PUNCT
ijassa-157	25	1	the	the	DET
ijassa-157	25	2	decision	decision	NOUN
ijassa-157	25	3	rule	rule	NOUN
ijassa-157	25	4	should	should	AUX
ijassa-157	25	5	be	be	AUX
ijassa-157	25	6	in	in	ADP
ijassa-157	25	7	the	the	DET
ijassa-157	25	8	form	form	NOUN
ijassa-157	25	9	of	of	ADP
ijassa-157	25	10	associating	associate	VERB
ijassa-157	25	11	the	the	DET
ijassa-157	25	12	sample	sample	NOUN
ijassa-157	25	13	of	of	ADP
ijassa-157	25	14	observations	observation	NOUN
ijassa-157	25	15	on	on	ADP
ijassa-157	25	16	the	the	DET
ijassa-157	25	17	object	object	NOUN
ijassa-157	25	18	with	with	ADP
ijassa-157	25	19	one	one	NUM
ijassa-157	25	20	of	of	ADP
ijassa-157	25	21	the	the	DET
ijassa-157	25	22	m	m	NOUN
ijassa-157	25	23	samples	sample	NOUN
ijassa-157	25	24	and	and	CCONJ
ijassa-157	25	25	declaring	declare	VERB
ijassa-157	25	26	that	that	SCONJ
ijassa-157	25	27	the	the	DET
ijassa-157	25	28	object	object	NOUN
ijassa-157	25	29	has	have	AUX
ijassa-157	25	30	come	come	VERB
ijassa-157	25	31	from	from	ADP
ijassa-157	25	32	the	the	DET
ijassa-157	25	33	same	same	ADJ
ijassa-157	25	34	class	class	NOUN
ijassa-157	25	35	as	as	ADP
ijassa-157	25	36	the	the	DET
ijassa-157	25	37	sample	sample	NOUN
ijassa-157	25	38	with	with	ADP
ijassa-157	25	39	which	which	PRON
ijassa-157	25	40	it	it	PRON
ijassa-157	25	41	is	be	AUX
ijassa-157	25	42	associated	associate	VERB
ijassa-157	25	43	.	.	PUNCT
ijassa-157	26	1	when	when	SCONJ
ijassa-157	26	2	there	there	PRON
ijassa-157	26	3	is	be	VERB
ijassa-157	26	4	the	the	DET
ijassa-157	26	5	possibility	possibility	NOUN
ijassa-157	26	6	that	that	SCONJ
ijassa-157	26	7	the	the	DET
ijassa-157	26	8	object	object	NOUN
ijassa-157	26	9	does	do	AUX
ijassa-157	26	10	not	not	PART
ijassa-157	26	11	belong	belong	VERB
ijassa-157	26	12	to	to	ADP
ijassa-157	26	13	any	any	PRON
ijassa-157	26	14	of	of	ADP
ijassa-157	26	15	the	the	DET
ijassa-157	26	16	m	m	PROPN
ijassa-157	26	17	classes	class	NOUN
ijassa-157	26	18	,	,	PUNCT
ijassa-157	26	19	then	then	ADV
ijassa-157	26	20	this	this	DET
ijassa-157	26	21	object	object	NOUN
ijassa-157	26	22	is	be	AUX
ijassa-157	26	23	to	to	PART
ijassa-157	26	24	be	be	AUX
ijassa-157	26	25	classified	classify	VERB
ijassa-157	26	26	as	as	ADP
ijassa-157	26	27	belonging	belong	VERB
ijassa-157	26	28	to	to	ADP
ijassa-157	26	29	one	one	NUM
ijassa-157	26	30	of	of	ADP
ijassa-157	26	31	the	the	DET
ijassa-157	26	32	m	m	NOUN
ijassa-157	26	33	classes	class	NOUN
ijassa-157	26	34	or	or	CCONJ
ijassa-157	26	35	to	to	ADP
ijassa-157	26	36	class	class	NOUN
ijassa-157	26	37	m+	m+	NUM
ijassa-157	26	38	1	1	NUM
ijassa-157	26	39	whose	whose	DET
ijassa-157	26	40	distribution	distribution	NOUN
ijassa-157	26	41	is	be	AUX
ijassa-157	26	42	unspecified	unspecified	ADJ
ijassa-157	26	43	.	.	PUNCT
ijassa-157	27	1	stehwien	stehwien	NOUN
ijassa-157	27	2	and	and	CCONJ
ijassa-157	27	3	haykin	haykin	X
ijassa-157	28	1	[	[	X
ijassa-157	28	2	2	2	X
ijassa-157	28	3	]	]	PUNCT
ijassa-157	28	4	solved	solve	VERB
ijassa-157	28	5	the	the	DET
ijassa-157	28	6	problem	problem	NOUN
ijassa-157	28	7	of	of	ADP
ijassa-157	28	8	statistical	statistical	ADJ
ijassa-157	28	9	classification	classification	NOUN
ijassa-157	28	10	of	of	ADP
ijassa-157	28	11	radar	radar	NOUN
ijassa-157	28	12	clutter	clutter	NOUN
ijassa-157	28	13	in	in	ADP
ijassa-157	28	14	a	a	DET
ijassa-157	28	15	bayesian	bayesian	NOUN
ijassa-157	28	16	framework	framework	NOUN
ijassa-157	28	17	.	.	PUNCT
ijassa-157	29	1	in	in	ADP
ijassa-157	29	2	this	this	DET
ijassa-157	29	3	paper	paper	NOUN
ijassa-157	29	4	,	,	PUNCT
ijassa-157	29	5	the	the	DET
ijassa-157	29	6	problem	problem	NOUN
ijassa-157	29	7	is	be	AUX
ijassa-157	29	8	treated	treat	VERB
ijassa-157	29	9	in	in	ADP
ijassa-157	29	10	a	a	DET
ijassa-157	29	11	nonbayesian	nonbayesian	ADJ
ijassa-157	29	12	setting	setting	NOUN
ijassa-157	29	13	.	.	PUNCT
ijassa-157	30	1	a	a	DET
ijassa-157	30	2	classification	classification	NOUN
ijassa-157	30	3	technique	technique	NOUN
ijassa-157	30	4	is	be	AUX
ijassa-157	30	5	described	describe	VERB
ijassa-157	30	6	which	which	PRON
ijassa-157	30	7	allows	allow	VERB
ijassa-157	30	8	one	one	NUM
ijassa-157	30	9	to	to	PART
ijassa-157	30	10	classify	classify	VERB
ijassa-157	30	11	radar	radar	NOUN
ijassa-157	30	12	clutter	clutter	NOUN
ijassa-157	30	13	into	into	ADP
ijassa-157	30	14	one	one	NUM
ijassa-157	30	15	of	of	ADP
ijassa-157	30	16	several	several	ADJ
ijassa-157	30	17	major	major	ADJ
ijassa-157	30	18	categories	category	NOUN
ijassa-157	30	19	,	,	PUNCT
ijassa-157	30	20	including	include	VERB
ijassa-157	30	21	bird	bird	NOUN
ijassa-157	30	22	,	,	PUNCT
ijassa-157	30	23	weather	weather	NOUN
ijassa-157	30	24	,	,	PUNCT
ijassa-157	30	25	and	and	CCONJ
ijassa-157	30	26	target	target	NOUN
ijassa-157	30	27	classes	class	NOUN
ijassa-157	30	28	.	.	PUNCT
ijassa-157	31	1	this	this	DET
ijassa-157	31	2	technique	technique	NOUN
ijassa-157	31	3	is	be	AUX
ijassa-157	31	4	based	base	VERB
ijassa-157	31	5	on	on	ADP
ijassa-157	31	6	applying	apply	VERB
ijassa-157	31	7	the	the	DET
ijassa-157	31	8	theory	theory	NOUN
ijassa-157	31	9	of	of	ADP
ijassa-157	31	10	generalized	generalized	ADJ
ijassa-157	31	11	maximum	maximum	ADJ
ijassa-157	31	12	likelihood	likelihood	NOUN
ijassa-157	31	13	ratio	ratio	NOUN
ijassa-157	31	14	testing	testing	NOUN
ijassa-157	31	15	for	for	ADP
ijassa-157	31	16	composite	composite	ADJ
ijassa-157	31	17	hypotheses	hypothesis	NOUN
ijassa-157	31	18	.	.	PUNCT
ijassa-157	32	1	the	the	DET
ijassa-157	32	2	unknown	unknown	ADJ
ijassa-157	32	3	parameters	parameter	NOUN
ijassa-157	32	4	are	be	AUX
ijassa-157	32	5	then	then	ADV
ijassa-157	32	6	estimated	estimate	VERB
ijassa-157	32	7	using	use	VERB
ijassa-157	32	8	maximum	maximum	ADJ
ijassa-157	32	9	likelihood	likelihood	NOUN
ijassa-157	32	10	estimators	estimator	NOUN
ijassa-157	32	11	.	.	PUNCT
ijassa-157	33	1	this	this	DET
ijassa-157	33	2	approach	approach	NOUN
ijassa-157	33	3	does	do	AUX
ijassa-157	33	4	not	not	PART
ijassa-157	33	5	require	require	VERB
ijassa-157	33	6	the	the	DET
ijassa-157	33	7	arbitrary	arbitrary	ADJ
ijassa-157	33	8	selection	selection	NOUN
ijassa-157	33	9	of	of	ADP
ijassa-157	33	10	priors	prior	NOUN
ijassa-157	33	11	as	as	ADP
ijassa-157	33	12	in	in	ADP
ijassa-157	33	13	the	the	DET
ijassa-157	33	14	bayesian	bayesian	NOUN
ijassa-157	33	15	classifier	classifier	NOUN
ijassa-157	33	16	.	.	PUNCT
ijassa-157	34	1	yet	yet	CCONJ
ijassa-157	34	2	the	the	DET
ijassa-157	34	3	generalized	generalized	ADJ
ijassa-157	34	4	likelihood	likelihood	NOUN
ijassa-157	34	5	ratio	ratio	NOUN
ijassa-157	34	6	test	test	NOUN
ijassa-157	34	7	(	(	PUNCT
ijassa-157	34	8	glrt	glrt	NOUN
ijassa-157	34	9	)	)	PUNCT
ijassa-157	34	10	is	be	AUX
ijassa-157	34	11	widely	widely	ADV
ijassa-157	34	12	preferred	preferred	ADJ
ijassa-157	34	13	because	because	SCONJ
ijassa-157	34	14	of	of	ADP
ijassa-157	34	15	its	its	PRON
ijassa-157	34	16	nice	nice	ADJ
ijassa-157	34	17	asymptotic	asymptotic	ADJ
ijassa-157	34	18	(	(	PUNCT
ijassa-157	34	19	large	large	ADJ
ijassa-157	34	20	sample	sample	NOUN
ijassa-157	34	21	size	size	NOUN
ijassa-157	34	22	)	)	PUNCT
ijassa-157	34	23	properties	property	NOUN
ijassa-157	34	24	such	such	ADJ
ijassa-157	34	25	as	as	ADP
ijassa-157	34	26	consistency	consistency	NOUN
ijassa-157	34	27	,	,	PUNCT
ijassa-157	34	28	unbiasedness	unbiasedness	NOUN
ijassa-157	34	29	,	,	PUNCT
ijassa-157	34	30	and	and	CCONJ
ijassa-157	34	31	constant	constant	ADJ
ijassa-157	34	32	false	false	ADJ
ijassa-157	34	33	alarm	alarm	NOUN
ijassa-157	34	34	rate	rate	NOUN
ijassa-157	34	35	(	(	PUNCT
ijassa-157	34	36	cfar	cfar	ADV
ijassa-157	34	37	)	)	PUNCT
ijassa-157	34	38	.	.	PUNCT
ijassa-157	35	1	it	it	PRON
ijassa-157	35	2	is	be	AUX
ijassa-157	35	3	also	also	ADV
ijassa-157	35	4	called	call	VERB
ijassa-157	35	5	the	the	DET
ijassa-157	35	6	uniformly	uniformly	ADV
ijassa-157	35	7	most	most	ADV
ijassa-157	35	8	powerful	powerful	ADJ
ijassa-157	35	9	invariant	invariant	ADJ
ijassa-157	35	10	(	(	PUNCT
ijassa-157	35	11	umpi	umpi	ADJ
ijassa-157	35	12	)	)	PUNCT
ijassa-157	35	13	test	test	NOUN
ijassa-157	35	14	since	since	SCONJ
ijassa-157	35	15	it	it	PRON
ijassa-157	35	16	exhibits	exhibit	VERB
ijassa-157	35	17	the	the	DET
ijassa-157	35	18	ump	ump	NOUN
ijassa-157	35	19	property	property	NOUN
ijassa-157	35	20	among	among	ADP
ijassa-157	35	21	the	the	DET
ijassa-157	35	22	class	class	NOUN
ijassa-157	35	23	of	of	ADP
ijassa-157	35	24	tests	test	NOUN
ijassa-157	35	25	that	that	PRON
ijassa-157	35	26	are	be	AUX
ijassa-157	35	27	invariant	invariant	ADJ
ijassa-157	35	28	to	to	ADP
ijassa-157	35	29	a	a	DET
ijassa-157	35	30	natural	natural	ADJ
ijassa-157	35	31	set	set	NOUN
ijassa-157	35	32	of	of	ADP
ijassa-157	35	33	transformations	transformation	NOUN
ijassa-157	35	34	.	.	PUNCT
ijassa-157	36	1	the	the	DET
ijassa-157	36	2	asymptotic	asymptotic	ADJ
ijassa-157	36	3	performance	performance	NOUN
ijassa-157	36	4	of	of	ADP
ijassa-157	36	5	the	the	DET
ijassa-157	36	6	glrt	glrt	NOUN
ijassa-157	36	7	becomes	become	VERB
ijassa-157	36	8	equivalent	equivalent	ADJ
ijassa-157	36	9	to	to	ADP
ijassa-157	36	10	the	the	DET
ijassa-157	36	11	test	test	NOUN
ijassa-157	36	12	with	with	ADP
ijassa-157	36	13	perfectly	perfectly	ADV
ijassa-157	36	14	known	know	VERB
ijassa-157	36	15	parameters	parameter	NOUN
ijassa-157	36	16	.	.	PUNCT
ijassa-157	37	1	the	the	DET
ijassa-157	37	2	main	main	ADJ
ijassa-157	37	3	feature	feature	NOUN
ijassa-157	37	4	of	of	ADP
ijassa-157	37	5	the	the	DET
ijassa-157	37	6	proposed	propose	VERB
ijassa-157	37	7	classification	classification	NOUN
ijassa-157	37	8	technique	technique	NOUN
ijassa-157	37	9	is	be	AUX
ijassa-157	37	10	the	the	DET
ijassa-157	37	11	class	class	NOUN
ijassa-157	37	12	elimination	elimination	NOUN
ijassa-157	37	13	rule	rule	NOUN
ijassa-157	37	14	.	.	PUNCT
ijassa-157	38	1	when	when	SCONJ
ijassa-157	38	2	certain	certain	ADJ
ijassa-157	38	3	conditions	condition	NOUN
ijassa-157	38	4	are	be	AUX
ijassa-157	38	5	met	meet	VERB
ijassa-157	38	6	,	,	PUNCT
ijassa-157	38	7	the	the	DET
ijassa-157	38	8	decision	decision	NOUN
ijassa-157	38	9	is	be	AUX
ijassa-157	38	10	taken	take	VERB
ijassa-157	38	11	to	to	PART
ijassa-157	38	12	eliminate	eliminate	VERB
ijassa-157	38	13	specific	specific	ADJ
ijassa-157	38	14	class	class	NOUN
ijassa-157	38	15	from	from	ADP
ijassa-157	38	16	further	further	ADJ
ijassa-157	38	17	considerations	consideration	NOUN
ijassa-157	38	18	,	,	PUNCT
ijassa-157	38	19	and	and	CCONJ
ijassa-157	38	20	the	the	DET
ijassa-157	38	21	classification	classification	NOUN
ijassa-157	38	22	process	process	NOUN
ijassa-157	38	23	is	be	AUX
ijassa-157	38	24	continued	continue	VERB
ijassa-157	38	25	with	with	ADP
ijassa-157	38	26	a	a	DET
ijassa-157	38	27	reduced	reduce	VERB
ijassa-157	38	28	number	number	NOUN
ijassa-157	38	29	of	of	ADP
ijassa-157	38	30	classes	class	NOUN
ijassa-157	38	31	.	.	PUNCT
ijassa-157	39	1	the	the	DET
ijassa-157	39	2	class	class	NOUN
ijassa-157	39	3	elimination	elimination	NOUN
ijassa-157	39	4	rule	rule	NOUN
ijassa-157	39	5	is	be	AUX
ijassa-157	39	6	based	base	VERB
ijassa-157	39	7	on	on	ADP
ijassa-157	39	8	the	the	DET
ijassa-157	39	9	generalized	generalize	VERB
ijassa-157	39	10	likelihood	likelihood	NOUN
ijassa-157	39	11	ratio	ratio	NOUN
ijassa-157	39	12	.	.	PUNCT
ijassa-157	40	1	the	the	DET
ijassa-157	40	2	outline	outline	NOUN
ijassa-157	40	3	of	of	ADP
ijassa-157	40	4	the	the	DET
ijassa-157	40	5	paper	paper	NOUN
ijassa-157	40	6	is	be	AUX
ijassa-157	40	7	as	as	SCONJ
ijassa-157	40	8	follows	follow	VERB
ijassa-157	40	9	.	.	PUNCT
ijassa-157	41	1	a	a	DET
ijassa-157	41	2	problem	problem	NOUN
ijassa-157	41	3	of	of	ADP
ijassa-157	41	4	signal	signal	ADJ
ijassa-157	41	5	detection	detection	NOUN
ijassa-157	41	6	in	in	ADP
ijassa-157	41	7	clutter	clutter	NOUN
ijassa-157	41	8	is	be	AUX
ijassa-157	41	9	considered	consider	VERB
ijassa-157	41	10	in	in	ADP
ijassa-157	41	11	section	section	NOUN
ijassa-157	41	12	2	2	NUM
ijassa-157	41	13	.	.	PUNCT
ijassa-157	41	14	section	section	NOUN
ijassa-157	41	15	3	3	NUM
ijassa-157	41	16	is	be	AUX
ijassa-157	41	17	devoted	devote	VERB
ijassa-157	41	18	to	to	ADP
ijassa-157	41	19	a	a	DET
ijassa-157	41	20	problem	problem	NOUN
ijassa-157	41	21	of	of	ADP
ijassa-157	41	22	target	target	NOUN
ijassa-157	41	23	signal	signal	NOUN
ijassa-157	41	24	recognition	recognition	NOUN
ijassa-157	41	25	.	.	PUNCT
ijassa-157	42	1	advances	advance	NOUN
ijassa-157	42	2	in	in	ADP
ijassa-157	42	3	systems	system	NOUN
ijassa-157	42	4	science	science	NOUN
ijassa-157	42	5	and	and	CCONJ
ijassa-157	42	6	applications	application	NOUN
ijassa-157	42	7	(	(	PUNCT
ijassa-157	42	8	2014	2014	NUM
ijassa-157	42	9	)	)	PUNCT
ijassa-157	42	10	vol.14	vol.14	NOUN
ijassa-157	42	11	no.2	no.2	NUM
ijassa-157	42	12	131	131	NUM
ijassa-157	42	13	2	2	NUM
ijassa-157	42	14	signal	signal	NOUN
ijassa-157	42	15	detection	detection	NOUN
ijassa-157	42	16	in	in	ADP
ijassa-157	42	17	clutter	clutter	NOUN
ijassa-157	42	18	the	the	DET
ijassa-157	42	19	problem	problem	NOUN
ijassa-157	42	20	of	of	ADP
ijassa-157	42	21	detecting	detect	VERB
ijassa-157	42	22	the	the	DET
ijassa-157	42	23	unknown	unknown	ADJ
ijassa-157	42	24	deterministic	deterministic	ADJ
ijassa-157	42	25	signal	signal	NOUN
ijassa-157	42	26	s	s	VERB
ijassa-157	42	27	in	in	ADP
ijassa-157	42	28	the	the	DET
ijassa-157	42	29	presence	presence	NOUN
ijassa-157	42	30	of	of	ADP
ijassa-157	42	31	a	a	DET
ijassa-157	42	32	clutter	clutter	NOUN
ijassa-157	42	33	process	process	NOUN
ijassa-157	42	34	,	,	PUNCT
ijassa-157	42	35	which	which	PRON
ijassa-157	42	36	is	be	AUX
ijassa-157	42	37	incompletely	incompletely	ADV
ijassa-157	42	38	specified	specify	VERB
ijassa-157	42	39	,	,	PUNCT
ijassa-157	42	40	can	can	AUX
ijassa-157	42	41	be	be	AUX
ijassa-157	42	42	viewed	view	VERB
ijassa-157	42	43	as	as	ADP
ijassa-157	42	44	a	a	DET
ijassa-157	42	45	binary	binary	ADJ
ijassa-157	42	46	hypothesis	hypothesis	NOUN
ijassa-157	42	47	-	-	PUNCT
ijassa-157	42	48	testing	testing	NOUN
ijassa-157	42	49	problem	problem	NOUN
ijassa-157	42	50	.	.	PUNCT
ijassa-157	43	1	the	the	DET
ijassa-157	43	2	decision	decision	NOUN
ijassa-157	43	3	is	be	AUX
ijassa-157	43	4	based	base	VERB
ijassa-157	43	5	on	on	ADP
ijassa-157	43	6	a	a	DET
ijassa-157	43	7	sample	sample	NOUN
ijassa-157	43	8	of	of	ADP
ijassa-157	43	9	observation	observation	NOUN
ijassa-157	43	10	vectors	vector	NOUN
ijassa-157	43	11	xi	xi	X
ijassa-157	43	12	=	=	SYM
ijassa-157	43	13	(	(	PUNCT
ijassa-157	43	14	xi1	xi1	PROPN
ijassa-157	43	15	,	,	PUNCT
ijassa-157	43	16	...	...	PUNCT
ijassa-157	43	17	,	,	PUNCT
ijassa-157	43	18	xip	xip	NOUN
ijassa-157	43	19	)	)	PUNCT
ijassa-157	43	20	′	′	NOUN
ijassa-157	43	21	,	,	PUNCT
ijassa-157	43	22	i	i	NOUN
ijassa-157	43	23	=	=	SYM
ijassa-157	43	24	1(1)n	1(1)n	NUM
ijassa-157	43	25	,	,	PUNCT
ijassa-157	43	26	each	each	PRON
ijassa-157	43	27	of	of	ADP
ijassa-157	43	28	which	which	PRON
ijassa-157	43	29	is	be	AUX
ijassa-157	43	30	composed	compose	VERB
ijassa-157	43	31	of	of	ADP
ijassa-157	43	32	clutter	clutter	NOUN
ijassa-157	43	33	wi	wi	PROPN
ijassa-157	43	34	=	=	PROPN
ijassa-157	43	35	(	(	PUNCT
ijassa-157	43	36	wi1	wi1	PROPN
ijassa-157	43	37	,	,	PUNCT
ijassa-157	43	38	...	...	PUNCT
ijassa-157	43	39	,	,	PUNCT
ijassa-157	43	40	wip	wip	PROPN
ijassa-157	43	41	)	)	PUNCT
ijassa-157	43	42	′	′	NUM
ijassa-157	44	1	under	under	ADP
ijassa-157	44	2	the	the	DET
ijassa-157	44	3	hypothesish0	hypothesish0	PROPN
ijassa-157	44	4	and	and	CCONJ
ijassa-157	44	5	a	a	DET
ijassa-157	44	6	signal	signal	NOUN
ijassa-157	44	7	s	s	PART
ijassa-157	44	8	=	=	SYM
ijassa-157	44	9	(	(	PUNCT
ijassa-157	44	10	s1	s1	PROPN
ijassa-157	44	11	,	,	PUNCT
ijassa-157	44	12	...	...	PUNCT
ijassa-157	44	13	,	,	PUNCT
ijassa-157	44	14	sp	sp	NOUN
ijassa-157	44	15	)	)	PUNCT
ijassa-157	44	16	′	′	NUM
ijassa-157	44	17	added	add	VERB
ijassa-157	44	18	to	to	PART
ijassa-157	44	19	clutter	clutter	VERB
ijassa-157	44	20	wi	wi	PROPN
ijassa-157	44	21	under	under	ADP
ijassa-157	44	22	the	the	DET
ijassa-157	44	23	alternativeh1	alternativeh1	PROPN
ijassa-157	44	24	,	,	PUNCT
ijassa-157	44	25	where	where	SCONJ
ijassa-157	44	26	n	n	ADP
ijassa-157	44	27	>	>	X
ijassa-157	45	1	p.	p.	NOUN
ijassa-157	46	1	the	the	DET
ijassa-157	46	2	two	two	NUM
ijassa-157	46	3	hypotheses	hypothesis	NOUN
ijassa-157	46	4	that	that	SCONJ
ijassa-157	46	5	the	the	DET
ijassa-157	46	6	detector	detector	NOUN
ijassa-157	46	7	must	must	AUX
ijassa-157	46	8	distinguish	distinguish	VERB
ijassa-157	46	9	are	be	AUX
ijassa-157	46	10	given	give	VERB
ijassa-157	46	11	by	by	ADP
ijassa-157	46	12	h0	h0	NOUN
ijassa-157	46	13	:	:	PUNCT
ijassa-157	46	14	x	x	PUNCT
ijassa-157	46	15	=	=	SYM
ijassa-157	46	16	w(clutteralone	w(clutteralone	NOUN
ijassa-157	46	17	)	)	PUNCT
ijassa-157	46	18	(	(	PUNCT
ijassa-157	46	19	1	1	X
ijassa-157	46	20	)	)	PUNCT
ijassa-157	46	21	h1	h1	NOUN
ijassa-157	46	22	:	:	PUNCT
ijassa-157	46	23	x	x	PUNCT
ijassa-157	46	24	=	=	SYM
ijassa-157	46	25	w	w	PUNCT
ijassa-157	47	1	+	+	PUNCT
ijassa-157	47	2	cs	cs	PROPN
ijassa-157	47	3	′	′	NUM
ijassa-157	47	4	(	(	PUNCT
ijassa-157	47	5	signalpresent	signalpresent	NOUN
ijassa-157	47	6	)	)	PUNCT
ijassa-157	47	7	(	(	PUNCT
ijassa-157	47	8	2	2	X
ijassa-157	47	9	)	)	PUNCT
ijassa-157	48	1	where	where	SCONJ
ijassa-157	48	2	x	x	SYM
ijassa-157	48	3	=	=	PRON
ijassa-157	48	4	(	(	PUNCT
ijassa-157	48	5	x1	x1	PROPN
ijassa-157	48	6	,	,	PUNCT
ijassa-157	48	7	...	...	PUNCT
ijassa-157	48	8	,	,	PUNCT
ijassa-157	48	9	xn	xn	PROPN
ijassa-157	48	10	)	)	PUNCT
ijassa-157	48	11	′	′	NUM
ijassa-157	48	12	(	(	PUNCT
ijassa-157	48	13	3	3	X
ijassa-157	48	14	)	)	PUNCT
ijassa-157	48	15	w	w	NOUN
ijassa-157	48	16	=	=	SYM
ijassa-157	48	17	(	(	PUNCT
ijassa-157	48	18	w1	w1	NOUN
ijassa-157	48	19	,	,	PUNCT
ijassa-157	48	20	...	...	PUNCT
ijassa-157	48	21	,	,	PUNCT
ijassa-157	48	22	wn	wn	PROPN
ijassa-157	48	23	)	)	PUNCT
ijassa-157	48	24	′	′	NUM
ijassa-157	48	25	(	(	PUNCT
ijassa-157	48	26	4	4	X
ijassa-157	48	27	)	)	PUNCT
ijassa-157	48	28	are	be	AUX
ijassa-157	48	29	n	n	PRON
ijassa-157	48	30	>	>	X
ijassa-157	48	31	p	p	X
ijassa-157	48	32	random	random	ADJ
ijassa-157	48	33	matrices	matrix	NOUN
ijassa-157	48	34	,	,	PUNCT
ijassa-157	48	35	and	and	CCONJ
ijassa-157	48	36	c	c	X
ijassa-157	48	37	=	=	SYM
ijassa-157	48	38	(	(	PUNCT
ijassa-157	48	39	1	1	NUM
ijassa-157	48	40	,	,	PUNCT
ijassa-157	48	41	...	...	PUNCT
ijassa-157	48	42	,	,	PUNCT
ijassa-157	48	43	1	1	X
ijassa-157	48	44	)	)	PUNCT
ijassa-157	48	45	′	′	NOUN
ijassa-157	48	46	(	(	PUNCT
ijassa-157	48	47	5	5	X
ijassa-157	48	48	)	)	PUNCT
ijassa-157	48	49	is	be	AUX
ijassa-157	48	50	a	a	DET
ijassa-157	48	51	column	column	NOUN
ijassa-157	48	52	vector	vector	NOUN
ijassa-157	48	53	of	of	ADP
ijassa-157	48	54	n	n	DET
ijassa-157	48	55	units	unit	NOUN
ijassa-157	48	56	.	.	PUNCT
ijassa-157	49	1	it	it	PRON
ijassa-157	49	2	is	be	AUX
ijassa-157	49	3	assumed	assume	VERB
ijassa-157	49	4	that	that	SCONJ
ijassa-157	49	5	wi	wi	PROPN
ijassa-157	49	6	,	,	PUNCT
ijassa-157	49	7	i	i	NOUN
ijassa-157	49	8	=	=	SYM
ijassa-157	49	9	1(1)n	1(1)n	NUM
ijassa-157	49	10	,	,	PUNCT
ijassa-157	49	11	are	be	AUX
ijassa-157	49	12	independent	independent	ADJ
ijassa-157	49	13	and	and	CCONJ
ijassa-157	49	14	normally	normally	ADV
ijassa-157	49	15	distributed	distribute	VERB
ijassa-157	49	16	with	with	ADP
ijassa-157	49	17	common	common	ADJ
ijassa-157	49	18	mean	mean	NOUN
ijassa-157	49	19	0	0	NUM
ijassa-157	49	20	and	and	CCONJ
ijassa-157	49	21	covariance	covariance	NOUN
ijassa-157	49	22	matrix	matrix	NOUN
ijassa-157	49	23	(	(	PUNCT
ijassa-157	49	24	positive	positive	ADJ
ijassa-157	49	25	definite	definite	ADJ
ijassa-157	49	26	)	)	PUNCT
ijassa-157	49	27	q	q	NOUN
ijassa-157	49	28	,	,	PUNCT
ijassa-157	49	29	i.e.	i.e.	X
ijassa-157	49	30	wi	wi	PROPN
ijassa-157	49	31	∼	∼	NOUN
ijassa-157	49	32	np(0,q	np(0,q	NOUN
ijassa-157	49	33	)	)	PUNCT
ijassa-157	49	34	,	,	PUNCT
ijassa-157	49	35	∀i	∀i	NOUN
ijassa-157	49	36	=	=	SYM
ijassa-157	49	37	1(1)n	1(1)n	NUM
ijassa-157	49	38	.	.	PUNCT
ijassa-157	50	1	(	(	PUNCT
ijassa-157	50	2	6	6	NUM
ijassa-157	50	3	)	)	PUNCT
ijassa-157	50	4	thus	thus	ADV
ijassa-157	50	5	,	,	PUNCT
ijassa-157	50	6	for	for	ADP
ijassa-157	50	7	fixed	fixed	ADJ
ijassa-157	50	8	n	n	CCONJ
ijassa-157	50	9	,	,	PUNCT
ijassa-157	50	10	the	the	DET
ijassa-157	50	11	problem	problem	NOUN
ijassa-157	50	12	is	be	AUX
ijassa-157	50	13	to	to	PART
ijassa-157	50	14	construct	construct	VERB
ijassa-157	50	15	a	a	DET
ijassa-157	50	16	test	test	NOUN
ijassa-157	50	17	,	,	PUNCT
ijassa-157	50	18	which	which	PRON
ijassa-157	50	19	consists	consist	VERB
ijassa-157	50	20	of	of	ADP
ijassa-157	50	21	testing	test	VERB
ijassa-157	50	22	the	the	DET
ijassa-157	50	23	null	null	ADJ
ijassa-157	50	24	hypothesis	hypothesis	NOUN
ijassa-157	50	25	h0	h0	NOUN
ijassa-157	50	26	:	:	PUNCT
ijassa-157	50	27	xi	xi	ADP
ijassa-157	50	28	∼	∼	NOUN
ijassa-157	50	29	np	np	INTJ
ijassa-157	50	30	(	(	PUNCT
ijassa-157	50	31	0,q	0,q	NUM
ijassa-157	50	32	)	)	PUNCT
ijassa-157	50	33	,	,	PUNCT
ijassa-157	50	34	∀i	∀i	NOUN
ijassa-157	50	35	=	=	SYM
ijassa-157	50	36	1(1)n	1(1)n	NUM
ijassa-157	50	37	.	.	PUNCT
ijassa-157	51	1	(	(	PUNCT
ijassa-157	51	2	7	7	NUM
ijassa-157	51	3	)	)	PUNCT
ijassa-157	51	4	versus	versus	ADP
ijassa-157	51	5	the	the	DET
ijassa-157	51	6	alternative	alternative	ADJ
ijassa-157	51	7	h1	h1	NOUN
ijassa-157	51	8	:	:	PUNCT
ijassa-157	51	9	xi	xi	X
ijassa-157	51	10	∼	∼	NOUN
ijassa-157	51	11	np	np	INTJ
ijassa-157	51	12	(	(	PUNCT
ijassa-157	51	13	s	s	X
ijassa-157	51	14	,	,	PUNCT
ijassa-157	51	15	q	q	NOUN
ijassa-157	51	16	)	)	PUNCT
ijassa-157	51	17	,	,	PUNCT
ijassa-157	51	18	∀i	∀i	NOUN
ijassa-157	51	19	=	=	SYM
ijassa-157	51	20	1(1)n	1(1)n	NUM
ijassa-157	51	21	.	.	PUNCT
ijassa-157	52	1	(	(	PUNCT
ijassa-157	52	2	8)	8)	NUM
ijassa-157	52	3	where	where	SCONJ
ijassa-157	52	4	the	the	DET
ijassa-157	52	5	parameters	parameter	NOUN
ijassa-157	52	6	q	q	PROPN
ijassa-157	52	7	and	and	CCONJ
ijassa-157	52	8	s	s	VERB
ijassa-157	52	9	are	be	AUX
ijassa-157	52	10	unknown	unknown	ADJ
ijassa-157	52	11	.	.	PUNCT
ijassa-157	53	1	remark	remark	PROPN
ijassa-157	53	2	1	1	NUM
ijassa-157	53	3	.	.	PUNCT
ijassa-157	53	4	characterization	characterization	NOUN
ijassa-157	53	5	of	of	ADP
ijassa-157	53	6	the	the	DET
ijassa-157	53	7	multivariate	multivariate	NOUN
ijassa-157	53	8	normality	normality	NOUN
ijassa-157	53	9	is	be	AUX
ijassa-157	53	10	given	give	VERB
ijassa-157	53	11	by	by	ADP
ijassa-157	53	12	the	the	DET
ijassa-157	53	13	following	follow	VERB
ijassa-157	53	14	theorem	theorem	PROPN
ijassa-157	53	15	.	.	PUNCT
ijassa-157	54	1	theorem	theorem	ADJ
ijassa-157	54	2	1	1	NUM
ijassa-157	54	3	(	(	PUNCT
ijassa-157	54	4	characterization	characterization	NOUN
ijassa-157	54	5	of	of	ADP
ijassa-157	54	6	the	the	DET
ijassa-157	54	7	multivariate	multivariate	NOUN
ijassa-157	54	8	normality	normality	NOUN
ijassa-157	54	9	)	)	PUNCT
ijassa-157	54	10	.	.	PUNCT
ijassa-157	55	1	let	let	VERB
ijassa-157	55	2	xi	xi	NUM
ijassa-157	55	3	,	,	PUNCT
ijassa-157	55	4	i	i	PRON
ijassa-157	55	5	=	=	SYM
ijassa-157	55	6	1(1)n	1(1)n	NUM
ijassa-157	55	7	,	,	PUNCT
ijassa-157	55	8	be	be	VERB
ijassa-157	55	9	n	n	PRON
ijassa-157	55	10	independent	independent	ADJ
ijassa-157	55	11	p	p	ADJ
ijassa-157	55	12	-	-	PUNCT
ijassa-157	55	13	multivariate	multivariate	NOUN
ijassa-157	55	14	random	random	ADJ
ijassa-157	55	15	variables	variable	NOUN
ijassa-157	55	16	(	(	PUNCT
ijassa-157	55	17	n	n	CCONJ
ijassa-157	55	18	≥	≥	NOUN
ijassa-157	55	19	p+2	p+2	NUM
ijassa-157	55	20	)	)	PUNCT
ijassa-157	55	21	with	with	ADP
ijassa-157	55	22	common	common	ADJ
ijassa-157	55	23	mean	mean	NOUN
ijassa-157	55	24	bfa	bfa	PROPN
ijassa-157	55	25	and	and	CCONJ
ijassa-157	55	26	covariance	covariance	NOUN
ijassa-157	55	27	matrix	matrix	NOUN
ijassa-157	55	28	(	(	PUNCT
ijassa-157	55	29	positive	positive	ADJ
ijassa-157	55	30	definite	definite	ADJ
ijassa-157	55	31	)	)	PUNCT
ijassa-157	55	32	bfq	bfq	NOUN
ijassa-157	55	33	.	.	PUNCT
ijassa-157	56	1	let	let	VERB
ijassa-157	56	2	zk	zk	PROPN
ijassa-157	56	3	,	,	PUNCT
ijassa-157	56	4	k	k	PROPN
ijassa-157	56	5	=	=	SYM
ijassa-157	56	6	p+2	p+2	PROPN
ijassa-157	56	7	,	,	PUNCT
ijassa-157	56	8	,	,	PUNCT
ijassa-157	56	9	n	n	CCONJ
ijassa-157	56	10	,	,	PUNCT
ijassa-157	56	11	be	be	AUX
ijassa-157	56	12	defined	define	VERB
ijassa-157	56	13	by	by	ADP
ijassa-157	56	14	zk	zk	X
ijassa-157	56	15	=	=	PUNCT
ijassa-157	56	16	k	k	PROPN
ijassa-157	57	1	−	−	PROPN
ijassa-157	57	2	(	(	PUNCT
ijassa-157	57	3	p+	p+	NOUN
ijassa-157	57	4	1	1	NUM
ijassa-157	57	5	)	)	PUNCT
ijassa-157	57	6	p	p	NOUN
ijassa-157	58	1	k	k	NOUN
ijassa-157	58	2	−	−	PROPN
ijassa-157	59	1	1	1	NUM
ijassa-157	59	2	k	k	PROPN
ijassa-157	59	3	(	(	PUNCT
ijassa-157	59	4	xk	xk	INTJ
ijassa-157	59	5	−	−	PROPN
ijassa-157	59	6	x̄k−1	x̄k−1	NOUN
ijassa-157	59	7	)	)	PUNCT
ijassa-157	59	8	′s−1	′s−1	NOUN
ijassa-157	59	9	k−1	k−1	PROPN
ijassa-157	59	10	(	(	PUNCT
ijassa-157	59	11	xk	xk	PROPN
ijassa-157	59	12	−	−	PROPN
ijassa-157	59	13	x̄k−1	x̄k−1	NOUN
ijassa-157	59	14	)	)	PUNCT
ijassa-157	59	15	132	132	NUM
ijassa-157	59	16	konstantin	konstantin	PROPN
ijassa-157	59	17	n.	n.	PROPN
ijassa-157	59	18	nechval	nechval	PROPN
ijassa-157	59	19	:	:	PUNCT
ijassa-157	59	20	adaptive	adaptive	ADJ
ijassa-157	59	21	cfar	cfar	NOUN
ijassa-157	59	22	tests	test	NOUN
ijassa-157	59	23	for	for	ADP
ijassa-157	59	24	detection	detection	NOUN
ijassa-157	59	25	and	and	CCONJ
ijassa-157	59	26	recognition	recognition	NOUN
ijassa-157	59	27	of	of	ADP
ijassa-157	59	28	target	target	NOUN
ijassa-157	59	29	...	...	PUNCT
ijassa-157	60	1	=	=	SYM
ijassa-157	61	1	k	k	X
ijassa-157	62	1	−	−	PROPN
ijassa-157	62	2	(	(	PUNCT
ijassa-157	62	3	p+	p+	NOUN
ijassa-157	62	4	1	1	NUM
ijassa-157	62	5	)	)	PUNCT
ijassa-157	62	6	p	p	NOUN
ijassa-157	62	7	(	(	PUNCT
ijassa-157	62	8	|sk|	|sk|	NOUN
ijassa-157	62	9	|sk−1|	|sk−1|	PROPN
ijassa-157	62	10	−	−	NOUN
ijassa-157	62	11	1	1	NUM
ijassa-157	62	12	)	)	PUNCT
ijassa-157	62	13	,	,	PUNCT
ijassa-157	62	14	k	k	PROPN
ijassa-157	62	15	=	=	X
ijassa-157	62	16	p+	p+	NOUN
ijassa-157	62	17	2,	2,	ADJ
ijassa-157	62	18	...	...	PUNCT
ijassa-157	62	19	,n	,n	NOUN
ijassa-157	62	20	,	,	PUNCT
ijassa-157	62	21	(	(	PUNCT
ijassa-157	62	22	9	9	NUM
ijassa-157	62	23	)	)	PUNCT
ijassa-157	62	24	where	where	SCONJ
ijassa-157	62	25	x̄k−1	x̄k−1	NOUN
ijassa-157	62	26	=	=	PRON
ijassa-157	62	27	k−1∑	k−1∑	PROPN
ijassa-157	62	28	i=1	i=1	PROPN
ijassa-157	62	29	xi/(k	xi/(k	PUNCT
ijassa-157	63	1	−	−	PROPN
ijassa-157	63	2	1	1	NUM
ijassa-157	63	3	)	)	PUNCT
ijassa-157	63	4	,	,	PUNCT
ijassa-157	63	5	(	(	PUNCT
ijassa-157	63	6	10	10	X
ijassa-157	63	7	)	)	PUNCT
ijassa-157	63	8	sk−1	sk−1	PROPN
ijassa-157	64	1	=	=	SYM
ijassa-157	64	2	k−1∑	k−1∑	PROPN
ijassa-157	64	3	i=1	i=1	PROPN
ijassa-157	65	1	(	(	PUNCT
ijassa-157	65	2	xi	xi	PROPN
ijassa-157	65	3	−	−	PROPN
ijassa-157	65	4	x̄k−1)(xi	x̄k−1)(xi	PROPN
ijassa-157	66	1	−	−	PROPN
ijassa-157	66	2	x̄k−1	x̄k−1	NOUN
ijassa-157	66	3	)	)	PUNCT
ijassa-157	66	4	′	′	NOUN
ijassa-157	66	5	,	,	PUNCT
ijassa-157	66	6	(	(	PUNCT
ijassa-157	66	7	11	11	NUM
ijassa-157	66	8	)	)	PUNCT
ijassa-157	66	9	then	then	ADV
ijassa-157	66	10	the	the	DET
ijassa-157	66	11	xi	xi	X
ijassa-157	66	12	(	(	PUNCT
ijassa-157	66	13	i	i	NOUN
ijassa-157	66	14	=	=	NOUN
ijassa-157	66	15	1	1	NUM
ijassa-157	66	16	,	,	PUNCT
ijassa-157	66	17	.	.	PUNCT
ijassa-157	66	18	.	.	PUNCT
ijassa-157	66	19	.	.	PUNCT
ijassa-157	66	20	,	,	PUNCT
ijassa-157	66	21	n	n	CCONJ
ijassa-157	66	22	)	)	PUNCT
ijassa-157	66	23	arenp	arenp	NOUN
ijassa-157	66	24	(	(	PUNCT
ijassa-157	66	25	a	a	DET
ijassa-157	66	26	,	,	PUNCT
ijassa-157	66	27	q	q	NOUN
ijassa-157	66	28	)	)	PUNCT
ijassa-157	67	1	if	if	SCONJ
ijassa-157	67	2	and	and	CCONJ
ijassa-157	67	3	only	only	ADV
ijassa-157	67	4	if	if	SCONJ
ijassa-157	67	5	zp+2	zp+2	NUM
ijassa-157	67	6	,	,	PUNCT
ijassa-157	67	7	...	...	PUNCT
ijassa-157	67	8	,	,	PUNCT
ijassa-157	67	9	zn	zn	NOUN
ijassa-157	67	10	are	be	AUX
ijassa-157	67	11	independently	independently	ADV
ijassa-157	67	12	distributed	distribute	VERB
ijassa-157	67	13	according	accord	VERB
ijassa-157	67	14	to	to	ADP
ijassa-157	67	15	the	the	DET
ijassa-157	67	16	centralf	centralf	ADJ
ijassa-157	67	17	distribution	distribution	NOUN
ijassa-157	67	18	with	with	ADP
ijassa-157	67	19	p	p	NOUN
ijassa-157	67	20	and	and	CCONJ
ijassa-157	67	21	1	1	NUM
ijassa-157	67	22	,	,	PUNCT
ijassa-157	67	23	2	2	NUM
ijassa-157	67	24	,	,	PUNCT
ijassa-157	67	25	...	...	PUNCT
ijassa-157	67	26	n−	n−	NOUN
ijassa-157	67	27	(	(	PUNCT
ijassa-157	67	28	p+	p+	NOUN
ijassa-157	67	29	1	1	NUM
ijassa-157	67	30	)	)	PUNCT
ijassa-157	67	31	degrees	degree	NOUN
ijassa-157	67	32	of	of	ADP
ijassa-157	67	33	freedom	freedom	NOUN
ijassa-157	67	34	,	,	PUNCT
ijassa-157	67	35	respectively	respectively	ADV
ijassa-157	67	36	.	.	PUNCT
ijassa-157	68	1	proof	proof	NOUN
ijassa-157	68	2	.	.	PUNCT
ijassa-157	69	1	the	the	DET
ijassa-157	69	2	proof	proof	NOUN
ijassa-157	69	3	is	be	AUX
ijassa-157	69	4	similar	similar	ADJ
ijassa-157	69	5	to	to	ADP
ijassa-157	69	6	that	that	PRON
ijassa-157	69	7	of	of	ADP
ijassa-157	69	8	the	the	DET
ijassa-157	69	9	characterization	characterization	NOUN
ijassa-157	69	10	theorems	theorem	NOUN
ijassa-157	70	1	[	[	X
ijassa-157	70	2	3	3	NUM
ijassa-157	70	3	-	-	SYM
ijassa-157	70	4	4	4	NUM
ijassa-157	70	5	]	]	PUNCT
ijassa-157	70	6	and	and	CCONJ
ijassa-157	70	7	so	so	ADV
ijassa-157	70	8	it	it	PRON
ijassa-157	70	9	is	be	AUX
ijassa-157	70	10	omitted	omit	VERB
ijassa-157	70	11	here	here	ADV
ijassa-157	70	12	.	.	PUNCT
ijassa-157	71	1	2.1	2.1	NUM
ijassa-157	71	2	goodness	goodness	NOUN
ijassa-157	71	3	-	-	PUNCT
ijassa-157	71	4	of	of	ADP
ijassa-157	71	5	-	-	PUNCT
ijassa-157	71	6	fit	fit	ADJ
ijassa-157	71	7	testing	testing	NOUN
ijassa-157	71	8	for	for	ADP
ijassa-157	71	9	the	the	DET
ijassa-157	71	10	multivariate	multivariate	NOUN
ijassa-157	71	11	normality	normality	NOUN
ijassa-157	71	12	the	the	DET
ijassa-157	71	13	results	result	NOUN
ijassa-157	71	14	of	of	ADP
ijassa-157	71	15	theorem	theorem	NOUN
ijassa-157	71	16	1	1	NUM
ijassa-157	71	17	can	can	AUX
ijassa-157	71	18	be	be	AUX
ijassa-157	71	19	used	use	VERB
ijassa-157	71	20	to	to	PART
ijassa-157	71	21	obtain	obtain	VERB
ijassa-157	71	22	test	test	NOUN
ijassa-157	71	23	for	for	ADP
ijassa-157	71	24	the	the	DET
ijassa-157	71	25	hypothesis	hypothesis	NOUN
ijassa-157	71	26	of	of	ADP
ijassa-157	71	27	the	the	DET
ijassa-157	71	28	form	form	NOUN
ijassa-157	71	29	h0	h0	NOUN
ijassa-157	71	30	:	:	PUNCT
ijassa-157	71	31	xi	xi	PROPN
ijassa-157	71	32	follows	follow	VERB
ijassa-157	71	33	np	np	INTJ
ijassa-157	71	34	(	(	PUNCT
ijassa-157	71	35	a	a	DET
ijassa-157	71	36	,	,	PUNCT
ijassa-157	71	37	q	q	NOUN
ijassa-157	71	38	)	)	PUNCT
ijassa-157	71	39	versus	versus	ADP
ijassa-157	71	40	ha	ha	INTJ
ijassa-157	71	41	:	:	PUNCT
ijassa-157	71	42	xi	xi	X
ijassa-157	71	43	does	do	AUX
ijassa-157	71	44	not	not	PART
ijassa-157	71	45	follow	follow	VERB
ijassa-157	71	46	np	np	INTJ
ijassa-157	71	47	(	(	PUNCT
ijassa-157	71	48	a	a	DET
ijassa-157	71	49	,	,	PUNCT
ijassa-157	71	50	q	q	NOUN
ijassa-157	71	51	)	)	PUNCT
ijassa-157	71	52	,	,	PUNCT
ijassa-157	71	53	∀i	∀i	NOUN
ijassa-157	71	54	=	=	SYM
ijassa-157	71	55	1(1)n	1(1)n	NUM
ijassa-157	71	56	the	the	DET
ijassa-157	71	57	general	general	ADJ
ijassa-157	71	58	strategy	strategy	NOUN
ijassa-157	71	59	is	be	AUX
ijassa-157	71	60	to	to	PART
ijassa-157	71	61	apply	apply	VERB
ijassa-157	71	62	the	the	DET
ijassa-157	71	63	probability	probability	NOUN
ijassa-157	71	64	integral	integral	ADJ
ijassa-157	71	65	transforms	transform	NOUN
ijassa-157	71	66	[	[	X
ijassa-157	71	67	5	5	NUM
ijassa-157	71	68	]	]	PUNCT
ijassa-157	71	69	of	of	ADP
ijassa-157	71	70	zk	zk	PROPN
ijassa-157	71	71	,	,	PUNCT
ijassa-157	71	72	∀k	∀k	X
ijassa-157	71	73	=	=	SYM
ijassa-157	72	1	p	p	X
ijassa-157	72	2	+	+	ADJ
ijassa-157	72	3	2	2	NUM
ijassa-157	72	4	(	(	PUNCT
ijassa-157	72	5	1)n	1)n	NUM
ijassa-157	72	6	,	,	PUNCT
ijassa-157	72	7	to	to	PART
ijassa-157	72	8	obtain	obtain	VERB
ijassa-157	72	9	a	a	DET
ijassa-157	72	10	set	set	NOUN
ijassa-157	72	11	of	of	ADP
ijassa-157	72	12	i.i.d	i.i.d	NOUN
ijassa-157	72	13	.	.	PUNCT
ijassa-157	73	1	u(0	u(0	NOUN
ijassa-157	73	2	,	,	PUNCT
ijassa-157	73	3	1	1	X
ijassa-157	73	4	)	)	PUNCT
ijassa-157	73	5	random	random	ADJ
ijassa-157	73	6	variables	variable	NOUN
ijassa-157	73	7	under	under	ADP
ijassa-157	73	8	h0	h0	PROPN
ijassa-157	73	9	.	.	PUNCT
ijassa-157	74	1	under	under	ADP
ijassa-157	74	2	ha	ha	INTJ
ijassa-157	74	3	this	this	DET
ijassa-157	74	4	set	set	NOUN
ijassa-157	74	5	of	of	ADP
ijassa-157	74	6	random	random	ADJ
ijassa-157	74	7	variables	variable	NOUN
ijassa-157	74	8	will	will	AUX
ijassa-157	74	9	,	,	PUNCT
ijassa-157	74	10	in	in	ADP
ijassa-157	74	11	general	general	ADJ
ijassa-157	74	12	,	,	PUNCT
ijassa-157	74	13	not	not	PART
ijassa-157	74	14	be	be	AUX
ijassa-157	74	15	i.i.d	i.i.d	ADJ
ijassa-157	74	16	.	.	PUNCT
ijassa-157	75	1	u(0	u(0	NOUN
ijassa-157	75	2	,	,	PUNCT
ijassa-157	75	3	1	1	NUM
ijassa-157	75	4	)	)	PUNCT
ijassa-157	75	5	.	.	PUNCT
ijassa-157	76	1	any	any	DET
ijassa-157	76	2	statistic	statistic	NOUN
ijassa-157	76	3	,	,	PUNCT
ijassa-157	76	4	which	which	PRON
ijassa-157	76	5	measures	measure	VERB
ijassa-157	76	6	a	a	DET
ijassa-157	76	7	distance	distance	NOUN
ijassa-157	76	8	from	from	ADP
ijassa-157	76	9	uniformity	uniformity	NOUN
ijassa-157	76	10	in	in	ADP
ijassa-157	76	11	the	the	DET
ijassa-157	76	12	transformed	transform	VERB
ijassa-157	76	13	sample	sample	NOUN
ijassa-157	76	14	(	(	PUNCT
ijassa-157	76	15	say	say	INTJ
ijassa-157	76	16	,	,	PUNCT
ijassa-157	76	17	a	a	DET
ijassa-157	76	18	kolmogorov	kolmogorov	ADJ
ijassa-157	76	19	-	-	PUNCT
ijassa-157	76	20	smirnov	smirnov	ADJ
ijassa-157	76	21	statistic	statistic	NOUN
ijassa-157	76	22	)	)	PUNCT
ijassa-157	76	23	,	,	PUNCT
ijassa-157	76	24	can	can	AUX
ijassa-157	76	25	be	be	AUX
ijassa-157	76	26	used	use	VERB
ijassa-157	76	27	as	as	ADP
ijassa-157	76	28	a	a	DET
ijassa-157	76	29	test	test	NOUN
ijassa-157	76	30	statistic	statistic	NOUN
ijassa-157	76	31	.	.	PUNCT
ijassa-157	77	1	2.2	2.2	NUM
ijassa-157	77	2	gmlr	gmlr	NOUN
ijassa-157	77	3	statistic	statistic	NOUN
ijassa-157	77	4	and	and	CCONJ
ijassa-157	77	5	its	its	PRON
ijassa-157	77	6	distribution	distribution	NOUN
ijassa-157	77	7	one	one	NUM
ijassa-157	77	8	of	of	ADP
ijassa-157	77	9	the	the	DET
ijassa-157	77	10	possible	possible	ADJ
ijassa-157	77	11	statistics	statistic	NOUN
ijassa-157	77	12	for	for	ADP
ijassa-157	77	13	testing	testing	NOUN
ijassa-157	77	14	h0	h0	PROPN
ijassa-157	77	15	versus	versus	ADP
ijassa-157	77	16	h1	h1	PROPN
ijassa-157	77	17	is	be	AUX
ijassa-157	77	18	given	give	VERB
ijassa-157	77	19	by	by	ADP
ijassa-157	77	20	the	the	DET
ijassa-157	77	21	generalized	generalized	ADJ
ijassa-157	77	22	maximum	maximum	ADJ
ijassa-157	77	23	likelihood	likelihood	NOUN
ijassa-157	77	24	ratio	ratio	NOUN
ijassa-157	77	25	(	(	PUNCT
ijassa-157	77	26	gmlr	gmlr	NOUN
ijassa-157	77	27	)	)	PUNCT
ijassa-157	77	28	gmlr	gmlr	NOUN
ijassa-157	77	29	=	=	SYM
ijassa-157	77	30	max	max	PROPN
ijassa-157	77	31	θ∈θ1	θ∈θ1	PROPN
ijassa-157	77	32	lh1(x	lh1(x	PROPN
ijassa-157	77	33	;	;	PUNCT
ijassa-157	77	34	θ	θ	X
ijassa-157	77	35	)	)	PUNCT
ijassa-157	77	36	/	/	SYM
ijassa-157	77	37	max	max	PROPN
ijassa-157	77	38	θ∈θ0	θ∈θ0	PROPN
ijassa-157	77	39	lh0(x	lh0(x	PROPN
ijassa-157	77	40	;	;	PUNCT
ijassa-157	77	41	θ	θ	PROPN
ijassa-157	77	42	)	)	PUNCT
ijassa-157	77	43	,	,	PUNCT
ijassa-157	77	44	(	(	PUNCT
ijassa-157	77	45	12	12	NUM
ijassa-157	77	46	)	)	PUNCT
ijassa-157	77	47	where	where	SCONJ
ijassa-157	77	48	q	q	NOUN
ijassa-157	77	49	=	=	SYM
ijassa-157	77	50	(	(	PUNCT
ijassa-157	77	51	s	s	PROPN
ijassa-157	77	52	,	,	PUNCT
ijassa-157	77	53	q	q	NOUN
ijassa-157	77	54	)	)	PUNCT
ijassa-157	77	55	,	,	PUNCT
ijassa-157	77	56	q0	q0	NOUN
ijassa-157	77	57	=	=	SYM
ijassa-157	77	58	{	{	PUNCT
ijassa-157	77	59	(	(	PUNCT
ijassa-157	77	60	s	s	X
ijassa-157	77	61	,	,	PUNCT
ijassa-157	77	62	q	q	NOUN
ijassa-157	77	63	)	)	PUNCT
ijassa-157	77	64	:	:	PUNCT
ijassa-157	77	65	s	s	X
ijassa-157	77	66	=	=	SYM
ijassa-157	77	67	0,q	0,q	PUNCT
ijassa-157	77	68	∈	∈	PROPN
ijassa-157	77	69	qp},q1	qp},q1	PROPN
ijassa-157	77	70	=	=	SYM
ijassa-157	77	71	q	q	NOUN
ijassa-157	77	72	−	−	NOUN
ijassa-157	78	1	q0,q	q0,q	PROPN
ijassa-157	78	2	=	=	SYM
ijassa-157	78	3	{	{	PUNCT
ijassa-157	78	4	(	(	PUNCT
ijassa-157	78	5	s	s	X
ijassa-157	78	6	,	,	PUNCT
ijassa-157	78	7	q	q	NOUN
ijassa-157	78	8	)	)	PUNCT
ijassa-157	78	9	:	:	PUNCT
ijassa-157	78	10	s	s	X
ijassa-157	78	11	∈	∈	PROPN
ijassa-157	78	12	rp	rp	NOUN
ijassa-157	78	13	,	,	PUNCT
ijassa-157	78	14	q	q	PROPN
ijassa-157	78	15	∈	∈	PROPN
ijassa-157	78	16	qp	qp	NOUN
ijassa-157	78	17	}	}	PUNCT
ijassa-157	78	18	,	,	PUNCT
ijassa-157	78	19	qp	qp	ADP
ijassa-157	78	20	denotes	denote	VERB
ijassa-157	78	21	the	the	DET
ijassa-157	78	22	set	set	NOUN
ijassa-157	78	23	of	of	ADP
ijassa-157	78	24	p	p	PROPN
ijassa-157	78	25	×	×	NOUN
ijassa-157	78	26	p	p	X
ijassa-157	78	27	positive	positive	ADJ
ijassa-157	78	28	definite	definite	ADJ
ijassa-157	78	29	matrices	matrix	NOUN
ijassa-157	78	30	.	.	PUNCT
ijassa-157	79	1	under	under	ADP
ijassa-157	79	2	h0	h0	PROPN
ijassa-157	79	3	,	,	PUNCT
ijassa-157	79	4	the	the	DET
ijassa-157	79	5	joint	joint	ADJ
ijassa-157	79	6	likelihood	likelihood	NOUN
ijassa-157	79	7	for	for	ADP
ijassa-157	79	8	x	x	SYM
ijassa-157	79	9	based	base	VERB
ijassa-157	79	10	on	on	ADP
ijassa-157	79	11	(	(	PUNCT
ijassa-157	79	12	7	7	X
ijassa-157	79	13	)	)	PUNCT
ijassa-157	79	14	is	be	AUX
ijassa-157	79	15	lh0(x	lh0(x	NOUN
ijassa-157	79	16	;	;	PUNCT
ijassa-157	79	17	θ)=	θ)=	X
ijassa-157	79	18	(	(	PUNCT
ijassa-157	79	19	2π)−np/2|q|−n/2	2π)−np/2|q|−n/2	NUM
ijassa-157	79	20	exp	exp	NOUN
ijassa-157	79	21	(	(	PUNCT
ijassa-157	79	22	−	−	PROPN
ijassa-157	79	23	n∑	n∑	NOUN
ijassa-157	79	24	i=1	i=1	PROPN
ijassa-157	80	1	x′iq	x′iq	PROPN
ijassa-157	80	2	−1xi/2	−1xi/2	NOUN
ijassa-157	80	3	)	)	PUNCT
ijassa-157	80	4	.	.	PUNCT
ijassa-157	81	1	,	,	PUNCT
ijassa-157	81	2	(	(	PUNCT
ijassa-157	81	3	13	13	NUM
ijassa-157	81	4	)	)	PUNCT
ijassa-157	81	5	under	under	ADP
ijassa-157	81	6	h1	h1	PROPN
ijassa-157	81	7	,	,	PUNCT
ijassa-157	81	8	the	the	DET
ijassa-157	81	9	joint	joint	ADJ
ijassa-157	81	10	likelihood	likelihood	NOUN
ijassa-157	81	11	for	for	ADP
ijassa-157	81	12	x	x	SYM
ijassa-157	81	13	based	base	VERB
ijassa-157	81	14	on	on	ADP
ijassa-157	81	15	(	(	PUNCT
ijassa-157	81	16	8)	8)	NUM
ijassa-157	81	17	is	be	AUX
ijassa-157	81	18	lh1(x	lh1(x	NOUN
ijassa-157	81	19	;	;	PUNCT
ijassa-157	81	20	θ)=	θ)=	X
ijassa-157	81	21	(	(	PUNCT
ijassa-157	81	22	2π)−np/2|q|−n/2	2π)−np/2|q|−n/2	NUM
ijassa-157	81	23	exp	exp	NOUN
ijassa-157	81	24	(	(	PUNCT
ijassa-157	81	25	−	−	PROPN
ijassa-157	81	26	n∑	n∑	NOUN
ijassa-157	81	27	i=1	i=1	PROPN
ijassa-157	82	1	(	(	PUNCT
ijassa-157	82	2	xi	xi	PROPN
ijassa-157	82	3	−	−	PROPN
ijassa-157	82	4	s)′q−1(xi	s)′q−1(xi	NOUN
ijassa-157	82	5	−	−	PUNCT
ijassa-157	82	6	s)/2	s)/2	PROPN
ijassa-157	82	7	)	)	PUNCT
ijassa-157	82	8	.	.	PUNCT
ijassa-157	83	1	(	(	PUNCT
ijassa-157	83	2	14	14	X
ijassa-157	83	3	)	)	PUNCT
ijassa-157	83	4	advances	advance	NOUN
ijassa-157	83	5	in	in	ADP
ijassa-157	83	6	systems	system	NOUN
ijassa-157	83	7	science	science	NOUN
ijassa-157	83	8	and	and	CCONJ
ijassa-157	83	9	applications	application	NOUN
ijassa-157	83	10	(	(	PUNCT
ijassa-157	83	11	2014	2014	NUM
ijassa-157	83	12	)	)	PUNCT
ijassa-157	83	13	vol.14	vol.14	NOUN
ijassa-157	83	14	no.2	no.2	NUM
ijassa-157	83	15	133	133	NUM
ijassa-157	83	16	it	it	PRON
ijassa-157	83	17	can	can	AUX
ijassa-157	83	18	be	be	AUX
ijassa-157	83	19	shown	show	VERB
ijassa-157	83	20	that	that	SCONJ
ijassa-157	83	21	gmlr=	gmlr=	NUM
ijassa-157	83	22	∣∣∣q̂0	∣∣∣q̂0	NUM
ijassa-157	83	23	∣∣∣n/2∣∣∣q̂1	∣∣∣n/2∣∣∣q̂1	X
ijassa-157	83	24	∣∣∣−n/2	∣∣∣−n/2	X
ijassa-157	83	25	,	,	PUNCT
ijassa-157	83	26	(	(	PUNCT
ijassa-157	83	27	15	15	NUM
ijassa-157	83	28	)	)	PUNCT
ijassa-157	83	29	where	where	SCONJ
ijassa-157	83	30	q̂0	q̂0	VERB
ijassa-157	83	31	=	=	NOUN
ijassa-157	83	32	x	x	SYM
ijassa-157	83	33	′x	′x	NOUN
ijassa-157	83	34	/	/	SYM
ijassa-157	83	35	n	n	CCONJ
ijassa-157	83	36	,	,	PUNCT
ijassa-157	83	37	(	(	PUNCT
ijassa-157	83	38	16	16	X
ijassa-157	83	39	)	)	PUNCT
ijassa-157	83	40	q̂1=	q̂1=	PROPN
ijassa-157	83	41	(	(	PUNCT
ijassa-157	83	42	x	x	NOUN
ijassa-157	83	43	′	′	ADP
ijassa-157	83	44	−	−	NUM
ijassa-157	83	45	ŝc′)(x	ŝc′)(x	PROPN
ijassa-157	83	46	′	′	NOUN
ijassa-157	84	1	−	−	PROPN
ijassa-157	84	2	ŝc′)′/n	ŝc′)′/n	ADV
ijassa-157	84	3	,	,	PUNCT
ijassa-157	84	4	(	(	PUNCT
ijassa-157	84	5	17	17	NUM
ijassa-157	84	6	)	)	PUNCT
ijassa-157	84	7	and	and	CCONJ
ijassa-157	84	8	ŝ=x	ŝ=x	PROPN
ijassa-157	84	9	′c	′c	PROPN
ijassa-157	84	10	/	/	SYM
ijassa-157	84	11	n	n	CCONJ
ijassa-157	84	12	(	(	PUNCT
ijassa-157	84	13	18	18	NUM
ijassa-157	84	14	)	)	PUNCT
ijassa-157	84	15	are	be	AUX
ijassa-157	84	16	the	the	DET
ijassa-157	84	17	well	well	ADV
ijassa-157	84	18	-	-	PUNCT
ijassa-157	84	19	known	know	VERB
ijassa-157	84	20	maximum	maximum	ADJ
ijassa-157	84	21	likelihood	likelihood	NOUN
ijassa-157	84	22	estimators	estimator	NOUN
ijassa-157	84	23	of	of	ADP
ijassa-157	84	24	the	the	DET
ijassa-157	84	25	unknown	unknown	ADJ
ijassa-157	84	26	parameters	parameter	NOUN
ijassa-157	84	27	q	q	PROPN
ijassa-157	84	28	and	and	CCONJ
ijassa-157	84	29	s	s	X
ijassa-157	84	30	under	under	ADP
ijassa-157	84	31	the	the	DET
ijassa-157	84	32	hypotheses	hypothesis	NOUN
ijassa-157	84	33	h0	h0	ADJ
ijassa-157	84	34	and	and	CCONJ
ijassa-157	84	35	h1	h1	PROPN
ijassa-157	84	36	,	,	PUNCT
ijassa-157	84	37	respectively	respectively	ADV
ijassa-157	84	38	.	.	PUNCT
ijassa-157	85	1	it	it	PRON
ijassa-157	85	2	can	can	AUX
ijassa-157	85	3	be	be	AUX
ijassa-157	85	4	shown	show	VERB
ijassa-157	85	5	,	,	PUNCT
ijassa-157	85	6	after	after	ADP
ijassa-157	85	7	some	some	DET
ijassa-157	85	8	algebra	algebra	NOUN
ijassa-157	85	9	,	,	PUNCT
ijassa-157	85	10	that	that	SCONJ
ijassa-157	85	11	(	(	PUNCT
ijassa-157	85	12	15	15	NUM
ijassa-157	85	13	)	)	PUNCT
ijassa-157	85	14	is	be	AUX
ijassa-157	85	15	equivalent	equivalent	ADJ
ijassa-157	85	16	finally	finally	ADV
ijassa-157	85	17	to	to	ADP
ijassa-157	85	18	the	the	DET
ijassa-157	85	19	statistic	statistic	NOUN
ijassa-157	85	20	y	y	PROPN
ijassa-157	85	21	=	=	SYM
ijassa-157	85	22	t	t	PROPN
ijassa-157	86	1	′	′	NUM
ijassa-157	86	2	1	1	NUM
ijassa-157	86	3	t	t	NOUN
ijassa-157	86	4	−1	−1	NOUN
ijassa-157	86	5	2	2	NUM
ijassa-157	86	6	t1	t1	NOUN
ijassa-157	86	7	/	/	SYM
ijassa-157	86	8	n	n	CCONJ
ijassa-157	86	9	,	,	PUNCT
ijassa-157	86	10	(	(	PUNCT
ijassa-157	86	11	19	19	NUM
ijassa-157	86	12	)	)	PUNCT
ijassa-157	86	13	where	where	SCONJ
ijassa-157	86	14	t1	t1	NOUN
ijassa-157	86	15	=	=	SYM
ijassa-157	86	16	x′c	x′c	PROPN
ijassa-157	86	17	,	,	PUNCT
ijassa-157	86	18	t2	t2	NOUN
ijassa-157	86	19	=	=	PUNCT
ijassa-157	87	1	x′x.it	x′x.it	PROPN
ijassa-157	87	2	is	be	AUX
ijassa-157	87	3	known	know	VERB
ijassa-157	87	4	that(t1,t2	that(t1,t2	NOUN
ijassa-157	87	5	)	)	PUNCT
ijassa-157	87	6	is	be	AUX
ijassa-157	87	7	a	a	DET
ijassa-157	87	8	complete	complete	ADJ
ijassa-157	87	9	sufficient	sufficient	ADJ
ijassa-157	87	10	statistic	statistic	NOUN
ijassa-157	87	11	for	for	ADP
ijassa-157	87	12	the	the	DET
ijassa-157	87	13	parameter	parameter	NOUN
ijassa-157	88	1	q	q	PROPN
ijassa-157	89	1	=	=	PUNCT
ijassa-157	89	2	(	(	PUNCT
ijassa-157	89	3	s	s	PROPN
ijassa-157	89	4	,	,	PUNCT
ijassa-157	89	5	q	q	NOUN
ijassa-157	89	6	)	)	PUNCT
ijassa-157	89	7	thus	thus	ADV
ijassa-157	89	8	,	,	PUNCT
ijassa-157	89	9	the	the	DET
ijassa-157	89	10	problem	problem	NOUN
ijassa-157	89	11	has	have	AUX
ijassa-157	89	12	been	be	AUX
ijassa-157	89	13	reduced	reduce	VERB
ijassa-157	89	14	to	to	ADP
ijassa-157	89	15	consideration	consideration	NOUN
ijassa-157	89	16	of	of	ADP
ijassa-157	89	17	the	the	DET
ijassa-157	89	18	sufficient	sufficient	ADJ
ijassa-157	89	19	statistic	statistic	NOUN
ijassa-157	89	20	(	(	PUNCT
ijassa-157	89	21	t1,t2	t1,t2	PROPN
ijassa-157	89	22	)	)	PUNCT
ijassa-157	89	23	.	.	PUNCT
ijassa-157	90	1	it	it	PRON
ijassa-157	90	2	can	can	AUX
ijassa-157	90	3	be	be	AUX
ijassa-157	90	4	shown	show	VERB
ijassa-157	90	5	that	that	SCONJ
ijassa-157	90	6	under	under	ADP
ijassa-157	90	7	h0	h0	NOUN
ijassa-157	90	8	,	,	PUNCT
ijassa-157	90	9	the	the	DET
ijassa-157	90	10	result	result	NOUN
ijassa-157	90	11	(	(	PUNCT
ijassa-157	90	12	19	19	NUM
ijassa-157	90	13	)	)	PUNCT
ijassa-157	90	14	is	be	AUX
ijassa-157	90	15	a	a	DET
ijassa-157	90	16	q	q	ADJ
ijassa-157	90	17	-	-	PUNCT
ijassa-157	90	18	free	free	ADJ
ijassa-157	90	19	statistic	statistic	NOUN
ijassa-157	90	20	y	y	PROPN
ijassa-157	90	21	which	which	PRON
ijassa-157	90	22	has	have	VERB
ijassa-157	90	23	the	the	DET
ijassa-157	90	24	property	property	NOUN
ijassa-157	90	25	that	that	PRON
ijassa-157	90	26	its	its	PRON
ijassa-157	90	27	distribution	distribution	NOUN
ijassa-157	90	28	does	do	AUX
ijassa-157	90	29	not	not	PART
ijassa-157	90	30	depend	depend	VERB
ijassa-157	90	31	on	on	ADP
ijassa-157	90	32	the	the	DET
ijassa-157	90	33	actual	actual	ADJ
ijassa-157	90	34	covariance	covariance	NOUN
ijassa-157	90	35	matrixq	matrixq	ADV
ijassa-157	90	36	.	.	PUNCT
ijassa-157	91	1	this	this	PRON
ijassa-157	91	2	is	be	AUX
ijassa-157	91	3	given	give	VERB
ijassa-157	91	4	by	by	ADP
ijassa-157	91	5	the	the	DET
ijassa-157	91	6	following	follow	VERB
ijassa-157	91	7	theorem	theorem	PROPN
ijassa-157	91	8	.	.	PUNCT
ijassa-157	91	9	theorem	theorem	ADJ
ijassa-157	91	10	2	2	NUM
ijassa-157	91	11	(	(	PUNCT
ijassa-157	91	12	pdf	pdf	NOUN
ijassa-157	91	13	of	of	ADP
ijassa-157	91	14	the	the	DET
ijassa-157	91	15	gmlr	gmlr	NOUN
ijassa-157	91	16	statistic	statistic	NOUN
ijassa-157	91	17	y	y	PROPN
ijassa-157	91	18	)	)	PUNCT
ijassa-157	91	19	.	.	PUNCT
ijassa-157	92	1	under	under	ADP
ijassa-157	92	2	h0	h0	PROPN
ijassa-157	92	3	,	,	PUNCT
ijassa-157	92	4	the	the	DET
ijassa-157	92	5	statistic	statistic	NOUN
ijassa-157	92	6	y	y	PROPN
ijassa-157	92	7	is	be	AUX
ijassa-157	92	8	subject	subject	ADJ
ijassa-157	92	9	to	to	ADP
ijassa-157	92	10	a	a	DET
ijassa-157	92	11	noncentral	noncentral	ADJ
ijassa-157	92	12	beta	beta	NOUN
ijassa-157	92	13	-	-	PUNCT
ijassa-157	92	14	distribution	distribution	NOUN
ijassa-157	92	15	with	with	ADP
ijassa-157	92	16	the	the	DET
ijassa-157	92	17	probability	probability	NOUN
ijassa-157	92	18	density	density	NOUN
ijassa-157	92	19	function	function	NOUN
ijassa-157	92	20	(	(	PUNCT
ijassa-157	92	21	pdf	pdf	NOUN
ijassa-157	92	22	)	)	PUNCT
ijassa-157	92	23	fh1(y;n	fh1(y;n	NOUN
ijassa-157	92	24	,	,	PUNCT
ijassa-157	92	25	q	q	NOUN
ijassa-157	92	26	)	)	PUNCT
ijassa-157	92	27	=	=	PUNCT
ijassa-157	92	28	[	[	PUNCT
ijassa-157	92	29	b	b	X
ijassa-157	92	30	(	(	PUNCT
ijassa-157	92	31	p	p	NOUN
ijassa-157	92	32	2	2	NUM
ijassa-157	92	33	,	,	PUNCT
ijassa-157	92	34	n−p	n−p	PROPN
ijassa-157	92	35	2	2	NUM
ijassa-157	92	36	)	)	PUNCT
ijassa-157	92	37	]	]	X
ijassa-157	92	38	−1	−1	NOUN
ijassa-157	92	39	y	y	NOUN
ijassa-157	92	40	(	(	PUNCT
ijassa-157	92	41	p	p	NOUN
ijassa-157	92	42	2	2	NUM
ijassa-157	92	43	)	)	PUNCT
ijassa-157	92	44	−1	−1	NOUN
ijassa-157	92	45	(	(	PUNCT
ijassa-157	92	46	1−	1−	NUM
ijassa-157	92	47	y	y	NOUN
ijassa-157	92	48	)	)	PUNCT
ijassa-157	92	49	(	(	PUNCT
ijassa-157	92	50	n−p	n−p	PROPN
ijassa-157	92	51	2	2	NUM
ijassa-157	92	52	)	)	PUNCT
ijassa-157	92	53	−1	−1	NOUN
ijassa-157	92	54	×e−q/2	×e−q/2	NOUN
ijassa-157	92	55	1f1	1f1	NUM
ijassa-157	92	56	(	(	PUNCT
ijassa-157	92	57	n	n	ADV
ijassa-157	92	58	2	2	NUM
ijassa-157	92	59	;	;	PUNCT
ijassa-157	92	60	p	p	PROPN
ijassa-157	92	61	2	2	NUM
ijassa-157	92	62	;	;	PUNCT
ijassa-157	92	63	qy	qy	NOUN
ijassa-157	92	64	2	2	NUM
ijassa-157	92	65	)	)	PUNCT
ijassa-157	92	66	,	,	PUNCT
ijassa-157	93	1	0	0	PUNCT
ijassa-157	93	2	<	<	X
ijassa-157	93	3	y	y	X
ijassa-157	93	4	<	<	X
ijassa-157	93	5	1	1	NUM
ijassa-157	93	6	,	,	PUNCT
ijassa-157	93	7	(	(	PUNCT
ijassa-157	93	8	20	20	NUM
ijassa-157	93	9	)	)	PUNCT
ijassa-157	93	10	where	where	SCONJ
ijassa-157	93	11	f1(a	f1(a	PROPN
ijassa-157	93	12	;	;	PUNCT
ijassa-157	93	13	b;x	b;x	PROPN
ijassa-157	93	14	)	)	PUNCT
ijassa-157	93	15	is	be	AUX
ijassa-157	93	16	the	the	DET
ijassa-157	93	17	confluent	confluent	ADJ
ijassa-157	93	18	hypergeometric	hypergeometric	ADJ
ijassa-157	93	19	function	function	NOUN
ijassa-157	94	1	[	[	X
ijassa-157	94	2	6	6	NUM
ijassa-157	94	3	]	]	PUNCT
ijassa-157	94	4	,	,	PUNCT
ijassa-157	94	5	q	q	NOUN
ijassa-157	94	6	=	=	SYM
ijassa-157	94	7	n	n	CCONJ
ijassa-157	94	8	(	(	PUNCT
ijassa-157	94	9	s′q−1s	s′q−1s	NOUN
ijassa-157	94	10	)	)	PUNCT
ijassa-157	94	11	(	(	PUNCT
ijassa-157	94	12	21	21	NUM
ijassa-157	94	13	)	)	PUNCT
ijassa-157	94	14	is	be	AUX
ijassa-157	94	15	a	a	DET
ijassa-157	94	16	noncentrality	noncentrality	NOUN
ijassa-157	94	17	parameter	parameter	NOUN
ijassa-157	94	18	representing	represent	VERB
ijassa-157	94	19	the	the	DET
ijassa-157	94	20	generalized	generalized	ADJ
ijassa-157	94	21	signal	signal	NOUN
ijassa-157	94	22	-	-	PUNCT
ijassa-157	94	23	to	to	ADP
ijassa-157	94	24	-	-	PUNCT
ijassa-157	94	25	noise	noise	NOUN
ijassa-157	94	26	ratio	ratio	NOUN
ijassa-157	94	27	(	(	PUNCT
ijassa-157	94	28	gsnr	gsnr	PROPN
ijassa-157	94	29	)	)	PUNCT
ijassa-157	94	30	.	.	PUNCT
ijassa-157	95	1	under	under	ADP
ijassa-157	95	2	h0	h0	PROPN
ijassa-157	95	3	,	,	PUNCT
ijassa-157	95	4	when	when	SCONJ
ijassa-157	95	5	q	q	PROPN
ijassa-157	95	6	=	=	SYM
ijassa-157	95	7	0	0	NUM
ijassa-157	95	8	,	,	PUNCT
ijassa-157	95	9	(	(	PUNCT
ijassa-157	95	10	20	20	NUM
ijassa-157	95	11	)	)	PUNCT
ijassa-157	95	12	reduces	reduce	VERB
ijassa-157	95	13	to	to	ADP
ijassa-157	95	14	a	a	DET
ijassa-157	95	15	standard	standard	ADJ
ijassa-157	95	16	beta	beta	NOUN
ijassa-157	95	17	-	-	PUNCT
ijassa-157	95	18	function	function	NOUN
ijassa-157	95	19	density	density	NOUN
ijassa-157	95	20	of	of	ADP
ijassa-157	95	21	the	the	DET
ijassa-157	95	22	form	form	NOUN
ijassa-157	95	23	fh0(y;n	fh0(y;n	NOUN
ijassa-157	95	24	)	)	PUNCT
ijassa-157	96	1	=	=	PUNCT
ijassa-157	96	2	[	[	PUNCT
ijassa-157	96	3	b	b	X
ijassa-157	96	4	(	(	PUNCT
ijassa-157	96	5	p	p	NOUN
ijassa-157	96	6	2	2	NUM
ijassa-157	96	7	,	,	PUNCT
ijassa-157	96	8	n−	n−	NOUN
ijassa-157	96	9	p	p	NOUN
ijassa-157	96	10	2	2	NUM
ijassa-157	96	11	)	)	PUNCT
ijassa-157	96	12	]	]	X
ijassa-157	96	13	−1	−1	NOUN
ijassa-157	96	14	y	y	PROPN
ijassa-157	96	15	(	(	PUNCT
ijassa-157	96	16	p2	p2	PROPN
ijassa-157	96	17	)	)	PUNCT
ijassa-157	96	18	−1	−1	NOUN
ijassa-157	96	19	(	(	PUNCT
ijassa-157	96	20	1−	1−	NUM
ijassa-157	96	21	y	y	NOUN
ijassa-157	96	22	)	)	PUNCT
ijassa-157	96	23	(	(	PUNCT
ijassa-157	96	24	n−p	n−p	PROPN
ijassa-157	96	25	2	2	NUM
ijassa-157	96	26	)	)	PUNCT
ijassa-157	96	27	−1	−1	NOUN
ijassa-157	96	28	,	,	PUNCT
ijassa-157	96	29	0	0	PUNCT
ijassa-157	97	1	<	<	X
ijassa-157	97	2	y	y	X
ijassa-157	97	3	<	<	X
ijassa-157	97	4	1	1	NUM
ijassa-157	97	5	.	.	PUNCT
ijassa-157	98	1	(	(	PUNCT
ijassa-157	98	2	22	22	NUM
ijassa-157	98	3	)	)	PUNCT
ijassa-157	98	4	proof	proof	NOUN
ijassa-157	98	5	.	.	PUNCT
ijassa-157	99	1	the	the	DET
ijassa-157	99	2	proof	proof	NOUN
ijassa-157	99	3	is	be	AUX
ijassa-157	99	4	given	give	VERB
ijassa-157	99	5	by	by	ADP
ijassa-157	99	6	nechval	nechval	NOUN
ijassa-157	100	1	[	[	X
ijassa-157	100	2	7	7	X
ijassa-157	100	3	]	]	PUNCT
ijassa-157	100	4	and	and	CCONJ
ijassa-157	100	5	so	so	ADV
ijassa-157	100	6	it	it	PRON
ijassa-157	100	7	is	be	AUX
ijassa-157	100	8	omitted	omit	VERB
ijassa-157	100	9	here	here	ADV
ijassa-157	100	10	.	.	PUNCT
ijassa-157	101	1	it	it	PRON
ijassa-157	101	2	is	be	AUX
ijassa-157	101	3	clear	clear	ADJ
ijassa-157	101	4	that	that	SCONJ
ijassa-157	101	5	the	the	DET
ijassa-157	101	6	statistic	statistic	NOUN
ijassa-157	101	7	y	y	PROPN
ijassa-157	101	8	is	be	AUX
ijassa-157	101	9	equivalent	equivalent	ADJ
ijassa-157	101	10	to	to	ADP
ijassa-157	101	11	the	the	DET
ijassa-157	101	12	statistic	statistic	NOUN
ijassa-157	101	13	v	v	NOUN
ijassa-157	101	14	=	=	SYM
ijassa-157	102	1	[	[	X
ijassa-157	102	2	(	(	PUNCT
ijassa-157	102	3	n−	n−	PROPN
ijassa-157	102	4	p)/p	p)/p	NOUN
ijassa-157	102	5	]	]	PUNCT
ijassa-157	102	6	y/(1−	y/(1−	PROPN
ijassa-157	102	7	y	y	PROPN
ijassa-157	102	8	)	)	PUNCT
ijassa-157	102	9	=	=	PUNCT
ijassa-157	103	1	[	[	X
ijassa-157	103	2	n(n−	n(n−	PRON
ijassa-157	103	3	p)/p	p)/p	NOUN
ijassa-157	103	4	]	]	X
ijassa-157	103	5	(	(	PUNCT
ijassa-157	103	6	ŝ′	ŝ′	PROPN
ijassa-157	103	7	[	[	PUNCT
ijassa-157	103	8	ĝ1	ĝ1	X
ijassa-157	103	9	]	]	X
ijassa-157	103	10	−1	−1	NOUN
ijassa-157	103	11	ŝ	ŝ	NOUN
ijassa-157	103	12	)	)	PUNCT
ijassa-157	103	13	,	,	PUNCT
ijassa-157	103	14	(	(	PUNCT
ijassa-157	103	15	23	23	NUM
ijassa-157	103	16	)	)	PUNCT
ijassa-157	103	17	134	134	NUM
ijassa-157	103	18	konstantin	konstantin	PROPN
ijassa-157	103	19	n.	n.	PROPN
ijassa-157	103	20	nechval	nechval	PROPN
ijassa-157	103	21	:	:	PUNCT
ijassa-157	103	22	adaptive	adaptive	ADJ
ijassa-157	103	23	cfar	cfar	NOUN
ijassa-157	103	24	tests	test	NOUN
ijassa-157	103	25	for	for	ADP
ijassa-157	103	26	detection	detection	NOUN
ijassa-157	103	27	and	and	CCONJ
ijassa-157	103	28	recognition	recognition	NOUN
ijassa-157	103	29	of	of	ADP
ijassa-157	103	30	target	target	NOUN
ijassa-157	103	31	...	...	PUNCT
ijassa-157	103	32	where	where	SCONJ
ijassa-157	103	33	ĝ1	ĝ1	PROPN
ijassa-157	103	34	=	=	PUNCT
ijassa-157	103	35	nq̂1	nq̂1	PROPN
ijassa-157	103	36	=	=	PRON
ijassa-157	104	1	(	(	PUNCT
ijassa-157	104	2	x	x	NOUN
ijassa-157	104	3	′	′	NOUN
ijassa-157	104	4	−	−	NUM
ijassa-157	105	1	ŝc′)(x	ŝc′)(x	NOUN
ijassa-157	105	2	′	′	NOUN
ijassa-157	105	3	−	−	PROPN
ijassa-157	106	1	ŝc′)′	ŝc′)′	ADJ
ijassa-157	106	2	=	=	SYM
ijassa-157	106	3	n∑	n∑	NOUN
ijassa-157	106	4	i=1	i=1	PROPN
ijassa-157	107	1	(	(	PUNCT
ijassa-157	107	2	xi	xi	ADP
ijassa-157	107	3	−	−	PROPN
ijassa-157	108	1	ŝ)(xi	ŝ)(xi	PROPN
ijassa-157	108	2	−	−	PROPN
ijassa-157	108	3	ŝ)′.	ŝ)′.	PROPN
ijassa-157	108	4	(	(	PUNCT
ijassa-157	108	5	24	24	NUM
ijassa-157	108	6	)	)	PUNCT
ijassa-157	108	7	here	here	ADV
ijassa-157	108	8	the	the	DET
ijassa-157	108	9	following	follow	VERB
ijassa-157	108	10	theorem	theorem	NOUN
ijassa-157	108	11	clearly	clearly	ADV
ijassa-157	108	12	holds	hold	VERB
ijassa-157	108	13	.	.	PUNCT
ijassa-157	109	1	theorem	theorem	ADJ
ijassa-157	109	2	3	3	NUM
ijassa-157	109	3	(	(	PUNCT
ijassa-157	109	4	pdf	pdf	NOUN
ijassa-157	109	5	of	of	ADP
ijassa-157	109	6	the	the	DET
ijassa-157	109	7	gmlr	gmlr	NOUN
ijassa-157	109	8	statistic	statistic	NOUN
ijassa-157	109	9	v	v	NOUN
ijassa-157	109	10	)	)	PUNCT
ijassa-157	109	11	.	.	PUNCT
ijassa-157	110	1	under	under	ADP
ijassa-157	110	2	h1	h1	PROPN
ijassa-157	110	3	,	,	PUNCT
ijassa-157	110	4	the	the	DET
ijassa-157	110	5	statistic	statistic	NOUN
ijassa-157	110	6	v	v	NOUN
ijassa-157	110	7	is	be	AUX
ijassa-157	110	8	subject	subject	ADJ
ijassa-157	110	9	to	to	ADP
ijassa-157	110	10	a	a	DET
ijassa-157	110	11	noncentral	noncentral	ADJ
ijassa-157	110	12	f	f	PROPN
ijassa-157	110	13	-distribution	-distribution	NOUN
ijassa-157	110	14	with	with	ADP
ijassa-157	110	15	p	p	NOUN
ijassa-157	110	16	and	and	CCONJ
ijassa-157	110	17	n−p	n−p	PROPN
ijassa-157	110	18	degrees	degree	NOUN
ijassa-157	110	19	of	of	ADP
ijassa-157	110	20	freedom	freedom	NOUN
ijassa-157	110	21	,	,	PUNCT
ijassa-157	110	22	the	the	DET
ijassa-157	110	23	probability	probability	NOUN
ijassa-157	110	24	density	density	NOUN
ijassa-157	110	25	function	function	NOUN
ijassa-157	110	26	of	of	ADP
ijassa-157	110	27	which	which	PRON
ijassa-157	110	28	is	be	AUX
ijassa-157	110	29	fh1(v;n	fh1(v;n	NOUN
ijassa-157	110	30	,	,	PUNCT
ijassa-157	110	31	q	q	X
ijassa-157	110	32	)	)	PUNCT
ijassa-157	110	33	=	=	PUNCT
ijassa-157	111	1	[	[	PUNCT
ijassa-157	111	2	b	b	X
ijassa-157	111	3	(	(	PUNCT
ijassa-157	111	4	p	p	NOUN
ijassa-157	111	5	2	2	NUM
ijassa-157	111	6	,	,	PUNCT
ijassa-157	111	7	n−	n−	NOUN
ijassa-157	111	8	p	p	NOUN
ijassa-157	111	9	2	2	NUM
ijassa-157	111	10	)	)	PUNCT
ijassa-157	111	11	]	]	X
ijassa-157	111	12	−1	−1	NOUN
ijassa-157	111	13	(	(	PUNCT
ijassa-157	111	14	p	p	NOUN
ijassa-157	111	15	n−p	n−p	NOUN
ijassa-157	111	16	)	)	PUNCT
ijassa-157	111	17	p/2	p/2	NOUN
ijassa-157	111	18	vp/2−1	vp/2−1	NOUN
ijassa-157	111	19	(	(	PUNCT
ijassa-157	111	20	1	1	NUM
ijassa-157	111	21	+	+	CCONJ
ijassa-157	111	22	p	p	ADJ
ijassa-157	111	23	n−pv	n−pv	NOUN
ijassa-157	111	24	)	)	PUNCT
ijassa-157	111	25	n/2	n/2	PART
ijassa-157	111	26	×	×	NOUN
ijassa-157	111	27	e−q/2	e−q/2	NOUN
ijassa-157	111	28	1f1	1f1	NUM
ijassa-157	111	29	(	(	PUNCT
ijassa-157	111	30	n	n	ADV
ijassa-157	111	31	2	2	NUM
ijassa-157	111	32	;	;	PUNCT
ijassa-157	111	33	p	p	NOUN
ijassa-157	111	34	2	2	NUM
ijassa-157	111	35	;	;	PUNCT
ijassa-157	111	36	q	q	X
ijassa-157	111	37	2	2	NUM
ijassa-157	111	38	(	(	PUNCT
ijassa-157	111	39	p	p	PROPN
ijassa-157	111	40	n−	n−	PROPN
ijassa-157	111	41	p	p	NOUN
ijassa-157	111	42	v	v	X
ijassa-157	111	43	(	(	PUNCT
ijassa-157	111	44	1	1	NUM
ijassa-157	111	45	+	+	CCONJ
ijassa-157	111	46	p	p	PROPN
ijassa-157	111	47	n−	n−	PROPN
ijassa-157	111	48	p	p	NOUN
ijassa-157	111	49	v	v	NOUN
ijassa-157	111	50	)	)	PUNCT
ijassa-157	111	51	−1	−1	NOUN
ijassa-157	111	52	)	)	PUNCT
ijassa-157	111	53	)	)	PUNCT
ijassa-157	111	54	,	,	PUNCT
ijassa-157	111	55	0	0	NUM
ijassa-157	111	56	<	<	X
ijassa-157	111	57	v	v	X
ijassa-157	111	58	<	<	X
ijassa-157	111	59	∞	∞	PROPN
ijassa-157	111	60	,	,	PUNCT
ijassa-157	111	61	(	(	PUNCT
ijassa-157	111	62	25	25	NUM
ijassa-157	111	63	)	)	PUNCT
ijassa-157	111	64	where	where	SCONJ
ijassa-157	111	65	q	q	NOUN
ijassa-157	111	66	is	be	AUX
ijassa-157	111	67	a	a	DET
ijassa-157	111	68	noncentrality	noncentrality	NOUN
ijassa-157	111	69	parameter	parameter	NOUN
ijassa-157	111	70	given	give	VERB
ijassa-157	111	71	by	by	ADP
ijassa-157	111	72	(	(	PUNCT
ijassa-157	111	73	21	21	NUM
ijassa-157	111	74	)	)	PUNCT
ijassa-157	111	75	.	.	PUNCT
ijassa-157	112	1	under	under	ADP
ijassa-157	112	2	h0	h0	PROPN
ijassa-157	112	3	,	,	PUNCT
ijassa-157	112	4	when	when	SCONJ
ijassa-157	112	5	q	q	PROPN
ijassa-157	112	6	=	=	SYM
ijassa-157	112	7	0	0	NUM
ijassa-157	112	8	,	,	PUNCT
ijassa-157	112	9	(	(	PUNCT
ijassa-157	112	10	25	25	NUM
ijassa-157	112	11	)	)	PUNCT
ijassa-157	112	12	reduces	reduce	VERB
ijassa-157	112	13	to	to	ADP
ijassa-157	112	14	a	a	DET
ijassa-157	112	15	standard	standard	ADJ
ijassa-157	112	16	f	f	NOUN
ijassa-157	112	17	-distribution	-distribution	NOUN
ijassa-157	112	18	with	with	ADP
ijassa-157	112	19	p	p	NOUN
ijassa-157	112	20	and	and	CCONJ
ijassa-157	112	21	n−	n−	PROPN
ijassa-157	112	22	p	p	NOUN
ijassa-157	112	23	degrees	degree	NOUN
ijassa-157	112	24	of	of	ADP
ijassa-157	112	25	freedom	freedom	NOUN
ijassa-157	112	26	,	,	PUNCT
ijassa-157	112	27	fh0(v;n	fh0(v;n	NOUN
ijassa-157	112	28	)	)	PUNCT
ijassa-157	113	1	=	=	PUNCT
ijassa-157	113	2	[	[	PUNCT
ijassa-157	113	3	b	b	X
ijassa-157	113	4	(	(	PUNCT
ijassa-157	113	5	p	p	NOUN
ijassa-157	113	6	2	2	NUM
ijassa-157	113	7	,	,	PUNCT
ijassa-157	113	8	n−p	n−p	PROPN
ijassa-157	113	9	2	2	NUM
ijassa-157	113	10	)	)	PUNCT
ijassa-157	113	11	]	]	X
ijassa-157	113	12	−1	−1	NOUN
ijassa-157	113	13	(	(	PUNCT
ijassa-157	113	14	p	p	NOUN
ijassa-157	113	15	n−p	n−p	NOUN
ijassa-157	113	16	)	)	PUNCT
ijassa-157	113	17	p/2	p/2	NOUN
ijassa-157	113	18	vp/2−1	vp/2−1	NOUN
ijassa-157	113	19	(	(	PUNCT
ijassa-157	113	20	1	1	NUM
ijassa-157	113	21	+	+	CCONJ
ijassa-157	113	22	p	p	ADJ
ijassa-157	113	23	n−pv	n−pv	NOUN
ijassa-157	113	24	)	)	PUNCT
ijassa-157	113	25	n/2	n/2	NOUN
ijassa-157	113	26	,	,	PUNCT
ijassa-157	113	27	0	0	NUM
ijassa-157	113	28	<	<	X
ijassa-157	113	29	v	v	X
ijassa-157	113	30	<	<	X
ijassa-157	113	31	∞	∞	PROPN
ijassa-157	113	32	,	,	PUNCT
ijassa-157	113	33	(	(	PUNCT
ijassa-157	113	34	26	26	NUM
ijassa-157	113	35	)	)	PUNCT
ijassa-157	113	36	proof	proof	NOUN
ijassa-157	113	37	.	.	PUNCT
ijassa-157	114	1	the	the	DET
ijassa-157	114	2	proof	proof	NOUN
ijassa-157	114	3	follows	follow	VERB
ijassa-157	114	4	by	by	ADP
ijassa-157	114	5	applying	apply	VERB
ijassa-157	114	6	theorem	theorem	ADJ
ijassa-157	114	7	2	2	NUM
ijassa-157	114	8	and	and	CCONJ
ijassa-157	114	9	being	be	AUX
ijassa-157	114	10	straightforward	straightforward	ADJ
ijassa-157	114	11	it	it	PRON
ijassa-157	114	12	is	be	AUX
ijassa-157	114	13	omitted	omit	VERB
ijassa-157	114	14	.	.	PUNCT
ijassa-157	115	1	2.3	2.3	NUM
ijassa-157	115	2	test	test	NOUN
ijassa-157	115	3	for	for	ADP
ijassa-157	115	4	signal	signal	ADJ
ijassa-157	115	5	detection	detection	NOUN
ijassa-157	115	6	based	base	VERB
ijassa-157	115	7	on	on	ADP
ijassa-157	115	8	the	the	DET
ijassa-157	115	9	gmlr	gmlr	NOUN
ijassa-157	115	10	statistic	statistic	NOUN
ijassa-157	115	11	the	the	DET
ijassa-157	115	12	test	test	NOUN
ijassa-157	115	13	of	of	ADP
ijassa-157	115	14	h0	h0	PROPN
ijassa-157	115	15	versus	versus	ADP
ijassa-157	115	16	h1	h1	PROPN
ijassa-157	115	17	,	,	PUNCT
ijassa-157	115	18	based	base	VERB
ijassa-157	115	19	on	on	ADP
ijassa-157	115	20	the	the	DET
ijassa-157	115	21	gmlr	gmlr	NOUN
ijassa-157	115	22	statistic	statistic	NOUN
ijassa-157	115	23	v	v	NOUN
ijassa-157	115	24	,	,	PUNCT
ijassa-157	115	25	is	be	AUX
ijassa-157	115	26	given	give	VERB
ijassa-157	115	27	by	by	ADP
ijassa-157	115	28	v	v	NOUN
ijassa-157	115	29	{	{	PUNCT
ijassa-157	115	30	>	>	X
ijassa-157	115	31	h	h	NOUN
ijassa-157	115	32	,	,	PUNCT
ijassa-157	115	33	then	then	ADV
ijassa-157	115	34	h1	h1	PROPN
ijassa-157	115	35	(	(	PUNCT
ijassa-157	115	36	signalpresent	signalpresent	NOUN
ijassa-157	115	37	)	)	PUNCT
ijassa-157	115	38	,	,	PUNCT
ijassa-157	115	39	≤	≤	NUM
ijassa-157	115	40	h	h	NOUN
ijassa-157	115	41	,	,	PUNCT
ijassa-157	115	42	then	then	ADV
ijassa-157	115	43	h0	h0	PROPN
ijassa-157	115	44	(	(	PUNCT
ijassa-157	115	45	clutteralone	clutteralone	PROPN
ijassa-157	115	46	)	)	PUNCT
ijassa-157	115	47	,	,	PUNCT
ijassa-157	115	48	(	(	PUNCT
ijassa-157	115	49	27	27	NUM
ijassa-157	115	50	)	)	PUNCT
ijassa-157	115	51	and	and	CCONJ
ijassa-157	115	52	can	can	AUX
ijassa-157	115	53	be	be	AUX
ijassa-157	115	54	written	write	VERB
ijassa-157	115	55	in	in	ADP
ijassa-157	115	56	the	the	DET
ijassa-157	115	57	form	form	NOUN
ijassa-157	115	58	of	of	ADP
ijassa-157	115	59	a	a	DET
ijassa-157	115	60	decision	decision	NOUN
ijassa-157	115	61	rule	rule	NOUN
ijassa-157	115	62	u(v	u(v	PROPN
ijassa-157	115	63	)	)	PUNCT
ijassa-157	115	64	over	over	ADP
ijassa-157	115	65	{	{	PUNCT
ijassa-157	115	66	v	v	NOUN
ijassa-157	115	67	:	:	PUNCT
ijassa-157	115	68	v	v	NUM
ijassa-157	115	69	∈	∈	PROPN
ijassa-157	115	70	(	(	PUNCT
ijassa-157	115	71	0,∞	0,∞	NOUN
ijassa-157	115	72	)	)	PUNCT
ijassa-157	115	73	}	}	PUNCT
ijassa-157	115	74	,	,	PUNCT
ijassa-157	115	75	u(v	u(v	PROPN
ijassa-157	115	76	)	)	PUNCT
ijassa-157	115	77	=	=	PRON
ijassa-157	115	78	{	{	PUNCT
ijassa-157	115	79	1	1	NUM
ijassa-157	115	80	,	,	PUNCT
ijassa-157	115	81	v	v	ADP
ijassa-157	115	82	>	>	X
ijassa-157	115	83	h	h	PROPN
ijassa-157	115	84	(	(	PUNCT
ijassa-157	115	85	h1	h1	PROPN
ijassa-157	115	86	)	)	PUNCT
ijassa-157	115	87	,	,	PUNCT
ijassa-157	115	88	0	0	NUM
ijassa-157	115	89	,	,	PUNCT
ijassa-157	115	90	v	v	ADJ
ijassa-157	115	91	≤	≤	NUM
ijassa-157	115	92	h	h	NOUN
ijassa-157	115	93	(	(	PUNCT
ijassa-157	115	94	h0	h0	PROPN
ijassa-157	115	95	)	)	PUNCT
ijassa-157	115	96	,	,	PUNCT
ijassa-157	115	97	(	(	PUNCT
ijassa-157	115	98	28	28	NUM
ijassa-157	115	99	)	)	PUNCT
ijassa-157	115	100	where	where	SCONJ
ijassa-157	115	101	h	h	NOUN
ijassa-157	115	102	>	>	X
ijassa-157	115	103	0	0	PUNCT
ijassa-157	115	104	is	be	AUX
ijassa-157	115	105	a	a	DET
ijassa-157	115	106	threshold	threshold	NOUN
ijassa-157	115	107	of	of	ADP
ijassa-157	115	108	the	the	DET
ijassa-157	115	109	test	test	NOUN
ijassa-157	115	110	which	which	PRON
ijassa-157	115	111	is	be	AUX
ijassa-157	115	112	uniquely	uniquely	ADV
ijassa-157	115	113	determined	determined	ADJ
ijassa-157	115	114	for	for	ADP
ijassa-157	115	115	a	a	DET
ijassa-157	115	116	prescribed	prescribed	ADJ
ijassa-157	115	117	level	level	NOUN
ijassa-157	115	118	of	of	ADP
ijassa-157	115	119	significance	significance	NOUN
ijassa-157	115	120	α	α	PRON
ijassa-157	115	121	so	so	SCONJ
ijassa-157	115	122	that	that	SCONJ
ijassa-157	115	123	sup	sup	NOUN
ijassa-157	115	124	θ∈θ0	θ∈θ0	PRON
ijassa-157	115	125	eθ	eθ	PRON
ijassa-157	115	126	{	{	PUNCT
ijassa-157	115	127	u(v	u(v	PROPN
ijassa-157	115	128	)	)	PUNCT
ijassa-157	115	129	}	}	PUNCT
ijassa-157	116	1	=	=	SYM
ijassa-157	116	2	α	α	X
ijassa-157	116	3	.	.	PUNCT
ijassa-157	117	1	(	(	PUNCT
ijassa-157	117	2	29	29	NUM
ijassa-157	117	3	)	)	PUNCT
ijassa-157	117	4	advances	advance	NOUN
ijassa-157	117	5	in	in	ADP
ijassa-157	117	6	systems	system	NOUN
ijassa-157	117	7	science	science	NOUN
ijassa-157	117	8	and	and	CCONJ
ijassa-157	117	9	applications	application	NOUN
ijassa-157	117	10	(	(	PUNCT
ijassa-157	117	11	2014	2014	NUM
ijassa-157	117	12	)	)	PUNCT
ijassa-157	117	13	vol.14	vol.14	NOUN
ijassa-157	117	14	no.2	no.2	PROPN
ijassa-157	117	15	135	135	NUM
ijassa-157	117	16	for	for	ADP
ijassa-157	117	17	fixed	fixed	ADJ
ijassa-157	117	18	n	n	CCONJ
ijassa-157	117	19	,	,	PUNCT
ijassa-157	117	20	in	in	ADP
ijassa-157	117	21	terms	term	NOUN
ijassa-157	117	22	of	of	ADP
ijassa-157	117	23	the	the	DET
ijassa-157	117	24	probability	probability	NOUN
ijassa-157	117	25	density	density	NOUN
ijassa-157	117	26	function	function	NOUN
ijassa-157	117	27	(	(	PUNCT
ijassa-157	117	28	26	26	NUM
ijassa-157	117	29	)	)	PUNCT
ijassa-157	117	30	,	,	PUNCT
ijassa-157	117	31	tables	table	NOUN
ijassa-157	117	32	of	of	ADP
ijassa-157	117	33	the	the	DET
ijassa-157	117	34	central	central	ADJ
ijassa-157	117	35	f	f	PROPN
ijassa-157	117	36	-distribution	-distribution	NOUN
ijassa-157	117	37	permit	permit	NOUN
ijassa-157	117	38	one	one	NOUN
ijassa-157	117	39	to	to	PART
ijassa-157	117	40	choose	choose	VERB
ijassa-157	117	41	h	h	NOUN
ijassa-157	117	42	to	to	PART
ijassa-157	117	43	achieve	achieve	VERB
ijassa-157	117	44	the	the	DET
ijassa-157	117	45	desired	desire	VERB
ijassa-157	117	46	test	test	NOUN
ijassa-157	117	47	size	size	NOUN
ijassa-157	117	48	(	(	PUNCT
ijassa-157	117	49	false	false	ADJ
ijassa-157	117	50	alarm	alarm	NOUN
ijassa-157	117	51	probability	probability	NOUN
ijassa-157	117	52	pfa	pfa	NOUN
ijassa-157	117	53	)	)	PUNCT
ijassa-157	117	54	,	,	PUNCT
ijassa-157	117	55	pfa	pfa	NOUN
ijassa-157	118	1	=	=	NOUN
ijassa-157	118	2	α	α	PROPN
ijassa-157	118	3	=	=	PUNCT
ijassa-157	118	4	∞∫	∞∫	PROPN
ijassa-157	118	5	h	h	NOUN
ijassa-157	118	6	fh0(v;n)dv	fh0(v;n)dv	PROPN
ijassa-157	118	7	.	.	PUNCT
ijassa-157	119	1	(	(	PUNCT
ijassa-157	119	2	30	30	NUM
ijassa-157	119	3	)	)	PUNCT
ijassa-157	119	4	furthermore	furthermore	ADV
ijassa-157	119	5	,	,	PUNCT
ijassa-157	119	6	once	once	SCONJ
ijassa-157	119	7	h	h	NOUN
ijassa-157	119	8	is	be	AUX
ijassa-157	119	9	chosen	choose	VERB
ijassa-157	119	10	,	,	PUNCT
ijassa-157	119	11	tables	table	NOUN
ijassa-157	119	12	of	of	ADP
ijassa-157	119	13	the	the	DET
ijassa-157	119	14	noncentral	noncentral	ADJ
ijassa-157	119	15	f	f	PROPN
ijassa-157	119	16	-distribution	-distribution	PROPN
ijassa-157	119	17	permit	permit	NOUN
ijassa-157	119	18	one	one	NOUN
ijassa-157	119	19	to	to	PART
ijassa-157	119	20	evaluate	evaluate	VERB
ijassa-157	119	21	,	,	PUNCT
ijassa-157	119	22	in	in	ADP
ijassa-157	119	23	terms	term	NOUN
ijassa-157	119	24	of	of	ADP
ijassa-157	119	25	the	the	DET
ijassa-157	119	26	probability	probability	NOUN
ijassa-157	119	27	density	density	NOUN
ijassa-157	119	28	function	function	NOUN
ijassa-157	119	29	(	(	PUNCT
ijassa-157	119	30	25	25	NUM
ijassa-157	119	31	)	)	PUNCT
ijassa-157	119	32	,	,	PUNCT
ijassa-157	119	33	the	the	DET
ijassa-157	119	34	power	power	NOUN
ijassa-157	119	35	(	(	PUNCT
ijassa-157	119	36	detection	detection	NOUN
ijassa-157	119	37	probability	probability	NOUN
ijassa-157	119	38	pd	pd	PROPN
ijassa-157	119	39	)	)	PUNCT
ijassa-157	119	40	of	of	ADP
ijassa-157	119	41	the	the	DET
ijassa-157	119	42	test	test	NOUN
ijassa-157	119	43	,	,	PUNCT
ijassa-157	119	44	pd	pd	PROPN
ijassa-157	119	45	=	=	PROPN
ijassa-157	119	46	γ=	γ=	PROPN
ijassa-157	119	47	∞∫	∞∫	PROPN
ijassa-157	119	48	h	h	PROPN
ijassa-157	119	49	fh1(v;n	fh1(v;n	NOUN
ijassa-157	119	50	,	,	PUNCT
ijassa-157	119	51	q)dv	q)dv	PROPN
ijassa-157	119	52	.	.	PUNCT
ijassa-157	120	1	(	(	PUNCT
ijassa-157	120	2	31	31	NUM
ijassa-157	120	3	)	)	PUNCT
ijassa-157	120	4	the	the	DET
ijassa-157	120	5	probability	probability	NOUN
ijassa-157	120	6	of	of	ADP
ijassa-157	120	7	a	a	DET
ijassa-157	120	8	miss	miss	NOUN
ijassa-157	120	9	is	be	AUX
ijassa-157	120	10	given	give	VERB
ijassa-157	120	11	by	by	ADP
ijassa-157	120	12	β	β	X
ijassa-157	120	13	=	=	SYM
ijassa-157	120	14	1−	1−	NUM
ijassa-157	120	15	γ	γ	X
ijassa-157	120	16	.	.	PUNCT
ijassa-157	121	1	(	(	PUNCT
ijassa-157	121	2	32	32	NUM
ijassa-157	121	3	)	)	PUNCT
ijassa-157	121	4	it	it	PRON
ijassa-157	121	5	follows	follow	VERB
ijassa-157	121	6	from	from	ADP
ijassa-157	121	7	(	(	PUNCT
ijassa-157	121	8	30	30	NUM
ijassa-157	121	9	)	)	PUNCT
ijassa-157	121	10	that	that	SCONJ
ijassa-157	121	11	the	the	DET
ijassa-157	121	12	gmlr	gmlr	NOUN
ijassa-157	121	13	test	test	NOUN
ijassa-157	121	14	is	be	AUX
ijassa-157	121	15	invariant	invariant	ADJ
ijassa-157	121	16	to	to	ADP
ijassa-157	121	17	intensity	intensity	NOUN
ijassa-157	121	18	changes	change	NOUN
ijassa-157	121	19	in	in	ADP
ijassa-157	121	20	the	the	DET
ijassa-157	121	21	clutter	clutter	NOUN
ijassa-157	121	22	background	background	NOUN
ijassa-157	121	23	and	and	CCONJ
ijassa-157	121	24	achieves	achieve	VERB
ijassa-157	121	25	a	a	DET
ijassa-157	121	26	fixed	fix	VERB
ijassa-157	121	27	probability	probability	NOUN
ijassa-157	121	28	of	of	ADP
ijassa-157	121	29	a	a	DET
ijassa-157	121	30	false	false	ADJ
ijassa-157	121	31	alarm	alarm	NOUN
ijassa-157	121	32	,	,	PUNCT
ijassa-157	121	33	i.e.	i.e.	X
ijassa-157	121	34	the	the	DET
ijassa-157	121	35	resulting	result	VERB
ijassa-157	121	36	analyses	analysis	NOUN
ijassa-157	121	37	indicate	indicate	VERB
ijassa-157	121	38	that	that	SCONJ
ijassa-157	121	39	the	the	DET
ijassa-157	121	40	test	test	NOUN
ijassa-157	121	41	has	have	VERB
ijassa-157	121	42	the	the	DET
ijassa-157	121	43	property	property	NOUN
ijassa-157	121	44	of	of	ADP
ijassa-157	121	45	a	a	DET
ijassa-157	121	46	constant	constant	ADJ
ijassa-157	121	47	false	false	ADJ
ijassa-157	121	48	alarm	alarm	NOUN
ijassa-157	121	49	rate	rate	NOUN
ijassa-157	121	50	(	(	PUNCT
ijassa-157	121	51	cfar	cfar	ADV
ijassa-157	121	52	)	)	PUNCT
ijassa-157	121	53	.	.	PUNCT
ijassa-157	122	1	also	also	ADV
ijassa-157	122	2	,	,	PUNCT
ijassa-157	122	3	no	no	DET
ijassa-157	122	4	learning	learning	NOUN
ijassa-157	122	5	process	process	NOUN
ijassa-157	122	6	is	be	AUX
ijassa-157	122	7	necessary	necessary	ADJ
ijassa-157	122	8	in	in	ADP
ijassa-157	122	9	order	order	NOUN
ijassa-157	122	10	to	to	PART
ijassa-157	122	11	achieve	achieve	VERB
ijassa-157	122	12	the	the	DET
ijassa-157	122	13	cfar	cfar	NOUN
ijassa-157	122	14	.	.	PUNCT
ijassa-157	123	1	thus	thus	ADV
ijassa-157	123	2	,	,	PUNCT
ijassa-157	123	3	operating	operate	VERB
ijassa-157	123	4	in	in	ADP
ijassa-157	123	5	accordance	accordance	NOUN
ijassa-157	123	6	to	to	ADP
ijassa-157	123	7	the	the	DET
ijassa-157	123	8	local	local	ADJ
ijassa-157	123	9	clutter	clutter	NOUN
ijassa-157	123	10	situation	situation	NOUN
ijassa-157	123	11	,	,	PUNCT
ijassa-157	123	12	the	the	DET
ijassa-157	123	13	test	test	NOUN
ijassa-157	123	14	is	be	AUX
ijassa-157	123	15	adaptive	adaptive	ADJ
ijassa-157	123	16	.	.	PUNCT
ijassa-157	124	1	when	when	SCONJ
ijassa-157	124	2	the	the	DET
ijassa-157	124	3	parameter	parameter	NOUN
ijassa-157	124	4	q	q	PROPN
ijassa-157	124	5	=	=	PUNCT
ijassa-157	124	6	(	(	PUNCT
ijassa-157	124	7	s	s	PROPN
ijassa-157	124	8	,	,	PUNCT
ijassa-157	124	9	q	q	NOUN
ijassa-157	124	10	)	)	PUNCT
ijassa-157	124	11	is	be	AUX
ijassa-157	124	12	unknown	unknown	ADJ
ijassa-157	124	13	,	,	PUNCT
ijassa-157	124	14	it	it	PRON
ijassa-157	124	15	is	be	AUX
ijassa-157	124	16	well	well	ADV
ijassa-157	124	17	known	know	VERB
ijassa-157	124	18	that	that	SCONJ
ijassa-157	124	19	no	no	INTJ
ijassa-157	124	20	the	the	DET
ijassa-157	124	21	uniformly	uniformly	ADV
ijassa-157	124	22	most	most	ADV
ijassa-157	124	23	powerful	powerful	ADJ
ijassa-157	124	24	(	(	PUNCT
ijassa-157	124	25	ump	ump	NOUN
ijassa-157	124	26	)	)	PUNCT
ijassa-157	124	27	test	test	NOUN
ijassa-157	124	28	exists	exist	VERB
ijassa-157	124	29	for	for	ADP
ijassa-157	124	30	testing	testing	NOUN
ijassa-157	124	31	h0	h0	PROPN
ijassa-157	124	32	versus	versus	ADP
ijassa-157	124	33	h1	h1	NOUN
ijassa-157	124	34	[	[	X
ijassa-157	124	35	8	8	NUM
ijassa-157	124	36	]	]	PUNCT
ijassa-157	124	37	.	.	PUNCT
ijassa-157	125	1	however	however	ADV
ijassa-157	125	2	,	,	PUNCT
ijassa-157	125	3	some	some	DET
ijassa-157	125	4	hypothesis	hypothesis	NOUN
ijassa-157	125	5	testing	testing	NOUN
ijassa-157	125	6	problems	problem	NOUN
ijassa-157	125	7	that	that	PRON
ijassa-157	125	8	do	do	AUX
ijassa-157	125	9	not	not	PART
ijassa-157	125	10	admit	admit	VERB
ijassa-157	125	11	ump	ump	NOUN
ijassa-157	125	12	decision	decision	NOUN
ijassa-157	125	13	rules	rule	NOUN
ijassa-157	125	14	(	(	PUNCT
ijassa-157	125	15	tests	test	NOUN
ijassa-157	125	16	)	)	PUNCT
ijassa-157	125	17	nevertheless	nevertheless	ADV
ijassa-157	125	18	exhibit	exhibit	VERB
ijassa-157	125	19	certain	certain	ADJ
ijassa-157	125	20	natural	natural	ADJ
ijassa-157	125	21	invariance	invariance	NOUN
ijassa-157	125	22	properties	property	NOUN
ijassa-157	125	23	[	[	X
ijassa-157	125	24	8	8	NUM
ijassa-157	125	25	-	-	SYM
ijassa-157	125	26	9	9	NUM
ijassa-157	125	27	]	]	PUNCT
ijassa-157	125	28	.	.	PUNCT
ijassa-157	126	1	these	these	DET
ijassa-157	126	2	properties	property	NOUN
ijassa-157	126	3	suggest	suggest	VERB
ijassa-157	126	4	restricting	restrict	VERB
ijassa-157	126	5	attention	attention	NOUN
ijassa-157	126	6	to	to	ADP
ijassa-157	126	7	a	a	DET
ijassa-157	126	8	limited	limited	ADJ
ijassa-157	126	9	class	class	NOUN
ijassa-157	126	10	of	of	ADP
ijassa-157	126	11	decision	decision	NOUN
ijassa-157	126	12	rules	rule	NOUN
ijassa-157	126	13	,	,	PUNCT
ijassa-157	126	14	viz	viz	PROPN
ijassa-157	126	15	.	.	PROPN
ijassa-157	126	16	,	,	PUNCT
ijassa-157	126	17	the	the	DET
ijassa-157	126	18	invariant	invariant	ADJ
ijassa-157	126	19	decision	decision	NOUN
ijassa-157	126	20	rules	rule	NOUN
ijassa-157	126	21	.	.	PUNCT
ijassa-157	127	1	it	it	PRON
ijassa-157	127	2	is	be	AUX
ijassa-157	127	3	then	then	ADV
ijassa-157	127	4	sometimes	sometimes	ADV
ijassa-157	127	5	possible	possible	ADJ
ijassa-157	127	6	to	to	PART
ijassa-157	127	7	derive	derive	VERB
ijassa-157	127	8	decision	decision	NOUN
ijassa-157	127	9	rules	rule	NOUN
ijassa-157	127	10	that	that	PRON
ijassa-157	127	11	are	be	AUX
ijassa-157	127	12	ump	ump	NOUN
ijassa-157	127	13	within	within	ADP
ijassa-157	127	14	this	this	DET
ijassa-157	127	15	limited	limited	ADJ
ijassa-157	127	16	class	class	NOUN
ijassa-157	127	17	.	.	PUNCT
ijassa-157	128	1	in	in	ADP
ijassa-157	128	2	this	this	DET
ijassa-157	128	3	sense	sense	NOUN
ijassa-157	128	4	,	,	PUNCT
ijassa-157	128	5	invariance	invariance	NOUN
ijassa-157	128	6	is	be	AUX
ijassa-157	128	7	a	a	DET
ijassa-157	128	8	concept	concept	NOUN
ijassa-157	128	9	of	of	ADP
ijassa-157	128	10	fundamental	fundamental	ADJ
ijassa-157	128	11	importance	importance	NOUN
ijassa-157	128	12	in	in	ADP
ijassa-157	128	13	hypothesis	hypothesis	NOUN
ijassa-157	128	14	testing	testing	NOUN
ijassa-157	128	15	.	.	PUNCT
ijassa-157	129	1	the	the	DET
ijassa-157	129	2	following	follow	VERB
ijassa-157	129	3	theorem	theorem	NOUN
ijassa-157	129	4	shows	show	VERB
ijassa-157	129	5	that	that	SCONJ
ijassa-157	129	6	the	the	DET
ijassa-157	129	7	test	test	NOUN
ijassa-157	129	8	(	(	PUNCT
ijassa-157	129	9	27	27	NUM
ijassa-157	129	10	)	)	PUNCT
ijassa-157	129	11	is	be	AUX
ijassa-157	129	12	umpi	umpi	ADJ
ijassa-157	129	13	for	for	ADP
ijassa-157	129	14	a	a	DET
ijassa-157	129	15	natural	natural	ADJ
ijassa-157	129	16	group	group	NOUN
ijassa-157	129	17	of	of	ADP
ijassa-157	129	18	transformations	transformation	NOUN
ijassa-157	129	19	on	on	ADP
ijassa-157	129	20	the	the	DET
ijassa-157	129	21	space	space	NOUN
ijassa-157	129	22	of	of	ADP
ijassa-157	129	23	observations	observation	NOUN
ijassa-157	129	24	.	.	PUNCT
ijassa-157	130	1	theorem	theorem	ADJ
ijassa-157	130	2	4	4	NUM
ijassa-157	130	3	(	(	PUNCT
ijassa-157	130	4	umpi	umpi	ADJ
ijassa-157	130	5	test	test	NOUN
ijassa-157	130	6	)	)	PUNCT
ijassa-157	130	7	.	.	PUNCT
ijassa-157	131	1	for	for	ADP
ijassa-157	131	2	testing	test	VERB
ijassa-157	131	3	the	the	DET
ijassa-157	131	4	hypothesis	hypothesis	NOUN
ijassa-157	131	5	h0(1	h0(1	PROPN
ijassa-157	131	6	)	)	PUNCT
ijassa-157	131	7	versus	versus	ADP
ijassa-157	131	8	the	the	DET
ijassa-157	131	9	alternative	alternative	ADJ
ijassa-157	131	10	h1(2	h1(2	PROPN
ijassa-157	131	11	)	)	PUNCT
ijassa-157	131	12	,	,	PUNCT
ijassa-157	131	13	the	the	DET
ijassa-157	131	14	cfar	cfar	ADJ
ijassa-157	131	15	test	test	NOUN
ijassa-157	131	16	given	give	VERB
ijassa-157	131	17	by	by	ADP
ijassa-157	131	18	(	(	PUNCT
ijassa-157	131	19	27	27	NUM
ijassa-157	131	20	)	)	PUNCT
ijassa-157	131	21	is	be	AUX
ijassa-157	131	22	uniformly	uniformly	ADV
ijassa-157	131	23	most	most	ADV
ijassa-157	131	24	powerful	powerful	ADJ
ijassa-157	131	25	invariant	invariant	ADJ
ijassa-157	131	26	(	(	PUNCT
ijassa-157	131	27	umpi	umpi	ADJ
ijassa-157	131	28	)	)	PUNCT
ijassa-157	131	29	.	.	PUNCT
ijassa-157	132	1	proof	proof	NOUN
ijassa-157	132	2	.	.	PUNCT
ijassa-157	133	1	the	the	DET
ijassa-157	133	2	proof	proof	NOUN
ijassa-157	133	3	is	be	AUX
ijassa-157	133	4	similar	similar	ADJ
ijassa-157	133	5	to	to	ADP
ijassa-157	133	6	that	that	PRON
ijassa-157	133	7	of	of	ADP
ijassa-157	133	8	nechval	nechval	NOUN
ijassa-157	133	9	[	[	X
ijassa-157	133	10	10	10	NUM
ijassa-157	133	11	]	]	PUNCT
ijassa-157	133	12	and	and	CCONJ
ijassa-157	133	13	so	so	ADV
ijassa-157	133	14	it	it	PRON
ijassa-157	133	15	is	be	AUX
ijassa-157	133	16	omitted	omit	VERB
ijassa-157	133	17	here	here	ADV
ijassa-157	133	18	.	.	PUNCT
ijassa-157	134	1	a	a	DET
ijassa-157	134	2	robustness	robustness	NOUN
ijassa-157	134	3	property	property	NOUN
ijassa-157	134	4	of	of	ADP
ijassa-157	134	5	the	the	DET
ijassa-157	134	6	v	v	NOUN
ijassa-157	134	7	-	-	PUNCT
ijassa-157	134	8	test	test	NOUN
ijassa-157	134	9	can	can	AUX
ijassa-157	134	10	be	be	AUX
ijassa-157	134	11	studied	study	VERB
ijassa-157	134	12	in	in	ADP
ijassa-157	134	13	the	the	DET
ijassa-157	134	14	following	follow	VERB
ijassa-157	134	15	set	set	NOUN
ijassa-157	134	16	-	-	PUNCT
ijassa-157	134	17	up	up	NOUN
ijassa-157	134	18	.	.	PUNCT
ijassa-157	135	1	let	let	VERB
ijassa-157	135	2	x	x	PUNCT
ijassa-157	135	3	=	=	SYM
ijassa-157	135	4	(	(	PUNCT
ijassa-157	135	5	x1	x1	PROPN
ijassa-157	135	6	,	,	PUNCT
ijassa-157	135	7	...	...	PUNCT
ijassa-157	135	8	,	,	PUNCT
ijassa-157	135	9	xn	xn	X
ijassa-157	135	10	)	)	PUNCT
ijassa-157	135	11	′	′	PUNCT
ijassa-157	135	12	be	be	AUX
ijassa-157	135	13	an	an	DET
ijassa-157	135	14	n	n	NUM
ijassa-157	135	15	×	×	NOUN
ijassa-157	135	16	p	p	X
ijassa-157	135	17	random	random	ADJ
ijassa-157	135	18	matrix	matrix	NOUN
ijassa-157	135	19	with	with	ADP
ijassa-157	135	20	a	a	DET
ijassa-157	135	21	pdf	pdf	NOUN
ijassa-157	135	22	φ	φ	NOUN
ijassa-157	135	23	,	,	PUNCT
ijassa-157	135	24	let	let	VERB
ijassa-157	135	25	cnp	cnp	NOUN
ijassa-157	135	26	be	be	AUX
ijassa-157	135	27	the	the	DET
ijassa-157	135	28	class	class	NOUN
ijassa-157	135	29	of	of	ADP
ijassa-157	135	30	pdf	pdf	NOUN
ijassa-157	135	31	s	s	PROPN
ijassa-157	135	32	on	on	ADP
ijassa-157	135	33	rnp	rnp	PROPN
ijassa-157	135	34	with	with	ADP
ijassa-157	135	35	respect	respect	NOUN
ijassa-157	135	36	to	to	ADP
ijassa-157	135	37	lebesque	lebesque	ADJ
ijassa-157	135	38	measure	measure	NOUN
ijassa-157	135	39	dx	dx	PROPN
ijassa-157	135	40	,	,	PUNCT
ijassa-157	135	41	and	and	CCONJ
ijassa-157	135	42	let	let	VERB
ijassa-157	135	43	h	h	NOUN
ijassa-157	135	44	be	be	AUX
ijassa-157	135	45	the	the	DET
ijassa-157	135	46	set	set	NOUN
ijassa-157	135	47	of	of	ADP
ijassa-157	135	48	nonincreasing	nonincrease	VERB
ijassa-157	135	49	convex	convex	NOUN
ijassa-157	135	50	functions	function	NOUN
ijassa-157	135	51	from	from	ADP
ijassa-157	135	52	[	[	X
ijassa-157	135	53	0,∞	0,∞	NOUN
ijassa-157	135	54	)	)	PUNCT
ijassa-157	135	55	into	into	ADP
ijassa-157	135	56	[	[	X
ijassa-157	135	57	0,∞	0,∞	NOUN
ijassa-157	135	58	)	)	PUNCT
ijassa-157	135	59	.	.	PUNCT
ijassa-157	136	1	we	we	PRON
ijassa-157	136	2	assume	assume	VERB
ijassa-157	136	3	n	n	PRON
ijassa-157	136	4	≥	≥	NOUN
ijassa-157	136	5	p	p	NOUN
ijassa-157	137	1	+	+	NOUN
ijassa-157	137	2	1	1	NUM
ijassa-157	137	3	.	.	X
ijassa-157	137	4	136	136	NUM
ijassa-157	137	5	konstantin	konstantin	PROPN
ijassa-157	137	6	n.	n.	PROPN
ijassa-157	137	7	nechval	nechval	PROPN
ijassa-157	137	8	:	:	PUNCT
ijassa-157	137	9	adaptive	adaptive	ADJ
ijassa-157	137	10	cfar	cfar	NOUN
ijassa-157	137	11	tests	test	NOUN
ijassa-157	137	12	for	for	ADP
ijassa-157	137	13	detection	detection	NOUN
ijassa-157	137	14	and	and	CCONJ
ijassa-157	137	15	recognition	recognition	NOUN
ijassa-157	137	16	of	of	ADP
ijassa-157	137	17	target	target	NOUN
ijassa-157	137	18	...	...	PUNCT
ijassa-157	137	19	for	for	ADP
ijassa-157	137	20	s	s	PROPN
ijassa-157	137	21	∈	∈	PROPN
ijassa-157	137	22	rp	rp	NOUN
ijassa-157	137	23	and	and	CCONJ
ijassa-157	137	24	q	q	PROPN
ijassa-157	137	25	∈	∈	PROPN
ijassa-157	138	1	qp	qp	NOUN
ijassa-157	138	2	define	define	VERB
ijassa-157	138	3	a	a	DET
ijassa-157	138	4	broad	broad	ADJ
ijassa-157	138	5	class	class	NOUN
ijassa-157	138	6	of	of	ADP
ijassa-157	138	7	pdfs	pdfs	PROPN
ijassa-157	138	8	on	on	ADP
ijassa-157	138	9	rnp	rnp	PROPN
ijassa-157	138	10	as	as	SCONJ
ijassa-157	138	11	follows	follow	VERB
ijassa-157	138	12	cnp(s	cnp(s	ADJ
ijassa-157	138	13	,	,	PUNCT
ijassa-157	138	14	q	q	NOUN
ijassa-157	138	15	)	)	PUNCT
ijassa-157	138	16	=	=	PUNCT
ijassa-157	138	17			PUNCT
ijassa-157	138	18	f	f	PROPN
ijassa-157	138	19	∈	∈	PROPN
ijassa-157	138	20	cnp	cnp	NOUN
ijassa-157	138	21	:	:	PUNCT
ijassa-157	138	22	f(x	f(x	PROPN
ijassa-157	138	23	;	;	PUNCT
ijassa-157	138	24	s	s	X
ijassa-157	138	25	,	,	PUNCT
ijassa-157	138	26	q	q	NOUN
ijassa-157	138	27	)	)	PUNCT
ijassa-157	138	28	=	=	SYM
ijassa-157	138	29	|q|−n/2η	|q|−n/2η	NOUN
ijassa-157	138	30	(	(	PUNCT
ijassa-157	138	31	n∑	n∑	NOUN
ijassa-157	138	32	i=1	i=1	PROPN
ijassa-157	138	33	(	(	PUNCT
ijassa-157	138	34	xi	xi	PROPN
ijassa-157	138	35	−	−	PROPN
ijassa-157	138	36	s)′q−1(xi	s)′q−1(xi	VERB
ijassa-157	138	37	−	−	PROPN
ijassa-157	138	38	s	s	NOUN
ijassa-157	138	39	)	)	PUNCT
ijassa-157	138	40	)	)	PUNCT
ijassa-157	138	41	,	,	PUNCT
ijassa-157	138	42	η	η	PROPN
ijassa-157	138	43	∈	∈	PROPN
ijassa-157	138	44	h	h	NOUN
ijassa-157	139	1			NOUN
ijassa-157	139	2	(	(	PUNCT
ijassa-157	139	3	33	33	NUM
ijassa-157	139	4	)	)	PUNCT
ijassa-157	139	5	in	in	ADP
ijassa-157	139	6	this	this	DET
ijassa-157	139	7	model	model	NOUN
ijassa-157	139	8	,	,	PUNCT
ijassa-157	139	9	it	it	PRON
ijassa-157	139	10	can	can	AUX
ijassa-157	139	11	be	be	AUX
ijassa-157	139	12	considered	consider	VERB
ijassa-157	139	13	the	the	DET
ijassa-157	139	14	testing	testing	NOUN
ijassa-157	139	15	problem	problem	NOUN
ijassa-157	139	16	h0	h0	PROPN
ijassa-157	139	17	:	:	PUNCT
ijassa-157	139	18	ϕ	ϕ	PROPN
ijassa-157	139	19	∈	∈	PROPN
ijassa-157	139	20	cnp(0	cnp(0	NOUN
ijassa-157	139	21	,	,	PUNCT
ijassa-157	139	22	q	q	NOUN
ijassa-157	139	23	)	)	PUNCT
ijassa-157	139	24	,	,	PUNCT
ijassa-157	139	25	q	q	PROPN
ijassa-157	139	26	∈	∈	PROPN
ijassa-157	139	27	qp	qp	X
ijassa-157	139	28	(	(	PUNCT
ijassa-157	139	29	34	34	NUM
ijassa-157	139	30	)	)	PUNCT
ijassa-157	139	31	versus	versus	ADP
ijassa-157	139	32	h1	h1	PROPN
ijassa-157	139	33	:	:	PUNCT
ijassa-157	139	34	ϕ	ϕ	PROPN
ijassa-157	139	35	∈	∈	PROPN
ijassa-157	139	36	cnp(s	cnp(s	PROPN
ijassa-157	139	37	,	,	PUNCT
ijassa-157	139	38	q	q	NOUN
ijassa-157	139	39	)	)	PUNCT
ijassa-157	139	40	,	,	PUNCT
ijassa-157	139	41	s	s	VERB
ijassa-157	139	42	̸=	̸=	PROPN
ijassa-157	139	43	0	0	NUM
ijassa-157	139	44	,	,	PUNCT
ijassa-157	139	45	q	q	PROPN
ijassa-157	139	46	∈	∈	PROPN
ijassa-157	139	47	qp	qp	X
ijassa-157	139	48	(	(	PUNCT
ijassa-157	139	49	35	35	NUM
ijassa-157	139	50	)	)	PUNCT
ijassa-157	139	51	and	and	CCONJ
ijassa-157	139	52	shown	show	VERB
ijassa-157	139	53	that	that	SCONJ
ijassa-157	139	54	v	v	NOUN
ijassa-157	139	55	-	-	PUNCT
ijassa-157	139	56	test	test	NOUN
ijassa-157	139	57	is	be	AUX
ijassa-157	139	58	umpi	umpi	ADJ
ijassa-157	139	59	.	.	PUNCT
ijassa-157	140	1	clearly	clearly	ADV
ijassa-157	140	2	if	if	SCONJ
ijassa-157	140	3	(	(	PUNCT
ijassa-157	140	4	x1	x1	ADJ
ijassa-157	140	5	,	,	PUNCT
ijassa-157	140	6	...	...	PUNCT
ijassa-157	140	7	,	,	PUNCT
ijassa-157	140	8	xn	xn	PROPN
ijassa-157	140	9	)	)	PUNCT
ijassa-157	140	10	is	be	AUX
ijassa-157	140	11	a	a	DET
ijassa-157	140	12	random	random	ADJ
ijassa-157	140	13	sample	sample	NOUN
ijassa-157	140	14	of	of	ADP
ijassa-157	140	15	xi	xi	ADP
ijassa-157	140	16	∼	∼	NOUN
ijassa-157	140	17	np(s	np(s	ADJ
ijassa-157	140	18	,	,	PUNCT
ijassa-157	140	19	q	q	NOUN
ijassa-157	140	20	)	)	PUNCT
ijassa-157	140	21	,	,	PUNCT
ijassa-157	140	22	i	i	NOUN
ijassa-157	140	23	=	=	SYM
ijassa-157	140	24	1(1)n	1(1)n	NUM
ijassa-157	140	25	,	,	PUNCT
ijassa-157	140	26	or	or	CCONJ
ijassa-157	140	27	x	x	NOUN
ijassa-157	140	28	∼	∼	NOUN
ijassa-157	140	29	nnp(cs	nnp(c	NOUN
ijassa-157	140	30	′	′	NOUN
ijassa-157	140	31	,	,	PUNCT
ijassa-157	140	32	in	in	ADP
ijassa-157	140	33	⊗q	⊗q	NOUN
ijassa-157	140	34	)	)	PUNCT
ijassa-157	140	35	,	,	PUNCT
ijassa-157	140	36	the	the	DET
ijassa-157	140	37	pdf	pdf	NOUN
ijassa-157	140	38	φ	φ	PROPN
ijassa-157	140	39	of	of	ADP
ijassa-157	140	40	x	x	PUNCT
ijassa-157	140	41	belongs	belong	VERB
ijassa-157	140	42	to	to	ADP
ijassa-157	140	43	cnp	cnp	PROPN
ijassa-157	140	44	(	(	PUNCT
ijassa-157	140	45	s	s	PROPN
ijassa-157	140	46	,	,	PUNCT
ijassa-157	140	47	q	q	NOUN
ijassa-157	140	48	)	)	PUNCT
ijassa-157	140	49	.	.	PUNCT
ijassa-157	141	1	further	far	ADV
ijassa-157	141	2	if	if	SCONJ
ijassa-157	141	3	f	f	PROPN
ijassa-157	141	4	(	(	PUNCT
ijassa-157	141	5	x	x	NOUN
ijassa-157	141	6	;	;	PUNCT
ijassa-157	141	7	s	s	X
ijassa-157	141	8	,	,	PUNCT
ijassa-157	141	9	q	q	NOUN
ijassa-157	141	10	)	)	PUNCT
ijassa-157	141	11	)	)	PUNCT
ijassa-157	141	12	belongs	belong	VERB
ijassa-157	141	13	to	to	ADP
ijassa-157	141	14	cnp	cnp	PROPN
ijassa-157	141	15	(	(	PUNCT
ijassa-157	141	16	s	s	PROPN
ijassa-157	141	17	,	,	PUNCT
ijassa-157	141	18	q	q	NOUN
ijassa-157	141	19	)	)	PUNCT
ijassa-157	141	20	,	,	PUNCT
ijassa-157	141	21	then	then	ADV
ijassa-157	141	22	g∗(x	g∗(x	PROPN
ijassa-157	141	23	;	;	PUNCT
ijassa-157	141	24	s	s	X
ijassa-157	141	25	,	,	PUNCT
ijassa-157	141	26	q	q	NOUN
ijassa-157	141	27	)	)	PUNCT
ijassa-157	141	28	=	=	SYM
ijassa-157	141	29	∞∫	∞∫	PROPN
ijassa-157	141	30	0	0	NUM
ijassa-157	141	31	f(x	f(x	PROPN
ijassa-157	141	32	;	;	PUNCT
ijassa-157	141	33	s	s	X
ijassa-157	141	34	,	,	PUNCT
ijassa-157	141	35	rq)dg∗(r	rq)dg∗(r	PROPN
ijassa-157	141	36	)	)	PUNCT
ijassa-157	141	37	(	(	PUNCT
ijassa-157	141	38	36	36	NUM
ijassa-157	141	39	)	)	PUNCT
ijassa-157	141	40	also	also	ADV
ijassa-157	141	41	belongs	belong	VERB
ijassa-157	141	42	to	to	ADP
ijassa-157	141	43	cnp	cnp	PROPN
ijassa-157	141	44	(	(	PUNCT
ijassa-157	141	45	s	s	PROPN
ijassa-157	141	46	,	,	PUNCT
ijassa-157	141	47	q	q	NOUN
ijassa-157	141	48	)	)	PUNCT
ijassa-157	141	49	where	where	SCONJ
ijassa-157	141	50	g∗	g∗	PROPN
ijassa-157	141	51	is	be	AUX
ijassa-157	141	52	a	a	DET
ijassa-157	141	53	distribution	distribution	NOUN
ijassa-157	141	54	function	function	NOUN
ijassa-157	141	55	on	on	ADP
ijassa-157	141	56	(	(	PUNCT
ijassa-157	141	57	0,∞	0,∞	NOUN
ijassa-157	141	58	)	)	PUNCT
ijassa-157	141	59	,	,	PUNCT
ijassa-157	141	60	and	and	CCONJ
ijassa-157	141	61	so	so	ADV
ijassa-157	141	62	cnp	cnp	PROPN
ijassa-157	141	63	(	(	PUNCT
ijassa-157	141	64	s	s	PROPN
ijassa-157	141	65	,	,	PUNCT
ijassa-157	141	66	q	q	NOUN
ijassa-157	141	67	)	)	PUNCT
ijassa-157	141	68	contains	contain	VERB
ijassa-157	141	69	the	the	DET
ijassa-157	141	70	(	(	PUNCT
ijassa-157	141	71	np	np	NOUN
ijassa-157	141	72	-	-	PUNCT
ijassa-157	141	73	dimensional	dimensional	ADJ
ijassa-157	141	74	)	)	PUNCT
ijassa-157	141	75	multivariate	multivariate	NOUN
ijassa-157	141	76	t	t	NOUN
ijassa-157	141	77	-	-	PUNCT
ijassa-157	141	78	distribution	distribution	NOUN
ijassa-157	141	79	,	,	PUNCT
ijassa-157	141	80	the	the	DET
ijassa-157	141	81	multivariate	multivariate	NOUN
ijassa-157	141	82	cauchy	cauchy	NOUN
ijassa-157	141	83	distribution	distribution	NOUN
ijassa-157	141	84	,	,	PUNCT
ijassa-157	141	85	the	the	DET
ijassa-157	141	86	contaminated	contaminate	VERB
ijassa-157	141	87	normal	normal	ADJ
ijassa-157	141	88	distribution	distribution	NOUN
ijassa-157	141	89	,	,	PUNCT
ijassa-157	141	90	etc	etc	X
ijassa-157	141	91	.	.	X
ijassa-157	142	1	[	[	X
ijassa-157	142	2	10	10	NUM
ijassa-157	142	3	-	-	SYM
ijassa-157	142	4	12	12	NUM
ijassa-157	142	5	]	]	PUNCT
ijassa-157	142	6	.	.	PUNCT
ijassa-157	143	1	here	here	ADV
ijassa-157	143	2	the	the	DET
ijassa-157	143	3	following	follow	VERB
ijassa-157	143	4	theorem	theorem	ADJ
ijassa-157	143	5	holds	hold	NOUN
ijassa-157	143	6	.	.	PUNCT
ijassa-157	144	1	theorem	theorem	ADJ
ijassa-157	144	2	5	5	NUM
ijassa-157	144	3	(	(	PUNCT
ijassa-157	144	4	robustness	robustness	NOUN
ijassa-157	144	5	property	property	NOUN
ijassa-157	144	6	)	)	PUNCT
ijassa-157	144	7	.	.	PUNCT
ijassa-157	145	1	for	for	ADP
ijassa-157	145	2	problem	problem	NOUN
ijassa-157	145	3	(	(	PUNCT
ijassa-157	145	4	34)-(35	34)-(35	NUM
ijassa-157	145	5	)	)	PUNCT
ijassa-157	145	6	,	,	PUNCT
ijassa-157	145	7	the	the	DET
ijassa-157	145	8	cfar	cfar	ADJ
ijassa-157	145	9	v	v	NOUN
ijassa-157	145	10	-	-	PUNCT
ijassa-157	145	11	test	test	NOUN
ijassa-157	145	12	is	be	AUX
ijassa-157	145	13	umpi	umpi	ADJ
ijassa-157	145	14	and	and	CCONJ
ijassa-157	145	15	the	the	DET
ijassa-157	145	16	null	null	ADJ
ijassa-157	145	17	distribution	distribution	NOUN
ijassa-157	145	18	of	of	ADP
ijassa-157	145	19	v	v	NOUN
ijassa-157	145	20	is	be	AUX
ijassa-157	145	21	f	f	PROPN
ijassa-157	145	22	-distribution	-distribution	NOUN
ijassa-157	145	23	with	with	ADP
ijassa-157	145	24	d.f.s	d.f.s	ADJ
ijassa-157	145	25	p	p	NOUN
ijassa-157	145	26	and	and	CCONJ
ijassa-157	145	27	n−	n−	PROPN
ijassa-157	145	28	p	p	NOUN
ijassa-157	145	29	,	,	PUNCT
ijassa-157	145	30	i.e.	i.e.	X
ijassa-157	145	31	,	,	PUNCT
ijassa-157	145	32	the	the	DET
ijassa-157	145	33	cfar	cfar	ADJ
ijassa-157	145	34	test	test	NOUN
ijassa-157	145	35	is	be	AUX
ijassa-157	145	36	still	still	ADV
ijassa-157	145	37	umpi	umpi	ADJ
ijassa-157	145	38	in	in	ADP
ijassa-157	145	39	a	a	DET
ijassa-157	145	40	broad	broad	ADJ
ijassa-157	145	41	class	class	NOUN
ijassa-157	145	42	of	of	ADP
ijassa-157	145	43	distributions	distribution	NOUN
ijassa-157	145	44	given	give	VERB
ijassa-157	145	45	by	by	ADP
ijassa-157	145	46	(	(	PUNCT
ijassa-157	145	47	33	33	NUM
ijassa-157	145	48	)	)	PUNCT
ijassa-157	145	49	,	,	PUNCT
ijassa-157	145	50	and	and	CCONJ
ijassa-157	145	51	the	the	DET
ijassa-157	145	52	null	null	ADJ
ijassa-157	145	53	distribution	distribution	NOUN
ijassa-157	145	54	under	under	ADP
ijassa-157	145	55	any	any	DET
ijassa-157	145	56	member	member	NOUN
ijassa-157	145	57	of	of	ADP
ijassa-157	145	58	the	the	DET
ijassa-157	145	59	class	class	NOUN
ijassa-157	145	60	is	be	AUX
ijassa-157	145	61	the	the	DET
ijassa-157	145	62	same	same	ADJ
ijassa-157	145	63	as	as	ADP
ijassa-157	145	64	that	that	PRON
ijassa-157	145	65	under	under	ADP
ijassa-157	145	66	normality	normality	NOUN
ijassa-157	145	67	.	.	PUNCT
ijassa-157	146	1	proof	proof	NOUN
ijassa-157	146	2	.	.	PUNCT
ijassa-157	147	1	the	the	DET
ijassa-157	147	2	proof	proof	NOUN
ijassa-157	147	3	is	be	AUX
ijassa-157	147	4	similar	similar	ADJ
ijassa-157	147	5	to	to	ADP
ijassa-157	147	6	that	that	PRON
ijassa-157	147	7	of	of	ADP
ijassa-157	147	8	nechval	nechval	NOUN
ijassa-157	147	9	[	[	X
ijassa-157	147	10	10	10	NUM
ijassa-157	147	11	]	]	PUNCT
ijassa-157	147	12	and	and	CCONJ
ijassa-157	147	13	so	so	ADV
ijassa-157	147	14	it	it	PRON
ijassa-157	147	15	is	be	AUX
ijassa-157	147	16	omitted	omit	VERB
ijassa-157	147	17	here	here	ADV
ijassa-157	147	18	.	.	PUNCT
ijassa-157	148	1	2.4	2.4	NUM
ijassa-157	148	2	risk	risk	NOUN
ijassa-157	148	3	minimization	minimization	NOUN
ijassa-157	148	4	for	for	ADP
ijassa-157	148	5	fixed	fixed	ADJ
ijassa-157	148	6	n	n	CCONJ
ijassa-157	148	7	,	,	PUNCT
ijassa-157	148	8	in	in	ADP
ijassa-157	148	9	terms	term	NOUN
ijassa-157	148	10	of	of	ADP
ijassa-157	148	11	the	the	DET
ijassa-157	148	12	above	above	ADJ
ijassa-157	148	13	probability	probability	NOUN
ijassa-157	148	14	density	density	NOUN
ijassa-157	148	15	functions	function	NOUN
ijassa-157	148	16	in	in	ADP
ijassa-157	148	17	(	(	PUNCT
ijassa-157	148	18	25	25	NUM
ijassa-157	148	19	)	)	PUNCT
ijassa-157	148	20	and	and	CCONJ
ijassa-157	148	21	(	(	PUNCT
ijassa-157	148	22	26	26	NUM
ijassa-157	148	23	)	)	PUNCT
ijassa-157	148	24	,	,	PUNCT
ijassa-157	148	25	the	the	DET
ijassa-157	148	26	probability	probability	NOUN
ijassa-157	148	27	of	of	ADP
ijassa-157	148	28	making	make	VERB
ijassa-157	148	29	the	the	DET
ijassa-157	148	30	first	first	ADJ
ijassa-157	148	31	type	type	NOUN
ijassa-157	148	32	of	of	ADP
ijassa-157	148	33	wrong	wrong	ADJ
ijassa-157	148	34	decision	decision	NOUN
ijassa-157	148	35	(	(	PUNCT
ijassa-157	148	36	false	false	ADJ
ijassa-157	148	37	alarm	alarm	NOUN
ijassa-157	148	38	probability	probability	NOUN
ijassa-157	148	39	)	)	PUNCT
ijassa-157	148	40	is	be	AUX
ijassa-157	148	41	found	find	VERB
ijassa-157	148	42	by	by	ADP
ijassa-157	148	43	α(h;n	α(h;n	ADJ
ijassa-157	148	44	)	)	PUNCT
ijassa-157	149	1	=	=	SYM
ijassa-157	149	2	∞∫	∞∫	PROPN
ijassa-157	149	3	h	h	NOUN
ijassa-157	149	4	fh0(v;n)dv	fh0(v;n)dv	PROPN
ijassa-157	149	5	(	(	PUNCT
ijassa-157	149	6	37	37	NUM
ijassa-157	149	7	)	)	PUNCT
ijassa-157	149	8	and	and	CCONJ
ijassa-157	149	9	the	the	DET
ijassa-157	149	10	probability	probability	NOUN
ijassa-157	149	11	of	of	ADP
ijassa-157	149	12	making	make	VERB
ijassa-157	149	13	the	the	DET
ijassa-157	149	14	second	second	ADJ
ijassa-157	149	15	type	type	NOUN
ijassa-157	149	16	of	of	ADP
ijassa-157	149	17	wrong	wrong	ADJ
ijassa-157	149	18	decision	decision	NOUN
ijassa-157	149	19	(	(	PUNCT
ijassa-157	149	20	the	the	DET
ijassa-157	149	21	probability	probability	NOUN
ijassa-157	149	22	of	of	ADP
ijassa-157	149	23	a	a	DET
ijassa-157	149	24	miss	miss	NOUN
ijassa-157	149	25	)	)	PUNCT
ijassa-157	149	26	by	by	ADP
ijassa-157	149	27	β(h;n	β(h;n	PROPN
ijassa-157	149	28	,	,	PUNCT
ijassa-157	149	29	q)=	q)=	ADV
ijassa-157	149	30	h∫	h∫	PROPN
ijassa-157	149	31	0	0	NUM
ijassa-157	149	32	fh1(v;n	fh1(v;n	NOUN
ijassa-157	149	33	,	,	PUNCT
ijassa-157	149	34	q)dv	q)dv	PROPN
ijassa-157	149	35	.	.	PUNCT
ijassa-157	150	1	(	(	PUNCT
ijassa-157	150	2	38	38	NUM
ijassa-157	150	3	)	)	PUNCT
ijassa-157	150	4	advances	advance	NOUN
ijassa-157	150	5	in	in	ADP
ijassa-157	150	6	systems	system	NOUN
ijassa-157	150	7	science	science	NOUN
ijassa-157	150	8	and	and	CCONJ
ijassa-157	150	9	applications	application	NOUN
ijassa-157	150	10	(	(	PUNCT
ijassa-157	150	11	2014	2014	NUM
ijassa-157	150	12	)	)	PUNCT
ijassa-157	150	13	vol.14	vol.14	NOUN
ijassa-157	150	14	no.2	no.2	NUM
ijassa-157	150	15	137	137	NUM
ijassa-157	151	1	any	any	DET
ijassa-157	151	2	value	value	NOUN
ijassa-157	151	3	of	of	ADP
ijassa-157	151	4	s	s	PRON
ijassa-157	151	5	will	will	AUX
ijassa-157	151	6	result	result	VERB
ijassa-157	151	7	in	in	ADP
ijassa-157	151	8	a	a	DET
ijassa-157	151	9	value	value	NOUN
ijassa-157	151	10	for	for	ADP
ijassa-157	151	11	q	q	NOUN
ijassa-157	151	12	that	that	PRON
ijassa-157	151	13	is	be	AUX
ijassa-157	151	14	greater	great	ADJ
ijassa-157	151	15	than	than	ADP
ijassa-157	151	16	zero	zero	NUM
ijassa-157	151	17	.	.	PUNCT
ijassa-157	152	1	as	as	ADP
ijassa-157	152	2	the	the	DET
ijassa-157	152	3	value	value	NOUN
ijassa-157	152	4	of	of	ADP
ijassa-157	152	5	s	s	NOUN
ijassa-157	152	6	increases	increase	NOUN
ijassa-157	152	7	,	,	PUNCT
ijassa-157	152	8	the	the	DET
ijassa-157	152	9	value	value	NOUN
ijassa-157	152	10	of	of	ADP
ijassa-157	152	11	q	q	NOUN
ijassa-157	152	12	will	will	AUX
ijassa-157	152	13	also	also	ADV
ijassa-157	152	14	increase	increase	VERB
ijassa-157	152	15	.	.	PUNCT
ijassa-157	153	1	a	a	DET
ijassa-157	153	2	good	good	ADJ
ijassa-157	153	3	detector	detector	NOUN
ijassa-157	153	4	is	be	AUX
ijassa-157	153	5	certainty	certainty	NOUN
ijassa-157	153	6	expected	expect	VERB
ijassa-157	153	7	to	to	PART
ijassa-157	153	8	minimize	minimize	VERB
ijassa-157	153	9	α	α	PROPN
ijassa-157	153	10	and	and	CCONJ
ijassa-157	153	11	β	β	NOUN
ijassa-157	153	12	in	in	ADP
ijassa-157	153	13	some	some	DET
ijassa-157	153	14	manner	manner	NOUN
ijassa-157	153	15	.	.	PUNCT
ijassa-157	154	1	for	for	ADP
ijassa-157	154	2	example	example	NOUN
ijassa-157	154	3	,	,	PUNCT
ijassa-157	154	4	the	the	DET
ijassa-157	154	5	neyman	neyman	PROPN
ijassa-157	154	6	-	-	PUNCT
ijassa-157	154	7	pearson	pearson	PROPN
ijassa-157	154	8	criterion	criterion	NOUN
ijassa-157	154	9	defines	define	VERB
ijassa-157	154	10	optimality	optimality	NOUN
ijassa-157	154	11	to	to	PART
ijassa-157	154	12	be	be	AUX
ijassa-157	154	13	that	that	PRON
ijassa-157	154	14	of	of	ADP
ijassa-157	154	15	maximizing	maximize	VERB
ijassa-157	154	16	1−	1−	NUM
ijassa-157	154	17	β	β	NOUN
ijassa-157	154	18	subject	subject	ADJ
ijassa-157	154	19	to	to	ADP
ijassa-157	154	20	the	the	DET
ijassa-157	154	21	constraint	constraint	NOUN
ijassa-157	154	22	that	that	PRON
ijassa-157	154	23	α	α	PRON
ijassa-157	154	24	≤	≤	PUNCT
ijassa-157	154	25	α0	α0	ADJ
ijassa-157	154	26	,	,	PUNCT
ijassa-157	154	27	where	where	SCONJ
ijassa-157	154	28	α0	α0	PROPN
ijassa-157	154	29	is	be	AUX
ijassa-157	154	30	a	a	DET
ijassa-157	154	31	fixed	fix	VERB
ijassa-157	154	32	constant	constant	ADJ
ijassa-157	154	33	between	between	ADP
ijassa-157	154	34	zero	zero	NUM
ijassa-157	154	35	and	and	CCONJ
ijassa-157	154	36	unity	unity	NOUN
ijassa-157	154	37	.	.	PUNCT
ijassa-157	155	1	for	for	ADP
ijassa-157	155	2	this	this	DET
ijassa-157	155	3	criterion	criterion	NOUN
ijassa-157	155	4	,	,	PUNCT
ijassa-157	155	5	the	the	DET
ijassa-157	155	6	optimum	optimum	ADJ
ijassa-157	155	7	threshold	threshold	NOUN
ijassa-157	155	8	can	can	AUX
ijassa-157	155	9	be	be	AUX
ijassa-157	155	10	found	find	VERB
ijassa-157	155	11	from	from	ADP
ijassa-157	155	12	(	(	PUNCT
ijassa-157	155	13	30	30	NUM
ijassa-157	155	14	)	)	PUNCT
ijassa-157	155	15	.	.	PUNCT
ijassa-157	156	1	in	in	ADP
ijassa-157	156	2	general	general	ADJ
ijassa-157	156	3	the	the	DET
ijassa-157	156	4	structure	structure	NOUN
ijassa-157	156	5	of	of	ADP
ijassa-157	156	6	an	an	DET
ijassa-157	156	7	optimum	optimum	ADJ
ijassa-157	156	8	detector	detector	NOUN
ijassa-157	156	9	depends	depend	VERB
ijassa-157	156	10	on	on	ADP
ijassa-157	156	11	the	the	DET
ijassa-157	156	12	signal	signal	NOUN
ijassa-157	156	13	(	(	PUNCT
ijassa-157	156	14	or	or	CCONJ
ijassa-157	156	15	the	the	DET
ijassa-157	156	16	signal	signal	NOUN
ijassa-157	156	17	-	-	PUNCT
ijassa-157	156	18	to	to	ADP
ijassa-157	156	19	-	-	PUNCT
ijassa-157	156	20	noise	noise	NOUN
ijassa-157	156	21	ratio	ratio	NOUN
ijassa-157	156	22	)	)	PUNCT
ijassa-157	156	23	.	.	PUNCT
ijassa-157	157	1	let	let	VERB
ijassa-157	157	2	us	we	PRON
ijassa-157	157	3	assume	assume	VERB
ijassa-157	157	4	that	that	SCONJ
ijassa-157	157	5	a	a	DET
ijassa-157	157	6	noncentrality	noncentrality	NOUN
ijassa-157	157	7	parameter	parameter	NOUN
ijassa-157	157	8	q	q	NOUN
ijassa-157	157	9	representing	represent	VERB
ijassa-157	157	10	the	the	DET
ijassa-157	157	11	generalized	generalized	ADJ
ijassa-157	157	12	signal	signal	NOUN
ijassa-157	157	13	-	-	PUNCT
ijassa-157	157	14	to	to	ADP
ijassa-157	157	15	-	-	PUNCT
ijassa-157	157	16	noise	noise	NOUN
ijassa-157	157	17	ratio	ratio	NOUN
ijassa-157	157	18	(	(	PUNCT
ijassa-157	157	19	gsnr	gsnr	PROPN
ijassa-157	157	20	)	)	PUNCT
ijassa-157	157	21	is	be	AUX
ijassa-157	157	22	given	give	VERB
ijassa-157	157	23	.	.	PUNCT
ijassa-157	158	1	if	if	SCONJ
ijassa-157	158	2	we	we	PRON
ijassa-157	158	3	let	let	VERB
ijassa-157	158	4	wα	wα	NOUN
ijassa-157	158	5	and	and	CCONJ
ijassa-157	158	6	wβ	wβ	AUX
ijassa-157	158	7	be	be	AUX
ijassa-157	158	8	the	the	DET
ijassa-157	158	9	unit	unit	NOUN
ijassa-157	158	10	weight	weight	NOUN
ijassa-157	158	11	(	(	PUNCT
ijassa-157	158	12	cost	cost	NOUN
ijassa-157	158	13	)	)	PUNCT
ijassa-157	158	14	of	of	ADP
ijassa-157	158	15	the	the	DET
ijassa-157	158	16	probability	probability	NOUN
ijassa-157	158	17	of	of	ADP
ijassa-157	158	18	making	make	VERB
ijassa-157	158	19	the	the	DET
ijassa-157	158	20	first	first	ADJ
ijassa-157	158	21	type	type	NOUN
ijassa-157	158	22	of	of	ADP
ijassa-157	158	23	wrong	wrong	ADJ
ijassa-157	158	24	decision	decision	NOUN
ijassa-157	158	25	(	(	PUNCT
ijassa-157	158	26	α	α	NOUN
ijassa-157	158	27	)	)	PUNCT
ijassa-157	158	28	and	and	CCONJ
ijassa-157	158	29	the	the	DET
ijassa-157	158	30	probability	probability	NOUN
ijassa-157	158	31	of	of	ADP
ijassa-157	158	32	making	make	VERB
ijassa-157	158	33	the	the	DET
ijassa-157	158	34	second	second	ADJ
ijassa-157	158	35	type	type	NOUN
ijassa-157	158	36	of	of	ADP
ijassa-157	158	37	wrong	wrong	ADJ
ijassa-157	158	38	decision	decision	NOUN
ijassa-157	158	39	(	(	PUNCT
ijassa-157	158	40	β	β	NOUN
ijassa-157	158	41	)	)	PUNCT
ijassa-157	158	42	,	,	PUNCT
ijassa-157	158	43	respectively	respectively	ADV
ijassa-157	158	44	,	,	PUNCT
ijassa-157	158	45	then	then	ADV
ijassa-157	158	46	the	the	DET
ijassa-157	158	47	optimal	optimal	ADJ
ijassa-157	158	48	threshold	threshold	NOUN
ijassa-157	158	49	of	of	ADP
ijassa-157	158	50	test	test	NOUN
ijassa-157	158	51	,	,	PUNCT
ijassa-157	158	52	h∗	h∗	PROPN
ijassa-157	158	53	,	,	PUNCT
ijassa-157	158	54	can	can	AUX
ijassa-157	158	55	be	be	AUX
ijassa-157	158	56	found	find	VERB
ijassa-157	158	57	by	by	ADP
ijassa-157	158	58	solving	solve	VERB
ijassa-157	158	59	the	the	DET
ijassa-157	158	60	following	follow	VERB
ijassa-157	158	61	optimization	optimization	NOUN
ijassa-157	158	62	problem	problem	NOUN
ijassa-157	158	63	(	(	PUNCT
ijassa-157	158	64	with	with	ADP
ijassa-157	158	65	respect	respect	NOUN
ijassa-157	158	66	to	to	ADP
ijassa-157	158	67	h	h	NOUN
ijassa-157	158	68	):	):	PUNCT
ijassa-157	158	69	minimize	minimize	VERB
ijassa-157	158	70	r(h;n	r(h;n	NOUN
ijassa-157	158	71	,	,	PUNCT
ijassa-157	158	72	q	q	NOUN
ijassa-157	158	73	)	)	PUNCT
ijassa-157	158	74	=	=	SYM
ijassa-157	158	75	wαα(h;n	wαα(h;n	NOUN
ijassa-157	158	76	)	)	PUNCT
ijassa-157	159	1	+	+	CCONJ
ijassa-157	159	2	wββ(h;n	wββ(h;n	ADJ
ijassa-157	159	3	,	,	PUNCT
ijassa-157	159	4	q	q	NOUN
ijassa-157	159	5	)	)	PUNCT
ijassa-157	159	6	(	(	PUNCT
ijassa-157	159	7	39	39	NUM
ijassa-157	159	8	)	)	PUNCT
ijassa-157	159	9	subject	subject	NOUN
ijassa-157	159	10	to	to	ADP
ijassa-157	159	11	h	h	NOUN
ijassa-157	159	12	∈	∈	PROPN
ijassa-157	159	13	(	(	PUNCT
ijassa-157	159	14	0	0	NUM
ijassa-157	159	15	,	,	PUNCT
ijassa-157	159	16	1	1	NUM
ijassa-157	159	17	)	)	PUNCT
ijassa-157	159	18	,	,	PUNCT
ijassa-157	159	19	(	(	PUNCT
ijassa-157	159	20	40	40	NUM
ijassa-157	159	21	)	)	PUNCT
ijassa-157	159	22	where	where	SCONJ
ijassa-157	159	23	r	r	NOUN
ijassa-157	159	24	(	(	PUNCT
ijassa-157	159	25	h;n	h;n	NOUN
ijassa-157	159	26	,	,	PUNCT
ijassa-157	159	27	q	q	NOUN
ijassa-157	159	28	)	)	PUNCT
ijassa-157	159	29	is	be	AUX
ijassa-157	159	30	a	a	DET
ijassa-157	159	31	risk	risk	NOUN
ijassa-157	159	32	representing	represent	VERB
ijassa-157	159	33	the	the	DET
ijassa-157	159	34	weighted	weighted	ADJ
ijassa-157	159	35	sum	sum	NOUN
ijassa-157	159	36	of	of	ADP
ijassa-157	159	37	the	the	DET
ijassa-157	159	38	false	false	ADJ
ijassa-157	159	39	alarm	alarm	NOUN
ijassa-157	159	40	risk	risk	NOUN
ijassa-157	159	41	and	and	CCONJ
ijassa-157	159	42	the	the	DET
ijassa-157	159	43	miss	miss	ADJ
ijassa-157	159	44	risk	risk	NOUN
ijassa-157	159	45	.	.	PUNCT
ijassa-157	160	1	it	it	PRON
ijassa-157	160	2	can	can	AUX
ijassa-157	160	3	be	be	AUX
ijassa-157	160	4	shown	show	VERB
ijassa-157	160	5	that	that	SCONJ
ijassa-157	160	6	h∗	h∗	PROPN
ijassa-157	160	7	satisfies	satisfy	VERB
ijassa-157	160	8	the	the	DET
ijassa-157	160	9	equation	equation	NOUN
ijassa-157	160	10	wαfh0(h	wαfh0(h	ADV
ijassa-157	160	11	∗;n	∗;n	NOUN
ijassa-157	160	12	)	)	PUNCT
ijassa-157	161	1	=	=	SYM
ijassa-157	162	1	wβfh1(h	wβfh1(h	PUNCT
ijassa-157	163	1	∗;n	∗;n	NOUN
ijassa-157	163	2	,	,	PUNCT
ijassa-157	163	3	q	q	NOUN
ijassa-157	163	4	)	)	PUNCT
ijassa-157	163	5	.	.	PUNCT
ijassa-157	164	1	(	(	PUNCT
ijassa-157	164	2	41	41	NUM
ijassa-157	164	3	)	)	PUNCT
ijassa-157	164	4	generally	generally	ADV
ijassa-157	164	5	,	,	PUNCT
ijassa-157	164	6	the	the	DET
ijassa-157	164	7	miss	miss	ADJ
ijassa-157	164	8	risk	risk	NOUN
ijassa-157	164	9	is	be	AUX
ijassa-157	164	10	more	more	ADV
ijassa-157	164	11	important	important	ADJ
ijassa-157	164	12	that	that	SCONJ
ijassa-157	164	13	the	the	DET
ijassa-157	164	14	false	false	ADJ
ijassa-157	164	15	alarm	alarm	NOUN
ijassa-157	164	16	risk	risk	NOUN
ijassa-157	164	17	,	,	PUNCT
ijassa-157	164	18	so	so	SCONJ
ijassa-157	164	19	that	that	SCONJ
ijassa-157	164	20	wa	wa	PROPN
ijassa-157	164	21	≤	≤	X
ijassa-157	165	1	wb	wb	PROPN
ijassa-157	165	2	.	.	PUNCT
ijassa-157	166	1	if	if	SCONJ
ijassa-157	166	2	the	the	DET
ijassa-157	166	3	sample	sample	NOUN
ijassa-157	166	4	size	size	NOUN
ijassa-157	166	5	of	of	ADP
ijassa-157	166	6	observations	observation	NOUN
ijassa-157	166	7	,	,	PUNCT
ijassa-157	166	8	n	n	PRON
ijassa-157	166	9	is	be	AUX
ijassa-157	166	10	not	not	PART
ijassa-157	166	11	bounded	bound	VERB
ijassa-157	166	12	above	above	ADV
ijassa-157	166	13	,	,	PUNCT
ijassa-157	166	14	then	then	ADV
ijassa-157	166	15	the	the	DET
ijassa-157	166	16	optimal	optimal	ADJ
ijassa-157	166	17	value	value	NOUN
ijassa-157	166	18	n∗	n∗	NOUN
ijassa-157	166	19	of	of	ADP
ijassa-157	166	20	n	n	PRON
ijassa-157	166	21	can	can	AUX
ijassa-157	166	22	be	be	AUX
ijassa-157	166	23	found	find	VERB
ijassa-157	166	24	as	as	ADP
ijassa-157	166	25	n∗	n∗	PROPN
ijassa-157	166	26	=	=	SYM
ijassa-157	166	27	inf	inf	PROPN
ijassa-157	166	28	n	n	X
ijassa-157	166	29	:	:	PUNCT
ijassa-157	166	30	(	(	PUNCT
ijassa-157	166	31	α(h∗;n)+β(h∗;n	α(h∗;n)+β(h∗;n	NOUN
ijassa-157	166	32	,	,	PUNCT
ijassa-157	166	33	q	q	NOUN
ijassa-157	166	34	)	)	PUNCT
ijassa-157	166	35	≤	≤	NOUN
ijassa-157	166	36	ϑ	ϑ	X
ijassa-157	166	37	,	,	PUNCT
ijassa-157	166	38	h∗=	h∗=	PROPN
ijassa-157	166	39	arg	arg	NOUN
ijassa-157	166	40	min	min	PROPN
ijassa-157	166	41	h∈(0,1	h∈(0,1	ADV
ijassa-157	166	42	)	)	PUNCT
ijassa-157	166	43	r(h;n	r(h;n	PROPN
ijassa-157	166	44	,	,	PUNCT
ijassa-157	166	45	q	q	NOUN
ijassa-157	166	46	)	)	PUNCT
ijassa-157	166	47	)	)	PUNCT
ijassa-157	166	48	,	,	PUNCT
ijassa-157	166	49	(	(	PUNCT
ijassa-157	166	50	42	42	NUM
ijassa-157	166	51	)	)	PUNCT
ijassa-157	166	52	where	where	SCONJ
ijassa-157	166	53	ϑ	ϑ	NOUN
ijassa-157	166	54	is	be	AUX
ijassa-157	166	55	a	a	DET
ijassa-157	166	56	preassigned	preassigned	ADJ
ijassa-157	166	57	value	value	NOUN
ijassa-157	166	58	of	of	ADP
ijassa-157	166	59	the	the	DET
ijassa-157	166	60	sum	sum	NOUN
ijassa-157	166	61	of	of	ADP
ijassa-157	166	62	the	the	DET
ijassa-157	166	63	false	false	ADJ
ijassa-157	166	64	alarm	alarm	NOUN
ijassa-157	166	65	risk	risk	NOUN
ijassa-157	166	66	and	and	CCONJ
ijassa-157	166	67	the	the	DET
ijassa-157	166	68	miss	miss	ADJ
ijassa-157	166	69	risk	risk	NOUN
ijassa-157	166	70	.	.	PUNCT
ijassa-157	167	1	3	3	NUM
ijassa-157	167	2	target	target	NOUN
ijassa-157	167	3	signal	signal	NOUN
ijassa-157	167	4	recongnition	recongnition	NOUN
ijassa-157	167	5	suppose	suppose	VERB
ijassa-157	167	6	that	that	SCONJ
ijassa-157	167	7	the	the	DET
ijassa-157	167	8	hypothesis	hypothesis	NOUN
ijassa-157	167	9	h0	h0	NOUN
ijassa-157	167	10	:	:	PUNCT
ijassa-157	167	11	(	(	PUNCT
ijassa-157	167	12	clutter	clutter	NOUN
ijassa-157	167	13	alone	alone	ADV
ijassa-157	167	14	)	)	PUNCT
ijassa-157	167	15	is	be	AUX
ijassa-157	167	16	rejected	reject	VERB
ijassa-157	167	17	.	.	PUNCT
ijassa-157	168	1	then	then	ADV
ijassa-157	168	2	the	the	DET
ijassa-157	168	3	target	target	NOUN
ijassa-157	168	4	(	(	PUNCT
ijassa-157	168	5	signal	signal	NOUN
ijassa-157	168	6	in	in	ADP
ijassa-157	168	7	clutter	clutter	NOUN
ijassa-157	168	8	)	)	PUNCT
ijassa-157	168	9	classification	classification	NOUN
ijassa-157	168	10	problem	problem	NOUN
ijassa-157	168	11	using	use	VERB
ijassa-157	168	12	the	the	DET
ijassa-157	168	13	target	target	NOUN
ijassa-157	168	14	identity	identity	NOUN
ijassa-157	168	15	information	information	NOUN
ijassa-157	168	16	consists	consist	VERB
ijassa-157	168	17	in	in	ADP
ijassa-157	168	18	the	the	DET
ijassa-157	168	19	following	following	NOUN
ijassa-157	168	20	.	.	PUNCT
ijassa-157	169	1	let	let	VERB
ijassa-157	169	2	the	the	DET
ijassa-157	169	3	target	target	NOUN
ijassa-157	169	4	signal	signal	NOUN
ijassa-157	169	5	belong	belong	VERB
ijassa-157	169	6	to	to	ADP
ijassa-157	169	7	one	one	NUM
ijassa-157	169	8	of	of	ADP
ijassa-157	169	9	m	m	PROPN
ijassa-157	169	10	classes	class	NOUN
ijassa-157	169	11	and	and	CCONJ
ijassa-157	169	12	each	each	DET
ijassa-157	169	13	class	class	NOUN
ijassa-157	169	14	has	have	AUX
ijassa-157	169	15	equal	equal	VERB
ijassa-157	169	16	a	a	DET
ijassa-157	169	17	priori	priori	ADJ
ijassa-157	169	18	probability	probability	NOUN
ijassa-157	169	19	.	.	PUNCT
ijassa-157	170	1	there	there	PRON
ijassa-157	170	2	is	be	VERB
ijassa-157	170	3	available	available	ADJ
ijassa-157	170	4	a	a	DET
ijassa-157	170	5	sample	sample	NOUN
ijassa-157	170	6	of	of	ADP
ijassa-157	170	7	radar	radar	NOUN
ijassa-157	170	8	measurements	measurement	NOUN
ijassa-157	170	9	of	of	ADP
ijassa-157	170	10	size	size	NOUN
ijassa-157	170	11	n	n	CCONJ
ijassa-157	170	12	from	from	ADP
ijassa-157	170	13	each	each	DET
ijassa-157	170	14	class	class	NOUN
ijassa-157	170	15	.	.	PUNCT
ijassa-157	171	1	the	the	DET
ijassa-157	171	2	elements	element	NOUN
ijassa-157	171	3	of	of	ADP
ijassa-157	171	4	the	the	DET
ijassa-157	171	5	sample	sample	NOUN
ijassa-157	171	6	from	from	ADP
ijassa-157	171	7	the	the	DET
ijassa-157	171	8	jth	jth	PROPN
ijassa-157	171	9	class	class	NOUN
ijassa-157	171	10	are	be	AUX
ijassa-157	171	11	realizations	realization	NOUN
ijassa-157	171	12	of	of	ADP
ijassa-157	171	13	p	p	NOUN
ijassa-157	171	14	-	-	PUNCT
ijassa-157	171	15	dimensional	dimensional	ADJ
ijassa-157	171	16	random	random	ADJ
ijassa-157	171	17	variables	variable	NOUN
ijassa-157	171	18	si	si	X
ijassa-157	171	19	(	(	PUNCT
ijassa-157	171	20	j	j	NOUN
ijassa-157	171	21	)	)	PUNCT
ijassa-157	171	22	∼	∼	NOUN
ijassa-157	171	23	np	np	INTJ
ijassa-157	171	24	(	(	PUNCT
ijassa-157	171	25	s	s	X
ijassa-157	171	26	(	(	PUNCT
ijassa-157	171	27	j	j	NOUN
ijassa-157	171	28	)	)	PUNCT
ijassa-157	171	29	,	,	PUNCT
ijassa-157	171	30	q	q	PROPN
ijassa-157	171	31	(	(	PUNCT
ijassa-157	171	32	j	j	NOUN
ijassa-157	171	33	)	)	PUNCT
ijassa-157	171	34	)	)	PUNCT
ijassa-157	171	35	,	,	PUNCT
ijassa-157	172	1	i	i	PRON
ijassa-157	172	2	=	=	NOUN
ijassa-157	172	3	1	1	NUM
ijassa-157	172	4	(	(	PUNCT
ijassa-157	172	5	1)n	1)n	NUM
ijassa-157	172	6	,	,	PUNCT
ijassa-157	172	7	138	138	NUM
ijassa-157	172	8	konstantin	konstantin	PROPN
ijassa-157	172	9	n.	n.	PROPN
ijassa-157	172	10	nechval	nechval	PROPN
ijassa-157	172	11	:	:	PUNCT
ijassa-157	172	12	adaptive	adaptive	ADJ
ijassa-157	172	13	cfar	cfar	NOUN
ijassa-157	172	14	tests	test	NOUN
ijassa-157	172	15	for	for	ADP
ijassa-157	172	16	detection	detection	NOUN
ijassa-157	172	17	and	and	CCONJ
ijassa-157	172	18	recognition	recognition	NOUN
ijassa-157	172	19	of	of	ADP
ijassa-157	172	20	target	target	NOUN
ijassa-157	172	21	...	...	PUNCT
ijassa-157	172	22	with	with	ADP
ijassa-157	172	23	unknown	unknown	ADJ
ijassa-157	172	24	parameters	parameter	NOUN
ijassa-157	172	25	s	s	PART
ijassa-157	172	26	(	(	PUNCT
ijassa-157	172	27	j	j	NOUN
ijassa-157	172	28	)	)	PUNCT
ijassa-157	172	29	and	and	CCONJ
ijassa-157	172	30	q	q	PROPN
ijassa-157	172	31	(	(	PUNCT
ijassa-157	172	32	j	j	NOUN
ijassa-157	172	33	)	)	PUNCT
ijassa-157	172	34	for	for	ADP
ijassa-157	172	35	each	each	DET
ijassa-157	172	36	j	j	PROPN
ijassa-157	172	37	∈	∈	PROPN
ijassa-157	172	38	{	{	PUNCT
ijassa-157	172	39	1	1	NUM
ijassa-157	172	40	,	,	PUNCT
ijassa-157	172	41	.	.	PUNCT
ijassa-157	172	42	.	.	PUNCT
ijassa-157	172	43	.	.	PUNCT
ijassa-157	173	1	,	,	PUNCT
ijassa-157	173	2	m	m	VERB
ijassa-157	173	3	}	}	PUNCT
ijassa-157	173	4	.	.	PUNCT
ijassa-157	174	1	we	we	PRON
ijassa-157	174	2	are	be	AUX
ijassa-157	174	3	investigating	investigate	VERB
ijassa-157	174	4	a	a	DET
ijassa-157	174	5	detected	detect	VERB
ijassa-157	174	6	target	target	NOUN
ijassa-157	174	7	signal	signal	NOUN
ijassa-157	174	8	on	on	ADP
ijassa-157	174	9	the	the	DET
ijassa-157	174	10	basis	basis	NOUN
ijassa-157	174	11	of	of	ADP
ijassa-157	174	12	the	the	DET
ijassa-157	174	13	corresponding	corresponding	ADJ
ijassa-157	174	14	sample	sample	NOUN
ijassa-157	174	15	of	of	ADP
ijassa-157	174	16	size	size	NOUN
ijassa-157	174	17	n	n	PROPN
ijassa-157	174	18	of	of	ADP
ijassa-157	174	19	p	p	ADJ
ijassa-157	174	20	-	-	PUNCT
ijassa-157	174	21	dimensional	dimensional	ADJ
ijassa-157	174	22	radar	radar	NOUN
ijassa-157	174	23	measurements	measurement	NOUN
ijassa-157	174	24	ri	ri	NOUN
ijassa-157	175	1	=	=	PUNCT
ijassa-157	175	2	(	(	PUNCT
ijassa-157	175	3	ri1	ri1	PROPN
ijassa-157	175	4	,	,	PUNCT
ijassa-157	175	5	...	...	PUNCT
ijassa-157	175	6	,	,	PUNCT
ijassa-157	175	7	rip	rip	ADJ
ijassa-157	175	8	)	)	PUNCT
ijassa-157	175	9	′	′	NUM
ijassa-157	175	10	,	,	PUNCT
ijassa-157	176	1	i	i	PRON
ijassa-157	176	2	=	=	NOUN
ijassa-157	176	3	1	1	NUM
ijassa-157	176	4	(	(	PUNCT
ijassa-157	176	5	1)n	1)n	NUM
ijassa-157	176	6	,	,	PUNCT
ijassa-157	176	7	where	where	SCONJ
ijassa-157	176	8	ri	ri	NOUN
ijassa-157	176	9	∼	∼	NOUN
ijassa-157	176	10	np	np	INTJ
ijassa-157	176	11	(	(	PUNCT
ijassa-157	176	12	s	s	X
ijassa-157	176	13	,	,	PUNCT
ijassa-157	176	14	q	q	NOUN
ijassa-157	176	15	)	)	PUNCT
ijassa-157	176	16	.	.	PUNCT
ijassa-157	177	1	we	we	PRON
ijassa-157	177	2	postulate	postulate	VERB
ijassa-157	177	3	that	that	SCONJ
ijassa-157	177	4	this	this	DET
ijassa-157	177	5	target	target	NOUN
ijassa-157	177	6	signal	signal	NOUN
ijassa-157	177	7	can	can	AUX
ijassa-157	177	8	be	be	AUX
ijassa-157	177	9	regarded	regard	VERB
ijassa-157	177	10	as	as	ADP
ijassa-157	177	11	a	a	DET
ijassa-157	177	12	random	random	ADJ
ijassa-157	177	13	drawing	drawing	NOUN
ijassa-157	177	14	from	from	ADP
ijassa-157	177	15	one	one	NUM
ijassa-157	177	16	of	of	ADP
ijassa-157	177	17	the	the	DET
ijassa-157	177	18	m	m	NOUN
ijassa-157	177	19	classes	class	NOUN
ijassa-157	177	20	but	but	CCONJ
ijassa-157	177	21	we	we	PRON
ijassa-157	177	22	do	do	AUX
ijassa-157	177	23	not	not	PART
ijassa-157	177	24	know	know	VERB
ijassa-157	177	25	from	from	ADP
ijassa-157	177	26	which	which	PRON
ijassa-157	177	27	one	one	NUM
ijassa-157	177	28	.	.	PUNCT
ijassa-157	178	1	the	the	DET
ijassa-157	178	2	problem	problem	NOUN
ijassa-157	178	3	is	be	AUX
ijassa-157	178	4	to	to	PART
ijassa-157	178	5	classify	classify	VERB
ijassa-157	178	6	a	a	DET
ijassa-157	178	7	detected	detect	VERB
ijassa-157	178	8	target	target	NOUN
ijassa-157	178	9	signal	signal	NOUN
ijassa-157	178	10	as	as	ADP
ijassa-157	178	11	belonging	belong	VERB
ijassa-157	178	12	to	to	ADP
ijassa-157	178	13	one	one	NUM
ijassa-157	178	14	of	of	ADP
ijassa-157	178	15	the	the	DET
ijassa-157	178	16	m	m	NOUN
ijassa-157	178	17	specified	specified	ADJ
ijassa-157	178	18	classes	class	NOUN
ijassa-157	178	19	.	.	PUNCT
ijassa-157	179	1	when	when	SCONJ
ijassa-157	179	2	there	there	PRON
ijassa-157	179	3	is	be	VERB
ijassa-157	179	4	the	the	DET
ijassa-157	179	5	possibility	possibility	NOUN
ijassa-157	179	6	that	that	SCONJ
ijassa-157	179	7	a	a	DET
ijassa-157	179	8	target	target	NOUN
ijassa-157	179	9	signal	signal	NOUN
ijassa-157	179	10	does	do	AUX
ijassa-157	179	11	not	not	PART
ijassa-157	179	12	belong	belong	VERB
ijassa-157	179	13	to	to	ADP
ijassa-157	179	14	any	any	PRON
ijassa-157	179	15	of	of	ADP
ijassa-157	179	16	the	the	DET
ijassa-157	179	17	m	m	NOUN
ijassa-157	179	18	above	above	ADP
ijassa-157	179	19	classes	class	NOUN
ijassa-157	179	20	,	,	PUNCT
ijassa-157	179	21	it	it	PRON
ijassa-157	179	22	is	be	AUX
ijassa-157	179	23	desirable	desirable	ADJ
ijassa-157	179	24	to	to	PART
ijassa-157	179	25	recognize	recognize	VERB
ijassa-157	179	26	this	this	DET
ijassa-157	179	27	case	case	NOUN
ijassa-157	179	28	.	.	PUNCT
ijassa-157	180	1	let	let	VERB
ijassa-157	180	2	ri	ri	NOUN
ijassa-157	180	3	and	and	CCONJ
ijassa-157	180	4	si	si	PROPN
ijassa-157	180	5	(	(	PUNCT
ijassa-157	180	6	j	j	NOUN
ijassa-157	180	7	)	)	PUNCT
ijassa-157	180	8	be	be	VERB
ijassa-157	180	9	the	the	DET
ijassa-157	180	10	ith	ith	ADJ
ijassa-157	180	11	observation	observation	NOUN
ijassa-157	180	12	of	of	ADP
ijassa-157	180	13	the	the	DET
ijassa-157	180	14	target	target	NOUN
ijassa-157	180	15	and	and	CCONJ
ijassa-157	180	16	jth	jth	PROPN
ijassa-157	180	17	class	class	NOUN
ijassa-157	180	18	variable	variable	NOUN
ijassa-157	180	19	,	,	PUNCT
ijassa-157	180	20	respectively	respectively	ADV
ijassa-157	180	21	.	.	PUNCT
ijassa-157	181	1	it	it	PRON
ijassa-157	181	2	is	be	AUX
ijassa-157	181	3	assumed	assume	VERB
ijassa-157	181	4	that	that	SCONJ
ijassa-157	181	5	all	all	DET
ijassa-157	181	6	observation	observation	NOUN
ijassa-157	181	7	vectors	vector	NOUN
ijassa-157	181	8	,	,	PUNCT
ijassa-157	181	9	ri	ri	NOUN
ijassa-157	181	10	=	=	SYM
ijassa-157	181	11	(	(	PUNCT
ijassa-157	181	12	ri1	ri1	PROPN
ijassa-157	181	13	,	,	PUNCT
ijassa-157	181	14	...	...	PUNCT
ijassa-157	181	15	,	,	PUNCT
ijassa-157	181	16	rip	rip	ADJ
ijassa-157	181	17	)	)	PUNCT
ijassa-157	181	18	′	′	NUM
ijassa-157	181	19	,	,	PUNCT
ijassa-157	181	20	si	si	PROPN
ijassa-157	181	21	(	(	PUNCT
ijassa-157	181	22	j	j	PROPN
ijassa-157	181	23	)	)	PUNCT
ijassa-157	181	24	=	=	PUNCT
ijassa-157	181	25	(	(	PUNCT
ijassa-157	181	26	si1	si1	PROPN
ijassa-157	181	27	(	(	PUNCT
ijassa-157	181	28	j	j	NOUN
ijassa-157	181	29	)	)	PUNCT
ijassa-157	181	30	,	,	PUNCT
ijassa-157	181	31	...	...	PUNCT
ijassa-157	181	32	,	,	PUNCT
ijassa-157	181	33	sip	sip	NOUN
ijassa-157	181	34	(	(	PUNCT
ijassa-157	181	35	j	j	NOUN
ijassa-157	181	36	)	)	PUNCT
ijassa-157	181	37	)	)	PUNCT
ijassa-157	182	1	′	′	NUM
ijassa-157	182	2	,	,	PUNCT
ijassa-157	183	1	i	i	PRON
ijassa-157	183	2	=	=	NOUN
ijassa-157	183	3	1	1	NUM
ijassa-157	183	4	(	(	PUNCT
ijassa-157	183	5	1)n	1)n	NUM
ijassa-157	183	6	,	,	PUNCT
ijassa-157	183	7	are	be	AUX
ijassa-157	183	8	independent	independent	ADJ
ijassa-157	183	9	of	of	ADP
ijassa-157	183	10	each	each	DET
ijassa-157	183	11	other	other	ADJ
ijassa-157	183	12	,	,	PUNCT
ijassa-157	183	13	where	where	SCONJ
ijassa-157	183	14	n	n	PRON
ijassa-157	183	15	is	be	AUX
ijassa-157	183	16	a	a	DET
ijassa-157	183	17	number	number	NOUN
ijassa-157	183	18	of	of	ADP
ijassa-157	183	19	paired	pair	VERB
ijassa-157	183	20	observations	observation	NOUN
ijassa-157	183	21	.	.	PUNCT
ijassa-157	184	1	let	let	VERB
ijassa-157	184	2	xi	xi	INTJ
ijassa-157	184	3	(	(	PUNCT
ijassa-157	184	4	j	j	PROPN
ijassa-157	184	5	)	)	PUNCT
ijassa-157	185	1	=	=	SYM
ijassa-157	185	2	ri	ri	PROPN
ijassa-157	185	3	−	−	PROPN
ijassa-157	185	4	si	si	PROPN
ijassa-157	185	5	(	(	PUNCT
ijassa-157	185	6	j	j	PROPN
ijassa-157	185	7	)	)	PUNCT
ijassa-157	185	8	,	,	PUNCT
ijassa-157	186	1	i	i	PRON
ijassa-157	186	2	=	=	NOUN
ijassa-157	186	3	1	1	NUM
ijassa-157	186	4	(	(	PUNCT
ijassa-157	186	5	1)n	1)n	NUM
ijassa-157	186	6	,	,	PUNCT
ijassa-157	186	7	be	be	AUX
ijassa-157	186	8	paired	pair	VERB
ijassa-157	186	9	comparisons	comparison	NOUN
ijassa-157	186	10	leading	lead	VERB
ijassa-157	186	11	to	to	ADP
ijassa-157	186	12	a	a	DET
ijassa-157	186	13	series	series	NOUN
ijassa-157	186	14	of	of	ADP
ijassa-157	186	15	vector	vector	NOUN
ijassa-157	186	16	differences	difference	NOUN
ijassa-157	186	17	.	.	PUNCT
ijassa-157	187	1	thus	thus	ADV
ijassa-157	187	2	,	,	PUNCT
ijassa-157	187	3	for	for	ADP
ijassa-157	187	4	classification	classification	NOUN
ijassa-157	187	5	of	of	ADP
ijassa-157	187	6	a	a	DET
ijassa-157	187	7	detected	detect	VERB
ijassa-157	187	8	target	target	NOUN
ijassa-157	187	9	signal	signal	NOUN
ijassa-157	187	10	as	as	ADP
ijassa-157	187	11	belonging	belong	VERB
ijassa-157	187	12	to	to	ADP
ijassa-157	187	13	the	the	DET
ijassa-157	187	14	jth	jth	PROPN
ijassa-157	187	15	class	class	NOUN
ijassa-157	187	16	,	,	PUNCT
ijassa-157	187	17	it	it	PRON
ijassa-157	187	18	can	can	AUX
ijassa-157	187	19	be	be	AUX
ijassa-157	187	20	obtained	obtain	VERB
ijassa-157	187	21	and	and	CCONJ
ijassa-157	187	22	used	use	VERB
ijassa-157	187	23	a	a	DET
ijassa-157	187	24	sample	sample	NOUN
ijassa-157	187	25	of	of	ADP
ijassa-157	187	26	n	n	CCONJ
ijassa-157	187	27	independent	independent	ADJ
ijassa-157	187	28	observation	observation	NOUN
ijassa-157	187	29	vectors	vector	NOUN
ijassa-157	187	30	x	x	SYM
ijassa-157	187	31	(	(	PUNCT
ijassa-157	187	32	j	j	NOUN
ijassa-157	187	33	)	)	PUNCT
ijassa-157	187	34	=	=	PUNCT
ijassa-157	188	1	(	(	PUNCT
ijassa-157	188	2	x1	x1	PROPN
ijassa-157	188	3	(	(	PUNCT
ijassa-157	188	4	j	j	PROPN
ijassa-157	188	5	)	)	PUNCT
ijassa-157	188	6	,	,	PUNCT
ijassa-157	188	7	...	...	PUNCT
ijassa-157	188	8	,	,	PUNCT
ijassa-157	188	9	xn	xn	PROPN
ijassa-157	188	10	(	(	PUNCT
ijassa-157	188	11	j	j	NOUN
ijassa-157	188	12	)	)	PUNCT
ijassa-157	188	13	)	)	PUNCT
ijassa-157	188	14	,	,	PUNCT
ijassa-157	188	15	j	j	PROPN
ijassa-157	188	16	∈	∈	PROPN
ijassa-157	188	17	{	{	PUNCT
ijassa-157	188	18	1	1	NUM
ijassa-157	188	19	,	,	PUNCT
ijassa-157	188	20	.	.	PUNCT
ijassa-157	188	21	.	.	PUNCT
ijassa-157	188	22	.	.	PUNCT
ijassa-157	189	1	,	,	PUNCT
ijassa-157	189	2	m	m	VERB
ijassa-157	189	3	}	}	PUNCT
ijassa-157	189	4	.	.	PUNCT
ijassa-157	190	1	it	it	PRON
ijassa-157	190	2	is	be	AUX
ijassa-157	190	3	assumed	assume	VERB
ijassa-157	190	4	that	that	SCONJ
ijassa-157	190	5	under	under	ADP
ijassa-157	190	6	h0	h0	PROPN
ijassa-157	190	7	(	(	PUNCT
ijassa-157	190	8	j),xi	j),xi	PROPN
ijassa-157	190	9	(	(	PUNCT
ijassa-157	190	10	j	j	NOUN
ijassa-157	190	11	)	)	PUNCT
ijassa-157	190	12	∼	∼	NOUN
ijassa-157	190	13	np	np	NOUN
ijassa-157	190	14	(	(	PUNCT
ijassa-157	190	15	0,q+q	0,q+q	PROPN
ijassa-157	190	16	(	(	PUNCT
ijassa-157	190	17	j	j	NOUN
ijassa-157	190	18	)	)	PUNCT
ijassa-157	190	19	)	)	PUNCT
ijassa-157	190	20	,	,	PUNCT
ijassa-157	190	21	∀i	∀i	NOUN
ijassa-157	190	22	=	=	SYM
ijassa-157	190	23	1	1	NUM
ijassa-157	190	24	(	(	PUNCT
ijassa-157	190	25	1)n	1)n	NUM
ijassa-157	190	26	,	,	PUNCT
ijassa-157	190	27	where	where	SCONJ
ijassa-157	190	28	q+q	q+q	NUM
ijassa-157	190	29	(	(	PUNCT
ijassa-157	190	30	j	j	NOUN
ijassa-157	190	31	)	)	PUNCT
ijassa-157	190	32	is	be	AUX
ijassa-157	190	33	a	a	DET
ijassa-157	190	34	positive	positive	ADJ
ijassa-157	190	35	definite	definite	ADJ
ijassa-157	190	36	covariance	covariance	NOUN
ijassa-157	190	37	matrix	matrix	NOUN
ijassa-157	190	38	.	.	PUNCT
ijassa-157	191	1	under	under	ADP
ijassa-157	191	2	h1	h1	PROPN
ijassa-157	191	3	(	(	PUNCT
ijassa-157	191	4	j	j	PROPN
ijassa-157	191	5	)	)	PUNCT
ijassa-157	191	6	,	,	PUNCT
ijassa-157	191	7	xi	xi	X
ijassa-157	191	8	(	(	PUNCT
ijassa-157	191	9	j	j	NOUN
ijassa-157	191	10	)	)	PUNCT
ijassa-157	191	11	∼	∼	NOUN
ijassa-157	191	12	np	np	INTJ
ijassa-157	191	13	(	(	PUNCT
ijassa-157	191	14	a	a	DET
ijassa-157	191	15	(	(	PUNCT
ijassa-157	191	16	j	j	NOUN
ijassa-157	191	17	)	)	PUNCT
ijassa-157	191	18	,	,	PUNCT
ijassa-157	191	19	q+q	q+q	NUM
ijassa-157	191	20	(	(	PUNCT
ijassa-157	191	21	j)),∀i	j)),∀i	NOUN
ijassa-157	191	22	=	=	SYM
ijassa-157	191	23	1	1	NUM
ijassa-157	191	24	(	(	PUNCT
ijassa-157	191	25	1)n	1)n	NUM
ijassa-157	191	26	,	,	PUNCT
ijassa-157	191	27	where	where	SCONJ
ijassa-157	191	28	a	a	DET
ijassa-157	191	29	(	(	PUNCT
ijassa-157	191	30	j	j	NOUN
ijassa-157	191	31	)	)	PUNCT
ijassa-157	191	32	=	=	SYM
ijassa-157	191	33	(	(	PUNCT
ijassa-157	191	34	a1	a1	PROPN
ijassa-157	191	35	(	(	PUNCT
ijassa-157	191	36	j	j	NOUN
ijassa-157	191	37	)	)	PUNCT
ijassa-157	191	38	,	,	PUNCT
ijassa-157	191	39	...	...	PUNCT
ijassa-157	191	40	,	,	PUNCT
ijassa-157	191	41	ap	ap	PROPN
ijassa-157	191	42	(	(	PUNCT
ijassa-157	191	43	j	j	NOUN
ijassa-157	191	44	)	)	PUNCT
ijassa-157	191	45	)	)	PUNCT
ijassa-157	191	46	′	′	NUM
ijassa-157	192	1	̸=	̸=	PROPN
ijassa-157	192	2	(	(	PUNCT
ijassa-157	192	3	0	0	NUM
ijassa-157	192	4	,	,	PUNCT
ijassa-157	192	5	...	...	PUNCT
ijassa-157	192	6	,	,	PUNCT
ijassa-157	192	7	0)′	0)′	NOUN
ijassa-157	192	8	is	be	AUX
ijassa-157	192	9	a	a	DET
ijassa-157	192	10	mean	mean	ADJ
ijassa-157	192	11	vector	vector	NOUN
ijassa-157	192	12	.	.	PUNCT
ijassa-157	193	1	for	for	ADP
ijassa-157	193	2	fixed	fixed	ADJ
ijassa-157	193	3	n	n	CCONJ
ijassa-157	193	4	,	,	PUNCT
ijassa-157	193	5	the	the	DET
ijassa-157	193	6	problem	problem	NOUN
ijassa-157	193	7	is	be	AUX
ijassa-157	193	8	to	to	PART
ijassa-157	193	9	construct	construct	VERB
ijassa-157	193	10	a	a	DET
ijassa-157	193	11	test	test	NOUN
ijassa-157	193	12	which	which	PRON
ijassa-157	193	13	consists	consist	VERB
ijassa-157	193	14	of	of	ADP
ijassa-157	193	15	testing	test	VERB
ijassa-157	193	16	the	the	DET
ijassa-157	193	17	null	null	ADJ
ijassa-157	193	18	hypothesis	hypothesis	NOUN
ijassa-157	193	19	h0	h0	NOUN
ijassa-157	193	20	(	(	PUNCT
ijassa-157	193	21	j	j	PROPN
ijassa-157	193	22	)	)	PUNCT
ijassa-157	193	23	:	:	PUNCT
ijassa-157	194	1	xi	xi	X
ijassa-157	194	2	(	(	PUNCT
ijassa-157	194	3	j	j	NOUN
ijassa-157	194	4	)	)	PUNCT
ijassa-157	194	5	∼	∼	NOUN
ijassa-157	194	6	np	np	NOUN
ijassa-157	194	7	(	(	PUNCT
ijassa-157	194	8	0,q+q	0,q+q	PROPN
ijassa-157	194	9	(	(	PUNCT
ijassa-157	194	10	j	j	NOUN
ijassa-157	194	11	)	)	PUNCT
ijassa-157	194	12	)	)	PUNCT
ijassa-157	194	13	,	,	PUNCT
ijassa-157	194	14	∀i	∀i	NOUN
ijassa-157	194	15	=	=	SYM
ijassa-157	194	16	1	1	NUM
ijassa-157	194	17	(	(	PUNCT
ijassa-157	194	18	1)n	1)n	NUM
ijassa-157	194	19	,	,	PUNCT
ijassa-157	194	20	versus	versus	ADP
ijassa-157	194	21	the	the	DET
ijassa-157	194	22	alternative	alternative	ADJ
ijassa-157	194	23	h1	h1	NOUN
ijassa-157	194	24	(	(	PUNCT
ijassa-157	194	25	j	j	NOUN
ijassa-157	194	26	)	)	PUNCT
ijassa-157	194	27	:	:	PUNCT
ijassa-157	194	28	xi	xi	X
ijassa-157	194	29	(	(	PUNCT
ijassa-157	194	30	j	j	NOUN
ijassa-157	194	31	)	)	PUNCT
ijassa-157	194	32	∼	∼	NOUN
ijassa-157	194	33	np	np	INTJ
ijassa-157	194	34	(	(	PUNCT
ijassa-157	194	35	a	a	DET
ijassa-157	194	36	(	(	PUNCT
ijassa-157	194	37	j	j	NOUN
ijassa-157	194	38	)	)	PUNCT
ijassa-157	194	39	,	,	PUNCT
ijassa-157	194	40	q+q	q+q	NUM
ijassa-157	194	41	(	(	PUNCT
ijassa-157	194	42	j	j	NOUN
ijassa-157	194	43	)	)	PUNCT
ijassa-157	194	44	)	)	PUNCT
ijassa-157	194	45	,	,	PUNCT
ijassa-157	194	46	∀i	∀i	NOUN
ijassa-157	194	47	=	=	SYM
ijassa-157	194	48	1	1	NUM
ijassa-157	194	49	(	(	PUNCT
ijassa-157	194	50	1)n	1)n	NUM
ijassa-157	194	51	,	,	PUNCT
ijassa-157	194	52	where	where	SCONJ
ijassa-157	194	53	the	the	DET
ijassa-157	194	54	parameters	parameter	NOUN
ijassa-157	194	55	a	a	DET
ijassa-157	194	56	(	(	PUNCT
ijassa-157	194	57	j	j	NOUN
ijassa-157	194	58	)	)	PUNCT
ijassa-157	194	59	,	,	PUNCT
ijassa-157	194	60	q	q	NOUN
ijassa-157	194	61	and	and	CCONJ
ijassa-157	194	62	q	q	PROPN
ijassa-157	194	63	(	(	PUNCT
ijassa-157	194	64	j	j	NOUN
ijassa-157	194	65	)	)	PUNCT
ijassa-157	194	66	are	be	AUX
ijassa-157	194	67	unknown	unknown	ADJ
ijassa-157	194	68	.	.	PUNCT
ijassa-157	195	1	the	the	DET
ijassa-157	195	2	cfar	cfar	ADJ
ijassa-157	195	3	test	test	NOUN
ijassa-157	195	4	of	of	ADP
ijassa-157	195	5	h0(j	h0(j	NOUN
ijassa-157	195	6	)	)	PUNCT
ijassa-157	195	7	versus	versus	ADP
ijassa-157	195	8	h1	h1	PROPN
ijassa-157	195	9	(	(	PUNCT
ijassa-157	195	10	j	j	PROPN
ijassa-157	195	11	)	)	PUNCT
ijassa-157	195	12	(	(	PUNCT
ijassa-157	195	13	j	j	PROPN
ijassa-157	195	14	∈	∈	PROPN
ijassa-157	195	15	{	{	PUNCT
ijassa-157	195	16	1	1	NUM
ijassa-157	195	17	,	,	PUNCT
ijassa-157	195	18	...	...	PUNCT
ijassa-157	195	19	,	,	PUNCT
ijassa-157	195	20	m	m	NOUN
ijassa-157	195	21	}	}	PUNCT
ijassa-157	195	22	)	)	PUNCT
ijassa-157	195	23	is	be	AUX
ijassa-157	195	24	based	base	VERB
ijassa-157	195	25	on	on	ADP
ijassa-157	195	26	the	the	DET
ijassa-157	195	27	statistic	statistic	NOUN
ijassa-157	195	28	given	give	VERB
ijassa-157	195	29	by	by	ADP
ijassa-157	195	30	(	(	PUNCT
ijassa-157	195	31	23	23	NUM
ijassa-157	195	32	)	)	PUNCT
ijassa-157	195	33	,	,	PUNCT
ijassa-157	195	34	v(j	v(j	NUM
ijassa-157	195	35	)	)	PUNCT
ijassa-157	195	36	=	=	PUNCT
ijassa-157	196	1	[	[	X
ijassa-157	196	2	n(n−	n(n−	PRON
ijassa-157	196	3	p)/p	p)/p	NOUN
ijassa-157	196	4	]	]	X
ijassa-157	196	5	(	(	PUNCT
ijassa-157	196	6	â′(j	â′(j	NOUN
ijassa-157	196	7	)	)	PUNCT
ijassa-157	196	8	[	[	PUNCT
ijassa-157	196	9	ĝ1(j	ĝ1(j	NOUN
ijassa-157	196	10	)	)	PUNCT
ijassa-157	196	11	]	]	SYM
ijassa-157	196	12	−1	−1	NOUN
ijassa-157	196	13	â(j	â(j	NOUN
ijassa-157	196	14	)	)	PUNCT
ijassa-157	196	15	)	)	PUNCT
ijassa-157	196	16	,	,	PUNCT
ijassa-157	196	17	(	(	PUNCT
ijassa-157	196	18	43	43	NUM
ijassa-157	196	19	)	)	PUNCT
ijassa-157	196	20	where	where	SCONJ
ijassa-157	196	21	ĝ1(j	ĝ1(j	NOUN
ijassa-157	196	22	)	)	PUNCT
ijassa-157	196	23	=	=	SYM
ijassa-157	197	1	(	(	PUNCT
ijassa-157	197	2	x	x	X
ijassa-157	197	3	′(j)−	′(j)−	NOUN
ijassa-157	197	4	â(j)c′)(x	â(j)c′)(x	NOUN
ijassa-157	197	5	′(j)−	′(j)−	NOUN
ijassa-157	197	6	â(j)c′)′	â(j)c′)′	PROPN
ijassa-157	197	7	=	=	SYM
ijassa-157	197	8	n∑	n∑	NOUN
ijassa-157	197	9	i=1	i=1	PROPN
ijassa-157	198	1	(	(	PUNCT
ijassa-157	198	2	xi(j)−	xi(j)−	PROPN
ijassa-157	198	3	â(j))(xi(j)−	â(j))(xi(j)−	PROPN
ijassa-157	198	4	â(j))′.	â(j))′.	PROPN
ijassa-157	198	5	(	(	PUNCT
ijassa-157	198	6	44	44	NUM
ijassa-157	198	7	)	)	PUNCT
ijassa-157	198	8	the	the	DET
ijassa-157	198	9	test	test	NOUN
ijassa-157	198	10	of	of	ADP
ijassa-157	198	11	h0	h0	PROPN
ijassa-157	198	12	versus	versus	ADP
ijassa-157	198	13	h1	h1	PROPN
ijassa-157	198	14	,	,	PUNCT
ijassa-157	198	15	based	base	VERB
ijassa-157	198	16	on	on	ADP
ijassa-157	198	17	the	the	DET
ijassa-157	198	18	gmlr	gmlr	NOUN
ijassa-157	198	19	statistic	statistic	NOUN
ijassa-157	198	20	v(j	v(j	NOUN
ijassa-157	198	21	)	)	PUNCT
ijassa-157	198	22	,	,	PUNCT
ijassa-157	198	23	is	be	AUX
ijassa-157	198	24	given	give	VERB
ijassa-157	198	25	by	by	ADP
ijassa-157	198	26	v(j	v(j	NOUN
ijassa-157	198	27	)	)	PUNCT
ijassa-157	198	28	{	{	PUNCT
ijassa-157	198	29	>	>	X
ijassa-157	198	30	h(j	h(j	PROPN
ijassa-157	198	31	)	)	PUNCT
ijassa-157	198	32	,	,	PUNCT
ijassa-157	198	33	then	then	ADV
ijassa-157	198	34	h1(j	h1(j	X
ijassa-157	198	35	)	)	PUNCT
ijassa-157	198	36	(	(	PUNCT
ijassa-157	198	37	targetdoesnotbelongtoclassj	targetdoesnotbelongtoclassj	NOUN
ijassa-157	198	38	)	)	PUNCT
ijassa-157	198	39	,	,	PUNCT
ijassa-157	198	40	≤	≤	ADJ
ijassa-157	198	41	h(j	h(j	NOUN
ijassa-157	198	42	)	)	PUNCT
ijassa-157	198	43	,	,	PUNCT
ijassa-157	198	44	then	then	ADV
ijassa-157	198	45	h0(j	h0(j	X
ijassa-157	198	46	)	)	PUNCT
ijassa-157	198	47	(	(	PUNCT
ijassa-157	198	48	targetbelongstoclassj	targetbelongstoclassj	NOUN
ijassa-157	198	49	)	)	PUNCT
ijassa-157	198	50	,	,	PUNCT
ijassa-157	198	51	(	(	PUNCT
ijassa-157	198	52	45	45	NUM
ijassa-157	198	53	)	)	PUNCT
ijassa-157	198	54	where	where	SCONJ
ijassa-157	198	55	h	h	PROPN
ijassa-157	198	56	(	(	PUNCT
ijassa-157	198	57	j	j	PROPN
ijassa-157	198	58	)	)	PUNCT
ijassa-157	198	59	>	>	X
ijassa-157	198	60	0	0	PUNCT
ijassa-157	198	61	is	be	AUX
ijassa-157	198	62	a	a	DET
ijassa-157	198	63	threshold	threshold	NOUN
ijassa-157	198	64	of	of	ADP
ijassa-157	198	65	the	the	DET
ijassa-157	198	66	test	test	NOUN
ijassa-157	198	67	which	which	PRON
ijassa-157	198	68	is	be	AUX
ijassa-157	198	69	uniquely	uniquely	ADV
ijassa-157	198	70	determined	determined	ADJ
ijassa-157	198	71	for	for	ADP
ijassa-157	198	72	a	a	DET
ijassa-157	198	73	prescribed	prescribed	ADJ
ijassa-157	198	74	level	level	NOUN
ijassa-157	198	75	of	of	ADP
ijassa-157	198	76	significance	significance	NOUN
ijassa-157	198	77	α(j	α(j	NOUN
ijassa-157	198	78	)	)	PUNCT
ijassa-157	198	79	so	so	SCONJ
ijassa-157	198	80	that	that	DET
ijassa-157	198	81	sup	sup	NOUN
ijassa-157	198	82	θ(j)∈θ0(j	θ(j)∈θ0(j	NOUN
ijassa-157	198	83	)	)	PUNCT
ijassa-157	198	84	eθ(j	eθ(j	AUX
ijassa-157	198	85	)	)	PUNCT
ijassa-157	198	86	{	{	PUNCT
ijassa-157	198	87	u(v(j	u(v(j	PROPN
ijassa-157	198	88	)	)	PUNCT
ijassa-157	198	89	)	)	PUNCT
ijassa-157	198	90	}	}	PUNCT
ijassa-157	198	91	=	=	SYM
ijassa-157	198	92	α(j	α(j	NOUN
ijassa-157	198	93	)	)	PUNCT
ijassa-157	198	94	,	,	PUNCT
ijassa-157	198	95	(	(	PUNCT
ijassa-157	198	96	46	46	X
ijassa-157	198	97	)	)	PUNCT
ijassa-157	198	98	advances	advance	NOUN
ijassa-157	198	99	in	in	ADP
ijassa-157	198	100	systems	system	NOUN
ijassa-157	198	101	science	science	NOUN
ijassa-157	198	102	and	and	CCONJ
ijassa-157	198	103	applications	application	NOUN
ijassa-157	198	104	(	(	PUNCT
ijassa-157	198	105	2014	2014	NUM
ijassa-157	198	106	)	)	PUNCT
ijassa-157	198	107	vol.14	vol.14	NOUN
ijassa-157	199	1	no.2	no.2	PROPN
ijassa-157	199	2	139	139	NUM
ijassa-157	199	3	where	where	SCONJ
ijassa-157	199	4	θ	θ	PROPN
ijassa-157	199	5	(	(	PUNCT
ijassa-157	199	6	j	j	PROPN
ijassa-157	199	7	)	)	PUNCT
ijassa-157	199	8	=	=	SYM
ijassa-157	200	1	(	(	PUNCT
ijassa-157	200	2	a	a	DET
ijassa-157	200	3	(	(	PUNCT
ijassa-157	200	4	j	j	NOUN
ijassa-157	200	5	)	)	PUNCT
ijassa-157	200	6	,	,	PUNCT
ijassa-157	200	7	q+q	q+q	NUM
ijassa-157	200	8	(	(	PUNCT
ijassa-157	200	9	j	j	NOUN
ijassa-157	200	10	)	)	PUNCT
ijassa-157	200	11	)	)	PUNCT
ijassa-157	200	12	,	,	PUNCT
ijassa-157	200	13	θ0	θ0	PROPN
ijassa-157	200	14	(	(	PUNCT
ijassa-157	200	15	j	j	NOUN
ijassa-157	200	16	)	)	PUNCT
ijassa-157	201	1	=	=	PRON
ijassa-157	201	2	{	{	PUNCT
ijassa-157	201	3	(	(	PUNCT
ijassa-157	201	4	a	a	DET
ijassa-157	201	5	(	(	PUNCT
ijassa-157	201	6	j	j	NOUN
ijassa-157	201	7	)	)	PUNCT
ijassa-157	201	8	,	,	PUNCT
ijassa-157	201	9	q+q	q+q	NUM
ijassa-157	201	10	(	(	PUNCT
ijassa-157	201	11	j	j	NOUN
ijassa-157	201	12	)	)	PUNCT
ijassa-157	201	13	)	)	PUNCT
ijassa-157	201	14	:	:	PUNCT
ijassa-157	201	15	a	a	DET
ijassa-157	201	16	(	(	PUNCT
ijassa-157	201	17	j	j	NOUN
ijassa-157	201	18	)	)	PUNCT
ijassa-157	201	19	=	=	SYM
ijassa-157	201	20	0	0	NUM
ijassa-157	201	21	,	,	PUNCT
ijassa-157	201	22	(	(	PUNCT
ijassa-157	201	23	q	q	NOUN
ijassa-157	201	24	+	+	NUM
ijassa-157	201	25	q	q	ADJ
ijassa-157	201	26	(	(	PUNCT
ijassa-157	201	27	j	j	NOUN
ijassa-157	201	28	)	)	PUNCT
ijassa-157	201	29	)	)	PUNCT
ijassa-157	202	1	∈	∈	PROPN
ijassa-157	202	2	qp	qp	NOUN
ijassa-157	202	3	}	}	PUNCT
ijassa-157	202	4	,	,	PUNCT
ijassa-157	202	5	u(v(j	u(v(j	PROPN
ijassa-157	202	6	)	)	PUNCT
ijassa-157	202	7	)	)	PUNCT
ijassa-157	203	1	=	=	PRON
ijassa-157	203	2	{	{	PUNCT
ijassa-157	203	3	1	1	NUM
ijassa-157	203	4	,	,	PUNCT
ijassa-157	203	5	v(j	v(j	NOUN
ijassa-157	203	6	)	)	PUNCT
ijassa-157	203	7	>	>	PUNCT
ijassa-157	203	8	h(j	h(j	PROPN
ijassa-157	203	9	)	)	PUNCT
ijassa-157	203	10	(	(	PUNCT
ijassa-157	203	11	h1(j	h1(j	NOUN
ijassa-157	203	12	)	)	PUNCT
ijassa-157	203	13	)	)	PUNCT
ijassa-157	203	14	,	,	PUNCT
ijassa-157	203	15	0	0	NUM
ijassa-157	203	16	,	,	PUNCT
ijassa-157	203	17	v(j	v(j	NOUN
ijassa-157	203	18	)	)	PUNCT
ijassa-157	203	19	≤	≤	NOUN
ijassa-157	203	20	h(j	h(j	NOUN
ijassa-157	203	21	)	)	PUNCT
ijassa-157	203	22	(	(	PUNCT
ijassa-157	203	23	h0(j	h0(j	X
ijassa-157	203	24	)	)	PUNCT
ijassa-157	203	25	)	)	PUNCT
ijassa-157	203	26	.	.	PUNCT
ijassa-157	204	1	(	(	PUNCT
ijassa-157	204	2	47	47	NUM
ijassa-157	204	3	)	)	PUNCT
ijassa-157	204	4	thus	thus	ADV
ijassa-157	204	5	,	,	PUNCT
ijassa-157	204	6	if	if	SCONJ
ijassa-157	204	7	v(j	v(j	NOUN
ijassa-157	204	8	)	)	PUNCT
ijassa-157	204	9	>	>	PUNCT
ijassa-157	204	10	h(j	h(j	PROPN
ijassa-157	204	11	)	)	PUNCT
ijassa-157	204	12	then	then	ADV
ijassa-157	204	13	the	the	DET
ijassa-157	204	14	jth	jth	PROPN
ijassa-157	204	15	target	target	NOUN
ijassa-157	204	16	class	class	NOUN
ijassa-157	204	17	is	be	AUX
ijassa-157	204	18	eliminated	eliminate	VERB
ijassa-157	204	19	from	from	ADP
ijassa-157	204	20	further	further	ADJ
ijassa-157	204	21	consideration	consideration	NOUN
ijassa-157	204	22	.	.	PUNCT
ijassa-157	205	1	if	if	SCONJ
ijassa-157	205	2	(	(	PUNCT
ijassa-157	205	3	m−	m−	PROPN
ijassa-157	205	4	1	1	NUM
ijassa-157	205	5	)	)	PUNCT
ijassa-157	205	6	target	target	NOUN
ijassa-157	205	7	classes	class	NOUN
ijassa-157	205	8	are	be	AUX
ijassa-157	205	9	so	so	ADV
ijassa-157	205	10	eliminated	eliminate	VERB
ijassa-157	205	11	,	,	PUNCT
ijassa-157	205	12	then	then	ADV
ijassa-157	205	13	the	the	DET
ijassa-157	205	14	remaining	remain	VERB
ijassa-157	205	15	class	class	NOUN
ijassa-157	205	16	(	(	PUNCT
ijassa-157	205	17	say	say	INTJ
ijassa-157	205	18	,	,	PUNCT
ijassa-157	205	19	kth	kth	PROPN
ijassa-157	205	20	)	)	PUNCT
ijassa-157	205	21	is	be	AUX
ijassa-157	205	22	the	the	DET
ijassa-157	205	23	one	one	NUM
ijassa-157	205	24	to	to	PART
ijassa-157	205	25	which	which	PRON
ijassa-157	205	26	a	a	DET
ijassa-157	205	27	detected	detect	VERB
ijassa-157	205	28	target	target	NOUN
ijassa-157	205	29	signal	signal	NOUN
ijassa-157	205	30	being	be	AUX
ijassa-157	205	31	classified	classify	VERB
ijassa-157	205	32	belongs	belong	NOUN
ijassa-157	205	33	.	.	PUNCT
ijassa-157	206	1	if	if	SCONJ
ijassa-157	206	2	all	all	DET
ijassa-157	206	3	the	the	DET
ijassa-157	206	4	target	target	NOUN
ijassa-157	206	5	classes	class	NOUN
ijassa-157	206	6	are	be	AUX
ijassa-157	206	7	eliminated	eliminate	VERB
ijassa-157	206	8	from	from	ADP
ijassa-157	206	9	further	further	ADJ
ijassa-157	206	10	consideration	consideration	NOUN
ijassa-157	206	11	,	,	PUNCT
ijassa-157	206	12	we	we	PRON
ijassa-157	206	13	decide	decide	VERB
ijassa-157	206	14	that	that	SCONJ
ijassa-157	206	15	a	a	DET
ijassa-157	206	16	detected	detect	VERB
ijassa-157	206	17	target	target	NOUN
ijassa-157	206	18	signal	signal	NOUN
ijassa-157	206	19	belongs	belong	VERB
ijassa-157	206	20	to	to	ADP
ijassa-157	206	21	the	the	DET
ijassa-157	206	22	(	(	PUNCT
ijassa-157	206	23	m+1)th	m+1)th	NOUN
ijassa-157	206	24	class	class	NOUN
ijassa-157	206	25	whose	whose	DET
ijassa-157	206	26	distribution	distribution	NOUN
ijassa-157	206	27	is	be	AUX
ijassa-157	206	28	unspecified	unspecified	ADJ
ijassa-157	206	29	.	.	PUNCT
ijassa-157	207	1	if	if	SCONJ
ijassa-157	207	2	the	the	DET
ijassa-157	207	3	set	set	NOUN
ijassa-157	207	4	of	of	ADP
ijassa-157	207	5	target	target	NOUN
ijassa-157	207	6	classes	class	NOUN
ijassa-157	207	7	not	not	PART
ijassa-157	207	8	yet	yet	ADV
ijassa-157	207	9	eliminated	eliminate	VERB
ijassa-157	207	10	has	have	VERB
ijassa-157	207	11	more	more	ADJ
ijassa-157	207	12	than	than	ADP
ijassa-157	207	13	one	one	NUM
ijassa-157	207	14	element	element	NOUN
ijassa-157	207	15	,	,	PUNCT
ijassa-157	207	16	then	then	ADV
ijassa-157	207	17	we	we	PRON
ijassa-157	207	18	declare	declare	VERB
ijassa-157	207	19	that	that	SCONJ
ijassa-157	207	20	a	a	DET
ijassa-157	207	21	detected	detect	VERB
ijassa-157	207	22	target	target	NOUN
ijassa-157	207	23	signal	signal	NOUN
ijassa-157	207	24	belongs	belong	VERB
ijassa-157	207	25	to	to	ADP
ijassa-157	207	26	the	the	DET
ijassa-157	207	27	class	class	NOUN
ijassa-157	207	28	j∗	j∗	NOUN
ijassa-157	207	29	if	if	SCONJ
ijassa-157	207	30	j∗	j∗	PROPN
ijassa-157	207	31	=	=	PUNCT
ijassa-157	207	32	arg	arg	NOUN
ijassa-157	207	33	max	max	PROPN
ijassa-157	207	34	j∈d	j∈d	PROPN
ijassa-157	207	35	(	(	PUNCT
ijassa-157	207	36	h(j)−	h(j)−	PROPN
ijassa-157	207	37	v(j	v(j	PROPN
ijassa-157	207	38	)	)	PUNCT
ijassa-157	207	39	)	)	PUNCT
ijassa-157	207	40	,	,	PUNCT
ijassa-157	207	41	(	(	PUNCT
ijassa-157	207	42	48	48	NUM
ijassa-157	207	43	)	)	PUNCT
ijassa-157	207	44	where	where	SCONJ
ijassa-157	207	45	d	d	NOUN
ijassa-157	207	46	is	be	AUX
ijassa-157	207	47	the	the	DET
ijassa-157	207	48	set	set	NOUN
ijassa-157	207	49	of	of	ADP
ijassa-157	207	50	target	target	NOUN
ijassa-157	207	51	classes	class	NOUN
ijassa-157	207	52	not	not	PART
ijassa-157	207	53	yet	yet	ADV
ijassa-157	207	54	eliminated	eliminate	VERB
ijassa-157	207	55	by	by	ADP
ijassa-157	207	56	the	the	DET
ijassa-157	207	57	above	above	ADJ
ijassa-157	207	58	test	test	NOUN
ijassa-157	207	59	.	.	PUNCT
ijassa-157	208	1	now	now	ADV
ijassa-157	208	2	consider	consider	VERB
ijassa-157	208	3	the	the	DET
ijassa-157	208	4	situation	situation	NOUN
ijassa-157	208	5	in	in	ADP
ijassa-157	208	6	which	which	PRON
ijassa-157	208	7	a	a	DET
ijassa-157	208	8	detected	detect	VERB
ijassa-157	208	9	target	target	NOUN
ijassa-157	208	10	signal	signal	NOUN
ijassa-157	208	11	s	s	PART
ijassa-157	208	12	is	be	AUX
ijassa-157	208	13	related	relate	VERB
ijassa-157	208	14	to	to	ADP
ijassa-157	208	15	the	the	DET
ijassa-157	208	16	true	true	ADJ
ijassa-157	208	17	target	target	NOUN
ijassa-157	208	18	signal	signal	NOUN
ijassa-157	208	19	of	of	ADP
ijassa-157	208	20	the	the	DET
ijassa-157	208	21	jth	jth	PROPN
ijassa-157	208	22	class	class	PROPN
ijassa-157	208	23	,	,	PUNCT
ijassa-157	208	24	s(j	s(j	PROPN
ijassa-157	208	25	)	)	PUNCT
ijassa-157	208	26	,	,	PUNCT
ijassa-157	208	27	by	by	ADP
ijassa-157	208	28	s	s	NOUN
ijassa-157	208	29	=	=	NOUN
ijassa-157	208	30	us(j	us(j	NOUN
ijassa-157	208	31	)	)	PUNCT
ijassa-157	209	1	=	=	SYM
ijassa-157	209	2	u(s1(j	u(s1(j	NOUN
ijassa-157	209	3	)	)	PUNCT
ijassa-157	209	4	,	,	PUNCT
ijassa-157	209	5	...	...	PUNCT
ijassa-157	209	6	sp(j	sp(j	NUM
ijassa-157	209	7	)	)	PUNCT
ijassa-157	209	8	)	)	PUNCT
ijassa-157	210	1	′	′	NOUN
ijassa-157	210	2	,	,	PUNCT
ijassa-157	210	3	j	j	PROPN
ijassa-157	210	4	∈	∈	PROPN
ijassa-157	210	5	{	{	PUNCT
ijassa-157	210	6	1	1	NUM
ijassa-157	210	7	,	,	PUNCT
ijassa-157	210	8	...	...	PUNCT
ijassa-157	210	9	,	,	PUNCT
ijassa-157	210	10	m	m	VERB
ijassa-157	210	11	}	}	PUNCT
ijassa-157	210	12	(	(	PUNCT
ijassa-157	210	13	49	49	NUM
ijassa-157	210	14	)	)	PUNCT
ijassa-157	210	15	where	where	SCONJ
ijassa-157	210	16	ν	ν	NOUN
ijassa-157	210	17	is	be	AUX
ijassa-157	210	18	a	a	DET
ijassa-157	210	19	scalar	scalar	ADJ
ijassa-157	210	20	amplitude	amplitude	NOUN
ijassa-157	210	21	parameter	parameter	NOUN
ijassa-157	210	22	.	.	PUNCT
ijassa-157	211	1	it	it	PRON
ijassa-157	211	2	is	be	AUX
ijassa-157	211	3	assumed	assume	VERB
ijassa-157	211	4	that	that	SCONJ
ijassa-157	211	5	the	the	DET
ijassa-157	211	6	target	target	NOUN
ijassa-157	211	7	signal	signal	NOUN
ijassa-157	211	8	vectors	vector	NOUN
ijassa-157	211	9	s(j	s(j	PROPN
ijassa-157	211	10	)	)	PUNCT
ijassa-157	211	11	,	,	PUNCT
ijassa-157	211	12	j	j	PROPN
ijassa-157	211	13	=	=	SYM
ijassa-157	211	14	1(1)m	1(1)m	NUM
ijassa-157	211	15	,	,	PUNCT
ijassa-157	211	16	are	be	AUX
ijassa-157	211	17	known	know	VERB
ijassa-157	211	18	.	.	PUNCT
ijassa-157	212	1	the	the	DET
ijassa-157	212	2	generalized	generalized	ADJ
ijassa-157	212	3	maximum	maximum	ADJ
ijassa-157	212	4	likelihood	likelihood	NOUN
ijassa-157	212	5	ratio	ratio	NOUN
ijassa-157	212	6	statistics	statistic	NOUN
ijassa-157	212	7	for	for	ADP
ijassa-157	212	8	this	this	DET
ijassa-157	212	9	recognition	recognition	NOUN
ijassa-157	212	10	problem	problem	NOUN
ijassa-157	212	11	are	be	AUX
ijassa-157	212	12	given	give	VERB
ijassa-157	212	13	by	by	ADP
ijassa-157	212	14	max	max	PROPN
ijassa-157	212	15	υ	υ	PROPN
ijassa-157	212	16	{	{	PUNCT
ijassa-157	212	17	max	max	PROPN
ijassa-157	212	18	q	q	PROPN
ijassa-157	212	19	lh1(j)(x	lh1(j)(x	PROPN
ijassa-157	212	20	;	;	PUNCT
ijassa-157	212	21	υ	υ	NOUN
ijassa-157	212	22	,	,	PUNCT
ijassa-157	212	23	q	q	NOUN
ijassa-157	212	24	)	)	PUNCT
ijassa-157	212	25	}	}	PUNCT
ijassa-157	212	26	/	/	SYM
ijassa-157	212	27	max	max	PROPN
ijassa-157	212	28	q	q	PROPN
ijassa-157	212	29	lh0(j)(x;q	lh0(j)(x;q	PROPN
ijassa-157	212	30	)	)	PUNCT
ijassa-157	212	31	,	,	PUNCT
ijassa-157	212	32	(	(	PUNCT
ijassa-157	212	33	50	50	NUM
ijassa-157	212	34	)	)	PUNCT
ijassa-157	212	35	where	where	SCONJ
ijassa-157	212	36	lh0(j)(x;q)=	lh0(j)(x;q)=	PROPN
ijassa-157	212	37	(	(	PUNCT
ijassa-157	212	38	2π)−np/2|q|−n/2	2π)−np/2|q|−n/2	NUM
ijassa-157	212	39	exp	exp	NOUN
ijassa-157	212	40	(	(	PUNCT
ijassa-157	212	41	−	−	PROPN
ijassa-157	212	42	n∑	n∑	NOUN
ijassa-157	212	43	i=1	i=1	PROPN
ijassa-157	212	44	x′iq	x′iq	PROPN
ijassa-157	213	1	−1xi/2	−1xi/2	NOUN
ijassa-157	213	2	)	)	PUNCT
ijassa-157	213	3	,	,	PUNCT
ijassa-157	213	4	(	(	PUNCT
ijassa-157	213	5	51	51	NUM
ijassa-157	213	6	)	)	PUNCT
ijassa-157	213	7	lh1(j)(x	lh1(j)(x	PROPN
ijassa-157	213	8	;	;	PUNCT
ijassa-157	213	9	υ	υ	NOUN
ijassa-157	213	10	,	,	PUNCT
ijassa-157	213	11	q)=	q)=	ADV
ijassa-157	213	12	(	(	PUNCT
ijassa-157	213	13	2π)−np/2|q|−n/2	2π)−np/2|q|−n/2	NUM
ijassa-157	213	14	exp	exp	NOUN
ijassa-157	213	15	(	(	PUNCT
ijassa-157	213	16	−	−	PROPN
ijassa-157	213	17	n∑	n∑	NOUN
ijassa-157	213	18	i=1	i=1	PROPN
ijassa-157	214	1	(	(	PUNCT
ijassa-157	214	2	xi	xi	ADP
ijassa-157	214	3	−	−	PROPN
ijassa-157	214	4	υs(j))′q−1(xi	υs(j))′q−1(xi	PROPN
ijassa-157	214	5	−	−	PROPN
ijassa-157	214	6	υs(j))/2	υs(j))/2	PROPN
ijassa-157	214	7	)	)	PUNCT
ijassa-157	214	8	(	(	PUNCT
ijassa-157	214	9	52	52	NUM
ijassa-157	214	10	)	)	PUNCT
ijassa-157	214	11	are	be	AUX
ijassa-157	214	12	the	the	DET
ijassa-157	214	13	likelihood	likelihood	NOUN
ijassa-157	214	14	functions	function	NOUN
ijassa-157	214	15	under	under	ADP
ijassa-157	214	16	h0(j	h0(j	NOUN
ijassa-157	214	17	)	)	PUNCT
ijassa-157	214	18	and	and	CCONJ
ijassa-157	214	19	h1(j	h1(j	PROPN
ijassa-157	214	20	)	)	PUNCT
ijassa-157	214	21	,	,	PUNCT
ijassa-157	214	22	j	j	PROPN
ijassa-157	214	23	∈	∈	PROPN
ijassa-157	214	24	{	{	PUNCT
ijassa-157	214	25	1	1	NUM
ijassa-157	214	26	,	,	PUNCT
ijassa-157	214	27	.	.	PUNCT
ijassa-157	214	28	.	.	PUNCT
ijassa-157	214	29	.	.	PUNCT
ijassa-157	215	1	,	,	PUNCT
ijassa-157	215	2	m	m	VERB
ijassa-157	215	3	}	}	PUNCT
ijassa-157	215	4	,	,	PUNCT
ijassa-157	215	5	respectively	respectively	ADV
ijassa-157	215	6	,	,	PUNCT
ijassa-157	215	7	and	and	CCONJ
ijassa-157	215	8	max	max	PROPN
ijassa-157	215	9	υ	υ	PROPN
ijassa-157	215	10	{	{	PUNCT
ijassa-157	215	11	max	max	PROPN
ijassa-157	215	12	q	q	PROPN
ijassa-157	215	13	lh1(j)(x	lh1(j)(x	PROPN
ijassa-157	215	14	;	;	PUNCT
ijassa-157	215	15	υ	υ	NOUN
ijassa-157	215	16	,	,	PUNCT
ijassa-157	215	17	q	q	NOUN
ijassa-157	215	18	)	)	PUNCT
ijassa-157	215	19	}	}	PUNCT
ijassa-157	215	20	=	=	SYM
ijassa-157	215	21	max	max	PROPN
ijassa-157	215	22	υ	υ	PROPN
ijassa-157	215	23	1	1	NUM
ijassa-157	215	24	(	(	PUNCT
ijassa-157	215	25	2π)np/2	2π)np/2	VERB
ijassa-157	215	26	∣∣∣	∣∣∣	ADJ
ijassa-157	215	27	⌢	⌢	NUM
ijassa-157	215	28	q1(j	q1(j	NUM
ijassa-157	215	29	)	)	PUNCT
ijassa-157	215	30	∣∣∣n/2	∣∣∣n/2	NOUN
ijassa-157	215	31	exp	exp	NOUN
ijassa-157	215	32	(	(	PUNCT
ijassa-157	215	33	−np	−np	PROPN
ijassa-157	215	34	2	2	NUM
ijassa-157	215	35	)	)	PUNCT
ijassa-157	215	36	,	,	PUNCT
ijassa-157	215	37	(	(	PUNCT
ijassa-157	215	38	53	53	NUM
ijassa-157	215	39	)	)	PUNCT
ijassa-157	215	40	140	140	NUM
ijassa-157	215	41	konstantin	konstantin	PROPN
ijassa-157	215	42	n.	n.	PROPN
ijassa-157	215	43	nechval	nechval	PROPN
ijassa-157	215	44	:	:	PUNCT
ijassa-157	215	45	adaptive	adaptive	ADJ
ijassa-157	215	46	cfar	cfar	NOUN
ijassa-157	215	47	tests	test	NOUN
ijassa-157	215	48	for	for	ADP
ijassa-157	215	49	detection	detection	NOUN
ijassa-157	215	50	and	and	CCONJ
ijassa-157	215	51	recognition	recognition	NOUN
ijassa-157	215	52	of	of	ADP
ijassa-157	215	53	target	target	NOUN
ijassa-157	215	54	...	...	PUNCT
ijassa-157	216	1	max	max	PROPN
ijassa-157	216	2	q	q	PROPN
ijassa-157	216	3	lh0(j)(x;q	lh0(j)(x;q	PROPN
ijassa-157	216	4	)	)	PUNCT
ijassa-157	216	5	=	=	SYM
ijassa-157	216	6	1	1	NUM
ijassa-157	216	7	(	(	PUNCT
ijassa-157	216	8	2π)np/2	2π)np/2	VERB
ijassa-157	216	9	∣∣∣	∣∣∣	ADJ
ijassa-157	216	10	⌢	⌢	NUM
ijassa-157	216	11	q0	q0	ADJ
ijassa-157	216	12	∣∣∣n/2	∣∣∣n/2	NOUN
ijassa-157	216	13	exp	exp	NOUN
ijassa-157	216	14	(	(	PUNCT
ijassa-157	216	15	−np	−np	PROPN
ijassa-157	216	16	2	2	NUM
ijassa-157	216	17	)	)	PUNCT
ijassa-157	216	18	.	.	PUNCT
ijassa-157	217	1	(	(	PUNCT
ijassa-157	217	2	54	54	NUM
ijassa-157	217	3	)	)	PUNCT
ijassa-157	217	4	the	the	DET
ijassa-157	217	5	well	well	ADV
ijassa-157	217	6	-	-	PUNCT
ijassa-157	217	7	known	know	VERB
ijassa-157	217	8	maximum	maximum	ADJ
ijassa-157	217	9	likelihood	likelihood	NOUN
ijassa-157	217	10	estimates	estimate	NOUN
ijassa-157	217	11	(	(	PUNCT
ijassa-157	217	12	mles	mle	NOUN
ijassa-157	217	13	)	)	PUNCT
ijassa-157	217	14	of	of	ADP
ijassa-157	217	15	the	the	DET
ijassa-157	217	16	unknown	unknown	ADJ
ijassa-157	217	17	covariance	covariance	NOUN
ijassa-157	217	18	matrix	matrix	NOUN
ijassa-157	217	19	q	q	NOUN
ijassa-157	217	20	under	under	ADP
ijassa-157	217	21	the	the	DET
ijassa-157	217	22	respective	respective	ADJ
ijassa-157	217	23	hypotheses	hypothesis	NOUN
ijassa-157	217	24	,	,	PUNCT
ijassa-157	217	25	h0(j	h0(j	X
ijassa-157	217	26	)	)	PUNCT
ijassa-157	217	27	and	and	CCONJ
ijassa-157	217	28	h1(j	h1(j	PROPN
ijassa-157	217	29	)	)	PUNCT
ijassa-157	217	30	,	,	PUNCT
ijassa-157	217	31	are	be	AUX
ijassa-157	217	32	given	give	VERB
ijassa-157	217	33	by	by	ADP
ijassa-157	217	34	⌢	⌢	NUM
ijassa-157	217	35	q0	q0	NOUN
ijassa-157	217	36	=	=	SYM
ijassa-157	217	37	1	1	NUM
ijassa-157	217	38	n	n	NUM
ijassa-157	217	39	n∑	n∑	NOUN
ijassa-157	217	40	i=1	i=1	PROPN
ijassa-157	217	41	xix	xix	NOUN
ijassa-157	217	42	′	′	NUM
ijassa-157	218	1	i	i	NOUN
ijassa-157	218	2	=	=	NOUN
ijassa-157	219	1	1	1	NUM
ijassa-157	219	2	n	n	NUM
ijassa-157	219	3	xx	xx	NUM
ijassa-157	219	4	′	′	NUM
ijassa-157	219	5	,	,	PUNCT
ijassa-157	219	6	(	(	PUNCT
ijassa-157	219	7	55	55	NUM
ijassa-157	219	8	)	)	PUNCT
ijassa-157	219	9	⌢	⌢	NUM
ijassa-157	219	10	q1(j	q1(j	PROPN
ijassa-157	219	11	)	)	PUNCT
ijassa-157	219	12	=	=	SYM
ijassa-157	220	1	1	1	NUM
ijassa-157	220	2	n	n	NUM
ijassa-157	220	3	n∑	n∑	NOUN
ijassa-157	220	4	i=1	i=1	PROPN
ijassa-157	220	5	(	(	PUNCT
ijassa-157	220	6	xi	xi	ADP
ijassa-157	220	7	−	−	PROPN
ijassa-157	221	1	υs(j))(xi	υs(j))(xi	NOUN
ijassa-157	221	2	−	−	PROPN
ijassa-157	221	3	υs(j))′	υs(j))′	NOUN
ijassa-157	222	1	=	=	SYM
ijassa-157	222	2	1	1	NUM
ijassa-157	222	3	n	n	NOUN
ijassa-157	222	4	(	(	PUNCT
ijassa-157	222	5	x	x	X
ijassa-157	222	6	−	−	PROPN
ijassa-157	222	7	υs(j)c′)(x	υs(j)c′)(x	PROPN
ijassa-157	222	8	−	−	PROPN
ijassa-157	222	9	υs(j)c′)′.	υs(j)c′)′.	PROPN
ijassa-157	222	10	(	(	PUNCT
ijassa-157	222	11	56	56	NUM
ijassa-157	222	12	)	)	PUNCT
ijassa-157	222	13	after	after	ADP
ijassa-157	222	14	several	several	ADJ
ijassa-157	222	15	algebraic	algebraic	ADJ
ijassa-157	222	16	manipulations	manipulation	NOUN
ijassa-157	222	17	,	,	PUNCT
ijassa-157	222	18	(	(	PUNCT
ijassa-157	222	19	28	28	NUM
ijassa-157	222	20	)	)	PUNCT
ijassa-157	222	21	reduces	reduce	VERB
ijassa-157	222	22	to	to	ADP
ijassa-157	222	23	the	the	DET
ijassa-157	222	24	following	follow	VERB
ijassa-157	222	25	clutter	clutter	NOUN
ijassa-157	222	26	-	-	PUNCT
ijassa-157	222	27	adaptive	adaptive	ADJ
ijassa-157	222	28	test	test	NOUN
ijassa-157	222	29	of	of	ADP
ijassa-157	222	30	detection	detection	NOUN
ijassa-157	222	31	of	of	ADP
ijassa-157	222	32	the	the	DET
ijassa-157	222	33	jth	jth	PROPN
ijassa-157	222	34	target	target	PROPN
ijassa-157	222	35	signal	signal	NOUN
ijassa-157	222	36	,	,	PUNCT
ijassa-157	222	37	j	j	PROPN
ijassa-157	222	38	∈	∈	PROPN
ijassa-157	222	39	{	{	PUNCT
ijassa-157	222	40	1	1	NUM
ijassa-157	222	41	,	,	PUNCT
ijassa-157	222	42	.	.	PUNCT
ijassa-157	222	43	.	.	PUNCT
ijassa-157	222	44	.	.	PUNCT
ijassa-157	223	1	,	,	PUNCT
ijassa-157	223	2	m	m	VERB
ijassa-157	223	3	}	}	PUNCT
ijassa-157	223	4	:	:	PUNCT
ijassa-157	223	5	{	{	PUNCT
ijassa-157	223	6	>	>	X
ijassa-157	223	7	h(j	h(j	PROPN
ijassa-157	223	8	)	)	PUNCT
ijassa-157	223	9	,	,	PUNCT
ijassa-157	223	10	then	then	ADV
ijassa-157	223	11	h1(j	h1(j	PROPN
ijassa-157	223	12	)	)	PUNCT
ijassa-157	223	13	,	,	PUNCT
ijassa-157	223	14	≤	≤	ADJ
ijassa-157	223	15	h(j	h(j	NOUN
ijassa-157	223	16	)	)	PUNCT
ijassa-157	223	17	,	,	PUNCT
ijassa-157	223	18	then	then	ADV
ijassa-157	223	19	h0(j	h0(j	NOUN
ijassa-157	223	20	)	)	PUNCT
ijassa-157	223	21	,	,	PUNCT
ijassa-157	223	22	(	(	PUNCT
ijassa-157	223	23	57	57	NUM
ijassa-157	223	24	)	)	PUNCT
ijassa-157	223	25	where	where	SCONJ
ijassa-157	223	26	z(j	z(j	NOUN
ijassa-157	223	27	)	)	PUNCT
ijassa-157	224	1	=	=	PUNCT
ijassa-157	225	1	[	[	X
ijassa-157	225	2	s′(j)(xx	s′(j)(xx	NOUN
ijassa-157	225	3	′)−1xc	′)−1xc	X
ijassa-157	225	4	]	]	X
ijassa-157	225	5	2	2	NUM
ijassa-157	225	6	[	[	X
ijassa-157	225	7	s′(j)(xx	s′(j)(xx	ADJ
ijassa-157	225	8	′)−1s(j)][1−	′)−1s(j)][1−	PUNCT
ijassa-157	225	9	c′x	c′x	ADP
ijassa-157	225	10	′(xx	′(xx	PROPN
ijassa-157	225	11	′)−1xc	′)−1xc	X
ijassa-157	225	12	]	]	PUNCT
ijassa-157	225	13	,	,	PUNCT
ijassa-157	225	14	(	(	PUNCT
ijassa-157	225	15	58	58	NUM
ijassa-157	225	16	)	)	PUNCT
ijassa-157	225	17	h(j	h(j	PROPN
ijassa-157	225	18	)	)	PUNCT
ijassa-157	225	19	>	>	X
ijassa-157	225	20	0	0	PUNCT
ijassa-157	225	21	is	be	AUX
ijassa-157	225	22	a	a	DET
ijassa-157	225	23	threshold	threshold	NOUN
ijassa-157	225	24	of	of	ADP
ijassa-157	225	25	the	the	DET
ijassa-157	225	26	test	test	NOUN
ijassa-157	225	27	which	which	PRON
ijassa-157	225	28	is	be	AUX
ijassa-157	225	29	uniquely	uniquely	ADV
ijassa-157	225	30	determined	determined	ADJ
ijassa-157	225	31	for	for	ADP
ijassa-157	225	32	a	a	DET
ijassa-157	225	33	prescribed	prescribed	ADJ
ijassa-157	225	34	level	level	NOUN
ijassa-157	225	35	of	of	ADP
ijassa-157	225	36	significance	significance	NOUN
ijassa-157	225	37	α(j	α(j	NOUN
ijassa-157	225	38	)	)	PUNCT
ijassa-157	225	39	so	so	SCONJ
ijassa-157	225	40	that	that	SCONJ
ijassa-157	225	41	the	the	DET
ijassa-157	225	42	probability	probability	NOUN
ijassa-157	225	43	of	of	ADP
ijassa-157	225	44	a	a	DET
ijassa-157	225	45	false	false	ADJ
ijassa-157	225	46	alarm	alarm	NOUN
ijassa-157	225	47	is	be	AUX
ijassa-157	225	48	equal	equal	ADJ
ijassa-157	225	49	to	to	ADP
ijassa-157	225	50	α(j	α(j	NOUN
ijassa-157	225	51	)	)	PUNCT
ijassa-157	225	52	.	.	PUNCT
ijassa-157	226	1	theorem	theorem	ADJ
ijassa-157	226	2	6	6	NUM
ijassa-157	226	3	(	(	PUNCT
ijassa-157	226	4	pdf	pdf	NOUN
ijassa-157	226	5	of	of	ADP
ijassa-157	226	6	the	the	DET
ijassa-157	226	7	gmlr	gmlr	NOUN
ijassa-157	226	8	statistic	statistic	NOUN
ijassa-157	226	9	v(j	v(j	NOUN
ijassa-157	226	10	)	)	PUNCT
ijassa-157	226	11	)	)	PUNCT
ijassa-157	226	12	.	.	PUNCT
ijassa-157	227	1	the	the	DET
ijassa-157	227	2	probability	probability	NOUN
ijassa-157	227	3	density	density	NOUN
ijassa-157	227	4	function	function	NOUN
ijassa-157	227	5	of	of	ADP
ijassa-157	227	6	v(j	v(j	NOUN
ijassa-157	227	7	)	)	PUNCT
ijassa-157	227	8	under	under	ADP
ijassa-157	227	9	hypothesis	hypothesis	NOUN
ijassa-157	227	10	h1(j	h1(j	PROPN
ijassa-157	227	11	)	)	PUNCT
ijassa-157	227	12	is	be	AUX
ijassa-157	227	13	given	give	VERB
ijassa-157	227	14	as	as	SCONJ
ijassa-157	227	15	follows	follow	VERB
ijassa-157	227	16	:	:	PUNCT
ijassa-157	227	17	fh1(j)(v(j);n	fh1(j)(v(j);n	NOUN
ijassa-157	227	18	,	,	PUNCT
ijassa-157	227	19	q(j	q(j	PROPN
ijassa-157	227	20	)	)	PUNCT
ijassa-157	227	21	)	)	PUNCT
ijassa-157	228	1	=	=	PUNCT
ijassa-157	229	1	1∫	1∫	NUM
ijassa-157	229	2	0	0	NUM
ijassa-157	229	3	f(v(j);g	f(v(j);g	PROPN
ijassa-157	229	4	,	,	PUNCT
ijassa-157	229	5	n	n	CCONJ
ijassa-157	229	6	,	,	PUNCT
ijassa-157	229	7	q(j))f(g;n)dg	q(j))f(g;n)dg	NOUN
ijassa-157	229	8	,	,	PUNCT
ijassa-157	229	9	(	(	PUNCT
ijassa-157	229	10	59	59	NUM
ijassa-157	229	11	)	)	PUNCT
ijassa-157	229	12	where	where	SCONJ
ijassa-157	229	13	f(g;n	f(g;n	NOUN
ijassa-157	229	14	)	)	PUNCT
ijassa-157	229	15	=	=	SYM
ijassa-157	229	16	γ	γ	X
ijassa-157	229	17	(	(	PUNCT
ijassa-157	229	18	n−1	n−1	PROPN
ijassa-157	229	19	2	2	NUM
ijassa-157	229	20	)	)	PUNCT
ijassa-157	229	21	γ	γ	PROPN
ijassa-157	229	22	(	(	PUNCT
ijassa-157	229	23	n−p	n−p	PROPN
ijassa-157	229	24	2	2	NUM
ijassa-157	229	25	)	)	PUNCT
ijassa-157	229	26	γ	γ	PROPN
ijassa-157	229	27	(	(	PUNCT
ijassa-157	229	28	p−1	p−1	PROPN
ijassa-157	229	29	2	2	NUM
ijassa-157	229	30	)	)	PUNCT
ijassa-157	229	31	(	(	PUNCT
ijassa-157	229	32	1−	1−	NUM
ijassa-157	229	33	g	g	NOUN
ijassa-157	229	34	)	)	PUNCT
ijassa-157	229	35	p−3	p−3	NOUN
ijassa-157	229	36	2	2	NUM
ijassa-157	229	37	g	g	NOUN
ijassa-157	229	38	n−p−2	n−p−2	NOUN
ijassa-157	229	39	2	2	NUM
ijassa-157	229	40	,	,	PUNCT
ijassa-157	229	41	(	(	PUNCT
ijassa-157	229	42	60	60	NUM
ijassa-157	229	43	)	)	PUNCT
ijassa-157	229	44	for	for	ADP
ijassa-157	229	45	0	0	NUM
ijassa-157	229	46	≤	≤	NOUN
ijassa-157	229	47	g	g	NOUN
ijassa-157	229	48	≤	≤	NUM
ijassa-157	229	49	1	1	NUM
ijassa-157	229	50	,	,	PUNCT
ijassa-157	229	51	and	and	CCONJ
ijassa-157	229	52	f(v(j	f(v(j	PROPN
ijassa-157	229	53	)	)	PUNCT
ijassa-157	229	54	;	;	PUNCT
ijassa-157	229	55	g	g	NOUN
ijassa-157	229	56	,	,	PUNCT
ijassa-157	229	57	n	n	CCONJ
ijassa-157	229	58	,	,	PUNCT
ijassa-157	229	59	q(j	q(j	PROPN
ijassa-157	229	60	)	)	PUNCT
ijassa-157	229	61	)	)	PUNCT
ijassa-157	230	1	=	=	SYM
ijassa-157	230	2	γ	γ	X
ijassa-157	230	3	(	(	PUNCT
ijassa-157	230	4	n−p+1	n−p+1	NUM
ijassa-157	230	5	2	2	NUM
ijassa-157	230	6	)	)	PUNCT
ijassa-157	230	7	exp	exp	NOUN
ijassa-157	230	8	(	(	PUNCT
ijassa-157	230	9	−	−	PROPN
ijassa-157	230	10	q(j)g	q(j)g	PROPN
ijassa-157	230	11	2	2	NUM
ijassa-157	230	12	)	)	PUNCT
ijassa-157	230	13	γ	γ	PROPN
ijassa-157	230	14	(	(	PUNCT
ijassa-157	230	15	n−p	n−p	PROPN
ijassa-157	230	16	2	2	NUM
ijassa-157	230	17	)	)	PUNCT
ijassa-157	230	18	γ	γ	X
ijassa-157	230	19	(	(	PUNCT
ijassa-157	230	20	1	1	NUM
ijassa-157	230	21	2	2	NUM
ijassa-157	230	22	)	)	PUNCT
ijassa-157	230	23	advances	advance	NOUN
ijassa-157	230	24	in	in	ADP
ijassa-157	230	25	systems	system	NOUN
ijassa-157	230	26	science	science	NOUN
ijassa-157	230	27	and	and	CCONJ
ijassa-157	230	28	applications	application	NOUN
ijassa-157	230	29	(	(	PUNCT
ijassa-157	230	30	2014	2014	NUM
ijassa-157	230	31	)	)	PUNCT
ijassa-157	230	32	vol.14	vol.14	NOUN
ijassa-157	230	33	no.2	no.2	PROPN
ijassa-157	230	34	141	141	NUM
ijassa-157	230	35	×[1−	×[1−	NUM
ijassa-157	230	36	v(j	v(j	NOUN
ijassa-157	230	37	)	)	PUNCT
ijassa-157	230	38	]	]	PUNCT
ijassa-157	230	39	n−p−2	n−p−2	NOUN
ijassa-157	230	40	2	2	NUM
ijassa-157	231	1	[	[	X
ijassa-157	231	2	v(j)]−	v(j)]−	ADJ
ijassa-157	231	3	1	1	NUM
ijassa-157	231	4	2	2	NUM
ijassa-157	231	5	1f1	1f1	NUM
ijassa-157	231	6	(	(	PUNCT
ijassa-157	231	7	n−	n−	NOUN
ijassa-157	231	8	p+	p+	VERB
ijassa-157	231	9	1	1	NUM
ijassa-157	231	10	2	2	NUM
ijassa-157	231	11	;	;	PUNCT
ijassa-157	231	12	1	1	NUM
ijassa-157	231	13	2	2	NUM
ijassa-157	231	14	;	;	PUNCT
ijassa-157	231	15	q(j)gv(j	q(j)gv(j	NOUN
ijassa-157	231	16	)	)	PUNCT
ijassa-157	231	17	2	2	NUM
ijassa-157	231	18	)	)	PUNCT
ijassa-157	231	19	(	(	PUNCT
ijassa-157	231	20	61	61	NUM
ijassa-157	231	21	)	)	PUNCT
ijassa-157	231	22	for	for	ADP
ijassa-157	231	23	0	0	NUM
ijassa-157	231	24	<	<	X
ijassa-157	231	25	v(j	v(j	PROPN
ijassa-157	231	26	)	)	PUNCT
ijassa-157	231	27	<	<	X
ijassa-157	232	1	1	1	X
ijassa-157	232	2	.	.	PUNCT
ijassa-157	233	1	in	in	ADP
ijassa-157	233	2	(	(	PUNCT
ijassa-157	233	3	61	61	NUM
ijassa-157	233	4	)	)	PUNCT
ijassa-157	233	5	1f1	1f1	NUM
ijassa-157	233	6	(	(	PUNCT
ijassa-157	233	7	a	a	NOUN
ijassa-157	233	8	;	;	PUNCT
ijassa-157	233	9	b;x	b;x	NUM
ijassa-157	233	10	)	)	PUNCT
ijassa-157	233	11	is	be	AUX
ijassa-157	233	12	the	the	DET
ijassa-157	233	13	confluent	confluent	ADJ
ijassa-157	233	14	hypergeometric	hypergeometric	ADJ
ijassa-157	233	15	function	function	NOUN
ijassa-157	233	16	,	,	PUNCT
ijassa-157	233	17	and	and	CCONJ
ijassa-157	233	18	q(j	q(j	PROPN
ijassa-157	233	19	)	)	PUNCT
ijassa-157	233	20	is	be	AUX
ijassa-157	233	21	the	the	DET
ijassa-157	233	22	generalized	generalize	VERB
ijassa-157	233	23	signal	signal	NOUN
ijassa-157	233	24	-	-	PUNCT
ijassa-157	233	25	to	to	ADP
ijassa-157	233	26	-	-	PUNCT
ijassa-157	233	27	noise	noise	NOUN
ijassa-157	233	28	ratio	ratio	NOUN
ijassa-157	233	29	(	(	PUNCT
ijassa-157	233	30	gsnr	gsnr	PROPN
ijassa-157	233	31	)	)	PUNCT
ijassa-157	233	32	defined	define	VERB
ijassa-157	233	33	by	by	ADP
ijassa-157	233	34	q(j	q(j	PROPN
ijassa-157	233	35	)	)	PUNCT
ijassa-157	234	1	=	=	SYM
ijassa-157	234	2	gsnr	gsnr	PROPN
ijassa-157	234	3	=	=	SYM
ijassa-157	234	4	nυ2s′(j)q−1s(j	nυ2s′(j)q−1s(j	NOUN
ijassa-157	234	5	)	)	PUNCT
ijassa-157	234	6	.	.	PUNCT
ijassa-157	235	1	(	(	PUNCT
ijassa-157	235	2	62	62	NUM
ijassa-157	235	3	)	)	PUNCT
ijassa-157	235	4	under	under	ADP
ijassa-157	235	5	hypothesis	hypothesis	NOUN
ijassa-157	235	6	h0(j	h0(j	PROPN
ijassa-157	235	7	)	)	PUNCT
ijassa-157	235	8	,	,	PUNCT
ijassa-157	235	9	no	no	DET
ijassa-157	235	10	signal	signal	NOUN
ijassa-157	235	11	is	be	AUX
ijassa-157	235	12	present	present	ADJ
ijassa-157	235	13	.	.	PUNCT
ijassa-157	236	1	thus	thus	ADV
ijassa-157	236	2	,	,	PUNCT
ijassa-157	236	3	if	if	SCONJ
ijassa-157	236	4	one	one	NUM
ijassa-157	236	5	sets	set	VERB
ijassa-157	236	6	q(j	q(j	NOUN
ijassa-157	236	7	)	)	PUNCT
ijassa-157	237	1	=	=	SYM
ijassa-157	237	2	0	0	NUM
ijassa-157	238	1	in	in	ADP
ijassa-157	238	2	(	(	PUNCT
ijassa-157	238	3	61	61	NUM
ijassa-157	238	4	)	)	PUNCT
ijassa-157	238	5	,	,	PUNCT
ijassa-157	238	6	fh0(j)(v(j);n	fh0(j)(v(j);n	ADJ
ijassa-157	238	7	)	)	PUNCT
ijassa-157	238	8	=	=	SYM
ijassa-157	238	9	γ	γ	X
ijassa-157	238	10	(	(	PUNCT
ijassa-157	238	11	n−p+1	n−p+1	NUM
ijassa-157	238	12	2	2	NUM
ijassa-157	238	13	)	)	PUNCT
ijassa-157	238	14	γ	γ	PROPN
ijassa-157	238	15	(	(	PUNCT
ijassa-157	238	16	n−p	n−p	PROPN
ijassa-157	238	17	2	2	NUM
ijassa-157	238	18	)	)	PUNCT
ijassa-157	238	19	γ	γ	X
ijassa-157	238	20	(	(	PUNCT
ijassa-157	238	21	1	1	NUM
ijassa-157	238	22	2	2	NUM
ijassa-157	238	23	)	)	PUNCT
ijassa-157	239	1	[	[	X
ijassa-157	239	2	1−	1−	NUM
ijassa-157	239	3	v(j	v(j	NOUN
ijassa-157	239	4	)	)	PUNCT
ijassa-157	239	5	]	]	PUNCT
ijassa-157	240	1	n−p−2	n−p−2	NOUN
ijassa-157	240	2	2	2	NUM
ijassa-157	241	1	[	[	X
ijassa-157	241	2	v(j)]−	v(j)]−	NOUN
ijassa-157	241	3	1	1	NUM
ijassa-157	241	4	2	2	NUM
ijassa-157	241	5	,	,	PUNCT
ijassa-157	241	6	0	0	NUM
ijassa-157	241	7	<	<	X
ijassa-157	241	8	v(j	v(j	NOUN
ijassa-157	241	9	)	)	PUNCT
ijassa-157	241	10	<	<	X
ijassa-157	242	1	1	1	X
ijassa-157	242	2	.	.	PUNCT
ijassa-157	242	3	(	(	PUNCT
ijassa-157	242	4	63	63	NUM
ijassa-157	242	5	)	)	PUNCT
ijassa-157	242	6	proof	proof	NOUN
ijassa-157	242	7	.	.	PUNCT
ijassa-157	243	1	the	the	DET
ijassa-157	243	2	proof	proof	NOUN
ijassa-157	243	3	is	be	AUX
ijassa-157	243	4	similar	similar	ADJ
ijassa-157	243	5	to	to	ADP
ijassa-157	243	6	that	that	PRON
ijassa-157	243	7	of	of	ADP
ijassa-157	243	8	theorem	theorem	ADJ
ijassa-157	243	9	2	2	NUM
ijassa-157	244	1	and	and	CCONJ
ijassa-157	244	2	so	so	ADV
ijassa-157	244	3	it	it	PRON
ijassa-157	244	4	is	be	AUX
ijassa-157	244	5	omitted	omit	VERB
ijassa-157	244	6	here	here	ADV
ijassa-157	244	7	.	.	PUNCT
ijassa-157	245	1	finally	finally	ADV
ijassa-157	245	2	,	,	PUNCT
ijassa-157	245	3	in	in	ADP
ijassa-157	245	4	terms	term	NOUN
ijassa-157	245	5	of	of	ADP
ijassa-157	245	6	the	the	DET
ijassa-157	245	7	above	above	ADJ
ijassa-157	245	8	probability	probability	NOUN
ijassa-157	245	9	density	density	NOUN
ijassa-157	245	10	functions	function	NOUN
ijassa-157	245	11	in	in	ADP
ijassa-157	245	12	(	(	PUNCT
ijassa-157	245	13	59	59	NUM
ijassa-157	245	14	)	)	PUNCT
ijassa-157	245	15	and	and	CCONJ
ijassa-157	245	16	(	(	PUNCT
ijassa-157	245	17	63	63	NUM
ijassa-157	245	18	)	)	PUNCT
ijassa-157	245	19	the	the	DET
ijassa-157	245	20	probability	probability	NOUN
ijassa-157	245	21	of	of	ADP
ijassa-157	245	22	false	false	ADJ
ijassa-157	245	23	alarm	alarm	NOUN
ijassa-157	245	24	is	be	AUX
ijassa-157	245	25	given	give	VERB
ijassa-157	245	26	by	by	ADP
ijassa-157	245	27	pfa(j	pfa(j	PROPN
ijassa-157	245	28	)	)	PUNCT
ijassa-157	245	29	=	=	PUNCT
ijassa-157	245	30	1∫	1∫	NUM
ijassa-157	245	31	h(j	h(j	NOUN
ijassa-157	245	32	)	)	PUNCT
ijassa-157	245	33	fh0(j)(v(j);n)dv(j	fh0(j)(v(j);n)dv(j	NOUN
ijassa-157	245	34	)	)	PUNCT
ijassa-157	245	35	(	(	PUNCT
ijassa-157	245	36	64	64	NUM
ijassa-157	245	37	)	)	PUNCT
ijassa-157	245	38	and	and	CCONJ
ijassa-157	245	39	the	the	DET
ijassa-157	245	40	probability	probability	NOUN
ijassa-157	245	41	of	of	ADP
ijassa-157	245	42	detection	detection	NOUN
ijassa-157	245	43	of	of	ADP
ijassa-157	245	44	the	the	DET
ijassa-157	245	45	jth	jth	PROPN
ijassa-157	245	46	target	target	PROPN
ijassa-157	245	47	signal	signal	NOUN
ijassa-157	245	48	is	be	AUX
ijassa-157	245	49	pd(j	pd(j	PRON
ijassa-157	245	50	)	)	PUNCT
ijassa-157	245	51	=	=	PUNCT
ijassa-157	246	1	1∫	1∫	NUM
ijassa-157	246	2	h(j	h(j	NOUN
ijassa-157	246	3	)	)	PUNCT
ijassa-157	246	4	fh1(j)(v(j);n	fh1(j)(v(j);n	NOUN
ijassa-157	246	5	,	,	PUNCT
ijassa-157	246	6	q(j))dv(j	q(j))dv(j	PROPN
ijassa-157	246	7	)	)	PUNCT
ijassa-157	246	8	.	.	PUNCT
ijassa-157	247	1	(	(	PUNCT
ijassa-157	247	2	65	65	NUM
ijassa-157	247	3	)	)	PUNCT
ijassa-157	247	4	thus	thus	ADV
ijassa-157	247	5	,	,	PUNCT
ijassa-157	247	6	if	if	SCONJ
ijassa-157	247	7	v(j	v(j	NOUN
ijassa-157	247	8	)	)	PUNCT
ijassa-157	247	9	<	<	X
ijassa-157	247	10	h(j	h(j	PROPN
ijassa-157	247	11	)	)	PUNCT
ijassa-157	247	12	then	then	ADV
ijassa-157	247	13	the	the	DET
ijassa-157	247	14	jth	jth	PROPN
ijassa-157	247	15	target	target	NOUN
ijassa-157	247	16	class	class	NOUN
ijassa-157	247	17	is	be	AUX
ijassa-157	247	18	eliminated	eliminate	VERB
ijassa-157	247	19	from	from	ADP
ijassa-157	247	20	further	further	ADJ
ijassa-157	247	21	consideration	consideration	NOUN
ijassa-157	247	22	.	.	PUNCT
ijassa-157	248	1	if	if	SCONJ
ijassa-157	248	2	(	(	PUNCT
ijassa-157	248	3	m−	m−	PROPN
ijassa-157	248	4	1	1	NUM
ijassa-157	248	5	)	)	PUNCT
ijassa-157	248	6	target	target	NOUN
ijassa-157	248	7	classes	class	NOUN
ijassa-157	248	8	are	be	AUX
ijassa-157	248	9	so	so	ADV
ijassa-157	248	10	eliminated	eliminate	VERB
ijassa-157	248	11	,	,	PUNCT
ijassa-157	248	12	then	then	ADV
ijassa-157	248	13	the	the	DET
ijassa-157	248	14	remaining	remain	VERB
ijassa-157	248	15	class	class	NOUN
ijassa-157	248	16	(	(	PUNCT
ijassa-157	248	17	say	say	INTJ
ijassa-157	248	18	,	,	PUNCT
ijassa-157	248	19	kth	kth	PROPN
ijassa-157	248	20	)	)	PUNCT
ijassa-157	248	21	is	be	AUX
ijassa-157	248	22	the	the	DET
ijassa-157	248	23	one	one	NUM
ijassa-157	248	24	to	to	PART
ijassa-157	248	25	which	which	PRON
ijassa-157	248	26	a	a	DET
ijassa-157	248	27	detected	detect	VERB
ijassa-157	248	28	target	target	NOUN
ijassa-157	248	29	being	be	AUX
ijassa-157	248	30	classified	classify	VERB
ijassa-157	248	31	belongs	belong	NOUN
ijassa-157	248	32	.	.	PUNCT
ijassa-157	249	1	if	if	SCONJ
ijassa-157	249	2	all	all	DET
ijassa-157	249	3	the	the	DET
ijassa-157	249	4	target	target	NOUN
ijassa-157	249	5	classes	class	NOUN
ijassa-157	249	6	are	be	AUX
ijassa-157	249	7	eliminated	eliminate	VERB
ijassa-157	249	8	from	from	ADP
ijassa-157	249	9	further	further	ADJ
ijassa-157	249	10	consideration	consideration	NOUN
ijassa-157	249	11	,	,	PUNCT
ijassa-157	249	12	we	we	PRON
ijassa-157	249	13	decide	decide	VERB
ijassa-157	249	14	that	that	SCONJ
ijassa-157	249	15	we	we	PRON
ijassa-157	249	16	deal	deal	VERB
ijassa-157	249	17	with	with	ADP
ijassa-157	249	18	a	a	DET
ijassa-157	249	19	clutter	clutter	NOUN
ijassa-157	249	20	alone	alone	ADV
ijassa-157	249	21	.	.	PUNCT
ijassa-157	250	1	if	if	SCONJ
ijassa-157	250	2	the	the	DET
ijassa-157	250	3	set	set	NOUN
ijassa-157	250	4	of	of	ADP
ijassa-157	250	5	target	target	NOUN
ijassa-157	250	6	classes	class	NOUN
ijassa-157	250	7	not	not	PART
ijassa-157	250	8	yet	yet	ADV
ijassa-157	250	9	eliminated	eliminate	VERB
ijassa-157	250	10	has	have	VERB
ijassa-157	250	11	more	more	ADJ
ijassa-157	250	12	than	than	ADP
ijassa-157	250	13	one	one	NUM
ijassa-157	250	14	element	element	NOUN
ijassa-157	250	15	,	,	PUNCT
ijassa-157	250	16	then	then	ADV
ijassa-157	250	17	we	we	PRON
ijassa-157	250	18	declare	declare	VERB
ijassa-157	250	19	that	that	SCONJ
ijassa-157	250	20	a	a	DET
ijassa-157	250	21	detected	detect	VERB
ijassa-157	250	22	target	target	NOUN
ijassa-157	250	23	belongs	belong	VERB
ijassa-157	250	24	to	to	ADP
ijassa-157	250	25	the	the	DET
ijassa-157	250	26	class	class	NOUN
ijassa-157	250	27	j∗	j∗	NOUN
ijassa-157	250	28	if	if	SCONJ
ijassa-157	250	29	j∗	j∗	PROPN
ijassa-157	250	30	=	=	PUNCT
ijassa-157	250	31	arg	arg	NOUN
ijassa-157	250	32	max	max	PROPN
ijassa-157	250	33	j∈d	j∈d	PROPN
ijassa-157	250	34	(	(	PUNCT
ijassa-157	250	35	v(j)−	v(j)−	NOUN
ijassa-157	250	36	h(j	h(j	NOUN
ijassa-157	250	37	)	)	PUNCT
ijassa-157	250	38	)	)	PUNCT
ijassa-157	250	39	,	,	PUNCT
ijassa-157	250	40	(	(	PUNCT
ijassa-157	250	41	66	66	NUM
ijassa-157	250	42	)	)	PUNCT
ijassa-157	250	43	where	where	SCONJ
ijassa-157	250	44	d	d	NOUN
ijassa-157	250	45	is	be	AUX
ijassa-157	250	46	the	the	DET
ijassa-157	250	47	set	set	NOUN
ijassa-157	250	48	of	of	ADP
ijassa-157	250	49	target	target	NOUN
ijassa-157	250	50	classes	class	NOUN
ijassa-157	250	51	not	not	PART
ijassa-157	250	52	yet	yet	ADV
ijassa-157	250	53	eliminated	eliminate	VERB
ijassa-157	250	54	by	by	ADP
ijassa-157	250	55	the	the	DET
ijassa-157	250	56	above	above	ADJ
ijassa-157	250	57	test	test	NOUN
ijassa-157	250	58	.	.	PUNCT
ijassa-157	251	1	142	142	NUM
ijassa-157	251	2	konstantin	konstantin	PROPN
ijassa-157	251	3	n.	n.	PROPN
ijassa-157	251	4	nechval	nechval	PROPN
ijassa-157	251	5	:	:	PUNCT
ijassa-157	251	6	adaptive	adaptive	ADJ
ijassa-157	251	7	cfar	cfar	NOUN
ijassa-157	251	8	tests	test	NOUN
ijassa-157	251	9	for	for	ADP
ijassa-157	251	10	detection	detection	NOUN
ijassa-157	251	11	and	and	CCONJ
ijassa-157	251	12	recognition	recognition	NOUN
ijassa-157	251	13	of	of	ADP
ijassa-157	251	14	target	target	NOUN
ijassa-157	251	15	...	...	PUNCT
ijassa-157	251	16	4	4	NUM
ijassa-157	251	17	conclusion	conclusion	NOUN
ijassa-157	251	18	the	the	DET
ijassa-157	251	19	main	main	ADJ
ijassa-157	251	20	idea	idea	NOUN
ijassa-157	251	21	of	of	ADP
ijassa-157	251	22	this	this	DET
ijassa-157	251	23	paper	paper	NOUN
ijassa-157	251	24	is	be	AUX
ijassa-157	251	25	to	to	PART
ijassa-157	251	26	find	find	VERB
ijassa-157	251	27	a	a	DET
ijassa-157	251	28	test	test	NOUN
ijassa-157	251	29	statistic	statistic	NOUN
ijassa-157	251	30	whose	whose	DET
ijassa-157	251	31	distribution	distribution	NOUN
ijassa-157	251	32	,	,	PUNCT
ijassa-157	251	33	under	under	ADP
ijassa-157	251	34	the	the	DET
ijassa-157	251	35	null	null	ADJ
ijassa-157	251	36	hypothesis	hypothesis	NOUN
ijassa-157	251	37	,	,	PUNCT
ijassa-157	251	38	does	do	AUX
ijassa-157	251	39	not	not	PART
ijassa-157	251	40	depend	depend	VERB
ijassa-157	251	41	on	on	ADP
ijassa-157	251	42	unknown	unknown	ADJ
ijassa-157	251	43	(	(	PUNCT
ijassa-157	251	44	nuisance	nuisance	ADJ
ijassa-157	251	45	)	)	PUNCT
ijassa-157	251	46	parameters	parameter	NOUN
ijassa-157	251	47	.	.	PUNCT
ijassa-157	252	1	this	this	PRON
ijassa-157	252	2	allows	allow	VERB
ijassa-157	252	3	one	one	PRON
ijassa-157	252	4	to	to	PART
ijassa-157	252	5	eliminate	eliminate	VERB
ijassa-157	252	6	the	the	DET
ijassa-157	252	7	unknown	unknown	ADJ
ijassa-157	252	8	parameters	parameter	NOUN
ijassa-157	252	9	of	of	ADP
ijassa-157	252	10	noisy	noisy	ADJ
ijassa-157	252	11	processes	process	NOUN
ijassa-157	252	12	,	,	PUNCT
ijassa-157	252	13	which	which	PRON
ijassa-157	252	14	are	be	AUX
ijassa-157	252	15	changing	change	VERB
ijassa-157	252	16	with	with	ADP
ijassa-157	252	17	time	time	NOUN
ijassa-157	252	18	and	and	CCONJ
ijassa-157	252	19	position	position	NOUN
ijassa-157	252	20	,	,	PUNCT
ijassa-157	252	21	from	from	ADP
ijassa-157	252	22	the	the	DET
ijassa-157	252	23	problem	problem	NOUN
ijassa-157	252	24	.	.	PUNCT
ijassa-157	253	1	the	the	DET
ijassa-157	253	2	authors	author	NOUN
ijassa-157	253	3	hope	hope	VERB
ijassa-157	253	4	that	that	SCONJ
ijassa-157	253	5	this	this	DET
ijassa-157	253	6	work	work	NOUN
ijassa-157	253	7	will	will	AUX
ijassa-157	253	8	stimulate	stimulate	VERB
ijassa-157	253	9	further	further	ADJ
ijassa-157	253	10	investigation	investigation	NOUN
ijassa-157	253	11	using	use	VERB
ijassa-157	253	12	the	the	DET
ijassa-157	253	13	approach	approach	NOUN
ijassa-157	253	14	on	on	ADP
ijassa-157	253	15	specific	specific	ADJ
ijassa-157	253	16	applications	application	NOUN
ijassa-157	253	17	to	to	PART
ijassa-157	253	18	see	see	VERB
ijassa-157	253	19	whether	whether	SCONJ
ijassa-157	253	20	obtained	obtain	VERB
ijassa-157	253	21	results	result	NOUN
ijassa-157	253	22	with	with	ADP
ijassa-157	253	23	it	it	PRON
ijassa-157	253	24	are	be	AUX
ijassa-157	253	25	feasible	feasible	ADJ
ijassa-157	253	26	for	for	ADP
ijassa-157	253	27	realistic	realistic	ADJ
ijassa-157	253	28	applications	application	NOUN
ijassa-157	253	29	.	.	PUNCT
ijassa-157	254	1	acknowledgments	acknowledgment	NOUN
ijassa-157	254	2	this	this	DET
ijassa-157	254	3	research	research	NOUN
ijassa-157	254	4	was	be	AUX
ijassa-157	254	5	supported	support	VERB
ijassa-157	254	6	in	in	ADP
ijassa-157	254	7	part	part	NOUN
ijassa-157	254	8	by	by	ADP
ijassa-157	254	9	grant	grant	NOUN
ijassa-157	254	10	no.06.1936	no.06.1936	NOUN
ijassa-157	254	11	and	and	CCONJ
ijassa-157	254	12	grant	grant	NOUN
ijassa-157	254	13	no.01.0031	no.01.0031	NOUN
ijassa-157	254	14	from	from	ADP
ijassa-157	254	15	the	the	DET
ijassa-157	254	16	latvian	latvian	ADJ
ijassa-157	254	17	council	council	PROPN
ijassa-157	254	18	of	of	ADP
ijassa-157	254	19	science	science	PROPN
ijassa-157	254	20	and	and	CCONJ
ijassa-157	254	21	the	the	DET
ijassa-157	254	22	national	national	PROPN
ijassa-157	254	23	institute	institute	PROPN
ijassa-157	254	24	of	of	ADP
ijassa-157	254	25	mathematics	mathematics	PROPN
ijassa-157	254	26	and	and	CCONJ
ijassa-157	254	27	informatics	informatic	NOUN
ijassa-157	254	28	of	of	ADP
ijassa-157	254	29	latvia	latvia	PROPN
ijassa-157	254	30	.	.	PUNCT
ijassa-157	255	1	this	this	DET
ijassa-157	255	2	support	support	NOUN
ijassa-157	255	3	is	be	AUX
ijassa-157	255	4	gratefully	gratefully	ADV
ijassa-157	255	5	acknowledged	acknowledge	VERB
ijassa-157	255	6	.	.	PUNCT
ijassa-157	256	1	references	reference	NOUN
ijassa-157	256	2	[	[	X
ijassa-157	256	3	1	1	NUM
ijassa-157	256	4	]	]	X
ijassa-157	256	5	kay	kay	PROPN
ijassa-157	256	6	,	,	PUNCT
ijassa-157	256	7	s.m	s.m	PROPN
ijassa-157	256	8	.	.	PROPN
ijassa-157	256	9	and	and	CCONJ
ijassa-157	256	10	makhoul	makhoul	PROPN
ijassa-157	256	11	,	,	PUNCT
ijassa-157	256	12	j.	j.	PROPN
ijassa-157	256	13	(	(	PUNCT
ijassa-157	256	14	1983	1983	NUM
ijassa-157	256	15	)	)	PUNCT
ijassa-157	256	16	,	,	PUNCT
ijassa-157	256	17	“	"	PUNCT
ijassa-157	256	18	on	on	ADP
ijassa-157	256	19	the	the	DET
ijassa-157	256	20	statistics	statistic	NOUN
ijassa-157	256	21	of	of	ADP
ijassa-157	256	22	the	the	DET
ijassa-157	256	23	estimated	estimate	VERB
ijassa-157	256	24	reflection	reflection	NOUN
ijassa-157	256	25	coefficients	coefficient	NOUN
ijassa-157	256	26	of	of	ADP
ijassa-157	256	27	an	an	DET
ijassa-157	256	28	autoregressive	autoregressive	ADJ
ijassa-157	256	29	process	process	NOUN
ijassa-157	256	30	”	"	PUNCT
ijassa-157	256	31	,	,	PUNCT
ijassa-157	256	32	ieee	ieee	NOUN
ijassa-157	256	33	trans	tran	NOUN
ijassa-157	256	34	.	.	PUNCT
ijassa-157	257	1	on	on	ADP
ijassa-157	257	2	assp	assp	ADJ
ijassa-157	257	3	,	,	PUNCT
ijassa-157	257	4	vol	vol	NOUN
ijassa-157	257	5	.	.	PROPN
ijassa-157	257	6	31	31	NUM
ijassa-157	257	7	,	,	PUNCT
ijassa-157	257	8	pp.1447	pp.1447	PROPN
ijassa-157	257	9	-	-	PUNCT
ijassa-157	257	10	1455	1455	NUM
ijassa-157	257	11	.	.	PUNCT
ijassa-157	258	1	[	[	X
ijassa-157	258	2	2	2	NUM
ijassa-157	258	3	]	]	ADJ
ijassa-157	258	4	stehwien	stehwien	NOUN
ijassa-157	258	5	,	,	PUNCT
ijassa-157	258	6	w.	w.	PROPN
ijassa-157	258	7	and	and	CCONJ
ijassa-157	258	8	haykin	haykin	PROPN
ijassa-157	258	9	,	,	PUNCT
ijassa-157	258	10	s.	s.	PROPN
ijassa-157	258	11	(	(	PUNCT
ijassa-157	258	12	1989	1989	NUM
ijassa-157	258	13	)	)	PUNCT
ijassa-157	258	14	,	,	PUNCT
ijassa-157	258	15	“	"	PUNCT
ijassa-157	258	16	a	a	DET
ijassa-157	258	17	statistical	statistical	ADJ
ijassa-157	258	18	radar	radar	NOUN
ijassa-157	258	19	clutter	clutter	NOUN
ijassa-157	258	20	classifier	classifier	NOUN
ijassa-157	258	21	”	"	PUNCT
ijassa-157	258	22	,	,	PUNCT
ijassa-157	258	23	proceedings	proceeding	NOUN
ijassa-157	258	24	of	of	ADP
ijassa-157	258	25	the	the	DET
ijassa-157	258	26	ieee	ieee	PROPN
ijassa-157	258	27	national	national	PROPN
ijassa-157	258	28	radar	radar	PROPN
ijassa-157	258	29	conference	conference	PROPN
ijassa-157	258	30	,	,	PUNCT
ijassa-157	258	31	dallas	dallas	PROPN
ijassa-157	258	32	,	,	PUNCT
ijassa-157	258	33	texas	texas	PROPN
ijassa-157	258	34	,	,	PUNCT
ijassa-157	258	35	pp.164169	pp.164169	PROPN
ijassa-157	258	36	.	.	PUNCT
ijassa-157	259	1	[	[	X
ijassa-157	259	2	3	3	NUM
ijassa-157	259	3	]	]	X
ijassa-157	259	4	nechval	nechval	NOUN
ijassa-157	259	5	,	,	PUNCT
ijassa-157	259	6	n.a	n.a	PROPN
ijassa-157	259	7	.	.	PROPN
ijassa-157	259	8	and	and	CCONJ
ijassa-157	259	9	nechval	nechval	PROPN
ijassa-157	259	10	,	,	PUNCT
ijassa-157	259	11	k.n	k.n	PROPN
ijassa-157	259	12	.	.	PROPN
ijassa-157	259	13	(	(	PUNCT
ijassa-157	259	14	1998	1998	NUM
ijassa-157	259	15	)	)	PUNCT
ijassa-157	259	16	,	,	PUNCT
ijassa-157	259	17	“	"	PUNCT
ijassa-157	259	18	characterization	characterization	NOUN
ijassa-157	259	19	theorems	theorem	NOUN
ijassa-157	259	20	for	for	ADP
ijassa-157	259	21	selecting	select	VERB
ijassa-157	259	22	the	the	DET
ijassa-157	259	23	type	type	NOUN
ijassa-157	259	24	of	of	ADP
ijassa-157	259	25	underlying	underlie	VERB
ijassa-157	259	26	distribution	distribution	NOUN
ijassa-157	259	27	”	"	PUNCT
ijassa-157	259	28	,	,	PUNCT
ijassa-157	259	29	abstracts	abstract	NOUN
ijassa-157	259	30	of	of	ADP
ijassa-157	259	31	communications	communication	NOUN
ijassa-157	259	32	of	of	ADP
ijassa-157	259	33	the	the	DET
ijassa-157	259	34	7th	7th	ADJ
ijassa-157	259	35	vilnius	vilnius	PROPN
ijassa-157	259	36	conference	conference	NOUN
ijassa-157	259	37	on	on	ADP
ijassa-157	259	38	probability	probability	NOUN
ijassa-157	259	39	theory	theory	NOUN
ijassa-157	259	40	and	and	CCONJ
ijassa-157	259	41	mathematical	mathematical	ADJ
ijassa-157	259	42	statistics	statistic	NOUN
ijassa-157	259	43	&	&	CCONJ
ijassa-157	259	44	the	the	DET
ijassa-157	259	45	22nd	22nd	ADJ
ijassa-157	259	46	european	european	ADJ
ijassa-157	259	47	meeting	meeting	NOUN
ijassa-157	259	48	of	of	ADP
ijassa-157	259	49	statisticians	statistician	NOUN
ijassa-157	259	50	,	,	PUNCT
ijassa-157	259	51	tev	tev	PROPN
ijassa-157	259	52	,	,	PUNCT
ijassa-157	259	53	vilnius	vilnius	PROPN
ijassa-157	259	54	,	,	PUNCT
ijassa-157	259	55	lithuania	lithuania	PROPN
ijassa-157	259	56	,	,	PUNCT
ijassa-157	259	57	pp.352	pp.352	NOUN
ijassa-157	259	58	-	-	PUNCT
ijassa-157	259	59	353	353	NUM
ijassa-157	259	60	.	.	PUNCT
ijassa-157	260	1	[	[	X
ijassa-157	260	2	4	4	NUM
ijassa-157	260	3	]	]	X
ijassa-157	260	4	nechval	nechval	NOUN
ijassa-157	260	5	,	,	PUNCT
ijassa-157	260	6	n.a	n.a	PROPN
ijassa-157	260	7	.	.	PROPN
ijassa-157	260	8	,	,	PUNCT
ijassa-157	260	9	nechval	nechval	PROPN
ijassa-157	260	10	,	,	PUNCT
ijassa-157	260	11	k.n	k.n	PROPN
ijassa-157	260	12	.	.	PROPN
ijassa-157	260	13	,	,	PUNCT
ijassa-157	260	14	and	and	CCONJ
ijassa-157	260	15	vasermanis	vasermanis	PROPN
ijassa-157	260	16	,	,	PUNCT
ijassa-157	260	17	e.k	e.k	PROPN
ijassa-157	260	18	.	.	PROPN
ijassa-157	260	19	(	(	PUNCT
ijassa-157	260	20	2000	2000	NUM
ijassa-157	260	21	)	)	PUNCT
ijassa-157	260	22	,	,	PUNCT
ijassa-157	260	23	“	"	PUNCT
ijassa-157	260	24	technique	technique	NOUN
ijassa-157	260	25	of	of	ADP
ijassa-157	260	26	testing	testing	NOUN
ijassa-157	260	27	for	for	ADP
ijassa-157	260	28	two	two	NUM
ijassa-157	260	29	-	-	PUNCT
ijassa-157	260	30	phase	phase	NOUN
ijassa-157	260	31	regressions	regression	NOUN
ijassa-157	260	32	”	"	PUNCT
ijassa-157	260	33	,	,	PUNCT
ijassa-157	260	34	proceedings	proceeding	NOUN
ijassa-157	260	35	of	of	ADP
ijassa-157	260	36	the	the	DET
ijassa-157	260	37	second	second	ADJ
ijassa-157	260	38	international	international	ADJ
ijassa-157	260	39	conference	conference	NOUN
ijassa-157	260	40	on	on	ADP
ijassa-157	260	41	simulation	simulation	NOUN
ijassa-157	260	42	,	,	PUNCT
ijassa-157	260	43	gaming	gaming	NOUN
ijassa-157	260	44	,	,	PUNCT
ijassa-157	260	45	training	training	NOUN
ijassa-157	260	46	and	and	CCONJ
ijassa-157	260	47	business	business	NOUN
ijassa-157	260	48	process	process	NOUN
ijassa-157	260	49	reengineering	reengineere	VERB
ijassa-157	260	50	in	in	ADP
ijassa-157	260	51	operations	operation	NOUN
ijassa-157	260	52	,	,	PUNCT
ijassa-157	260	53	riga	riga	PROPN
ijassa-157	260	54	,	,	PUNCT
ijassa-157	260	55	latvia	latvia	PROPN
ijassa-157	260	56	,	,	PUNCT
ijassa-157	260	57	pp.129	pp.129	PROPN
ijassa-157	260	58	-	-	PUNCT
ijassa-157	260	59	133	133	NUM
ijassa-157	260	60	.	.	PUNCT
ijassa-157	261	1	[	[	X
ijassa-157	261	2	5	5	NUM
ijassa-157	261	3	]	]	X
ijassa-157	261	4	nechval	nechval	NOUN
ijassa-157	261	5	,	,	PUNCT
ijassa-157	261	6	n.a	n.a	PROPN
ijassa-157	261	7	.	.	PROPN
ijassa-157	261	8	(	(	PUNCT
ijassa-157	261	9	1988	1988	NUM
ijassa-157	261	10	)	)	PUNCT
ijassa-157	261	11	,	,	PUNCT
ijassa-157	261	12	“	"	PUNCT
ijassa-157	261	13	a	a	DET
ijassa-157	261	14	general	general	ADJ
ijassa-157	261	15	method	method	NOUN
ijassa-157	261	16	for	for	ADP
ijassa-157	261	17	constructing	construct	VERB
ijassa-157	261	18	automated	automate	VERB
ijassa-157	261	19	procedures	procedure	NOUN
ijassa-157	261	20	for	for	ADP
ijassa-157	261	21	testing	test	VERB
ijassa-157	261	22	quickest	quick	ADJ
ijassa-157	261	23	detection	detection	NOUN
ijassa-157	261	24	of	of	ADP
ijassa-157	261	25	a	a	DET
ijassa-157	261	26	change	change	NOUN
ijassa-157	261	27	in	in	ADP
ijassa-157	261	28	quality	quality	NOUN
ijassa-157	261	29	control	control	NOUN
ijassa-157	261	30	”	"	PUNCT
ijassa-157	261	31	,	,	PUNCT
ijassa-157	261	32	computers	computer	NOUN
ijassa-157	261	33	in	in	ADP
ijassa-157	261	34	industry	industry	NOUN
ijassa-157	261	35	,	,	PUNCT
ijassa-157	261	36	vol	vol	NOUN
ijassa-157	261	37	.	.	PROPN
ijassa-157	261	38	10	10	NUM
ijassa-157	261	39	,	,	PUNCT
ijassa-157	261	40	pp.177	pp.177	PROPN
ijassa-157	261	41	-	-	X
ijassa-157	261	42	183	183	NUM
ijassa-157	261	43	.	.	PUNCT
ijassa-157	262	1	[	[	X
ijassa-157	262	2	6	6	NUM
ijassa-157	262	3	]	]	X
ijassa-157	262	4	abramowitz	abramowitz	NOUN
ijassa-157	262	5	,	,	PUNCT
ijassa-157	262	6	m.	m.	NOUN
ijassa-157	262	7	and	and	CCONJ
ijassa-157	262	8	stegun	stegun	NOUN
ijassa-157	262	9	,	,	PUNCT
ijassa-157	262	10	i.a	i.a	PROPN
ijassa-157	262	11	.	.	PROPN
ijassa-157	262	12	(	(	PUNCT
ijassa-157	262	13	1964	1964	NUM
ijassa-157	262	14	)	)	PUNCT
ijassa-157	262	15	,	,	PUNCT
ijassa-157	262	16	handbook	handbook	NOUN
ijassa-157	262	17	of	of	ADP
ijassa-157	262	18	mathematical	mathematical	ADJ
ijassa-157	262	19	functions	function	NOUN
ijassa-157	262	20	,	,	PUNCT
ijassa-157	262	21	national	national	ADJ
ijassa-157	262	22	bureau	bureau	PROPN
ijassa-157	262	23	of	of	ADP
ijassa-157	262	24	standards	standard	NOUN
ijassa-157	262	25	,	,	PUNCT
ijassa-157	262	26	new	new	PROPN
ijassa-157	262	27	york	york	PROPN
ijassa-157	262	28	.	.	PUNCT
ijassa-157	263	1	advances	advance	NOUN
ijassa-157	263	2	in	in	ADP
ijassa-157	263	3	systems	system	NOUN
ijassa-157	263	4	science	science	NOUN
ijassa-157	263	5	and	and	CCONJ
ijassa-157	263	6	applications	application	NOUN
ijassa-157	263	7	(	(	PUNCT
ijassa-157	263	8	2014	2014	NUM
ijassa-157	263	9	)	)	PUNCT
ijassa-157	263	10	vol.14	vol.14	NOUN
ijassa-157	263	11	no.2	no.2	NUM
ijassa-157	263	12	143	143	NUM
ijassa-157	264	1	[	[	X
ijassa-157	264	2	7	7	NUM
ijassa-157	264	3	]	]	X
ijassa-157	264	4	nechval	nechval	NOUN
ijassa-157	264	5	,	,	PUNCT
ijassa-157	264	6	n.a	n.a	PROPN
ijassa-157	264	7	.	.	PROPN
ijassa-157	264	8	(	(	PUNCT
ijassa-157	264	9	1992	1992	NUM
ijassa-157	264	10	)	)	PUNCT
ijassa-157	264	11	,	,	PUNCT
ijassa-157	264	12	“	"	PUNCT
ijassa-157	264	13	radar	radar	NOUN
ijassa-157	264	14	cfar	cfar	ADV
ijassa-157	264	15	thresholding	thresholde	VERB
ijassa-157	264	16	in	in	ADP
ijassa-157	264	17	clutter	clutter	NOUN
ijassa-157	264	18	under	under	ADP
ijassa-157	264	19	detection	detection	NOUN
ijassa-157	264	20	of	of	ADP
ijassa-157	264	21	airborne	airborne	ADJ
ijassa-157	264	22	birds	bird	NOUN
ijassa-157	264	23	”	"	PUNCT
ijassa-157	264	24	,	,	PUNCT
ijassa-157	264	25	proceedings	proceeding	NOUN
ijassa-157	264	26	of	of	ADP
ijassa-157	264	27	the	the	DET
ijassa-157	264	28	21st	21st	ADJ
ijassa-157	264	29	meeting	meeting	NOUN
ijassa-157	264	30	of	of	ADP
ijassa-157	264	31	bird	bird	PROPN
ijassa-157	264	32	strike	strike	PROPN
ijassa-157	264	33	committee	committee	PROPN
ijassa-157	264	34	europe	europe	PROPN
ijassa-157	264	35	,	,	PUNCT
ijassa-157	264	36	bsce	bsce	PROPN
ijassa-157	264	37	,	,	PUNCT
ijassa-157	264	38	jerusalem	jerusalem	PROPN
ijassa-157	264	39	,	,	PUNCT
ijassa-157	264	40	israel	israel	PROPN
ijassa-157	264	41	,	,	PUNCT
ijassa-157	264	42	pp.127	pp.127	PROPN
ijassa-157	264	43	-	-	PUNCT
ijassa-157	264	44	140	140	NUM
ijassa-157	264	45	.	.	PUNCT
ijassa-157	265	1	[	[	X
ijassa-157	265	2	8	8	NUM
ijassa-157	265	3	]	]	X
ijassa-157	265	4	lehmann	lehmann	PROPN
ijassa-157	265	5	,	,	PUNCT
ijassa-157	265	6	e.l	e.l	PROPN
ijassa-157	265	7	.	.	PROPN
ijassa-157	265	8	(	(	PUNCT
ijassa-157	265	9	1959	1959	NUM
ijassa-157	265	10	)	)	PUNCT
ijassa-157	265	11	,	,	PUNCT
ijassa-157	265	12	testing	test	VERB
ijassa-157	265	13	statistical	statistical	ADJ
ijassa-157	265	14	hypotheses	hypothesis	NOUN
ijassa-157	265	15	,	,	PUNCT
ijassa-157	265	16	john	john	PROPN
ijassa-157	265	17	wiley	wiley	PROPN
ijassa-157	265	18	,	,	PUNCT
ijassa-157	265	19	new	new	PROPN
ijassa-157	265	20	york	york	PROPN
ijassa-157	265	21	.	.	PUNCT
ijassa-157	266	1	[	[	X
ijassa-157	266	2	9	9	NUM
ijassa-157	266	3	]	]	X
ijassa-157	266	4	nechval	nechval	NOUN
ijassa-157	266	5	,	,	PUNCT
ijassa-157	266	6	n.a	n.a	PROPN
ijassa-157	266	7	.	.	PROPN
ijassa-157	266	8	(	(	PUNCT
ijassa-157	266	9	1997	1997	NUM
ijassa-157	266	10	)	)	PUNCT
ijassa-157	266	11	,	,	PUNCT
ijassa-157	266	12	“	"	PUNCT
ijassa-157	266	13	adaptive	adaptive	ADJ
ijassa-157	266	14	cfar	cfar	NOUN
ijassa-157	266	15	tests	test	NOUN
ijassa-157	266	16	for	for	ADP
ijassa-157	266	17	detection	detection	NOUN
ijassa-157	266	18	of	of	ADP
ijassa-157	266	19	a	a	DET
ijassa-157	266	20	signal	signal	NOUN
ijassa-157	266	21	in	in	ADP
ijassa-157	266	22	noise	noise	NOUN
ijassa-157	266	23	and	and	CCONJ
ijassa-157	266	24	deflection	deflection	NOUN
ijassa-157	266	25	criterion	criterion	NOUN
ijassa-157	266	26	”	"	PUNCT
ijassa-157	266	27	,	,	PUNCT
ijassa-157	266	28	digital	digital	ADJ
ijassa-157	266	29	signal	signal	NOUN
ijassa-157	266	30	processing	processing	NOUN
ijassa-157	266	31	for	for	ADP
ijassa-157	266	32	communication	communication	NOUN
ijassa-157	266	33	systems	system	NOUN
ijassa-157	266	34	(	(	PUNCT
ijassa-157	266	35	edited	edit	VERB
ijassa-157	266	36	by	by	ADP
ijassa-157	266	37	t.	t.	PROPN
ijassa-157	266	38	wysocki	wysocki	PROPN
ijassa-157	266	39	,	,	PUNCT
ijassa-157	266	40	h.	h.	PROPN
ijassa-157	266	41	razavi	razavi	PROPN
ijassa-157	266	42	,	,	PUNCT
ijassa-157	266	43	b.	b.	PROPN
ijassa-157	266	44	honary	honary	PROPN
ijassa-157	266	45	)	)	PUNCT
ijassa-157	266	46	,	,	PUNCT
ijassa-157	266	47	kluwer	kluwer	NOUN
ijassa-157	266	48	academic	academic	ADJ
ijassa-157	266	49	publishers	publisher	NOUN
ijassa-157	266	50	,	,	PUNCT
ijassa-157	266	51	boston·dordrecht·london	boston·dordrecht·london	ADV
ijassa-157	266	52	,	,	PUNCT
ijassa-157	266	53	pp.177	pp.177	PROPN
ijassa-157	266	54	-	-	X
ijassa-157	266	55	186	186	NUM
ijassa-157	266	56	.	.	PUNCT
ijassa-157	267	1	[	[	X
ijassa-157	267	2	10	10	NUM
ijassa-157	267	3	]	]	X
ijassa-157	267	4	nechval	nechval	NOUN
ijassa-157	267	5	,	,	PUNCT
ijassa-157	267	6	n.a	n.a	PROPN
ijassa-157	267	7	.	.	PROPN
ijassa-157	267	8	(	(	PUNCT
ijassa-157	267	9	1997	1997	NUM
ijassa-157	267	10	)	)	PUNCT
ijassa-157	267	11	,	,	PUNCT
ijassa-157	267	12	“	"	PUNCT
ijassa-157	267	13	umpi	umpi	ADJ
ijassa-157	267	14	test	test	NOUN
ijassa-157	267	15	for	for	ADP
ijassa-157	267	16	adaptive	adaptive	ADJ
ijassa-157	267	17	signal	signal	NOUN
ijassa-157	267	18	detection	detection	NOUN
ijassa-157	267	19	”	"	PUNCT
ijassa-157	267	20	,	,	PUNCT
ijassa-157	267	21	signal	signal	ADJ
ijassa-157	267	22	processing	processing	NOUN
ijassa-157	267	23	,	,	PUNCT
ijassa-157	267	24	sensor	sensor	NOUN
ijassa-157	267	25	fusion	fusion	NOUN
ijassa-157	267	26	,	,	PUNCT
ijassa-157	267	27	and	and	CCONJ
ijassa-157	267	28	target	target	NOUN
ijassa-157	267	29	recognition	recognition	NOUN
ijassa-157	267	30	vi	vi	PROPN
ijassa-157	267	31	(	(	PUNCT
ijassa-157	267	32	edited	edit	VERB
ijassa-157	267	33	by	by	ADP
ijassa-157	267	34	i.	i.	PROPN
ijassa-157	267	35	kadar	kadar	PROPN
ijassa-157	267	36	)	)	PUNCT
ijassa-157	267	37	,	,	PUNCT
ijassa-157	267	38	proc	proc	NOUN
ijassa-157	267	39	.	.	PUNCT
ijassa-157	268	1	spie	spie	ADJ
ijassa-157	268	2	,	,	PUNCT
ijassa-157	268	3	vol	vol	NOUN
ijassa-157	268	4	.	.	PROPN
ijassa-157	268	5	3068	3068	NUM
ijassa-157	268	6	.	.	PUNCT
ijassa-157	269	1	orlando	orlando	PROPN
ijassa-157	269	2	,	,	PUNCT
ijassa-157	269	3	florida	florida	PROPN
ijassa-157	269	4	usa	usa	PROPN
ijassa-157	269	5	,	,	PUNCT
ijassa-157	269	6	paper	paper	NOUN
ijassa-157	269	7	no.3068	no.3068	PROPN
ijassa-157	269	8	-	-	PUNCT
ijassa-157	269	9	73	73	NUM
ijassa-157	269	10	,	,	PUNCT
ijassa-157	269	11	12	12	NUM
ijassa-157	269	12	pages	page	NOUN
ijassa-157	269	13	.	.	PUNCT
ijassa-157	270	1	[	[	X
ijassa-157	270	2	11	11	NUM
ijassa-157	270	3	]	]	X
ijassa-157	270	4	nechval	nechval	NOUN
ijassa-157	270	5	,	,	PUNCT
ijassa-157	270	6	n.a	n.a	PROPN
ijassa-157	270	7	.	.	PROPN
ijassa-157	270	8	and	and	CCONJ
ijassa-157	270	9	nechval	nechval	PROPN
ijassa-157	270	10	,	,	PUNCT
ijassa-157	270	11	k.n	k.n	PROPN
ijassa-157	270	12	.	.	PROPN
ijassa-157	270	13	(	(	PUNCT
ijassa-157	270	14	1999	1999	NUM
ijassa-157	270	15	)	)	PUNCT
ijassa-157	270	16	,	,	PUNCT
ijassa-157	270	17	“	"	PUNCT
ijassa-157	270	18	cfar	cfar	ADJ
ijassa-157	270	19	test	test	NOUN
ijassa-157	270	20	for	for	ADP
ijassa-157	270	21	moving	move	VERB
ijassa-157	270	22	window	window	NOUN
ijassa-157	270	23	detection	detection	NOUN
ijassa-157	270	24	of	of	ADP
ijassa-157	270	25	a	a	DET
ijassa-157	270	26	signal	signal	NOUN
ijassa-157	270	27	in	in	ADP
ijassa-157	270	28	noise	noise	NOUN
ijassa-157	270	29	”	"	PUNCT
ijassa-157	270	30	,	,	PUNCT
ijassa-157	270	31	proceedings	proceeding	NOUN
ijassa-157	270	32	of	of	ADP
ijassa-157	270	33	the	the	DET
ijassa-157	270	34	5th	5th	ADJ
ijassa-157	270	35	international	international	ADJ
ijassa-157	270	36	symposium	symposium	NOUN
ijassa-157	270	37	on	on	ADP
ijassa-157	270	38	dsp	dsp	NOUN
ijassa-157	270	39	for	for	ADP
ijassa-157	270	40	communication	communication	NOUN
ijassa-157	270	41	systems	system	NOUN
ijassa-157	270	42	,	,	PUNCT
ijassa-157	270	43	curtin	curtin	PROPN
ijassa-157	270	44	university	university	PROPN
ijassa-157	270	45	of	of	ADP
ijassa-157	270	46	technology	technology	PROPN
ijassa-157	270	47	,	,	PUNCT
ijassa-157	270	48	perth	perth	PROPN
ijassa-157	270	49	-	-	PUNCT
ijassa-157	270	50	scarborough	scarborough	PROPN
ijassa-157	270	51	,	,	PUNCT
ijassa-157	270	52	australia	australia	PROPN
ijassa-157	270	53	,	,	PUNCT
ijassa-157	270	54	pp.134	pp.134	PROPN
ijassa-157	270	55	-	-	PUNCT
ijassa-157	270	56	141	141	NUM
ijassa-157	270	57	.	.	PUNCT
ijassa-157	271	1	[	[	X
ijassa-157	271	2	12	12	NUM
ijassa-157	271	3	]	]	X
ijassa-157	271	4	nechval	nechval	NOUN
ijassa-157	271	5	,	,	PUNCT
ijassa-157	271	6	n.a	n.a	PROPN
ijassa-157	271	7	.	.	PROPN
ijassa-157	271	8	,	,	PUNCT
ijassa-157	271	9	nechval	nechval	PROPN
ijassa-157	271	10	,	,	PUNCT
ijassa-157	271	11	k.n	k.n	PROPN
ijassa-157	271	12	.	.	PROPN
ijassa-157	271	13	,	,	PUNCT
ijassa-157	271	14	and	and	CCONJ
ijassa-157	271	15	purgailis	purgailis	PROPN
ijassa-157	271	16	,	,	PUNCT
ijassa-157	271	17	m.	m.	NOUN
ijassa-157	271	18	(	(	PUNCT
ijassa-157	271	19	2011	2011	NUM
ijassa-157	271	20	)	)	PUNCT
ijassa-157	271	21	,	,	PUNCT
ijassa-157	271	22	“	"	PUNCT
ijassa-157	271	23	statistical	statistical	ADJ
ijassa-157	271	24	pattern	pattern	NOUN
ijassa-157	271	25	recognition	recognition	NOUN
ijassa-157	271	26	principles	principle	NOUN
ijassa-157	271	27	”	"	PUNCT
ijassa-157	271	28	,	,	PUNCT
ijassa-157	271	29	international	international	ADJ
ijassa-157	271	30	encyclopedia	encyclopedia	NOUN
ijassa-157	271	31	of	of	ADP
ijassa-157	271	32	statistical	statistical	ADJ
ijassa-157	271	33	science	science	NOUN
ijassa-157	271	34	(	(	PUNCT
ijassa-157	271	35	edited	edit	VERB
ijassa-157	271	36	by	by	ADP
ijassa-157	271	37	miodrag	miodrag	PROPN
ijassa-157	271	38	lovric	lovric	PROPN
ijassa-157	271	39	)	)	PUNCT
ijassa-157	271	40	,	,	PUNCT
ijassa-157	271	41	springer	springer	NOUN
ijassa-157	271	42	-	-	PUNCT
ijassa-157	271	43	verlag	verlag	PROPN
ijassa-157	271	44	,	,	PUNCT
ijassa-157	271	45	berlin	berlin	PROPN
ijassa-157	271	46	,	,	PUNCT
ijassa-157	271	47	heidelberg	heidelberg	PROPN
ijassa-157	271	48	,	,	PUNCT
ijassa-157	271	49	part	part	NOUN
ijassa-157	271	50	19	19	NUM
ijassa-157	271	51	,	,	PUNCT
ijassa-157	271	52	pp.1453	pp.1453	NOUN
ijassa-157	271	53	-	-	NOUN
ijassa-157	271	54	1457	1457	NUM
ijassa-157	271	55	.	.	PUNCT
ijassa-157	272	1	corresponding	correspond	VERB
ijassa-157	272	2	author	author	NOUN
ijassa-157	272	3	konstantin	konstantin	PROPN
ijassa-157	272	4	n.	n.	PROPN
ijassa-157	272	5	nechval	nechval	PROPN
ijassa-157	272	6	can	can	AUX
ijassa-157	272	7	be	be	AUX
ijassa-157	272	8	contacted	contact	VERB
ijassa-157	272	9	at	at	ADP
ijassa-157	272	10	:	:	PUNCT
ijassa-157	272	11	konstan@tsi.lv	konstan@tsi.lv	PROPN
ijassa-157	272	12	.	.	PUNCT