id	sid	tid	token	lemma	pos
alkej-583	1	1	55	55	NUM
alkej-583	1	2	al	al	PROPN
alkej-583	1	3	-	-	PUNCT
alkej-583	1	4	khwarizmi	khwarizmi	PROPN
alkej-583	1	5	engineering	engineering	PROPN
alkej-583	1	6	journal	journal	PROPN
alkej-583	1	7	al	al	PROPN
alkej-583	1	8	-	-	PUNCT
alkej-583	1	9	khwarizmi	khwarizmi	PROPN
alkej-583	1	10	engineering	engineering	NOUN
alkej-583	1	11	journal	journal	PROPN
alkej-583	1	12	,	,	PUNCT
alkej-583	1	13	vol	vol	NOUN
alkej-583	1	14	.	.	PROPN
alkej-583	1	15	5	5	NUM
alkej-583	1	16	,	,	PUNCT
alkej-583	1	17	no	no	INTJ
alkej-583	1	18	.	.	NOUN
alkej-583	1	19	4	4	NUM
alkej-583	1	20	,	,	PUNCT
alkej-583	1	21	pp	pp	ADV
alkej-583	1	22	51	51	NUM
alkej-583	1	23	-	-	SYM
alkej-583	1	24	57	57	NUM
alkej-583	1	25	(	(	PUNCT
alkej-583	1	26	2009	2009	NUM
alkej-583	1	27	)	)	PUNCT
alkej-583	1	28	improve	improve	VERB
alkej-583	1	29	akaike	akaike	ADP
alkej-583	1	30	’s	’s	PART
alkej-583	1	31	information	information	NOUN
alkej-583	1	32	criterion	criterion	NOUN
alkej-583	1	33	estimation	estimation	NOUN
alkej-583	1	34	based	base	VERB
alkej-583	1	35	on	on	ADP
alkej-583	1	36	denoising	denoising	NOUN
alkej-583	1	37	of	of	ADP
alkej-583	1	38	quadrature	quadrature	NOUN
alkej-583	1	39	mirror	mirror	NOUN
alkej-583	1	40	filter	filter	NOUN
alkej-583	1	41	bank	bank	PROPN
alkej-583	1	42	mohammed	mohammed	PROPN
alkej-583	1	43	h.	h.	PROPN
alkej-583	1	44	miry	miry	PROPN
alkej-583	1	45	department	department	PROPN
alkej-583	1	46	of	of	ADP
alkej-583	1	47	electrical	electrical	ADJ
alkej-583	1	48	and	and	CCONJ
alkej-583	1	49	electronic	electronic	ADJ
alkej-583	1	50	engineering/	engineering/	NUM
alkej-583	1	51	university	university	NOUN
alkej-583	1	52	of	of	ADP
alkej-583	1	53	technology	technology	NOUN
alkej-583	1	54	(	(	PUNCT
alkej-583	1	55	received	receive	VERB
alkej-583	1	56	1	1	NUM
alkej-583	1	57	febreuary	febreuary	NOUN
alkej-583	1	58	2008	2008	NUM
alkej-583	1	59	;	;	PUNCT
alkej-583	1	60	accepted	accept	VERB
alkej-583	1	61	17	17	NUM
alkej-583	1	62	september	september	PROPN
alkej-583	1	63	2008	2008	NUM
alkej-583	1	64	)	)	PUNCT
alkej-583	1	65	abstract	abstract	ADJ
alkej-583	1	66	akaike	akaike	ADP
alkej-583	1	67	’s	’s	PART
alkej-583	1	68	information	information	NOUN
alkej-583	1	69	criterion	criterion	NOUN
alkej-583	1	70	(	(	PUNCT
alkej-583	1	71	aic	aic	PROPN
alkej-583	1	72	)	)	PUNCT
alkej-583	1	73	is	be	AUX
alkej-583	1	74	a	a	DET
alkej-583	1	75	popular	popular	ADJ
alkej-583	1	76	method	method	NOUN
alkej-583	1	77	for	for	ADP
alkej-583	1	78	estimation	estimation	NOUN
alkej-583	1	79	the	the	DET
alkej-583	1	80	number	number	NOUN
alkej-583	1	81	of	of	ADP
alkej-583	1	82	sources	source	NOUN
alkej-583	1	83	impinging	impinge	VERB
alkej-583	1	84	on	on	ADP
alkej-583	1	85	an	an	DET
alkej-583	1	86	array	array	NOUN
alkej-583	1	87	of	of	ADP
alkej-583	1	88	sensors	sensor	NOUN
alkej-583	1	89	,	,	PUNCT
alkej-583	1	90	which	which	PRON
alkej-583	1	91	is	be	AUX
alkej-583	1	92	a	a	DET
alkej-583	1	93	problem	problem	NOUN
alkej-583	1	94	of	of	ADP
alkej-583	1	95	great	great	ADJ
alkej-583	1	96	interest	interest	NOUN
alkej-583	1	97	in	in	ADP
alkej-583	1	98	several	several	ADJ
alkej-583	1	99	applications	application	NOUN
alkej-583	1	100	.	.	PUNCT
alkej-583	2	1	the	the	DET
alkej-583	2	2	performance	performance	NOUN
alkej-583	2	3	of	of	ADP
alkej-583	2	4	aic	aic	PROPN
alkej-583	2	5	degrades	degrade	VERB
alkej-583	2	6	under	under	ADP
alkej-583	2	7	low	low	ADJ
alkej-583	2	8	signal	signal	NOUN
alkej-583	2	9	-	-	PUNCT
alkej-583	2	10	to	to	ADP
alkej-583	2	11	-	-	PUNCT
alkej-583	2	12	noise	noise	NOUN
alkej-583	2	13	ratio	ratio	NOUN
alkej-583	2	14	(	(	PUNCT
alkej-583	2	15	snr	snr	PROPN
alkej-583	2	16	)	)	PUNCT
alkej-583	2	17	.	.	PUNCT
alkej-583	3	1	this	this	DET
alkej-583	3	2	paper	paper	NOUN
alkej-583	3	3	is	be	AUX
alkej-583	3	4	concerned	concern	VERB
alkej-583	3	5	with	with	ADP
alkej-583	3	6	the	the	DET
alkej-583	3	7	development	development	NOUN
alkej-583	3	8	and	and	CCONJ
alkej-583	3	9	application	application	NOUN
alkej-583	3	10	of	of	ADP
alkej-583	3	11	quadrature	quadrature	NOUN
alkej-583	3	12	mirror	mirror	NOUN
alkej-583	3	13	filters	filter	NOUN
alkej-583	3	14	(	(	PUNCT
alkej-583	3	15	qmf	qmf	NOUN
alkej-583	3	16	)	)	PUNCT
alkej-583	3	17	for	for	ADP
alkej-583	3	18	improving	improve	VERB
alkej-583	3	19	the	the	DET
alkej-583	3	20	performance	performance	NOUN
alkej-583	3	21	of	of	ADP
alkej-583	3	22	aic	aic	PROPN
alkej-583	3	23	.	.	PUNCT
alkej-583	4	1	a	a	DET
alkej-583	4	2	new	new	ADJ
alkej-583	4	3	system	system	NOUN
alkej-583	4	4	is	be	AUX
alkej-583	4	5	proposed	propose	VERB
alkej-583	4	6	to	to	PART
alkej-583	4	7	estimate	estimate	VERB
alkej-583	4	8	the	the	DET
alkej-583	4	9	number	number	NOUN
alkej-583	4	10	of	of	ADP
alkej-583	4	11	sources	source	NOUN
alkej-583	4	12	by	by	ADP
alkej-583	4	13	applying	apply	VERB
alkej-583	4	14	aic	aic	PROPN
alkej-583	4	15	to	to	ADP
alkej-583	4	16	the	the	DET
alkej-583	4	17	outputs	output	NOUN
alkej-583	4	18	of	of	ADP
alkej-583	4	19	filter	filter	NOUN
alkej-583	4	20	bank	bank	NOUN
alkej-583	4	21	consisting	consist	VERB
alkej-583	4	22	quadrature	quadrature	NOUN
alkej-583	4	23	mirror	mirror	NOUN
alkej-583	4	24	filters	filter	NOUN
alkej-583	4	25	(	(	PUNCT
alkej-583	4	26	qmf	qmf	NOUN
alkej-583	4	27	)	)	PUNCT
alkej-583	4	28	.	.	PUNCT
alkej-583	5	1	the	the	DET
alkej-583	5	2	proposed	propose	VERB
alkej-583	5	3	system	system	NOUN
alkej-583	5	4	can	can	AUX
alkej-583	5	5	estimate	estimate	VERB
alkej-583	5	6	the	the	DET
alkej-583	5	7	number	number	NOUN
alkej-583	5	8	of	of	ADP
alkej-583	5	9	sources	source	NOUN
alkej-583	5	10	under	under	ADP
alkej-583	5	11	low	low	ADJ
alkej-583	5	12	signal	signal	NOUN
alkej-583	5	13	-	-	PUNCT
alkej-583	5	14	to	to	ADP
alkej-583	5	15	-	-	PUNCT
alkej-583	5	16	noise	noise	NOUN
alkej-583	5	17	ratio	ratio	NOUN
alkej-583	5	18	(	(	PUNCT
alkej-583	5	19	snr	snr	PROPN
alkej-583	5	20	)	)	PUNCT
alkej-583	5	21	.	.	PUNCT
alkej-583	6	1	keywords	keyword	NOUN
alkej-583	6	2	:	:	PUNCT
alkej-583	6	3	akaike	akaike	ADP
alkej-583	6	4	’s	’s	PART
alkej-583	6	5	information	information	NOUN
alkej-583	6	6	criterion	criterion	NOUN
alkej-583	6	7	(	(	PUNCT
alkej-583	6	8	aic	aic	PROPN
alkej-583	6	9	)	)	PUNCT
alkej-583	6	10	,	,	PUNCT
alkej-583	6	11	quadrature	quadrature	NOUN
alkej-583	6	12	mirror	mirror	NOUN
alkej-583	6	13	filters	filter	NOUN
alkej-583	6	14	(	(	PUNCT
alkej-583	6	15	qmf	qmf	NOUN
alkej-583	6	16	)	)	PUNCT
alkej-583	6	17	.	.	PUNCT
alkej-583	7	1	1	1	X
alkej-583	7	2	.	.	X
alkej-583	7	3	introduction	introduction	NOUN
alkej-583	7	4	the	the	DET
alkej-583	7	5	quadrature	quadrature	NOUN
alkej-583	7	6	mirror	mirror	NOUN
alkej-583	7	7	filters	filter	NOUN
alkej-583	7	8	(	(	PUNCT
alkej-583	7	9	qmf	qmf	NOUN
alkej-583	7	10	)	)	PUNCT
alkej-583	7	11	has	have	AUX
alkej-583	7	12	diffused	diffuse	VERB
alkej-583	7	13	into	into	ADP
alkej-583	7	14	most	most	ADJ
alkej-583	7	15	signal	signal	ADJ
alkej-583	7	16	processing	processing	NOUN
alkej-583	7	17	applications	application	NOUN
alkej-583	7	18	.	.	PUNCT
alkej-583	8	1	it	it	PRON
alkej-583	8	2	plays	play	VERB
alkej-583	8	3	a	a	DET
alkej-583	8	4	very	very	ADV
alkej-583	8	5	important	important	ADJ
alkej-583	8	6	role	role	NOUN
alkej-583	8	7	in	in	ADP
alkej-583	8	8	the	the	DET
alkej-583	8	9	denoising	denoising	NOUN
alkej-583	8	10	of	of	ADP
alkej-583	8	11	signals	signal	NOUN
alkej-583	8	12	since	since	SCONJ
alkej-583	8	13	it	it	PRON
alkej-583	8	14	gives	give	VERB
alkej-583	8	15	an	an	DET
alkej-583	8	16	effective	effective	ADJ
alkej-583	8	17	,	,	PUNCT
alkej-583	8	18	informative	informative	ADJ
alkej-583	8	19	and	and	CCONJ
alkej-583	8	20	compact	compact	ADJ
alkej-583	8	21	description	description	NOUN
alkej-583	8	22	of	of	ADP
alkej-583	8	23	the	the	DET
alkej-583	8	24	analyzed	analyze	VERB
alkej-583	8	25	signals	signal	NOUN
alkej-583	8	26	.	.	PUNCT
alkej-583	9	1	in	in	ADP
alkej-583	9	2	1988	1988	NUM
alkej-583	9	3	,	,	PUNCT
alkej-583	9	4	mallat	mallat	PROPN
alkej-583	9	5	produced	produce	VERB
alkej-583	9	6	a	a	DET
alkej-583	9	7	fast	fast	ADJ
alkej-583	9	8	wavelet	wavelet	NOUN
alkej-583	9	9	transform	transform	NOUN
alkej-583	9	10	.	.	PUNCT
alkej-583	10	1	the	the	DET
alkej-583	10	2	mallat	mallat	ADJ
alkej-583	10	3	algorithm	algorithm	NOUN
alkej-583	10	4	for	for	ADP
alkej-583	10	5	discrete	discrete	ADJ
alkej-583	10	6	wavelet	wavelet	NOUN
alkej-583	10	7	transform	transform	NOUN
alkej-583	10	8	(	(	PUNCT
alkej-583	10	9	dwt	dwt	NOUN
alkej-583	10	10	)	)	PUNCT
alkej-583	10	11	is	be	AUX
alkej-583	10	12	known	know	VERB
alkej-583	10	13	as	as	ADP
alkej-583	10	14	quadrature	quadrature	NOUN
alkej-583	10	15	mirror	mirror	NOUN
alkej-583	10	16	filters	filter	NOUN
alkej-583	10	17	(	(	PUNCT
alkej-583	10	18	qmf	qmf	NOUN
alkej-583	10	19	)	)	PUNCT
alkej-583	11	1	[	[	X
alkej-583	11	2	1	1	NUM
alkej-583	11	3	-	-	SYM
alkej-583	11	4	3].this	3].this	NUM
alkej-583	11	5	property	property	NOUN
alkej-583	11	6	also	also	ADV
alkej-583	11	7	endows	endow	VERB
alkej-583	11	8	wavelets	wavelet	NOUN
alkej-583	11	9	with	with	ADP
alkej-583	11	10	a	a	DET
alkej-583	11	11	remarkable	remarkable	ADJ
alkej-583	11	12	aptitude	aptitude	NOUN
alkej-583	11	13	for	for	ADP
alkej-583	11	14	denoising	denoise	VERB
alkej-583	11	15	by	by	ADP
alkej-583	11	16	means	mean	NOUN
alkej-583	11	17	of	of	ADP
alkej-583	11	18	a	a	DET
alkej-583	11	19	simple	simple	ADJ
alkej-583	11	20	nonlinear	nonlinear	ADJ
alkej-583	11	21	thresholding	thresholde	VERB
alkej-583	11	22	filter	filter	NOUN
alkej-583	11	23	.	.	PUNCT
alkej-583	12	1	mallat	mallat	PROPN
alkej-583	12	2	and	and	CCONJ
alkej-583	12	3	hwang	hwang	PROPN
alkej-583	12	4	first	first	ADV
alkej-583	12	5	showed	show	VERB
alkej-583	12	6	that	that	SCONJ
alkej-583	12	7	effective	effective	ADJ
alkej-583	12	8	noise	noise	NOUN
alkej-583	12	9	suppression	suppression	NOUN
alkej-583	12	10	may	may	AUX
alkej-583	12	11	be	be	AUX
alkej-583	12	12	achieved	achieve	VERB
alkej-583	12	13	by	by	ADP
alkej-583	12	14	transforming	transform	VERB
alkej-583	12	15	the	the	DET
alkej-583	12	16	noisy	noisy	ADJ
alkej-583	12	17	signal	signal	NOUN
alkej-583	12	18	into	into	ADP
alkej-583	12	19	the	the	DET
alkej-583	12	20	wavelet	wavelet	NOUN
alkej-583	12	21	domain	domain	NOUN
alkej-583	12	22	by	by	ADP
alkej-583	12	23	qmf	qmf	NOUN
alkej-583	12	24	,	,	PUNCT
alkej-583	12	25	and	and	CCONJ
alkej-583	12	26	preserving	preserve	VERB
alkej-583	12	27	only	only	ADV
alkej-583	12	28	the	the	DET
alkej-583	12	29	local	local	ADJ
alkej-583	12	30	maxima	maxima	NOUN
alkej-583	12	31	of	of	ADP
alkej-583	12	32	the	the	DET
alkej-583	12	33	transform	transform	NOUN
alkej-583	12	34	.	.	PUNCT
alkej-583	13	1	a	a	DET
alkej-583	13	2	wavelet	wavelet	NOUN
alkej-583	13	3	reconstruction	reconstruction	NOUN
alkej-583	13	4	that	that	PRON
alkej-583	13	5	uses	use	VERB
alkej-583	13	6	only	only	ADV
alkej-583	13	7	large	large	ADJ
alkej-583	13	8	-	-	PUNCT
alkej-583	13	9	magnitude	magnitude	NOUN
alkej-583	13	10	coefficients	coefficient	NOUN
alkej-583	13	11	has	have	AUX
alkej-583	13	12	also	also	ADV
alkej-583	13	13	been	be	AUX
alkej-583	13	14	shown	show	VERB
alkej-583	13	15	to	to	PART
alkej-583	13	16	approximate	approximate	VERB
alkej-583	13	17	well	well	INTJ
alkej-583	13	18	the	the	DET
alkej-583	13	19	uncorrupted	uncorrupted	ADJ
alkej-583	13	20	signal	signal	NOUN
alkej-583	13	21	;	;	PUNCT
alkej-583	13	22	in	in	ADP
alkej-583	13	23	other	other	ADJ
alkej-583	13	24	words	word	NOUN
alkej-583	13	25	,	,	PUNCT
alkej-583	13	26	noise	noise	NOUN
alkej-583	13	27	suppression	suppression	NOUN
alkej-583	13	28	is	be	AUX
alkej-583	13	29	achieved	achieve	VERB
alkej-583	13	30	by	by	ADP
alkej-583	13	31	thresholding	thresholde	VERB
alkej-583	13	32	the	the	DET
alkej-583	13	33	wavelet	wavelet	NOUN
alkej-583	13	34	transform	transform	NOUN
alkej-583	13	35	of	of	ADP
alkej-583	13	36	the	the	DET
alkej-583	13	37	contaminated	contaminate	VERB
alkej-583	13	38	signal	signal	NOUN
alkej-583	13	39	.	.	PUNCT
alkej-583	14	1	the	the	DET
alkej-583	14	2	problem	problem	NOUN
alkej-583	14	3	of	of	ADP
alkej-583	14	4	estimating	estimate	VERB
alkej-583	14	5	the	the	DET
alkej-583	14	6	number	number	NOUN
alkej-583	14	7	of	of	ADP
alkej-583	14	8	sources	source	NOUN
alkej-583	14	9	impinging	impinge	VERB
alkej-583	14	10	on	on	ADP
alkej-583	14	11	a	a	DET
alkej-583	14	12	passive	passive	ADJ
alkej-583	14	13	array	array	NOUN
alkej-583	14	14	of	of	ADP
alkej-583	14	15	sensors	sensor	NOUN
alkej-583	14	16	has	have	AUX
alkej-583	14	17	received	receive	VERB
alkej-583	14	18	a	a	DET
alkej-583	14	19	considerable	considerable	ADJ
alkej-583	14	20	amount	amount	NOUN
alkej-583	14	21	of	of	ADP
alkej-583	14	22	attention	attention	NOUN
alkej-583	14	23	during	during	ADP
alkej-583	14	24	the	the	DET
alkej-583	14	25	last	last	ADJ
alkej-583	14	26	two	two	NUM
alkej-583	14	27	decades	decade	NOUN
alkej-583	14	28	.	.	PUNCT
alkej-583	15	1	the	the	DET
alkej-583	15	2	first	first	ADJ
alkej-583	15	3	to	to	PART
alkej-583	15	4	address	address	VERB
alkej-583	15	5	this	this	DET
alkej-583	15	6	problem	problem	NOUN
alkej-583	15	7	were	be	AUX
alkej-583	15	8	wax	wax	NOUN
alkej-583	15	9	and	and	CCONJ
alkej-583	15	10	kailath	kailath	NOUN
alkej-583	15	11	.	.	PUNCT
alkej-583	16	1	in	in	ADP
alkej-583	16	2	their	their	PRON
alkej-583	16	3	seminal	seminal	ADJ
alkej-583	16	4	work	work	NOUN
alkej-583	16	5	it	it	PRON
alkej-583	16	6	is	be	AUX
alkej-583	16	7	assumed	assume	VERB
alkej-583	16	8	that	that	SCONJ
alkej-583	16	9	the	the	DET
alkej-583	16	10	additive	additive	ADJ
alkej-583	16	11	noise	noise	NOUN
alkej-583	16	12	process	process	NOUN
alkej-583	16	13	is	be	AUX
alkej-583	16	14	a	a	DET
alkej-583	16	15	spatially	spatially	ADV
alkej-583	16	16	and	and	CCONJ
alkej-583	16	17	temporally	temporally	ADV
alkej-583	16	18	white	white	ADJ
alkej-583	16	19	gaussian	gaussian	ADJ
alkej-583	16	20	random	random	ADJ
alkej-583	16	21	process	process	NOUN
alkej-583	16	22	.	.	PUNCT
alkej-583	17	1	given	give	VERB
alkej-583	17	2	this	this	DET
alkej-583	17	3	assumption	assumption	NOUN
alkej-583	17	4	,	,	PUNCT
alkej-583	17	5	the	the	DET
alkej-583	17	6	number	number	NOUN
alkej-583	17	7	of	of	ADP
alkej-583	17	8	sources	source	NOUN
alkej-583	17	9	can	can	AUX
alkej-583	17	10	be	be	AUX
alkej-583	17	11	deduced	deduce	VERB
alkej-583	17	12	from	from	ADP
alkej-583	17	13	the	the	DET
alkej-583	17	14	multiplicity	multiplicity	NOUN
alkej-583	17	15	of	of	ADP
alkej-583	17	16	the	the	DET
alkej-583	17	17	received	receive	VERB
alkej-583	17	18	signal	signal	NOUN
alkej-583	17	19	correlation	correlation	NOUN
alkej-583	17	20	matrix	matrix	NOUN
alkej-583	17	21	’s	’s	PART
alkej-583	17	22	smallest	small	ADJ
alkej-583	17	23	eigenvalue	eigenvalue	NOUN
alkej-583	17	24	[	[	X
alkej-583	17	25	4	4	NUM
alkej-583	17	26	]	]	PUNCT
alkej-583	17	27	.	.	PUNCT
alkej-583	18	1	in	in	ADP
alkej-583	18	2	order	order	NOUN
alkej-583	18	3	to	to	PART
alkej-583	18	4	avoid	avoid	VERB
alkej-583	18	5	the	the	DET
alkej-583	18	6	use	use	NOUN
alkej-583	18	7	of	of	ADP
alkej-583	18	8	subjective	subjective	ADJ
alkej-583	18	9	thresholds	threshold	NOUN
alkej-583	18	10	required	require	VERB
alkej-583	18	11	by	by	ADP
alkej-583	18	12	multiple	multiple	ADJ
alkej-583	18	13	hypothesis	hypothesis	NOUN
alkej-583	18	14	testing	testing	NOUN
alkej-583	18	15	detectors	detector	NOUN
alkej-583	18	16	,	,	PUNCT
alkej-583	18	17	wax	wax	NOUN
alkej-583	18	18	and	and	CCONJ
alkej-583	18	19	kailath	kailath	NOUN
alkej-583	18	20	suggested	suggest	VERB
alkej-583	18	21	the	the	DET
alkej-583	18	22	use	use	NOUN
alkej-583	18	23	of	of	ADP
alkej-583	18	24	the	the	DET
alkej-583	18	25	akaike	akaike	NOUN
alkej-583	18	26	’s	’s	PART
alkej-583	18	27	information	information	NOUN
alkej-583	18	28	criterion	criterion	NOUN
alkej-583	18	29	(	(	PUNCT
alkej-583	18	30	aic)[5	aic)[5	PROPN
alkej-583	18	31	]	]	PUNCT
alkej-583	18	32	for	for	ADP
alkej-583	18	33	estimating	estimate	VERB
alkej-583	18	34	the	the	DET
alkej-583	18	35	number	number	NOUN
alkej-583	18	36	of	of	ADP
alkej-583	18	37	sources	source	NOUN
alkej-583	18	38	.	.	PUNCT
alkej-583	19	1	the	the	DET
alkej-583	19	2	aic	aic	PROPN
alkej-583	19	3	estimator	estimator	NOUN
alkej-583	19	4	can	can	AUX
alkej-583	19	5	be	be	AUX
alkej-583	19	6	interpreted	interpret	VERB
alkej-583	19	7	as	as	ADP
alkej-583	19	8	a	a	DET
alkej-583	19	9	test	test	NOUN
alkej-583	19	10	for	for	ADP
alkej-583	19	11	determining	determine	VERB
alkej-583	19	12	the	the	DET
alkej-583	19	13	multiplicity	multiplicity	NOUN
alkej-583	19	14	of	of	ADP
alkej-583	19	15	the	the	DET
alkej-583	19	16	smallest	small	ADJ
alkej-583	19	17	eigenvalue	eigenvalue	NOUN
alkej-583	19	18	[	[	X
alkej-583	19	19	5	5	NUM
alkej-583	19	20	]	]	PUNCT
alkej-583	19	21	,	,	PUNCT
alkej-583	19	22	but	but	CCONJ
alkej-583	19	23	its	its	PRON
alkej-583	19	24	response	response	NOUN
alkej-583	19	25	degrades	degrade	VERB
alkej-583	19	26	under	under	ADP
alkej-583	19	27	low	low	ADJ
alkej-583	19	28	signal	signal	NOUN
alkej-583	19	29	to	to	PART
alkej-583	19	30	noise	noise	VERB
alkej-583	19	31	ratio	ratio	NOUN
alkej-583	19	32	(	(	PUNCT
alkej-583	19	33	snr	snr	PROPN
alkej-583	19	34	)	)	PUNCT
alkej-583	19	35	condition	condition	NOUN
alkej-583	19	36	due	due	ADP
alkej-583	19	37	to	to	ADP
alkej-583	19	38	errors	error	NOUN
alkej-583	19	39	in	in	ADP
alkej-583	19	40	estimation	estimation	NOUN
alkej-583	19	41	the	the	DET
alkej-583	19	42	data	data	NOUN
alkej-583	19	43	covariance	covariance	NOUN
alkej-583	19	44	matrix	matrix	NOUN
alkej-583	19	45	from	from	ADP
alkej-583	19	46	finite	finite	PROPN
alkej-583	19	47	data	datum	NOUN
alkej-583	19	48	.	.	PUNCT
alkej-583	20	1	in	in	ADP
alkej-583	20	2	this	this	DET
alkej-583	20	3	paper	paper	NOUN
alkej-583	20	4	,	,	PUNCT
alkej-583	20	5	a	a	DET
alkej-583	20	6	new	new	ADJ
alkej-583	20	7	system	system	NOUN
alkej-583	20	8	is	be	AUX
alkej-583	20	9	proposed	propose	VERB
alkej-583	20	10	to	to	PART
alkej-583	20	11	determine	determine	VERB
alkej-583	20	12	the	the	DET
alkej-583	20	13	number	number	NOUN
alkej-583	20	14	of	of	ADP
alkej-583	20	15	sources	source	NOUN
alkej-583	20	16	using	use	VERB
alkej-583	20	17	aic	aic	PROPN
alkej-583	20	18	and	and	CCONJ
alkej-583	20	19	qmf	qmf	VERB
alkej-583	20	20	bank	bank	NOUN
alkej-583	20	21	.	.	PUNCT
alkej-583	21	1	the	the	DET
alkej-583	21	2	method	method	NOUN
alkej-583	21	3	can	can	AUX
alkej-583	21	4	estimate	estimate	VERB
alkej-583	21	5	the	the	DET
alkej-583	21	6	number	number	NOUN
alkej-583	21	7	of	of	ADP
alkej-583	21	8	sources	source	NOUN
alkej-583	21	9	under	under	ADP
alkej-583	21	10	low	low	ADJ
alkej-583	21	11	snr	snr	PROPN
alkej-583	21	12	environment	environment	NOUN
alkej-583	21	13	.	.	PUNCT
alkej-583	22	1	2	2	X
alkej-583	22	2	.	.	X
alkej-583	22	3	quadrature	quadrature	NOUN
alkej-583	22	4	mirror	mirror	NOUN
alkej-583	22	5	filter	filter	NOUN
alkej-583	22	6	quadrature	quadrature	NOUN
alkej-583	22	7	mirror	mirror	NOUN
alkej-583	22	8	filters	filter	NOUN
alkej-583	22	9	(	(	PUNCT
alkej-583	22	10	qmf	qmf	NOUN
alkej-583	22	11	)	)	PUNCT
alkej-583	22	12	is	be	AUX
alkej-583	22	13	the	the	DET
alkej-583	22	14	mallat	mallat	ADJ
alkej-583	22	15	algorithm	algorithm	NOUN
alkej-583	22	16	for	for	ADP
alkej-583	22	17	discrete	discrete	ADJ
alkej-583	22	18	wavelet	wavelet	NOUN
alkej-583	22	19	transform	transform	NOUN
alkej-583	22	20	(	(	PUNCT
alkej-583	22	21	dwt	dwt	NOUN
alkej-583	22	22	)	)	PUNCT
alkej-583	22	23	,	,	PUNCT
alkej-583	22	24	it	it	PRON
alkej-583	22	25	analyses	analyse	VERB
alkej-583	22	26	a	a	DET
alkej-583	22	27	finite	finite	ADJ
alkej-583	22	28	-	-	PUNCT
alkej-583	22	29	length	length	NOUN
alkej-583	22	30	time	time	NOUN
alkej-583	22	31	-	-	PUNCT
alkej-583	22	32	domain	domain	NOUN
alkej-583	22	33	signal	signal	NOUN
alkej-583	22	34	at	at	ADP
alkej-583	22	35	mohammed	mohammed	PROPN
alkej-583	22	36	h.	h.	PROPN
alkej-583	22	37	miry	miry	PROPN
alkej-583	22	38	al	al	PROPN
alkej-583	22	39	-	-	PUNCT
alkej-583	22	40	khwarizmi	khwarizmi	PROPN
alkej-583	22	41	engineering	engineering	NOUN
alkej-583	22	42	journal	journal	PROPN
alkej-583	22	43	,	,	PUNCT
alkej-583	22	44	vol.5	vol.5	PROPN
alkej-583	22	45	,	,	PUNCT
alkej-583	22	46	no	no	INTJ
alkej-583	22	47	.	.	NOUN
alkej-583	22	48	4	4	NUM
alkej-583	22	49	,	,	PUNCT
alkej-583	22	50	pp	pp	ADV
alkej-583	22	51	51	51	NUM
alkej-583	22	52	-	-	SYM
alkej-583	22	53	57	57	NUM
alkej-583	22	54	(	(	PUNCT
alkej-583	22	55	2009	2009	NUM
alkej-583	22	56	)	)	PUNCT
alkej-583	22	57	52	52	NUM
alkej-583	22	58	different	different	ADJ
alkej-583	22	59	frequency	frequency	NOUN
alkej-583	22	60	bands	band	NOUN
alkej-583	22	61	with	with	ADP
alkej-583	22	62	different	different	ADJ
alkej-583	22	63	resolutions	resolution	NOUN
alkej-583	22	64	by	by	ADP
alkej-583	22	65	successive	successive	ADJ
alkej-583	22	66	decomposition	decomposition	NOUN
alkej-583	22	67	into	into	ADP
alkej-583	22	68	coarse	coarse	ADJ
alkej-583	22	69	approximation	approximation	NOUN
alkej-583	22	70	and	and	CCONJ
alkej-583	22	71	detail	detail	NOUN
alkej-583	22	72	information	information	NOUN
alkej-583	22	73	as	as	SCONJ
alkej-583	22	74	shown	show	VERB
alkej-583	22	75	in	in	ADP
alkej-583	22	76	fig	fig	NOUN
alkej-583	22	77	(	(	PUNCT
alkej-583	22	78	1	1	NUM
alkej-583	22	79	)	)	PUNCT
alkej-583	22	80	.	.	PUNCT
alkej-583	23	1	approximations	approximation	NOUN
alkej-583	23	2	represent	represent	VERB
alkej-583	23	3	the	the	DET
alkej-583	23	4	slowly	slowly	ADV
alkej-583	23	5	changing	change	VERB
alkej-583	23	6	features	feature	NOUN
alkej-583	23	7	of	of	ADP
alkej-583	23	8	the	the	DET
alkej-583	23	9	signal	signal	NOUN
alkej-583	23	10	and	and	CCONJ
alkej-583	23	11	conversely	conversely	ADV
alkej-583	23	12	details	detail	NOUN
alkej-583	23	13	represent	represent	VERB
alkej-583	23	14	the	the	DET
alkej-583	23	15	rapidly	rapidly	ADV
alkej-583	23	16	changing	change	VERB
alkej-583	23	17	features	feature	NOUN
alkej-583	23	18	of	of	ADP
alkej-583	23	19	the	the	DET
alkej-583	23	20	signal	signal	NOUN
alkej-583	23	21	.	.	PUNCT
alkej-583	24	1	the	the	DET
alkej-583	24	2	impulse	impulse	ADJ
alkej-583	24	3	response	response	NOUN
alkej-583	24	4	of	of	ADP
alkej-583	24	5	the	the	DET
alkej-583	24	6	decomposition	decomposition	NOUN
alkej-583	24	7	and	and	CCONJ
alkej-583	24	8	reconstruction	reconstruction	NOUN
alkej-583	24	9	qmf	qmf	VERB
alkej-583	24	10	pairs	pair	NOUN
alkej-583	24	11	are	be	AUX
alkej-583	24	12	related	relate	VERB
alkej-583	24	13	by[6	by[6	NOUN
alkej-583	24	14	]	]	PUNCT
alkej-583	24	15	)	)	PUNCT
alkej-583	24	16	1()1	1()1	NUM
alkej-583	24	17	(	(	PUNCT
alkej-583	24	18	)	)	PUNCT
alkej-583	24	19	(	(	PUNCT
alkej-583	24	20	1	1	NUM
alkej-583	24	21	'	'	PART
alkej-583	24	22			PUNCT
alkej-583	24	23			NOUN
alkej-583	24	24	nhnl	nhnl	ADJ
alkej-583	24	25	n	n	CCONJ
alkej-583	24	26	)	)	PUNCT
alkej-583	24	27	1()1	1()1	NUM
alkej-583	24	28	(	(	PUNCT
alkej-583	24	29	)	)	PUNCT
alkej-583	24	30	(	(	PUNCT
alkej-583	24	31	1	1	NUM
alkej-583	24	32	'	'	PART
alkej-583	24	33			PUNCT
alkej-583	24	34			NOUN
alkej-583	24	35	nlnh	nlnh	NOUN
alkej-583	24	36	n	n	PROPN
alkej-583	24	37	…	…	PUNCT
alkej-583	24	38	(	(	PUNCT
alkej-583	24	39	1	1	NUM
alkej-583	24	40	)	)	PUNCT
alkej-583	24	41	where	where	SCONJ
alkej-583	24	42	h(n	h(n	PROPN
alkej-583	24	43	)	)	PUNCT
alkej-583	24	44	and	and	CCONJ
alkej-583	24	45	l(n	l(n	PROPN
alkej-583	24	46	)	)	PUNCT
alkej-583	24	47	are	be	AUX
alkej-583	24	48	the	the	DET
alkej-583	24	49	low	low	ADJ
alkej-583	24	50	-	-	PUNCT
alkej-583	24	51	pass	pass	NOUN
alkej-583	24	52	and	and	CCONJ
alkej-583	24	53	the	the	DET
alkej-583	24	54	highpass	highpass	NOUN
alkej-583	24	55	fir	fir	NOUN
alkej-583	24	56	filters	filter	NOUN
alkej-583	24	57	of	of	ADP
alkej-583	24	58	decomposition	decomposition	NOUN
alkej-583	24	59	qmf	qmf	NOUN
alkej-583	24	60	and	and	CCONJ
alkej-583	24	61	h	h	NOUN
alkej-583	24	62	'	'	PUNCT
alkej-583	24	63	(	(	PUNCT
alkej-583	24	64	n	n	CCONJ
alkej-583	24	65	)	)	PUNCT
alkej-583	24	66	and	and	CCONJ
alkej-583	24	67	l	l	NOUN
alkej-583	24	68	'	'	PUNCT
alkej-583	24	69	(	(	PUNCT
alkej-583	24	70	n	n	CCONJ
alkej-583	24	71	)	)	PUNCT
alkej-583	24	72	are	be	AUX
alkej-583	24	73	the	the	DET
alkej-583	24	74	low	low	ADJ
alkej-583	24	75	-	-	PUNCT
alkej-583	24	76	pass	pass	NOUN
alkej-583	24	77	and	and	CCONJ
alkej-583	24	78	the	the	DET
alkej-583	24	79	high	high	ADJ
alkej-583	24	80	-	-	PUNCT
alkej-583	24	81	pass	pass	NOUN
alkej-583	24	82	fir	fir	NOUN
alkej-583	24	83	filters	filter	NOUN
alkej-583	24	84	of	of	ADP
alkej-583	24	85	reconstruction	reconstruction	NOUN
alkej-583	24	86	qmf	qmf	NOUN
alkej-583	24	87	.	.	PUNCT
alkej-583	25	1	the	the	DET
alkej-583	25	2	decomposition	decomposition	NOUN
alkej-583	25	3	level	level	NOUN
alkej-583	25	4	of	of	ADP
alkej-583	25	5	qmf	qmf	NOUN
alkej-583	25	6	bank	bank	NOUN
alkej-583	25	7	is	be	AUX
alkej-583	25	8	denoted	denote	VERB
alkej-583	25	9	by	by	ADP
alkej-583	25	10	m	m	PROPN
alkej-583	25	11	(	(	PUNCT
alkej-583	25	12	select	select	VERB
alkej-583	25	13	a	a	DET
alkej-583	25	14	suitable	suitable	ADJ
alkej-583	25	15	number	number	NOUN
alkej-583	25	16	of	of	ADP
alkej-583	25	17	levels	level	NOUN
alkej-583	25	18	based	base	VERB
alkej-583	25	19	on	on	ADP
alkej-583	25	20	the	the	DET
alkej-583	25	21	nature	nature	NOUN
alkej-583	25	22	of	of	ADP
alkej-583	25	23	the	the	DET
alkej-583	25	24	signals	signal	NOUN
alkej-583	25	25	,	,	PUNCT
alkej-583	25	26	or	or	CCONJ
alkej-583	25	27	on	on	ADP
alkej-583	25	28	a	a	DET
alkej-583	25	29	suitable	suitable	ADJ
alkej-583	25	30	criteria	criterion	NOUN
alkej-583	25	31	such	such	ADJ
alkej-583	25	32	as	as	ADP
alkej-583	25	33	entropy	entropy	NOUN
alkej-583	25	34	)	)	PUNCT
alkej-583	25	35	.	.	PUNCT
alkej-583	26	1	the	the	DET
alkej-583	26	2	wavelet	wavelet	PROPN
alkej-583	26	3	de	de	PROPN
alkej-583	26	4	-	-	ADJ
alkej-583	26	5	noising	noising	ADJ
alkej-583	26	6	approach	approach	NOUN
alkej-583	26	7	is	be	AUX
alkej-583	26	8	based	base	VERB
alkej-583	26	9	on	on	ADP
alkej-583	26	10	the	the	DET
alkej-583	26	11	assumption	assumption	NOUN
alkej-583	26	12	that	that	SCONJ
alkej-583	26	13	random	random	ADJ
alkej-583	26	14	errors	error	NOUN
alkej-583	26	15	in	in	ADP
alkej-583	26	16	a	a	DET
alkej-583	26	17	signal	signal	NOUN
alkej-583	26	18	are	be	AUX
alkej-583	26	19	present	present	ADJ
alkej-583	26	20	over	over	ADP
alkej-583	26	21	all	all	DET
alkej-583	26	22	the	the	DET
alkej-583	26	23	coefficients	coefficient	NOUN
alkej-583	26	24	while	while	SCONJ
alkej-583	26	25	deterministic	deterministic	ADJ
alkej-583	26	26	changes	change	NOUN
alkej-583	26	27	get	get	AUX
alkej-583	26	28	captured	capture	VERB
alkej-583	26	29	in	in	ADP
alkej-583	26	30	a	a	DET
alkej-583	26	31	small	small	ADJ
alkej-583	26	32	number	number	NOUN
alkej-583	26	33	of	of	ADP
alkej-583	26	34	relatively	relatively	ADV
alkej-583	26	35	large	large	ADJ
alkej-583	26	36	coefficients	coefficient	NOUN
alkej-583	26	37	.	.	PUNCT
alkej-583	27	1	as	as	ADP
alkej-583	27	2	a	a	DET
alkej-583	27	3	result	result	NOUN
alkej-583	27	4	,	,	PUNCT
alkej-583	27	5	a	a	DET
alkej-583	27	6	nonlinear	nonlinear	ADJ
alkej-583	27	7	thresholding	thresholding	NOUN
alkej-583	27	8	(	(	PUNCT
alkej-583	27	9	shrinking	shrinking	NOUN
alkej-583	27	10	)	)	PUNCT
alkej-583	27	11	function	function	NOUN
alkej-583	27	12	in	in	ADP
alkej-583	27	13	the	the	DET
alkej-583	27	14	wavelet	wavelet	NOUN
alkej-583	27	15	domain	domain	NOUN
alkej-583	27	16	will	will	AUX
alkej-583	27	17	tend	tend	VERB
alkej-583	27	18	to	to	PART
alkej-583	27	19	keep	keep	VERB
alkej-583	27	20	a	a	DET
alkej-583	27	21	few	few	ADJ
alkej-583	27	22	larger	large	ADJ
alkej-583	27	23	coefficients	coefficient	NOUN
alkej-583	27	24	representing	represent	VERB
alkej-583	27	25	the	the	DET
alkej-583	27	26	underlying	underlie	VERB
alkej-583	27	27	signal	signal	NOUN
alkej-583	27	28	,	,	PUNCT
alkej-583	27	29	while	while	SCONJ
alkej-583	27	30	the	the	DET
alkej-583	27	31	noise	noise	NOUN
alkej-583	27	32	coefficients	coefficient	NOUN
alkej-583	27	33	will	will	AUX
alkej-583	27	34	tend	tend	VERB
alkej-583	27	35	to	to	PART
alkej-583	27	36	reduce	reduce	VERB
alkej-583	27	37	to	to	ADP
alkej-583	27	38	zero	zero	NUM
alkej-583	27	39	.	.	PUNCT
alkej-583	28	1	practically	practically	ADV
alkej-583	28	2	,	,	PUNCT
alkej-583	28	3	the	the	DET
alkej-583	28	4	wavelet	wavelet	NOUN
alkej-583	28	5	denoising	denoising	NOUN
alkej-583	28	6	method	method	NOUN
alkej-583	28	7	consists	consist	VERB
alkej-583	28	8	of	of	ADP
alkej-583	28	9	applying	apply	VERB
alkej-583	28	10	the	the	DET
alkej-583	28	11	qmf	qmf	NOUN
alkej-583	28	12	bank	bank	NOUN
alkej-583	28	13	to	to	ADP
alkej-583	28	14	the	the	DET
alkej-583	28	15	original	original	ADJ
alkej-583	28	16	noisy	noisy	ADJ
alkej-583	28	17	data	datum	NOUN
alkej-583	28	18	,	,	PUNCT
alkej-583	28	19	thresholding	thresholde	VERB
alkej-583	28	20	the	the	DET
alkej-583	28	21	wavelet	wavelet	NOUN
alkej-583	28	22	coefficients	coefficient	NOUN
alkej-583	28	23	,	,	PUNCT
alkej-583	28	24	and	and	CCONJ
alkej-583	28	25	then	then	ADV
alkej-583	28	26	inverse	inverse	NOUN
alkej-583	28	27	transforming	transform	VERB
alkej-583	28	28	the	the	DET
alkej-583	28	29	thresholded	thresholde	VERB
alkej-583	28	30	coefficients	coefficient	NOUN
alkej-583	28	31	to	to	PART
alkej-583	28	32	obtain	obtain	VERB
alkej-583	28	33	the	the	DET
alkej-583	28	34	time	time	NOUN
alkej-583	28	35	-	-	PUNCT
alkej-583	28	36	domain	domain	NOUN
alkej-583	28	37	de	de	ADJ
alkej-583	28	38	-	-	ADJ
alkej-583	28	39	noised	noised	ADJ
alkej-583	28	40	data	datum	NOUN
alkej-583	28	41	[	[	X
alkej-583	28	42	7	7	NUM
alkej-583	28	43	]	]	PUNCT
alkej-583	28	44	.	.	PUNCT
alkej-583	29	1	it	it	PRON
alkej-583	29	2	should	should	AUX
alkej-583	29	3	be	be	AUX
alkej-583	29	4	noted	note	VERB
alkej-583	29	5	that	that	SCONJ
alkej-583	29	6	the	the	DET
alkej-583	29	7	performance	performance	NOUN
alkej-583	29	8	of	of	ADP
alkej-583	29	9	the	the	DET
alkej-583	29	10	wavelet	wavelet	NOUN
alkej-583	29	11	de	de	X
alkej-583	29	12	-	-	ADJ
alkej-583	29	13	noising	noising	NOUN
alkej-583	29	14	depends	depend	VERB
alkej-583	29	15	to	to	ADP
alkej-583	29	16	the	the	DET
alkej-583	29	17	choice	choice	NOUN
alkej-583	29	18	of	of	ADP
alkej-583	29	19	the	the	DET
alkej-583	29	20	thresholding	thresholding	NOUN
alkej-583	29	21	rule	rule	NOUN
alkej-583	29	22	,	,	PUNCT
alkej-583	29	23	the	the	DET
alkej-583	29	24	type	type	NOUN
alkej-583	29	25	of	of	ADP
alkej-583	29	26	wavelet	wavelet	NOUN
alkej-583	29	27	,	,	PUNCT
alkej-583	29	28	the	the	DET
alkej-583	29	29	maximum	maximum	ADJ
alkej-583	29	30	depth	depth	NOUN
alkej-583	29	31	of	of	ADP
alkej-583	29	32	wavelet	wavelet	NOUN
alkej-583	29	33	decomposition	decomposition	NOUN
alkej-583	29	34	and	and	CCONJ
alkej-583	29	35	the	the	DET
alkej-583	29	36	initial	initial	ADJ
alkej-583	29	37	snr	snr	NOUN
alkej-583	29	38	.	.	PUNCT
alkej-583	30	1	in	in	ADP
alkej-583	30	2	this	this	DET
alkej-583	30	3	paper	paper	NOUN
alkej-583	30	4	,	,	PUNCT
alkej-583	30	5	we	we	PRON
alkej-583	30	6	use	use	VERB
alkej-583	30	7	soft	soft	ADJ
alkej-583	30	8	thresholding	thresholding	NOUN
alkej-583	30	9	method	method	NOUN
alkej-583	30	10	to	to	PART
alkej-583	30	11	eliminate	eliminate	VERB
alkej-583	30	12	noise	noise	NOUN
alkej-583	30	13	from	from	ADP
alkej-583	30	14	noisy	noisy	ADJ
alkej-583	30	15	data	datum	NOUN
alkej-583	30	16	.	.	PUNCT
alkej-583	31	1	according	accord	VERB
alkej-583	31	2	to	to	ADP
alkej-583	31	3	soft	soft	ADJ
alkej-583	31	4	thresholding	thresholding	NOUN
alkej-583	31	5	method	method	NOUN
alkej-583	31	6	,	,	PUNCT
alkej-583	31	7	the	the	DET
alkej-583	31	8	wavelet	wavelet	NOUN
alkej-583	31	9	coefficient	coefficient	NOUN
alkej-583	31	10	between	between	ADP
alkej-583	31	11	-δ	-δ	PUNCT
alkej-583	31	12	and	and	CCONJ
alkej-583	31	13	δ	δ	PROPN
alkej-583	31	14	is	be	AUX
alkej-583	31	15	set	set	VERB
alkej-583	31	16	zero	zero	NUM
alkej-583	31	17	[	[	X
alkej-583	31	18	8	8	NUM
alkej-583	31	19	]	]	PUNCT
alkej-583	31	20	,	,	PUNCT
alkej-583	31	21	while	while	SCONJ
alkej-583	31	22	the	the	DET
alkej-583	31	23	other	other	ADJ
alkej-583	31	24	are	be	AUX
alkej-583	31	25	shrunk	shrink	VERB
alkej-583	31	26	in	in	ADP
alkej-583	31	27	absolute	absolute	ADJ
alkej-583	31	28	value	value	NOUN
alkej-583	31	29	.	.	PUNCT
alkej-583	32	1	the	the	DET
alkej-583	32	2	threshold	threshold	NOUN
alkej-583	32	3	δ	δ	PROPN
alkej-583	32	4	proposed	propose	VERB
alkej-583	32	5	by	by	ADP
alkej-583	32	6	donoho	donoho	NOUN
alkej-583	32	7	is	be	AUX
alkej-583	32	8	)	)	PUNCT
alkej-583	32	9	log(2	log(2	PROPN
alkej-583	32	10	n	n	VERB
alkej-583	33	1			NUM
alkej-583	33	2	…	…	PUNCT
alkej-583	33	3	(	(	PUNCT
alkej-583	33	4	2	2	NUM
alkej-583	33	5	)	)	PUNCT
alkej-583	33	6	where	where	SCONJ
alkej-583	33	7	n	n	PRON
alkej-583	33	8	is	be	AUX
alkej-583	33	9	the	the	DET
alkej-583	33	10	total	total	ADJ
alkej-583	33	11	number	number	NOUN
alkej-583	33	12	of	of	ADP
alkej-583	33	13	samples	sample	NOUN
alkej-583	33	14	and	and	CCONJ
alkej-583	33	15	σ	σ	PROPN
alkej-583	33	16	is	be	AUX
alkej-583	33	17	the	the	DET
alkej-583	33	18	standard	standard	ADJ
alkej-583	33	19	deviation	deviation	NOUN
alkej-583	33	20	of	of	ADP
alkej-583	33	21	noise	noise	NOUN
alkej-583	33	22	.	.	PUNCT
alkej-583	34	1	in	in	ADP
alkej-583	34	2	order	order	NOUN
alkej-583	34	3	to	to	PART
alkej-583	34	4	apply	apply	VERB
alkej-583	34	5	this	this	DET
alkej-583	34	6	method	method	NOUN
alkej-583	34	7	in	in	ADP
alkej-583	34	8	practice	practice	NOUN
alkej-583	34	9	,	,	PUNCT
alkej-583	34	10	one	one	PRON
alkej-583	34	11	usually	usually	ADV
alkej-583	34	12	needs	need	VERB
alkej-583	34	13	to	to	PART
alkej-583	34	14	estimate	estimate	VERB
alkej-583	34	15	σ	σ	PROPN
alkej-583	34	16	.	.	PUNCT
alkej-583	34	17	donoho	donoho	PROPN
alkej-583	34	18	&	&	CCONJ
alkej-583	34	19	johnstone	johnstone	PROPN
alkej-583	34	20	suggest	suggest	VERB
alkej-583	34	21	using	use	VERB
alkej-583	34	22	as	as	ADP
alkej-583	34	23	an	an	DET
alkej-583	34	24	estimator	estimator	NOUN
alkej-583	34	25	the	the	DET
alkej-583	34	26	median	median	NOUN
alkej-583	34	27	of	of	ADP
alkej-583	34	28	the	the	DET
alkej-583	34	29	coefficients	coefficient	NOUN
alkej-583	34	30	on	on	ADP
alkej-583	34	31	the	the	DET
alkej-583	34	32	finest	fine	ADJ
alkej-583	34	33	level	level	NOUN
alkej-583	34	34	divided	divide	VERB
alkej-583	34	35	by	by	ADP
alkej-583	34	36	0.6745	0.6745	NUM
alkej-583	34	37	which	which	PRON
alkej-583	34	38	usually	usually	ADV
alkej-583	34	39	works	work	VERB
alkej-583	34	40	well	well	ADV
alkej-583	34	41	as	as	ADV
alkej-583	34	42	long	long	ADV
alkej-583	34	43	as	as	SCONJ
alkej-583	34	44	the	the	DET
alkej-583	34	45	signal	signal	NOUN
alkej-583	34	46	is	be	AUX
alkej-583	34	47	contained	contain	VERB
alkej-583	34	48	mainly	mainly	ADV
alkej-583	34	49	in	in	ADP
alkej-583	34	50	the	the	DET
alkej-583	34	51	low	low	ADJ
alkej-583	34	52	frequency	frequency	NOUN
alkej-583	34	53	coefficients	coefficient	NOUN
alkej-583	34	54	[	[	X
alkej-583	34	55	8	8	NUM
alkej-583	34	56	]	]	SYM
alkej-583	34	57	.	.	PUNCT
alkej-583	35	1	2	2	NUM
alkej-583	35	2	2	2	NUM
alkej-583	35	3	2	2	NUM
alkej-583	35	4	a1	a1	NOUN
alkej-583	35	5	fig.1	fig.1	PROPN
alkej-583	35	6	.	.	PUNCT
alkej-583	36	1	structure	structure	NOUN
alkej-583	36	2	of	of	ADP
alkej-583	36	3	the	the	DET
alkej-583	36	4	qmf	qmf	NOUN
alkej-583	36	5	bank	bank	NOUN
alkej-583	36	6	.	.	PUNCT
alkej-583	37	1	s	s	PART
alkej-583	38	1	=	=	NOUN
alkej-583	38	2	signal	signal	NOUN
alkej-583	38	3	,	,	PUNCT
alkej-583	38	4	l	l	NOUN
alkej-583	38	5	=	=	SYM
alkej-583	38	6	low	low	ADJ
alkej-583	38	7	-	-	PUNCT
alkej-583	38	8	pass	pass	NOUN
alkej-583	38	9	decomposition	decomposition	NOUN
alkej-583	38	10	filter	filter	NOUN
alkej-583	38	11	;	;	PUNCT
alkej-583	38	12	h	h	NOUN
alkej-583	38	13	=	=	NOUN
alkej-583	38	14	high	high	ADJ
alkej-583	38	15	-	-	PUNCT
alkej-583	38	16	pass	pass	NOUN
alkej-583	38	17	decomposition	decomposition	NOUN
alkej-583	38	18	,	,	PUNCT
alkej-583	38	19	l	l	NOUN
alkej-583	38	20	'	'	PUNCT
alkej-583	38	21	=	=	ADJ
alkej-583	38	22	low	low	ADJ
alkej-583	38	23	-	-	PUNCT
alkej-583	38	24	pass	pass	NOUN
alkej-583	38	25	reconstruction	reconstruction	NOUN
alkej-583	38	26	filter	filter	NOUN
alkej-583	38	27	;	;	PUNCT
alkej-583	38	28	h	h	NOUN
alkej-583	38	29	'	'	PUNCT
alkej-583	38	30	=	=	VERB
alkej-583	38	31	high	high	ADJ
alkej-583	38	32	-	-	PUNCT
alkej-583	38	33	pass	pass	NOUN
alkej-583	38	34	reconstruction	reconstruction	NOUN
alkej-583	38	35	filter	filter	NOUN
alkej-583	38	36	filter	filter	NOUN
alkej-583	38	37	;	;	PUNCT
alkej-583	38	38	=	=	SYM
alkej-583	38	39	down	down	ADV
alkej-583	38	40	-	-	PUNCT
alkej-583	38	41	sampling	sample	VERB
alkej-583	38	42	operation	operation	NOUN
alkej-583	38	43	,	,	PUNCT
alkej-583	38	44	=	=	SYM
alkej-583	38	45	up	up	ADP
alkej-583	38	46	-	-	PUNCT
alkej-583	38	47	sampling	sample	VERB
alkej-583	38	48	operation	operation	NOUN
alkej-583	38	49	.	.	PUNCT
alkej-583	39	1	a	a	DET
alkej-583	39	2	1	1	NUM
alkej-583	39	3	,	,	PUNCT
alkej-583	39	4	a	a	DET
alkej-583	39	5	2	2	NUM
alkej-583	39	6	are	be	AUX
alkej-583	39	7	the	the	DET
alkej-583	39	8	approximated	approximated	ADJ
alkej-583	39	9	coefficient	coefficient	NOUN
alkej-583	39	10	of	of	ADP
alkej-583	39	11	the	the	DET
alkej-583	39	12	original	original	ADJ
alkej-583	39	13	signal	signal	NOUN
alkej-583	39	14	at	at	ADP
alkej-583	39	15	levels	level	NOUN
alkej-583	39	16	1	1	NUM
alkej-583	39	17	,	,	PUNCT
alkej-583	39	18	2	2	NUM
alkej-583	39	19	etc	etc	X
alkej-583	39	20	.	.	X
alkej-583	40	1	d	d	NOUN
alkej-583	40	2	1	1	NUM
alkej-583	40	3	,	,	PUNCT
alkej-583	40	4	d	d	PROPN
alkej-583	40	5	2	2	NUM
alkej-583	40	6	are	be	AUX
alkej-583	40	7	the	the	DET
alkej-583	40	8	detailed	detailed	ADJ
alkej-583	40	9	coefficient	coefficient	NOUN
alkej-583	40	10	at	at	ADP
alkej-583	40	11	levels	level	NOUN
alkej-583	40	12	1,2	1,2	NUM
alkej-583	40	13	.	.	PUNCT
alkej-583	41	1	a	a	DET
alkej-583	41	2	1	1	NUM
alkej-583	41	3	'	'	NUM
alkej-583	41	4	,	,	PUNCT
alkej-583	41	5	a	a	DET
alkej-583	41	6	2	2	NUM
alkej-583	41	7	'	'	PUNCT
alkej-583	41	8	are	be	AUX
alkej-583	41	9	the	the	DET
alkej-583	41	10	processed	process	VERB
alkej-583	41	11	or	or	CCONJ
alkej-583	41	12	non	non	ADJ
alkej-583	41	13	-	-	ADJ
alkej-583	41	14	processed	processed	ADJ
alkej-583	41	15	approximated	approximate	VERB
alkej-583	41	16	coefficient	coefficient	NOUN
alkej-583	41	17	of	of	ADP
alkej-583	41	18	the	the	DET
alkej-583	41	19	original	original	ADJ
alkej-583	41	20	signal	signal	NOUN
alkej-583	41	21	at	at	ADP
alkej-583	41	22	levels	level	NOUN
alkej-583	41	23	1	1	NUM
alkej-583	41	24	,	,	PUNCT
alkej-583	41	25	2	2	NUM
alkej-583	41	26	etc	etc	X
alkej-583	41	27	.	.	X
alkej-583	42	1	d	d	ADP
alkej-583	42	2	1	1	NUM
alkej-583	42	3	'	'	NOUN
alkej-583	42	4	,	,	PUNCT
alkej-583	42	5	d	d	PROPN
alkej-583	42	6	2	2	NUM
alkej-583	42	7	'	'	PUNCT
alkej-583	42	8	are	be	AUX
alkej-583	42	9	the	the	DET
alkej-583	42	10	processed	process	VERB
alkej-583	42	11	or	or	CCONJ
alkej-583	42	12	non	non	ADJ
alkej-583	42	13	-	-	ADJ
alkej-583	42	14	processed	processed	ADJ
alkej-583	42	15	detailed	detailed	ADJ
alkej-583	42	16	coefficient	coefficient	NOUN
alkej-583	42	17	at	at	ADP
alkej-583	42	18	levels	level	NOUN
alkej-583	42	19	1,2	1,2	NUM
alkej-583	42	20	.	.	NOUN
alkej-583	42	21	2	2	NUM
alkej-583	42	22	2	2	NUM
alkej-583	42	23	analysis	analysis	NOUN
alkej-583	42	24	decomposition	decomposition	NOUN
alkej-583	42	25	synthesis	synthesis	NOUN
alkej-583	42	26	reconstruction	reconstruction	NOUN
alkej-583	42	27	original	original	ADJ
alkej-583	42	28	signal	signal	NOUN
alkej-583	42	29	level	level	NOUN
alkej-583	42	30	1	1	NUM
alkej-583	42	31	level	level	NOUN
alkej-583	42	32	1	1	NUM
alkej-583	42	33	level	level	NOUN
alkej-583	42	34	2	2	NUM
alkej-583	42	35	level	level	NOUN
alkej-583	42	36	2	2	NUM
alkej-583	42	37	reconstructed	reconstruct	VERB
alkej-583	42	38	signal	signal	NOUN
alkej-583	42	39	2	2	NUM
alkej-583	42	40	2	2	NUM
alkej-583	42	41	2	2	NUM
alkej-583	42	42	2	2	NUM
alkej-583	42	43	2	2	NUM
alkej-583	42	44	a2	a2	PROPN
alkej-583	42	45	d2	d2	NOUN
alkej-583	42	46	d1	d1	PROPN
alkej-583	42	47	d1	d1	NOUN
alkej-583	42	48	'	'	PART
alkej-583	42	49	d2	d2	PROPN
alkej-583	42	50	'	'	PUNCT
alkej-583	42	51	a2	a2	PROPN
alkej-583	42	52	'	'	PART
alkej-583	42	53	a1	a1	PROPN
alkej-583	42	54	'	'	PUNCT
alkej-583	42	55	mohammed	mohammed	PROPN
alkej-583	42	56	h.	h.	PROPN
alkej-583	42	57	miry	miry	PROPN
alkej-583	42	58	al	al	PROPN
alkej-583	42	59	-	-	PUNCT
alkej-583	42	60	khwarizmi	khwarizmi	PROPN
alkej-583	42	61	engineering	engineering	NOUN
alkej-583	42	62	journal	journal	PROPN
alkej-583	42	63	,	,	PUNCT
alkej-583	42	64	vol.5	vol.5	PROPN
alkej-583	42	65	,	,	PUNCT
alkej-583	42	66	no	no	INTJ
alkej-583	42	67	.	.	NOUN
alkej-583	42	68	4	4	NUM
alkej-583	42	69	,	,	PUNCT
alkej-583	42	70	pp	pp	ADV
alkej-583	42	71	51	51	NUM
alkej-583	42	72	-	-	SYM
alkej-583	42	73	57	57	NUM
alkej-583	42	74	(	(	PUNCT
alkej-583	42	75	2009	2009	NUM
alkej-583	42	76	)	)	PUNCT
alkej-583	42	77	55	55	NUM
alkej-583	42	78	3	3	NUM
alkej-583	42	79	.	.	PUNCT
alkej-583	43	1	aic	aic	PROPN
alkej-583	43	2	principle	principle	NOUN
alkej-583	43	3	the	the	DET
alkej-583	43	4	array	array	NOUN
alkej-583	43	5	model	model	NOUN
alkej-583	43	6	assumes	assume	VERB
alkej-583	43	7	the	the	DET
alkej-583	43	8	presence	presence	NOUN
alkej-583	43	9	of	of	ADP
alkej-583	43	10	q	q	PROPN
alkej-583	43	11	sources	source	NOUN
alkej-583	43	12	impinging	impinge	VERB
alkej-583	43	13	on	on	ADP
alkej-583	43	14	an	an	DET
alkej-583	43	15	p	p	ADJ
alkej-583	43	16	-	-	PUNCT
alkej-583	43	17	channel	channel	NOUN
alkej-583	43	18	array	array	NOUN
alkej-583	43	19	according	accord	VERB
alkej-583	43	20	to	to	ADP
alkej-583	43	21	[	[	X
alkej-583	43	22	9	9	NUM
alkej-583	43	23	]	]	X
alkej-583	43	24	zasy	zasy	X
alkej-583	43	25			PROPN
alkej-583	43	26	…	…	PUNCT
alkej-583	43	27	(	(	PUNCT
alkej-583	43	28	3	3	NUM
alkej-583	43	29	)	)	PUNCT
alkej-583	43	30	where	where	SCONJ
alkej-583	43	31	npy	npy	PROPN
alkej-583	43	32			PROPN
alkej-583	43	33	denotes	denote	VERB
alkej-583	43	34	the	the	DET
alkej-583	43	35	multichannel	multichannel	ADJ
alkej-583	43	36	observations	observation	NOUN
alkej-583	43	37	in	in	ADP
alkej-583	43	38	the	the	DET
alkej-583	43	39	sampled	sample	VERB
alkej-583	43	40	time	time	NOUN
alkej-583	43	41	interval	interval	NOUN
alkej-583	43	42	ntt	ntt	PROPN
alkej-583	43	43			PRON
alkej-583	43	44	,	,	PUNCT
alkej-583	43	45	where	where	SCONJ
alkej-583	43	46	n	n	PRON
alkej-583	43	47	is	be	AUX
alkej-583	43	48	an	an	DET
alkej-583	43	49	integer	integer	NOUN
alkej-583	43	50	,	,	PUNCT
alkej-583	43	51	qpa	qpa	NOUN
alkej-583	43	52			PROPN
alkej-583	43	53	denotes	denote	VERB
alkej-583	43	54	the	the	DET
alkej-583	43	55	mixing	mixing	NOUN
alkej-583	43	56	(	(	PUNCT
alkej-583	43	57	steering	steering	NOUN
alkej-583	43	58	)	)	PUNCT
alkej-583	43	59	matrix	matrix	NOUN
alkej-583	43	60	,	,	PUNCT
alkej-583	43	61	nqs	nqs	PRON
alkej-583	43	62			PROPN
alkej-583	43	63	denotes	denote	VERB
alkej-583	43	64	the	the	DET
alkej-583	43	65	source	source	NOUN
alkej-583	43	66	signal	signal	NOUN
alkej-583	43	67	matrix	matrix	NOUN
alkej-583	43	68	,	,	PUNCT
alkej-583	43	69	and	and	CCONJ
alkej-583	43	70	npz	npz	X
alkej-583	43	71			PROPN
alkej-583	43	72	denotes	denote	VERB
alkej-583	43	73	an	an	DET
alkej-583	43	74	additive	additive	ADJ
alkej-583	43	75	gaussian	gaussian	NOUN
alkej-583	43	76	noise	noise	NOUN
alkej-583	43	77	component	component	NOUN
alkej-583	43	78	with	with	ADP
alkej-583	43	79	nontrivial	nontrivial	ADJ
alkej-583	43	80	temporal	temporal	ADJ
alkej-583	43	81	and	and	CCONJ
alkej-583	43	82	spatial	spatial	ADJ
alkej-583	43	83	covariance	covariance	NOUN
alkej-583	43	84	matrices	matrix	NOUN
alkej-583	43	85	.	.	PUNCT
alkej-583	44	1	it	it	PRON
alkej-583	44	2	will	will	AUX
alkej-583	44	3	be	be	AUX
alkej-583	44	4	assumed	assume	VERB
alkej-583	44	5	that	that	SCONJ
alkej-583	44	6	within	within	ADP
alkej-583	44	7	the	the	DET
alkej-583	44	8	n	n	PRON
alkej-583	44	9	snapshots	snapshot	NOUN
alkej-583	44	10	consisting	consist	VERB
alkej-583	44	11	the	the	DET
alkej-583	44	12	analysis	analysis	NOUN
alkej-583	44	13	window	window	NOUN
alkej-583	44	14	,	,	PUNCT
alkej-583	44	15	no	no	PRON
alkej-583	44	16	more	more	ADJ
alkej-583	44	17	than	than	ADP
alkej-583	44	18	pq	pq	NOUN
alkej-583	44	19			NOUN
alkej-583	44	20	sources	source	NOUN
alkej-583	44	21	is	be	AUX
alkej-583	44	22	present	present	ADJ
alkej-583	44	23	.	.	PUNCT
alkej-583	45	1	the	the	DET
alkej-583	45	2	matrix	matrix	NOUN
alkej-583	45	3	s	s	VERB
alkej-583	45	4	is	be	AUX
alkej-583	45	5	full	full	ADJ
alkej-583	45	6	rank	rank	NOUN
alkej-583	45	7	when	when	SCONJ
alkej-583	45	8	all	all	DET
alkej-583	45	9	the	the	DET
alkej-583	45	10	q	q	NOUN
alkej-583	45	11	sources	source	NOUN
alkej-583	45	12	are	be	AUX
alkej-583	45	13	independent	independent	ADJ
alkej-583	45	14	.	.	PUNCT
alkej-583	46	1	when	when	SCONJ
alkej-583	46	2	s	s	NOUN
alkej-583	46	3	is	be	AUX
alkej-583	46	4	rank	rank	NOUN
alkej-583	46	5	-	-	PUNCT
alkej-583	46	6	deficient	deficient	ADJ
alkej-583	46	7	,	,	PUNCT
alkej-583	46	8	this	this	PRON
alkej-583	46	9	usually	usually	ADV
alkej-583	46	10	means	mean	VERB
alkej-583	46	11	that	that	SCONJ
alkej-583	46	12	either	either	CCONJ
alkej-583	46	13	the	the	DET
alkej-583	46	14	source	source	NOUN
alkej-583	46	15	signals	signal	NOUN
alkej-583	46	16	have	have	AUX
alkej-583	46	17	correlated	correlate	VERB
alkej-583	46	18	waveforms	waveform	NOUN
alkej-583	46	19	,	,	PUNCT
alkej-583	46	20	or	or	CCONJ
alkej-583	46	21	subsets	subset	NOUN
alkej-583	46	22	of	of	ADP
alkej-583	46	23	the	the	DET
alkej-583	46	24	signals	signal	NOUN
alkej-583	46	25	are	be	AUX
alkej-583	46	26	perfectly	perfectly	ADV
alkej-583	46	27	coherent	coherent	ADJ
alkej-583	46	28	,	,	PUNCT
alkej-583	46	29	i.e.	i.e.	X
alkej-583	46	30	,	,	PUNCT
alkej-583	46	31	at	at	ADP
alkej-583	46	32	least	least	ADJ
alkej-583	46	33	one	one	NUM
alkej-583	46	34	of	of	ADP
alkej-583	46	35	the	the	DET
alkej-583	46	36	signals	signal	NOUN
alkej-583	46	37	is	be	AUX
alkej-583	46	38	just	just	ADV
alkej-583	46	39	a	a	DET
alkej-583	46	40	scaled	scale	VERB
alkej-583	46	41	and	and	CCONJ
alkej-583	46	42	delayed	delay	VERB
alkej-583	46	43	version	version	NOUN
alkej-583	46	44	of	of	ADP
alkej-583	46	45	another	another	DET
alkej-583	46	46	signal	signal	NOUN
alkej-583	46	47	.	.	PUNCT
alkej-583	47	1	this	this	DET
alkej-583	47	2	type	type	NOUN
alkej-583	47	3	of	of	ADP
alkej-583	47	4	situation	situation	NOUN
alkej-583	47	5	arises	arise	VERB
alkej-583	47	6	when	when	SCONJ
alkej-583	47	7	the	the	DET
alkej-583	47	8	multipath	multipath	NOUN
alkej-583	47	9	phenomenon	phenomenon	NOUN
alkej-583	47	10	occurs	occur	VERB
alkej-583	47	11	,	,	PUNCT
alkej-583	47	12	i.e.	i.e.	X
alkej-583	47	13	,	,	PUNCT
alkej-583	47	14	a	a	DET
alkej-583	47	15	direct	direct	ADJ
alkej-583	47	16	signal	signal	NOUN
alkej-583	47	17	path	path	NOUN
alkej-583	47	18	and	and	CCONJ
alkej-583	47	19	one	one	NUM
alkej-583	47	20	or	or	CCONJ
alkej-583	47	21	more	more	ADJ
alkej-583	47	22	indirect	indirect	ADJ
alkej-583	47	23	paths	path	NOUN
alkej-583	47	24	are	be	AUX
alkej-583	47	25	received	receive	VERB
alkej-583	47	26	by	by	ADP
alkej-583	47	27	the	the	DET
alkej-583	47	28	array	array	NOUN
alkej-583	47	29	in	in	ADP
alkej-583	47	30	which	which	DET
alkej-583	47	31	case	case	NOUN
alkej-583	47	32	the	the	DET
alkej-583	47	33	signals	signal	NOUN
alkej-583	47	34	are	be	AUX
alkej-583	47	35	not	not	PART
alkej-583	47	36	independent	independent	ADJ
alkej-583	47	37	.	.	PUNCT
alkej-583	48	1	on	on	ADP
alkej-583	48	2	the	the	DET
alkej-583	48	3	other	other	ADJ
alkej-583	48	4	hand	hand	NOUN
alkej-583	48	5	,	,	PUNCT
alkej-583	48	6	the	the	DET
alkej-583	48	7	columns	column	NOUN
alkej-583	48	8	of	of	ADP
alkej-583	48	9	the	the	DET
alkej-583	48	10	matrix	matrix	NOUN
alkej-583	48	11	a	a	DET
alkej-583	48	12	represent	represent	VERB
alkej-583	48	13	the	the	DET
alkej-583	48	14	array	array	NOUN
alkej-583	48	15	response	response	NOUN
alkej-583	48	16	due	due	ADP
alkej-583	48	17	to	to	ADP
alkej-583	48	18	each	each	PRON
alkej-583	48	19	of	of	ADP
alkej-583	48	20	the	the	DET
alkej-583	48	21	q	q	NOUN
alkej-583	48	22	signals	signal	NOUN
alkej-583	48	23	impinging	impinge	VERB
alkej-583	48	24	on	on	ADP
alkej-583	48	25	the	the	DET
alkej-583	48	26	array	array	NOUN
alkej-583	48	27	.	.	PUNCT
alkej-583	49	1	each	each	DET
alkej-583	49	2	column	column	NOUN
alkej-583	49	3	depends	depend	VERB
alkej-583	49	4	only	only	ADV
alkej-583	49	5	on	on	ADP
alkej-583	49	6	the	the	DET
alkej-583	49	7	geometrical	geometrical	ADJ
alkej-583	49	8	construction	construction	NOUN
alkej-583	49	9	of	of	ADP
alkej-583	49	10	the	the	DET
alkej-583	49	11	array	array	NOUN
alkej-583	49	12	and	and	CCONJ
alkej-583	49	13	the	the	DET
alkej-583	49	14	directional	directional	ADJ
alkej-583	49	15	response	response	NOUN
alkej-583	49	16	of	of	ADP
alkej-583	49	17	the	the	DET
alkej-583	49	18	sensors	sensor	NOUN
alkej-583	49	19	.	.	PUNCT
alkej-583	50	1	generally	generally	ADV
alkej-583	50	2	speaking	speak	VERB
alkej-583	50	3	,	,	PUNCT
alkej-583	50	4	if	if	SCONJ
alkej-583	50	5	the	the	DET
alkej-583	50	6	array	array	NOUN
alkej-583	50	7	is	be	AUX
alkej-583	50	8	properly	properly	ADV
alkej-583	50	9	designed	design	VERB
alkej-583	50	10	and	and	CCONJ
alkej-583	50	11	the	the	DET
alkej-583	50	12	sources	source	NOUN
alkej-583	50	13	are	be	AUX
alkej-583	50	14	independent	independent	ADJ
alkej-583	50	15	and	and	CCONJ
alkej-583	50	16	treated	treat	VERB
alkej-583	50	17	as	as	ADP
alkej-583	50	18	point	point	NOUN
alkej-583	50	19	sources	source	NOUN
alkej-583	50	20	,	,	PUNCT
alkej-583	50	21	a	a	PRON
alkej-583	50	22	will	will	AUX
alkej-583	50	23	be	be	AUX
alkej-583	50	24	full	full	ADJ
alkej-583	50	25	rank	rank	NOUN
alkej-583	50	26	.	.	PUNCT
alkej-583	51	1	a	a	PRON
alkej-583	51	2	can	can	AUX
alkej-583	51	3	also	also	ADV
alkej-583	51	4	be	be	AUX
alkej-583	51	5	rank	rank	NOUN
alkej-583	51	6	deficient	deficient	ADJ
alkej-583	51	7	when	when	SCONJ
alkej-583	51	8	the	the	DET
alkej-583	51	9	propagating	propagate	VERB
alkej-583	51	10	medium	medium	NOUN
alkej-583	51	11	has	have	VERB
alkej-583	51	12	nonstationary	nonstationary	ADJ
alkej-583	51	13	characteristics	characteristic	NOUN
alkej-583	51	14	,	,	PUNCT
alkej-583	51	15	or	or	CCONJ
alkej-583	51	16	in	in	ADP
alkej-583	51	17	some	some	DET
alkej-583	51	18	sense	sense	NOUN
alkej-583	51	19	anisotropic	anisotropic	NOUN
alkej-583	51	20	.	.	PUNCT
alkej-583	52	1	this	this	DET
alkej-583	52	2	situation	situation	NOUN
alkej-583	52	3	can	can	AUX
alkej-583	52	4	very	very	ADV
alkej-583	52	5	likely	likely	ADV
alkej-583	52	6	arise	arise	VERB
alkej-583	52	7	in	in	ADP
alkej-583	52	8	a	a	DET
alkej-583	52	9	neurophysiological	neurophysiological	ADJ
alkej-583	52	10	experiment	experiment	NOUN
alkej-583	52	11	.	.	PUNCT
alkej-583	53	1	first	first	ADV
alkej-583	53	2	,	,	PUNCT
alkej-583	53	3	consider	consider	VERB
alkej-583	53	4	the	the	DET
alkej-583	53	5	noise	noise	NOUN
alkej-583	53	6	free	free	ADJ
alkej-583	53	7	observations	observation	NOUN
alkej-583	53	8	given	give	VERB
alkej-583	53	9	by	by	ADP
alkej-583	53	10	the	the	DET
alkej-583	53	11	product	product	NOUN
alkej-583	53	12	matrix	matrix	NOUN
alkej-583	53	13	x	x	PUNCT
alkej-583	53	14	=	=	PUNCT
alkej-583	54	1	as	as	ADP
alkej-583	54	2	.	.	PUNCT
alkej-583	55	1	if	if	SCONJ
alkej-583	55	2	a	a	PRON
alkej-583	55	3	or	or	CCONJ
alkej-583	55	4	s	s	NOUN
alkej-583	55	5	has	have	AUX
alkej-583	55	6	rank	rank	VERB
alkej-583	55	7	less	less	ADJ
alkej-583	55	8	than	than	ADP
alkej-583	55	9	q	q	ADJ
alkej-583	55	10	,	,	PUNCT
alkej-583	55	11	x	x	PRON
alkej-583	55	12	will	will	AUX
alkej-583	55	13	also	also	ADV
alkej-583	55	14	have	have	AUX
alkej-583	55	15	rank	rank	VERB
alkej-583	55	16	less	less	ADJ
alkej-583	55	17	than	than	ADP
alkej-583	55	18	q.	q.	NOUN
alkej-583	55	19	if	if	SCONJ
alkej-583	55	20	there	there	PRON
alkej-583	55	21	are	be	VERB
alkej-583	55	22	q	q	PROPN
alkej-583	55	23	≤	≤	NUM
alkej-583	55	24	p	p	NOUN
alkej-583	55	25	≤	≤	NOUN
alkej-583	55	26	n	n	CCONJ
alkej-583	55	27	independent	independent	ADJ
alkej-583	55	28	rows	row	NOUN
alkej-583	55	29	in	in	ADP
alkej-583	55	30	x	x	NOUN
alkej-583	55	31	,	,	PUNCT
alkej-583	55	32	then	then	ADV
alkej-583	55	33	this	this	DET
alkej-583	55	34	matrix	matrix	NOUN
alkej-583	55	35	is	be	AUX
alkej-583	55	36	said	say	VERB
alkej-583	55	37	to	to	PART
alkej-583	55	38	have	have	VERB
alkej-583	55	39	a	a	DET
alkej-583	55	40	p	p	ADJ
alkej-583	55	41	-	-	PUNCT
alkej-583	55	42	dimensional	dimensional	ADJ
alkej-583	55	43	range	range	NOUN
alkej-583	55	44	or	or	CCONJ
alkej-583	55	45	row	row	NOUN
alkej-583	55	46	space	space	NOUN
alkej-583	55	47	,	,	PUNCT
alkej-583	55	48	which	which	PRON
alkej-583	55	49	is	be	AUX
alkej-583	55	50	a	a	DET
alkej-583	55	51	subspace	subspace	NOUN
alkej-583	55	52	of	of	ADP
alkej-583	55	53	the	the	DET
alkej-583	55	54	m	m	ADJ
alkej-583	55	55	-	-	ADJ
alkej-583	55	56	dimensional	dimensional	ADJ
alkej-583	55	57	euclidean	euclidean	ADJ
alkej-583	55	58	space	space	NOUN
alkej-583	55	59	ℜm	ℜm	NOUN
alkej-583	55	60	.	.	PUNCT
alkej-583	56	1	the	the	DET
alkej-583	56	2	rank	rank	NOUN
alkej-583	56	3	of	of	ADP
alkej-583	56	4	this	this	DET
alkej-583	56	5	matrix	matrix	NOUN
alkej-583	56	6	is	be	AUX
alkej-583	56	7	the	the	DET
alkej-583	56	8	dimension	dimension	NOUN
alkej-583	56	9	of	of	ADP
alkej-583	56	10	this	this	DET
alkej-583	56	11	subspace	subspace	NOUN
alkej-583	56	12	.	.	PUNCT
alkej-583	57	1	the	the	DET
alkej-583	57	2	spatial	spatial	ADJ
alkej-583	57	3	covariance	covariance	NOUN
alkej-583	57	4	of	of	ADP
alkej-583	57	5	x	x	PUNCT
alkej-583	57	6	when	when	SCONJ
alkej-583	57	7	spectrally	spectrally	ADV
alkej-583	57	8	factored	factor	VERB
alkej-583	57	9	yields	yield	NOUN
alkej-583	57	10			PROPN
alkej-583	57	11			PROPN
alkej-583	57	12	t	t	PROPN
alkej-583	57	13	xxx	xxx	NOUN
alkej-583	58	1	t	t	PROPN
alkej-583	59	1	x	x	X
alkej-583	59	2	uduxxer	uduxxer	ADV
alkej-583	59	3	..	..	PUNCT
alkej-583	59	4			NUM
alkej-583	59	5	…	…	PUNCT
alkej-583	59	6	(	(	PUNCT
alkej-583	59	7	4	4	NUM
alkej-583	59	8	)	)	PUNCT
alkej-583	60	1	where	where	SCONJ
alkej-583	60	2	pp	pp	ADV
alkej-583	60	3	xd	xd	INTJ
alkej-583	60	4			PROPN
alkej-583	60	5	is	be	AUX
alkej-583	60	6	a	a	DET
alkej-583	60	7	diagonal	diagonal	ADJ
alkej-583	60	8	matrix	matrix	NOUN
alkej-583	60	9	containing	contain	VERB
alkej-583	60	10	the	the	DET
alkej-583	60	11	rank	rank	NOUN
alkej-583	60	12	ordered	order	VERB
alkej-583	60	13	eigenvalues	eigenvalue	VERB
alkej-583	60	14	0	0	NUM
alkej-583	60	15	..................	..................	SYM
alkej-583	60	16	121	121	NUM
alkej-583	60	17			PROPN
alkej-583	60	18			ADV
alkej-583	60	19	pqq	pqq	VERB
alkej-583	60	20			PROPN
alkej-583	60	21	o	o	NOUN
alkej-583	60	22	f	f	X
alkej-583	60	23	rx	rx	VERB
alkej-583	60	24	.	.	PUNCT
alkej-583	61	1	if	if	SCONJ
alkej-583	61	2	there	there	PRON
alkej-583	61	3	are	be	VERB
alkej-583	61	4	q	q	PROPN
alkej-583	61	5	signal	signal	NOUN
alkej-583	61	6	sources	source	NOUN
alkej-583	61	7	,	,	PUNCT
alkej-583	61	8	the	the	DET
alkej-583	61	9	largest	large	ADJ
alkej-583	61	10	q	q	NOUN
alkej-583	61	11	eigenvalues	eigenvalue	VERB
alkej-583	61	12	correspond	correspond	ADV
alkej-583	61	13	to	to	ADP
alkej-583	61	14	the	the	DET
alkej-583	61	15	q	q	PROPN
alkej-583	61	16	sources	source	NOUN
alkej-583	61	17	and	and	CCONJ
alkej-583	61	18	the	the	DET
alkej-583	61	19	first	first	ADJ
alkej-583	61	20	q	q	ADJ
alkej-583	61	21	columns	column	NOUN
alkej-583	61	22	of	of	ADP
alkej-583	61	23	the	the	DET
alkej-583	61	24	unitary	unitary	ADJ
alkej-583	61	25	matrix	matrix	NOUN
alkej-583	61	26	ux	ux	NOUN
alkej-583	61	27	span	span	VERB
alkej-583	61	28	the	the	DET
alkej-583	61	29	signal	signal	ADJ
alkej-583	61	30	subspace	subspace	NOUN
alkej-583	61	31	.	.	PUNCT
alkej-583	62	1	the	the	DET
alkej-583	62	2	remaining	remain	VERB
alkej-583	62	3	p	p	NOUN
alkej-583	62	4	-	-	PUNCT
alkej-583	62	5	q	q	NOUN
alkej-583	62	6	eigenvalues	eigenvalue	NOUN
alkej-583	62	7	are	be	AUX
alkej-583	62	8	equal	equal	ADJ
alkej-583	62	9	to	to	ADP
alkej-583	62	10	zero	zero	NUM
alkej-583	62	11	with	with	ADP
alkej-583	62	12	probability	probability	NOUN
alkej-583	62	13	one	one	NUM
alkej-583	62	14	.	.	PUNCT
alkej-583	63	1	in	in	ADP
alkej-583	63	2	practice	practice	NOUN
alkej-583	63	3	,	,	PUNCT
alkej-583	63	4	the	the	DET
alkej-583	63	5	finite	finite	ADJ
alkej-583	63	6	sample	sample	NOUN
alkej-583	63	7	size	size	NOUN
alkej-583	63	8	and	and	CCONJ
alkej-583	63	9	the	the	DET
alkej-583	63	10	presence	presence	NOUN
alkej-583	63	11	of	of	ADP
alkej-583	63	12	noise	noise	NOUN
alkej-583	63	13	amount	amount	NOUN
alkej-583	63	14	to	to	ADP
alkej-583	63	15	estimating	estimate	VERB
alkej-583	63	16	the	the	DET
alkej-583	63	17	sample	sample	NOUN
alkej-583	63	18	eigenvalues	eigenvalue	VERB
alkej-583	63	19	0	0	NUM
alkej-583	63	20	.................	.................	SYM
alkej-583	63	21	21	21	NUM
alkej-583	63	22			X
alkej-583	63	23	pq	pq	INTJ
alkej-583	63	24			PROPN
alkej-583	63	25	from	from	ADP
alkej-583	63	26	the	the	DET
alkej-583	63	27	sample	sample	NOUN
alkej-583	63	28	covariance	covariance	NOUN
alkej-583	63	29	matrix	matrix	NOUN
alkej-583	63	30	[	[	X
alkej-583	63	31	10	10	NUM
alkej-583	63	32	-	-	SYM
alkej-583	63	33	11	11	NUM
alkej-583	63	34	]	]	PUNCT
alkej-583	63	35			X
alkej-583	63	36			VERB
alkej-583	63	37			ADV
alkej-583	63	38			NUM
alkej-583	63	39	1	1	NUM
alkej-583	63	40	0	0	NUM
alkej-583	63	41	]	]	PUNCT
alkej-583	64	1	[	[	X
alkej-583	64	2	]	]	X
alkej-583	64	3	[	[	PUNCT
alkej-583	64	4	1	1	NUM
alkej-583	64	5	n	n	CCONJ
alkej-583	64	6	n	n	NOUN
alkej-583	64	7	t	t	NOUN
alkej-583	64	8	y	y	PROPN
alkej-583	64	9	nyny	nyny	PROPN
alkej-583	64	10	n	n	PROPN
alkej-583	64	11	r	r	NOUN
alkej-583	64	12	…	…	PUNCT
alkej-583	64	13	(	(	PUNCT
alkej-583	64	14	5	5	NUM
alkej-583	64	15	)	)	PUNCT
alkej-583	64	16	the	the	DET
alkej-583	64	17	remaining	remain	VERB
alkej-583	64	18	p	p	NOUN
alkej-583	64	19	-	-	PUNCT
alkej-583	64	20	q	q	NOUN
alkej-583	64	21	eigenvalues	eigenvalue	NOUN
alkej-583	64	22	are	be	AUX
alkej-583	64	23	no	no	ADV
alkej-583	64	24	longer	long	ADV
alkej-583	64	25	equal	equal	ADJ
alkej-583	64	26	to	to	ADP
alkej-583	64	27	zero	zero	NUM
alkej-583	64	28	and	and	CCONJ
alkej-583	64	29	the	the	DET
alkej-583	64	30	corresponding	correspond	VERB
alkej-583	64	31	p	p	NOUN
alkej-583	64	32	-	-	PUNCT
alkej-583	64	33	q	q	NOUN
alkej-583	64	34	eigenvectors	eigenvector	NOUN
alkej-583	64	35	span	span	VERB
alkej-583	64	36	the	the	DET
alkej-583	64	37	noise	noise	NOUN
alkej-583	64	38	subspace	subspace	NOUN
alkej-583	64	39	.	.	PUNCT
alkej-583	65	1	when	when	SCONJ
alkej-583	65	2	the	the	DET
alkej-583	65	3	noise	noise	NOUN
alkej-583	65	4	is	be	AUX
alkej-583	65	5	cross	cross	NOUN
alkej-583	65	6	correlated	correlate	VERB
alkej-583	65	7	with	with	ADP
alkej-583	65	8	the	the	DET
alkej-583	65	9	signal	signal	NOUN
alkej-583	65	10	of	of	ADP
alkej-583	65	11	interest	interest	NOUN
alkej-583	65	12	,	,	PUNCT
alkej-583	65	13	ry	ry	PROPN
alkej-583	65	14	can	can	AUX
alkej-583	65	15	be	be	AUX
alkej-583	65	16	expressed	express	VERB
alkej-583	65	17	as	as	ADP
alkej-583	65	18	t	t	PROPN
alkej-583	65	19	zsszz	zsszz	PROPN
alkej-583	65	20	t	t	PROPN
alkej-583	66	1	sy	sy	PROPN
alkej-583	66	2	ararraarr	ararraarr	NOUN
alkej-583	66	3			NOUN
alkej-583	66	4	…	…	PUNCT
alkej-583	66	5	(	(	PUNCT
alkej-583	66	6	6	6	NUM
alkej-583	66	7	)	)	PUNCT
alkej-583	66	8	where	where	SCONJ
alkej-583	66	9	sr	sr	PROPN
alkej-583	66	10	is	be	AUX
alkej-583	66	11	the	the	DET
alkej-583	66	12	autocorrelation	autocorrelation	NOUN
alkej-583	66	13	of	of	ADP
alkej-583	66	14	signal	signal	NOUN
alkej-583	66	15	,	,	PUNCT
alkej-583	66	16	zr	zr	PROPN
alkej-583	66	17	is	be	AUX
alkej-583	66	18	the	the	DET
alkej-583	66	19	autocorrelation	autocorrelation	NOUN
alkej-583	66	20	of	of	ADP
alkej-583	66	21	noise	noise	NOUN
alkej-583	66	22	,	,	PUNCT
alkej-583	66	23	szr	szr	PROPN
alkej-583	66	24	is	be	AUX
alkej-583	66	25	the	the	DET
alkej-583	66	26	crosscorrelation	crosscorrelation	NOUN
alkej-583	66	27	between	between	ADP
alkej-583	66	28	the	the	DET
alkej-583	66	29	signal	signal	NOUN
alkej-583	66	30	and	and	CCONJ
alkej-583	66	31	noise	noise	NOUN
alkej-583	66	32	and	and	CCONJ
alkej-583	66	33	zsr	zsr	PRON
alkej-583	66	34	is	be	AUX
alkej-583	66	35	the	the	DET
alkej-583	66	36	crosscorrelation	crosscorrelation	NOUN
alkej-583	66	37	between	between	ADP
alkej-583	66	38	the	the	DET
alkej-583	66	39	noise	noise	NOUN
alkej-583	66	40	and	and	CCONJ
alkej-583	66	41	signal	signal	NOUN
alkej-583	66	42	.	.	PUNCT
alkej-583	67	1	the	the	DET
alkej-583	67	2	presence	presence	NOUN
alkej-583	67	3	of	of	ADP
alkej-583	67	4	the	the	DET
alkej-583	67	5	cross	cross	NOUN
alkej-583	67	6	covariance	covariance	NOUN
alkej-583	67	7	terms	term	NOUN
alkej-583	67	8	shrinks	shrink	VERB
alkej-583	67	9	the	the	DET
alkej-583	67	10	separation	separation	NOUN
alkej-583	67	11	distance	distance	NOUN
alkej-583	67	12	that	that	PRON
alkej-583	67	13	should	should	AUX
alkej-583	67	14	be	be	AUX
alkej-583	67	15	observed	observe	VERB
alkej-583	67	16	to	to	PART
alkej-583	67	17	determine	determine	VERB
alkej-583	67	18	the	the	DET
alkej-583	67	19	subset	subset	NOUN
alkej-583	67	20	of	of	ADP
alkej-583	67	21	eigenvalues	eigenvalue	NOUN
alkej-583	67	22	belonging	belong	VERB
alkej-583	67	23	to	to	ADP
alkej-583	67	24	the	the	DET
alkej-583	67	25	signal	signal	ADJ
alkej-583	67	26	subspace	subspace	NOUN
alkej-583	67	27	because	because	SCONJ
alkej-583	67	28	of	of	ADP
alkej-583	67	29	the	the	DET
alkej-583	67	30	mutual	mutual	ADJ
alkej-583	67	31	correlation	correlation	NOUN
alkej-583	67	32	of	of	ADP
alkej-583	67	33	the	the	DET
alkej-583	67	34	sample	sample	NOUN
alkej-583	67	35	eigenvalues	eigenvalue	VERB
alkej-583	67	36	,	,	PUNCT
alkej-583	67	37	making	make	VERB
alkej-583	67	38	it	it	PRON
alkej-583	67	39	practically	practically	ADV
alkej-583	67	40	impossible	impossible	ADJ
alkej-583	67	41	to	to	PART
alkej-583	67	42	determine	determine	VERB
alkej-583	67	43	q.	q.	NOUN
alkej-583	67	44	in	in	ADP
alkej-583	67	45	good	good	ADJ
alkej-583	67	46	snr	snr	PROPN
alkej-583	67	47	conditions	condition	NOUN
alkej-583	67	48	,	,	PUNCT
alkej-583	67	49	the	the	DET
alkej-583	67	50	separation	separation	NOUN
alkej-583	67	51	between	between	ADP
alkej-583	67	52	the	the	DET
alkej-583	67	53	signal	signal	NOUN
alkej-583	67	54	and	and	CCONJ
alkej-583	67	55	noise	noise	NOUN
alkej-583	67	56	subspaces	subspace	NOUN
alkej-583	67	57	is	be	AUX
alkej-583	67	58	easily	easily	ADV
alkej-583	67	59	obtained	obtain	VERB
alkej-583	67	60	.	.	PUNCT
alkej-583	68	1	in	in	ADP
alkej-583	68	2	low	low	ADJ
alkej-583	68	3	snr	snr	PROPN
alkej-583	68	4	conditions	condition	NOUN
alkej-583	68	5	,	,	PUNCT
alkej-583	68	6	this	this	DET
alkej-583	68	7	separation	separation	NOUN
alkej-583	68	8	does	do	AUX
alkej-583	68	9	not	not	PART
alkej-583	68	10	yield	yield	VERB
alkej-583	68	11	easily	easily	ADV
alkej-583	68	12	and	and	CCONJ
alkej-583	68	13	the	the	DET
alkej-583	68	14	source	source	NOUN
alkej-583	68	15	detection	detection	NOUN
alkej-583	68	16	problem	problem	NOUN
alkej-583	68	17	amounts	amount	VERB
alkej-583	68	18	to	to	ADP
alkej-583	68	19	the	the	DET
alkej-583	68	20	so	so	ADV
alkej-583	68	21	-	-	PUNCT
alkej-583	68	22	called	call	VERB
alkej-583	68	23	sphericity	sphericity	NOUN
alkej-583	68	24	test	test	NOUN
alkej-583	68	25	to	to	PART
alkej-583	68	26	determine	determine	VERB
alkej-583	68	27	the	the	DET
alkej-583	68	28	multiplicity	multiplicity	NOUN
alkej-583	68	29	of	of	ADP
alkej-583	68	30	the	the	DET
alkej-583	68	31	smallest	small	ADJ
alkej-583	68	32	p	p	NOUN
alkej-583	68	33	-	-	PUNCT
alkej-583	68	34	q	q	NOUN
alkej-583	68	35	eigenvalues	eigenvalue	VERB
alkej-583	68	36	using	use	VERB
alkej-583	68	37	the	the	DET
alkej-583	68	38	akaike	akaike	NOUN
alkej-583	68	39	’s	’s	PART
alkej-583	68	40	information	information	NOUN
alkej-583	68	41	criterion	criterion	NOUN
alkej-583	68	42	(	(	PUNCT
alkej-583	68	43	aic	aic	PROPN
alkej-583	68	44	)	)	PUNCT
alkej-583	69	1	[	[	X
alkej-583	69	2	5	5	NUM
alkej-583	69	3	]	]	X
alkej-583	69	4			NOUN
alkej-583	69	5			SYM
alkej-583	69	6			NOUN
alkej-583	69	7	kpk	kpk	NOUN
alkej-583	70	1	l	l	NOUN
alkej-583	70	2	kp	kp	PROPN
alkej-583	70	3	l	l	PROPN
alkej-583	70	4	kaic	kaic	PROPN
alkej-583	70	5	p	p	X
alkej-583	70	6	ki	ki	PROPN
alkej-583	71	1	i	i	PRON
alkej-583	71	2	p	p	X
alkej-583	72	1	ki	ki	PROPN
alkej-583	72	2	kp	kp	PROPN
alkej-583	73	1	i	i	PRON
alkej-583	73	2			PROPN
alkej-583	73	3			PROPN
alkej-583	73	4			PROPN
alkej-583	73	5			PROPN
alkej-583	74	1			PROPN
alkej-583	74	2			NOUN
alkej-583	75	1			PROPN
alkej-583	76	1			PROPN
alkej-583	77	1			PROPN
alkej-583	78	1			PROPN
alkej-583	78	2			PROPN
alkej-583	78	3			PROPN
alkej-583	78	4			NOUN
alkej-583	78	5			PROPN
alkej-583	78	6			PROPN
alkej-583	78	7			X
alkej-583	78	8			PROPN
alkej-583	78	9			ADJ
alkej-583	78	10			ADJ
alkej-583	78	11			NOUN
alkej-583	78	12	22	22	NUM
alkej-583	78	13	1	1	NUM
alkej-583	78	14	log2	log2	NOUN
alkej-583	78	15	1	1	NUM
alkej-583	78	16	1	1	NUM
alkej-583	78	17	)	)	PUNCT
alkej-583	78	18	/(1	/(1	PUNCT
alkej-583	78	19	…	…	PUNCT
alkej-583	78	20	(	(	PUNCT
alkej-583	78	21	7	7	NUM
alkej-583	78	22	)	)	PUNCT
alkej-583	78	23	where	where	SCONJ
alkej-583	78	24	il	il	PROPN
alkej-583	78	25	denote	denote	VERB
alkej-583	78	26	the	the	DET
alkej-583	78	27	eigenvalues	eigenvalue	NOUN
alkej-583	78	28	of	of	ADP
alkej-583	78	29	^	^	PUNCT
alkej-583	78	30	r	r	NOUN
alkej-583	78	31	.	.	PUNCT
alkej-583	79	1	the	the	DET
alkej-583	79	2	number	number	NOUN
alkej-583	79	3	of	of	ADP
alkej-583	79	4	signals	signal	NOUN
alkej-583	79	5	is	be	AUX
alkej-583	79	6	taken	take	VERB
alkej-583	79	7	to	to	PART
alkej-583	79	8	be	be	AUX
alkej-583	79	9	the	the	DET
alkej-583	79	10	value	value	NOUN
alkej-583	79	11	of	of	ADP
alkej-583	79	12			NOUN
alkej-583	79	13	1,	1,	NOUN
alkej-583	79	14	......	......	PUNCT
alkej-583	79	15	,1,0	,1,0	PUNCT
alkej-583	79	16			PROPN
alkej-583	79	17	pk	pk	NOUN
alkej-583	79	18	for	for	ADP
alkej-583	79	19	which	which	PRON
alkej-583	79	20	aic	aic	PROPN
alkej-583	79	21	is	be	AUX
alkej-583	79	22	minimized	minimize	VERB
alkej-583	79	23	.	.	PUNCT
alkej-583	80	1	mohammed	mohammed	PROPN
alkej-583	80	2	h.	h.	PROPN
alkej-583	80	3	miry	miry	PROPN
alkej-583	80	4	al	al	PROPN
alkej-583	80	5	-	-	PUNCT
alkej-583	80	6	khwarizmi	khwarizmi	PROPN
alkej-583	80	7	engineering	engineering	NOUN
alkej-583	80	8	journal	journal	PROPN
alkej-583	80	9	,	,	PUNCT
alkej-583	80	10	vol.5	vol.5	PROPN
alkej-583	80	11	,	,	PUNCT
alkej-583	80	12	no	no	INTJ
alkej-583	80	13	.	.	NOUN
alkej-583	80	14	4	4	NUM
alkej-583	80	15	,	,	PUNCT
alkej-583	80	16	pp	pp	ADV
alkej-583	80	17	51	51	NUM
alkej-583	80	18	-	-	SYM
alkej-583	80	19	57	57	NUM
alkej-583	80	20	(	(	PUNCT
alkej-583	80	21	2009	2009	NUM
alkej-583	80	22	)	)	PUNCT
alkej-583	80	23	54	54	NUM
alkej-583	80	24	4	4	NUM
alkej-583	80	25	.	.	PUNCT
alkej-583	80	26	proposed	propose	VERB
alkej-583	80	27	model	model	NOUN
alkej-583	80	28	figure	figure	NOUN
alkej-583	80	29	2	2	NUM
alkej-583	80	30	shows	show	VERB
alkej-583	80	31	the	the	DET
alkej-583	80	32	block	block	NOUN
alkej-583	80	33	diagram	diagram	NOUN
alkej-583	80	34	of	of	ADP
alkej-583	80	35	the	the	DET
alkej-583	80	36	proposed	propose	VERB
alkej-583	80	37	system	system	NOUN
alkej-583	80	38	to	to	PART
alkej-583	80	39	estimate	estimate	VERB
alkej-583	80	40	the	the	DET
alkej-583	80	41	number	number	NOUN
alkej-583	80	42	of	of	ADP
alkej-583	80	43	sources	source	NOUN
alkej-583	80	44	.	.	PUNCT
alkej-583	81	1	the	the	DET
alkej-583	81	2	main	main	ADJ
alkej-583	81	3	procedure	procedure	NOUN
alkej-583	81	4	of	of	ADP
alkej-583	81	5	the	the	DET
alkej-583	81	6	system	system	NOUN
alkej-583	81	7	is	be	AUX
alkej-583	81	8	described	describe	VERB
alkej-583	81	9	as	as	ADP
alkej-583	81	10	follows	follow	VERB
alkej-583	81	11	.	.	PUNCT
alkej-583	82	1	first	first	ADV
alkej-583	82	2	,	,	PUNCT
alkej-583	82	3	the	the	DET
alkej-583	82	4	signals	signal	NOUN
alkej-583	82	5	are	be	AUX
alkej-583	82	6	received	receive	VERB
alkej-583	82	7	by	by	ADP
alkej-583	82	8	antennas	antenna	NOUN
alkej-583	82	9	.	.	PUNCT
alkej-583	83	1	next	next	ADV
alkej-583	83	2	,	,	PUNCT
alkej-583	83	3	these	these	DET
alkej-583	83	4	signals	signal	NOUN
alkej-583	83	5	are	be	AUX
alkej-583	83	6	processed	process	VERB
alkej-583	83	7	by	by	ADP
alkej-583	83	8	the	the	DET
alkej-583	83	9	qmf	qmf	NOUN
alkej-583	83	10	bank	bank	NOUN
alkej-583	83	11	.	.	PUNCT
alkej-583	84	1	then	then	ADV
alkej-583	84	2	,	,	PUNCT
alkej-583	84	3	in	in	ADP
alkej-583	84	4	every	every	DET
alkej-583	84	5	bank	bank	NOUN
alkej-583	84	6	,	,	PUNCT
alkej-583	84	7	the	the	DET
alkej-583	84	8	channel	channel	NOUN
alkej-583	84	9	that	that	PRON
alkej-583	84	10	exceeds	exceed	VERB
alkej-583	84	11	threshold	threshold	NOUN
alkej-583	84	12	level	level	NOUN
alkej-583	84	13	(	(	PUNCT
alkej-583	84	14	δ	δ	NOUN
alkej-583	84	15	)	)	PUNCT
alkej-583	84	16	as	as	SCONJ
alkej-583	84	17	compared	compare	VERB
alkej-583	84	18	with	with	ADP
alkej-583	84	19	other	other	ADJ
alkej-583	84	20	channels	channel	NOUN
alkej-583	84	21	will	will	AUX
alkej-583	84	22	be	be	AUX
alkej-583	84	23	chosen	choose	VERB
alkej-583	84	24	at	at	ADP
alkej-583	84	25	the	the	DET
alkej-583	84	26	selection	selection	NOUN
alkej-583	84	27	unit	unit	NOUN
alkej-583	84	28	.	.	PUNCT
alkej-583	85	1	the	the	DET
alkej-583	85	2	selected	select	VERB
alkej-583	85	3	channel	channel	NOUN
alkej-583	85	4	’s	’s	PART
alkej-583	85	5	output	output	NOUN
alkej-583	85	6	data	datum	NOUN
alkej-583	85	7	is	be	AUX
alkej-583	85	8	applied	apply	VERB
alkej-583	85	9	to	to	ADP
alkej-583	85	10	idwt	idwt	VERB
alkej-583	85	11	(	(	PUNCT
alkej-583	85	12	inverse	inverse	NOUN
alkej-583	85	13	of	of	ADP
alkej-583	85	14	discrete	discrete	ADJ
alkej-583	85	15	wavelet	wavelet	NOUN
alkej-583	85	16	transform	transform	NOUN
alkej-583	85	17	)	)	PUNCT
alkej-583	85	18	.	.	PUNCT
alkej-583	86	1	the	the	DET
alkej-583	86	2	output	output	NOUN
alkej-583	86	3	of	of	ADP
alkej-583	86	4	idwt	idwt	PROPN
alkej-583	86	5	is	be	AUX
alkej-583	86	6	used	use	VERB
alkej-583	86	7	to	to	PART
alkej-583	86	8	compute	compute	VERB
alkej-583	86	9	its	its	PRON
alkej-583	86	10	covariance	covariance	NOUN
alkej-583	86	11	matrix	matrix	NOUN
alkej-583	86	12	.	.	PUNCT
alkej-583	87	1	finally	finally	ADV
alkej-583	87	2	aic	aic	PROPN
alkej-583	87	3	is	be	AUX
alkej-583	87	4	calculated	calculate	VERB
alkej-583	87	5	to	to	PART
alkej-583	87	6	estimate	estimate	VERB
alkej-583	87	7	the	the	DET
alkej-583	87	8	numbers	number	NOUN
alkej-583	87	9	of	of	ADP
alkej-583	87	10	sources	source	NOUN
alkej-583	87	11	.	.	PUNCT
alkej-583	88	1	wp	wp	NOUN
alkej-583	88	2	,	,	PUNCT
alkej-583	88	3	m	m	AUX
alkej-583	88	4	qmf	qmf	VERB
alkej-583	88	5	qmf	qmf	NOUN
alkej-583	88	6	qmf	qmf	NOUN
alkej-583	88	7	y1(t	y1(t	PROPN
alkej-583	88	8	)	)	PUNCT
alkej-583	88	9	y2(t	y2(t	PROPN
alkej-583	88	10	)	)	PUNCT
alkej-583	88	11	yp(t	yp(t	PROPN
alkej-583	88	12	)	)	PUNCT
alkej-583	88	13	…	…	PUNCT
alkej-583	88	14	…	…	SYM
alkej-583	88	15	.	.	PUNCT
alkej-583	88	16	…	…	PUNCT
alkej-583	88	17	…	…	PUNCT
alkej-583	88	18	.	.	PUNCT
alkej-583	88	19	…	…	PUNCT
alkej-583	88	20	…	…	PUNCT
alkej-583	88	21	.	.	PUNCT
alkej-583	88	22	…	…	PUNCT
alkej-583	88	23	…	…	PUNCT
alkej-583	88	24	.	.	PUNCT
alkej-583	89	1	…	…	PUNCT
alkej-583	89	2	…	…	PUNCT
alkej-583	89	3	.	.	PUNCT
alkej-583	90	1	w1,1	w1,1	PROPN
alkej-583	90	2	w1,m	w1,m	PROPN
alkej-583	90	3	wp,1	wp,1	PROPN
alkej-583	90	4	antenna	antenna	NOUN
alkej-583	90	5	1	1	NUM
alkej-583	90	6	m.m	m.m	PROPN
alkej-583	90	7	,	,	PUNCT
alkej-583	90	8	antenna	antenna	NOUN
alkej-583	90	9	2	2	NUM
alkej-583	90	10	m.m	m.m	PROPN
alkej-583	90	11	,	,	PUNCT
alkej-583	90	12	antenna	antenna	NOUN
alkej-583	90	13	p	p	PROPN
alkej-583	90	14	m.m	m.m	PROPN
alkej-583	90	15	,	,	PUNCT
alkej-583	90	16	w2,1	w2,1	PROPN
alkej-583	90	17	w2,m	w2,m	PROPN
alkej-583	90	18	w1,2	w1,2	PROPN
alkej-583	90	19	w2,2	w2,2	PROPN
alkej-583	90	20	wp,2	wp,2	PROPN
alkej-583	90	21	covariance	covariance	NOUN
alkej-583	90	22	matrix	matrix	NOUN
alkej-583	90	23	computation	computation	NOUN
alkej-583	90	24	inverse	inverse	NOUN
alkej-583	90	25	of	of	ADP
alkej-583	90	26	discrete	discrete	ADJ
alkej-583	90	27	wavelet	wavelet	NOUN
alkej-583	90	28	transform	transform	NOUN
alkej-583	90	29	selection	selection	NOUN
alkej-583	90	30	unit	unit	NOUN
alkej-583	90	31	w1,m	w1,m	PROPN
alkej-583	90	32	w2,m	w2,m	PROPN
alkej-583	90	33	wp	wp	PROPN
alkej-583	90	34	,	,	PUNCT
alkej-583	90	35	m	m	PROPN
alkej-583	90	36	aic	aic	PROPN
alkej-583	90	37	estimation	estimation	NOUN
alkej-583	90	38	the	the	DET
alkej-583	90	39	number	number	NOUN
alkej-583	90	40	of	of	ADP
alkej-583	90	41	the	the	DET
alkej-583	90	42	sources	source	NOUN
alkej-583	90	43	fig.2	fig.2	PROPN
alkej-583	90	44	.	.	PUNCT
alkej-583	91	1	block	block	NOUN
alkej-583	91	2	diagram	diagram	NOUN
alkej-583	91	3	of	of	ADP
alkej-583	91	4	the	the	DET
alkej-583	91	5	proposed	propose	VERB
alkej-583	91	6	system	system	NOUN
alkej-583	91	7	.	.	PUNCT
alkej-583	92	1	…	…	PUNCT
alkej-583	92	2	…	…	PUNCT
alkej-583	92	3	.	.	PUNCT
alkej-583	93	1	…	…	PUNCT
alkej-583	93	2	…	…	PUNCT
alkej-583	93	3	.	.	PUNCT
alkej-583	94	1	where	where	SCONJ
alkej-583	94	2	m	m	VERB
alkej-583	94	3	=	=	SYM
alkej-583	94	4	1	1	NUM
alkej-583	94	5	,	,	PUNCT
alkej-583	94	6	2	2	NUM
alkej-583	94	7	,	,	PUNCT
alkej-583	94	8	3	3	NUM
alkej-583	94	9	,	,	PUNCT
alkej-583	94	10	…	…	PUNCT
alkej-583	94	11	...	...	PUNCT
alkej-583	94	12	,	,	PUNCT
alkej-583	94	13	m	m	PROPN
alkej-583	94	14	fig.3	fig.3	PROPN
alkej-583	94	15	.	.	PUNCT
alkej-583	95	1	structure	structure	NOUN
alkej-583	95	2	of	of	ADP
alkej-583	95	3	the	the	DET
alkej-583	95	4	selection	selection	NOUN
alkej-583	95	5	unit	unit	NOUN
alkej-583	95	6	.	.	PUNCT
alkej-583	96	1	wl	wl	PROPN
alkej-583	96	2	,	,	PUNCT
alkej-583	96	3	m	m	PROPN
alkej-583	96	4	w2	w2	NOUN
alkej-583	96	5	,	,	PUNCT
alkej-583	96	6	m	m	VERB
alkej-583	96	7	wp	wp	PROPN
alkej-583	96	8	,	,	PUNCT
alkej-583	96	9	m	m	NOUN
alkej-583	96	10	threshold	threshold	NOUN
alkej-583	96	11	level	level	NOUN
alkej-583	96	12	threshold	threshold	NOUN
alkej-583	96	13	level	level	NOUN
alkej-583	96	14	threshold	threshold	NOUN
alkej-583	96	15	level	level	NOUN
alkej-583	96	16	.	.	PUNCT
alkej-583	97	1	:	:	PUNCT
alkej-583	97	2	gate	gate	NOUN
alkej-583	97	3	switches	switch	NOUN
alkej-583	97	4	where	where	SCONJ
alkej-583	97	5	m	m	VERB
alkej-583	97	6	=	=	SYM
alkej-583	97	7	1,2	1,2	NUM
alkej-583	97	8	,	,	PUNCT
alkej-583	97	9	…	…	PUNCT
alkej-583	97	10	.	.	PUNCT
alkej-583	97	11	,	,	PUNCT
alkej-583	97	12	m	m	PROPN
alkej-583	97	13	mohammed	mohammed	PROPN
alkej-583	97	14	h.	h.	PROPN
alkej-583	97	15	miry	miry	PROPN
alkej-583	97	16	al	al	PROPN
alkej-583	97	17	-	-	PUNCT
alkej-583	97	18	khwarizmi	khwarizmi	PROPN
alkej-583	97	19	engineering	engineering	NOUN
alkej-583	97	20	journal	journal	PROPN
alkej-583	97	21	,	,	PUNCT
alkej-583	97	22	vol.5	vol.5	PROPN
alkej-583	97	23	,	,	PUNCT
alkej-583	97	24	no	no	INTJ
alkej-583	97	25	.	.	NOUN
alkej-583	97	26	4	4	NUM
alkej-583	97	27	,	,	PUNCT
alkej-583	97	28	pp	pp	ADV
alkej-583	97	29	51	51	NUM
alkej-583	97	30	-	-	SYM
alkej-583	97	31	57	57	NUM
alkej-583	97	32	(	(	PUNCT
alkej-583	97	33	2009	2009	NUM
alkej-583	97	34	)	)	PUNCT
alkej-583	97	35	55	55	NUM
alkej-583	97	36	4.1	4.1	NUM
alkej-583	97	37	.	.	PUNCT
alkej-583	98	1	selection	selection	NOUN
alkej-583	98	2	unit	unit	NOUN
alkej-583	98	3	figure	figure	NOUN
alkej-583	98	4	3	3	NUM
alkej-583	98	5	shows	show	VERB
alkej-583	98	6	the	the	DET
alkej-583	98	7	structure	structure	NOUN
alkej-583	98	8	of	of	ADP
alkej-583	98	9	selection	selection	NOUN
alkej-583	98	10	unit	unit	NOUN
alkej-583	98	11	.	.	PUNCT
alkej-583	99	1	the	the	DET
alkej-583	99	2	role	role	NOUN
alkej-583	99	3	of	of	ADP
alkej-583	99	4	the	the	DET
alkej-583	99	5	unit	unit	NOUN
alkej-583	99	6	is	be	AUX
alkej-583	99	7	to	to	PART
alkej-583	99	8	select	select	VERB
alkej-583	99	9	the	the	DET
alkej-583	99	10	channel	channel	NOUN
alkej-583	99	11	that	that	PRON
alkej-583	99	12	exceeds	exceed	VERB
alkej-583	99	13	threshold	threshold	NOUN
alkej-583	99	14	level	level	NOUN
alkej-583	99	15	(	(	PUNCT
alkej-583	99	16	δ	δ	NOUN
alkej-583	99	17	)	)	PUNCT
alkej-583	99	18	as	as	SCONJ
alkej-583	99	19	compared	compare	VERB
alkej-583	99	20	with	with	ADP
alkej-583	99	21	other	other	ADJ
alkej-583	99	22	channels	channel	NOUN
alkej-583	99	23	.	.	PUNCT
alkej-583	100	1	in	in	ADP
alkej-583	100	2	every	every	DET
alkej-583	100	3	bank	bank	NOUN
alkej-583	100	4	,	,	PUNCT
alkej-583	100	5	the	the	DET
alkej-583	100	6	soft	soft	ADJ
alkej-583	100	7	threshold	threshold	NOUN
alkej-583	100	8	is	be	AUX
alkej-583	100	9	applied	apply	VERB
alkej-583	100	10	to	to	ADP
alkej-583	100	11	the	the	DET
alkej-583	100	12	output	output	NOUN
alkej-583	100	13	of	of	ADP
alkej-583	100	14	qmf	qmf	NOUN
alkej-583	100	15	bank	bank	NOUN
alkej-583	100	16	.	.	PUNCT
alkej-583	101	1	the	the	DET
alkej-583	101	2	gate	gate	PROPN
alkej-583	101	3	switches	switch	NOUN
alkej-583	101	4	are	be	AUX
alkej-583	101	5	simultaneously	simultaneously	ADV
alkej-583	101	6	closed	close	VERB
alkej-583	101	7	when	when	SCONJ
alkej-583	101	8	the	the	DET
alkej-583	101	9	output	output	NOUN
alkej-583	101	10	of	of	ADP
alkej-583	101	11	qmf	qmf	VERB
alkej-583	101	12	banks	bank	NOUN
alkej-583	101	13	exceeds	exceed	VERB
alkej-583	101	14	threshold	threshold	NOUN
alkej-583	101	15	level	level	NOUN
alkej-583	101	16	(	(	PUNCT
alkej-583	101	17	δ	δ	NOUN
alkej-583	101	18	)	)	PUNCT
alkej-583	101	19	table	table	NOUN
alkej-583	101	20	1	1	NUM
alkej-583	101	21	,	,	PUNCT
alkej-583	101	22	the	the	DET
alkej-583	101	23	response	response	NOUN
alkej-583	101	24	of	of	ADP
alkej-583	101	25	the	the	DET
alkej-583	101	26	aic	aic	PROPN
alkej-583	101	27	method	method	NOUN
alkej-583	101	28	with	with	ADP
alkej-583	101	29	two	two	NUM
alkej-583	101	30	sources	source	NOUN
alkej-583	101	31	k	k	NOUN
alkej-583	101	32	0	0	NUM
alkej-583	101	33	1	1	NUM
alkej-583	101	34	2	2	NUM
alkej-583	101	35	3	3	NUM
alkej-583	101	36	4	4	NUM
alkej-583	101	37	5	5	NUM
alkej-583	101	38	6	6	NUM
alkej-583	101	39	7	7	NUM
alkej-583	101	40	classical	classical	ADJ
alkej-583	101	41	system	system	NOUN
alkej-583	101	42	aic(k	aic(k	NOUN
alkej-583	101	43	)	)	PUNCT
alkej-583	101	44	1505.5	1505.5	NUM
alkej-583	101	45	25.7	25.7	NUM
alkej-583	101	46	*	*	NUM
alkej-583	101	47	31.6	31.6	NUM
alkej-583	101	48	114.6	114.6	NUM
alkej-583	101	49	225.9	225.9	NUM
alkej-583	101	50	389.8	389.8	NUM
alkej-583	101	51	703.5	703.5	NUM
alkej-583	101	52	1615.9	1615.9	NUM
alkej-583	101	53	modified	modify	VERB
alkej-583	101	54	system	system	NOUN
alkej-583	101	55	aic(k	aic(k	NOUN
alkej-583	101	56	)	)	PUNCT
alkej-583	101	57	1875.4	1875.4	NUM
alkej-583	101	58	87.7	87.7	NUM
alkej-583	101	59	41.1	41.1	NUM
alkej-583	101	60	*	*	PUNCT
alkej-583	101	61	49.1	49.1	NUM
alkej-583	101	62	171.3	171.3	NUM
alkej-583	101	63	353.5	353.5	NUM
alkej-583	101	64	703.5	703.5	NUM
alkej-583	101	65	1724.8	1724.8	NUM
alkej-583	101	66	*	*	PUNCT
alkej-583	101	67	refers	refer	VERB
alkej-583	101	68	to	to	ADP
alkej-583	101	69	the	the	DET
alkej-583	101	70	minimum	minimum	ADJ
alkej-583	101	71	value	value	NOUN
alkej-583	101	72	table	table	NOUN
alkej-583	101	73	2	2	NUM
alkej-583	101	74	,	,	PUNCT
alkej-583	101	75	the	the	DET
alkej-583	101	76	response	response	NOUN
alkej-583	101	77	of	of	ADP
alkej-583	101	78	the	the	DET
alkej-583	101	79	aic	aic	PROPN
alkej-583	101	80	method	method	NOUN
alkej-583	101	81	with	with	ADP
alkej-583	101	82	three	three	NUM
alkej-583	101	83	sources	source	NOUN
alkej-583	101	84	k	k	NOUN
alkej-583	101	85	0	0	NUM
alkej-583	101	86	1	1	NUM
alkej-583	101	87	2	2	NUM
alkej-583	101	88	3	3	NUM
alkej-583	101	89	4	4	NUM
alkej-583	101	90	5	5	NUM
alkej-583	101	91	6	6	NUM
alkej-583	101	92	7	7	NUM
alkej-583	101	93	8	8	NUM
alkej-583	101	94	9	9	NUM
alkej-583	101	95	10	10	NUM
alkej-583	101	96	classical	classical	ADJ
alkej-583	101	97	system	system	NOUN
alkej-583	101	98	aic(k	aic(k	NOUN
alkej-583	101	99	)	)	PUNCT
alkej-583	101	100	1371.1	1371.1	NUM
alkej-583	101	101	96.4	96.4	NUM
alkej-583	101	102	29	29	NUM
alkej-583	101	103	*	*	NOUN
alkej-583	101	104	98.2	98.2	NUM
alkej-583	101	105	190.6	190.6	NUM
alkej-583	101	106	280.4	280.4	NUM
alkej-583	101	107	368.1	368.1	NUM
alkej-583	101	108	455.8	455.8	NUM
alkej-583	101	109	541.2	541.2	NUM
alkej-583	101	110	625.6	625.6	NUM
alkej-583	101	111	710.2	710.2	NUM
alkej-583	101	112	modified	modify	VERB
alkej-583	101	113	system	system	NOUN
alkej-583	101	114	aic(k	aic(k	NOUN
alkej-583	101	115	)	)	PUNCT
alkej-583	101	116	19451.5	19451.5	NUM
alkej-583	101	117	263.7	263.7	NUM
alkej-583	101	118	157.3	157.3	NUM
alkej-583	101	119	38.6	38.6	NUM
alkej-583	101	120	*	*	NOUN
alkej-583	101	121	124.4	124.4	NUM
alkej-583	101	122	411.2	411.2	NUM
alkej-583	101	123	1204.1	1204.1	NUM
alkej-583	101	124	1637.3	1637.3	NUM
alkej-583	101	125	1872.1	1872.1	NUM
alkej-583	101	126	1017.5	1017.5	NUM
alkej-583	101	127	791.9	791.9	NUM
alkej-583	101	128	table	table	NOUN
alkej-583	101	129	2	2	NUM
alkej-583	101	130	,	,	PUNCT
alkej-583	101	131	continue	continue	VERB
alkej-583	101	132	k	k	PROPN
alkej-583	101	133	11	11	NUM
alkej-583	101	134	12	12	NUM
alkej-583	101	135	13	13	NUM
alkej-583	101	136	14	14	NUM
alkej-583	101	137	15	15	NUM
alkej-583	101	138	16	16	NUM
alkej-583	101	139	17	17	NUM
alkej-583	101	140	18	18	NUM
alkej-583	101	141	19	19	NUM
alkej-583	101	142	20	20	NUM
alkej-583	101	143	21	21	NUM
alkej-583	101	144	classical	classical	ADJ
alkej-583	101	145	system	system	NOUN
alkej-583	101	146	aic(k	aic(k	NOUN
alkej-583	101	147	)	)	PUNCT
alkej-583	101	148	811.2	811.2	NUM
alkej-583	101	149	903.5	903.5	NUM
alkej-583	101	150	1004.8	1004.8	NUM
alkej-583	101	151	1120.1	1120.1	NUM
alkej-583	101	152	1255.6	1255.6	NUM
alkej-583	101	153	1431.3	1431.3	NUM
alkej-583	101	154	1673.9	1673.9	NUM
alkej-583	101	155	2077.0	2077.0	NUM
alkej-583	101	156	2816.4	2816.4	NUM
alkej-583	101	157	4978.5	4978.5	NUM
alkej-583	101	158	5816.3	5816.3	NUM
alkej-583	101	159	modified	modify	VERB
alkej-583	101	160	system	system	NOUN
alkej-583	101	161	aic(k	aic(k	NOUN
alkej-583	101	162	)	)	PUNCT
alkej-583	102	1	682.0	682.0	NUM
alkej-583	102	2	619.7	619.7	NUM
alkej-583	102	3	581.3	581.3	NUM
alkej-583	102	4	558.1	558.1	NUM
alkej-583	102	5	544.5	544.5	NUM
alkej-583	102	6	537.7	537.7	NUM
alkej-583	102	7	536.5	536.5	NUM
alkej-583	102	8	539.9	539.9	NUM
alkej-583	102	9	547.2	547.2	NUM
alkej-583	102	10	557.7	557.7	NUM
alkej-583	102	11	554.3	554.3	NUM
alkej-583	102	12	*	*	PUNCT
alkej-583	102	13	refers	refer	VERB
alkej-583	102	14	to	to	ADP
alkej-583	102	15	the	the	DET
alkej-583	102	16	minimum	minimum	ADJ
alkej-583	102	17	value	value	NOUN
alkej-583	102	18	5	5	NUM
alkej-583	102	19	.	.	PUNCT
alkej-583	102	20	simulation	simulation	NOUN
alkej-583	102	21	and	and	CCONJ
alkej-583	102	22	results	result	NOUN
alkej-583	102	23	in	in	ADP
alkej-583	102	24	order	order	NOUN
alkej-583	102	25	to	to	PART
alkej-583	102	26	compare	compare	VERB
alkej-583	102	27	the	the	DET
alkej-583	102	28	performance	performance	NOUN
alkej-583	102	29	of	of	ADP
alkej-583	102	30	the	the	DET
alkej-583	102	31	above	above	ADJ
alkej-583	102	32	proposed	propose	VERB
alkej-583	102	33	system	system	NOUN
alkej-583	102	34	with	with	ADP
alkej-583	102	35	classical	classical	ADJ
alkej-583	102	36	system	system	NOUN
alkej-583	102	37	(	(	PUNCT
alkej-583	102	38	without	without	ADP
alkej-583	102	39	applying	apply	VERB
alkej-583	102	40	proposed	propose	VERB
alkej-583	102	41	model	model	NOUN
alkej-583	102	42	for	for	ADP
alkej-583	102	43	aic	aic	PROPN
alkej-583	102	44	method	method	PROPN
alkej-583	102	45	)	)	PUNCT
alkej-583	102	46	,	,	PUNCT
alkej-583	102	47	we	we	PRON
alkej-583	102	48	consider	consider	VERB
alkej-583	102	49	two	two	NUM
alkej-583	102	50	cases	case	NOUN
alkej-583	102	51	with	with	ADP
alkej-583	102	52	different	different	ADJ
alkej-583	102	53	values	value	NOUN
alkej-583	102	54	for	for	ADP
alkej-583	102	55	snr	snr	NOUN
alkej-583	102	56	,	,	PUNCT
alkej-583	102	57	the	the	DET
alkej-583	102	58	number	number	NOUN
alkej-583	102	59	of	of	ADP
alkej-583	102	60	sources	source	NOUN
alkej-583	102	61	and	and	CCONJ
alkej-583	102	62	direction	direction	NOUN
alkej-583	102	63	of	of	ADP
alkej-583	102	64	arrival	arrival	NOUN
alkej-583	102	65	for	for	ADP
alkej-583	102	66	the	the	DET
alkej-583	102	67	sources	source	NOUN
alkej-583	102	68	.	.	PUNCT
alkej-583	103	1	the	the	DET
alkej-583	103	2	first	first	ADJ
alkej-583	103	3	case	case	NOUN
alkej-583	103	4	,	,	PUNCT
alkej-583	103	5	a	a	DET
alkej-583	103	6	uniform	uniform	ADJ
alkej-583	103	7	linear	linear	ADJ
alkej-583	103	8	array	array	NOUN
alkej-583	103	9	(	(	PUNCT
alkej-583	103	10	ula	ula	PROPN
alkej-583	103	11	)	)	PUNCT
alkej-583	103	12	of	of	ADP
alkej-583	103	13	8	8	NUM
alkej-583	103	14	sensors	sensor	NOUN
alkej-583	103	15	is	be	AUX
alkej-583	103	16	consider	consider	VERB
alkej-583	103	17	with	with	ADP
alkej-583	103	18	a	a	DET
alkej-583	103	19	half	half	ADJ
alkej-583	103	20	-	-	PUNCT
alkej-583	103	21	wave	wave	NOUN
alkej-583	103	22	length	length	NOUN
alkej-583	103	23	inter	inter	ADJ
alkej-583	103	24	-	-	ADJ
alkej-583	103	25	element	element	ADJ
alkej-583	103	26	spacing	spacing	NOUN
alkej-583	103	27	,	,	PUNCT
alkej-583	103	28	used	use	VERB
alkej-583	103	29	to	to	PART
alkej-583	103	30	separate	separate	VERB
alkej-583	103	31	two	two	NUM
alkej-583	103	32	uncorrelated	uncorrelated	ADJ
alkej-583	103	33	emitters	emitter	NOUN
alkej-583	103	34	based	base	VERB
alkej-583	103	35	on	on	ADP
alkej-583	103	36	a	a	DET
alkej-583	103	37	batch	batch	NOUN
alkej-583	103	38	of	of	ADP
alkej-583	103	39	n=100	n=100	NUM
alkej-583	103	40	data	data	NOUN
alkej-583	103	41	samples	sample	NOUN
alkej-583	103	42	with	with	ADP
alkej-583	103	43	snr=13	snr=13	PROPN
alkej-583	103	44	db	db	PROPN
alkej-583	103	45	.	.	PUNCT
alkej-583	104	1	the	the	DET
alkej-583	104	2	first	first	ADJ
alkej-583	104	3	source	source	NOUN
alkej-583	104	4	is	be	AUX
alkej-583	104	5	at	at	ADP
alkej-583	104	6	50	50	NUM
alkej-583	104	7	o	o	NOUN
alkej-583	104	8	while	while	SCONJ
alkej-583	104	9	the	the	DET
alkej-583	104	10	second	second	ADJ
alkej-583	104	11	source	source	NOUN
alkej-583	104	12	is	be	AUX
alkej-583	104	13	at	at	ADP
alkej-583	104	14	55	55	NUM
alkej-583	104	15	o	o	NOUN
alkej-583	104	16	.	.	PUNCT
alkej-583	105	1	it	it	PRON
alkej-583	105	2	is	be	AUX
alkej-583	105	3	noticed	notice	VERB
alkej-583	105	4	the	the	DET
alkej-583	105	5	response	response	NOUN
alkej-583	105	6	of	of	ADP
alkej-583	105	7	classical	classical	ADJ
alkej-583	105	8	system	system	NOUN
alkej-583	105	9	shown	show	VERB
alkej-583	105	10	in	in	ADP
alkej-583	105	11	table(1	table(1	PROPN
alkej-583	105	12	)	)	PUNCT
alkej-583	105	13	,	,	PUNCT
alkej-583	105	14	the	the	DET
alkej-583	105	15	minimum	minimum	ADJ
alkej-583	105	16	value	value	NOUN
alkej-583	105	17	of	of	ADP
alkej-583	105	18	aic	aic	PROPN
alkej-583	105	19	is	be	AUX
alkej-583	105	20	obtained	obtain	VERB
alkej-583	105	21	incorrectly	incorrectly	ADV
alkej-583	105	22	for	for	ADP
alkej-583	105	23	k	k	PROPN
alkej-583	105	24	=	=	SYM
alkej-583	105	25	1	1	X
alkej-583	105	26	.	.	PUNCT
alkej-583	106	1	the	the	DET
alkej-583	106	2	parameter	parameter	NOUN
alkej-583	106	3	are	be	AUX
alkej-583	106	4	used	use	VERB
alkej-583	106	5	in	in	ADP
alkej-583	106	6	proposed	propose	VERB
alkej-583	106	7	system	system	NOUN
alkej-583	106	8	include	include	VERB
alkej-583	106	9	daubechies	daubechie	NOUN
alkej-583	106	10	wavelet	wavelet	NOUN
alkej-583	106	11	(	(	PUNCT
alkej-583	106	12	db18	db18	PROPN
alkej-583	106	13	)	)	PUNCT
alkej-583	106	14	and	and	CCONJ
alkej-583	106	15	one	one	NUM
alkej-583	106	16	level	level	NOUN
alkej-583	106	17	decomposition	decomposition	NOUN
alkej-583	106	18	,	,	PUNCT
alkej-583	106	19	the	the	DET
alkej-583	106	20	response	response	NOUN
alkej-583	106	21	of	of	ADP
alkej-583	106	22	proposed	propose	VERB
alkej-583	106	23	system	system	NOUN
alkej-583	106	24	shown	show	VERB
alkej-583	106	25	in	in	ADP
alkej-583	106	26	table	table	NOUN
alkej-583	106	27	(	(	PUNCT
alkej-583	106	28	1	1	NUM
alkej-583	106	29	)	)	PUNCT
alkej-583	106	30	,	,	PUNCT
alkej-583	106	31	the	the	DET
alkej-583	106	32	minimum	minimum	ADJ
alkej-583	106	33	value	value	NOUN
alkej-583	106	34	of	of	ADP
alkej-583	106	35	aic	aic	PROPN
alkej-583	106	36	is	be	AUX
alkej-583	106	37	obtained	obtain	VERB
alkej-583	106	38	correctly	correctly	ADV
alkej-583	106	39	for	for	ADP
alkej-583	106	40	k	k	PROPN
alkej-583	106	41	=	=	SYM
alkej-583	106	42	2	2	X
alkej-583	106	43	.	.	PUNCT
alkej-583	107	1	the	the	DET
alkej-583	107	2	second	second	ADJ
alkej-583	107	3	case	case	NOUN
alkej-583	107	4	,	,	PUNCT
alkej-583	107	5	a	a	DET
alkej-583	107	6	uniform	uniform	ADJ
alkej-583	107	7	linear	linear	ADJ
alkej-583	107	8	array	array	NOUN
alkej-583	107	9	(	(	PUNCT
alkej-583	107	10	ula	ula	PROPN
alkej-583	107	11	)	)	PUNCT
alkej-583	107	12	of	of	ADP
alkej-583	107	13	22	22	NUM
alkej-583	107	14	sensors	sensor	NOUN
alkej-583	107	15	is	be	AUX
alkej-583	107	16	consider	consider	VERB
alkej-583	107	17	with	with	ADP
alkej-583	107	18	a	a	DET
alkej-583	107	19	half	half	ADJ
alkej-583	107	20	-	-	PUNCT
alkej-583	107	21	wave	wave	NOUN
alkej-583	107	22	length	length	NOUN
alkej-583	107	23	inter	inter	ADJ
alkej-583	107	24	-	-	ADJ
alkej-583	107	25	element	element	ADJ
alkej-583	107	26	spacing	spacing	NOUN
alkej-583	107	27	,	,	PUNCT
alkej-583	107	28	used	use	VERB
alkej-583	107	29	to	to	PART
alkej-583	107	30	separate	separate	VERB
alkej-583	107	31	three	three	NUM
alkej-583	107	32	uncorrelated	uncorrelated	ADJ
alkej-583	107	33	emitters	emitter	NOUN
alkej-583	107	34	based	base	VERB
alkej-583	107	35	on	on	ADP
alkej-583	107	36	a	a	DET
alkej-583	107	37	batch	batch	NOUN
alkej-583	107	38	of	of	ADP
alkej-583	107	39	n=100	n=100	NUM
alkej-583	107	40	data	data	NOUN
alkej-583	107	41	samples	sample	NOUN
alkej-583	107	42	with	with	ADP
alkej-583	107	43	snr=	snr=	PROPN
alkej-583	107	44	2	2	NUM
alkej-583	107	45	db	db	NOUN
alkej-583	107	46	.	.	PUNCT
alkej-583	108	1	the	the	DET
alkej-583	108	2	first	first	ADJ
alkej-583	108	3	source	source	NOUN
alkej-583	108	4	is	be	AUX
alkej-583	108	5	at	at	ADP
alkej-583	108	6	50	50	NUM
alkej-583	108	7	o	o	NOUN
alkej-583	108	8	,	,	PUNCT
alkej-583	108	9	the	the	DET
alkej-583	108	10	second	second	ADJ
alkej-583	108	11	source	source	NOUN
alkej-583	108	12	is	be	AUX
alkej-583	108	13	at	at	ADP
alkej-583	108	14	52	52	NUM
alkej-583	108	15	o	o	NOUN
alkej-583	108	16	,	,	PUNCT
alkej-583	108	17	while	while	SCONJ
alkej-583	108	18	the	the	DET
alkej-583	108	19	third	third	ADJ
alkej-583	108	20	source	source	NOUN
alkej-583	108	21	is	be	AUX
alkej-583	108	22	at	at	ADP
alkej-583	108	23	54	54	NUM
alkej-583	108	24	o	o	NOUN
alkej-583	108	25	.	.	PUNCT
alkej-583	109	1	it	it	PRON
alkej-583	109	2	is	be	AUX
alkej-583	109	3	noticed	notice	VERB
alkej-583	109	4	the	the	DET
alkej-583	109	5	response	response	NOUN
alkej-583	109	6	of	of	ADP
alkej-583	109	7	classical	classical	ADJ
alkej-583	109	8	system	system	NOUN
alkej-583	109	9	mohammed	mohammed	PROPN
alkej-583	109	10	h.	h.	PROPN
alkej-583	109	11	miry	miry	PROPN
alkej-583	109	12	al	al	PROPN
alkej-583	109	13	-	-	PUNCT
alkej-583	109	14	khwarizmi	khwarizmi	PROPN
alkej-583	109	15	engineering	engineering	NOUN
alkej-583	109	16	journal	journal	PROPN
alkej-583	109	17	,	,	PUNCT
alkej-583	109	18	vol.5	vol.5	PROPN
alkej-583	109	19	,	,	PUNCT
alkej-583	109	20	no	no	INTJ
alkej-583	109	21	.	.	NOUN
alkej-583	109	22	4	4	NUM
alkej-583	109	23	,	,	PUNCT
alkej-583	109	24	pp	pp	ADV
alkej-583	109	25	51	51	NUM
alkej-583	109	26	-	-	SYM
alkej-583	109	27	57	57	NUM
alkej-583	109	28	(	(	PUNCT
alkej-583	109	29	2009	2009	NUM
alkej-583	109	30	)	)	PUNCT
alkej-583	109	31	56	56	NUM
alkej-583	109	32	shown	show	VERB
alkej-583	109	33	in	in	ADP
alkej-583	109	34	table	table	NOUN
alkej-583	109	35	(	(	PUNCT
alkej-583	109	36	2	2	NUM
alkej-583	109	37	)	)	PUNCT
alkej-583	109	38	,	,	PUNCT
alkej-583	109	39	the	the	DET
alkej-583	109	40	minimum	minimum	ADJ
alkej-583	109	41	value	value	NOUN
alkej-583	109	42	of	of	ADP
alkej-583	109	43	aic	aic	PROPN
alkej-583	109	44	is	be	AUX
alkej-583	109	45	obtained	obtain	VERB
alkej-583	109	46	incorrectly	incorrectly	ADV
alkej-583	109	47	for	for	ADP
alkej-583	109	48	k	k	PROPN
alkej-583	109	49	=	=	SYM
alkej-583	109	50	2	2	X
alkej-583	109	51	.	.	PUNCT
alkej-583	110	1	the	the	DET
alkej-583	110	2	response	response	NOUN
alkej-583	110	3	of	of	ADP
alkej-583	110	4	proposed	propose	VERB
alkej-583	110	5	system	system	NOUN
alkej-583	110	6	shown	show	VERB
alkej-583	110	7	in	in	ADP
alkej-583	110	8	table	table	NOUN
alkej-583	110	9	(	(	PUNCT
alkej-583	110	10	2	2	NUM
alkej-583	110	11	)	)	PUNCT
alkej-583	110	12	,	,	PUNCT
alkej-583	110	13	the	the	DET
alkej-583	110	14	minimum	minimum	ADJ
alkej-583	110	15	value	value	NOUN
alkej-583	110	16	of	of	ADP
alkej-583	110	17	aic	aic	PROPN
alkej-583	110	18	is	be	AUX
alkej-583	110	19	obtained	obtain	VERB
alkej-583	110	20	correctly	correctly	ADV
alkej-583	110	21	for	for	ADP
alkej-583	110	22	k	k	PROPN
alkej-583	110	23	=	=	SYM
alkej-583	110	24	3	3	X
alkej-583	110	25	.	.	NOUN
alkej-583	110	26	through	through	ADP
alkej-583	110	27	comparison	comparison	NOUN
alkej-583	110	28	between	between	ADP
alkej-583	110	29	the	the	DET
alkej-583	110	30	responses	response	NOUN
alkej-583	110	31	of	of	ADP
alkej-583	110	32	classical	classical	ADJ
alkej-583	110	33	system	system	NOUN
alkej-583	110	34	with	with	ADP
alkej-583	110	35	the	the	DET
alkej-583	110	36	responses	response	NOUN
alkej-583	110	37	of	of	ADP
alkej-583	110	38	proposed	propose	VERB
alkej-583	110	39	system	system	NOUN
alkej-583	110	40	,	,	PUNCT
alkej-583	110	41	it	it	PRON
alkej-583	110	42	is	be	AUX
alkej-583	110	43	seen	see	VERB
alkej-583	110	44	that	that	SCONJ
alkej-583	110	45	the	the	DET
alkej-583	110	46	first	first	NOUN
alkej-583	110	47	does	do	AUX
alkej-583	110	48	not	not	PART
alkej-583	110	49	yield	yield	VERB
alkej-583	110	50	the	the	DET
alkej-583	110	51	correct	correct	ADJ
alkej-583	110	52	number	number	NOUN
alkej-583	110	53	of	of	ADP
alkej-583	110	54	the	the	DET
alkej-583	110	55	sources	source	NOUN
alkej-583	110	56	but	but	CCONJ
alkej-583	110	57	the	the	DET
alkej-583	110	58	proposed	propose	VERB
alkej-583	110	59	model	model	NOUN
alkej-583	110	60	gives	give	VERB
alkej-583	110	61	the	the	DET
alkej-583	110	62	correct	correct	ADJ
alkej-583	110	63	number	number	NOUN
alkej-583	110	64	of	of	ADP
alkej-583	110	65	the	the	DET
alkej-583	110	66	sources	source	NOUN
alkej-583	110	67	as	as	SCONJ
alkej-583	110	68	seen	see	VERB
alkej-583	110	69	in	in	ADP
alkej-583	110	70	table	table	NOUN
alkej-583	110	71	(	(	PUNCT
alkej-583	110	72	1	1	NUM
alkej-583	110	73	)	)	PUNCT
alkej-583	110	74	and	and	CCONJ
alkej-583	110	75	table	table	NOUN
alkej-583	110	76	(	(	PUNCT
alkej-583	110	77	2	2	NUM
alkej-583	110	78	)	)	PUNCT
alkej-583	110	79	.	.	PUNCT
alkej-583	111	1	6	6	X
alkej-583	111	2	.	.	X
alkej-583	111	3	conclusion	conclusion	NOUN
alkej-583	111	4	in	in	ADP
alkej-583	111	5	this	this	DET
alkej-583	111	6	paper	paper	NOUN
alkej-583	111	7	,	,	PUNCT
alkej-583	111	8	we	we	PRON
alkej-583	111	9	have	have	AUX
alkej-583	111	10	introduced	introduce	VERB
alkej-583	111	11	a	a	DET
alkej-583	111	12	new	new	ADJ
alkej-583	111	13	system	system	NOUN
alkej-583	111	14	to	to	PART
alkej-583	111	15	determine	determine	VERB
alkej-583	111	16	the	the	DET
alkej-583	111	17	number	number	NOUN
alkej-583	111	18	of	of	ADP
alkej-583	111	19	sources	source	NOUN
alkej-583	111	20	by	by	ADP
alkej-583	111	21	applying	apply	VERB
alkej-583	111	22	aic	aic	PROPN
alkej-583	111	23	to	to	ADP
alkej-583	111	24	the	the	DET
alkej-583	111	25	outputs	output	NOUN
alkej-583	111	26	of	of	ADP
alkej-583	111	27	filter	filter	NOUN
alkej-583	111	28	banks	bank	NOUN
alkej-583	111	29	consisting	consist	VERB
alkej-583	111	30	qmf	qmf	NOUN
alkej-583	111	31	.	.	PUNCT
alkej-583	112	1	in	in	ADP
alkej-583	112	2	the	the	DET
alkej-583	112	3	paper	paper	NOUN
alkej-583	112	4	,	,	PUNCT
alkej-583	112	5	the	the	DET
alkej-583	112	6	classical	classical	ADJ
alkej-583	112	7	system	system	NOUN
alkej-583	112	8	and	and	CCONJ
alkej-583	112	9	proposed	propose	VERB
alkej-583	112	10	system	system	NOUN
alkej-583	112	11	are	be	AUX
alkej-583	112	12	compared	compare	VERB
alkej-583	112	13	through	through	ADP
alkej-583	112	14	simulation	simulation	NOUN
alkej-583	112	15	.	.	PUNCT
alkej-583	113	1	the	the	DET
alkej-583	113	2	proposed	propose	VERB
alkej-583	113	3	method	method	NOUN
alkej-583	113	4	can	can	AUX
alkej-583	113	5	give	give	VERB
alkej-583	113	6	good	good	ADJ
alkej-583	113	7	estimation	estimation	NOUN
alkej-583	113	8	for	for	ADP
alkej-583	113	9	the	the	DET
alkej-583	113	10	number	number	NOUN
alkej-583	113	11	of	of	ADP
alkej-583	113	12	the	the	DET
alkej-583	113	13	sources	source	NOUN
alkej-583	113	14	even	even	ADV
alkej-583	113	15	if	if	SCONJ
alkej-583	113	16	low	low	ADJ
alkej-583	113	17	snr	snr	PROPN
alkej-583	113	18	environment	environment	NOUN
alkej-583	113	19	while	while	SCONJ
alkej-583	113	20	the	the	DET
alkej-583	113	21	classical	classical	ADJ
alkej-583	113	22	system	system	NOUN
alkej-583	113	23	is	be	AUX
alkej-583	113	24	fail	fail	ADJ
alkej-583	113	25	under	under	ADP
alkej-583	113	26	low	low	ADJ
alkej-583	113	27	snr	snr	NOUN
alkej-583	113	28	.	.	PUNCT
alkej-583	114	1	the	the	DET
alkej-583	114	2	qmf	qmf	NOUN
alkej-583	114	3	in	in	ADP
alkej-583	114	4	proposed	propose	VERB
alkej-583	114	5	model	model	NOUN
alkej-583	114	6	helps	help	VERB
alkej-583	114	7	to	to	PART
alkej-583	114	8	reduce	reduce	VERB
alkej-583	114	9	the	the	DET
alkej-583	114	10	error	error	NOUN
alkej-583	114	11	of	of	ADP
alkej-583	114	12	the	the	DET
alkej-583	114	13	array	array	NOUN
alkej-583	114	14	data	data	NOUN
alkej-583	114	15	covariance	covariance	NOUN
alkej-583	114	16	estimated	estimate	VERB
alkej-583	114	17	from	from	ADP
alkej-583	114	18	finite	finite	ADJ
alkej-583	114	19	data	datum	NOUN
alkej-583	114	20	and	and	CCONJ
alkej-583	114	21	thus	thus	ADV
alkej-583	114	22	reduce	reduce	VERB
alkej-583	114	23	the	the	DET
alkej-583	114	24	error	error	NOUN
alkej-583	114	25	of	of	ADP
alkej-583	114	26	the	the	DET
alkej-583	114	27	aic	aic	PROPN
alkej-583	114	28	estimation	estimation	NOUN
alkej-583	114	29	.	.	PUNCT
alkej-583	115	1	7	7	X
alkej-583	115	2	.	.	NUM
alkej-583	115	3	references	reference	NOUN
alkej-583	115	4	[	[	X
alkej-583	115	5	1	1	NUM
alkej-583	115	6	]	]	PUNCT
alkej-583	115	7	a.	a.	NOUN
alkej-583	115	8	kumar	kumar	PROPN
alkej-583	115	9	,	,	PUNCT
alkej-583	115	10	g.	g.	PROPN
alkej-583	115	11	k.	k.	PROPN
alkej-583	115	12	singh	singh	PROPN
alkej-583	115	13	,	,	PUNCT
alkej-583	115	14	and	and	CCONJ
alkej-583	115	15	r.	r.	PROPN
alkej-583	115	16	s.	s.	PROPN
alkej-583	115	17	anand	anand	PROPN
alkej-583	115	18	,	,	PUNCT
alkej-583	115	19	"	"	PUNCT
alkej-583	115	20	near	near	ADP
alkej-583	115	21	perfect	perfect	ADJ
alkej-583	115	22	reconstruction	reconstruction	NOUN
alkej-583	115	23	quadrature	quadrature	NOUN
alkej-583	115	24	mirror	mirror	NOUN
alkej-583	115	25	filter	filter	NOUN
alkej-583	115	26	"	"	PUNCT
alkej-583	115	27	,	,	PUNCT
alkej-583	115	28	proceedings	proceeding	NOUN
alkej-583	115	29	of	of	ADP
alkej-583	115	30	world	world	PROPN
alkej-583	115	31	academy	academy	PROPN
alkej-583	115	32	of	of	ADP
alkej-583	115	33	science	science	PROPN
alkej-583	115	34	,	,	PUNCT
alkej-583	115	35	engineering	engineering	NOUN
alkej-583	115	36	and	and	CCONJ
alkej-583	115	37	|technology	|technology	NOUN
alkej-583	115	38	volume	volume	NOUN
alkej-583	115	39	27	27	NUM
alkej-583	115	40	february	february	PROPN
alkej-583	115	41	2008	2008	NUM
alkej-583	115	42	issn	issn	PROPN
alkej-583	115	43	1307	1307	NUM
alkej-583	115	44	-	-	SYM
alkej-583	115	45	6884	6884	NUM
alkej-583	115	46	.	.	PUNCT
alkej-583	116	1	[	[	X
alkej-583	116	2	2	2	X
alkej-583	116	3	]	]	PUNCT
alkej-583	116	4	d.	d.	PROPN
alkej-583	116	5	estaban	estaban	PROPN
alkej-583	116	6	and	and	CCONJ
alkej-583	116	7	c.	c.	PROPN
alkej-583	116	8	galand	galand	PROPN
alkej-583	116	9	,	,	PUNCT
alkej-583	116	10	“	"	PUNCT
alkej-583	116	11	application	application	NOUN
alkej-583	116	12	of	of	ADP
alkej-583	116	13	quadrature	quadrature	NOUN
alkej-583	116	14	mirror	mirror	NOUN
alkej-583	116	15	filters	filter	NOUN
alkej-583	116	16	to	to	PART
alkej-583	116	17	split	split	VERB
alkej-583	116	18	band	band	NOUN
alkej-583	116	19	voice	voice	NOUN
alkej-583	116	20	coding	code	VERB
alkej-583	116	21	scheme	scheme	NOUN
alkej-583	116	22	,	,	PUNCT
alkej-583	116	23	”	"	PUNCT
alkej-583	116	24	in	in	ADP
alkej-583	116	25	proc	proc	NOUN
alkej-583	116	26	.	.	PUNCT
alkej-583	117	1	ieee	ieee	PROPN
alkej-583	117	2	icassp	icassp	PROPN
alkej-583	117	3	,	,	PUNCT
alkej-583	117	4	1997	1997	NUM
alkej-583	117	5	,	,	PUNCT
alkej-583	117	6	pp	pp	ADP
alkej-583	117	7	.	.	PUNCT
alkej-583	118	1	191–195	191–195	NUM
alkej-583	118	2	.	.	PUNCT
alkej-583	119	1	[	[	X
alkej-583	119	2	3	3	X
alkej-583	119	3	]	]	X
alkej-583	119	4	c.	c.	PROPN
alkej-583	119	5	tsai	tsai	PROPN
alkej-583	119	6	,	,	PUNCT
alkej-583	119	7	"	"	PUNCT
alkej-583	119	8	analysis	analysis	NOUN
alkej-583	119	9	of	of	ADP
alkej-583	119	10	complex	complex	ADJ
alkej-583	119	11	quadrature	quadrature	NOUN
alkej-583	119	12	mirror	mirror	NOUN
alkej-583	119	13	filter	filter	NOUN
alkej-583	119	14	banks	bank	NOUN
alkej-583	119	15	"	"	PUNCT
alkej-583	119	16	,	,	PUNCT
alkej-583	119	17	proceeding	proceed	VERB
alkej-583	119	18	of	of	ADP
alkej-583	119	19	world	world	PROPN
alkej-583	119	20	academy	academy	PROPN
alkej-583	119	21	of	of	ADP
alkej-583	119	22	science	science	PROPN
alkej-583	119	23	,	,	PUNCT
alkej-583	119	24	engineering	engineering	NOUN
alkej-583	119	25	and	and	CCONJ
alkej-583	119	26	|technology	|technology	NOUN
alkej-583	119	27	volume	volume	NOUN
alkej-583	119	28	13	13	NUM
alkej-583	119	29	february	february	PROPN
alkej-583	119	30	2006	2006	NUM
alkej-583	119	31	issn	issn	PROPN
alkej-583	119	32	1307	1307	NUM
alkej-583	119	33	-	-	SYM
alkej-583	119	34	6884	6884	NUM
alkej-583	119	35	.	.	PUNCT
alkej-583	120	1	[	[	X
alkej-583	120	2	4	4	NUM
alkej-583	120	3	]	]	PUNCT
alkej-583	120	4	m.	m.	NOUN
alkej-583	120	5	kaveh	kaveh	PROPN
alkej-583	120	6	,	,	PUNCT
alkej-583	120	7	h.	h.	PROPN
alkej-583	120	8	wang	wang	PROPN
alkej-583	120	9	,	,	PUNCT
alkej-583	120	10	and	and	CCONJ
alkej-583	120	11	h.	h.	PROPN
alkej-583	120	12	hung	hung	PROPN
alkej-583	120	13	,	,	PUNCT
alkej-583	120	14	“	"	PUNCT
alkej-583	120	15	on	on	ADP
alkej-583	120	16	the	the	DET
alkej-583	120	17	theoretical	theoretical	ADJ
alkej-583	120	18	performance	performance	NOUN
alkej-583	120	19	of	of	ADP
alkej-583	120	20	a	a	DET
alkej-583	120	21	class	class	NOUN
alkej-583	120	22	of	of	ADP
alkej-583	120	23	estimators	estimator	NOUN
alkej-583	120	24	of	of	ADP
alkej-583	120	25	the	the	DET
alkej-583	120	26	number	number	NOUN
alkej-583	120	27	of	of	ADP
alkej-583	120	28	narrow	narrow	ADJ
alkej-583	120	29	-	-	PUNCT
alkej-583	120	30	band	band	NOUN
alkej-583	120	31	sources	source	NOUN
alkej-583	120	32	,	,	PUNCT
alkej-583	120	33	”	"	PUNCT
alkej-583	120	34	ieee	ieee	NOUN
alkej-583	120	35	trans	tran	NOUN
alkej-583	120	36	.	.	PUNCT
alkej-583	121	1	on	on	ADP
alkej-583	121	2	acustic	acustic	ADJ
alkej-583	121	3	speech	speech	NOUN
alkej-583	121	4	and	and	CCONJ
alkej-583	121	5	signal	signal	NOUN
alkej-583	121	6	processing	processing	NOUN
alkej-583	121	7	,	,	PUNCT
alkej-583	121	8	vol	vol	NOUN
alkej-583	121	9	.	.	PUNCT
alkej-583	122	1	assp-35	assp-35	PROPN
alkej-583	122	2	,	,	PUNCT
alkej-583	122	3	no	no	INTJ
alkej-583	122	4	.	.	NOUN
alkej-583	122	5	11	11	NUM
alkej-583	122	6	,	,	PUNCT
alkej-583	122	7	pp	pp	ADJ
alkej-583	122	8	.	.	PUNCT
alkej-583	123	1	1350–1352	1350–1352	NUM
alkej-583	123	2	,	,	PUNCT
alkej-583	123	3	1987	1987	NUM
alkej-583	123	4	.	.	PUNCT
alkej-583	124	1	[	[	X
alkej-583	124	2	5	5	NUM
alkej-583	124	3	]	]	PUNCT
alkej-583	124	4	f.	f.	PROPN
alkej-583	124	5	ridder	ridder	PROPN
alkej-583	124	6	,	,	PUNCT
alkej-583	124	7	r.	r.	PROPN
alkej-583	124	8	pintelon	pintelon	PROPN
alkej-583	124	9	,	,	PUNCT
alkej-583	124	10	j.	j.	PROPN
alkej-583	124	11	schouken	schouken	PROPN
alkej-583	124	12	and	and	CCONJ
alkej-583	124	13	d.	d.	PROPN
alkej-583	124	14	gillikin	gillikin	PROPN
alkej-583	124	15	,	,	PUNCT
alkej-583	124	16	"	"	PUNCT
alkej-583	124	17	modified	modify	VERB
alkej-583	124	18	aic	aic	PROPN
alkej-583	124	19	and	and	CCONJ
alkej-583	124	20	mdl	mdl	PROPN
alkej-583	124	21	model	model	NOUN
alkej-583	124	22	selection	selection	NOUN
alkej-583	124	23	criteria	criterion	NOUN
alkej-583	124	24	for	for	ADP
alkej-583	124	25	short	short	ADJ
alkej-583	124	26	data	datum	NOUN
alkej-583	124	27	records	record	NOUN
alkej-583	124	28	"	"	PUNCT
alkej-583	124	29	ieee	ieee	PROPN
alkej-583	124	30	trans	tran	NOUN
alkej-583	124	31	.	.	PUNCT
alkej-583	125	1	on	on	ADP
alkej-583	125	2	instrumentation	instrumentation	NOUN
alkej-583	125	3	and	and	CCONJ
alkej-583	125	4	measurement	measurement	NOUN
alkej-583	125	5	,	,	PUNCT
alkej-583	125	6	vol	vol	NOUN
alkej-583	125	7	.	.	PROPN
alkej-583	125	8	54	54	NUM
alkej-583	125	9	,	,	PUNCT
alkej-583	125	10	no	no	INTJ
alkej-583	125	11	.	.	NOUN
alkej-583	125	12	1	1	NUM
alkej-583	125	13	,	,	PUNCT
alkej-583	125	14	february	february	PROPN
alkej-583	125	15	2005	2005	NUM
alkej-583	125	16	.	.	PUNCT
alkej-583	126	1	[	[	X
alkej-583	126	2	6	6	NUM
alkej-583	126	3	]	]	PUNCT
alkej-583	126	4	a.	a.	NOUN
alkej-583	126	5	bal	bal	PROPN
alkej-583	126	6	,	,	PUNCT
alkej-583	126	7	"	"	PUNCT
alkej-583	126	8	wavelet	wavelet	NOUN
alkej-583	126	9	denoising	denoising	NOUN
alkej-583	126	10	for	for	ADP
alkej-583	126	11	geophysics	geophysics	NOUN
alkej-583	126	12	images	image	NOUN
alkej-583	126	13	"	"	PUNCT
alkej-583	126	14	,	,	PUNCT
alkej-583	126	15	international	international	ADJ
alkej-583	126	16	conference	conference	NOUN
alkej-583	126	17	on	on	ADP
alkej-583	126	18	earth	earth	NOUN
alkej-583	126	19	sciences	science	NOUN
alkej-583	126	20	and	and	CCONJ
alkej-583	126	21	electronics-2002	electronics-2002	NOUN
alkej-583	126	22	(	(	PUNCT
alkej-583	126	23	icese-2002	icese-2002	NOUN
alkej-583	126	24	)	)	PUNCT
alkej-583	126	25	pp	pp	ADJ
alkej-583	126	26	.	.	PUNCT
alkej-583	127	1	165	165	NUM
alkej-583	127	2	-	-	SYM
alkej-583	127	3	170	170	NUM
alkej-583	127	4	[	[	X
alkej-583	127	5	7	7	X
alkej-583	127	6	]	]	X
alkej-583	127	7	u.	u.	PROPN
alkej-583	127	8	e.	e.	PROPN
alkej-583	127	9	emir	emir	PROPN
alkej-583	127	10	,	,	PUNCT
alkej-583	127	11	c.	c.	PROPN
alkej-583	127	12	b.	b.	PROPN
alkej-583	127	13	akgül	akgül	PROPN
alkej-583	127	14	and	and	CCONJ
alkej-583	127	15	a.	a.	NOUN
alkej-583	127	16	akın	akın	PROPN
alkej-583	127	17	,	,	PUNCT
alkej-583	127	18	"	"	PUNCT
alkej-583	127	19	wavelet	wavelet	NOUN
alkej-583	127	20	denoising	denoising	NOUN
alkej-583	127	21	vs	vs	ADP
alkej-583	127	22	ica	ica	PROPN
alkej-583	127	23	denoising	denoise	VERB
alkej-583	127	24	for	for	ADP
alkej-583	127	25	functional	functional	ADJ
alkej-583	127	26	optical	optical	ADJ
alkej-583	127	27	imaging	imaging	NOUN
alkej-583	127	28	"	"	PUNCT
alkej-583	127	29	,	,	PUNCT
alkej-583	127	30	proceedings	proceeding	NOUN
alkej-583	127	31	of	of	ADP
alkej-583	127	32	the	the	DET
alkej-583	127	33	1st	1st	ADJ
alkej-583	127	34	international	international	ADJ
alkej-583	127	35	ieee	ieee	PROPN
alkej-583	127	36	embs	emb	NOUN
alkej-583	127	37	,	,	PUNCT
alkej-583	127	38	conference	conference	NOUN
alkej-583	127	39	on	on	ADP
alkej-583	127	40	neural	neural	ADJ
alkej-583	127	41	engineering	engineering	NOUN
alkej-583	127	42	,	,	PUNCT
alkej-583	127	43	capri	capri	NOUN
alkej-583	127	44	island	island	NOUN
alkej-583	127	45	,	,	PUNCT
alkej-583	127	46	italy	italy	PROPN
alkej-583	127	47	,	,	PUNCT
alkej-583	127	48	march	march	PROPN
alkej-583	127	49	20	20	NUM
alkej-583	127	50	-	-	SYM
alkej-583	127	51	22	22	NUM
alkej-583	127	52	,	,	PUNCT
alkej-583	127	53	2003	2003	NUM
alkej-583	127	54	.	.	PUNCT
alkej-583	128	1	[	[	X
alkej-583	128	2	8	8	NUM
alkej-583	128	3	]	]	X
alkej-583	128	4	d.	d.	PROPN
alkej-583	128	5	l.	l.	PROPN
alkej-583	128	6	donoho	donoho	PROPN
alkej-583	128	7	,	,	PUNCT
alkej-583	128	8	“	"	PUNCT
alkej-583	128	9	de	de	X
alkej-583	128	10	-	-	ADJ
alkej-583	128	11	noising	noising	NOUN
alkej-583	128	12	by	by	ADP
alkej-583	128	13	softthresholding	softthresholde	VERB
alkej-583	128	14	,	,	PUNCT
alkej-583	128	15	”	"	PUNCT
alkej-583	128	16	ieee	ieee	NOUN
alkej-583	128	17	trans	tran	NOUN
alkej-583	128	18	.	.	PUNCT
alkej-583	129	1	inform	inform	NOUN
alkej-583	129	2	.	.	PUNCT
alkej-583	130	1	theory	theory	NOUN
alkej-583	130	2	,	,	PUNCT
alkej-583	130	3	vol	vol	NOUN
alkej-583	130	4	.	.	PROPN
alkej-583	130	5	41	41	NUM
alkej-583	130	6	,	,	PUNCT
alkej-583	130	7	pp	pp	ADJ
alkej-583	130	8	.	.	PUNCT
alkej-583	131	1	613	613	NUM
alkej-583	131	2	-	-	SYM
alkej-583	131	3	27	27	NUM
alkej-583	131	4	,	,	PUNCT
alkej-583	131	5	1995	1995	NUM
alkej-583	131	6	.	.	PUNCT
alkej-583	132	1	[	[	X
alkej-583	132	2	9	9	NUM
alkej-583	132	3	]	]	X
alkej-583	132	4	e.	e.	PROPN
alkej-583	132	5	fisher	fisher	PROPN
alkej-583	132	6	,	,	PUNCT
alkej-583	132	7	m.	m.	NOUN
alkej-583	132	8	grossman	grossman	PROPN
alkej-583	132	9	,	,	PUNCT
alkej-583	132	10	and	and	CCONJ
alkej-583	132	11	h.	h.	PROPN
alkej-583	132	12	messer	messer	PROPN
alkej-583	132	13	,	,	PUNCT
alkej-583	132	14	“	"	PUNCT
alkej-583	132	15	estimation	estimation	NOUN
alkej-583	132	16	the	the	DET
alkej-583	132	17	number	number	NOUN
alkej-583	132	18	of	of	ADP
alkej-583	132	19	sources	source	NOUN
alkej-583	132	20	using	use	VERB
alkej-583	132	21	information	information	NOUN
alkej-583	132	22	theoretic	theoretic	NOUN
alkej-583	132	23	criteria	criterion	NOUN
alkej-583	132	24	general	general	ADJ
alkej-583	132	25	performance	performance	NOUN
alkej-583	132	26	analysis	analysis	NOUN
alkej-583	132	27	”	"	PUNCT
alkej-583	132	28	,	,	PUNCT
alkej-583	132	29	ieee	ieee	NOUN
alkej-583	132	30	trans	tran	NOUN
alkej-583	132	31	.	.	PUNCT
alkej-583	133	1	on	on	ADP
alkej-583	133	2	signal	signal	ADJ
alkej-583	133	3	processing	processing	NOUN
alkej-583	133	4	vol	vol	NOUN
alkej-583	133	5	.	.	PUNCT
alkej-583	134	1	50	50	NUM
alkej-583	134	2	,	,	PUNCT
alkej-583	134	3	pp	pp	ADJ
alkej-583	134	4	.	.	PUNCT
alkej-583	135	1	1026	1026	NUM
alkej-583	135	2	-	-	SYM
alkej-583	135	3	1035	1035	NUM
alkej-583	135	4	,	,	PUNCT
alkej-583	135	5	may	may	AUX
alkej-583	135	6	2002	2002	NUM
alkej-583	135	7	[	[	X
alkej-583	135	8	10	10	NUM
alkej-583	135	9	]	]	PUNCT
alkej-583	135	10	m.	m.	NOUN
alkej-583	135	11	cedervall	cedervall	PROPN
alkej-583	135	12	and	and	CCONJ
alkej-583	135	13	l.	l.	PROPN
alkej-583	135	14	moses	moses	PROPN
alkej-583	135	15	"	"	PUNCT
alkej-583	135	16	efficient	efficient	ADJ
alkej-583	135	17	maximum	maximum	ADJ
alkej-583	135	18	likelihood	likelihood	NOUN
alkej-583	135	19	doa	doa	PROPN
alkej-583	135	20	estimation	estimation	NOUN
alkej-583	135	21	for	for	ADP
alkej-583	135	22	signals	signal	NOUN
alkej-583	135	23	with	with	ADP
alkej-583	135	24	known	know	VERB
alkej-583	135	25	waveforms	waveform	NOUN
alkej-583	135	26	in	in	ADP
alkej-583	135	27	the	the	DET
alkej-583	135	28	presence	presence	NOUN
alkej-583	135	29	of	of	ADP
alkej-583	135	30	multipath	multipath	NOUN
alkej-583	135	31	"	"	PUNCT
alkej-583	135	32	,	,	PUNCT
alkej-583	135	33	ieee	ieee	NOUN
alkej-583	135	34	tran	tran	NOUN
alkej-583	135	35	.	.	PUNCT
alkej-583	136	1	on	on	ADP
alkej-583	136	2	signal	signal	ADJ
alkej-583	136	3	processing	processing	NOUN
alkej-583	136	4	,	,	PUNCT
alkej-583	136	5	vol	vol	NOUN
alkej-583	136	6	.	.	PROPN
alkej-583	137	1	45	45	NUM
alkej-583	137	2	.	.	PUNCT
alkej-583	138	1	no	no	INTJ
alkej-583	138	2	.	.	NOUN
alkej-583	139	1	3	3	NUM
alkej-583	139	2	,	,	PUNCT
alkej-583	139	3	march	march	PROPN
alkej-583	139	4	1997	1997	NUM
alkej-583	139	5	.	.	PUNCT
alkej-583	140	1	[	[	X
alkej-583	140	2	11	11	NUM
alkej-583	140	3	]	]	PUNCT
alkej-583	140	4	t.	t.	PROPN
alkej-583	140	5	ayoub	ayoub	PROPN
alkej-583	140	6	and	and	CCONJ
alkej-583	140	7	a.	a.	NOUN
alkej-583	140	8	haimovich	haimovich	PROPN
alkej-583	140	9	,	,	PUNCT
alkej-583	140	10	"	"	PUNCT
alkej-583	140	11	modified	modify	VERB
alkej-583	140	12	glrt	glrt	NOUN
alkej-583	140	13	signal	signal	NOUN
alkej-583	140	14	detection	detection	NOUN
alkej-583	140	15	algorithm	algorithm	NOUN
alkej-583	140	16	"	"	PUNCT
alkej-583	140	17	ieee	ieee	PROPN
alkej-583	140	18	tran	tran	NOUN
alkej-583	140	19	.	.	PUNCT
alkej-583	141	1	on	on	ADP
alkej-583	141	2	aerospace	aerospace	NOUN
alkej-583	141	3	and	and	CCONJ
alkej-583	141	4	electronic	electronic	ADJ
alkej-583	141	5	systems	system	NOUN
alkej-583	141	6	vol.36	vol.36	VERB
alkej-583	141	7	no	no	NOUN
alkej-583	141	8	.	.	NOUN
alkej-583	141	9	3	3	NUM
alkej-583	141	10	,	,	PUNCT
alkej-583	141	11	july	july	PROPN
alkej-583	141	12	2000	2000	NUM
alkej-583	141	13	.	.	PUNCT
alkej-583	142	1	5751	5751	NUM
alkej-583	142	2	،	،	PROPN
alkej-583	142	3	صفحة	صفحة	PROPN
alkej-583	142	4	4	4	NUM
alkej-583	142	5	،	،	NOUN
alkej-583	142	6	العذد	العذد	PROPN
alkej-583	142	7	5محمذ	5محمذ	PROPN
alkej-583	142	8	حسٍن	حسٍن	PROPN
alkej-583	142	9	مري	مري	NOUN
alkej-583	142	10	مجلة	مجلة	ADJ
alkej-583	142	11	الخوارزمً	الخوارزمً	PROPN
alkej-583	142	12	الهنذسٍة	الهنذسٍة	PROPN
alkej-583	142	13	المجلذ	المجلذ	PROPN
alkej-583	142	14	(	(	PUNCT
alkej-583	142	15	2009	2009	NUM
alkej-583	142	16	)	)	PUNCT
alkej-583	142	17	57	57	NUM
alkej-583	142	18	لحسمة	لحسمة	ADJ
alkej-583	142	19	أزالة	أزالة	NOUN
alkej-583	142	20	التشوٌه	التشوٌه	NOUN
alkej-583	142	21	باألعتماد	باألعتماد	VERB
alkej-583	142	22	علىakaikeمعٍار	علىakaikeمعٍار	PROPN
alkej-583	142	23	معلومات	معلومات	VERB
alkej-583	142	24	تطوٌر	تطوٌر	PRON
alkej-583	142	25	تخمٍن	تخمٍن	NOUN
alkej-583	142	26	مرشح	مرشح	PROPN
alkej-583	142	27	مربع	مربع	PROPN
alkej-583	142	28	المرأة	المرأة	PROPN
alkej-583	142	29	محمذ	محمذ	PROPN
alkej-583	142	30	حسٍن	حسٍن	PROPN
alkej-583	143	1	مري	مري	PROPN
alkej-583	143	2	الجبهعت	الجبهعت	NOUN
alkej-583	143	3	التكٌىلىجٍت/	التكٌىلىجٍت/	PROPN
alkej-583	143	4	قسن	قسن	NOUN
alkej-583	143	5	الهٌذست	الهٌذست	PROPN
alkej-583	143	6	الكهزببئٍت	الكهزببئٍت	PROPN
alkej-583	143	7	و	و	PRON
alkej-583	143	8	األلكتزوًٍت	األلكتزوًٍت	NOUN
alkej-583	143	9	الخالصة	الخالصة	VERB
alkej-583	143	10	والتً	والتً	PROPN
alkej-583	143	11	تعتبز	تعتبز	PRON
alkej-583	143	12	ههوت	ههوت	PROPN
alkej-583	143	13	فً	فً	PUNCT
alkej-583	143	14	العذٌذ	العذٌذ	PROPN
alkej-583	143	15	هي	هي	X
alkej-583	143	16	,	,	PUNCT
alkej-583	143	17	هً	هً	PROPN
alkej-583	143	18	طزٌقت	طزٌقت	ADJ
alkej-583	143	19	هعزوفت	هعزوفت	NOUN
alkej-583	143	20	لتخوٍي	لتخوٍي	PROPN
alkej-583	143	21	عذد	عذد	NOUN
alkej-583	143	22	الوصبدر	الوصبدر	PROPN
alkej-583	143	23	الوزتطوت	الوزتطوت	NOUN
alkej-583	143	24	بٌظبم	بٌظبم	PROPN
alkej-583	143	25	الوتذسسبث	الوتذسسبث	VERB
alkej-583	143	26	akaike	akaike	ADV
alkej-583	143	27	(	(	PUNCT
alkej-583	143	28	aic)هعٍبر	aic)هعٍبر	PROPN
alkej-583	143	29	هعلىهبث	هعلىهبث	ADJ
alkej-583	143	30	هذا	هذا	NOUN
alkej-583	143	31	البذث	البذث	VERB
alkej-583	143	32	هختص	هختص	PROPN
alkej-583	143	33	بتطىٌز	بتطىٌز	VERB
alkej-583	143	34	و	و	PRON
alkej-583	143	35	تطبٍق	تطبٍق	ADJ
alkej-583	143	36	هزشخ	هزشخ	PROPN
alkej-583	143	37	هزبع	هزبع	ADV
alkej-583	143	38	.	.	PUNCT
alkej-583	144	1	واطئت(snr	واطئت(snr	PROPN
alkej-583	144	2	)	)	PUNCT
alkej-583	144	3	تصبخ	تصبخ	PROPN
alkej-583	144	4	سٍئت	سٍئت	PROPN
alkej-583	144	5	عٌذهب	عٌذهب	PROPN
alkej-583	144	6	تكىى	تكىى	NOUN
alkej-583	144	7	ًسبت	ًسبت	PROPN
alkej-583	144	8	األشبرة	األشبرة	PROPN
alkej-583	144	9	الى	الى	PROPN
alkej-583	144	10	التشىٌه	التشىٌه	PROPN
alkej-583	144	11	(	(	PUNCT
alkej-583	144	12	aic)اى	aic)اى	PROPN
alkej-583	144	13	أستجببت	أستجببت	PROPN
alkej-583	144	14	طزٌقت	طزٌقت	ADJ
alkej-583	144	15	.التطبٍقبث	.التطبٍقبث	PROPN
alkej-583	144	16	على	على	NOUN
alkej-583	144	17	ًتبئج	ًتبئج	ADP
alkej-583	144	18	دزهت	دزهت	NOUN
alkej-583	144	19	هزشخ	هزشخ	PROPN
alkej-583	144	20	ٌذتىي	ٌذتىي	NUM
alkej-583	144	21	على	على	NOUN
alkej-583	144	22	(	(	PUNCT
alkej-583	144	23	aic)ًذي	aic)ًذي	PROPN
alkej-583	144	24	أقتزدٌب	أقتزدٌب	PROPN
alkej-583	144	25	ًظبم	ًظبم	PROPN
alkej-583	144	26	جذٌذ	جذٌذ	ADP
alkej-583	144	27	لتخوٍي	لتخوٍي	PROPN
alkej-583	144	28	عذد	عذد	NOUN
alkej-583	144	29	الوصبدر	الوصبدر	PROPN
alkej-583	144	30	بىاسطت	بىاسطت	PROPN
alkej-583	144	31	تسلٍط	تسلٍط	PROPN
alkej-583	144	32	.	.	PUNCT
alkej-583	145	1	(	(	PUNCT
alkej-583	145	2	aic	aic	PROPN
alkej-583	145	3	)	)	PUNCT
alkej-583	145	4	لتذسٍي	لتذسٍي	PROPN
alkej-583	145	5	استجببت(qmf)الوزأة	استجببت(qmf)الوزأة	PROPN
alkej-583	145	6	.	.	PUNCT
alkej-583	146	1	واطئت(snr)الٌظبم	واطئت(snr)الٌظبم	PRON
alkej-583	146	2	الوقتزح	الوقتزح	PROPN
alkej-583	146	3	ٌستطٍع	ٌستطٍع	PROPN
alkej-583	146	4	تخوٍي	تخوٍي	PROPN
alkej-583	146	5	عذد	عذد	PROPN
alkej-583	146	6	الوصبدر	الوصبدر	PROPN
alkej-583	146	7	عٌذهب	عٌذهب	PROPN
alkej-583	147	1	تكىى	تكىى	PROPN
alkej-583	148	1	ًسبت	ًسبت	PROPN
alkej-583	148	2	األشبرة	األشبرة	PROPN
alkej-583	148	3	الى	الى	PROPN
alkej-583	148	4	التشىٌه	التشىٌه	PROPN
alkej-583	148	5	.	.	PUNCT
alkej-583	149	1	(	(	PUNCT
alkej-583	149	2	qmf)هزشخ	qmf)هزشخ	PROPN
alkej-583	149	3	هزبع	هزبع	NOUN
alkej-583	149	4	الوزأة	الوزأة	NOUN