id	sid	tid	token	lemma	pos
alkej-9	1	1	human	human	ADJ
alkej-9	1	2	face	face	NOUN
alkej-9	1	3	recognition	recognition	NOUN
alkej-9	1	4	using	use	VERB
alkej-9	1	5	wavelt	wavelt	PROPN
alkej-9	1	6	network1	network1	PROPN
alkej-9	1	7	dr	dr	PROPN
alkej-9	1	8	.	.	PROPN
alkej-9	1	9	tarik	tarik	PROPN
alkej-9	1	10	zeyad	zeyad	PROPN
alkej-9	1	11	/	/	SYM
alkej-9	1	12	al	al	PROPN
alkej-9	1	13	-	-	PUNCT
alkej-9	1	14	khwarizmi	khwarizmi	PROPN
alkej-9	1	15	engineering	engineering	NOUN
alkej-9	1	16	journal	journal	PROPN
alkej-9	1	17	,	,	PUNCT
alkej-9	1	18	vol.1	vol.1	PROPN
alkej-9	1	19	,	,	PUNCT
alkej-9	1	20	no	no	INTJ
alkej-9	1	21	.	.	PUNCT
alkej-9	2	1	2,pp	2,pp	NUM
alkej-9	2	2	14	14	NUM
alkej-9	2	3	-	-	SYM
alkej-9	2	4	21	21	NUM
alkej-9	2	5	(	(	PUNCT
alkej-9	2	6	2005	2005	NUM
alkej-9	2	7	)	)	PUNCT
alkej-9	2	8	14	14	NUM
alkej-9	2	9	al	al	PROPN
alkej-9	2	10	-	-	PUNCT
alkej-9	2	11	khwarizmi	khwarizmi	PROPN
alkej-9	2	12	engineering	engineering	PROPN
alkej-9	2	13	journal	journal	PROPN
alkej-9	2	14	al	al	PROPN
alkej-9	2	15	-	-	PUNCT
alkej-9	2	16	khwarizmi	khwarizmi	PROPN
alkej-9	2	17	engineering	engineering	NOUN
alkej-9	2	18	journal	journal	PROPN
alkej-9	2	19	,	,	PUNCT
alkej-9	2	20	vol.1	vol.1	PROPN
alkej-9	2	21	,	,	PUNCT
alkej-9	2	22	no.2,pp	no.2,pp	ADV
alkej-9	2	23	14	14	NUM
alkej-9	2	24	-	-	SYM
alkej-9	2	25	21	21	NUM
alkej-9	2	26	,	,	PUNCT
alkej-9	2	27	(	(	PUNCT
alkej-9	2	28	2005	2005	NUM
alkej-9	2	29	)	)	PUNCT
alkej-9	2	30	human	human	ADJ
alkej-9	2	31	face	face	NOUN
alkej-9	2	32	recognition	recognition	NOUN
alkej-9	2	33	using	use	VERB
alkej-9	2	34	wavelet	wavelet	PROPN
alkej-9	2	35	network	network	PROPN
alkej-9	2	36	dr	dr	PROPN
alkej-9	2	37	.	.	PROPN
alkej-9	2	38	tarik	tarik	PROPN
alkej-9	2	39	zeyad	zeyad	PROPN
alkej-9	2	40	electrical	electrical	ADJ
alkej-9	2	41	engineering	engineering	NOUN
alkej-9	2	42	department/	department/	NUM
alkej-9	2	43	college	college	NOUN
alkej-9	2	44	of	of	ADP
alkej-9	2	45	engineering/	engineering/	NUM
alkej-9	2	46	university	university	NOUN
alkej-9	2	47	of	of	ADP
alkej-9	2	48	baghdad	baghdad	PROPN
alkej-9	2	49	(	(	PUNCT
alkej-9	2	50	received	receive	VERB
alkej-9	2	51	6	6	NUM
alkej-9	2	52	march	march	NOUN
alkej-9	2	53	2005	2005	NUM
alkej-9	2	54	;	;	PUNCT
alkej-9	2	55	accepted	accept	VERB
alkej-9	2	56	2	2	NUM
alkej-9	2	57	october	october	NOUN
alkej-9	2	58	2005	2005	NUM
alkej-9	2	59	)	)	PUNCT
alkej-9	3	1	abstract	abstract	NOUN
alkej-9	3	2	:	:	PUNCT
alkej-9	3	3	this	this	DET
alkej-9	3	4	paper	paper	NOUN
alkej-9	3	5	presents	present	VERB
alkej-9	3	6	a	a	DET
alkej-9	3	7	study	study	NOUN
alkej-9	3	8	of	of	ADP
alkej-9	3	9	wavelet	wavelet	NOUN
alkej-9	3	10	self	self	NOUN
alkej-9	3	11	-	-	PUNCT
alkej-9	3	12	organizing	organize	VERB
alkej-9	3	13	maps	map	NOUN
alkej-9	3	14	(	(	PUNCT
alkej-9	3	15	wsom	wsom	NOUN
alkej-9	3	16	)	)	PUNCT
alkej-9	3	17	for	for	ADP
alkej-9	3	18	face	face	NOUN
alkej-9	3	19	recognition	recognition	NOUN
alkej-9	3	20	.	.	PUNCT
alkej-9	4	1	the	the	DET
alkej-9	4	2	wsom	wsom	NOUN
alkej-9	4	3	is	be	AUX
alkej-9	4	4	a	a	DET
alkej-9	4	5	feed	feed	NOUN
alkej-9	4	6	forward	forward	ADJ
alkej-9	4	7	network	network	NOUN
alkej-9	4	8	that	that	PRON
alkej-9	4	9	estimates	estimate	VERB
alkej-9	4	10	optimized	optimize	VERB
alkej-9	4	11	wavelet	wavelet	NOUN
alkej-9	4	12	based	base	VERB
alkej-9	4	13	for	for	ADP
alkej-9	4	14	the	the	DET
alkej-9	4	15	discrete	discrete	ADJ
alkej-9	4	16	wavelet	wavelet	NOUN
alkej-9	4	17	transform	transform	NOUN
alkej-9	4	18	(	(	PUNCT
alkej-9	4	19	dwt	dwt	NOUN
alkej-9	4	20	)	)	PUNCT
alkej-9	4	21	on	on	ADP
alkej-9	4	22	the	the	DET
alkej-9	4	23	basis	basis	NOUN
alkej-9	4	24	of	of	ADP
alkej-9	4	25	the	the	DET
alkej-9	4	26	distribution	distribution	NOUN
alkej-9	4	27	of	of	ADP
alkej-9	4	28	the	the	DET
alkej-9	4	29	input	input	NOUN
alkej-9	4	30	data	datum	NOUN
alkej-9	4	31	,	,	PUNCT
alkej-9	4	32	where	where	SCONJ
alkej-9	4	33	wavelet	wavelet	NOUN
alkej-9	4	34	basis	basis	NOUN
alkej-9	4	35	transforms	transform	NOUN
alkej-9	4	36	are	be	AUX
alkej-9	4	37	used	use	VERB
alkej-9	4	38	as	as	ADP
alkej-9	4	39	activation	activation	NOUN
alkej-9	4	40	function	function	NOUN
alkej-9	4	41	.	.	PUNCT
alkej-9	5	1	keywords	keyword	NOUN
alkej-9	5	2	:	:	PUNCT
alkej-9	5	3	discrete	discrete	ADJ
alkej-9	5	4	wavelet	wavelet	NOUN
alkej-9	5	5	transform	transform	NOUN
alkej-9	5	6	,	,	PUNCT
alkej-9	5	7	wsom	wsom	NOUN
alkej-9	5	8	,	,	PUNCT
alkej-9	5	9	back	back	ADJ
alkej-9	5	10	propagation	propagation	NOUN
alkej-9	5	11	.	.	PUNCT
alkej-9	6	1	1	1	X
alkej-9	6	2	.	.	X
alkej-9	6	3	introduction	introduction	NOUN
alkej-9	6	4	face	face	NOUN
alkej-9	6	5	recognition	recognition	NOUN
alkej-9	6	6	may	may	AUX
alkej-9	6	7	seem	seem	VERB
alkej-9	6	8	an	an	DET
alkej-9	6	9	easy	easy	ADJ
alkej-9	6	10	task	task	NOUN
alkej-9	6	11	for	for	ADP
alkej-9	6	12	humans	human	NOUN
alkej-9	6	13	,	,	PUNCT
alkej-9	6	14	and	and	CCONJ
alkej-9	6	15	yet	yet	ADV
alkej-9	6	16	computerized	computerized	ADJ
alkej-9	6	17	face	face	NOUN
alkej-9	6	18	recognition	recognition	NOUN
alkej-9	6	19	system	system	NOUN
alkej-9	6	20	still	still	ADV
alkej-9	6	21	can	can	AUX
alkej-9	6	22	not	not	PART
alkej-9	6	23	achieve	achieve	VERB
alkej-9	6	24	a	a	DET
alkej-9	6	25	completely	completely	ADV
alkej-9	6	26	reliable	reliable	ADJ
alkej-9	6	27	performance	performance	NOUN
alkej-9	6	28	.	.	PUNCT
alkej-9	7	1	the	the	DET
alkej-9	7	2	difficulties	difficulty	NOUN
alkej-9	7	3	arise	arise	VERB
alkej-9	7	4	due	due	ADP
alkej-9	7	5	to	to	ADP
alkej-9	7	6	large	large	ADJ
alkej-9	7	7	variation	variation	NOUN
alkej-9	7	8	in	in	ADP
alkej-9	7	9	facial	facial	ADJ
alkej-9	7	10	appearance	appearance	NOUN
alkej-9	7	11	,	,	PUNCT
alkej-9	7	12	head	head	NOUN
alkej-9	7	13	size	size	NOUN
alkej-9	7	14	,	,	PUNCT
alkej-9	7	15	orientation	orientation	NOUN
alkej-9	7	16	and	and	CCONJ
alkej-9	7	17	change	change	NOUN
alkej-9	7	18	in	in	ADP
alkej-9	7	19	the	the	DET
alkej-9	7	20	environment	environment	NOUN
alkej-9	7	21	conditions	condition	NOUN
alkej-9	7	22	.	.	PUNCT
alkej-9	8	1	such	such	ADJ
alkej-9	8	2	difficulties	difficulty	NOUN
alkej-9	8	3	make	make	VERB
alkej-9	8	4	face	face	NOUN
alkej-9	8	5	recognition	recognition	NOUN
alkej-9	8	6	on	on	ADP
alkej-9	8	7	of	of	ADP
alkej-9	8	8	the	the	DET
alkej-9	8	9	fundamental	fundamental	ADJ
alkej-9	8	10	problems	problem	NOUN
alkej-9	8	11	in	in	ADP
alkej-9	8	12	pattern	pattern	NOUN
alkej-9	8	13	analysis	analysis	NOUN
alkej-9	8	14	.	.	PUNCT
alkej-9	9	1	in	in	ADP
alkej-9	9	2	recent	recent	ADJ
alkej-9	9	3	years	year	NOUN
alkej-9	9	4	there	there	PRON
alkej-9	9	5	has	have	AUX
alkej-9	9	6	been	be	AUX
alkej-9	9	7	a	a	DET
alkej-9	9	8	growing	grow	VERB
alkej-9	9	9	interest	interest	NOUN
alkej-9	9	10	in	in	ADP
alkej-9	9	11	machine	machine	NOUN
alkej-9	9	12	recognition	recognition	NOUN
alkej-9	9	13	of	of	ADP
alkej-9	9	14	faces	face	NOUN
alkej-9	9	15	due	due	ADJ
alkej-9	9	16	to	to	ADP
alkej-9	9	17	potential	potential	ADJ
alkej-9	9	18	commercial	commercial	ADJ
alkej-9	9	19	applications	application	NOUN
alkej-9	9	20	such	such	ADJ
alkej-9	9	21	as	as	ADP
alkej-9	9	22	film	film	NOUN
alkej-9	9	23	processing	processing	NOUN
alkej-9	9	24	,	,	PUNCT
alkej-9	9	25	law	law	NOUN
alkej-9	9	26	enforcement	enforcement	NOUN
alkej-9	9	27	,	,	PUNCT
alkej-9	9	28	person	person	NOUN
alkej-9	9	29	identification	identification	NOUN
alkej-9	9	30	,	,	PUNCT
alkej-9	9	31	access	access	NOUN
alkej-9	9	32	control	control	NOUN
alkej-9	9	33	systems	system	NOUN
alkej-9	9	34	,	,	PUNCT
alkej-9	9	35	etc	etc	X
alkej-9	10	1	[	[	X
alkej-9	10	2	1	1	NUM
alkej-9	10	3	]	]	PUNCT
alkej-9	10	4	.	.	PUNCT
alkej-9	11	1	a	a	DET
alkej-9	11	2	complete	complete	ADJ
alkej-9	11	3	human	human	ADJ
alkej-9	11	4	face	face	NOUN
alkej-9	11	5	recognition	recognition	NOUN
alkej-9	11	6	system	system	NOUN
alkej-9	11	7	should	should	AUX
alkej-9	11	8	include	include	VERB
alkej-9	11	9	three	three	NUM
alkej-9	11	10	stages	stage	NOUN
alkej-9	11	11	.	.	PUNCT
alkej-9	12	1	the	the	DET
alkej-9	12	2	first	first	ADJ
alkej-9	12	3	stage	stage	NOUN
alkej-9	12	4	involves	involve	VERB
alkej-9	12	5	detecting	detect	VERB
alkej-9	12	6	the	the	DET
alkej-9	12	7	location	location	NOUN
alkej-9	12	8	of	of	ADP
alkej-9	12	9	face	face	NOUN
alkej-9	12	10	in	in	ADP
alkej-9	12	11	arbitrary	arbitrary	ADJ
alkej-9	12	12	images	image	NOUN
alkej-9	12	13	.	.	PUNCT
alkej-9	13	1	the	the	DET
alkej-9	13	2	second	second	ADJ
alkej-9	13	3	stage	stage	NOUN
alkej-9	13	4	requires	require	VERB
alkej-9	13	5	extraction	extraction	NOUN
alkej-9	13	6	of	of	ADP
alkej-9	13	7	pertinent	pertinent	ADJ
alkej-9	13	8	features	feature	NOUN
alkej-9	13	9	from	from	ADP
alkej-9	13	10	the	the	DET
alkej-9	13	11	localized	localize	VERB
alkej-9	13	12	image	image	NOUN
alkej-9	13	13	obtained	obtain	VERB
alkej-9	13	14	in	in	ADP
alkej-9	13	15	the	the	DET
alkej-9	13	16	first	first	ADJ
alkej-9	13	17	stage	stage	NOUN
alkej-9	13	18	.	.	PUNCT
alkej-9	14	1	finally	finally	ADV
alkej-9	14	2	,	,	PUNCT
alkej-9	14	3	the	the	DET
alkej-9	14	4	third	third	ADJ
alkej-9	14	5	stage	stage	NOUN
alkej-9	14	6	involves	involve	VERB
alkej-9	14	7	classification	classification	NOUN
alkej-9	14	8	of	of	ADP
alkej-9	14	9	facial	facial	ADJ
alkej-9	14	10	images	image	NOUN
alkej-9	14	11	based	base	VERB
alkej-9	14	12	on	on	ADP
alkej-9	14	13	the	the	DET
alkej-9	14	14	derived	derive	VERB
alkej-9	14	15	feature	feature	NOUN
alkej-9	14	16	vector	vector	NOUN
alkej-9	14	17	obtained	obtain	VERB
alkej-9	14	18	in	in	ADP
alkej-9	14	19	the	the	DET
alkej-9	14	20	previous	previous	ADJ
alkej-9	14	21	stage	stage	NOUN
alkej-9	14	22	.	.	PUNCT
alkej-9	15	1	in	in	ADP
alkej-9	15	2	order	order	NOUN
alkej-9	15	3	to	to	PART
alkej-9	15	4	design	design	VERB
alkej-9	15	5	a	a	DET
alkej-9	15	6	high	high	ADJ
alkej-9	15	7	accuracy	accuracy	NOUN
alkej-9	15	8	recognition	recognition	NOUN
alkej-9	15	9	system	system	NOUN
alkej-9	15	10	,	,	PUNCT
alkej-9	15	11	the	the	DET
alkej-9	15	12	choice	choice	NOUN
alkej-9	15	13	of	of	ADP
alkej-9	15	14	the	the	DET
alkej-9	15	15	feature	feature	NOUN
alkej-9	15	16	extractor	extractor	NOUN
alkej-9	15	17	is	be	AUX
alkej-9	15	18	very	very	ADV
alkej-9	15	19	crucial	crucial	ADJ
alkej-9	15	20	.	.	PUNCT
alkej-9	16	1	two	two	NUM
alkej-9	16	2	main	main	ADJ
alkej-9	16	3	approaches	approach	NOUN
alkej-9	16	4	to	to	PART
alkej-9	16	5	feature	feature	NOUN
alkej-9	16	6	extraction	extraction	NOUN
alkej-9	16	7	have	have	AUX
alkej-9	16	8	been	be	AUX
alkej-9	16	9	extensively	extensively	ADV
alkej-9	16	10	used	use	VERB
alkej-9	16	11	in	in	ADP
alkej-9	16	12	conventional	conventional	ADJ
alkej-9	16	13	techniques	technique	NOUN
alkej-9	16	14	.	.	PUNCT
alkej-9	17	1	the	the	DET
alkej-9	17	2	first	first	ADJ
alkej-9	17	3	one	one	NUM
alkej-9	17	4	is	be	AUX
alkej-9	17	5	based	base	VERB
alkej-9	17	6	on	on	ADP
alkej-9	17	7	extracting	extract	VERB
alkej-9	17	8	facial	facial	ADJ
alkej-9	17	9	features	feature	NOUN
alkej-9	17	10	that	that	PRON
alkej-9	17	11	are	be	AUX
alkej-9	17	12	local	local	ADJ
alkej-9	17	13	structure	structure	NOUN
alkej-9	17	14	of	of	ADP
alkej-9	17	15	the	the	DET
alkej-9	17	16	face	face	NOUN
alkej-9	17	17	images	image	NOUN
alkej-9	17	18	,	,	PUNCT
alkej-9	17	19	for	for	ADP
alkej-9	17	20	example	example	NOUN
alkej-9	17	21	,	,	PUNCT
alkej-9	17	22	the	the	DET
alkej-9	17	23	shapes	shape	NOUN
alkej-9	17	24	of	of	ADP
alkej-9	17	25	eyes	eye	NOUN
alkej-9	17	26	,	,	PUNCT
alkej-9	17	27	nose	nose	NOUN
alkej-9	17	28	and	and	CCONJ
alkej-9	17	29	mouth	mouth	NOUN
alkej-9	17	30	.	.	PUNCT
alkej-9	18	1	the	the	DET
alkej-9	18	2	structured	structure	VERB
alkej-9	18	3	based	base	VERB
alkej-9	18	4	approaches	approach	NOUN
alkej-9	18	5	deal	deal	VERB
alkej-9	18	6	with	with	ADP
alkej-9	18	7	local	local	ADJ
alkej-9	18	8	information	information	NOUN
alkej-9	18	9	instead	instead	ADV
alkej-9	18	10	of	of	ADP
alkej-9	18	11	global	global	ADJ
alkej-9	18	12	information	information	NOUN
alkej-9	18	13	.	.	PUNCT
alkej-9	19	1	therefore	therefore	ADV
alkej-9	19	2	,	,	PUNCT
alkej-9	19	3	they	they	PRON
alkej-9	19	4	are	be	AUX
alkej-9	19	5	not	not	PART
alkej-9	19	6	affected	affect	VERB
alkej-9	19	7	by	by	ADP
alkej-9	19	8	irrelevant	irrelevant	ADJ
alkej-9	19	9	information	information	NOUN
alkej-9	19	10	in	in	ADP
alkej-9	19	11	an	an	DET
alkej-9	19	12	image	image	NOUN
alkej-9	19	13	.	.	PUNCT
alkej-9	20	1	it	it	PRON
alkej-9	20	2	has	have	AUX
alkej-9	20	3	been	be	AUX
alkej-9	20	4	shown	show	VERB
alkej-9	20	5	that	that	SCONJ
alkej-9	20	6	the	the	DET
alkej-9	20	7	structured	structured	ADJ
alkej-9	20	8	based	base	VERB
alkej-9	20	9	approaches	approach	NOUN
alkej-9	20	10	by	by	ADP
alkej-9	20	11	explicit	explicit	ADJ
alkej-9	20	12	modeling	modeling	NOUN
alkej-9	20	13	of	of	ADP
alkej-9	20	14	facial	facial	ADJ
alkej-9	20	15	features	feature	NOUN
alkej-9	20	16	have	have	AUX
alkej-9	20	17	been	be	AUX
alkej-9	20	18	troubled	trouble	VERB
alkej-9	20	19	by	by	ADP
alkej-9	20	20	the	the	DET
alkej-9	20	21	unpredictability	unpredictability	NOUN
alkej-9	20	22	of	of	ADP
alkej-9	20	23	face	face	NOUN
alkej-9	20	24	appearance	appearance	NOUN
alkej-9	20	25	and	and	CCONJ
alkej-9	20	26	environmental	environmental	ADJ
alkej-9	20	27	conditions	condition	NOUN
alkej-9	20	28	.	.	PUNCT
alkej-9	21	1	the	the	DET
alkej-9	21	2	second	second	ADJ
alkej-9	21	3	one	one	NOUN
alkej-9	21	4	is	be	AUX
alkej-9	21	5	based	base	VERB
alkej-9	21	6	on	on	ADP
alkej-9	21	7	statistical	statistical	ADJ
alkej-9	21	8	approaches	approach	NOUN
alkej-9	21	9	when	when	SCONJ
alkej-9	21	10	features	feature	NOUN
alkej-9	21	11	are	be	AUX
alkej-9	21	12	extracted	extract	VERB
alkej-9	21	13	from	from	ADP
alkej-9	21	14	the	the	DET
alkej-9	21	15	whole	whole	ADJ
alkej-9	21	16	image	image	NOUN
alkej-9	21	17	and	and	CCONJ
alkej-9	21	18	therefore	therefore	ADV
alkej-9	21	19	use	use	VERB
alkej-9	21	20	global	global	ADJ
alkej-9	21	21	information	information	NOUN
alkej-9	21	22	instead	instead	ADV
alkej-9	21	23	of	of	ADP
alkej-9	21	24	local	local	ADJ
alkej-9	21	25	information	information	NOUN
alkej-9	21	26	.	.	PUNCT
alkej-9	22	1	since	since	SCONJ
alkej-9	22	2	the	the	DET
alkej-9	22	3	global	global	ADJ
alkej-9	22	4	data	datum	NOUN
alkej-9	22	5	of	of	ADP
alkej-9	22	6	an	an	DET
alkej-9	22	7	image	image	NOUN
alkej-9	22	8	are	be	AUX
alkej-9	22	9	used	use	VERB
alkej-9	22	10	to	to	PART
alkej-9	22	11	determine	determine	VERB
alkej-9	22	12	the	the	DET
alkej-9	22	13	feature	feature	NOUN
alkej-9	22	14	elements	element	NOUN
alkej-9	22	15	,	,	PUNCT
alkej-9	22	16	data	datum	NOUN
alkej-9	22	17	that	that	PRON
alkej-9	22	18	are	be	AUX
alkej-9	22	19	irrelevant	irrelevant	ADJ
alkej-9	22	20	to	to	ADP
alkej-9	22	21	facial	facial	ADJ
alkej-9	22	22	portion	portion	NOUN
alkej-9	22	23	such	such	ADJ
alkej-9	22	24	as	as	ADP
alkej-9	22	25	hair	hair	NOUN
alkej-9	22	26	,	,	PUNCT
alkej-9	22	27	shoulders	shoulder	NOUN
alkej-9	22	28	and	and	CCONJ
alkej-9	22	29	background	background	NOUN
alkej-9	22	30	may	may	AUX
alkej-9	22	31	contribute	contribute	VERB
alkej-9	22	32	to	to	ADP
alkej-9	22	33	creation	creation	NOUN
alkej-9	22	34	of	of	ADP
alkej-9	22	35	erroneous	erroneous	ADJ
alkej-9	22	36	feature	feature	NOUN
alkej-9	22	37	vectors	vector	NOUN
alkej-9	22	38	that	that	PRON
alkej-9	22	39	can	can	AUX
alkej-9	22	40	affect	affect	VERB
alkej-9	22	41	the	the	DET
alkej-9	22	42	recognition	recognition	NOUN
alkej-9	22	43	results	result	NOUN
alkej-9	22	44	.	.	PUNCT
alkej-9	23	1	dr	dr	PROPN
alkej-9	23	2	.	.	PROPN
alkej-9	23	3	tarik	tarik	PROPN
alkej-9	23	4	zeyad	zeyad	PROPN
alkej-9	23	5	/	/	SYM
alkej-9	23	6	al	al	PROPN
alkej-9	23	7	-	-	PUNCT
alkej-9	23	8	khwarizmi	khwarizmi	PROPN
alkej-9	23	9	engineering	engineering	NOUN
alkej-9	23	10	journal	journal	PROPN
alkej-9	23	11	,	,	PUNCT
alkej-9	23	12	vol.1	vol.1	PROPN
alkej-9	23	13	,	,	PUNCT
alkej-9	23	14	no	no	INTJ
alkej-9	23	15	.	.	PUNCT
alkej-9	24	1	2,pp	2,pp	NUM
alkej-9	24	2	14	14	NUM
alkej-9	24	3	-	-	SYM
alkej-9	24	4	21	21	NUM
alkej-9	24	5	(	(	PUNCT
alkej-9	24	6	2005	2005	NUM
alkej-9	24	7	)	)	PUNCT
alkej-9	24	8	15	15	NUM
alkej-9	24	9	2.neural	2.neural	NUM
alkej-9	24	10	network	network	NOUN
alkej-9	24	11	a	a	DET
alkej-9	24	12	neural	neural	ADJ
alkej-9	24	13	network	network	NOUN
alkej-9	24	14	is	be	AUX
alkej-9	24	15	a	a	DET
alkej-9	24	16	set	set	NOUN
alkej-9	24	17	of	of	ADP
alkej-9	24	18	processing	processing	NOUN
alkej-9	24	19	elements	element	NOUN
alkej-9	24	20	,	,	PUNCT
alkej-9	24	21	analogous	analogous	ADJ
alkej-9	24	22	to	to	ADP
alkej-9	24	23	neurons	neuron	NOUN
alkej-9	24	24	in	in	ADP
alkej-9	24	25	brain	brain	NOUN
alkej-9	24	26	,	,	PUNCT
alkej-9	24	27	connected	connect	VERB
alkej-9	24	28	in	in	ADP
alkej-9	24	29	a	a	DET
alkej-9	24	30	multilayer	multilayer	ADJ
alkej-9	24	31	fashion	fashion	NOUN
alkej-9	24	32	to	to	PART
alkej-9	24	33	perform	perform	VERB
alkej-9	24	34	processing	processing	NOUN
alkej-9	24	35	of	of	ADP
alkej-9	24	36	input	input	NOUN
alkej-9	24	37	data	datum	NOUN
alkej-9	24	38	vectors	vector	NOUN
alkej-9	24	39	.	.	PUNCT
alkej-9	25	1	they	they	PRON
alkej-9	25	2	were	be	AUX
alkej-9	25	3	originally	originally	ADV
alkej-9	25	4	described	describe	VERB
alkej-9	25	5	in	in	ADP
alkej-9	25	6	physiological	physiological	ADJ
alkej-9	25	7	research	research	NOUN
alkej-9	25	8	on	on	ADP
alkej-9	25	9	the	the	DET
alkej-9	25	10	brain	brain	NOUN
alkej-9	25	11	,	,	PUNCT
alkej-9	25	12	and	and	CCONJ
alkej-9	25	13	were	be	AUX
alkej-9	25	14	later	later	ADV
alkej-9	25	15	implemented	implement	VERB
alkej-9	25	16	to	to	PART
alkej-9	25	17	solve	solve	VERB
alkej-9	25	18	classification	classification	NOUN
alkej-9	25	19	problems	problem	NOUN
alkej-9	25	20	.	.	PUNCT
alkej-9	26	1	typically	typically	ADV
alkej-9	26	2	,	,	PUNCT
alkej-9	26	3	a	a	DET
alkej-9	26	4	neural	neural	ADJ
alkej-9	26	5	network	network	NOUN
alkej-9	26	6	consists	consist	VERB
alkej-9	26	7	of	of	ADP
alkej-9	26	8	neurons	neuron	NOUN
alkej-9	26	9	connected	connect	VERB
alkej-9	26	10	in	in	ADP
alkej-9	26	11	several	several	ADJ
alkej-9	26	12	layers	layer	NOUN
alkej-9	26	13	:	:	PUNCT
alkej-9	26	14	one	one	NUM
alkej-9	26	15	input	input	NOUN
alkej-9	26	16	layer	layer	NOUN
alkej-9	26	17	,	,	PUNCT
alkej-9	26	18	one	one	NUM
alkej-9	26	19	output	output	NOUN
alkej-9	26	20	layer	layer	NOUN
alkej-9	26	21	and	and	CCONJ
alkej-9	26	22	one	one	NUM
alkej-9	26	23	or	or	CCONJ
alkej-9	26	24	more	more	ADJ
alkej-9	26	25	“	"	PUNCT
alkej-9	26	26	hidden	hidden	ADJ
alkej-9	26	27	”	"	PUNCT
alkej-9	26	28	layers	layer	NOUN
alkej-9	26	29	.	.	PUNCT
alkej-9	27	1	at	at	ADP
alkej-9	27	2	each	each	DET
alkej-9	27	3	layer	layer	NOUN
alkej-9	27	4	,	,	PUNCT
alkej-9	27	5	the	the	DET
alkej-9	27	6	neuron	neuron	NOUN
alkej-9	27	7	forms	form	VERB
alkej-9	27	8	a	a	DET
alkej-9	27	9	weighted	weighted	ADJ
alkej-9	27	10	sum	sum	NOUN
alkej-9	27	11	of	of	ADP
alkej-9	27	12	all	all	PRON
alkej-9	27	13	of	of	ADP
alkej-9	27	14	the	the	DET
alkej-9	27	15	outputs	output	NOUN
alkej-9	27	16	of	of	ADP
alkej-9	27	17	the	the	DET
alkej-9	27	18	previous	previous	ADJ
alkej-9	27	19	layer	layer	NOUN
alkej-9	27	20	and	and	CCONJ
alkej-9	27	21	transforms	transform	VERB
alkej-9	27	22	the	the	DET
alkej-9	27	23	sum	sum	NOUN
alkej-9	27	24	through	through	ADP
alkej-9	27	25	a	a	DET
alkej-9	27	26	nonlinear	nonlinear	ADJ
alkej-9	27	27	function	function	NOUN
alkej-9	27	28	called	call	VERB
alkej-9	27	29	a	a	DET
alkej-9	27	30	“	"	PUNCT
alkej-9	27	31	squashing	squashing	NOUN
alkej-9	27	32	”	"	PUNCT
alkej-9	27	33	function	function	NOUN
alkej-9	27	34	(	(	PUNCT
alkej-9	27	35	often	often	ADV
alkej-9	27	36	a	a	DET
alkej-9	27	37	“	"	PUNCT
alkej-9	27	38	sigmoidal	sigmoidal	NOUN
alkej-9	27	39	”	"	PUNCT
alkej-9	27	40	function	function	NOUN
alkej-9	27	41	such	such	DET
alkej-9	27	42	a	a	DET
alkej-9	27	43	tanh	tanh	NOUN
alkej-9	27	44	{	{	PUNCT
alkej-9	27	45	}	}	PUNCT
alkej-9	27	46	)	)	PUNCT
alkej-9	27	47	since	since	SCONJ
alkej-9	27	48	it	it	PRON
alkej-9	27	49	tens	ten	VERB
alkej-9	27	50	to	to	PART
alkej-9	27	51	compress	compress	VERB
alkej-9	27	52	the	the	DET
alkej-9	27	53	output	output	NOUN
alkej-9	27	54	data	datum	NOUN
alkej-9	27	55	to	to	PART
alkej-9	27	56	avoid	avoid	VERB
alkej-9	27	57	truncation	truncation	NOUN
alkej-9	27	58	.	.	PUNCT
alkej-9	28	1	in	in	ADP
alkej-9	28	2	a	a	DET
alkej-9	28	3	classification	classification	NOUN
alkej-9	28	4	application	application	NOUN
alkej-9	28	5	,	,	PUNCT
alkej-9	28	6	the	the	DET
alkej-9	28	7	outputs	output	NOUN
alkej-9	28	8	of	of	ADP
alkej-9	28	9	the	the	DET
alkej-9	28	10	final	final	ADJ
alkej-9	28	11	layer	layer	NOUN
alkej-9	28	12	are	be	AUX
alkej-9	28	13	compared	compare	VERB
alkej-9	28	14	and	and	CCONJ
alkej-9	28	15	the	the	DET
alkej-9	28	16	class	class	NOUN
alkej-9	28	17	identified	identify	VERB
alkej-9	28	18	with	with	ADP
alkej-9	28	19	the	the	DET
alkej-9	28	20	largest	large	ADJ
alkej-9	28	21	output	output	NOUN
alkej-9	28	22	assigned	assign	VERB
alkej-9	28	23	[	[	X
alkej-9	28	24	1	1	NUM
alkej-9	28	25	]	]	PUNCT
alkej-9	28	26	.	.	PUNCT
alkej-9	29	1	the	the	DET
alkej-9	29	2	knowledge	knowledge	NOUN
alkej-9	29	3	in	in	ADP
alkej-9	29	4	the	the	DET
alkej-9	29	5	neural	neural	ADJ
alkej-9	29	6	net	net	NOUN
alkej-9	29	7	is	be	AUX
alkej-9	29	8	contained	contain	VERB
alkej-9	29	9	in	in	ADP
alkej-9	29	10	the	the	DET
alkej-9	29	11	weights	weight	NOUN
alkej-9	29	12	used	use	VERB
alkej-9	29	13	to	to	PART
alkej-9	29	14	create	create	VERB
alkej-9	29	15	the	the	DET
alkej-9	29	16	sums	sum	NOUN
alkej-9	29	17	at	at	ADP
alkej-9	29	18	the	the	DET
alkej-9	29	19	various	various	ADJ
alkej-9	29	20	neurons	neuron	NOUN
alkej-9	29	21	.	.	PUNCT
alkej-9	30	1	these	these	DET
alkej-9	30	2	weights	weight	NOUN
alkej-9	30	3	are	be	AUX
alkej-9	30	4	calculated	calculate	VERB
alkej-9	30	5	by	by	ADP
alkej-9	30	6	training	training	NOUN
alkej-9	30	7	process	process	NOUN
alkej-9	30	8	labeled	label	VERB
alkej-9	30	9	data	datum	NOUN
alkej-9	30	10	.	.	PUNCT
alkej-9	31	1	the	the	DET
alkej-9	31	2	most	most	ADV
alkej-9	31	3	common	common	ADJ
alkej-9	31	4	method	method	NOUN
alkej-9	31	5	is	be	AUX
alkej-9	31	6	“	"	PUNCT
alkej-9	31	7	backpropagation	backpropagation	NOUN
alkej-9	31	8	”	"	PUNCT
alkej-9	31	9	in	in	ADP
alkej-9	31	10	which	which	PRON
alkej-9	31	11	the	the	DET
alkej-9	31	12	weights	weight	NOUN
alkej-9	31	13	are	be	AUX
alkej-9	31	14	iteratively	iteratively	ADV
alkej-9	31	15	adjusted	adjust	VERB
alkej-9	31	16	based	base	VERB
alkej-9	31	17	on	on	ADP
alkej-9	31	18	their	their	PRON
alkej-9	31	19	contribution	contribution	NOUN
alkej-9	31	20	to	to	ADP
alkej-9	31	21	the	the	DET
alkej-9	31	22	output	output	NOUN
alkej-9	31	23	vector	vector	NOUN
alkej-9	31	24	(	(	PUNCT
alkej-9	31	25	computed	compute	VERB
alkej-9	31	26	using	use	VERB
alkej-9	31	27	its	its	PRON
alkej-9	31	28	partial	partial	ADJ
alkej-9	31	29	derivatives	derivative	NOUN
alkej-9	31	30	)	)	PUNCT
alkej-9	31	31	until	until	SCONJ
alkej-9	31	32	all	all	DET
alkej-9	31	33	input	input	NOUN
alkej-9	31	34	vectors	vector	NOUN
alkej-9	31	35	produce	produce	VERB
alkej-9	31	36	the	the	DET
alkej-9	31	37	desired	desire	VERB
alkej-9	31	38	outputs	output	NOUN
alkej-9	31	39	.	.	PUNCT
alkej-9	32	1	3.introduction	3.introduction	NUM
alkej-9	32	2	to	to	ADP
alkej-9	32	3	wavelet	wavelet	NOUN
alkej-9	32	4	transforms	transform	NOUN
alkej-9	32	5	transforms	transform	VERB
alkej-9	32	6	are	be	AUX
alkej-9	32	7	mathematical	mathematical	ADJ
alkej-9	32	8	analysis	analysis	NOUN
alkej-9	32	9	in	in	ADP
alkej-9	32	10	different	different	ADJ
alkej-9	32	11	spaces	space	NOUN
alkej-9	32	12	.	.	PUNCT
alkej-9	33	1	these	these	PRON
alkej-9	33	2	transforms	transform	VERB
alkej-9	33	3	can	can	AUX
alkej-9	33	4	be	be	AUX
alkej-9	33	5	applied	apply	VERB
alkej-9	33	6	to	to	ADP
alkej-9	33	7	signals	signal	NOUN
alkej-9	33	8	or	or	CCONJ
alkej-9	33	9	images	image	NOUN
alkej-9	33	10	to	to	PART
alkej-9	33	11	get	get	VERB
alkej-9	33	12	another	another	DET
alkej-9	33	13	aspect	aspect	NOUN
alkej-9	33	14	of	of	ADP
alkej-9	33	15	information	information	NOUN
alkej-9	33	16	in	in	ADP
alkej-9	33	17	the	the	DET
alkej-9	33	18	different	different	ADJ
alkej-9	33	19	domain	domain	NOUN
alkej-9	33	20	.	.	PUNCT
alkej-9	34	1	there	there	PRON
alkej-9	34	2	are	be	VERB
alkej-9	34	3	many	many	ADJ
alkej-9	34	4	kinds	kind	NOUN
alkej-9	34	5	of	of	ADP
alkej-9	34	6	transformation	transformation	NOUN
alkej-9	34	7	methods	method	NOUN
alkej-9	34	8	such	such	ADJ
alkej-9	34	9	as	as	ADP
alkej-9	34	10	fourier	fourier	NOUN
alkej-9	34	11	transform	transform	NOUN
alkej-9	34	12	,	,	PUNCT
alkej-9	34	13	laplace	laplace	NOUN
alkej-9	34	14	,	,	PUNCT
alkej-9	34	15	hough	hough	PROPN
alkej-9	34	16	,	,	PUNCT
alkej-9	34	17	z	z	PROPN
alkej-9	34	18	,	,	PUNCT
alkej-9	34	19	hilbert	hilbert	PROPN
alkej-9	34	20	,	,	PUNCT
alkej-9	34	21	..	..	PUNCT
alkej-9	34	22	etc	etc	X
alkej-9	34	23	.	.	X
alkej-9	34	24	wavelet	wavelet	NOUN
alkej-9	34	25	transform	transform	NOUN
alkej-9	34	26	is	be	AUX
alkej-9	34	27	a	a	DET
alkej-9	34	28	mathematical	mathematical	ADJ
alkej-9	34	29	function	function	NOUN
alkej-9	34	30	that	that	PRON
alkej-9	34	31	decomposes	decompose	VERB
alkej-9	34	32	in	in	ADP
alkej-9	34	33	terms	term	NOUN
alkej-9	34	34	of	of	ADP
alkej-9	34	35	time	time	NOUN
alkej-9	34	36	domain	domain	NOUN
alkej-9	34	37	.	.	PUNCT
alkej-9	35	1	we	we	PRON
alkej-9	35	2	can	can	AUX
alkej-9	35	3	analyze	analyze	VERB
alkej-9	35	4	each	each	DET
alkej-9	35	5	component	component	NOUN
alkej-9	35	6	with	with	ADP
alkej-9	35	7	a	a	DET
alkej-9	35	8	resolution	resolution	NOUN
alkej-9	35	9	method	method	NOUN
alkej-9	35	10	to	to	ADP
alkej-9	35	11	its	its	PRON
alkej-9	35	12	scale	scale	NOUN
alkej-9	35	13	.	.	PUNCT
alkej-9	36	1	why	why	SCONJ
alkej-9	36	2	wavelet	wavelet	NOUN
alkej-9	36	3	transform	transform	VERB
alkej-9	36	4	fourier	fourier	NOUN
alkej-9	36	5	transform	transform	NOUN
alkej-9	36	6	can	can	AUX
alkej-9	36	7	change	change	VERB
alkej-9	36	8	data	datum	NOUN
alkej-9	36	9	from	from	ADP
alkej-9	36	10	time	time	NOUN
alkej-9	36	11	domain	domain	NOUN
alkej-9	36	12	to	to	ADP
alkej-9	36	13	frequency	frequency	NOUN
alkej-9	36	14	domain	domain	NOUN
alkej-9	36	15	.	.	PUNCT
alkej-9	37	1	mathematical	mathematical	ADJ
alkej-9	37	2	expressions	expression	NOUN
alkej-9	37	3	for	for	ADP
alkej-9	37	4	continuous	continuous	ADJ
alkej-9	37	5	and	and	CCONJ
alkej-9	37	6	discrete	discrete	ADJ
alkej-9	37	7	fourier	fourier	NOUN
alkej-9	37	8	transforms	transform	NOUN
alkej-9	37	9	are	be	AUX
alkej-9	37	10	described	describe	VERB
alkej-9	37	11	as	as	SCONJ
alkej-9	37	12	follows	follow	VERB
alkej-9	37	13	:	:	PUNCT
alkej-9	38	1	o	o	X
alkej-9	38	2	/	/	SYM
alkej-9	38	3	p1	p1	PROPN
alkej-9	38	4	o	o	NOUN
alkej-9	38	5	/	/	SYM
alkej-9	38	6	p2	p2	PROPN
alkej-9	38	7	o	o	NOUN
alkej-9	38	8	/	/	SYM
alkej-9	38	9	p3	p3	ADJ
alkej-9	38	10	output	output	NOUN
alkej-9	38	11	layer	layer	NOUN
alkej-9	38	12	hidden	hide	VERB
alkej-9	38	13	layer	layer	NOUN
alkej-9	38	14	input	input	NOUN
alkej-9	38	15	layer	layer	NOUN
alkej-9	38	16	two	two	NUM
alkej-9	38	17	layer	layer	NOUN
alkej-9	38	18	network	network	NOUN
alkej-9	38	19	o	o	PROPN
alkej-9	38	20	/	/	SYM
alkej-9	38	21	p	p	NOUN
alkej-9	38	22	output	output	NOUN
alkej-9	38	23	layer	layer	NOUN
alkej-9	38	24	hidden	hide	VERB
alkej-9	38	25	layer	layer	NOUN
alkej-9	38	26	2	2	NUM
alkej-9	38	27	hidden	hide	VERB
alkej-9	38	28	layer	layer	NOUN
alkej-9	38	29	1	1	NUM
alkej-9	38	30	input	input	NOUN
alkej-9	38	31	layer	layer	NOUN
alkej-9	38	32	three	three	NUM
alkej-9	38	33	layer	layer	NOUN
alkej-9	38	34	network	network	NOUN
alkej-9	38	35	figure	figure	NOUN
alkej-9	38	36	(	(	PUNCT
alkej-9	38	37	1	1	NUM
alkej-9	38	38	):	):	PUNCT
alkej-9	38	39	neural	neural	ADJ
alkej-9	38	40	network	network	NOUN
alkej-9	38	41	with	with	ADP
alkej-9	38	42	one	one	NUM
alkej-9	38	43	and	and	CCONJ
alkej-9	38	44	two	two	NUM
alkej-9	38	45	hidden	hide	VERB
alkej-9	38	46	network	network	NOUN
alkej-9	38	47	.	.	PUNCT
alkej-9	39	1	dr	dr	PROPN
alkej-9	39	2	.	.	PROPN
alkej-9	39	3	tarik	tarik	PROPN
alkej-9	39	4	zeyad	zeyad	PROPN
alkej-9	39	5	/	/	SYM
alkej-9	39	6	al	al	PROPN
alkej-9	39	7	-	-	PUNCT
alkej-9	39	8	khwarizmi	khwarizmi	PROPN
alkej-9	39	9	engineering	engineering	NOUN
alkej-9	39	10	journal	journal	PROPN
alkej-9	39	11	,	,	PUNCT
alkej-9	39	12	vol.1	vol.1	PROPN
alkej-9	39	13	,	,	PUNCT
alkej-9	39	14	no	no	INTJ
alkej-9	39	15	.	.	PUNCT
alkej-9	40	1	2,pp	2,pp	NUM
alkej-9	40	2	14	14	NUM
alkej-9	40	3	-	-	SYM
alkej-9	40	4	21	21	NUM
alkej-9	40	5	(	(	PUNCT
alkej-9	40	6	2005	2005	NUM
alkej-9	40	7	)	)	PUNCT
alkej-9	40	8	16	16	NUM
alkej-9	41	1	∫=	∫=	PROPN
alkej-9	41	2	r	r	NOUN
alkej-9	41	3	-jωj	-jωj	PUNCT
alkej-9	41	4	dtf(t)e)f(ω	dtf(t)e)f(ω	NOUN
alkej-9	41	5	(	(	PUNCT
alkej-9	41	6	1	1	NUM
alkej-9	41	7	-	-	SYM
alkej-9	41	8	d	d	NOUN
alkej-9	41	9	continuous	continuous	ADJ
alkej-9	41	10	ft	ft	NOUN
alkej-9	41	11	)	)	PUNCT
alkej-9	41	12	dxdye)y	dxdye)y	NOUN
alkej-9	41	13	,	,	PUNCT
alkej-9	41	14	x(f	x(f	PROPN
alkej-9	41	15	f(u	f(u	PROPN
alkej-9	41	16	,	,	PUNCT
alkej-9	41	17	v	v	NOUN
alkej-9	41	18	)	)	PUNCT
alkej-9	41	19	vy)j(ux	vy)j(ux	NOUN
alkej-9	41	20	r	r	NOUN
alkej-9	41	21	+	+	PROPN
alkej-9	41	22	−∫∫=	−∫∫=	X
alkej-9	41	23	2	2	NUM
alkej-9	41	24	(	(	PUNCT
alkej-9	41	25	2	2	NUM
alkej-9	41	26	-	-	SYM
alkej-9	41	27	d	d	NOUN
alkej-9	41	28	continuous	continuous	ADJ
alkej-9	41	29	ft	ft	NOUN
alkej-9	41	30	)	)	PUNCT
alkej-9	41	31	∑	∑	NOUN
alkej-9	41	32	∈	∈	PROPN
alkej-9	41	33	ω−=ω	ω−=ω	X
alkej-9	41	34	zn	zn	X
alkej-9	41	35	nje)n(f)(f	nje)n(f)(f	PROPN
alkej-9	41	36	(	(	PUNCT
alkej-9	41	37	1	1	NUM
alkej-9	41	38	-	-	SYM
alkej-9	41	39	d	d	NOUN
alkej-9	41	40	discrete	discrete	NOUN
alkej-9	41	41	ft	ft	NOUN
alkej-9	41	42	)	)	PUNCT
alkej-9	41	43	∑	∑	ADP
alkej-9	41	44	∑	∑	PUNCT
alkej-9	41	45	∈	∈	PROPN
alkej-9	41	46	∈	∈	PROPN
alkej-9	42	1	+	+	PROPN
alkej-9	42	2	ω−=	ω−=	PROPN
alkej-9	42	3	zn	zn	PROPN
alkej-9	42	4	zm	zm	PROPN
alkej-9	42	5	)	)	PUNCT
alkej-9	42	6	mn(je)m	mn(je)m	NOUN
alkej-9	42	7	,	,	PUNCT
alkej-9	42	8	n(f)v	n(f)v	PROPN
alkej-9	42	9	,	,	PUNCT
alkej-9	42	10	u(f	u(f	PROPN
alkej-9	42	11	(	(	PUNCT
alkej-9	42	12	2	2	NUM
alkej-9	42	13	-	-	SYM
alkej-9	42	14	d	d	NOUN
alkej-9	42	15	discrete	discrete	NOUN
alkej-9	42	16	ft	ft	NOUN
alkej-9	42	17	)	)	PUNCT
alkej-9	42	18	according	accord	VERB
alkej-9	42	19	to	to	ADP
alkej-9	42	20	the	the	DET
alkej-9	42	21	above	above	ADJ
alkej-9	42	22	equations	equation	NOUN
alkej-9	42	23	,	,	PUNCT
alkej-9	42	24	one	one	PRON
alkej-9	42	25	can	can	AUX
alkej-9	42	26	only	only	ADV
alkej-9	42	27	analyze	analyze	VERB
alkej-9	42	28	either	either	DET
alkej-9	42	29	time	time	NOUN
alkej-9	42	30	domain	domain	NOUN
alkej-9	42	31	data	datum	NOUN
alkej-9	42	32	or	or	CCONJ
alkej-9	42	33	frequency	frequency	NOUN
alkej-9	42	34	data	datum	NOUN
alkej-9	42	35	at	at	ADP
alkej-9	42	36	a	a	DET
alkej-9	42	37	time	time	NOUN
alkej-9	42	38	when	when	SCONJ
alkej-9	42	39	using	use	VERB
alkej-9	42	40	fourier	fourier	NOUN
alkej-9	42	41	transform	transform	NOUN
alkej-9	42	42	.	.	PUNCT
alkej-9	43	1	however	however	ADV
alkej-9	43	2	sometimes	sometimes	ADV
alkej-9	43	3	one	one	NUM
alkej-9	43	4	needs	need	VERB
alkej-9	43	5	to	to	PART
alkej-9	43	6	analyze	analyze	VERB
alkej-9	43	7	time	time	NOUN
alkej-9	43	8	and	and	CCONJ
alkej-9	43	9	frequency	frequency	NOUN
alkej-9	43	10	domain	domain	NOUN
alkej-9	43	11	at	at	ADP
alkej-9	43	12	the	the	DET
alkej-9	43	13	same	same	ADJ
alkej-9	43	14	time	time	NOUN
alkej-9	43	15	for	for	ADP
alkej-9	43	16	non	non	ADJ
alkej-9	43	17	-	-	ADJ
alkej-9	43	18	stationary	stationary	ADJ
alkej-9	43	19	data	datum	NOUN
alkej-9	43	20	(	(	PUNCT
alkej-9	43	21	most	most	ADJ
alkej-9	43	22	of	of	ADP
alkej-9	43	23	natural	natural	ADJ
alkej-9	43	24	images	image	NOUN
alkej-9	43	25	and	and	CCONJ
alkej-9	43	26	signals	signal	NOUN
alkej-9	43	27	)	)	PUNCT
alkej-9	43	28	.	.	PUNCT
alkej-9	44	1	for	for	ADP
alkej-9	44	2	example	example	NOUN
alkej-9	44	3	,	,	PUNCT
alkej-9	44	4	the	the	DET
alkej-9	44	5	abrupt	abrupt	ADJ
alkej-9	44	6	change	change	NOUN
alkej-9	44	7	in	in	ADP
alkej-9	44	8	the	the	DET
alkej-9	44	9	ecg	ecg	PROPN
alkej-9	44	10	frequency	frequency	NOUN
alkej-9	44	11	signal	signal	NOUN
alkej-9	44	12	,	,	PUNCT
alkej-9	44	13	which	which	PRON
alkej-9	44	14	can	can	AUX
alkej-9	44	15	not	not	PART
alkej-9	44	16	be	be	AUX
alkej-9	44	17	,	,	PUNCT
alkej-9	44	18	analyzed	analyze	VERB
alkej-9	44	19	adequately	adequately	ADV
alkej-9	44	20	by	by	ADP
alkej-9	44	21	the	the	DET
alkej-9	44	22	fourier	fourier	NOUN
alkej-9	44	23	transform	transform	NOUN
alkej-9	44	24	.	.	PUNCT
alkej-9	45	1	as	as	ADP
alkej-9	45	2	a	a	DET
alkej-9	45	3	result	result	NOUN
alkej-9	45	4	,	,	PUNCT
alkej-9	45	5	another	another	DET
alkej-9	45	6	approach	approach	NOUN
alkej-9	45	7	to	to	PART
alkej-9	45	8	complement	complement	VERB
alkej-9	45	9	the	the	DET
alkej-9	45	10	original	original	ADJ
alkej-9	45	11	fourier	fourier	NOUN
alkej-9	45	12	transform	transform	NOUN
alkej-9	45	13	was	be	AUX
alkej-9	45	14	suggested	suggest	VERB
alkej-9	45	15	,	,	PUNCT
alkej-9	45	16	called	call	VERB
alkej-9	45	17	the	the	DET
alkej-9	45	18	short	short	ADJ
alkej-9	45	19	time	time	NOUN
alkej-9	45	20	fourier	fourier	NOUN
alkej-9	45	21	transform	transform	NOUN
alkej-9	45	22	(	(	PUNCT
alkej-9	45	23	stft	stft	PROPN
alkej-9	45	24	)	)	PUNCT
alkej-9	45	25	or	or	CCONJ
alkej-9	45	26	windowed	windowe	VERB
alkej-9	45	27	fourier	fourier	NOUN
alkej-9	45	28	transform	transform	NOUN
alkej-9	45	29	(	(	PUNCT
alkej-9	45	30	wft	wft	PROPN
alkej-9	45	31	)	)	PUNCT
alkej-9	45	32	.	.	PUNCT
alkej-9	46	1	for	for	ADP
alkej-9	46	2	one	one	NUM
alkej-9	46	3	-	-	PUNCT
alkej-9	46	4	dimensional	dimensional	ADJ
alkej-9	46	5	continuous	continuous	ADJ
alkej-9	46	6	transform	transform	NOUN
alkej-9	46	7	,	,	PUNCT
alkej-9	46	8	the	the	DET
alkej-9	46	9	following	follow	VERB
alkej-9	46	10	is	be	AUX
alkej-9	46	11	the	the	DET
alkej-9	46	12	stft	stft	PROPN
alkej-9	46	13	mathematical	mathematical	ADJ
alkej-9	46	14	expression	expression	NOUN
alkej-9	46	15	.	.	PUNCT
alkej-9	47	1	it	it	PRON
alkej-9	47	2	can	can	AUX
alkej-9	47	3	be	be	AUX
alkej-9	47	4	seen	see	VERB
alkej-9	47	5	from	from	ADP
alkej-9	47	6	the	the	DET
alkej-9	47	7	above	above	ADJ
alkej-9	47	8	equation	equation	NOUN
alkej-9	47	9	that	that	SCONJ
alkej-9	47	10	it	it	PRON
alkej-9	47	11	is	be	AUX
alkej-9	47	12	a	a	DET
alkej-9	47	13	windowed	windowed	ADJ
alkej-9	47	14	function	function	NOUN
alkej-9	47	15	(	(	PUNCT
alkej-9	47	16	transform	transform	NOUN
alkej-9	47	17	)	)	PUNCT
alkej-9	47	18	.	.	PUNCT
alkej-9	48	1	however	however	ADV
alkej-9	48	2	,	,	PUNCT
alkej-9	48	3	one	one	PRON
alkej-9	48	4	does	do	AUX
alkej-9	48	5	not	not	PART
alkej-9	48	6	know	know	VERB
alkej-9	48	7	the	the	DET
alkej-9	48	8	exact	exact	ADJ
alkej-9	48	9	time	time	NOUN
alkej-9	48	10	information	information	NOUN
alkej-9	48	11	.	.	PUNCT
alkej-9	49	1	he	he	PRON
alkej-9	49	2	can	can	AUX
alkej-9	49	3	only	only	ADV
alkej-9	49	4	know	know	VERB
alkej-9	49	5	the	the	DET
alkej-9	49	6	time	time	NOUN
alkej-9	49	7	interval	interval	NOUN
alkej-9	49	8	.	.	PUNCT
alkej-9	50	1	so	so	ADV
alkej-9	50	2	,	,	PUNCT
alkej-9	50	3	the	the	DET
alkej-9	50	4	wider	wide	ADJ
alkej-9	50	5	window	window	NOUN
alkej-9	50	6	produces	produce	VERB
alkej-9	50	7	poorer	poor	ADJ
alkej-9	50	8	frequency	frequency	NOUN
alkej-9	50	9	and	and	CCONJ
alkej-9	50	10	better	well	ADJ
alkej-9	50	11	time	time	NOUN
alkej-9	50	12	information	information	NOUN
alkej-9	50	13	.	.	PUNCT
alkej-9	51	1	on	on	ADP
alkej-9	51	2	the	the	DET
alkej-9	51	3	other	other	ADJ
alkej-9	51	4	hand	hand	NOUN
alkej-9	51	5	,	,	PUNCT
alkej-9	51	6	the	the	DET
alkej-9	51	7	narrower	narrow	ADJ
alkej-9	51	8	windows	window	NOUN
alkej-9	51	9	offer	offer	VERB
alkej-9	51	10	better	well	ADJ
alkej-9	51	11	frequency	frequency	NOUN
alkej-9	51	12	and	and	CCONJ
alkej-9	51	13	poorer	poor	ADJ
alkej-9	51	14	time	time	NOUN
alkej-9	51	15	resolution	resolution	NOUN
alkej-9	51	16	.	.	PUNCT
alkej-9	52	1	to	to	PART
alkej-9	52	2	solve	solve	VERB
alkej-9	52	3	this	this	DET
alkej-9	52	4	problem	problem	NOUN
alkej-9	52	5	one	one	PRON
alkej-9	52	6	can	can	AUX
alkej-9	52	7	use	use	VERB
alkej-9	52	8	the	the	DET
alkej-9	52	9	wavelet	wavelet	NOUN
alkej-9	52	10	transform	transform	NOUN
alkej-9	52	11	.	.	PUNCT
alkej-9	53	1	wavelet	wavelet	NOUN
alkej-9	53	2	self	self	NOUN
alkej-9	53	3	organizing	organizing	NOUN
alkej-9	53	4	maps	map	NOUN
alkej-9	53	5	self	self	NOUN
alkej-9	53	6	-	-	PUNCT
alkej-9	53	7	organizing	organize	VERB
alkej-9	53	8	maps	map	NOUN
alkej-9	53	9	are	be	AUX
alkej-9	53	10	a	a	DET
alkej-9	53	11	form	form	NOUN
alkej-9	53	12	of	of	ADP
alkej-9	53	13	unsupervised	unsupervised	ADJ
alkej-9	53	14	learning	learning	NOUN
alkej-9	53	15	.	.	PUNCT
alkej-9	54	1	they	they	PRON
alkej-9	54	2	are	be	AUX
alkej-9	54	3	modeled	model	VERB
alkej-9	54	4	on	on	ADP
alkej-9	54	5	the	the	DET
alkej-9	54	6	fact	fact	NOUN
alkej-9	54	7	that	that	SCONJ
alkej-9	54	8	similar	similar	ADJ
alkej-9	54	9	data	datum	NOUN
alkej-9	54	10	is	be	AUX
alkej-9	54	11	spatially	spatially	ADV
alkej-9	54	12	organized	organize	VERB
alkej-9	54	13	in	in	ADP
alkej-9	54	14	brain	brain	NOUN
alkej-9	54	15	.	.	PUNCT
alkej-9	55	1	in	in	ADP
alkej-9	55	2	som	som	NOUN
alkej-9	55	3	n	n	CCONJ
alkej-9	55	4	-	-	PUNCT
alkej-9	55	5	dimensional	dimensional	ADJ
alkej-9	55	6	,	,	PUNCT
alkej-9	55	7	pattern	pattern	NOUN
alkej-9	55	8	space	space	NOUN
alkej-9	55	9	is	be	AUX
alkej-9	55	10	mapped	map	VERB
alkej-9	55	11	on	on	ADP
alkej-9	55	12	to	to	ADP
alkej-9	55	13	a	a	DET
alkej-9	55	14	single	single	ADJ
alkej-9	55	15	or	or	CCONJ
alkej-9	55	16	twodimensional	twodimensional	ADJ
alkej-9	55	17	output	output	NOUN
alkej-9	55	18	space	space	NOUN
alkej-9	55	19	.	.	PUNCT
alkej-9	56	1	it	it	PRON
alkej-9	56	2	can	can	AUX
alkej-9	56	3	also	also	ADV
alkej-9	56	4	be	be	AUX
alkej-9	56	5	viewed	view	VERB
alkej-9	56	6	as	as	ADP
alkej-9	56	7	a	a	DET
alkej-9	56	8	nonlinear	nonlinear	ADJ
alkej-9	56	9	projection	projection	NOUN
alkej-9	56	10	of	of	ADP
alkej-9	56	11	the	the	DET
alkej-9	56	12	multi	multi	ADJ
alkej-9	56	13	-	-	ADJ
alkej-9	56	14	dimensional	dimensional	ADJ
alkej-9	56	15	input	input	NOUN
alkej-9	56	16	space	space	NOUN
alkej-9	56	17	onto	onto	ADP
alkej-9	56	18	a	a	DET
alkej-9	56	19	twodimensional	twodimensional	ADJ
alkej-9	56	20	output	output	NOUN
alkej-9	56	21	space	space	NOUN
alkej-9	56	22	.	.	PUNCT
alkej-9	57	1	wavelet	wavelet	NOUN
alkej-9	57	2	self	self	NOUN
alkej-9	57	3	-	-	PUNCT
alkej-9	57	4	organizing	organize	VERB
alkej-9	57	5	maps	map	NOUN
alkej-9	57	6	are	be	AUX
alkej-9	57	7	feed	feed	VERB
alkej-9	57	8	forward	forward	ADV
alkej-9	57	9	networks	network	NOUN
alkej-9	57	10	having	have	VERB
alkej-9	57	11	four	four	NUM
alkej-9	57	12	layers	layer	NOUN
alkej-9	57	13	as	as	SCONJ
alkej-9	57	14	shown	show	VERB
alkej-9	57	15	in	in	ADP
alkej-9	57	16	figure	figure	NOUN
alkej-9	57	17	(	(	PUNCT
alkej-9	57	18	2	2	NUM
alkej-9	57	19	)	)	PUNCT
alkej-9	57	20	.	.	PUNCT
alkej-9	58	1	the	the	DET
alkej-9	58	2	first	first	ADJ
alkej-9	58	3	layer	layer	NOUN
alkej-9	58	4	is	be	AUX
alkej-9	58	5	the	the	DET
alkej-9	58	6	input	input	NOUN
alkej-9	58	7	layer	layer	NOUN
alkej-9	58	8	.	.	PUNCT
alkej-9	59	1	the	the	DET
alkej-9	59	2	second	second	ADJ
alkej-9	59	3	layer	layer	NOUN
alkej-9	59	4	is	be	AUX
alkej-9	59	5	the	the	DET
alkej-9	59	6	som	som	NOUN
alkej-9	59	7	competitive	competitive	ADJ
alkej-9	59	8	learning	learning	NOUN
alkej-9	59	9	algorithm	algorithm	NOUN
alkej-9	60	1	[	[	X
alkej-9	60	2	1	1	NUM
alkej-9	60	3	]	]	PUNCT
alkej-9	60	4	,	,	PUNCT
alkej-9	60	5	which	which	PRON
alkej-9	60	6	quantizes	quantize	VERB
alkej-9	60	7	and	and	CCONJ
alkej-9	60	8	maps	map	VERB
alkej-9	60	9	the	the	DET
alkej-9	60	10	input	input	NOUN
alkej-9	61	1	a	a	PRON
alkej-9	61	2	to	to	ADP
alkej-9	61	3	an	an	DET
alkej-9	61	4	n	n	CCONJ
alkej-9	61	5	-	-	PUNCT
alkej-9	61	6	node	node	ADJ
alkej-9	61	7	grid	grid	NOUN
alkej-9	61	8	.	.	PUNCT
alkej-9	62	1	the	the	DET
alkej-9	62	2	som	som	PROPN
alkej-9	62	3	layers	layer	NOUN
alkej-9	62	4	maps	map	VERB
alkej-9	62	5	on	on	ADP
alkej-9	62	6	to	to	ADP
alkej-9	62	7	the	the	DET
alkej-9	62	8	wavelet	wavelet	NOUN
alkej-9	62	9	layer	layer	NOUN
alkej-9	62	10	through	through	ADP
alkej-9	62	11	an	an	DET
alkej-9	62	12	n×n	n×n	PROPN
alkej-9	62	13	matrix	matrix	NOUN
alkej-9	62	14	d.	d.	NOUN
alkej-9	62	15	every	every	DET
alkej-9	62	16	node	node	NOUN
alkej-9	62	17	in	in	ADP
alkej-9	62	18	the	the	DET
alkej-9	62	19	wavelet	wavelet	NOUN
alkej-9	62	20	layer	layer	NOUN
alkej-9	62	21	has	have	VERB
alkej-9	62	22	a	a	DET
alkej-9	62	23	discrete	discrete	ADJ
alkej-9	62	24	wavelet	wavelet	NOUN
alkej-9	62	25	function	function	NOUN
alkej-9	62	26	associated	associate	VERB
alkej-9	62	27	with	with	ADP
alkej-9	62	28	it	it	PRON
alkej-9	62	29	.	.	PUNCT
alkej-9	63	1	each	each	PRON
alkej-9	63	2	of	of	ADP
alkej-9	63	3	b1	b1	PROPN
alkej-9	63	4	…	…	PUNCT
alkej-9	63	5	…	…	SYM
alkej-9	63	6	…	…	PUNCT
alkej-9	63	7	...	...	PUNCT
alkej-9	63	8	bi	bi	NOUN
alkej-9	63	9	…	…	X
alkej-9	63	10	…	…	PUNCT
alkej-9	63	11	…	…	PUNCT
alkej-9	63	12	..	..	PUNCT
alkej-9	63	13	bm	bm	PROPN
alkej-9	63	14	o1…………oi……….om	o1…………oi……….om	PROPN
alkej-9	63	15	y1	y1	PROPN
alkej-9	63	16	…	…	PUNCT
alkej-9	63	17	…	…	SYM
alkej-9	63	18	…	…	SYM
alkej-9	63	19	…	…	SYM
alkej-9	63	20	yi	yi	NOUN
alkej-9	63	21	…	…	SYM
alkej-9	63	22	…	…	PUNCT
alkej-9	63	23	…	…	PUNCT
alkej-9	63	24	..	..	PUNCT
alkej-9	63	25	ym	ym	PROPN
alkej-9	63	26	a1	a1	PROPN
alkej-9	63	27	…	…	SYM
alkej-9	63	28	…	…	PUNCT
alkej-9	63	29	…	…	PUNCT
alkej-9	63	30	…	…	PUNCT
alkej-9	63	31	.ai	.ai	NUM
alkej-9	63	32	…	…	SYM
alkej-9	63	33	…	…	PUNCT
alkej-9	63	34	…	…	PUNCT
alkej-9	63	35	..	..	PUNCT
alkej-9	63	36	am	be	AUX
alkej-9	63	37	output	output	NOUN
alkej-9	63	38	wavelet	wavelet	NOUN
alkej-9	63	39	som	som	PROPN
alkej-9	63	40	input	input	NOUN
alkej-9	63	41	figure	figure	NOUN
alkej-9	63	42	(	(	PUNCT
alkej-9	63	43	2	2	NUM
alkej-9	63	44	)	)	PUNCT
alkej-9	63	45	the	the	DET
alkej-9	63	46	wsom	wsom	NOUN
alkej-9	63	47	network	network	NOUN
alkej-9	63	48	.	.	PUNCT
alkej-9	64	1	dr	dr	PROPN
alkej-9	64	2	.	.	PROPN
alkej-9	64	3	tarik	tarik	PROPN
alkej-9	64	4	zeyad	zeyad	PROPN
alkej-9	64	5	/	/	SYM
alkej-9	64	6	al	al	PROPN
alkej-9	64	7	-	-	PUNCT
alkej-9	64	8	khwarizmi	khwarizmi	PROPN
alkej-9	64	9	engineering	engineering	NOUN
alkej-9	64	10	journal	journal	PROPN
alkej-9	64	11	,	,	PUNCT
alkej-9	64	12	vol.1	vol.1	PROPN
alkej-9	64	13	,	,	PUNCT
alkej-9	64	14	no	no	INTJ
alkej-9	64	15	.	.	PUNCT
alkej-9	65	1	2,pp	2,pp	NUM
alkej-9	65	2	14	14	NUM
alkej-9	65	3	-	-	SYM
alkej-9	65	4	21	21	NUM
alkej-9	65	5	(	(	PUNCT
alkej-9	65	6	2005	2005	NUM
alkej-9	65	7	)	)	PUNCT
alkej-9	65	8	17	17	NUM
alkej-9	65	9	these	these	DET
alkej-9	65	10	functions	function	NOUN
alkej-9	65	11	is	be	AUX
alkej-9	65	12	encoded	encode	VERB
alkej-9	65	13	by	by	ADP
alkej-9	65	14	the	the	DET
alkej-9	65	15	elements	element	NOUN
alkej-9	65	16	of	of	ADP
alkej-9	65	17	the	the	DET
alkej-9	65	18	matrix	matrix	NOUN
alkej-9	65	19	d.	d.	NOUN
alkej-9	65	20	using	use	VERB
alkej-9	65	21	the	the	DET
alkej-9	65	22	inverse	inverse	NOUN
alkej-9	65	23	wavelet	wavelet	NOUN
alkej-9	65	24	transform	transform	VERB
alkej-9	65	25	the	the	DET
alkej-9	65	26	elements	element	NOUN
alkej-9	65	27	of	of	ADP
alkej-9	65	28	the	the	DET
alkej-9	65	29	d	d	PROPN
alkej-9	65	30	matrix	matrix	NOUN
alkej-9	65	31	can	can	AUX
alkej-9	65	32	be	be	AUX
alkej-9	65	33	calculated	calculate	VERB
alkej-9	65	34	.	.	PUNCT
alkej-9	66	1	the	the	DET
alkej-9	66	2	activation	activation	NOUN
alkej-9	66	3	of	of	ADP
alkej-9	66	4	each	each	DET
alkej-9	66	5	wavelet	wavelet	NOUN
alkej-9	66	6	unit	unit	NOUN
alkej-9	66	7	plots	plot	VERB
alkej-9	66	8	a	a	DET
alkej-9	66	9	piecewise	piecewise	NOUN
alkej-9	66	10	constant	constant	ADJ
alkej-9	66	11	function	function	NOUN
alkej-9	66	12	at	at	ADP
alkej-9	66	13	a	a	DET
alkej-9	66	14	particular	particular	ADJ
alkej-9	66	15	scale	scale	NOUN
alkej-9	66	16	,	,	PUNCT
alkej-9	66	17	as	as	SCONJ
alkej-9	66	18	the	the	DET
alkej-9	66	19	som	som	NOUN
alkej-9	66	20	nodes	node	NOUN
alkej-9	66	21	are	be	AUX
alkej-9	66	22	successively	successively	ADV
alkej-9	66	23	activated	activate	VERB
alkej-9	66	24	.	.	PUNCT
alkej-9	67	1	in	in	ADP
alkej-9	67	2	case	case	NOUN
alkej-9	67	3	of	of	ADP
alkej-9	67	4	a	a	DET
alkej-9	67	5	one	one	NUM
alkej-9	67	6	-	-	PUNCT
alkej-9	67	7	dimensional	dimensional	ADJ
alkej-9	67	8	input	input	NOUN
alkej-9	67	9	space	space	NOUN
alkej-9	67	10	,	,	PUNCT
alkej-9	67	11	the	the	DET
alkej-9	67	12	number	number	NOUN
alkej-9	67	13	of	of	ADP
alkej-9	67	14	wavelet	wavelet	NOUN
alkej-9	67	15	units	unit	NOUN
alkej-9	67	16	is	be	AUX
alkej-9	67	17	the	the	DET
alkej-9	67	18	sum	sum	NOUN
alkej-9	67	19	of	of	ADP
alkej-9	67	20	the	the	DET
alkej-9	67	21	geometric	geometric	ADJ
alkej-9	67	22	progression	progression	NOUN
alkej-9	67	23	1	1	NUM
alkej-9	67	24	+	+	NOUN
alkej-9	67	25	1	1	NUM
alkej-9	67	26	+	+	NOUN
alkej-9	67	27	2+	2+	NUM
alkej-9	67	28	..	..	PUNCT
alkej-9	67	29	+2r-1	+2r-1	PART
alkej-9	68	1	=	=	SYM
alkej-9	68	2	2r	2r	NUM
alkej-9	68	3	=	=	SYM
alkej-9	68	4	n[1	n[1	PROPN
alkej-9	68	5	]	]	X
alkej-9	68	6	.	.	PUNCT
alkej-9	69	1	an	an	DET
alkej-9	69	2	approximation	approximation	NOUN
alkej-9	69	3	for	for	ADP
alkej-9	69	4	the	the	DET
alkej-9	69	5	basis	basis	NOUN
alkej-9	69	6	for	for	SCONJ
alkej-9	69	7	the	the	DET
alkej-9	69	8	l2	l2	NOUN
alkej-9	69	9	functions	function	NOUN
alkej-9	69	10	of	of	ADP
alkej-9	69	11	the	the	DET
alkej-9	69	12	input	input	NOUN
alkej-9	69	13	space	space	NOUN
alkej-9	69	14	is	be	AUX
alkej-9	69	15	given	give	VERB
alkej-9	69	16	both	both	PRON
alkej-9	69	17	by	by	ADP
alkej-9	69	18	the	the	DET
alkej-9	69	19	som	som	NOUN
alkej-9	69	20	layer	layer	NOUN
alkej-9	69	21	and	and	CCONJ
alkej-9	69	22	the	the	DET
alkej-9	69	23	wavelet	wavelet	NOUN
alkej-9	69	24	layer	layer	NOUN
alkej-9	69	25	.	.	PUNCT
alkej-9	70	1	now	now	ADV
alkej-9	70	2	as	as	SCONJ
alkej-9	70	3	the	the	DET
alkej-9	70	4	data	data	NOUN
alkej-9	70	5	is	be	AUX
alkej-9	70	6	preprocessed	preprocesse	VERB
alkej-9	70	7	by	by	ADP
alkej-9	70	8	the	the	DET
alkej-9	70	9	som	som	NOUN
alkej-9	70	10	layer	layer	NOUN
alkej-9	70	11	.	.	PUNCT
alkej-9	71	1	the	the	DET
alkej-9	71	2	wavelet	wavelet	NOUN
alkej-9	71	3	used	use	VERB
alkej-9	71	4	in	in	ADP
alkej-9	71	5	this	this	DET
alkej-9	71	6	approximation	approximation	NOUN
alkej-9	71	7	gets	get	AUX
alkej-9	71	8	adapted	adapt	VERB
alkej-9	71	9	to	to	ADP
alkej-9	71	10	the	the	DET
alkej-9	71	11	distribution	distribution	NOUN
alkej-9	71	12	of	of	ADP
alkej-9	71	13	the	the	DET
alkej-9	71	14	training	training	NOUN
alkej-9	71	15	data	datum	NOUN
alkej-9	71	16	.	.	PUNCT
alkej-9	72	1	the	the	DET
alkej-9	72	2	wavelet	wavelet	NOUN
alkej-9	72	3	bases	basis	NOUN
alkej-9	72	4	,	,	PUNCT
alkej-9	72	5	so	so	ADV
alkej-9	72	6	formed	form	VERB
alkej-9	72	7	by	by	ADP
alkej-9	72	8	the	the	DET
alkej-9	72	9	wsom	wsom	NOUN
alkej-9	72	10	layer	layer	NOUN
alkej-9	72	11	,	,	PUNCT
alkej-9	72	12	retain	retain	VERB
alkej-9	72	13	many	many	ADJ
alkej-9	72	14	of	of	ADP
alkej-9	72	15	the	the	DET
alkej-9	72	16	properties	property	NOUN
alkej-9	72	17	of	of	ADP
alkej-9	72	18	the	the	DET
alkej-9	72	19	mother	mother	NOUN
alkej-9	72	20	wavelet	wavelet	NOUN
alkej-9	72	21	,	,	PUNCT
alkej-9	72	22	including	include	VERB
alkej-9	72	23	orthogonality	orthogonality	NOUN
alkej-9	72	24	,	,	PUNCT
alkej-9	72	25	as	as	SCONJ
alkej-9	72	26	the	the	DET
alkej-9	72	27	wavelets	wavelet	NOUN
alkej-9	72	28	are	be	AUX
alkej-9	72	29	defined	define	VERB
alkej-9	72	30	in	in	ADP
alkej-9	72	31	the	the	DET
alkej-9	72	32	grid	grid	NOUN
alkej-9	72	33	coordinate	coordinate	NOUN
alkej-9	72	34	of	of	ADP
alkej-9	72	35	the	the	DET
alkej-9	72	36	som	som	NOUN
alkej-9	72	37	layer	layer	NOUN
alkej-9	72	38	instead	instead	ADV
alkej-9	72	39	of	of	ADP
alkej-9	72	40	the	the	DET
alkej-9	72	41	co	co	NOUN
alkej-9	72	42	-	-	NOUN
alkej-9	72	43	ordinate	ordinate	NOUN
alkej-9	72	44	of	of	ADP
alkej-9	72	45	the	the	DET
alkej-9	72	46	input	input	NOUN
alkej-9	72	47	space	space	NOUN
alkej-9	72	48	.	.	PUNCT
alkej-9	73	1	conventional	conventional	ADJ
alkej-9	73	2	ways	way	NOUN
alkej-9	73	3	of	of	ADP
alkej-9	73	4	computing	compute	VERB
alkej-9	73	5	wavelet	wavelet	NOUN
alkej-9	73	6	coefficients	coefficient	NOUN
alkej-9	73	7	require	require	VERB
alkej-9	73	8	that	that	SCONJ
alkej-9	73	9	the	the	DET
alkej-9	73	10	input	input	NOUN
alkej-9	73	11	signal	signal	NOUN
alkej-9	73	12	be	be	AUX
alkej-9	73	13	stored	store	VERB
alkej-9	73	14	in	in	ADP
alkej-9	73	15	memory	memory	NOUN
alkej-9	73	16	,	,	PUNCT
alkej-9	73	17	and	and	CCONJ
alkej-9	73	18	the	the	DET
alkej-9	73	19	wavelet	wavelet	NOUN
alkej-9	73	20	coefficients	coefficient	NOUN
alkej-9	73	21	,	,	PUNCT
alkej-9	73	22	by	by	ADP
alkej-9	73	23	looking	look	VERB
alkej-9	73	24	at	at	ADP
alkej-9	73	25	one	one	NUM
alkej-9	73	26	observation	observation	NOUN
alkej-9	73	27	at	at	ADP
alkej-9	73	28	a	a	DET
alkej-9	73	29	time	time	NOUN
alkej-9	73	30	and	and	CCONJ
alkej-9	73	31	computing	compute	VERB
alkej-9	73	32	the	the	DET
alkej-9	73	33	coefficients	coefficient	NOUN
alkej-9	73	34	using	use	VERB
alkej-9	73	35	the	the	DET
alkej-9	73	36	data	data	NOUN
alkej-9	73	37	rule	rule	NOUN
alkej-9	73	38	.	.	PUNCT
alkej-9	74	1	the	the	DET
alkej-9	74	2	number	number	NOUN
alkej-9	74	3	of	of	ADP
alkej-9	74	4	coefficients	coefficient	NOUN
alkej-9	74	5	of	of	ADP
alkej-9	74	6	the	the	DET
alkej-9	74	7	wsom	wsom	NOUN
alkej-9	74	8	layer	layer	NOUN
alkej-9	74	9	is	be	AUX
alkej-9	74	10	lesser	less	ADJ
alkej-9	74	11	than	than	ADP
alkej-9	74	12	the	the	DET
alkej-9	74	13	number	number	NOUN
alkej-9	74	14	of	of	ADP
alkej-9	74	15	inputs	input	NOUN
alkej-9	74	16	.	.	PUNCT
alkej-9	75	1	in	in	ADP
alkej-9	75	2	this	this	DET
alkej-9	75	3	case	case	NOUN
alkej-9	75	4	,	,	PUNCT
alkej-9	75	5	the	the	DET
alkej-9	75	6	wsom	wsom	NOUN
alkej-9	75	7	layer	layer	NOUN
alkej-9	75	8	uses	use	VERB
alkej-9	75	9	low	low	ADJ
alkej-9	75	10	-	-	PUNCT
alkej-9	75	11	dimension	dimension	NOUN
alkej-9	75	12	wavelets	wavelet	NOUN
alkej-9	75	13	to	to	PART
alkej-9	75	14	form	form	VERB
alkej-9	75	15	bases	basis	NOUN
alkej-9	75	16	for	for	ADP
alkej-9	75	17	high	high	ADJ
alkej-9	75	18	dimensional	dimensional	ADJ
alkej-9	75	19	input	input	NOUN
alkej-9	75	20	space	space	NOUN
alkej-9	75	21	.	.	PUNCT
alkej-9	76	1	the	the	DET
alkej-9	76	2	wsom	wsom	NOUN
alkej-9	76	3	systems	system	NOUN
alkej-9	76	4	have	have	VERB
alkej-9	76	5	a	a	DET
alkej-9	76	6	few	few	ADJ
alkej-9	76	7	advantages	advantage	NOUN
alkej-9	76	8	over	over	ADP
alkej-9	76	9	the	the	DET
alkej-9	76	10	som	som	NOUN
alkej-9	76	11	,	,	PUNCT
alkej-9	76	12	though	though	SCONJ
alkej-9	76	13	they	they	PRON
alkej-9	76	14	have	have	VERB
alkej-9	76	15	the	the	DET
alkej-9	76	16	same	same	ADJ
alkej-9	76	17	root	root	NOUN
alkej-9	76	18	mean	mean	NOUN
alkej-9	76	19	square	square	NOUN
alkej-9	76	20	error	error	NOUN
alkej-9	76	21	.	.	PUNCT
alkej-9	77	1	the	the	DET
alkej-9	77	2	representation	representation	NOUN
alkej-9	77	3	of	of	ADP
alkej-9	77	4	a	a	DET
alkej-9	77	5	function	function	NOUN
alkej-9	77	6	using	use	VERB
alkej-9	77	7	wsom	wsom	NOUN
alkej-9	77	8	requires	require	VERB
alkej-9	77	9	lesser	less	ADJ
alkej-9	77	10	number	number	NOUN
alkej-9	77	11	of	of	ADP
alkej-9	77	12	nonzero	nonzero	PROPN
alkej-9	77	13	weights	weight	NOUN
alkej-9	77	14	,	,	PUNCT
alkej-9	77	15	and	and	CCONJ
alkej-9	77	16	it	it	PRON
alkej-9	77	17	supports	support	VERB
alkej-9	77	18	methods	method	NOUN
alkej-9	77	19	for	for	ADP
alkej-9	77	20	reducing	reduce	VERB
alkej-9	77	21	the	the	DET
alkej-9	77	22	noise	noise	NOUN
alkej-9	77	23	and	and	CCONJ
alkej-9	77	24	recovering	recover	VERB
alkej-9	77	25	the	the	DET
alkej-9	77	26	signal	signal	NOUN
alkej-9	77	27	.	.	PUNCT
alkej-9	78	1	the	the	DET
alkej-9	78	2	following	follow	VERB
alkej-9	78	3	algorithm	algorithm	NOUN
alkej-9	78	4	implemented	implement	VERB
alkej-9	78	5	the	the	DET
alkej-9	78	6	wsom	wsom	NOUN
alkej-9	78	7	[	[	X
alkej-9	78	8	1	1	NUM
alkej-9	78	9	]	]	PUNCT
alkej-9	78	10	.	.	PUNCT
alkej-9	79	1	variables	variable	NOUN
alkej-9	79	2	:	:	PUNCT
alkej-9	79	3	a	a	X
alkej-9	79	4	?	?	PUNCT
alkej-9	80	1	(	(	PUNCT
alkej-9	80	2	a1	a1	VERB
alkej-9	80	3	……	……	NOUN
alkej-9	80	4	.	.	PUNCT
alkej-9	81	1	ai	ai	PROPN
alkej-9	81	2	…	…	PUNCT
alkej-9	81	3	…	…	PUNCT
alkej-9	81	4	am	be	AUX
alkej-9	81	5	)	)	PUNCT
alkej-9	81	6	is	be	AUX
alkej-9	81	7	the	the	DET
alkej-9	81	8	input	input	NOUN
alkej-9	81	9	vector	vector	NOUN
alkej-9	81	10	.	.	PUNCT
alkej-9	82	1	y	y	X
alkej-9	82	2	?	?	PUNCT
alkej-9	83	1	(	(	PUNCT
alkej-9	83	2	y1…….yi	y1…….yi	PROPN
alkej-9	83	3	…	…	PUNCT
alkej-9	83	4	…	…	SYM
alkej-9	83	5	ym	ym	NUM
alkej-9	83	6	)	)	PUNCT
alkej-9	83	7	is	be	AUX
alkej-9	83	8	the	the	DET
alkej-9	83	9	vector	vector	NOUN
alkej-9	83	10	of	of	ADP
alkej-9	83	11	activity	activity	NOUN
alkej-9	83	12	of	of	ADP
alkej-9	83	13	the	the	DET
alkej-9	83	14	som	som	NOUN
alkej-9	83	15	layer	layer	NOUN
alkej-9	83	16	.	.	PUNCT
alkej-9	84	1	o	o	NOUN
alkej-9	84	2	?	?	PUNCT
alkej-9	85	1	(	(	PUNCT
alkej-9	85	2	o1……oi…….om	o1……oi…….om	NOUN
alkej-9	85	3	)	)	PUNCT
alkej-9	85	4	is	be	AUX
alkej-9	85	5	the	the	DET
alkej-9	85	6	vector	vector	NOUN
alkej-9	85	7	of	of	ADP
alkej-9	85	8	activity	activity	NOUN
alkej-9	85	9	of	of	ADP
alkej-9	85	10	the	the	DET
alkej-9	85	11	wavelet	wavelet	NOUN
alkej-9	85	12	layer	layer	NOUN
alkej-9	85	13	.	.	PUNCT
alkej-9	86	1	b	b	X
alkej-9	86	2	?	?	PUNCT
alkej-9	86	3	(	(	PUNCT
alkej-9	86	4	b1…….bi…….bm	b1…….bi…….bm	NOUN
alkej-9	86	5	)	)	PUNCT
alkej-9	86	6	is	be	AUX
alkej-9	86	7	the	the	DET
alkej-9	86	8	vector	vector	NOUN
alkej-9	86	9	of	of	ADP
alkej-9	86	10	neural	neural	ADJ
alkej-9	86	11	output	output	NOUN
alkej-9	86	12	.	.	PUNCT
alkej-9	87	1	wj	wj	PROPN
alkej-9	87	2	?	?	PUNCT
alkej-9	88	1	(	(	PUNCT
alkej-9	88	2	w1j	w1j	X
alkej-9	88	3	…	…	PUNCT
alkej-9	88	4	..	..	SYM
alkej-9	88	5	wij	wij	PROPN
alkej-9	88	6	…	…	SYM
alkej-9	88	7	…	…	SYM
alkej-9	88	8	wmj	wmj	PROPN
alkej-9	88	9	)	)	PUNCT
alkej-9	88	10	is	be	AUX
alkej-9	88	11	the	the	DET
alkej-9	88	12	vector	vector	NOUN
alkej-9	88	13	of	of	ADP
alkej-9	88	14	weights	weight	NOUN
alkej-9	88	15	from	from	ADP
alkej-9	88	16	the	the	DET
alkej-9	88	17	input	input	NOUN
alkej-9	88	18	layer	layer	NOUN
alkej-9	88	19	to	to	ADP
alkej-9	88	20	the	the	DET
alkej-9	88	21	jth	jth	PROPN
alkej-9	88	22	node	node	NOUN
alkej-9	88	23	of	of	ADP
alkej-9	88	24	the	the	DET
alkej-9	88	25	som	som	NOUN
alkej-9	88	26	layer	layer	NOUN
alkej-9	88	27	.	.	PUNCT
alkej-9	89	1	ds	ds	ADJ
alkej-9	89	2	?	?	PUNCT
alkej-9	89	3	(	(	PUNCT
alkej-9	89	4	d1s……dij…….dmj	d1s……dij…….dmj	NOUN
alkej-9	89	5	)	)	PUNCT
alkej-9	89	6	is	be	AUX
alkej-9	89	7	the	the	DET
alkej-9	89	8	non	non	ADJ
alkej-9	89	9	-	-	ADJ
alkej-9	89	10	adaptive	adaptive	ADJ
alkej-9	89	11	weights	weight	NOUN
alkej-9	89	12	from	from	ADP
alkej-9	89	13	the	the	DET
alkej-9	89	14	som	som	NOUN
alkej-9	89	15	layer	layer	NOUN
alkej-9	89	16	to	to	ADP
alkej-9	89	17	the	the	DET
alkej-9	89	18	sth	sth	NOUN
alkej-9	89	19	node	node	NOUN
alkej-9	89	20	of	of	ADP
alkej-9	89	21	the	the	DET
alkej-9	89	22	wavelet	wavelet	NOUN
alkej-9	89	23	layer	layer	NOUN
alkej-9	89	24	.	.	PUNCT
alkej-9	90	1	ck	ck	ADJ
alkej-9	90	2	?	?	PUNCT
alkej-9	91	1	(	(	PUNCT
alkej-9	91	2	c1k……cik…….cmk	c1k……cik…….cmk	NOUN
alkej-9	91	3	)	)	PUNCT
alkej-9	91	4	is	be	AUX
alkej-9	91	5	the	the	DET
alkej-9	91	6	vector	vector	NOUN
alkej-9	91	7	of	of	ADP
alkej-9	91	8	the	the	DET
alkej-9	91	9	weights	weight	NOUN
alkej-9	91	10	from	from	ADP
alkej-9	91	11	the	the	DET
alkej-9	91	12	wavelet	wavelet	NOUN
alkej-9	91	13	later	later	ADV
alkej-9	91	14	to	to	ADP
alkej-9	91	15	the	the	DET
alkej-9	91	16	kth	kth	PROPN
alkej-9	91	17	node	node	NOUN
alkej-9	91	18	of	of	ADP
alkej-9	91	19	the	the	DET
alkej-9	91	20	output	output	NOUN
alkej-9	91	21	layer	layer	NOUN
alkej-9	91	22	.	.	PUNCT
alkej-9	92	1	xj	xj	PROPN
alkej-9	92	2	?	?	PROPN
alkej-9	92	3	is	be	AUX
alkej-9	92	4	the	the	DET
alkej-9	92	5	position	position	NOUN
alkej-9	92	6	of	of	ADP
alkej-9	92	7	the	the	DET
alkej-9	92	8	jth	jth	PROPN
alkej-9	92	9	unit	unit	NOUN
alkej-9	92	10	in	in	ADP
alkej-9	92	11	the	the	DET
alkej-9	92	12	som	som	NOUN
alkej-9	92	13	layer	layer	NOUN
alkej-9	92	14	on	on	ADP
alkej-9	92	15	an	an	DET
alkej-9	92	16	integer	integer	NOUN
alkej-9	92	17	-	-	PUNCT
alkej-9	92	18	valued	value	VERB
alkej-9	92	19	grid	grid	NOUN
alkej-9	92	20	.	.	PUNCT
alkej-9	93	1	parameters	parameter	NOUN
alkej-9	93	2	:	:	PUNCT
alkej-9	93	3	a	a	X
alkej-9	93	4	:	:	PUNCT
alkej-9	93	5	is	be	AUX
alkej-9	93	6	the	the	DET
alkej-9	93	7	learning	learning	NOUN
alkej-9	93	8	rate	rate	NOUN
alkej-9	93	9	for	for	ADP
alkej-9	93	10	weights	weight	NOUN
alkej-9	93	11	csk	csk	PROPN
alkej-9	93	12	.	.	PUNCT
alkej-9	94	1	β	β	X
alkej-9	94	2	:	:	PUNCT
alkej-9	94	3	is	be	AUX
alkej-9	94	4	the	the	DET
alkej-9	94	5	learning	learning	NOUN
alkej-9	94	6	rate	rate	NOUN
alkej-9	94	7	for	for	ADP
alkej-9	94	8	the	the	DET
alkej-9	94	9	weights	weight	NOUN
alkej-9	94	10	wij	wij	NOUN
alkej-9	94	11	.	.	PUNCT
alkej-9	95	1	s	s	X
alkej-9	95	2	:	:	PUNCT
alkej-9	95	3	is	be	AUX
alkej-9	95	4	the	the	DET
alkej-9	95	5	neighborhood	neighborhood	NOUN
alkej-9	95	6	size	size	NOUN
alkej-9	95	7	used	use	VERB
alkej-9	95	8	in	in	ADP
alkej-9	95	9	the	the	DET
alkej-9	95	10	som	som	NOUN
alkej-9	95	11	algorithm	algorithm	NOUN
alkej-9	95	12	.	.	PUNCT
alkej-9	96	1	j	j	NOUN
alkej-9	96	2	:	:	PUNCT
alkej-9	96	3	is	be	AUX
alkej-9	96	4	the	the	DET
alkej-9	96	5	index	index	NOUN
alkej-9	96	6	of	of	ADP
alkej-9	96	7	the	the	DET
alkej-9	96	8	wining	wine	VERB
alkej-9	96	9	unit	unit	NOUN
alkej-9	96	10	at	at	ADP
alkej-9	96	11	the	the	DET
alkej-9	96	12	som	som	NOUN
alkej-9	96	13	layer	layer	NOUN
alkej-9	96	14	.	.	PUNCT
alkej-9	97	1	hij	hij	NOUN
alkej-9	97	2	decrease	decrease	VERB
alkej-9	97	3	the	the	DET
alkej-9	97	4	complexity	complexity	NOUN
alkej-9	97	5	with	with	ADP
alkej-9	97	6	the	the	DET
alkej-9	97	7	distance	distance	NOUN
alkej-9	97	8	to	to	ADP
alkej-9	97	9	the	the	DET
alkej-9	97	10	jth	jth	PROPN
alkej-9	97	11	unit	unit	NOUN
alkej-9	97	12	in	in	ADP
alkej-9	97	13	the	the	DET
alkej-9	97	14	som	som	NOUN
alkej-9	97	15	layer	layer	NOUN
alkej-9	97	16	.	.	PUNCT
alkej-9	98	1	wand	wand	NOUN
alkej-9	98	2	w+	w+	VERB
alkej-9	98	3	are	be	AUX
alkej-9	98	4	the	the	DET
alkej-9	98	5	minimum	minimum	NOUN
alkej-9	98	6	and	and	CCONJ
alkej-9	98	7	the	the	DET
alkej-9	98	8	maximum	maximum	NOUN
alkej-9	98	9	of	of	ADP
alkej-9	98	10	initial	initial	ADJ
alkej-9	98	11	weights	weight	NOUN
alkej-9	98	12	wij	wij	NOUN
alkej-9	98	13	.	.	PUNCT
alkej-9	99	1	β0	β0	PROPN
alkej-9	99	2	is	be	AUX
alkej-9	99	3	the	the	DET
alkej-9	99	4	initial	initial	ADJ
alkej-9	99	5	value	value	NOUN
alkej-9	99	6	for	for	ADP
alkej-9	99	7	β	β	X
alkej-9	99	8	.	.	PUNCT
alkej-9	100	1	β1	β1	PROPN
alkej-9	100	2	is	be	AUX
alkej-9	100	3	the	the	DET
alkej-9	100	4	final	final	ADJ
alkej-9	100	5	value	value	NOUN
alkej-9	100	6	for	for	ADP
alkej-9	100	7	β	β	NOUN
alkej-9	100	8	.	.	PUNCT
alkej-9	101	1	s0	s0	PROPN
alkej-9	101	2	is	be	AUX
alkej-9	101	3	the	the	DET
alkej-9	101	4	initial	initial	ADJ
alkej-9	101	5	value	value	NOUN
alkej-9	101	6	for	for	ADP
alkej-9	101	7	s.	s.	PROPN
alkej-9	101	8	s1	s1	PROPN
alkej-9	101	9	is	be	AUX
alkej-9	101	10	the	the	DET
alkej-9	101	11	final	final	ADJ
alkej-9	101	12	value	value	NOUN
alkej-9	101	13	for	for	ADP
alkej-9	101	14	s.	s.	PROPN
alkej-9	101	15	dr	dr	PROPN
alkej-9	101	16	.	.	PROPN
alkej-9	101	17	tarik	tarik	PROPN
alkej-9	101	18	zeyad	zeyad	PROPN
alkej-9	101	19	/	/	SYM
alkej-9	101	20	al	al	PROPN
alkej-9	101	21	-	-	PUNCT
alkej-9	101	22	khwarizmi	khwarizmi	PROPN
alkej-9	101	23	engineering	engineering	NOUN
alkej-9	101	24	journal	journal	PROPN
alkej-9	101	25	,	,	PUNCT
alkej-9	101	26	vol.1	vol.1	PROPN
alkej-9	101	27	,	,	PUNCT
alkej-9	101	28	no	no	INTJ
alkej-9	101	29	.	.	PUNCT
alkej-9	102	1	2,pp	2,pp	NUM
alkej-9	102	2	14	14	NUM
alkej-9	102	3	-	-	SYM
alkej-9	102	4	21	21	NUM
alkej-9	102	5	(	(	PUNCT
alkej-9	102	6	2005	2005	NUM
alkej-9	102	7	)	)	PUNCT
alkej-9	102	8	18	18	NUM
alkej-9	102	9	t1	t1	NOUN
alkej-9	102	10	is	be	AUX
alkej-9	102	11	the	the	DET
alkej-9	102	12	required	require	VERB
alkej-9	102	13	training	training	NOUN
alkej-9	102	14	sets	set	NOUN
alkej-9	102	15	to	to	PART
alkej-9	102	16	decrease	decrease	VERB
alkej-9	102	17	β	β	PROPN
alkej-9	102	18	and	and	CCONJ
alkej-9	102	19	s	s	X
alkej-9	102	20	from	from	ADP
alkej-9	102	21	β0	β0	NOUN
alkej-9	102	22	and	and	CCONJ
alkej-9	102	23	s0	s0	NOUN
alkej-9	102	24	to	to	ADP
alkej-9	102	25	β1	β1	PROPN
alkej-9	102	26	and	and	CCONJ
alkej-9	102	27	s1	s1	NOUN
alkej-9	102	28	respectively	respectively	ADV
alkej-9	102	29	.	.	PUNCT
alkej-9	103	1	n	n	CCONJ
alkej-9	103	2	:	:	PUNCT
alkej-9	103	3	is	be	AUX
alkej-9	103	4	the	the	DET
alkej-9	103	5	total	total	ADJ
alkej-9	103	6	training	training	NOUN
alkej-9	103	7	set	set	VERB
alkej-9	103	8	input	input	NOUN
alkej-9	103	9	number	number	NOUN
alkej-9	103	10	.	.	PUNCT
alkej-9	104	1	algorithm	algorithm	NOUN
alkej-9	104	2	1	1	NUM
alkej-9	104	3	-	-	PUNCT
alkej-9	104	4	set	set	NOUN
alkej-9	104	5	t=1	t=1	PROPN
alkej-9	104	6	,	,	PUNCT
alkej-9	104	7	csk’s=0	csk’s=0	PROPN
alkej-9	104	8	and	and	CCONJ
alkej-9	104	9	evenly	evenly	ADV
alkej-9	104	10	distribute	distribute	VERB
alkej-9	104	11	the	the	DET
alkej-9	104	12	weights	weight	NOUN
alkej-9	104	13	wij	wij	NOUN
alkej-9	104	14	’s	’s	NOUN
alkej-9	104	15	in	in	ADP
alkej-9	104	16	[	[	X
alkej-9	104	17	w-,w+	w-,w+	X
alkej-9	104	18	]	]	PUNCT
alkej-9	104	19	.	.	PUNCT
alkej-9	105	1	2	2	NUM
alkej-9	105	2	-	-	PUNCT
alkej-9	105	3	decrease	decrease	NOUN
alkej-9	105	4	β	β	NOUN
alkej-9	105	5	:	:	PUNCT
alkej-9	105	6			NOUN
alkej-9	105	7			VERB
alkej-9	105	8			X
alkej-9	105	9			NOUN
alkej-9	105	10	=	=	SYM
alkej-9	105	11	<	<	X
alkej-9	105	12			NOUN
alkej-9	105	13			PUNCT
alkej-9	106	1			PROPN
alkej-9	106	2			NOUN
alkej-9	106	3			VERB
alkej-9	106	4	=	=	PUNCT
alkej-9	106	5	−	−	NOUN
alkej-9	106	6	−	−	NUM
alkej-9	106	7	11	11	NUM
alkej-9	106	8	1	1	NUM
alkej-9	106	9	1	1	NUM
alkej-9	106	10	1	1	NUM
alkej-9	106	11	1	1	NUM
alkej-9	106	12	0	0	NUM
alkej-9	106	13	0	0	NUM
alkej-9	106	14	1	1	NUM
alkej-9	106	15	t	t	NOUN
alkej-9	106	16	if	if	SCONJ
alkej-9	106	17	t	t	PROPN
alkej-9	106	18	β	β	X
alkej-9	106	19	tt	tt	PROPN
alkej-9	106	20	if	if	SCONJ
alkej-9	106	21	β	β	NOUN
alkej-9	106	22	βββ	βββ	VERB
alkej-9	106	23	t	t	PROPN
alkej-9	106	24	t	t	PROPN
alkej-9	106	25	3	3	NUM
alkej-9	106	26	-	-	PUNCT
alkej-9	106	27	decrease	decrease	NOUN
alkej-9	106	28	s	s	NOUN
alkej-9	106	29	:	:	PUNCT
alkej-9	106	30			VERB
alkej-9	106	31			VERB
alkej-9	106	32			X
alkej-9	106	33			NOUN
alkej-9	106	34	=	=	SYM
alkej-9	106	35	<	<	X
alkej-9	106	36			NOUN
alkej-9	106	37			PUNCT
alkej-9	107	1			PROPN
alkej-9	107	2			NOUN
alkej-9	107	3			VERB
alkej-9	107	4	=	=	PUNCT
alkej-9	107	5	−	−	NOUN
alkej-9	107	6	−	−	NUM
alkej-9	107	7	11	11	NUM
alkej-9	107	8	1	1	NUM
alkej-9	107	9	1	1	NUM
alkej-9	107	10	1	1	NUM
alkej-9	107	11	1	1	NUM
alkej-9	107	12	0	0	NUM
alkej-9	107	13	0	0	NUM
alkej-9	107	14	1	1	NUM
alkej-9	107	15	t	t	NOUN
alkej-9	107	16	if	if	SCONJ
alkej-9	107	17	t	t	PROPN
alkej-9	107	18	s	s	VERB
alkej-9	107	19	tt	tt	PROPN
alkej-9	107	20	if	if	SCONJ
alkej-9	107	21	s	s	PROPN
alkej-9	107	22	sss	sss	PROPN
alkej-9	107	23	t	t	PROPN
alkej-9	107	24	t	t	PROPN
alkej-9	107	25	4	4	NUM
alkej-9	107	26	-	-	PUNCT
alkej-9	107	27	obtain	obtain	VERB
alkej-9	107	28	the	the	DET
alkej-9	107	29	jth	jth	PROPN
alkej-9	107	30	input	input	PROPN
alkej-9	107	31	vector	vector	PROPN
alkej-9	107	32	a	a	NOUN
alkej-9	107	33	,	,	PUNCT
alkej-9	107	34	and	and	CCONJ
alkej-9	107	35	the	the	DET
alkej-9	107	36	output	output	NOUN
alkej-9	107	37	vector	vector	PROPN
alkej-9	107	38	b.	b.	PROPN
alkej-9	107	39	5	5	NUM
alkej-9	107	40	-	-	PUNCT
alkej-9	107	41	find	find	VERB
alkej-9	107	42	j	j	NOUN
alkej-9	107	43	=	=	NOUN
alkej-9	107	44	arg	arg	VERB
alkej-9	107	45	minj	minj	NOUN
alkej-9	107	46	║	║	NOUN
alkej-9	107	47	a	a	DET
alkej-9	107	48	-	-	PUNCT
alkej-9	107	49	wj	wj	NOUN
alkej-9	107	50	║	║	NOUN
alkej-9	107	51	.	.	PUNCT
alkej-9	108	1	6	6	NUM
alkej-9	108	2	-	-	PUNCT
alkej-9	108	3	calculate	calculate	NOUN
alkej-9	108	4	the	the	DET
alkej-9	108	5	activity	activity	NOUN
alkej-9	108	6	of	of	ADP
alkej-9	108	7	the	the	DET
alkej-9	108	8	som	som	NOUN
alkej-9	108	9	layer	layer	NOUN
alkej-9	108	10	:	:	PUNCT
alkej-9	108	11	yj=1	yj=1	NOUN
alkej-9	108	12	and	and	CCONJ
alkej-9	108	13	yj=0	yj=0	ADJ
alkej-9	108	14	.	.	PUNCT
alkej-9	109	1	7	7	NUM
alkej-9	109	2	-	-	PUNCT
alkej-9	109	3	calculate	calculate	NOUN
alkej-9	109	4	the	the	DET
alkej-9	109	5	activity	activity	NOUN
alkej-9	109	6	of	of	ADP
alkej-9	109	7	the	the	DET
alkej-9	109	8	wavelet	wavelet	NOUN
alkej-9	109	9	layer	layer	NOUN
alkej-9	109	10	:	:	PUNCT
alkej-9	109	11	f	f	X
alkej-9	109	12	=	=	PUNCT
alkej-9	109	13	dy	dy	NOUN
alkej-9	109	14	=	=	NOUN
alkej-9	109	15	djs	djs	NOUN
alkej-9	109	16	.	.	PUNCT
alkej-9	110	1	8	8	NUM
alkej-9	110	2	-	-	PUNCT
alkej-9	110	3	compute	compute	NOUN
alkej-9	110	4	the	the	DET
alkej-9	110	5	output	output	NOUN
alkej-9	110	6	∑	∑	PUNCT
alkej-9	110	7	=	=	PUNCT
alkej-9	111	1	=	=	PUNCT
alkej-9	111	2	n	n	NUM
alkej-9	111	3	s	s	NOUN
alkej-9	111	4	sskk	sskk	VERB
alkej-9	111	5	ocβ̂	ocβ̂	PROPN
alkej-9	111	6	1	1	NUM
alkej-9	111	7	.	.	PUNCT
alkej-9	112	1	9	9	NUM
alkej-9	112	2	-	-	PUNCT
alkej-9	112	3	adjust	adjust	NOUN
alkej-9	112	4	csk	csk	NOUN
alkej-9	112	5	according	accord	VERB
alkej-9	112	6	to	to	ADP
alkej-9	112	7	(	(	PUNCT
alkej-9	112	8	)	)	PUNCT
alkej-9	112	9	kkssk	kkssk	X
alkej-9	112	10	β̂βαoδc	β̂βαoδc	X
alkej-9	112	11	−=	−=	X
alkej-9	112	12	.	.	PUNCT
alkej-9	113	1	10	10	NUM
alkej-9	113	2	-	-	PUNCT
alkej-9	113	3	set	set	VERB
alkej-9	113	4			NOUN
alkej-9	113	5			VERB
alkej-9	113	6			PUNCT
alkej-9	114	1			PROPN
alkej-9	114	2			PROPN
alkej-9	114	3			NOUN
alkej-9	114	4			NOUN
alkej-9	114	5			VERB
alkej-9	114	6	−	−	NOUN
alkej-9	114	7	=	=	SYM
alkej-9	114	8	2	2	NUM
alkej-9	114	9	2	2	NUM
alkej-9	114	10	s	s	PART
alkej-9	114	11	xx	xx	NUM
alkej-9	114	12	exph	exph	NOUN
alkej-9	114	13	jj	jj	PROPN
alkej-9	114	14	jj	jj	PROPN
alkej-9	114	15	.	.	PUNCT
alkej-9	115	1	11	11	NUM
alkej-9	115	2	-	-	PUNCT
alkej-9	115	3	adjust	adjust	VERB
alkej-9	115	4	wik	wik	PROPN
alkej-9	115	5	according	accord	VERB
alkej-9	115	6	to	to	ADP
alkej-9	115	7	:	:	PUNCT
alkej-9	115	8	)	)	PUNCT
alkej-9	115	9	wa(hw	wa(hw	PROPN
alkej-9	116	1	ikikjjikik	ikikjjikik	ADJ
alkej-9	116	2	−β=∆	−β=∆	NOUN
alkej-9	116	3	.	.	PUNCT
alkej-9	117	1	12	12	NUM
alkej-9	117	2	-	-	PUNCT
alkej-9	117	3	if	if	SCONJ
alkej-9	117	4	t	t	PROPN
alkej-9	117	5	=	=	SYM
alkej-9	117	6	n	n	CCONJ
alkej-9	117	7	,	,	PUNCT
alkej-9	117	8	then	then	ADV
alkej-9	117	9	stop	stop	VERB
alkej-9	117	10	,	,	PUNCT
alkej-9	117	11	else	else	ADV
alkej-9	117	12	go	go	VERB
alkej-9	117	13	to	to	PART
alkej-9	117	14	step	step	VERB
alkej-9	117	15	1	1	NUM
alkej-9	117	16	with	with	ADP
alkej-9	117	17	(	(	PUNCT
alkej-9	117	18	t	t	X
alkej-9	117	19	=	=	PROPN
alkej-9	117	20	t+1	t+1	PROPN
alkej-9	117	21	)	)	PUNCT
alkej-9	117	22	.	.	PUNCT
alkej-9	118	1	4	4	X
alkej-9	118	2	.	.	X
alkej-9	118	3	wavelet	wavelet	NOUN
alkej-9	118	4	neural	neural	PROPN
alkej-9	118	5	networks	network	VERB
alkej-9	118	6	a	a	DET
alkej-9	118	7	wavelet	wavelet	NOUN
alkej-9	118	8	neural	neural	ADJ
alkej-9	118	9	network	network	NOUN
alkej-9	118	10	(	(	PUNCT
alkej-9	118	11	wnn	wnn	PROPN
alkej-9	118	12	)	)	PUNCT
alkej-9	118	13	shown	show	VERB
alkej-9	118	14	in	in	ADP
alkej-9	118	15	figure	figure	NOUN
alkej-9	118	16	(	(	PUNCT
alkej-9	118	17	3	3	NUM
alkej-9	118	18	)	)	PUNCT
alkej-9	118	19	,	,	PUNCT
alkej-9	118	20	is	be	AUX
alkej-9	118	21	a	a	DET
alkej-9	118	22	network	network	NOUN
alkej-9	118	23	layer	layer	NOUN
alkej-9	118	24	with	with	ADP
alkej-9	118	25	two	two	NUM
alkej-9	118	26	layers	layer	NOUN
alkej-9	118	27	whose	whose	DET
alkej-9	118	28	output	output	NOUN
alkej-9	118	29	nodes	node	NOUN
alkej-9	118	30	form	form	VERB
alkej-9	118	31	a	a	DET
alkej-9	118	32	linear	linear	ADJ
alkej-9	118	33	combination	combination	NOUN
alkej-9	118	34	of	of	ADP
alkej-9	118	35	wavelet	wavelet	NOUN
alkej-9	118	36	basis	basis	NOUN
alkej-9	118	37	functions	function	NOUN
alkej-9	118	38	that	that	PRON
alkej-9	118	39	are	be	AUX
alkej-9	118	40	calculated	calculate	VERB
alkej-9	118	41	in	in	ADP
alkej-9	118	42	the	the	DET
alkej-9	118	43	hidden	hide	VERB
alkej-9	118	44	layer	layer	NOUN
alkej-9	118	45	of	of	ADP
alkej-9	118	46	the	the	DET
alkej-9	118	47	network	network	NOUN
alkej-9	118	48	.	.	PUNCT
alkej-9	119	1	the	the	DET
alkej-9	119	2	basis	basis	NOUN
alkej-9	119	3	used	use	VERB
alkej-9	119	4	in	in	ADP
alkej-9	119	5	wnn	wnn	PROPN
alkej-9	119	6	has	have	AUX
alkej-9	119	7	been	be	AUX
alkej-9	119	8	given	give	VERB
alkej-9	119	9	the	the	DET
alkej-9	119	10	name	name	NOUN
alkej-9	119	11	“	"	PUNCT
alkej-9	119	12	wavelons	wavelon	NOUN
alkej-9	119	13	”	"	PUNCT
alkej-9	119	14	[	[	X
alkej-9	119	15	3	3	NUM
alkej-9	119	16	]	]	PUNCT
alkej-9	119	17	.	.	PUNCT
alkej-9	120	1	these	these	DET
alkej-9	120	2	wavelons	wavelon	NOUN
alkej-9	120	3	produce	produce	VERB
alkej-9	120	4	a	a	DET
alkej-9	120	5	localized	localized	ADJ
alkej-9	120	6	response	response	NOUN
alkej-9	120	7	for	for	ADP
alkej-9	120	8	an	an	DET
alkej-9	120	9	input	input	NOUN
alkej-9	120	10	impulse	impulse	ADJ
alkej-9	120	11	.	.	PUNCT
alkej-9	121	1	that	that	PRON
alkej-9	121	2	is	is	ADV
alkej-9	121	3	,	,	PUNCT
alkej-9	121	4	they	they	PRON
alkej-9	121	5	produce	produce	VERB
alkej-9	121	6	a	a	DET
alkej-9	121	7	non	non	ADJ
alkej-9	121	8	-	-	ADJ
alkej-9	121	9	zero	zero	NUM
alkej-9	121	10	output	output	NOUN
alkej-9	121	11	when	when	SCONJ
alkej-9	121	12	the	the	DET
alkej-9	121	13	input	input	NOUN
alkej-9	121	14	lies	lie	VERB
alkej-9	121	15	within	within	ADP
alkej-9	121	16	a	a	DET
alkej-9	121	17	small	small	ADJ
alkej-9	121	18	area	area	NOUN
alkej-9	121	19	of	of	ADP
alkej-9	121	20	the	the	DET
alkej-9	121	21	input	input	NOUN
alkej-9	121	22	space	space	NOUN
alkej-9	121	23	.	.	PUNCT
alkej-9	122	1	o	o	X
alkej-9	123	1	o	o	X
alkej-9	123	2	o	o	X
alkej-9	123	3	σ	σ	NOUN
alkej-9	123	4	1	1	NUM
alkej-9	123	5	x1	x1	NUM
alkej-9	124	1	x2	x2	NOUN
alkej-9	124	2	xn	xn	PROPN
alkej-9	124	3	g(x	g(x	NOUN
alkej-9	124	4	)	)	PUNCT
alkej-9	124	5	w0	w0	PROPN
alkej-9	124	6	w1	w1	PROPN
alkej-9	124	7	w2	w2	PROPN
alkej-9	124	8	wn	wn	PROPN
alkej-9	124	9	hidden	hide	VERB
alkej-9	124	10	layer	layer	NOUN
alkej-9	124	11	figure	figure	NOUN
alkej-9	124	12	(	(	PUNCT
alkej-9	124	13	3	3	NUM
alkej-9	124	14	):	):	PUNCT
alkej-9	124	15	the	the	DET
alkej-9	124	16	proposed	propose	VERB
alkej-9	124	17	wavelet	wavelet	NOUN
alkej-9	124	18	network	network	NOUN
alkej-9	124	19	.	.	PUNCT
alkej-9	125	1	dr	dr	PROPN
alkej-9	125	2	.	.	PROPN
alkej-9	125	3	tarik	tarik	PROPN
alkej-9	125	4	zeyad	zeyad	PROPN
alkej-9	125	5	/	/	SYM
alkej-9	125	6	al	al	PROPN
alkej-9	125	7	-	-	PUNCT
alkej-9	125	8	khwarizmi	khwarizmi	PROPN
alkej-9	125	9	engineering	engineering	NOUN
alkej-9	125	10	journal	journal	PROPN
alkej-9	125	11	,	,	PUNCT
alkej-9	125	12	vol.1	vol.1	PROPN
alkej-9	125	13	,	,	PUNCT
alkej-9	125	14	no	no	INTJ
alkej-9	125	15	.	.	PUNCT
alkej-9	126	1	2,pp	2,pp	NUM
alkej-9	126	2	14	14	NUM
alkej-9	126	3	-	-	SYM
alkej-9	126	4	21	21	NUM
alkej-9	126	5	(	(	PUNCT
alkej-9	126	6	2005	2005	NUM
alkej-9	126	7	)	)	PUNCT
alkej-9	126	8	19	19	NUM
alkej-9	126	9	the	the	DET
alkej-9	126	10	wavelet	wavelet	NOUN
alkej-9	126	11	orthonormal	orthonormal	ADJ
alkej-9	126	12	basis	basis	NOUN
alkej-9	126	13	is	be	AUX
alkej-9	126	14	a	a	DET
alkej-9	126	15	set	set	NOUN
alkej-9	126	16	of	of	ADP
alkej-9	126	17	functions	function	NOUN
alkej-9	126	18	formed	form	VERB
alkej-9	126	19	by	by	ADP
alkej-9	126	20	the	the	DET
alkej-9	126	21	scaling	scaling	NOUN
alkej-9	126	22	and	and	CCONJ
alkej-9	126	23	translating	translate	VERB
alkej-9	126	24	the	the	DET
alkej-9	126	25	“	"	PUNCT
alkej-9	126	26	mortlet	mortlet	ADJ
alkej-9	126	27	”	"	PUNCT
alkej-9	126	28	mother	mother	NOUN
alkej-9	126	29	wavelets	wavelet	NOUN
alkej-9	126	30	are	be	AUX
alkej-9	126	31	used	use	VERB
alkej-9	126	32	to	to	PART
alkej-9	126	33	decompose	decompose	VERB
alkej-9	126	34	the	the	DET
alkej-9	126	35	input	input	NOUN
alkej-9	126	36	signal	signal	NOUN
alkej-9	126	37	under	under	ADP
alkej-9	126	38	analysis	analysis	NOUN
alkej-9	126	39	.	.	PUNCT
alkej-9	127	1	this	this	PRON
alkej-9	127	2	introduces	introduce	VERB
alkej-9	127	3	an	an	DET
alkej-9	127	4	additional	additional	ADJ
alkej-9	127	5	layer	layer	NOUN
alkej-9	127	6	in	in	ADP
alkej-9	127	7	neural	neural	ADJ
alkej-9	127	8	network	network	NOUN
alkej-9	127	9	model	model	NOUN
alkej-9	127	10	.	.	PUNCT
alkej-9	128	1	this	this	DET
alkej-9	128	2	layer	layer	NOUN
alkej-9	128	3	is	be	AUX
alkej-9	128	4	modified	modify	VERB
alkej-9	128	5	while	while	SCONJ
alkej-9	128	6	the	the	DET
alkej-9	128	7	teaching	teaching	NOUN
alkej-9	128	8	process	process	NOUN
alkej-9	128	9	is	be	AUX
alkej-9	128	10	in	in	ADP
alkej-9	128	11	progress	progress	NOUN
alkej-9	128	12	.	.	PUNCT
alkej-9	129	1	the	the	DET
alkej-9	129	2	properties	property	NOUN
alkej-9	129	3	of	of	ADP
alkej-9	129	4	wavelet	wavelet	NOUN
alkej-9	129	5	transform	transform	NOUN
alkej-9	129	6	emerging	emerge	VERB
alkej-9	129	7	from	from	ADP
alkej-9	129	8	a	a	DET
alkej-9	129	9	multi	multi	ADJ
alkej-9	129	10	-	-	ADJ
alkej-9	129	11	scale	scale	ADJ
alkej-9	129	12	decomposition	decomposition	NOUN
alkej-9	129	13	of	of	ADP
alkej-9	129	14	signals	signal	NOUN
alkej-9	129	15	[	[	X
alkej-9	129	16	4	4	NUM
alkej-9	129	17	]	]	PUNCT
alkej-9	129	18	,	,	PUNCT
alkej-9	129	19	allow	allow	VERB
alkej-9	129	20	the	the	DET
alkej-9	129	21	study	study	NOUN
alkej-9	129	22	of	of	ADP
alkej-9	129	23	both	both	CCONJ
alkej-9	129	24	stationary	stationary	ADJ
alkej-9	129	25	and	and	CCONJ
alkej-9	129	26	nonstationary	nonstationary	ADJ
alkej-9	129	27	signals	signal	NOUN
alkej-9	129	28	.	.	PUNCT
alkej-9	130	1	on	on	ADP
alkej-9	130	2	the	the	DET
alkej-9	130	3	other	other	ADJ
alkej-9	130	4	hand	hand	NOUN
alkej-9	130	5	the	the	DET
alkej-9	130	6	neural	neural	ADJ
alkej-9	130	7	network	network	NOUN
alkej-9	130	8	performs	perform	VERB
alkej-9	130	9	a	a	DET
alkej-9	130	10	stationary	stationary	ADJ
alkej-9	130	11	analysis	analysis	NOUN
alkej-9	130	12	of	of	ADP
alkej-9	130	13	nonlinear	nonlinear	NOUN
alkej-9	130	14	as	as	ADV
alkej-9	130	15	well	well	ADV
alkej-9	130	16	as	as	ADP
alkej-9	130	17	linear	linear	ADJ
alkej-9	130	18	dependencies	dependency	NOUN
alkej-9	130	19	due	due	ADJ
alkej-9	130	20	to	to	ADP
alkej-9	130	21	different	different	ADJ
alkej-9	130	22	possible	possible	ADJ
alkej-9	130	23	structures	structure	NOUN
alkej-9	130	24	and	and	CCONJ
alkej-9	130	25	activation	activation	NOUN
alkej-9	130	26	function	function	NOUN
alkej-9	130	27	.	.	PUNCT
alkej-9	131	1	the	the	DET
alkej-9	131	2	neurons	neuron	NOUN
alkej-9	131	3	of	of	ADP
alkej-9	131	4	the	the	DET
alkej-9	131	5	hidden	hide	VERB
alkej-9	131	6	layer	layer	NOUN
alkej-9	131	7	in	in	ADP
alkej-9	131	8	a	a	DET
alkej-9	131	9	neural	neural	ADJ
alkej-9	131	10	network	network	NOUN
alkej-9	131	11	have	have	VERB
alkej-9	131	12	wavelet	wavelet	NOUN
alkej-9	131	13	activation	activation	NOUN
alkej-9	131	14	functions	function	NOUN
alkej-9	131	15	of	of	ADP
alkej-9	131	16	different	different	ADJ
alkej-9	131	17	resolutions	resolution	NOUN
alkej-9	131	18	.	.	PUNCT
alkej-9	132	1	wavelets	wavelet	NOUN
alkej-9	132	2	are	be	AUX
alkej-9	132	3	used	use	VERB
alkej-9	132	4	as	as	ADP
alkej-9	132	5	activation	activation	NOUN
alkej-9	132	6	functions	function	NOUN
alkej-9	132	7	in	in	ADP
alkej-9	132	8	locally	locally	ADV
alkej-9	132	9	responsive	responsive	ADJ
alkej-9	132	10	units	unit	NOUN
alkej-9	132	11	.	.	PUNCT
alkej-9	133	1	a	a	DET
alkej-9	133	2	wavelet	wavelet	NOUN
alkej-9	133	3	network	network	NOUN
alkej-9	133	4	formed	form	VERB
alkej-9	133	5	is	be	AUX
alkej-9	133	6	formed	form	VERB
alkej-9	133	7	on	on	ADP
alkej-9	133	8	the	the	DET
alkej-9	133	9	basis	basis	NOUN
alkej-9	133	10	of	of	ADP
alkej-9	133	11	appropriate	appropriate	ADJ
alkej-9	133	12	basis	basis	NOUN
alkej-9	133	13	functions	function	NOUN
alkej-9	133	14	.	.	PUNCT
alkej-9	134	1	once	once	ADV
alkej-9	134	2	created	create	VERB
alkej-9	134	3	,	,	PUNCT
alkej-9	134	4	it	it	PRON
alkej-9	134	5	has	have	VERB
alkej-9	134	6	the	the	DET
alkej-9	134	7	capability	capability	NOUN
alkej-9	134	8	of	of	ADP
alkej-9	134	9	the	the	DET
alkej-9	134	10	approximating	approximate	VERB
alkej-9	134	11	any	any	DET
alkej-9	134	12	continuous	continuous	ADJ
alkej-9	134	13	nonlinear	nonlinear	ADJ
alkej-9	134	14	mapping	mapping	NOUN
alkej-9	134	15	to	to	ADP
alkej-9	134	16	any	any	DET
alkej-9	134	17	high	high	ADJ
alkej-9	134	18	resolution	resolution	NOUN
alkej-9	134	19	.	.	PUNCT
alkej-9	135	1	a	a	DET
alkej-9	135	2	simple	simple	ADJ
alkej-9	135	3	wavelet	wavelet	NOUN
alkej-9	135	4	neural	neural	ADJ
alkej-9	135	5	network	network	NOUN
alkej-9	135	6	displays	display	VERB
alkej-9	135	7	a	a	DET
alkej-9	135	8	much	much	ADV
alkej-9	135	9	higher	high	ADJ
alkej-9	135	10	level	level	NOUN
alkej-9	135	11	of	of	ADP
alkej-9	135	12	generalization	generalization	NOUN
alkej-9	135	13	and	and	CCONJ
alkej-9	135	14	shorter	short	ADJ
alkej-9	135	15	computing	computing	NOUN
alkej-9	135	16	time	time	NOUN
alkej-9	135	17	as	as	SCONJ
alkej-9	135	18	compared	compare	VERB
alkej-9	135	19	to	to	ADP
alkej-9	135	20	a	a	DET
alkej-9	135	21	three	three	NUM
alkej-9	135	22	-	-	PUNCT
alkej-9	135	23	layered	layer	VERB
alkej-9	135	24	feed	feed	NOUN
alkej-9	135	25	forward	forward	ADV
alkej-9	135	26	neural	neural	ADJ
alkej-9	135	27	network	network	NOUN
alkej-9	135	28	.	.	PUNCT
alkej-9	136	1	5	5	X
alkej-9	136	2	.	.	PUNCT
alkej-9	136	3	the	the	DET
alkej-9	136	4	phases	phase	NOUN
alkej-9	136	5	of	of	ADP
alkej-9	136	6	recognition	recognition	NOUN
alkej-9	136	7	process	process	NOUN
alkej-9	136	8	the	the	DET
alkej-9	136	9	recognition	recognition	NOUN
alkej-9	136	10	process	process	NOUN
alkej-9	136	11	contains	contain	VERB
alkej-9	136	12	two	two	NUM
alkej-9	136	13	phases	phase	NOUN
alkej-9	136	14	.	.	PUNCT
alkej-9	137	1	the	the	DET
alkej-9	137	2	first	first	ADJ
alkej-9	137	3	phase	phase	NOUN
alkej-9	137	4	is	be	AUX
alkej-9	137	5	the	the	DET
alkej-9	137	6	twelve	twelve	NUM
alkej-9	137	7	different	different	ADJ
alkej-9	137	8	faces	face	NOUN
alkej-9	137	9	were	be	AUX
alkej-9	137	10	used	use	VERB
alkej-9	137	11	during	during	ADP
alkej-9	137	12	the	the	DET
alkej-9	137	13	learning	learning	NOUN
alkej-9	137	14	phase	phase	NOUN
alkej-9	137	15	of	of	ADP
alkej-9	137	16	the	the	DET
alkej-9	137	17	recognition	recognition	NOUN
alkej-9	137	18	process	process	NOUN
alkej-9	137	19	.	.	PUNCT
alkej-9	138	1	each	each	DET
alkej-9	138	2	face	face	NOUN
alkej-9	138	3	provides	provide	VERB
alkej-9	138	4	the	the	DET
alkej-9	138	5	learning	learning	NOUN
alkej-9	138	6	process	process	NOUN
alkej-9	138	7	with	with	ADP
alkej-9	138	8	a	a	DET
alkej-9	138	9	twelve	twelve	NUM
alkej-9	138	10	elements	element	NOUN
alkej-9	138	11	data	datum	NOUN
alkej-9	138	12	vector	vector	NOUN
alkej-9	138	13	used	use	VERB
alkej-9	138	14	as	as	ADP
alkej-9	138	15	the	the	DET
alkej-9	138	16	input	input	NOUN
alkej-9	138	17	of	of	ADP
alkej-9	138	18	the	the	DET
alkej-9	138	19	learning	learn	VERB
alkej-9	138	20	wnn	wnn	NOUN
alkej-9	138	21	and	and	CCONJ
alkej-9	138	22	this	this	DET
alkej-9	138	23	vector	vector	NOUN
alkej-9	138	24	is	be	AUX
alkej-9	138	25	used	use	VERB
alkej-9	138	26	to	to	PART
alkej-9	138	27	calculate	calculate	VERB
alkej-9	138	28	the	the	DET
alkej-9	138	29	weights	weight	NOUN
alkej-9	138	30	of	of	ADP
alkej-9	138	31	the	the	DET
alkej-9	138	32	wavelet	wavelet	NOUN
alkej-9	138	33	network	network	NOUN
alkej-9	138	34	.	.	PUNCT
alkej-9	139	1	the	the	DET
alkej-9	139	2	data	data	NOUN
alkej-9	139	3	vector	vector	NOUN
alkej-9	139	4	represents	represent	VERB
alkej-9	139	5	the	the	DET
alkej-9	139	6	intensity	intensity	NOUN
alkej-9	139	7	of	of	ADP
alkej-9	139	8	eight	eight	NUM
alkej-9	139	9	different	different	ADJ
alkej-9	139	10	points	point	NOUN
alkej-9	139	11	in	in	ADP
alkej-9	139	12	the	the	DET
alkej-9	139	13	face	face	NOUN
alkej-9	139	14	plus	plus	CCONJ
alkej-9	139	15	the	the	DET
alkej-9	139	16	distance	distance	NOUN
alkej-9	139	17	between	between	ADP
alkej-9	139	18	the	the	DET
alkej-9	139	19	two	two	NUM
alkej-9	139	20	eyes	eye	NOUN
alkej-9	139	21	,	,	PUNCT
alkej-9	139	22	the	the	DET
alkej-9	139	23	distance	distance	NOUN
alkej-9	139	24	between	between	ADP
alkej-9	139	25	the	the	DET
alkej-9	139	26	two	two	NUM
alkej-9	139	27	ears	ear	NOUN
alkej-9	139	28	,	,	PUNCT
alkej-9	139	29	the	the	DET
alkej-9	139	30	distance	distance	NOUN
alkej-9	139	31	between	between	ADP
alkej-9	139	32	the	the	DET
alkej-9	139	33	end	end	NOUN
alkej-9	139	34	of	of	ADP
alkej-9	139	35	the	the	DET
alkej-9	139	36	nose	nose	NOUN
alkej-9	139	37	and	and	CCONJ
alkej-9	139	38	the	the	DET
alkej-9	139	39	mouth	mouth	NOUN
alkej-9	139	40	and	and	CCONJ
alkej-9	139	41	finally	finally	ADV
alkej-9	139	42	the	the	DET
alkej-9	139	43	total	total	ADJ
alkej-9	139	44	length	length	NOUN
alkej-9	139	45	of	of	ADP
alkej-9	139	46	the	the	DET
alkej-9	139	47	face	face	NOUN
alkej-9	139	48	.	.	PUNCT
alkej-9	140	1	these	these	DET
alkej-9	140	2	distances	distance	NOUN
alkej-9	140	3	were	be	AUX
alkej-9	140	4	all	all	PRON
alkej-9	140	5	normalized	normalize	VERB
alkej-9	140	6	according	accord	VERB
alkej-9	140	7	to	to	ADP
alkej-9	140	8	the	the	DET
alkej-9	140	9	total	total	ADJ
alkej-9	140	10	number	number	NOUN
alkej-9	140	11	of	of	ADP
alkej-9	140	12	pixels	pixel	NOUN
alkej-9	140	13	that	that	PRON
alkej-9	140	14	represents	represent	VERB
alkej-9	140	15	the	the	DET
alkej-9	140	16	face	face	NOUN
alkej-9	140	17	.	.	PUNCT
alkej-9	141	1	this	this	DET
alkej-9	141	2	normalization	normalization	NOUN
alkej-9	141	3	process	process	NOUN
alkej-9	141	4	is	be	AUX
alkej-9	141	5	made	make	VERB
alkej-9	141	6	in	in	ADP
alkej-9	141	7	order	order	NOUN
alkej-9	141	8	to	to	PART
alkej-9	141	9	have	have	AUX
alkej-9	141	10	a	a	DET
alkej-9	141	11	scale	scale	NOUN
alkej-9	141	12	independent	independent	ADJ
alkej-9	141	13	recognition	recognition	NOUN
alkej-9	141	14	process	process	NOUN
alkej-9	141	15	.	.	PUNCT
alkej-9	142	1	the	the	DET
alkej-9	142	2	second	second	ADJ
alkej-9	142	3	phase	phase	NOUN
alkej-9	142	4	of	of	ADP
alkej-9	142	5	the	the	DET
alkej-9	142	6	recognition	recognition	NOUN
alkej-9	142	7	process	process	NOUN
alkej-9	142	8	was	be	AUX
alkej-9	142	9	the	the	DET
alkej-9	142	10	test	test	NOUN
alkej-9	142	11	phase	phase	NOUN
alkej-9	142	12	.	.	PUNCT
alkej-9	143	1	in	in	ADP
alkej-9	143	2	this	this	DET
alkej-9	143	3	phase	phase	NOUN
alkej-9	143	4	the	the	DET
alkej-9	143	5	pictures	picture	NOUN
alkej-9	143	6	of	of	ADP
alkej-9	143	7	the	the	DET
alkej-9	143	8	twelve	twelve	NUM
alkej-9	143	9	different	different	ADJ
alkej-9	143	10	faces	face	NOUN
alkej-9	143	11	used	use	VERB
alkej-9	143	12	in	in	ADP
alkej-9	143	13	the	the	DET
alkej-9	143	14	test	test	NOUN
alkej-9	143	15	with	with	ADP
alkej-9	143	16	angle	angle	NOUN
alkej-9	143	17	of	of	ADP
alkej-9	143	18	rotation	rotation	NOUN
alkej-9	143	19	up	up	ADP
alkej-9	143	20	to	to	PART
alkej-9	143	21	40	40	NUM
alkej-9	143	22	%	%	NOUN
alkej-9	143	23	.	.	PUNCT
alkej-9	144	1	the	the	DET
alkej-9	144	2	recognition	recognition	NOUN
alkej-9	144	3	process	process	NOUN
alkej-9	144	4	gives	give	VERB
alkej-9	144	5	correct	correct	ADJ
alkej-9	144	6	results	result	NOUN
alkej-9	144	7	up	up	ADP
alkej-9	144	8	to	to	PART
alkej-9	144	9	30	30	NUM
alkej-9	144	10	%	%	NOUN
alkej-9	144	11	rotation	rotation	NOUN
alkej-9	144	12	.	.	PUNCT
alkej-9	145	1	between	between	ADP
alkej-9	145	2	30	30	NUM
alkej-9	145	3	%	%	NOUN
alkej-9	145	4	and	and	CCONJ
alkej-9	145	5	40	40	NUM
alkej-9	145	6	%	%	NOUN
alkej-9	145	7	rotation	rotation	NOUN
alkej-9	145	8	percent	percent	NOUN
alkej-9	145	9	only	only	ADV
alkej-9	145	10	two	two	NUM
alkej-9	145	11	of	of	ADP
alkej-9	145	12	the	the	DET
alkej-9	145	13	pictures	picture	NOUN
alkej-9	145	14	give	give	VERB
alkej-9	145	15	correct	correct	ADJ
alkej-9	145	16	results	result	NOUN
alkej-9	145	17	.	.	PUNCT
alkej-9	146	1	6	6	X
alkej-9	146	2	.	.	X
alkej-9	146	3	discussion	discussion	NOUN
alkej-9	146	4	in	in	ADP
alkej-9	146	5	this	this	DET
alkej-9	146	6	paper	paper	NOUN
alkej-9	146	7	the	the	DET
alkej-9	146	8	co	co	NOUN
alkej-9	146	9	-	-	NOUN
alkej-9	146	10	existence	existence	NOUN
alkej-9	146	11	of	of	ADP
alkej-9	146	12	neural	neural	ADJ
alkej-9	146	13	networks	network	NOUN
alkej-9	146	14	and	and	CCONJ
alkej-9	146	15	the	the	DET
alkej-9	146	16	wavelets	wavelet	NOUN
alkej-9	146	17	is	be	AUX
alkej-9	146	18	briefly	briefly	ADV
alkej-9	146	19	discussed	discuss	VERB
alkej-9	146	20	and	and	CCONJ
alkej-9	146	21	it	it	PRON
alkej-9	146	22	is	be	AUX
alkej-9	146	23	seen	see	VERB
alkej-9	146	24	how	how	SCONJ
alkej-9	146	25	the	the	DET
alkej-9	146	26	neural	neural	ADJ
alkej-9	146	27	network	network	NOUN
alkej-9	146	28	assist	assist	NOUN
alkej-9	146	29	choosing	choose	VERB
alkej-9	146	30	the	the	DET
alkej-9	146	31	optimal	optimal	ADJ
alkej-9	146	32	shape	shape	NOUN
alkej-9	146	33	of	of	ADP
alkej-9	146	34	the	the	DET
alkej-9	146	35	wavelet	wavelet	NOUN
alkej-9	146	36	.	.	PUNCT
alkej-9	147	1	the	the	DET
alkej-9	147	2	recognition	recognition	NOUN
alkej-9	147	3	process	process	NOUN
alkej-9	147	4	gives	give	VERB
alkej-9	147	5	good	good	ADJ
alkej-9	147	6	results	result	NOUN
alkej-9	147	7	with	with	ADP
alkej-9	147	8	a	a	DET
alkej-9	147	9	good	good	ADJ
alkej-9	147	10	degree	degree	NOUN
alkej-9	147	11	of	of	ADP
alkej-9	147	12	face	face	NOUN
alkej-9	147	13	rotation	rotation	NOUN
alkej-9	147	14	but	but	CCONJ
alkej-9	147	15	not	not	PART
alkej-9	147	16	more	more	ADJ
alkej-9	147	17	than	than	ADP
alkej-9	147	18	30	30	NUM
alkej-9	147	19	%	%	NOUN
alkej-9	147	20	degree	degree	NOUN
alkej-9	147	21	of	of	ADP
alkej-9	147	22	face	face	NOUN
alkej-9	147	23	rotation	rotation	NOUN
alkej-9	147	24	.	.	PUNCT
alkej-9	148	1	7	7	X
alkej-9	148	2	.	.	NUM
alkej-9	148	3	references	reference	NOUN
alkej-9	148	4	1	1	NUM
alkej-9	148	5	-	-	PUNCT
alkej-9	148	6	carpenter	carpenter	NOUN
alkej-9	148	7	,	,	PUNCT
alkej-9	148	8	g.	g.	PROPN
alkej-9	148	9	a.	a.	PROPN
alkej-9	148	10	,	,	PUNCT
alkej-9	148	11	“	"	PUNCT
alkej-9	148	12	wsom	wsom	NOUN
alkej-9	148	13	:	:	PUNCT
alkej-9	148	14	building	build	VERB
alkej-9	148	15	adaptive	adaptive	ADJ
alkej-9	148	16	wavelets	wavelet	NOUN
alkej-9	148	17	with	with	ADP
alkej-9	148	18	selforganizing	selforganize	VERB
alkej-9	148	19	maps	map	NOUN
alkej-9	148	20	”	"	PUNCT
alkej-9	148	21	,	,	PUNCT
alkej-9	148	22	the	the	DET
alkej-9	148	23	1998	1998	NUM
alkej-9	148	24	ieee	ieee	NOUN
alkej-9	148	25	international	international	PROPN
alkej-9	148	26	joints	joint	NOUN
alkej-9	148	27	conference	conference	PROPN
alkej-9	148	28	,	,	PUNCT
alkej-9	148	29	vol	vol	NOUN
alkej-9	148	30	.	.	PROPN
alkej-9	149	1	1	1	NUM
alkej-9	149	2	,	,	PUNCT
alkej-9	149	3	pp	pp	ADJ
alkej-9	149	4	.	.	PUNCT
alkej-9	150	1	763	763	NUM
alkej-9	150	2	-	-	SYM
alkej-9	150	3	767	767	NUM
alkej-9	150	4	.	.	PUNCT
alkej-9	151	1	2	2	NUM
alkej-9	151	2	-	-	PUNCT
alkej-9	151	3	dongwook	dongwook	NOUN
alkej-9	151	4	,	,	PUNCT
alkej-9	151	5	c.	c.	NOUN
alkej-9	151	6	,	,	PUNCT
alkej-9	151	7	“	"	PUNCT
alkej-9	151	8	face	face	NOUN
alkej-9	151	9	recognition	recognition	NOUN
alkej-9	151	10	system	system	NOUN
alkej-9	151	11	based	base	VERB
alkej-9	151	12	on	on	ADP
alkej-9	151	13	wavelet	wavelet	NOUN
alkej-9	151	14	transform	transform	NOUN
alkej-9	151	15	”	"	PUNCT
alkej-9	151	16	,	,	PUNCT
alkej-9	151	17	department	department	NOUN
alkej-9	151	18	of	of	ADP
alkej-9	151	19	computer	computer	NOUN
alkej-9	151	20	science	science	PROPN
alkej-9	151	21	,	,	PUNCT
alkej-9	151	22	concordia	concordia	PROPN
alkej-9	151	23	university	university	PROPN
alkej-9	151	24	,	,	PUNCT
alkej-9	151	25	2003	2003	NUM
alkej-9	151	26	.	.	PUNCT
alkej-9	152	1	3	3	NUM
alkej-9	152	2	-	-	PUNCT
alkej-9	152	3	po	po	NOUN
alkej-9	152	4	-	-	PUNCT
alkej-9	152	5	rong	rong	PROPN
alkej-9	152	6	,	,	PUNCT
alkej-9	152	7	c.	c.	PROPN
alkej-9	152	8	,	,	PUNCT
alkej-9	152	9	bao	bao	PROPN
alkej-9	152	10	,	,	PUNCT
alkej-9	152	11	f.	f.	PROPN
alkej-9	152	12	,	,	PUNCT
alkej-9	152	13	“	"	PUNCT
alkej-9	152	14	nonlinear	nonlinear	ADJ
alkej-9	152	15	computation	computation	NOUN
alkej-9	152	16	channel	channel	NOUN
alkej-9	152	17	equalization	equalization	NOUN
alkej-9	152	18	using	use	VERB
alkej-9	152	19	wavelet	wavelet	NOUN
alkej-9	152	20	neural	neural	ADJ
alkej-9	152	21	networks	network	NOUN
alkej-9	152	22	”	"	PUNCT
alkej-9	152	23	,	,	PUNCT
alkej-9	152	24	the	the	DET
alkej-9	152	25	ieee	ieee	PROPN
alkej-9	152	26	international	international	PROPN
alkej-9	152	27	conference	conference	NOUN
alkej-9	152	28	on	on	ADP
alkej-9	152	29	computational	computational	ADJ
alkej-9	152	30	intelligence	intelligence	NOUN
alkej-9	152	31	,	,	PUNCT
alkej-9	152	32	vol	vol	NOUN
alkej-9	152	33	.	.	PUNCT
alkej-9	153	1	(	(	PUNCT
alkej-9	153	2	6	6	NUM
alkej-9	153	3	)	)	PUNCT
alkej-9	153	4	,	,	PUNCT
alkej-9	153	5	pp	pp	ADP
alkej-9	153	6	.	.	PUNCT
alkej-9	154	1	36o5	36o5	NUM
alkej-9	154	2	-	-	SYM
alkej-9	154	3	3610	3610	NUM
alkej-9	154	4	,	,	PUNCT
alkej-9	154	5	1994	1994	NUM
alkej-9	154	6	.	.	PUNCT
alkej-9	155	1	4	4	NUM
alkej-9	155	2	-	-	PUNCT
alkej-9	155	3	kostka	kostka	PROPN
alkej-9	155	4	,	,	PUNCT
alkej-9	155	5	p.	p.	NOUN
alkej-9	155	6	,	,	PUNCT
alkej-9	155	7	tkacz	tkacz	NOUN
alkej-9	155	8	,	,	PUNCT
alkej-9	155	9	e.	e.	PROPN
alkej-9	155	10	j.	j.	PROPN
alkej-9	155	11	,	,	PUNCT
alkej-9	155	12	naeral	naeral	PROPN
alkej-9	155	13	,	,	PUNCT
alkej-9	155	14	z.	z.	PROPN
alkej-9	155	15	,	,	PUNCT
alkej-9	155	16	and	and	CCONJ
alkej-9	155	17	malota	malota	PROPN
alkej-9	155	18	,	,	PUNCT
alkej-9	155	19	z.	z.	PROPN
alkej-9	155	20	,	,	PUNCT
alkej-9	155	21	“	"	PUNCT
alkej-9	155	22	an	an	DET
alkej-9	155	23	application	application	NOUN
alkej-9	155	24	of	of	ADP
alkej-9	155	25	wavelet	wavelet	NOUN
alkej-9	155	26	neural	neural	ADJ
alkej-9	155	27	network	network	NOUN
alkej-9	155	28	(	(	PUNCT
alkej-9	155	29	wnn	wnn	PROPN
alkej-9	155	30	)	)	PUNCT
alkej-9	155	31	for	for	ADP
alkej-9	155	32	heart	heart	NOUN
alkej-9	155	33	value	value	NOUN
alkej-9	155	34	prostheses	prosthesis	NOUN
alkej-9	155	35	dr	dr	PROPN
alkej-9	155	36	.	.	PROPN
alkej-9	155	37	tarik	tarik	PROPN
alkej-9	155	38	zeyad	zeyad	PROPN
alkej-9	155	39	/	/	SYM
alkej-9	155	40	al	al	PROPN
alkej-9	155	41	-	-	PUNCT
alkej-9	155	42	khwarizmi	khwarizmi	PROPN
alkej-9	155	43	engineering	engineering	NOUN
alkej-9	155	44	journal	journal	PROPN
alkej-9	155	45	,	,	PUNCT
alkej-9	155	46	vol.1	vol.1	PROPN
alkej-9	155	47	,	,	PUNCT
alkej-9	155	48	no	no	INTJ
alkej-9	155	49	.	.	PUNCT
alkej-9	156	1	2,pp	2,pp	NUM
alkej-9	156	2	14	14	NUM
alkej-9	156	3	-	-	SYM
alkej-9	156	4	21	21	NUM
alkej-9	156	5	(	(	PUNCT
alkej-9	156	6	2005	2005	NUM
alkej-9	156	7	)	)	PUNCT
alkej-9	156	8	20	20	NUM
alkej-9	156	9	characteristics	characteristic	NOUN
alkej-9	156	10	”	"	PUNCT
alkej-9	156	11	,	,	PUNCT
alkej-9	156	12	ieee	ieee	NOUN
alkej-9	156	13	,	,	PUNCT
alkej-9	156	14	engineering	engineering	NOUN
alkej-9	156	15	in	in	ADP
alkej-9	156	16	medicine	medicine	NOUN
alkej-9	156	17	and	and	CCONJ
alkej-9	156	18	biology	biology	NOUN
alkej-9	156	19	society	society	NOUN
alkej-9	156	20	,	,	PUNCT
alkej-9	156	21	vol	vol	NOUN
alkej-9	156	22	.	.	PUNCT
alkej-9	157	1	(	(	PUNCT
alkej-9	157	2	4	4	NUM
alkej-9	157	3	)	)	PUNCT
alkej-9	157	4	,	,	PUNCT
alkej-9	157	5	pp	pp	ADJ
alkej-9	157	6	.	.	PUNCT
alkej-9	158	1	2463	2463	NUM
alkej-9	158	2	-	-	SYM
alkej-9	158	3	2465	2465	NUM
alkej-9	158	4	,	,	PUNCT
alkej-9	158	5	2000	2000	NUM
alkej-9	158	6	.	.	PUNCT
alkej-9	159	1	5	5	NUM
alkej-9	159	2	-	-	PUNCT
alkej-9	159	3	vetterli	vetterli	ADJ
alkej-9	159	4	,	,	PUNCT
alkej-9	159	5	m.	m.	NOUN
alkej-9	159	6	and	and	CCONJ
alkej-9	159	7	herely	herely	ADV
alkej-9	159	8	,	,	PUNCT
alkej-9	159	9	c.	c.	NOUN
alkej-9	159	10	,	,	PUNCT
alkej-9	159	11	“	"	PUNCT
alkej-9	159	12	wavelets	wavelet	NOUN
alkej-9	159	13	and	and	CCONJ
alkej-9	159	14	filter	filter	NOUN
alkej-9	159	15	banks	bank	NOUN
alkej-9	159	16	:	:	PUNCT
alkej-9	159	17	theory	theory	NOUN
alkej-9	159	18	and	and	CCONJ
alkej-9	159	19	design	design	PROPN
alkej-9	159	20	”	"	PUNCT
alkej-9	159	21	,	,	PUNCT
alkej-9	159	22	2003	2003	NUM
alkej-9	159	23	.	.	PUNCT
alkej-9	160	1	the	the	DET
alkej-9	160	2	ieee	ieee	PROPN
alkej-9	160	3	international	international	PROPN
alkej-9	160	4	conference	conference	NOUN
alkej-9	160	5	on	on	ADP
alkej-9	160	6	computational	computational	ADJ
alkej-9	160	7	intelligence	intelligence	NOUN
alkej-9	160	8	,	,	PUNCT
alkej-9	160	9	vol	vol	NOUN
alkej-9	160	10	.	.	PUNCT
alkej-9	161	1	(	(	PUNCT
alkej-9	161	2	6	6	NUM
alkej-9	161	3	)	)	PUNCT
alkej-9	161	4	,	,	PUNCT
alkej-9	161	5	pp	pp	ADJ
alkej-9	161	6	.	.	PUNCT
alkej-9	162	1	2207	2207	NUM
alkej-9	162	2	-	-	SYM
alkej-9	162	3	2232	2232	NUM
alkej-9	162	4	,	,	PUNCT
alkej-9	162	5	1994	1994	NUM
alkej-9	162	6	.	.	PUNCT
alkej-9	163	1	dr	dr	PROPN
alkej-9	163	2	.	.	PROPN
alkej-9	163	3	tarik	tarik	PROPN
alkej-9	163	4	zeyad	zeyad	PROPN
alkej-9	163	5	/	/	SYM
alkej-9	163	6	al	al	PROPN
alkej-9	163	7	-	-	PUNCT
alkej-9	163	8	khwarizmi	khwarizmi	PROPN
alkej-9	163	9	engineering	engineering	NOUN
alkej-9	163	10	journal	journal	PROPN
alkej-9	163	11	,	,	PUNCT
alkej-9	163	12	vol.1	vol.1	PROPN
alkej-9	163	13	,	,	PUNCT
alkej-9	163	14	no	no	INTJ
alkej-9	163	15	.	.	PUNCT
alkej-9	164	1	2,pp	2,pp	NUM
alkej-9	164	2	14	14	NUM
alkej-9	164	3	-	-	SYM
alkej-9	164	4	21	21	NUM
alkej-9	164	5	(	(	PUNCT
alkej-9	164	6	2005	2005	NUM
alkej-9	164	7	)	)	PUNCT
alkej-9	164	8	21	21	NUM
alkej-9	164	9	تمييز	تمييز	NOUN
alkej-9	164	10	الوجه	الوجه	ADJ
alkej-9	164	11	البشري	البشري	ADJ
alkej-9	164	12	باستخدام	باستخدام	PROPN
alkej-9	164	13	تحويل	تحويل	PROPN
alkej-9	164	14	المويجة	المويجة	PROPN
alkej-9	164	15	طارق	طارق	PROPN
alkej-9	164	16	زياد	زياد	VERB
alkej-9	164	17	.	.	PUNCT
alkej-9	165	1	د	د	DET
alkej-9	165	2	كلیة	كلیة	PROPN
alkej-9	165	3	الھندسة	الھندسة	NOUN
alkej-9	165	4	/	/	SYM
alkej-9	165	5	قسم	قسم	PROPN
alkej-9	165	6	الھندسة	الھندسة	PROPN
alkej-9	165	7	الكھربائیة	الكھربائیة	PROPN
alkej-9	165	8	جامعة	جامعة	PROPN
alkej-9	165	9	بغداد	بغداد	PROPN
alkej-9	165	10	:	:	PUNCT
alkej-9	165	11	الخالصة	الخالصة	PROPN
alkej-9	165	12	باستعمال	باستعمال	PROPN
alkej-9	165	13	التحويل	التحويل	PROPN
alkej-9	165	14	المويجي	المويجي	PROPN
alkej-9	165	15	مع	مع	PROPN
alkej-9	165	16	الشبكات	الشبكات	PROPN
alkej-9	165	17	العصبية	العصبية	PROPN
alkej-9	165	18	هتم	هتم	NOUN
alkej-9	165	19	في	في	SCONJ
alkej-9	165	20	هذا	هذا	NOUN
alkej-9	165	21	البحث	البحث	NOUN
alkej-9	165	22	بناء	بناء	ADP
alkej-9	165	23	منظومة	منظومة	PROPN
alkej-9	165	24	لتمييز	لتمييز	NOUN
alkej-9	165	25	األوج	األوج	ADJ
alkej-9	165	26	هذا	هذا	NOUN
alkej-9	165	27	النوع	النوع	PROPN
alkej-9	165	28	من	من	DET
alkej-9	165	29	الشبكات	الشبكات	NOUN
alkej-9	165	30	تتعامل	تتعامل	NOUN
alkej-9	165	31	مع	مع	PROPN
alkej-9	165	32	التحويل	التحويل	PROPN
alkej-9	165	33	المويجي	المويجي	PROPN
alkej-9	165	34	المتقطـع	المتقطـع	PROPN
alkej-9	165	35	كمصـدر	كمصـدر	NOUN
alkej-9	165	36	.	.	PUNCT
alkej-9	166	1	من	من	DET
alkej-9	166	2	النوع	النوع	PROPN
alkej-9	166	3	ذات	ذات	NOUN
alkej-9	166	4	التنظيم	التنظيم	PROPN
alkej-9	166	5	الذاتي	الذاتي	NOUN
alkej-9	166	6	لها	لها	NOUN
alkej-9	166	7	الشبكة	الشبكة	PROPN
alkej-9	166	8	حيث	حيث	PROPN
alkej-9	166	9	يتم	يتم	PROPN
alkej-9	166	10	استعمال	استعمال	PROPN
alkej-9	166	11	مكونات	مكونات	PROPN
alkej-9	166	12	تحويل	تحويل	PROPN
alkej-9	166	13	المويجة	المويجة	PROPN
alkej-9	166	14	كدوال	كدوال	PROPN
alkej-9	166	15	تحفيز	تحفيز	PROPN
alkej-9	166	16	فـي	فـي	PROPN
alkej-9	167	1	داخـل	داخـل	PROPN
alkej-9	167	2	للبيانات	للبيانات	PROPN
alkej-9	167	3	التي	التي	PROPN
alkej-9	167	4	يتم	يتم	PROPN
alkej-9	167	5	إدخا	إدخا	INTJ
alkej-9	167	6	.الشبكة	.الشبكة	PUNCT