id	sid	tid	token	lemma	pos
alkej-350	1	1	62	62	NUM
alkej-350	1	2	-	-	SYM
alkej-350	1	3	69محمود	69محمود	NUM
alkej-350	1	4	وسامر	وسامر	PROPN
alkej-350	1	5	al	al	PROPN
alkej-350	1	6	-	-	PUNCT
alkej-350	1	7	khwarizmi	khwarizmi	PROPN
alkej-350	1	8	engineering	engineering	NOUN
alkej-350	1	9	journal	journal	PROPN
alkej-350	1	10	,	,	PUNCT
alkej-350	1	11	vol	vol	NOUN
alkej-350	1	12	.	.	PROPN
alkej-350	1	13	13	13	NUM
alkej-350	1	14	,	,	PUNCT
alkej-350	1	15	no	no	INTJ
alkej-350	1	16	.	.	NOUN
alkej-350	1	17	1	1	NUM
alkej-350	1	18	,	,	PUNCT
alkej-350	1	19	p.p	p.p	PROPN
alkej-350	1	20	.	.	PROPN
alkej-350	1	21	proposed	propose	VERB
alkej-350	1	22	hybrid	hybrid	NOUN
alkej-350	1	23	sparse	sparse	ADJ
alkej-350	1	24	adaptive	adaptive	ADJ
alkej-350	1	25	algorithms	algorithm	NOUN
alkej-350	1	26	for	for	ADP
alkej-350	1	27	system	system	NOUN
alkej-350	1	28	mahmood	mahmood	PROPN
alkej-350	1	29	a.	a.	PROPN
alkej-350	1	30	k	k	PROPN
alkej-350	1	31	abdulsattar	abdulsattar	PROPN
alkej-350	1	32	*	*	PUNCT
alkej-350	1	33	,	,	PUNCT
alkej-350	1	34	*	*	PUNCT
alkej-350	1	35	*	*	NOUN
alkej-350	1	36	department	department	NOUN
alkej-350	1	37	of	of	ADP
alkej-350	1	38	electrical	electrical	ADJ
alkej-350	1	39	engineering	engineering	NOUN
alkej-350	1	40	*	*	PUNCT
alkej-350	1	41	email:mahmood.abdulsattar@googlemail.com	email:mahmood.abdulsattar@googlemail.com	X
alkej-350	1	42	*	*	PUNCT
alkej-350	1	43	*	*	NOUN
alkej-350	1	44	email	email	NOUN
alkej-350	1	45	:	:	PUNCT
alkej-350	1	46	(	(	PUNCT
alkej-350	1	47	received	receive	VERB
alkej-350	1	48	29	29	NUM
alkej-350	1	49	august	august	PROPN
alkej-350	1	50	https://doi.org/10.22153/kej.2017.12.003	https://doi.org/10.22153/kej.2017.12.003	PROPN
alkej-350	1	51	abstract	abstract	NOUN
alkej-350	1	52	for	for	ADP
alkej-350	1	53	sparse	sparse	ADJ
alkej-350	1	54	system	system	NOUN
alkej-350	1	55	identification	identification	NOUN
alkej-350	1	56	,	,	PUNCT
alkej-350	1	57	recent	recent	ADJ
alkej-350	1	58	suggested	suggest	VERB
alkej-350	1	59	algorithms	algorithm	NOUN
alkej-350	1	60	are	be	AUX
alkej-350	1	61	attracting	attract	VERB
alkej-350	1	62	lms	lm	NOUN
alkej-350	1	63	(	(	PUNCT
alkej-350	1	64	za	za	NOUN
alkej-350	1	65	-	-	NOUN
alkej-350	1	66	lms	lm	NOUN
alkej-350	1	67	)	)	PUNCT
alkej-350	1	68	,	,	PUNCT
alkej-350	1	69	reweighted	reweighte	VERB
alkej-350	1	70	zerohave	zerohave	NOUN
alkej-350	1	71	modified	modify	VERB
alkej-350	1	72	the	the	DET
alkej-350	1	73	cost	cost	NOUN
alkej-350	1	74	function	function	NOUN
alkej-350	1	75	of	of	ADP
alkej-350	1	76	the	the	DET
alkej-350	1	77	conventional	conventional	ADJ
alkej-350	1	78	lms	lm	NOUN
alkej-350	1	79	algorithm	algorithm	NOUN
alkej-350	1	80	by	by	ADP
alkej-350	1	81	adding	add	VERB
alkej-350	1	82	a	a	DET
alkej-350	1	83	constraint	constraint	NOUN
alkej-350	1	84	of	of	ADP
alkej-350	1	85	coefficients	coefficient	NOUN
alkej-350	1	86	sparsity	sparsity	NOUN
alkej-350	1	87	.	.	PUNCT
alkej-350	2	1	and	and	CCONJ
alkej-350	2	2	so	so	ADV
alkej-350	2	3	,	,	PUNCT
alkej-350	2	4	the	the	DET
alkej-350	2	5	proposed	propose	VERB
alkej-350	2	6	algorithms	algorithm	NOUN
alkej-350	2	7	are	be	AUX
alkej-350	2	8	named	name	VERB
alkej-350	2	9	ℓ	ℓ	NUM
alkej-350	2	10	�	�	PROPN
alkej-350	2	11	-za	-za	NOUN
alkej-350	2	12	merging	merge	VERB
alkej-350	2	13	twoconstraints	twoconstraint	NOUN
alkej-350	2	14	from	from	ADP
alkej-350	2	15	previous	previous	ADJ
alkej-350	2	16	algorithms	algorithm	NOUN
alkej-350	2	17	to	to	PART
alkej-350	2	18	improve	improve	VERB
alkej-350	2	19	theconvergence	theconvergence	NOUN
alkej-350	2	20	rate	rate	NOUN
alkej-350	2	21	system	system	NOUN
alkej-350	2	22	.	.	PUNCT
alkej-350	3	1	in	in	ADP
alkej-350	3	2	this	this	DET
alkej-350	3	3	paper	paper	NOUN
alkej-350	3	4	,	,	PUNCT
alkej-350	3	5	a	a	DET
alkej-350	3	6	complete	complete	ADJ
alkej-350	3	7	analysis	analysis	NOUN
alkej-350	3	8	was	be	AUX
alkej-350	3	9	done	do	VERB
alkej-350	3	10	gaussian	gaussian	ADJ
alkej-350	3	11	sequence	sequence	NOUN
alkej-350	3	12	for	for	ADP
alkej-350	3	13	input	input	NOUN
alkej-350	3	14	signal	signal	NOUN
alkej-350	3	15	.	.	PUNCT
alkej-350	4	1	the	the	DET
alkej-350	4	2	discuss	discuss	ADJ
alkej-350	4	3	algorithms	algorithm	NOUN
alkej-350	4	4	and	and	CCONJ
alkej-350	4	5	system	system	NOUN
alkej-350	4	6	sparsity	sparsity	NOUN
alkej-350	4	7	was	be	AUX
alkej-350	4	8	observed	observe	VERB
alkej-350	4	9	.	.	PUNCT
alkej-350	5	1	in	in	ADP
alkej-350	5	2	addition	addition	NOUN
alkej-350	5	3	and	and	CCONJ
alkej-350	5	4	the	the	DET
alkej-350	5	5	last	last	ADJ
alkej-350	5	6	recent	recent	ADJ
alkej-350	5	7	algorithms	algorithm	NOUN
alkej-350	5	8	were	be	AUX
alkej-350	5	9	presented	present	VERB
alkej-350	5	10	and	and	CCONJ
alkej-350	5	11	the	the	DET
alkej-350	5	12	necessary	necessary	ADJ
alkej-350	5	13	conditions	condition	NOUN
alkej-350	5	14	to	to	PART
alkej-350	5	15	improve	improve	VERB
alkej-350	5	16	convergence	convergence	NOUN
alkej-350	5	17	rate	rate	NOUN
alkej-350	5	18	.	.	PUNCT
alkej-350	6	1	finally	finally	ADV
alkej-350	6	2	,	,	PUNCT
alkej-350	6	3	the	the	DET
alkej-350	6	4	results	result	NOUN
alkej-350	6	5	presented	present	VERB
alkej-350	6	6	to	to	PART
alkej-350	6	7	match	match	VERB
alkej-350	6	8	closely	closely	ADV
alkej-350	6	9	by	by	ADP
alkej-350	6	10	a	a	DET
alkej-350	6	11	wide	wide	ADJ
alkej-350	6	12	-	-	PUNCT
alkej-350	6	13	range	range	NOUN
alkej-350	6	14	of	of	ADP
alkej-350	6	15	parameters	parameter	NOUN
alkej-350	6	16	.	.	PUNCT
alkej-350	7	1	keywords	keyword	NOUN
alkej-350	7	2	:	:	PUNCT
alkej-350	7	3	adaptive	adaptive	ADJ
alkej-350	7	4	filter	filter	NOUN
alkej-350	7	5	,	,	PUNCT
alkej-350	7	6	ℓ	ℓ	NOUN
alkej-350	7	7	�	�	NOUN
alkej-350	7	8	-lms	-lm	NOUN
alkej-350	7	9	,	,	PUNCT
alkej-350	7	10	zero	zero	NUM
alkej-350	7	11	-	-	PUNCT
alkej-350	7	12	attracting	attract	VERB
alkej-350	7	13	,	,	PUNCT
alkej-350	7	14	p	p	NOUN
alkej-350	7	15	1	1	NUM
alkej-350	7	16	.	.	PUNCT
alkej-350	8	1	introduction	introduction	NOUN
alkej-350	8	2	adaptive	adaptive	ADJ
alkej-350	8	3	filtering	filtering	NOUN
alkej-350	8	4	is	be	AUX
alkej-350	8	5	a	a	DET
alkej-350	8	6	difficult	difficult	ADJ
alkej-350	8	7	problem	problem	NOUN
alkej-350	8	8	when	when	SCONJ
alkej-350	8	9	the	the	DET
alkej-350	8	10	involved	involved	ADJ
alkej-350	8	11	impulse	impulse	ADJ
alkej-350	8	12	response	response	NOUN
alkej-350	8	13	is	be	AUX
alkej-350	8	14	sparse	sparse	ADJ
alkej-350	8	15	.	.	PUNCT
alkej-350	9	1	least	least	ADJ
alkej-350	9	2	mean	mean	VERB
alkej-350	9	3	square	square	ADJ
alkej-350	9	4	(	(	PUNCT
alkej-350	9	5	lms	lm	NOUN
alkej-350	9	6	)	)	PUNCT
alkej-350	9	7	algorithm	algorithm	NOUN
alkej-350	9	8	used	use	VERB
alkej-350	9	9	in	in	ADP
alkej-350	9	10	many	many	ADJ
alkej-350	9	11	applications	application	NOUN
alkej-350	9	12	for	for	ADP
alkej-350	9	13	example	example	NOUN
alkej-350	9	14	system	system	NOUN
alkej-350	9	15	identification	identification	NOUN
alkej-350	9	16	,	,	PUNCT
alkej-350	9	17	echo	echo	NOUN
alkej-350	9	18	cancelation	cancelation	NOUN
alkej-350	9	19	,	,	PUNCT
alkej-350	9	20	and	and	CCONJ
alkej-350	9	21	channel	channel	NOUN
alkej-350	9	22	equalization	equalization	NOUN
alkej-350	9	23	,	,	PUNCT
alkej-350	9	24	due	due	ADP
alkej-350	9	25	to	to	ADP
alkej-350	9	26	its	its	PRON
alkej-350	9	27	easy	easy	ADJ
alkej-350	9	28	implementation	implementation	NOUN
alkej-350	9	29	,	,	PUNCT
alkej-350	9	30	good	good	ADJ
alkej-350	9	31	performance	performance	NOUN
alkej-350	9	32	,	,	PUNCT
alkej-350	9	33	and	and	CCONJ
alkej-350	9	34	high	high	ADJ
alkej-350	9	35	robustness	robustness	NOUN
alkej-350	9	36	,	,	PUNCT
alkej-350	9	37	[	[	X
alkej-350	9	38	1–3	1–3	NOUN
alkej-350	9	39	]	]	X
alkej-350	9	40	.	.	PUNCT
alkej-350	10	1	the	the	DET
alkej-350	10	2	impulse	impulse	ADJ
alkej-350	10	3	response	response	NOUN
alkej-350	10	4	of	of	ADP
alkej-350	10	5	a	a	DET
alkej-350	10	6	sparse	sparse	ADJ
alkej-350	10	7	system	system	NOUN
alkej-350	10	8	contains	contain	VERB
alkej-350	10	9	many	many	ADJ
alkej-350	10	10	zeros	zero	NOUN
alkej-350	10	11	or	or	CCONJ
alkej-350	10	12	near	near	ADV
alkej-350	10	13	-	-	PUNCT
alkej-350	10	14	zero	zero	NUM
alkej-350	10	15	coefficients	coefficient	NOUN
alkej-350	10	16	and	and	CCONJ
alkej-350	10	17	few	few	ADJ
alkej-350	10	18	large	large	ADJ
alkej-350	10	19	ones	one	NOUN
alkej-350	10	20	[	[	X
alkej-350	10	21	4	4	NUM
alkej-350	10	22	]	]	PUNCT
alkej-350	10	23	.	.	PUNCT
alkej-350	11	1	for	for	ADP
alkej-350	11	2	this	this	DET
alkej-350	11	3	system	system	NOUN
alkej-350	11	4	,	,	PUNCT
alkej-350	11	5	the	the	DET
alkej-350	11	6	conventional	conventional	ADJ
alkej-350	11	7	lms	lm	NOUN
alkej-350	11	8	not	not	PART
alkej-350	11	9	ever	ever	ADV
alkej-350	11	10	takes	take	VERB
alkej-350	11	11	improvement	improvement	NOUN
alkej-350	11	12	of	of	ADP
alkej-350	11	13	the	the	DET
alkej-350	11	14	sparsity	sparsity	NOUN
alkej-350	11	15	.	.	PUNCT
alkej-350	12	1	in	in	ADP
alkej-350	12	2	latest	late	ADJ
alkej-350	12	3	years	year	NOUN
alkej-350	12	4	,	,	PUNCT
alkej-350	12	5	a	a	DET
alkej-350	12	6	number	number	NOUN
alkej-350	12	7	of	of	ADP
alkej-350	12	8	algorithms	algorithm	NOUN
alkej-350	12	9	suggested	suggest	VERB
alkej-350	12	10	depend	depend	VERB
alkej-350	12	11	on	on	ADP
alkej-350	12	12	lms	lm	NOUN
alkej-350	12	13	to	to	ADP
alkej-350	12	14	the	the	DET
alkej-350	12	15	feature	feature	NOUN
alkej-350	12	16	of	of	ADP
alkej-350	12	17	sparsity	sparsity	NOUN
alkej-350	12	18	.	.	PUNCT
alkej-350	13	1	the	the	DET
alkej-350	13	2	proportionate	proportionate	ADJ
alkej-350	13	3	nlms(pnlms	nlms(pnlm	NOUN
alkej-350	13	4	)	)	PUNCT
alkej-350	13	5	algorithm	algorithm	NOUN
alkej-350	13	6	and	and	CCONJ
alkej-350	13	7	its	its	PRON
alkej-350	13	8	improved	improve	VERB
alkej-350	13	9	which	which	PRON
alkej-350	13	10	use	use	VERB
alkej-350	13	11	the	the	DET
alkej-350	13	12	individual	individual	ADJ
alkej-350	13	13	step	step	NOUN
alkej-350	13	14	size	size	NOUN
alkej-350	13	15	with	with	ADP
alkej-350	13	16	respect	respect	NOUN
alkej-350	13	17	coefficients	coefficient	NOUN
alkej-350	13	18	of	of	ADP
alkej-350	13	19	filter	filter	NOUN
alkej-350	13	20	in	in	ADP
alkej-350	13	21	proportional	proportional	NOUN
alkej-350	13	22	to	to	PART
alkej-350	13	23	improve	improve	VERB
alkej-350	13	24	khwarizmi	khwarizmi	NOUN
alkej-350	13	25	engineering	engineering	NOUN
alkej-350	13	26	journal	journal	PROPN
alkej-350	13	27	,	,	PUNCT
alkej-350	13	28	vol	vol	NOUN
alkej-350	13	29	.	.	PROPN
alkej-350	13	30	13	13	NUM
alkej-350	13	31	,	,	PUNCT
alkej-350	13	32	no	no	INTJ
alkej-350	13	33	.	.	NOUN
alkej-350	13	34	1	1	NUM
alkej-350	13	35	,	,	PUNCT
alkej-350	13	36	p.p	p.p	PROPN
alkej-350	13	37	.	.	NOUN
alkej-350	13	38	6269	6269	NUM
alkej-350	13	39	(	(	PUNCT
alkej-350	13	40	2017	2017	NUM
alkej-350	13	41	)	)	PUNCT
alkej-350	13	42	proposed	propose	VERB
alkej-350	13	43	hybrid	hybrid	NOUN
alkej-350	13	44	sparse	sparse	ADJ
alkej-350	13	45	adaptive	adaptive	ADJ
alkej-350	13	46	algorithms	algorithm	NOUN
alkej-350	13	47	for	for	ADP
alkej-350	13	48	system	system	NOUN
alkej-350	13	49	identification	identification	NOUN
alkej-350	13	50	k	k	PROPN
alkej-350	13	51	abdulsattar	abdulsattar	PROPN
alkej-350	13	52	*	*	PUNCT
alkej-350	13	53	samer	samer	PROPN
alkej-350	13	54	hussein	hussein	PROPN
alkej-350	13	55	ali	ali	PROPN
alkej-350	13	56	*	*	PROPN
alkej-350	13	57	*	*	AUX
alkej-350	13	58	engineering	engineering	NOUN
alkej-350	13	59	/college	/college	PROPN
alkej-350	13	60	of	of	ADP
alkej-350	13	61	engineering/	engineering/	NUM
alkej-350	13	62	university	university	NOUN
alkej-350	13	63	of	of	ADP
alkej-350	13	64	baghdad	baghdad	PROPN
alkej-350	13	65	mahmood.abdulsattar@googlemail.com	mahmood.abdulsattar@googlemail.com	PROPN
alkej-350	13	66	:	:	PUNCT
alkej-350	13	67	msc_eng_samerhussein@yahoo.com	msc_eng_samerhussein@yahoo.com	X
alkej-350	13	68	august	august	PROPN
alkej-350	13	69	2016	2016	NUM
alkej-350	13	70	;	;	PUNCT
alkej-350	13	71	accepted	accept	VERB
alkej-350	13	72	19	19	NUM
alkej-350	13	73	december	december	PROPN
alkej-350	13	74	2016	2016	NUM
alkej-350	13	75	)	)	PUNCT
alkej-350	14	1	https://doi.org/10.22153/kej.2017.12.003	https://doi.org/10.22153/kej.2017.12.003	PROPN
alkej-350	14	2	recent	recent	ADJ
alkej-350	14	3	suggested	suggest	VERB
alkej-350	14	4	algorithms	algorithm	NOUN
alkej-350	14	5	are	be	AUX
alkej-350	14	6	ℓ	ℓ	NUM
alkej-350	14	7	�	�	NOUN
alkej-350	14	8	-norm	-norm	NOUN
alkej-350	14	9	least	least	ADV
alkej-350	14	10	mean	mean	VERB
alkej-350	14	11	square	square	ADJ
alkej-350	14	12	(	(	PUNCT
alkej-350	14	13	-attracting	-attracte	VERB
alkej-350	14	14	lms	lm	NOUN
alkej-350	14	15	(	(	PUNCT
alkej-350	14	16	rza	rza	NOUN
alkej-350	14	17	-	-	PUNCT
alkej-350	14	18	lms	lms	PROPN
alkej-350	14	19	)	)	PUNCT
alkej-350	14	20	,	,	PUNCT
alkej-350	14	21	and	and	CCONJ
alkej-350	14	22	p	p	X
alkej-350	14	23	-	-	PUNCT
alkej-350	14	24	norm	norm	NOUN
alkej-350	14	25	lms	lm	NOUN
alkej-350	14	26	(	(	PUNCT
alkej-350	14	27	p	p	NOUN
alkej-350	14	28	-	-	PUNCT
alkej-350	14	29	lms	lm	NOUN
alkej-350	14	30	)	)	PUNCT
alkej-350	14	31	have	have	AUX
alkej-350	14	32	modified	modify	VERB
alkej-350	14	33	the	the	DET
alkej-350	14	34	cost	cost	NOUN
alkej-350	14	35	function	function	NOUN
alkej-350	14	36	of	of	ADP
alkej-350	14	37	the	the	DET
alkej-350	14	38	conventional	conventional	ADJ
alkej-350	14	39	lms	lm	NOUN
alkej-350	14	40	algorithm	algorithm	NOUN
alkej-350	14	41	by	by	ADP
alkej-350	14	42	adding	add	VERB
alkej-350	14	43	a	a	DET
alkej-350	14	44	constraint	constraint	NOUN
alkej-350	14	45	of	of	ADP
alkej-350	14	46	coefficients	coefficient	NOUN
alkej-350	14	47	sparsity	sparsity	NOUN
alkej-350	14	48	.	.	PUNCT
alkej-350	15	1	and	and	CCONJ
alkej-350	15	2	za	za	PROPN
alkej-350	15	3	-	-	NOUN
alkej-350	15	4	lms	lm	NOUN
alkej-350	15	5	,	,	PUNCT
alkej-350	15	6	ℓ	ℓ	NOUN
alkej-350	15	7	�	�	PROPN
alkej-350	15	8	-rza	-rza	NOUN
alkej-350	15	9	-	-	PUNCT
alkej-350	15	10	lms	lm	NOUN
alkej-350	15	11	,	,	PUNCT
alkej-350	15	12	p	p	PROPN
alkej-350	15	13	-	-	PUNCT
alkej-350	15	14	za	za	NOUN
alkej-350	15	15	-	-	NOUN
alkej-350	15	16	lms	lm	NOUN
alkej-350	15	17	and	and	CCONJ
alkej-350	15	18	p	p	PROPN
alkej-350	15	19	-	-	PUNCT
alkej-350	15	20	rza	rza	NOUN
alkej-350	15	21	-	-	PUNCT
alkej-350	15	22	lms	lm	NOUN
alkej-350	15	23	that	that	PRON
alkej-350	15	24	are	be	AUX
alkej-350	15	25	designed	design	VERB
alkej-350	15	26	by	by	ADP
alkej-350	15	27	m	m	NOUN
alkej-350	15	28	previous	previous	ADJ
alkej-350	15	29	algorithms	algorithm	NOUN
alkej-350	15	30	to	to	PART
alkej-350	15	31	improve	improve	VERB
alkej-350	15	32	theconvergence	theconvergence	NOUN
alkej-350	15	33	rate	rate	NOUN
alkej-350	15	34	and	and	CCONJ
alkej-350	15	35	steady	steady	ADJ
alkej-350	15	36	state	state	NOUN
alkej-350	15	37	of	of	ADP
alkej-350	15	38	was	be	AUX
alkej-350	15	39	done	do	VERB
alkej-350	15	40	for	for	ADP
alkej-350	15	41	the	the	DET
alkej-350	15	42	theoretical	theoretical	ADJ
alkej-350	15	43	operation	operation	NOUN
alkej-350	15	44	of	of	ADP
alkej-350	15	45	proposed	propose	VERB
alkej-350	15	46	algorithms	algorithm	NOUN
alkej-350	15	47	by	by	ADP
alkej-350	15	48	exited	exit	VERB
alkej-350	15	49	white	white	ADJ
alkej-350	15	50	gaussian	gaussian	ADJ
alkej-350	15	51	sequence	sequence	NOUN
alkej-350	15	52	for	for	ADP
alkej-350	15	53	input	input	NOUN
alkej-350	15	54	signal	signal	NOUN
alkej-350	15	55	.	.	PUNCT
alkej-350	16	1	the	the	DET
alkej-350	16	2	discussion	discussion	NOUN
alkej-350	16	3	of	of	ADP
alkej-350	16	4	mean	mean	ADJ
alkej-350	16	5	square	square	ADJ
alkej-350	16	6	deviation	deviation	NOUN
alkej-350	16	7	(	(	PUNCT
alkej-350	16	8	msd	msd	NOUN
alkej-350	16	9	)	)	PUNCT
alkej-350	16	10	with	with	ADP
alkej-350	16	11	regard	regard	NOUN
alkej-350	16	12	to	to	ADP
alkej-350	16	13	parameters	parameter	NOUN
alkej-350	16	14	of	of	ADP
alkej-350	16	15	observed	observe	VERB
alkej-350	16	16	.	.	PUNCT
alkej-350	17	1	in	in	ADP
alkej-350	17	2	addition	addition	NOUN
alkej-350	17	3	,	,	PUNCT
alkej-350	17	4	in	in	ADP
alkej-350	17	5	this	this	DET
alkej-350	17	6	paper	paper	NOUN
alkej-350	17	7	,	,	PUNCT
alkej-350	17	8	the	the	DET
alkej-350	17	9	correlation	correlation	NOUN
alkej-350	17	10	between	between	ADP
alkej-350	17	11	proposed	propose	VERB
alkej-350	17	12	algorithms	algorithm	NOUN
alkej-350	17	13	re	re	AUX
alkej-350	17	14	presented	present	VERB
alkej-350	17	15	and	and	CCONJ
alkej-350	17	16	the	the	DET
alkej-350	17	17	necessary	necessary	ADJ
alkej-350	17	18	conditions	condition	NOUN
alkej-350	17	19	of	of	ADP
alkej-350	17	20	these	these	DET
alkej-350	17	21	proposed	propose	VERB
alkej-350	17	22	algorithms	algorithms	NOUN
alkej-350	17	23	results	result	NOUN
alkej-350	17	24	of	of	ADP
alkej-350	17	25	simulations	simulation	NOUN
alkej-350	17	26	are	be	AUX
alkej-350	17	27	compared	compare	VERB
alkej-350	17	28	with	with	ADP
alkej-350	17	29	theoretical	theoretical	ADJ
alkej-350	17	30	study	study	NOUN
alkej-350	17	31	(	(	PUNCT
alkej-350	17	32	?	?	PUNCT
alkej-350	17	33	)	)	PUNCT
alkej-350	17	34	,	,	PUNCT
alkej-350	17	35	which	which	PRON
alkej-350	17	36	is	be	AUX
alkej-350	17	37	of	of	ADP
alkej-350	17	38	parameters	parameter	NOUN
alkej-350	17	39	..	..	PUNCT
alkej-350	18	1	attracting	attract	VERB
alkej-350	18	2	,	,	PUNCT
alkej-350	18	3	p	p	NOUN
alkej-350	18	4	-	-	PUNCT
alkej-350	18	5	lms	lm	NOUN
alkej-350	18	6	,	,	PUNCT
alkej-350	18	7	mean	mean	ADJ
alkej-350	18	8	square	square	ADJ
alkej-350	18	9	deviation	deviation	NOUN
alkej-350	18	10	,	,	PUNCT
alkej-350	18	11	sparse	sparse	ADJ
alkej-350	18	12	system	system	NOUN
alkej-350	18	13	identification	identification	NOUN
alkej-350	18	14	problem	problem	NOUN
alkej-350	18	15	when	when	SCONJ
alkej-350	18	16	se	se	PROPN
alkej-350	18	17	response	response	NOUN
alkej-350	18	18	is	be	AUX
alkej-350	18	19	sparse	sparse	ADJ
alkej-350	18	20	.	.	PUNCT
alkej-350	19	1	least	least	ADJ
alkej-350	19	2	(	(	PUNCT
alkej-350	19	3	lms	lm	NOUN
alkej-350	19	4	)	)	PUNCT
alkej-350	19	5	algorithm	algorithm	NOUN
alkej-350	19	6	used	use	VERB
alkej-350	19	7	in	in	ADP
alkej-350	19	8	many	many	ADJ
alkej-350	19	9	applications	application	NOUN
alkej-350	19	10	for	for	ADP
alkej-350	19	11	example	example	NOUN
alkej-350	19	12	system	system	NOUN
alkej-350	19	13	identification	identification	NOUN
alkej-350	19	14	,	,	PUNCT
alkej-350	19	15	echo	echo	NOUN
alkej-350	19	16	cancelation	cancelation	NOUN
alkej-350	19	17	,	,	PUNCT
alkej-350	19	18	and	and	CCONJ
alkej-350	19	19	channel	channel	NOUN
alkej-350	19	20	equalization	equalization	NOUN
alkej-350	19	21	,	,	PUNCT
alkej-350	19	22	due	due	ADP
alkej-350	19	23	to	to	ADP
alkej-350	19	24	its	its	PRON
alkej-350	19	25	easy	easy	ADJ
alkej-350	19	26	implementation	implementation	NOUN
alkej-350	19	27	,	,	PUNCT
alkej-350	19	28	good	good	ADJ
alkej-350	19	29	performance	performance	NOUN
alkej-350	19	30	,	,	PUNCT
alkej-350	19	31	and	and	CCONJ
alkej-350	19	32	the	the	DET
alkej-350	19	33	impulse	impulse	ADJ
alkej-350	19	34	response	response	NOUN
alkej-350	19	35	of	of	ADP
alkej-350	19	36	a	a	DET
alkej-350	19	37	sparse	sparse	ADJ
alkej-350	19	38	system	system	NOUN
alkej-350	19	39	zero	zero	NUM
alkej-350	19	40	coefficients	coefficient	NOUN
alkej-350	19	41	and	and	CCONJ
alkej-350	19	42	few	few	ADJ
alkej-350	19	43	large	large	ADJ
alkej-350	19	44	ones	one	NOUN
alkej-350	19	45	[	[	X
alkej-350	19	46	4	4	NUM
alkej-350	19	47	]	]	PUNCT
alkej-350	19	48	.	.	PUNCT
alkej-350	20	1	for	for	ADP
alkej-350	20	2	this	this	DET
alkej-350	20	3	system	system	NOUN
alkej-350	20	4	,	,	PUNCT
alkej-350	20	5	the	the	DET
alkej-350	20	6	conventional	conventional	ADJ
alkej-350	20	7	lms	lm	NOUN
alkej-350	20	8	not	not	PART
alkej-350	20	9	ever	ever	ADV
alkej-350	20	10	takes	take	VERB
alkej-350	20	11	improvement	improvement	NOUN
alkej-350	20	12	of	of	ADP
alkej-350	20	13	years	year	NOUN
alkej-350	20	14	,	,	PUNCT
alkej-350	20	15	a	a	DET
alkej-350	20	16	number	number	NOUN
alkej-350	20	17	of	of	ADP
alkej-350	20	18	on	on	ADP
alkej-350	20	19	lms	lm	NOUN
alkej-350	20	20	to	to	PART
alkej-350	20	21	improve	improve	VERB
alkej-350	20	22	roportionate	roportionate	VERB
alkej-350	20	23	and	and	CCONJ
alkej-350	20	24	its	its	PRON
alkej-350	20	25	improved	improved	ADJ
alkej-350	20	26	ones	one	NOUN
alkej-350	20	27	,	,	PUNCT
alkej-350	20	28	the	the	DET
alkej-350	20	29	individual	individual	ADJ
alkej-350	20	30	step	step	NOUN
alkej-350	20	31	size	size	NOUN
alkej-350	20	32	with	with	ADP
alkej-350	20	33	respect	respect	NOUN
alkej-350	20	34	the	the	PRON
alkej-350	20	35	to	to	PART
alkej-350	20	36	improve	improve	VERB
alkej-350	20	37	the	the	DET
alkej-350	20	38	convergence	convergence	NOUN
alkej-350	20	39	rate	rate	NOUN
alkej-350	20	40	of	of	ADP
alkej-350	20	41	them[5	them[5	NOUN
alkej-350	20	42	,	,	PUNCT
alkej-350	20	43	6	6	NUM
alkej-350	20	44	]	]	PUNCT
alkej-350	20	45	.	.	PUNCT
alkej-350	21	1	developed	develop	VERB
alkej-350	21	2	sparse	sparse	ADJ
alkej-350	21	3	signal	signal	NOUN
alkej-350	21	4	processing	processing	NOUN
alkej-350	21	5	part	part	NOUN
alkej-350	21	6	[	[	X
alkej-350	21	7	7	7	NUM
alkej-350	21	8	the	the	DET
alkej-350	21	9	estimation	estimation	NOUN
alkej-350	21	10	of	of	ADP
alkej-350	21	11	these	these	DET
alkej-350	21	12	algorithms	algorithm	NOUN
alkej-350	21	13	is	be	AUX
alkej-350	21	14	applied	apply	VERB
alkej-350	21	15	the	the	DET
alkej-350	21	16	features	feature	NOUN
alkej-350	21	17	of	of	ADP
alkej-350	21	18	unknown	unknown	ADJ
alkej-350	21	19	impulse	impulse	ADJ
alkej-350	21	20	response	response	NOUN
alkej-350	21	21	then	then	ADV
alkej-350	21	22	added	add	VERB
alkej-350	21	23	sparsity	sparsity	NOUN
alkej-350	21	24	constraints	constraint	NOUN
alkej-350	21	25	to	to	ADP
alkej-350	21	26	the	the	DET
alkej-350	21	27	cost	cost	NOUN
alkej-350	21	28	function	function	NOUN
alkej-350	21	29	of	of	ADP
alkej-350	21	30	gradient	gradient	ADJ
alkej-350	21	31	descent	descent	NOUN
alkej-350	21	32	.	.	PUNCT
alkej-350	22	1	it	it	PRON
alkej-350	22	2	is	be	AUX
alkej-350	22	3	essential	essential	ADJ
alkej-350	22	4	to	to	PART
alkej-350	22	5	deportment	deportment	VERB
alkej-350	22	6	a	a	DET
alkej-350	22	7	th	th	X
alkej-350	22	8	examination	examination	NOUN
alkej-350	22	9	of	of	ADP
alkej-350	22	10	proposed	propose	VERB
alkej-350	22	11	algorithms	algorithm	NOUN
alkej-350	22	12	.	.	PUNCT
alkej-350	23	1	numerical	numerical	ADJ
alkej-350	23	2	simulations	simulation	NOUN
alkej-350	23	3	proved	prove	VERB
alkej-350	23	4	the	the	DET
alkej-350	23	5	proposed	propose	VERB
alkej-350	23	6	algorithm	algorithm	NOUN
alkej-350	23	7	better	well	ADJ
alkej-350	23	8	performance	performance	NOUN
alkej-350	23	9	than	than	ADP
alkej-350	23	10	recent	recent	ADJ
alkej-350	23	11	sparse	sparse	ADJ
alkej-350	23	12	system	system	NOUN
alkej-350	23	13	identification	identification	NOUN
alkej-350	23	14	,	,	PUNCT
alkej-350	23	15	minimized	minimize	VERB
alkej-350	23	16	steady	steady	ADJ
alkej-350	23	17	-	-	PUNCT
alkej-350	23	18	state	state	NOUN
alkej-350	23	19	msd	msd	NOUN
alkej-350	23	20	convergence	convergence	NOUN
alkej-350	23	21	rate	rate	NOUN
alkej-350	23	22	.	.	PUNCT
alkej-350	24	1	1.1	1.1	NUM
alkej-350	24	2	.	.	PUNCT
alkej-350	25	1	relation	relation	NOUN
alkej-350	25	2	to	to	ADP
alkej-350	25	3	other	other	ADJ
alkej-350	25	4	works	work	NOUN
alkej-350	25	5	the	the	DET
alkej-350	25	6	mean	mean	ADJ
alkej-350	25	7	square	square	ADJ
alkej-350	25	8	evaluation	evaluation	NOUN
alkej-350	25	9	has	have	AUX
alkej-350	25	10	been	be	AUX
alkej-350	25	11	illustrated	illustrate	VERB
alkej-350	25	12	for	for	ADP
alkej-350	25	13	lms	lm	NOUN
alkej-350	25	14	algorithm	algorithm	NOUN
alkej-350	25	15	and	and	CCONJ
alkej-350	25	16	a	a	DET
alkej-350	25	17	share	share	NOUN
alkej-350	25	18	of	of	ADP
alkej-350	25	19	its	its	PRON
alkej-350	25	20	deviations	deviation	NOUN
alkej-350	25	21	,	,	PUNCT
alkej-350	25	22	the	the	DET
alkej-350	25	23	optimal	optimal	ADJ
alkej-350	25	24	algorithm	algorithm	NOUN
alkej-350	25	25	parameters	parameter	NOUN
alkej-350	25	26	has	have	AUX
alkej-350	25	27	al	al	PROPN
alkej-350	25	28	-	-	PUNCT
alkej-350	25	29	khwarizmi	khwarizmi	PROPN
alkej-350	25	30	engineering	engineering	PROPN
alkej-350	25	31	journal	journal	PROPN
alkej-350	25	32	proposed	propose	VERB
alkej-350	25	33	hybrid	hybrid	NOUN
alkej-350	25	34	sparse	sparse	ADJ
alkej-350	25	35	adaptive	adaptive	ADJ
alkej-350	25	36	algorithms	algorithm	NOUN
alkej-350	25	37	for	for	ADP
alkej-350	25	38	system	system	NOUN
alkej-350	25	39	university	university	PROPN
alkej-350	25	40	of	of	ADP
alkej-350	25	41	baghdad	baghdad	PROPN
alkej-350	25	42	norm	norm	NOUN
alkej-350	25	43	least	least	ADV
alkej-350	25	44	mean	mean	VERB
alkej-350	25	45	square	square	ADJ
alkej-350	25	46	(	(	PUNCT
alkej-350	25	47	ℓ	ℓ	NOUN
alkej-350	25	48	�	�	NOUN
alkej-350	25	49	-lms	-lm	NOUN
alkej-350	25	50	)	)	PUNCT
alkej-350	25	51	,	,	PUNCT
alkej-350	25	52	zerolms	zerolm	NOUN
alkej-350	25	53	)	)	PUNCT
alkej-350	25	54	algorithms	algorithm	NOUN
alkej-350	25	55	,	,	PUNCT
alkej-350	25	56	that	that	PRON
alkej-350	25	57	have	have	AUX
alkej-350	25	58	modified	modify	VERB
alkej-350	25	59	the	the	DET
alkej-350	25	60	cost	cost	NOUN
alkej-350	25	61	function	function	NOUN
alkej-350	25	62	of	of	ADP
alkej-350	25	63	the	the	DET
alkej-350	25	64	conventional	conventional	ADJ
alkej-350	25	65	lms	lm	NOUN
alkej-350	25	66	algorithm	algorithm	NOUN
alkej-350	25	67	by	by	ADP
alkej-350	25	68	adding	add	VERB
alkej-350	25	69	a	a	DET
alkej-350	25	70	constraint	constraint	NOUN
alkej-350	25	71	of	of	ADP
alkej-350	25	72	coefficients	coefficient	NOUN
alkej-350	25	73	sparsity	sparsity	NOUN
alkej-350	25	74	.	.	PUNCT
alkej-350	26	1	and	and	CCONJ
alkej-350	26	2	lms	lm	NOUN
alkej-350	26	3	that	that	PRON
alkej-350	26	4	are	be	AUX
alkej-350	26	5	designed	design	VERB
alkej-350	26	6	by	by	ADP
alkej-350	26	7	of	of	ADP
alkej-350	26	8	msd	msd	NOUN
alkej-350	26	9	for	for	ADP
alkej-350	26	10	sparse	sparse	NOUN
alkej-350	26	11	for	for	ADP
alkej-350	26	12	the	the	DET
alkej-350	26	13	theoretical	theoretical	ADJ
alkej-350	26	14	operation	operation	NOUN
alkej-350	26	15	of	of	ADP
alkej-350	26	16	proposed	propose	VERB
alkej-350	26	17	algorithms	algorithm	NOUN
alkej-350	26	18	by	by	ADP
alkej-350	26	19	exited	exit	VERB
alkej-350	26	20	white	white	ADJ
alkej-350	26	21	ion	ion	NOUN
alkej-350	26	22	of	of	ADP
alkej-350	26	23	mean	mean	ADJ
alkej-350	26	24	square	square	ADJ
alkej-350	26	25	deviation	deviation	NOUN
alkej-350	26	26	(	(	PUNCT
alkej-350	26	27	msd	msd	NOUN
alkej-350	26	28	)	)	PUNCT
alkej-350	26	29	with	with	ADP
alkej-350	26	30	regard	regard	NOUN
alkej-350	26	31	to	to	ADP
alkej-350	26	32	parameters	parameter	NOUN
alkej-350	26	33	of	of	ADP
alkej-350	26	34	between	between	ADP
alkej-350	26	35	proposed	propose	VERB
alkej-350	26	36	algorithms	algorithms	NOUN
alkej-350	26	37	algorithms	algorithm	NOUN
alkej-350	26	38	were	be	AUX
alkej-350	26	39	planned	plan	VERB
alkej-350	26	40	are	be	AUX
alkej-350	26	41	compared	compare	VERB
alkej-350	26	42	with	with	ADP
alkej-350	26	43	theoretical	theoretical	ADJ
alkej-350	26	44	study	study	NOUN
alkej-350	26	45	(	(	PUNCT
alkej-350	26	46	?	?	PUNCT
alkej-350	26	47	)	)	PUNCT
alkej-350	26	48	,	,	PUNCT
alkej-350	26	49	which	which	PRON
alkej-350	26	50	is	be	AUX
alkej-350	26	51	sparse	sparse	ADJ
alkej-350	26	52	system	system	NOUN
alkej-350	26	53	identification	identification	NOUN
alkej-350	26	54	.	.	PUNCT
alkej-350	27	1	[	[	X
alkej-350	27	2	5	5	NUM
alkej-350	27	3	,	,	PUNCT
alkej-350	27	4	6	6	NUM
alkej-350	27	5	]	]	PUNCT
alkej-350	27	6	.	.	PUNCT
alkej-350	28	1	the	the	DET
alkej-350	28	2	recently	recently	ADV
alkej-350	28	3	developed	develop	VERB
alkej-350	28	4	sparse	sparse	ADJ
alkej-350	28	5	signal	signal	NOUN
alkej-350	28	6	processing	processing	NOUN
alkej-350	28	7	part	part	NOUN
alkej-350	28	8	[	[	X
alkej-350	28	9	7–11	7–11	NOUN
alkej-350	28	10	]	]	PUNCT
alkej-350	28	11	.	.	PUNCT
alkej-350	29	1	the	the	DET
alkej-350	29	2	estimation	estimation	NOUN
alkej-350	29	3	of	of	ADP
alkej-350	29	4	these	these	DET
alkej-350	29	5	algorithms	algorithm	NOUN
alkej-350	29	6	is	be	AUX
alkej-350	29	7	applied	apply	VERB
alkej-350	29	8	the	the	DET
alkej-350	29	9	features	feature	NOUN
alkej-350	29	10	of	of	ADP
alkej-350	29	11	unknown	unknown	ADJ
alkej-350	29	12	impulse	impulse	ADJ
alkej-350	29	13	response	response	NOUN
alkej-350	29	14	then	then	ADV
alkej-350	29	15	added	add	VERB
alkej-350	29	16	sparsity	sparsity	NOUN
alkej-350	29	17	constraints	constraint	NOUN
alkej-350	29	18	to	to	ADP
alkej-350	29	19	the	the	DET
alkej-350	29	20	cost	cost	NOUN
alkej-350	29	21	function	function	NOUN
alkej-350	29	22	of	of	ADP
alkej-350	29	23	gradient	gradient	NOUN
alkej-350	29	24	it	it	PRON
alkej-350	29	25	is	be	AUX
alkej-350	29	26	essential	essential	ADJ
alkej-350	29	27	to	to	PART
alkej-350	29	28	deportment	deportment	VERB
alkej-350	29	29	a	a	DET
alkej-350	29	30	theoretical	theoretical	ADJ
alkej-350	29	31	algorithms	algorithm	NOUN
alkej-350	29	32	.	.	PUNCT
alkej-350	30	1	numerical	numerical	ADJ
alkej-350	30	2	simulations	simulation	NOUN
alkej-350	30	3	proved	prove	VERB
alkej-350	30	4	the	the	DET
alkej-350	30	5	proposed	propose	VERB
alkej-350	30	6	algorithms	algorithm	NOUN
alkej-350	30	7	have	have	VERB
alkej-350	30	8	algorithms	algorithm	NOUN
alkej-350	30	9	for	for	ADP
alkej-350	30	10	sparse	sparse	ADJ
alkej-350	30	11	system	system	NOUN
alkej-350	30	12	identification	identification	NOUN
alkej-350	30	13	,	,	PUNCT
alkej-350	30	14	due	due	ADP
alkej-350	30	15	to	to	ADP
alkej-350	30	16	both	both	PRON
alkej-350	30	17	and	and	CCONJ
alkej-350	30	18	improved	improve	VERB
alkej-350	30	19	the	the	DET
alkej-350	30	20	mean	mean	ADJ
alkej-350	30	21	square	square	ADJ
alkej-350	30	22	evaluation	evaluation	NOUN
alkej-350	30	23	has	have	AUX
alkej-350	30	24	been	be	AUX
alkej-350	30	25	and	and	CCONJ
alkej-350	30	26	a	a	DET
alkej-350	30	27	share	share	NOUN
alkej-350	30	28	of	of	ADP
alkej-350	30	29	its	its	PRON
alkej-350	30	30	deviations	deviation	NOUN
alkej-350	30	31	,	,	PUNCT
alkej-350	30	32	the	the	DET
alkej-350	30	33	optimal	optimal	ADJ
alkej-350	30	34	algorithm	algorithm	NOUN
alkej-350	30	35	parameters	parameter	NOUN
alkej-350	30	36	has	have	VERB
alkej-350	30	37	pdf	pdf	NOUN
alkej-350	30	38	created	create	VERB
alkej-350	30	39	with	with	ADP
alkej-350	30	40	pdffactory	pdffactory	ADJ
alkej-350	30	41	trial	trial	NOUN
alkej-350	30	42	version	version	NOUN
alkej-350	30	43	www.pdffactory.com	www.pdffactory.com	X
alkej-350	30	44	mailto:mahmood.abdulsattar@googlemail.com	mailto:mahmood.abdulsattar@googlemail.com	X
alkej-350	31	1	https://doi.org/10.22153/kej.2017.12.003	https://doi.org/10.22153/kej.2017.12.003	PROPN
alkej-350	31	2	mailto:mahmood.abdulsattar@googlemail.com	mailto:mahmood.abdulsattar@googlemail.com	X
alkej-350	31	3	mailto:msc_eng_samerhussein@yahoo.com	mailto:msc_eng_samerhussein@yahoo.com	X
alkej-350	32	1	https://doi.org/10.22153/kej.2017.12.003	https://doi.org/10.22153/kej.2017.12.003	PROPN
alkej-350	32	2	http://www.pdffactory.com	http://www.pdffactory.com	X
alkej-350	32	3	http://www.pdffactory.com	http://www.pdffactory.com	X
alkej-350	33	1	mahmood	mahmood	PROPN
alkej-350	34	1	a.k	a.k	PROPN
alkej-350	34	2	abdulsattar	abdulsattar	PROPN
alkej-350	34	3	al	al	PROPN
alkej-350	34	4	-	-	PUNCT
alkej-350	34	5	khwarizmi	khwarizmi	PROPN
alkej-350	34	6	engineering	engineering	NOUN
alkej-350	34	7	journal	journal	PROPN
alkej-350	34	8	,	,	PUNCT
alkej-350	34	9	vol	vol	NOUN
alkej-350	34	10	.	.	PROPN
alkej-350	34	11	13	13	NUM
alkej-350	34	12	,	,	PUNCT
alkej-350	34	13	no	no	INTJ
alkej-350	34	14	.	.	PUNCT
alkej-350	34	15	been	be	AUX
alkej-350	34	16	selected	select	VERB
alkej-350	34	17	to	to	PART
alkej-350	34	18	characterize	characterize	VERB
alkej-350	34	19	the	the	DET
alkej-350	34	20	theoretically	theoretically	ADV
alkej-350	34	21	performance	performance	NOUN
alkej-350	34	22	.	.	PUNCT
alkej-350	35	1	lms	lm	NOUN
alkej-350	35	2	algorithm	algorithm	PROPN
alkej-350	35	3	was	be	AUX
alkej-350	35	4	proposed	propose	VERB
alkej-350	35	5	by	by	ADP
alkej-350	35	6	widrow	widrow	NOUN
alkej-350	35	7	for	for	ADP
alkej-350	35	8	the	the	DET
alkej-350	35	9	first	first	ADJ
alkej-350	35	10	time	time	NOUN
alkej-350	35	11	in	in	ADP
alkej-350	35	12	[	[	X
alkej-350	35	13	12	12	NUM
alkej-350	35	14	]	]	PUNCT
alkej-350	35	15	and	and	CCONJ
alkej-350	35	16	its	its	PRON
alkej-350	35	17	performance	performance	NOUN
alkej-350	35	18	was	be	AUX
alkej-350	35	19	studied	study	VERB
alkej-350	35	20	in	in	ADP
alkej-350	35	21	[	[	X
alkej-350	35	22	13	13	NUM
alkej-350	35	23	]	]	PUNCT
alkej-350	35	24	.	.	PUNCT
alkej-350	36	1	later	later	ADV
alkej-350	36	2	,	,	PUNCT
alkej-350	36	3	the	the	DET
alkej-350	36	4	mathematical	mathematical	ADJ
alkej-350	36	5	frame	frame	NOUN
alkej-350	36	6	of	of	ADP
alkej-350	36	7	mean	mean	ADJ
alkej-350	36	8	square	square	ADJ
alkej-350	36	9	analysis	analysis	NOUN
alkej-350	36	10	was	be	AUX
alkej-350	36	11	established	establish	VERB
alkej-350	36	12	by	by	ADP
alkej-350	36	13	horowitz	horowitz	PROPN
alkej-350	36	14	and	and	CCONJ
alkej-350	36	15	senne	senne	NOUN
alkej-350	36	16	via	via	ADP
alkej-350	36	17	examining	examine	VERB
alkej-350	36	18	the	the	DET
alkej-350	36	19	coefficients	coefficient	NOUN
alkej-350	36	20	vector	vector	NOUN
alkej-350	36	21	and	and	CCONJ
alkej-350	36	22	succeeded	succeed	VERB
alkej-350	36	23	the	the	DET
alkej-350	36	24	closed	closed	ADJ
alkej-350	36	25	form	form	NOUN
alkej-350	36	26	appearance	appearance	NOUN
alkej-350	36	27	of	of	ADP
alkej-350	36	28	msd	msd	NOUN
alkej-350	37	1	[	[	X
alkej-350	37	2	14	14	NUM
alkej-350	37	3	]	]	X
alkej-350	37	4	,	,	PUNCT
alkej-350	37	5	which	which	PRON
alkej-350	37	6	wa	wa	ADV
alkej-350	37	7	simpler	simple	ADJ
alkej-350	37	8	by	by	ADP
alkej-350	37	9	weinstein	weinstein	PROPN
alkej-350	37	10	and	and	CCONJ
alkej-350	37	11	feuer	feuer	PROPN
alkej-350	38	1	[	[	X
alkej-350	38	2	15	15	NUM
alkej-350	38	3	]	]	PUNCT
alkej-350	38	4	.	.	PUNCT
alkej-350	39	1	a	a	DET
alkej-350	39	2	brief	brief	ADJ
alkej-350	39	3	analysis	analysis	NOUN
alkej-350	39	4	,	,	PUNCT
alkej-350	39	5	which	which	PRON
alkej-350	39	6	planned	plan	VERB
alkej-350	39	7	in	in	ADP
alkej-350	39	8	[	[	X
alkej-350	39	9	16	16	NUM
alkej-350	39	10	]	]	PUNCT
alkej-350	39	11	depend	depend	VERB
alkej-350	39	12	on	on	ADP
alkej-350	39	13	a	a	DET
alkej-350	39	14	style	style	NOUN
alkej-350	39	15	of	of	ADP
alkej-350	39	16	adaptive	adaptive	ADJ
alkej-350	39	17	algorithms	algorithm	NOUN
alkej-350	39	18	,	,	PUNCT
alkej-350	39	19	that	that	PRON
alkej-350	39	20	presents	present	VERB
alkej-350	39	21	linear	linear	ADJ
alkej-350	39	22	time	time	NOUN
alkej-350	39	23	invariant	invariant	ADJ
alkej-350	39	24	processes	process	NOUN
alkej-350	39	25	depend	depend	VERB
alkej-350	39	26	on	on	ADP
alkej-350	39	27	the	the	DET
alkej-350	39	28	instantaneous	instantaneous	ADJ
alkej-350	39	29	of	of	ADP
alkej-350	39	30	gradient	gradient	ADJ
alkej-350	39	31	vector	vector	NOUN
alkej-350	39	32	and	and	CCONJ
alkej-350	39	33	the	the	DET
alkej-350	39	34	lms	lm	NOUN
alkej-350	39	35	is	be	AUX
alkej-350	39	36	the	the	DET
alkej-350	39	37	simplest	simple	ADJ
alkej-350	39	38	algorithm	algorithm	NOUN
alkej-350	39	39	.	.	PUNCT
alkej-350	40	1	likewise	likewise	ADV
alkej-350	40	2	,	,	PUNCT
alkej-350	40	3	the	the	DET
alkej-350	40	4	examination	examination	NOUN
alkej-350	40	5	normalized	normalize	VERB
alkej-350	40	6	lms	lm	NOUN
alkej-350	40	7	(	(	PUNCT
alkej-350	40	8	nlms	nlm	NOUN
alkej-350	40	9	)	)	PUNCT
alkej-350	40	10	has	have	AUX
alkej-350	40	11	involved	involve	VERB
alkej-350	40	12	extremely	extremely	ADV
alkej-350	40	13	attention	attention	NOUN
alkej-350	41	1	[	[	X
alkej-350	41	2	17,18].even	17,18].even	NUM
alkej-350	41	3	so	so	ADV
alkej-350	41	4	,	,	PUNCT
alkej-350	41	5	the	the	DET
alkej-350	41	6	styles	style	NOUN
alkej-350	41	7	stated	state	VERB
alkej-350	41	8	,	,	PUNCT
alkej-350	41	9	which	which	PRON
alkej-350	41	10	are	be	AUX
alkej-350	41	11	professional	professional	ADJ
alkej-350	41	12	in	in	ADP
alkej-350	41	13	their	their	PRON
alkej-350	41	14	own	own	ADJ
alkej-350	41	15	background	background	NOUN
alkej-350	41	16	,	,	PUNCT
alkej-350	41	17	might	might	AUX
alkej-350	41	18	no	no	ADV
alkej-350	41	19	longer	long	ADV
alkej-350	41	20	be	be	AUX
alkej-350	41	21	straight	straight	ADJ
alkej-350	41	22	usedin	usedin	VERB
alkej-350	41	23	lms	lm	NOUN
alkej-350	41	24	,	,	PUNCT
alkej-350	41	25	since	since	SCONJ
alkej-350	41	26	its	its	PRON
alkej-350	41	27	nonlinearity	nonlinearity	NOUN
alkej-350	41	28	.	.	PUNCT
alkej-350	42	1	the	the	DET
alkej-350	42	2	msd	msd	NOUN
alkej-350	42	3	analysis	analysis	NOUN
alkej-350	42	4	of	of	ADP
alkej-350	42	5	za	za	PROPN
alkej-350	42	6	-	-	NOUN
alkej-350	42	7	lms	lm	NOUN
alkej-350	42	8	and	and	CCONJ
alkej-350	42	9	p	p	NOUN
alkej-350	42	10	-	-	PUNCT
alkej-350	42	11	lms	lm	NOUN
alkej-350	42	12	have	have	AUX
alkej-350	42	13	been	be	AUX
alkej-350	42	14	operated	operate	VERB
alkej-350	42	15	in	in	ADP
alkej-350	42	16	[	[	X
alkej-350	42	17	19	19	NUM
alkej-350	42	18	,	,	PUNCT
alkej-350	42	19	20	20	NUM
alkej-350	42	20	]	]	PUNCT
alkej-350	42	21	.	.	PUNCT
alkej-350	43	1	1.2	1.2	NUM
alkej-350	43	2	.	.	PUNCT
alkej-350	43	3	main	main	ADJ
alkej-350	43	4	contribution	contribution	NOUN
alkej-350	43	5	the	the	DET
alkej-350	43	6	contribution	contribution	NOUN
alkej-350	43	7	which	which	PRON
alkej-350	43	8	presented	present	VERB
alkej-350	43	9	in	in	ADP
alkej-350	43	10	this	this	DET
alkej-350	43	11	paper	paper	NOUN
alkej-350	43	12	is	be	AUX
alkej-350	43	13	on	on	ADP
alkej-350	43	14	the	the	DET
alkej-350	43	15	performance	performance	NOUN
alkej-350	43	16	analysis	analysis	NOUN
alkej-350	43	17	of	of	ADP
alkej-350	43	18	steady	steady	ADJ
alkej-350	43	19	then	then	ADV
alkej-350	43	20	,	,	PUNCT
alkej-350	43	21	the	the	DET
alkej-350	43	22	stability	stability	NOUN
alkej-350	43	23	condition	condition	NOUN
alkej-350	43	24	on	on	ADP
alkej-350	43	25	step	step	NOUN
alkej-350	43	26	size	size	NOUN
alkej-350	43	27	is	be	AUX
alkej-350	43	28	chosen	choose	VERB
alkej-350	43	29	.	.	PUNCT
alkej-350	44	1	after	after	ADP
alkej-350	44	2	that	that	PRON
alkej-350	44	3	,	,	PUNCT
alkej-350	44	4	the	the	DET
alkej-350	44	5	rule	rule	NOUN
alkej-350	44	6	to	to	PART
alkej-350	44	7	select	select	VERB
alkej-350	44	8	the	the	DET
alkej-350	44	9	parameter	parameter	NOUN
alkej-350	44	10	for	for	ADP
alkej-350	44	11	steady	steady	ADJ
alkej-350	44	12	-	-	PUNCT
alkej-350	44	13	state	state	NOUN
alkej-350	44	14	performance	performance	NOUN
alkej-350	44	15	is	be	AUX
alkej-350	44	16	suggested	suggest	VERB
alkej-350	44	17	.	.	PUNCT
alkej-350	45	1	finally	finally	ADV
alkej-350	45	2	,	,	PUNCT
alkej-350	45	3	the	the	DET
alkej-350	45	4	steady	steady	ADJ
alkej-350	45	5	-	-	PUNCT
alkej-350	45	6	state	state	NOUN
alkej-350	45	7	msd	msd	NOUN
alkej-350	45	8	is	be	AUX
alkej-350	45	9	achieved	achieve	VERB
alkej-350	45	10	with	with	ADP
alkej-350	45	11	the	the	DET
alkej-350	45	12	optimal	optimal	ADJ
alkej-350	45	13	parameter	parameter	NOUN
alkej-350	45	14	for	for	ADP
alkej-350	45	15	proposed	propose	VERB
alkej-350	45	16	algorithms	algorithm	NOUN
alkej-350	45	17	over	over	ADP
alkej-350	45	18	the	the	DET
alkej-350	45	19	traditional	traditional	ADJ
alkej-350	45	20	algorithm	algorithm	NOUN
alkej-350	45	21	.	.	PUNCT
alkej-350	46	1	another	another	DET
alkej-350	46	2	contribution	contribution	NOUN
alkej-350	46	3	is	be	AUX
alkej-350	46	4	on	on	ADP
alkej-350	46	5	behavior	behavior	NOUN
alkej-350	46	6	of	of	ADP
alkej-350	46	7	instantaneous	instantaneous	ADJ
alkej-350	46	8	analysis	analysis	NOUN
alkej-350	46	9	that	that	PRON
alkej-350	46	10	implies	imply	VERB
alkej-350	46	11	the	the	DET
alkej-350	46	12	convergence	convergence	NOUN
alkej-350	46	13	rate	rate	NOUN
alkej-350	46	14	for	for	ADP
alkej-350	46	15	lms	lm	NOUN
alkej-350	46	16	algorithm	algorithm	NOUN
alkej-350	46	17	..	..	PUNCT
alkej-350	47	1	also	also	ADV
alkej-350	47	2	,	,	PUNCT
alkej-350	47	3	the	the	DET
alkej-350	47	4	convergence	convergence	NOUN
alkej-350	47	5	rates	rate	NOUN
alkej-350	47	6	of	of	ADP
alkej-350	47	7	proposed	propose	VERB
alkej-350	47	8	algorithms	algorithm	NOUN
alkej-350	47	9	are	be	AUX
alkej-350	47	10	compared	compare	VERB
alkej-350	47	11	with	with	ADP
alkej-350	47	12	that	that	PRON
alkej-350	47	13	of	of	ADP
alkej-350	47	14	standard	standard	ADJ
alkej-350	47	15	lms	lm	NOUN
alkej-350	47	16	.	.	PUNCT
alkej-350	48	1	2	2	X
alkej-350	48	2	.	.	X
alkej-350	48	3	background	background	NOUN
alkej-350	48	4	2.1	2.1	NUM
alkej-350	48	5	.	.	PUNCT
alkej-350	49	1	standard	standard	ADJ
alkej-350	49	2	lms	lm	NOUN
alkej-350	49	3	algorithm	algorithm	NOUN
alkej-350	49	4	let	let	VERB
alkej-350	49	5	�	�	PROPN
alkej-350	49	6	=	=	PUNCT
alkej-350	50	1	[	[	X
alkej-350	50	2	ℎ	ℎ	X
alkej-350	50	3	�	�	NOUN
alkej-350	50	4	ℎ	ℎ	NOUN
alkej-350	50	5	�	�	NOUN
alkej-350	50	6	ℎ	ℎ	NOUN
alkej-350	50	7	�	�	NOUN
alkej-350	50	8	…	…	PUNCT
alkej-350	50	9	.	.	PUNCT
alkej-350	50	10	.	.	PUNCT
alkej-350	51	1	ℎ	ℎ	PROPN
alkej-350	51	2	�	�	PROPN
alkej-350	51	3	�	�	PROPN
alkej-350	51	4	�	�	PROPN
alkej-350	51	5	]	]	PUNCT
alkej-350	51	6	�	�	PROPN
alkej-350	51	7	denotes	denote	VERB
alkej-350	51	8	the	the	DET
alkej-350	51	9	coefficient	coefficient	PROPN
alkej-350	51	10	vector	vector	NOUN
alkej-350	51	11	of	of	ADP
alkej-350	51	12	filter	filter	NOUN
alkej-350	51	13	,	,	PUNCT
alkej-350	51	14	e.g.	e.g.	ADV
alkej-350	51	15	,	,	PUNCT
alkej-350	51	16	an	an	DET
alkej-350	51	17	impulse	impulse	ADJ
alkej-350	51	18	response	response	NOUN
alkej-350	51	19	of	of	ADP
alkej-350	51	20	fir	fir	NOUN
alkej-350	51	21	filter	filter	NOUN
alkej-350	51	22	;	;	PUNCT
alkej-350	51	23	�	�	PROPN
alkej-350	51	24	(	(	PUNCT
alkej-350	51	25	�	�	PROPN
alkej-350	51	26	)	)	PUNCT
alkej-350	51	27	=	=	PUNCT
alkej-350	52	1	[	[	X
alkej-350	52	2	�	�	PROPN
alkej-350	52	3	(	(	PUNCT
alkej-350	52	4	�	�	PROPN
alkej-350	52	5	)	)	PUNCT
alkej-350	52	6	1	1	NUM
alkej-350	52	7	)	)	PUNCT
alkej-350	52	8	…	…	PUNCT
alkej-350	52	9	…	…	PUNCT
alkej-350	52	10	.	.	PUNCT
alkej-350	52	11	�	�	PROPN
alkej-350	52	12	(	(	PUNCT
alkej-350	52	13	�	�	PROPN
alkej-350	52	14	−	−	PROPN
alkej-350	52	15	l	l	NOUN
alkej-350	52	16	+	+	NOUN
alkej-350	52	17	1	1	NUM
alkej-350	52	18	)	)	PUNCT
alkej-350	52	19	]	]	PUNCT
alkej-350	52	20	�	�	PROPN
alkej-350	52	21	denotes	denote	VERB
alkej-350	52	22	a	a	DET
alkej-350	52	23	vector	vector	NOUN
alkej-350	52	24	of	of	ADP
alkej-350	52	25	input	input	NOUN
alkej-350	52	26	signal	signal	NOUN
alkej-350	52	27	where	where	SCONJ
alkej-350	52	28	l	l	NOUN
alkej-350	52	29	is	be	AUX
alkej-350	52	30	the	the	DET
alkej-350	52	31	filter	filter	NOUN
alkej-350	52	32	length	length	NOUN
alkej-350	52	33	,	,	PUNCT
alkej-350	52	34	�	�	PROPN
alkej-350	52	35	(	(	PUNCT
alkej-350	52	36	n	n	CCONJ
alkej-350	52	37	)	)	PUNCT
alkej-350	52	38	denotes	denote	VERB
alkej-350	52	39	a	a	DET
alkej-350	52	40	desired	desire	VERB
alkej-350	52	41	signal	signal	NOUN
alkej-350	52	42	,	,	PUNCT
alkej-350	52	43	�	�	PROPN
alkej-350	52	44	(	(	PUNCT
alkej-350	52	45	�	�	PROPN
alkej-350	52	46	)	)	PUNCT
alkej-350	52	47	illustrates	illustrate	VERB
alkej-350	52	48	the	the	DET
alkej-350	52	49	observation	observation	NOUN
alkej-350	52	50	noise	noise	NOUN
alkej-350	52	51	vector	vector	NOUN
alkej-350	52	52	,	,	PUNCT
alkej-350	52	53	�	�	PROPN
alkej-350	52	54	(	(	PUNCT
alkej-350	52	55	�	�	PROPN
alkej-350	52	56	)	)	PUNCT
alkej-350	52	57	denotes	denote	VERB
alkej-350	52	58	the	the	DET
alkej-350	52	59	output	output	PROPN
alkej-350	52	60	signal	signal	PROPN
alkej-350	52	61	�	�	PROPN
alkej-350	52	62	�	�	PROPN
alkej-350	52	63	(	(	PUNCT
alkej-350	52	64	�	�	PROPN
alkej-350	52	65	)	)	PUNCT
alkej-350	52	66	illustrates	illustrate	VERB
alkej-350	52	67	the	the	DET
alkej-350	52	68	estimated	estimate	VERB
alkej-350	52	69	coefficient	coefficient	NOUN
alkej-350	52	70	of	of	ADP
alkej-350	52	71	adaptive	adaptive	ADJ
alkej-350	52	72	filter	filter	NOUN
alkej-350	52	73	at	at	ADP
alkej-350	52	74	iterationn	iterationn	NOUN
alkej-350	52	75	and	and	CCONJ
alkej-350	52	76	e(n	e(n	NOUN
alkej-350	52	77	)	)	PUNCT
alkej-350	52	78	denotes	denote	VERB
alkej-350	52	79	an	an	DET
alkej-350	52	80	estimation	estimation	NOUN
alkej-350	52	81	error	error	NOUN
alkej-350	52	82	.	.	PUNCT
alkej-350	53	1	khwarizmi	khwarizmi	PROPN
alkej-350	53	2	engineering	engineering	PROPN
alkej-350	53	3	journal	journal	PROPN
alkej-350	53	4	,	,	PUNCT
alkej-350	53	5	vol	vol	NOUN
alkej-350	53	6	.	.	PROPN
alkej-350	53	7	13	13	NUM
alkej-350	53	8	,	,	PUNCT
alkej-350	53	9	no	no	INTJ
alkej-350	53	10	.	.	NOUN
alkej-350	53	11	2	2	NUM
alkej-350	53	12	,	,	PUNCT
alkej-350	53	13	p.p	p.p	PROPN
alkej-350	53	14	.	.	PROPN
alkej-350	53	15	63	63	NUM
alkej-350	53	16	been	be	AUX
alkej-350	53	17	selected	select	VERB
alkej-350	53	18	to	to	PART
alkej-350	53	19	characterize	characterize	VERB
alkej-350	53	20	the	the	DET
alkej-350	53	21	theoretically	theoretically	ADV
alkej-350	53	22	performance	performance	NOUN
alkej-350	53	23	.	.	PUNCT
alkej-350	54	1	lms	lm	NOUN
alkej-350	54	2	algorithm	algorithm	PROPN
alkej-350	54	3	was	be	AUX
alkej-350	54	4	proposed	propose	VERB
alkej-350	54	5	by	by	ADP
alkej-350	54	6	the	the	DET
alkej-350	54	7	first	first	ADJ
alkej-350	54	8	time	time	NOUN
alkej-350	54	9	in	in	ADP
alkej-350	54	10	[	[	X
alkej-350	54	11	12	12	NUM
alkej-350	54	12	]	]	PUNCT
alkej-350	54	13	and	and	CCONJ
alkej-350	54	14	its	its	PRON
alkej-350	54	15	performance	performance	NOUN
alkej-350	54	16	was	be	AUX
alkej-350	54	17	studied	study	VERB
alkej-350	54	18	in	in	ADP
alkej-350	54	19	[	[	X
alkej-350	54	20	13	13	NUM
alkej-350	54	21	]	]	PUNCT
alkej-350	54	22	.	.	PUNCT
alkej-350	55	1	later	later	ADV
alkej-350	55	2	,	,	PUNCT
alkej-350	55	3	the	the	DET
alkej-350	55	4	analysis	analysis	NOUN
alkej-350	55	5	was	be	AUX
alkej-350	55	6	established	establish	VERB
alkej-350	55	7	by	by	ADP
alkej-350	55	8	horowitz	horowitz	PROPN
alkej-350	55	9	and	and	CCONJ
alkej-350	55	10	senne	senne	NOUN
alkej-350	55	11	via	via	ADP
alkej-350	55	12	examining	examine	VERB
alkej-350	55	13	succeeded	succeed	VERB
alkej-350	55	14	the	the	DET
alkej-350	55	15	closed[14	closed[14	PROPN
alkej-350	55	16	]	]	PUNCT
alkej-350	55	17	,	,	PUNCT
alkej-350	55	18	which	which	PRON
alkej-350	55	19	was	be	AUX
alkej-350	55	20	make	make	VERB
alkej-350	55	21	simpler	simple	ADJ
alkej-350	55	22	by	by	ADP
alkej-350	55	23	weinstein	weinstein	PROPN
alkej-350	55	24	and	and	CCONJ
alkej-350	55	25	feuer	feuer	PROPN
alkej-350	56	1	[	[	X
alkej-350	56	2	15	15	NUM
alkej-350	56	3	]	]	PUNCT
alkej-350	56	4	.	.	PUNCT
alkej-350	57	1	a	a	DET
alkej-350	57	2	brief	brief	NOUN
alkej-350	57	3	on	on	ADP
alkej-350	57	4	a	a	DET
alkej-350	57	5	style	style	NOUN
alkej-350	57	6	of	of	ADP
alkej-350	57	7	adaptive	adaptive	ADJ
alkej-350	57	8	algorithms	algorithm	NOUN
alkej-350	57	9	,	,	PUNCT
alkej-350	57	10	that	that	PRON
alkej-350	57	11	presents	present	VERB
alkej-350	57	12	linear	linear	PROPN
alkej-350	57	13	timeon	timeon	NOUN
alkej-350	57	14	the	the	DET
alkej-350	57	15	instantaneous	instantaneous	ADJ
alkej-350	57	16	gradient	gradient	NOUN
alkej-350	57	17	vector	vector	NOUN
alkej-350	57	18	and	and	CCONJ
alkej-350	57	19	the	the	DET
alkej-350	57	20	lms	lm	NOUN
alkej-350	57	21	is	be	AUX
alkej-350	57	22	the	the	DET
alkej-350	57	23	simplest	simple	ADJ
alkej-350	57	24	examination	examination	NOUN
alkej-350	57	25	of	of	ADP
alkej-350	57	26	has	have	AUX
alkej-350	57	27	involved	involve	VERB
alkej-350	57	28	the	the	DET
alkej-350	57	29	styles	style	NOUN
alkej-350	57	30	,	,	PUNCT
alkej-350	57	31	which	which	PRON
alkej-350	57	32	are	be	AUX
alkej-350	57	33	professional	professional	ADJ
alkej-350	57	34	in	in	ADP
alkej-350	57	35	their	their	PRON
alkej-350	57	36	own	own	ADJ
alkej-350	57	37	usedinℓ	usedinℓ	NOUN
alkej-350	57	38	�	�	PROPN
alkej-350	57	39	lms	lm	NOUN
alkej-350	57	40	,	,	PUNCT
alkej-350	57	41	since	since	SCONJ
alkej-350	57	42	its	its	PRON
alkej-350	57	43	nonlinearity	nonlinearity	NOUN
alkej-350	57	44	.	.	PUNCT
alkej-350	58	1	the	the	DET
alkej-350	58	2	msd	msd	NOUN
alkej-350	58	3	analysis	analysis	NOUN
alkej-350	58	4	of	of	ADP
alkej-350	58	5	lms	lm	NOUN
alkej-350	58	6	have	have	AUX
alkej-350	58	7	been	be	AUX
alkej-350	58	8	operated	operate	VERB
alkej-350	58	9	in	in	ADP
alkej-350	58	10	[	[	X
alkej-350	58	11	19	19	NUM
alkej-350	58	12	,	,	PUNCT
alkej-350	58	13	this	this	DET
alkej-350	58	14	paper	paper	NOUN
alkej-350	58	15	is	be	AUX
alkej-350	58	16	on	on	ADP
alkej-350	58	17	the	the	DET
alkej-350	58	18	performance	performance	NOUN
alkej-350	58	19	analysis	analysis	NOUN
alkej-350	58	20	of	of	ADP
alkej-350	58	21	steady	steady	ADJ
alkej-350	58	22	-	-	PUNCT
alkej-350	58	23	state	state	NOUN
alkej-350	58	24	.	.	PUNCT
alkej-350	59	1	then	then	ADV
alkej-350	59	2	,	,	PUNCT
alkej-350	59	3	the	the	DET
alkej-350	59	4	stability	stability	NOUN
alkej-350	59	5	condition	condition	NOUN
alkej-350	59	6	on	on	ADP
alkej-350	59	7	step	step	NOUN
alkej-350	59	8	size	size	NOUN
alkej-350	59	9	is	be	AUX
alkej-350	59	10	parameter	parameter	NOUN
alkej-350	59	11	.	.	PUNCT
alkej-350	60	1	finally	finally	ADV
alkej-350	60	2	,	,	PUNCT
alkej-350	60	3	with	with	ADP
alkej-350	60	4	the	the	DET
alkej-350	60	5	optimal	optimal	ADJ
alkej-350	60	6	parameter	parameter	NOUN
alkej-350	60	7	for	for	ADP
alkej-350	60	8	proposed	propose	VERB
alkej-350	60	9	algorithms	algorithm	NOUN
alkej-350	60	10	over	over	ADP
alkej-350	60	11	the	the	DET
alkej-350	60	12	vior	vior	NOUN
alkej-350	60	13	of	of	ADP
alkej-350	60	14	implies	imply	VERB
alkej-350	60	15	the	the	PRON
alkej-350	60	16	..	..	PUNCT
alkej-350	60	17	also	also	ADV
alkej-350	60	18	,	,	PUNCT
alkej-350	60	19	the	the	DET
alkej-350	60	20	convergence	convergence	NOUN
alkej-350	60	21	rates	rate	NOUN
alkej-350	60	22	of	of	ADP
alkej-350	60	23	proposed	propose	VERB
alkej-350	60	24	algorithms	algorithm	NOUN
alkej-350	60	25	are	be	AUX
alkej-350	60	26	denotes	denote	NOUN
alkej-350	60	27	the	the	PRON
alkej-350	60	28	,	,	PUNCT
alkej-350	60	29	an	an	DET
alkej-350	60	30	impulse	impulse	ADJ
alkej-350	60	31	)	)	PUNCT
alkej-350	60	32	�	�	PROPN
alkej-350	60	33	(	(	PUNCT
alkej-350	60	34	�	�	PROPN
alkej-350	60	35	−	−	PROPN
alkej-350	60	36	denotes	denote	VERB
alkej-350	60	37	a	a	DET
alkej-350	60	38	vector	vector	NOUN
alkej-350	60	39	of	of	ADP
alkej-350	60	40	input	input	NOUN
alkej-350	60	41	denotes	denote	NOUN
alkej-350	60	42	a	a	PRON
alkej-350	60	43	illustrates	illustrate	VERB
alkej-350	60	44	the	the	DET
alkej-350	60	45	observation	observation	NOUN
alkej-350	60	46	denotes	denote	VERB
alkej-350	60	47	the	the	DET
alkej-350	60	48	output	output	NOUN
alkej-350	60	49	signal	signal	NOUN
alkej-350	60	50	,	,	PUNCT
alkej-350	60	51	the	the	DET
alkej-350	60	52	estimated	estimate	VERB
alkej-350	60	53	coefficient	coefficient	NOUN
alkej-350	60	54	vector	vector	NOUN
alkej-350	60	55	)	)	PUNCT
alkej-350	60	56	denotes	denote	VERB
alkej-350	60	57	an	an	DET
alkej-350	60	58	fig	fig	NOUN
alkej-350	60	59	.	.	PUNCT
alkej-350	61	1	1	1	X
alkej-350	61	2	.	.	X
alkej-350	61	3	adaptive	adaptive	ADJ
alkej-350	61	4	system	system	NOUN
alkej-350	61	5	identification	identification	NOUN
alkej-350	61	6	(	(	PUNCT
alkej-350	61	7	direct	direct	ADJ
alkej-350	61	8	system	system	NOUN
alkej-350	61	9	modeling	modeling	NOUN
alkej-350	61	10	)	)	PUNCT
alkej-350	61	11	.	.	PUNCT
alkej-350	62	1	�	�	PROPN
alkej-350	62	2	(	(	PUNCT
alkej-350	62	3	�	�	PROPN
alkej-350	62	4	)	)	PUNCT
alkej-350	62	5	=	=	SYM
alkej-350	62	6	�	�	PROPN
alkej-350	62	7	�	�	PROPN
alkej-350	62	8	(	(	PUNCT
alkej-350	62	9	�	�	PROPN
alkej-350	62	10	)	)	PUNCT
alkej-350	62	11	�	�	PROPN
alkej-350	62	12	+	+	SYM
alkej-350	62	13	�	�	PROPN
alkej-350	62	14	(	(	PUNCT
alkej-350	62	15	�	�	PROPN
alkej-350	62	16	)	)	PUNCT
alkej-350	62	17	�	�	PROPN
alkej-350	62	18	(	(	PUNCT
alkej-350	62	19	�	�	PROPN
alkej-350	62	20	)	)	PUNCT
alkej-350	62	21	=	=	SYM
alkej-350	62	22	�	�	PROPN
alkej-350	62	23	�	�	PROPN
alkej-350	62	24	(	(	PUNCT
alkej-350	62	25	�	�	PROPN
alkej-350	62	26	)	)	PUNCT
alkej-350	62	27	�	�	PROPN
alkej-350	62	28	�	�	PROPN
alkej-350	62	29	(	(	PUNCT
alkej-350	62	30	�	�	PROPN
alkej-350	62	31	)	)	PUNCT
alkej-350	62	32	�	�	PROPN
alkej-350	62	33	(	(	PUNCT
alkej-350	62	34	�	�	PROPN
alkej-350	62	35	)	)	PUNCT
alkej-350	62	36	=	=	SYM
alkej-350	62	37	�	�	PROPN
alkej-350	62	38	(	(	PUNCT
alkej-350	62	39	�	�	PROPN
alkej-350	62	40	)	)	PUNCT
alkej-350	62	41	−	−	PROPN
alkej-350	62	42	�	�	PROPN
alkej-350	62	43	(	(	PUNCT
alkej-350	62	44	�	�	PROPN
alkej-350	62	45	)	)	PUNCT
alkej-350	62	46	the	the	DET
alkej-350	62	47	cost	cost	NOUN
alkej-350	62	48	function	function	NOUN
alkej-350	62	49	of	of	ADP
alkej-350	62	50	traditional	traditional	ADJ
alkej-350	62	51	expressed	express	VERB
alkej-350	62	52	as	as	ADP
alkej-350	62	53	ℂ	ℂ	PROPN
alkej-350	62	54	(	(	PUNCT
alkej-350	62	55	�	�	PROPN
alkej-350	62	56	)	)	PUNCT
alkej-350	62	57	=	=	SYM
alkej-350	62	58	�	�	PROPN
alkej-350	62	59	�	�	PROPN
alkej-350	62	60	�	�	PROPN
alkej-350	62	61	(	(	PUNCT
alkej-350	62	62	�	�	PROPN
alkej-350	62	63	)	)	PUNCT
alkej-350	62	64	�	�	NOUN
alkej-350	62	65	the	the	DET
alkej-350	62	66	filter	filter	NOUN
alkej-350	62	67	coefficient	coefficient	NOUN
alkej-350	62	68	vector	vector	NOUN
alkej-350	62	69	for	for	ADP
alkej-350	62	70	lms	lm	NOUN
alkej-350	62	71	is	be	AUX
alkej-350	62	72	updated	update	VERB
alkej-350	62	73	by	by	ADP
alkej-350	62	74	:	:	PUNCT
alkej-350	62	75	�	�	PROPN
alkej-350	62	76	�	�	PROPN
alkej-350	62	77	(	(	PUNCT
alkej-350	62	78	�	�	PROPN
alkej-350	62	79	+	+	CCONJ
alkej-350	62	80	1	1	X
alkej-350	62	81	)	)	PUNCT
alkej-350	62	82	=	=	SYM
alkej-350	62	83	�	�	PROPN
alkej-350	62	84	�	�	PROPN
alkej-350	62	85	(	(	PUNCT
alkej-350	62	86	�	�	PROPN
alkej-350	62	87	)	)	PUNCT
alkej-350	63	1	−	−	PROPN
alkej-350	63	2	�	�	PROPN
alkej-350	63	3	�	�	PROPN
alkej-350	63	4	ℂ	ℂ	PROPN
alkej-350	63	5	(	(	PUNCT
alkej-350	63	6	�	�	NOUN
alkej-350	63	7	)	)	PUNCT
alkej-350	63	8	�	�	PROPN
alkej-350	63	9	�	�	PROPN
alkej-350	63	10	�	�	PROPN
alkej-350	63	11	(	(	PUNCT
alkej-350	63	12	�	�	PROPN
alkej-350	63	13	)	)	PUNCT
alkej-350	63	14	�	�	PROPN
alkej-350	63	15	�	�	PROPN
alkej-350	63	16	(	(	PUNCT
alkej-350	63	17	�	�	PROPN
alkej-350	63	18	+	+	CCONJ
alkej-350	63	19	1	1	X
alkej-350	63	20	)	)	PUNCT
alkej-350	63	21	=	=	SYM
alkej-350	63	22	�	�	PROPN
alkej-350	63	23	�	�	PROPN
alkej-350	63	24	(	(	PUNCT
alkej-350	63	25	�	�	PROPN
alkej-350	63	26	)	)	PUNCT
alkej-350	63	27	+	+	SYM
alkej-350	63	28	�	�	PROPN
alkej-350	63	29	�	�	PROPN
alkej-350	63	30	(	(	PUNCT
alkej-350	63	31	�	�	PROPN
alkej-350	63	32	)	)	PUNCT
alkej-350	63	33	�	�	PROPN
alkej-350	63	34	(	(	PUNCT
alkej-350	63	35	�	�	PROPN
alkej-350	63	36	)	)	PUNCT
alkej-350	63	37	where	where	SCONJ
alkej-350	63	38	�	�	PROPN
alkej-350	63	39	is	be	AUX
alkej-350	63	40	the	the	DET
alkej-350	63	41	step	step	NOUN
alkej-350	63	42	size	size	NOUN
alkej-350	63	43	of	of	ADP
alkej-350	63	44	adaptation	adaptation	NOUN
alkej-350	63	45	3	3	NUM
alkej-350	63	46	.	.	PUNCT
alkej-350	63	47	�	�	PROPN
alkej-350	63	48	�	�	PROPN
alkej-350	63	49	-lms	-lm	NOUN
alkej-350	63	50	algorithm	algorithm	NOUN
alkej-350	63	51	this	this	DET
alkej-350	63	52	algorithm	algorithm	NOUN
alkej-350	63	53	was	be	AUX
alkej-350	63	54	derived	derive	VERB
alkej-350	63	55	by	by	ADP
alkej-350	63	56	inserting	insert	VERB
alkej-350	63	57	an	an	DET
alkej-350	63	58	norm	norm	NOUN
alkej-350	63	59	constraint	constraint	NOUN
alkej-350	63	60	as	as	ADP
alkej-350	63	61	a	a	DET
alkej-350	63	62	sparsity	sparsity	NOUN
alkej-350	63	63	constraint	constraint	NOUN
alkej-350	63	64	to	to	ADP
alkej-350	63	65	the	the	DET
alkej-350	63	66	cost	cost	NOUN
alkej-350	63	67	function	function	NOUN
alkej-350	63	68	of	of	ADP
alkej-350	63	69	traditional	traditional	ADJ
alkej-350	63	70	lms	lm	NOUN
alkej-350	63	71	to	to	ADP
alkej-350	63	72	convergence	convergence	NOUN
alkej-350	63	73	of	of	ADP
alkej-350	63	74	lms	lm	NOUN
alkej-350	63	75	algorithm	algorithm	NOUN
alkej-350	63	76	for	for	ADP
alkej-350	63	77	sparse	sparse	ADJ
alkej-350	63	78	system	system	NOUN
alkej-350	63	79	identification	identification	NOUN
alkej-350	63	80	[	[	X
alkej-350	63	81	٤	٤	NUM
alkej-350	63	82	]	]	X
alkej-350	63	83	.	.	PUNCT
alkej-350	64	1	the	the	DET
alkej-350	64	2	cost	cost	NOUN
alkej-350	64	3	function	function	NOUN
alkej-350	64	4	is	be	AUX
alkej-350	64	5	presented	present	VERB
alkej-350	64	6	by	by	ADP
alkej-350	64	7	the	the	DET
alkej-350	64	8	factorization	factorization	NOUN
alkej-350	64	9	ℂ	ℂ	PROPN
alkej-350	64	10	(	(	PUNCT
alkej-350	64	11	�	�	PROPN
alkej-350	64	12	)	)	PUNCT
alkej-350	64	13	=	=	NOUN
alkej-350	64	14	12	12	NUM
alkej-350	64	15	�	�	PROPN
alkej-350	64	16	(	(	PUNCT
alkej-350	64	17	�	�	PROPN
alkej-350	64	18	)	)	PUNCT
alkej-350	64	19	�	�	PROPN
alkej-350	64	20	+	+	SYM
alkej-350	64	21	�	�	PROPN
alkej-350	64	22	�	�	PROPN
alkej-350	64	23	�	�	PROPN
alkej-350	64	24	�	�	PROPN
alkej-350	64	25	(	(	PUNCT
alkej-350	64	26	1	1	NUM
alkej-350	64	27	�	�	PROPN
alkej-350	64	28	�	�	PROPN
alkej-350	64	29	�	�	PROPN
alkej-350	64	30	�	�	PROPN
alkej-350	64	31	−	−	PROPN
alkej-350	64	32	�	�	PROPN
alkej-350	64	33	�	�	PROPN
alkej-350	64	34	the	the	DET
alkej-350	64	35	update	update	NOUN
alkej-350	64	36	of	of	ADP
alkej-350	64	37	adaptive	adaptive	ADJ
alkej-350	64	38	filter	filter	NOUN
alkej-350	64	39	coefficient	coefficient	NOUN
alkej-350	64	40	:	:	PUNCT
alkej-350	64	41	�	�	PROPN
alkej-350	64	42	�	�	PROPN
alkej-350	64	43	(	(	PUNCT
alkej-350	64	44	�	�	PROPN
alkej-350	64	45	+	+	CCONJ
alkej-350	65	1	1	1	X
alkej-350	65	2	)	)	PUNCT
alkej-350	65	3	=	=	SYM
alkej-350	65	4	�	�	PROPN
alkej-350	65	5	�	�	PROPN
alkej-350	65	6	(	(	PUNCT
alkej-350	65	7	�	�	PROPN
alkej-350	65	8	)	)	PUNCT
alkej-350	65	9	+	+	CCONJ
alkej-350	65	10	�	�	PROPN
alkej-350	65	11	�	�	PROPN
alkej-350	65	12	(	(	PUNCT
alkej-350	65	13	�	�	PROPN
alkej-350	65	14	)	)	PUNCT
alkej-350	65	15	�	�	PROPN
alkej-350	65	16	(	(	PUNCT
alkej-350	65	17	�	�	PROPN
alkej-350	65	18	)	)	PUNCT
alkej-350	65	19	�	�	PROPN
alkej-350	65	20	(	(	PUNCT
alkej-350	65	21	�	�	PROPN
alkej-350	65	22	)	)	PUNCT
alkej-350	65	23	=	=	SYM
alkej-350	65	24	�	�	PROPN
alkej-350	65	25	�	�	PROPN
alkej-350	65	26	�	�	PROPN
alkej-350	65	27	�	�	PROPN
alkej-350	65	28	(	(	PUNCT
alkej-350	65	29	�	�	PROPN
alkej-350	65	30	�	�	PROPN
alkej-350	65	31	(	(	PUNCT
alkej-350	65	32	�	�	PROPN
alkej-350	65	33	)	)	PUNCT
alkej-350	65	34	)	)	PUNCT
alkej-350	66	1	�	�	PROPN
alkej-350	66	2	�	�	PROPN
alkej-350	66	3	�	�	PROPN
alkej-350	66	4	|	|	NOUN
alkej-350	66	5	�	�	PROPN
alkej-350	66	6	�	�	PROPN
alkej-350	66	7	(	(	PUNCT
alkej-350	66	8	�	�	PROPN
alkej-350	66	9	)	)	PUNCT
alkej-350	66	10	|	|	ADV
alkej-350	66	11	where	where	SCONJ
alkej-350	66	12	�	�	PROPN
alkej-350	66	13	�	�	PROPN
alkej-350	66	14	�	�	PROPN
alkej-350	66	15	=	=	SYM
alkej-350	66	16	�	�	PROPN
alkej-350	66	17	�	�	PROPN
alkej-350	66	18	�	�	PROPN
alkej-350	66	19	�	�	PROPN
alkej-350	66	20	is	be	AUX
alkej-350	66	21	a	a	DET
alkej-350	66	22	parameter	parameter	NOUN
alkej-350	66	23	stabilize	stabilize	VERB
alkej-350	66	24	the	the	DET
alkej-350	66	25	estimation	estimation	NOUN
alkej-350	66	26	of	of	ADP
alkej-350	66	27	error	error	NOUN
alkej-350	66	28	and	and	CCONJ
alkej-350	66	29	the	the	DET
alkej-350	66	30	constraint	constraint	NOUN
alkej-350	66	31	,	,	PUNCT
alkej-350	66	32	parameter	parameter	PROPN
alkej-350	66	33	β	β	PROPN
alkej-350	66	34	is	be	AUX
alkej-350	66	35	a	a	DET
alkej-350	66	36	positive	positive	ADJ
alkej-350	66	37	value	value	NOUN
alkej-350	66	38	that	that	PRON
alkej-350	66	39	is	be	AUX
alkej-350	66	40	applied	apply	VERB
alkej-350	66	41	to	to	PART
alkej-350	66	42	define	define	VERB
alkej-350	66	43	the	the	DET
alkej-350	66	44	area	area	NOUN
alkej-350	66	45	of	of	ADP
alkej-350	66	46	zero	zero	NUM
alkej-350	66	47	attraction	attraction	NOUN
alkej-350	66	48	[	[	X
alkej-350	66	49	4	4	NUM
alkej-350	66	50	]	]	PUNCT
alkej-350	66	51	,	,	PUNCT
alkej-350	66	52	sgn	sgn	NOUN
alkej-350	66	53	(	(	PUNCT
alkej-350	66	54	∙)is	∙)is	NOUN
alkej-350	66	55	a	a	DET
alkej-350	66	56	component	component	NOUN
alkej-350	66	57	-	-	PUNCT
alkej-350	66	58	wise	wise	ADJ
alkej-350	66	59	sign	sign	NOUN
alkej-350	66	60	function	function	NOUN
alkej-350	66	61	defined	define	VERB
alkej-350	66	62	as	as	ADP
alkej-350	66	63	,	,	PUNCT
alkej-350	66	64	p.p	p.p	PROPN
alkej-350	66	65	.	.	NOUN
alkej-350	66	66	6269(2017	6269(2017	NUM
alkej-350	66	67	)	)	PUNCT
alkej-350	66	68	1	1	NUM
alkej-350	66	69	.	.	PUNCT
alkej-350	66	70	adaptive	adaptive	ADJ
alkej-350	66	71	system	system	NOUN
alkej-350	66	72	identification	identification	NOUN
alkej-350	66	73	(	(	PUNCT
alkej-350	66	74	direct	direct	ADJ
alkej-350	66	75	…	…	PUNCT
alkej-350	66	76	(	(	PUNCT
alkej-350	66	77	1	1	NUM
alkej-350	66	78	)	)	PUNCT
alkej-350	66	79	…	…	PUNCT
alkej-350	66	80	(	(	PUNCT
alkej-350	66	81	2	2	NUM
alkej-350	66	82	)	)	PUNCT
alkej-350	66	83	…	…	PUNCT
alkej-350	66	84	(	(	PUNCT
alkej-350	66	85	3	3	X
alkej-350	66	86	)	)	PUNCT
alkej-350	66	87	traditionallms	traditionallm	NOUN
alkej-350	66	88	ℂ	ℂ	PROPN
alkej-350	66	89	(	(	PUNCT
alkej-350	66	90	�	�	PROPN
alkej-350	66	91	)	)	PUNCT
alkej-350	66	92	is	be	AUX
alkej-350	66	93	…	…	PUNCT
alkej-350	66	94	(	(	PUNCT
alkej-350	66	95	4	4	X
alkej-350	66	96	)	)	PUNCT
alkej-350	66	97	coefficient	coefficient	NOUN
alkej-350	66	98	vector	vector	NOUN
alkej-350	66	99	for	for	ADP
alkej-350	66	100	lms	lm	NOUN
alkej-350	66	101	is	be	AUX
alkej-350	66	102	(	(	PUNCT
alkej-350	66	103	)	)	PUNCT
alkej-350	66	104	…	…	PUNCT
alkej-350	66	105	(	(	PUNCT
alkej-350	66	106	5	5	NUM
alkej-350	66	107	)	)	PUNCT
alkej-350	66	108	is	be	AUX
alkej-350	66	109	the	the	DET
alkej-350	66	110	step	step	NOUN
alkej-350	66	111	size	size	NOUN
alkej-350	66	112	of	of	ADP
alkej-350	66	113	adaptation	adaptation	NOUN
alkej-350	66	114	[	[	X
alkej-350	66	115	1	1	NUM
alkej-350	66	116	]	]	PUNCT
alkej-350	66	117	.	.	PUNCT
alkej-350	67	1	this	this	DET
alkej-350	67	2	algorithm	algorithm	NOUN
alkej-350	67	3	was	be	AUX
alkej-350	67	4	derived	derive	VERB
alkej-350	67	5	by	by	ADP
alkej-350	67	6	inserting	insert	VERB
alkej-350	67	7	anℓ	anℓ	NOUN
alkej-350	67	8	�	�	PROPN
alkej-350	67	9	norm	norm	NOUN
alkej-350	67	10	constraint	constraint	NOUN
alkej-350	67	11	as	as	ADP
alkej-350	67	12	a	a	DET
alkej-350	67	13	sparsity	sparsity	NOUN
alkej-350	67	14	constraint	constraint	NOUN
alkej-350	67	15	to	to	ADP
alkej-350	67	16	the	the	DET
alkej-350	67	17	cost	cost	NOUN
alkej-350	67	18	lms	lm	NOUN
alkej-350	67	19	to	to	PART
alkej-350	67	20	improve	improve	VERB
alkej-350	67	21	the	the	DET
alkej-350	67	22	convergence	convergence	NOUN
alkej-350	67	23	of	of	ADP
alkej-350	67	24	lms	lm	NOUN
alkej-350	67	25	algorithm	algorithm	NOUN
alkej-350	67	26	for	for	ADP
alkej-350	67	27	sparse	sparse	ADJ
alkej-350	67	28	system	system	NOUN
alkej-350	67	29	the	the	DET
alkej-350	67	30	cost	cost	NOUN
alkej-350	67	31	function	function	NOUN
alkej-350	67	32	is	be	AUX
alkej-350	67	33	presented	present	VERB
alkej-350	67	34	by	by	ADP
alkej-350	67	35	the	the	DET
alkej-350	67	36	factorization	factorization	NOUN
alkej-350	67	37	�	�	PROPN
alkej-350	67	38	�	�	PROPN
alkej-350	67	39	|	|	NOUN
alkej-350	67	40	�	�	PROPN
alkej-350	67	41	�	�	PROPN
alkej-350	67	42	�	�	PROPN
alkej-350	67	43	(	(	PUNCT
alkej-350	67	44	�	�	PROPN
alkej-350	67	45	)	)	PUNCT
alkej-350	67	46	|	|	NOUN
alkej-350	67	47	)	)	PUNCT
alkej-350	67	48	…	…	PUNCT
alkej-350	67	49	(	(	PUNCT
alkej-350	67	50	6	6	X
alkej-350	67	51	)	)	PUNCT
alkej-350	67	52	the	the	DET
alkej-350	67	53	update	update	NOUN
alkej-350	67	54	of	of	ADP
alkej-350	67	55	adaptive	adaptive	ADJ
alkej-350	67	56	filter	filter	NOUN
alkej-350	67	57	coefficient	coefficient	NOUN
alkej-350	67	58	:	:	PUNCT
alkej-350	67	59	(	(	PUNCT
alkej-350	67	60	)	)	PUNCT
alkej-350	67	61	−	−	PROPN
alkej-350	67	62	�	�	PROPN
alkej-350	67	63	�	�	PROPN
alkej-350	67	64	�	�	PROPN
alkej-350	67	65	�	�	PROPN
alkej-350	67	66	(	(	PUNCT
alkej-350	67	67	�	�	PROPN
alkej-350	67	68	)	)	PUNCT
alkej-350	67	69	…	…	PUNCT
alkej-350	67	70	(	(	PUNCT
alkej-350	67	71	7	7	NUM
alkej-350	67	72	)	)	PUNCT
alkej-350	67	73	…	…	PUNCT
alkej-350	67	74	(	(	PUNCT
alkej-350	67	75	8)	8)	NUM
alkej-350	67	76	is	be	AUX
alkej-350	67	77	a	a	DET
alkej-350	67	78	parameter	parameter	NOUN
alkej-350	67	79	used	use	VERB
alkej-350	67	80	to	to	ADP
alkej-350	67	81	error	error	NOUN
alkej-350	67	82	and	and	CCONJ
alkej-350	67	83	the	the	DET
alkej-350	67	84	latest	late	ADJ
alkej-350	67	85	,	,	PUNCT
alkej-350	67	86	parameter	parameter	PROPN
alkej-350	67	87	β	β	PROPN
alkej-350	67	88	is	be	AUX
alkej-350	67	89	a	a	DET
alkej-350	67	90	positive	positive	ADJ
alkej-350	67	91	value	value	NOUN
alkej-350	67	92	that	that	PRON
alkej-350	67	93	is	be	AUX
alkej-350	67	94	applied	apply	VERB
alkej-350	67	95	to	to	PART
alkej-350	67	96	define	define	VERB
alkej-350	67	97	the	the	DET
alkej-350	67	98	area	area	NOUN
alkej-350	67	99	of	of	ADP
alkej-350	67	100	zero	zero	NUM
alkej-350	67	101	attraction	attraction	NOUN
alkej-350	67	102	[	[	X
alkej-350	67	103	4	4	NUM
alkej-350	67	104	]	]	PUNCT
alkej-350	67	105	,	,	PUNCT
alkej-350	67	106	wise	wise	ADJ
alkej-350	67	107	sign	sign	NOUN
alkej-350	67	108	function	function	NOUN
alkej-350	67	109	which	which	DET
alkej-350	67	110	pdf	pdf	NOUN
alkej-350	67	111	created	create	VERB
alkej-350	67	112	with	with	ADP
alkej-350	67	113	pdffactory	pdffactory	ADJ
alkej-350	67	114	trial	trial	NOUN
alkej-350	67	115	version	version	NOUN
alkej-350	67	116	www.pdffactory.com	www.pdffactory.com	X
alkej-350	67	117	http://www.pdffactory.com	http://www.pdffactory.com	X
alkej-350	67	118	http://www.pdffactory.com	http://www.pdffactory.com	X
alkej-350	68	1	mahmood	mahmood	PROPN
alkej-350	69	1	a.k	a.k	PROPN
alkej-350	69	2	abdulsattar	abdulsattar	PROPN
alkej-350	69	3	al	al	PROPN
alkej-350	69	4	-	-	PUNCT
alkej-350	69	5	khwarizmi	khwarizmi	PROPN
alkej-350	69	6	engineering	engineering	NOUN
alkej-350	69	7	journal	journal	PROPN
alkej-350	69	8	,	,	PUNCT
alkej-350	69	9	vol	vol	NOUN
alkej-350	69	10	.	.	PROPN
alkej-350	69	11	13	13	NUM
alkej-350	69	12	,	,	PUNCT
alkej-350	69	13	no	no	INTJ
alkej-350	69	14	.	.	PUNCT
alkej-350	69	15	�	�	PROPN
alkej-350	69	16	�	�	PROPN
alkej-350	69	17	�	�	PROPN
alkej-350	69	18	(	(	PUNCT
alkej-350	69	19	�	�	PROPN
alkej-350	69	20	)	)	PUNCT
alkej-350	69	21	=	=	SYM
alkej-350	69	22	�	�	PROPN
alkej-350	69	23	�	�	PROPN
alkej-350	69	24	|	|	NOUN
alkej-350	69	25	�	�	PROPN
alkej-350	69	26	|⁄	|⁄	NUM
alkej-350	69	27	�	�	PROPN
alkej-350	69	28	≠	≠	PROPN
alkej-350	69	29	00	00	NUM
alkej-350	69	30	�	�	PROPN
alkej-350	69	31	=	=	SYM
alkej-350	69	32	0	0	NUM
alkej-350	69	33	�	�	NOUN
alkej-350	69	34	by	by	ADP
alkej-350	69	35	using	use	VERB
alkej-350	69	36	the	the	DET
alkej-350	69	37	first	first	ADJ
alkej-350	69	38	order	order	NOUN
alkej-350	69	39	taylor	taylor	PROPN
alkej-350	69	40	series	series	PROPN
alkej-350	69	41	of	of	ADP
alkej-350	69	42	exponential	exponential	ADJ
alkej-350	69	43	functions	function	NOUN
alkej-350	69	44	,	,	PUNCT
alkej-350	69	45	the	the	DET
alkej-350	69	46	computational	computational	ADJ
alkej-350	69	47	complexity	complexity	NOUN
alkej-350	69	48	of	of	ADP
alkej-350	69	49	(	(	PUNCT
alkej-350	69	50	٧	٧	NUM
alkej-350	69	51	)	)	PUNCT
alkej-350	69	52	can	can	AUX
alkej-350	69	53	be	be	AUX
alkej-350	69	54	reduced	reduce	VERB
alkej-350	69	55	as	as	SCONJ
alkej-350	69	56	followed	follow	VERB
alkej-350	69	57	[	[	X
alkej-350	69	58	�	�	PROPN
alkej-350	69	59	�	�	PROPN
alkej-350	69	60	�	�	PROPN
alkej-350	69	61	|	|	NOUN
alkej-350	69	62	�	�	PROPN
alkej-350	69	63	|	|	PROPN
alkej-350	69	64	≈	≈	PROPN
alkej-350	69	65	�	�	PROPN
alkej-350	69	66	1	1	NUM
alkej-350	69	67	−	−	PROPN
alkej-350	69	68	�	�	PROPN
alkej-350	69	69	|	|	NOUN
alkej-350	69	70	�	�	PROPN
alkej-350	69	71	||	||	NOUN
alkej-350	69	72	�	�	PROPN
alkej-350	69	73	|	|	NOUN
alkej-350	69	74	≤	≤	NUM
alkej-350	69	75	1	1	NUM
alkej-350	69	76	�	�	PROPN
alkej-350	69	77	�	�	PROPN
alkej-350	69	78	0	0	NUM
alkej-350	69	79	�	�	PROPN
alkej-350	69	80	�	�	PROPN
alkej-350	69	81	�	�	PROPN
alkej-350	69	82	�	�	PROPN
alkej-350	69	83	�	�	PROPN
alkej-350	69	84	ℎ	ℎ	PROPN
alkej-350	69	85	�	�	PROPN
alkej-350	69	86	�	�	PROPN
alkej-350	69	87	�	�	PROPN
alkej-350	69	88	�	�	PROPN
alkej-350	69	89	substituting	substituting	NOUN
alkej-350	69	90	(	(	PUNCT
alkej-350	69	91	9	9	NUM
alkej-350	69	92	)	)	PUNCT
alkej-350	69	93	and	and	CCONJ
alkej-350	69	94	(	(	PUNCT
alkej-350	69	95	10	10	NUM
alkej-350	69	96	)	)	PUNCT
alkej-350	69	97	into	into	ADP
alkej-350	69	98	(	(	PUNCT
alkej-350	69	99	8)	8)	NUM
alkej-350	69	100	,	,	PUNCT
alkej-350	69	101	function	function	NOUN
alkej-350	69	102	can	can	AUX
alkej-350	69	103	be	be	AUX
alkej-350	69	104	expressed	express	VERB
alkej-350	69	105	clearly	clearly	ADV
alkej-350	69	106	as	as	ADP
alkej-350	69	107	�	�	PROPN
alkej-350	69	108	(	(	PUNCT
alkej-350	69	109	�	�	PROPN
alkej-350	69	110	)	)	PUNCT
alkej-350	69	111	=	=	PRON
alkej-350	70	1	⎩⎨	⎩⎨	NOUN
alkej-350	70	2	⎧−	⎧−	PROPN
alkej-350	70	3	�	�	PROPN
alkej-350	70	4	�	�	PROPN
alkej-350	70	5	�	�	PROPN
alkej-350	70	6	�	�	PROPN
alkej-350	70	7	(	(	PUNCT
alkej-350	70	8	�	�	PROPN
alkej-350	70	9	)	)	PUNCT
alkej-350	70	10	−	−	PROPN
alkej-350	70	11	�	�	PROPN
alkej-350	70	12	,	,	PUNCT
alkej-350	70	13	−	−	PROPN
alkej-350	70	14	1	1	NUM
alkej-350	70	15	�	�	PROPN
alkej-350	70	16	�	�	PROPN
alkej-350	70	17	≤	≤	NUM
alkej-350	70	18	ℎ	ℎ	PROPN
alkej-350	70	19	�	�	PROPN
alkej-350	70	20	�	�	PROPN
alkej-350	70	21	(	(	PUNCT
alkej-350	70	22	�	�	PROPN
alkej-350	70	23	)	)	PUNCT
alkej-350	70	24	<	<	X
alkej-350	70	25	0−	0−	NUM
alkej-350	70	26	�	�	PROPN
alkej-350	70	27	�	�	PROPN
alkej-350	70	28	�	�	PROPN
alkej-350	70	29	�	�	PROPN
alkej-350	70	30	(	(	PUNCT
alkej-350	70	31	�	�	PROPN
alkej-350	70	32	)	)	PUNCT
alkej-350	70	33	+	+	NUM
alkej-350	70	34	�	�	PROPN
alkej-350	70	35	,	,	PUNCT
alkej-350	70	36	0	0	NUM
alkej-350	70	37	≤	≤	NUM
alkej-350	70	38	ℎ	ℎ	VERB
alkej-350	70	39	�	�	PROPN
alkej-350	70	40	�	�	PROPN
alkej-350	70	41	(	(	PUNCT
alkej-350	70	42	�	�	PROPN
alkej-350	70	43	)	)	PUNCT
alkej-350	70	44	<	<	X
alkej-350	70	45	1	1	NUM
alkej-350	70	46	�	�	PROPN
alkej-350	70	47	�	�	PROPN
alkej-350	70	48	0	0	NUM
alkej-350	70	49	,	,	PUNCT
alkej-350	70	50	�	�	PROPN
alkej-350	70	51	�	�	PROPN
alkej-350	70	52	�	�	PROPN
alkej-350	70	53	�	�	PROPN
alkej-350	70	54	�	�	PROPN
alkej-350	70	55	ℎ	ℎ	PROPN
alkej-350	70	56	�	�	PROPN
alkej-350	70	57	�	�	PROPN
alkej-350	70	58	�	�	PROPN
alkej-350	70	59	fig	fig	NOUN
alkej-350	70	60	.	.	PUNCT
alkej-350	71	1	2	2	NUM
alkej-350	71	2	describes	describe	VERB
alkej-350	71	3	the	the	DET
alkej-350	71	4	characteristic	characteristic	NOUN
alkej-350	71	5	of	of	ADP
alkej-350	71	6	the	the	DET
alkej-350	71	7	function	function	NOUN
alkej-350	71	8	s(x	s(x	PROPN
alkej-350	71	9	)	)	PUNCT
alkej-350	71	10	,	,	PUNCT
alkej-350	71	11	which	which	PRON
alkej-350	71	12	has	have	VERB
alkej-350	71	13	zero	zero	NUM
alkej-350	71	14	-	-	PUNCT
alkej-350	71	15	attraction	attraction	NOUN
alkej-350	71	16	effect	effect	NOUN
alkej-350	71	17	.	.	PUNCT
alkej-350	72	1	fig	fig	NOUN
alkej-350	72	2	.	.	PUNCT
alkej-350	73	1	2	2	X
alkej-350	73	2	.	.	X
alkej-350	73	3	function	function	NOUN
alkej-350	73	4	s(n	s(n	PROPN
alkej-350	73	5	)	)	PUNCT
alkej-350	73	6	for	for	ADP
alkej-350	73	7	zero	zero	NUM
alkej-350	73	8	-	-	PUNCT
alkej-350	73	9	attraction	attraction	NOUN
alkej-350	73	10	effect	effect	NOUN
alkej-350	73	11	.	.	PUNCT
alkej-350	74	1	4	4	X
alkej-350	74	2	.	.	X
alkej-350	74	3	(	(	PUNCT
alkej-350	74	4	za	za	NOUN
alkej-350	74	5	-	-	NOUN
alkej-350	74	6	lms	lm	NOUN
alkej-350	74	7	)	)	PUNCT
alkej-350	74	8	and	and	CCONJ
alkej-350	74	9	(	(	PUNCT
alkej-350	74	10	rza	rza	NOUN
alkej-350	74	11	-	-	PUNCT
alkej-350	74	12	lms	lms	PROPN
alkej-350	74	13	)	)	PUNCT
alkej-350	74	14	algorithm	algorithm	NOUN
alkej-350	74	15	in	in	ADP
alkej-350	74	16	the	the	DET
alkej-350	74	17	zero	zero	NUM
alkej-350	74	18	attractor	attractor	NOUN
alkej-350	74	19	,	,	PUNCT
alkej-350	74	20	a	a	DET
alkej-350	74	21	cost	cost	NOUN
alkej-350	74	22	function	function	NOUN
alkej-350	74	23	ℂ	ℂ	PROPN
alkej-350	74	24	�	�	PROPN
alkej-350	74	25	�	�	PROPN
alkej-350	74	26	defined	define	VERB
alkej-350	74	27	by	by	ADP
alkej-350	74	28	combining	combine	VERB
alkej-350	74	29	square	square	ADJ
alkej-350	74	30	error	error	NOUN
alkej-350	74	31	and	and	CCONJ
alkej-350	74	32	penalty	penalty	NOUN
alkej-350	74	33	of	of	ADP
alkej-350	74	34	estimation	estimation	NOUN
alkej-350	74	35	coefficients	coefficient	VERB
alkej-350	74	36	vector	vector	NOUN
alkej-350	74	37	sparsity	sparsity	NOUN
alkej-350	74	38	constraint	constraint	NOUN
alkej-350	74	39	ℂ	ℂ	PROPN
alkej-350	74	40	�	�	PROPN
alkej-350	74	41	�	�	PROPN
alkej-350	74	42	(	(	PUNCT
alkej-350	74	43	�	�	PROPN
alkej-350	74	44	)	)	PUNCT
alkej-350	74	45	=	=	SYM
alkej-350	74	46	�	�	PROPN
alkej-350	74	47	�	�	PROPN
alkej-350	74	48	�	�	PROPN
alkej-350	74	49	(	(	PUNCT
alkej-350	74	50	�	�	PROPN
alkej-350	74	51	)	)	PUNCT
alkej-350	74	52	�	�	PROPN
alkej-350	74	53	+	+	SYM
alkej-350	74	54	�	�	PROPN
alkej-350	74	55	�	�	PROPN
alkej-350	74	56	�	�	PROPN
alkej-350	74	57	||	||	PROPN
alkej-350	74	58	�	�	PROPN
alkej-350	74	59	�	�	PROPN
alkej-350	74	60	(	(	PUNCT
alkej-350	74	61	�	�	PROPN
alkej-350	74	62	)||	)||	VERB
alkej-350	74	63	�	�	PROPN
alkej-350	74	64	the	the	DET
alkej-350	74	65	update	update	NOUN
alkej-350	74	66	filter	filter	NOUN
alkej-350	74	67	of	of	ADP
alkej-350	74	68	(	(	PUNCT
alkej-350	74	69	za	za	PROPN
alkej-350	74	70	-	-	NOUN
alkej-350	74	71	lms	lm	NOUN
alkej-350	74	72	)	)	PUNCT
alkej-350	74	73	is	be	AUX
alkej-350	74	74	determined	determine	VERB
alkej-350	74	75	equally	equally	ADV
alkej-350	74	76	�	�	PROPN
alkej-350	74	77	�	�	PROPN
alkej-350	74	78	(	(	PUNCT
alkej-350	74	79	�	�	PROPN
alkej-350	74	80	+	+	CCONJ
alkej-350	74	81	1	1	X
alkej-350	74	82	)	)	PUNCT
alkej-350	74	83	=	=	SYM
alkej-350	74	84	�	�	PROPN
alkej-350	74	85	�	�	PROPN
alkej-350	74	86	(	(	PUNCT
alkej-350	74	87	�	�	PROPN
alkej-350	74	88	)	)	PUNCT
alkej-350	74	89	+	+	SYM
alkej-350	74	90	�	�	PROPN
alkej-350	74	91	�	�	PROPN
alkej-350	74	92	(	(	PUNCT
alkej-350	74	93	�	�	PROPN
alkej-350	74	94	)	)	PUNCT
alkej-350	74	95	�	�	PROPN
alkej-350	74	96	(	(	PUNCT
alkej-350	74	97	�	�	PROPN
alkej-350	74	98	)	)	PUNCT
alkej-350	75	1	−	−	PROPN
alkej-350	75	2	�	�	PROPN
alkej-350	75	3	�	�	PROPN
alkej-350	75	4	�	�	PROPN
alkej-350	75	5	�	�	PROPN
alkej-350	75	6	�	�	PROPN
alkej-350	75	7	�	�	PROPN
alkej-350	75	8	(	(	PUNCT
alkej-350	75	9	�	�	PROPN
alkej-350	75	10	�	�	PROPN
alkej-350	75	11	(	(	PUNCT
alkej-350	75	12	�	�	PROPN
alkej-350	75	13	)	)	PUNCT
alkej-350	75	14	)	)	PUNCT
alkej-350	75	15	where	where	SCONJ
alkej-350	75	16	�	�	PROPN
alkej-350	75	17	�	�	PROPN
alkej-350	75	18	�	�	PROPN
alkej-350	75	19	=	=	SYM
alkej-350	75	20	�	�	PROPN
alkej-350	75	21	�	�	PROPN
alkej-350	75	22	�	�	PROPN
alkej-350	75	23	�	�	PROPN
alkej-350	75	24	is	be	AUX
alkej-350	75	25	the	the	DET
alkej-350	75	26	factor	factor	NOUN
alkej-350	75	27	used	use	VERB
alkej-350	75	28	to	to	PART
alkej-350	75	29	control	control	VERB
alkej-350	75	30	the	the	DET
alkej-350	75	31	force	force	NOUN
alkej-350	75	32	of	of	ADP
alkej-350	75	33	sparsity	sparsity	NOUN
alkej-350	75	34	penalty.in	penalty.in	X
alkej-350	75	35	za	za	PROPN
alkej-350	75	36	-	-	NOUN
alkej-350	75	37	lms	lm	NOUN
alkej-350	75	38	all	all	DET
alkej-350	75	39	taps	tap	NOUN
alkej-350	75	40	are	be	AUX
alkej-350	75	41	forced	force	VERB
alkej-350	75	42	to	to	ADP
alkej-350	75	43	zero	zero	NUM
alkej-350	75	44	uniformly	uniformly	ADV
alkej-350	75	45	,	,	PUNCT
alkej-350	75	46	and	and	CCONJ
alkej-350	76	1	its	its	PRON
alkej-350	76	2	performance	performance	NOUN
alkej-350	76	3	will	will	AUX
alkej-350	76	4	weaken	weaken	VERB
alkej-350	76	5	in	in	ADP
alkej-350	76	6	not	not	PART
alkej-350	76	7	sparse	sparse	ADJ
alkej-350	76	8	systems	system	NOUN
alkej-350	76	9	,	,	PUNCT
alkej-350	76	10	then	then	ADV
alkej-350	76	11	lms	lm	NOUN
alkej-350	76	12	use	use	VERB
alkej-350	76	13	individual	individual	ADJ
alkej-350	76	14	zero	zero	NUM
alkej-350	76	15	attractors	attractor	NOUN
alkej-350	76	16	for	for	ADP
alkej-350	76	17	different	different	ADJ
alkej-350	76	18	filter	filter	NOUN
alkej-350	76	19	taps	tap	NOUN
alkej-350	76	20	and	and	CCONJ
alkej-350	76	21	its	its	PRON
alkej-350	76	22	cost	cost	NOUN
alkej-350	76	23	function	function	NOUN
alkej-350	76	24	is	be	AUX
alkej-350	76	25	ℂ	ℂ	PROPN
alkej-350	76	26	�	�	PROPN
alkej-350	76	27	�	�	PROPN
alkej-350	76	28	�	�	PROPN
alkej-350	76	29	(	(	PUNCT
alkej-350	76	30	�	�	PROPN
alkej-350	76	31	)	)	PUNCT
alkej-350	76	32	=	=	SYM
alkej-350	76	33	�	�	PROPN
alkej-350	76	34	�	�	PROPN
alkej-350	76	35	�	�	PROPN
alkej-350	76	36	(	(	PUNCT
alkej-350	76	37	�	�	PROPN
alkej-350	76	38	)	)	PUNCT
alkej-350	76	39	�	�	PROPN
alkej-350	76	40	+	+	SYM
alkej-350	76	41	�	�	PROPN
alkej-350	76	42	�	�	PROPN
alkej-350	76	43	�	�	PROPN
alkej-350	76	44	�	�	PROPN
alkej-350	76	45	∑	∑	ADV
alkej-350	76	46	log	log	PROPN
alkej-350	76	47	�	�	PROPN
alkej-350	76	48	�	�	PROPN
alkej-350	76	49	(1	(1	PROPN
alkej-350	76	50	+	+	PROPN
alkej-350	76	51	�	�	PROPN
alkej-350	76	52	�	�	PROPN
alkej-350	76	53	�	�	PROPN
alkej-350	76	54	�	�	PROPN
alkej-350	76	55	�	�	PROPN
alkej-350	76	56	|ℎ	|ℎ	PROPN
alkej-350	76	57	�	�	PROPN
alkej-350	76	58	�	�	PROPN
alkej-350	76	59	(	(	PUNCT
alkej-350	76	60	�	�	NOUN
alkej-350	76	61	)|	)|	NOUN
alkej-350	76	62	)	)	PUNCT
alkej-350	76	63	the	the	DET
alkej-350	76	64	update	update	NOUN
alkej-350	76	65	filter	filter	NOUN
alkej-350	76	66	of	of	ADP
alkej-350	76	67	(	(	PUNCT
alkej-350	76	68	rza	rza	PROPN
alkej-350	76	69	-	-	PUNCT
alkej-350	76	70	lms	lm	NOUN
alkej-350	76	71	)	)	PUNCT
alkej-350	76	72	is	be	AUX
alkej-350	76	73	defined	define	VERB
alkej-350	76	74	as	as	ADP
alkej-350	76	75	khwarizmi	khwarizmi	NOUN
alkej-350	76	76	engineering	engineering	PROPN
alkej-350	76	77	journal	journal	PROPN
alkej-350	76	78	,	,	PUNCT
alkej-350	76	79	vol	vol	NOUN
alkej-350	76	80	.	.	PROPN
alkej-350	76	81	13	13	NUM
alkej-350	76	82	,	,	PUNCT
alkej-350	76	83	no	no	INTJ
alkej-350	76	84	.	.	NOUN
alkej-350	76	85	2	2	NUM
alkej-350	76	86	,	,	PUNCT
alkej-350	76	87	p.p	p.p	PROPN
alkej-350	76	88	.	.	PROPN
alkej-350	76	89	64	64	NUM
alkej-350	76	90	…	…	PUNCT
alkej-350	76	91	(	(	PUNCT
alkej-350	76	92	9	9	NUM
alkej-350	76	93	)	)	PUNCT
alkej-350	76	94	st	st	NOUN
alkej-350	76	95	order	order	NOUN
alkej-350	76	96	taylor	taylor	PROPN
alkej-350	76	97	series	series	PROPN
alkej-350	76	98	of	of	ADP
alkej-350	76	99	exponential	exponential	ADJ
alkej-350	76	100	functions	function	NOUN
alkej-350	76	101	,	,	PUNCT
alkej-350	76	102	the	the	DET
alkej-350	76	103	computational	computational	ADJ
alkej-350	76	104	)	)	PUNCT
alkej-350	76	105	can	can	AUX
alkej-350	76	106	be	be	AUX
alkej-350	76	107	reduced	reduce	VERB
alkej-350	76	108	as	as	SCONJ
alkej-350	76	109	followed	follow	VERB
alkej-350	76	110	[	[	X
alkej-350	76	111	٤	٤	X
alkej-350	76	112	]	]	X
alkej-350	76	113	,	,	PUNCT
alkej-350	76	114	…	…	PUNCT
alkej-350	76	115	(	(	PUNCT
alkej-350	76	116	10	10	NUM
alkej-350	76	117	)	)	PUNCT
alkej-350	76	118	substituting	substitute	VERB
alkej-350	76	119	(	(	PUNCT
alkej-350	76	120	9	9	NUM
alkej-350	76	121	)	)	PUNCT
alkej-350	76	122	and	and	CCONJ
alkej-350	76	123	(	(	PUNCT
alkej-350	76	124	10	10	NUM
alkej-350	76	125	)	)	PUNCT
alkej-350	76	126	into	into	ADP
alkej-350	76	127	(	(	PUNCT
alkej-350	76	128	8)	8)	NUM
alkej-350	76	129	,	,	PUNCT
alkej-350	76	130	function	function	NOUN
alkej-350	76	131	�	�	PROPN
alkej-350	76	132	(	(	PUNCT
alkej-350	76	133	∙	∙	PROPN
alkej-350	76	134	)	)	PUNCT
alkej-350	76	135	0	0	SYM
alkej-350	76	136	�	�	PROPN
alkej-350	76	137	�	�	PROPN
alkej-350	76	138	⎭⎬	⎭⎬	PRON
alkej-350	76	139	⎫	⎫	PROPN
alkej-350	76	140	…	…	PUNCT
alkej-350	76	141	(	(	PUNCT
alkej-350	76	142	11	11	NUM
alkej-350	76	143	)	)	PUNCT
alkej-350	76	144	fig	fig	NOUN
alkej-350	76	145	.	.	PUNCT
alkej-350	77	1	2	2	NUM
alkej-350	77	2	describes	describe	VERB
alkej-350	77	3	the	the	DET
alkej-350	77	4	characteristic	characteristic	NOUN
alkej-350	77	5	of	of	ADP
alkej-350	77	6	the	the	DET
alkej-350	77	7	attraction	attraction	NOUN
alkej-350	77	8	effect	effect	NOUN
alkej-350	77	9	.	.	PUNCT
alkej-350	78	1	attraction	attraction	NOUN
alkej-350	78	2	effect	effect	NOUN
alkej-350	78	3	.	.	PUNCT
alkej-350	79	1	algorithms	algorithms	PROPN
alkej-350	79	2	�	�	PROPN
alkej-350	79	3	�	�	PROPN
alkej-350	79	4	(	(	PUNCT
alkej-350	79	5	�	�	PROPN
alkej-350	79	6	)	)	PUNCT
alkej-350	79	7	is	be	AUX
alkej-350	79	8	defined	define	VERB
alkej-350	79	9	by	by	ADP
alkej-350	79	10	combining	combine	VERB
alkej-350	79	11	square	square	ADJ
alkej-350	79	12	error	error	NOUN
alkej-350	79	13	and	and	CCONJ
alkej-350	79	14	�	�	PROPN
alkej-350	79	15	�	�	PROPN
alkej-350	79	16	norm	norm	NOUN
alkej-350	79	17	penalty	penalty	NOUN
alkej-350	79	18	of	of	ADP
alkej-350	79	19	estimation	estimation	NOUN
alkej-350	79	20	coefficients	coefficient	VERB
alkej-350	79	21	vector	vector	NOUN
alkej-350	79	22	as	as	ADP
alkej-350	79	23	a	a	DET
alkej-350	79	24	…	…	PUNCT
alkej-350	79	25	(	(	PUNCT
alkej-350	79	26	12	12	NUM
alkej-350	79	27	)	)	PUNCT
alkej-350	79	28	lms	lm	NOUN
alkej-350	79	29	)	)	PUNCT
alkej-350	79	30	is	be	AUX
alkej-350	79	31	determined	determine	VERB
alkej-350	79	32	…	…	PUNCT
alkej-350	79	33	(	(	PUNCT
alkej-350	79	34	13	13	NUM
alkej-350	79	35	)	)	PUNCT
alkej-350	79	36	to	to	PART
alkej-350	79	37	control	control	VERB
alkej-350	79	38	lms	lm	NOUN
alkej-350	79	39	all	all	DET
alkej-350	79	40	taps	tap	NOUN
alkej-350	79	41	are	be	AUX
alkej-350	79	42	forced	force	VERB
alkej-350	79	43	to	to	ADP
alkej-350	79	44	zero	zero	NUM
alkej-350	79	45	uniformly	uniformly	ADV
alkej-350	79	46	,	,	PUNCT
alkej-350	79	47	and	and	CCONJ
alkej-350	79	48	its	its	PRON
alkej-350	79	49	performance	performance	NOUN
alkej-350	79	50	will	will	AUX
alkej-350	79	51	weaken	weaken	VERB
alkej-350	79	52	in	in	ADP
alkej-350	79	53	not	not	PART
alkej-350	79	54	sparse	sparse	ADJ
alkej-350	79	55	systems	system	NOUN
alkej-350	79	56	,	,	PUNCT
alkej-350	79	57	then	then	ADV
alkej-350	79	58	rzalms	rzalm	NOUN
alkej-350	79	59	use	use	VERB
alkej-350	79	60	individual	individual	ADJ
alkej-350	79	61	zero	zero	NUM
alkej-350	79	62	attractors	attractor	NOUN
alkej-350	79	63	for	for	ADP
alkej-350	79	64	different	different	ADJ
alkej-350	79	65	+	+	X
alkej-350	79	66	…	…	PUNCT
alkej-350	79	67	(	(	PUNCT
alkej-350	79	68	14	14	NUM
alkej-350	79	69	)	)	PUNCT
alkej-350	79	70	lms	lm	NOUN
alkej-350	79	71	)	)	PUNCT
alkej-350	79	72	is	be	AUX
alkej-350	79	73	defined	define	VERB
alkej-350	79	74	as	as	ADP
alkej-350	79	75	�	�	PROPN
alkej-350	79	76	�	�	PROPN
alkej-350	79	77	(	(	PUNCT
alkej-350	79	78	�	�	PROPN
alkej-350	79	79	+	+	CCONJ
alkej-350	79	80	1	1	X
alkej-350	79	81	)	)	PUNCT
alkej-350	79	82	=	=	SYM
alkej-350	79	83	�	�	PROPN
alkej-350	79	84	�	�	PROPN
alkej-350	79	85	(	(	PUNCT
alkej-350	79	86	�	�	PROPN
alkej-350	79	87	)	)	PUNCT
alkej-350	79	88	+	+	SYM
alkej-350	79	89	�	�	PROPN
alkej-350	79	90	�	�	PROPN
alkej-350	79	91	(	(	PUNCT
alkej-350	79	92	�	�	PROPN
alkej-350	79	93	)	)	PUNCT
alkej-350	79	94	�	�	PROPN
alkej-350	79	95	(	(	PUNCT
alkej-350	79	96	�	�	PROPN
alkej-350	79	97	)	)	PUNCT
alkej-350	79	98	�	�	PROPN
alkej-350	79	99	�	�	PROPN
alkej-350	79	100	�	�	PROPN
alkej-350	79	101	�	�	PROPN
alkej-350	79	102	�	�	PROPN
alkej-350	79	103	�	�	PROPN
alkej-350	79	104	�	�	PROPN
alkej-350	79	105	(	(	PUNCT
alkej-350	79	106	�	�	PROPN
alkej-350	79	107	�	�	PROPN
alkej-350	79	108	(	(	PUNCT
alkej-350	79	109	�	�	PROPN
alkej-350	79	110	)	)	PUNCT
alkej-350	79	111	)	)	PUNCT
alkej-350	79	112	�	�	PROPN
alkej-350	79	113	�	�	PROPN
alkej-350	79	114	�	�	PROPN
alkej-350	79	115	|	|	NOUN
alkej-350	79	116	�	�	PROPN
alkej-350	79	117	�	�	PROPN
alkej-350	79	118	(	(	PUNCT
alkej-350	79	119	�	�	PROPN
alkej-350	79	120	)|	)|	PROPN
alkej-350	79	121	where	where	SCONJ
alkej-350	79	122	�	�	PROPN
alkej-350	79	123	�	�	PROPN
alkej-350	79	124	�	�	PROPN
alkej-350	79	125	�	�	PROPN
alkej-350	79	126	=	=	SYM
alkej-350	79	127	�	�	PROPN
alkej-350	79	128	�	�	PROPN
alkej-350	79	129	�	�	PROPN
alkej-350	79	130	�	�	PROPN
alkej-350	79	131	�	�	PROPN
alkej-350	79	132	�	�	PROPN
alkej-350	79	133	,	,	PUNCT
alkej-350	79	134	where	where	SCONJ
alkej-350	79	135	parameter	parameter	NOUN
alkej-350	79	136	controls	control	VERB
alkej-350	79	137	the	the	DET
alkej-350	79	138	similarity	similarity	NOUN
alkej-350	79	139	between	between	ADP
alkej-350	79	140	(	(	PUNCT
alkej-350	79	141	15	15	NUM
alkej-350	79	142	)	)	PUNCT
alkej-350	79	143	and	and	CCONJ
alkej-350	79	144	(	(	PUNCT
alkej-350	79	145	7	7	NUM
alkej-350	79	146	)	)	PUNCT
alkej-350	79	147	.	.	PUNCT
alkej-350	80	1	5	5	X
alkej-350	80	2	.	.	X
alkej-350	80	3	p	p	X
alkej-350	80	4	-	-	PUNCT
alkej-350	80	5	lms	lms	NOUN
alkej-350	80	6	algorithm	algorithm	NOUN
alkej-350	80	7	the	the	DET
alkej-350	80	8	cost	cost	NOUN
alkej-350	80	9	function	function	NOUN
alkej-350	80	10	of	of	ADP
alkej-350	80	11	(	(	PUNCT
alkej-350	80	12	p	p	NOUN
alkej-350	80	13	-	-	PUNCT
alkej-350	80	14	lms	lm	NOUN
alkej-350	80	15	)	)	PUNCT
alkej-350	80	16	ℂ	ℂ	NOUN
alkej-350	80	17	by	by	ADP
alkej-350	80	18	combining	combine	VERB
alkej-350	80	19	square	square	ADJ
alkej-350	80	20	error	error	NOUN
alkej-350	80	21	and	and	CCONJ
alkej-350	80	22	�	�	PROPN
alkej-350	80	23	�	�	PROPN
alkej-350	80	24	�	�	PROPN
alkej-350	80	25	norm	norm	NOUN
alkej-350	80	26	penalty	penalty	NOUN
alkej-350	80	27	coefficient	coefficient	NOUN
alkej-350	80	28	vector	vector	NOUN
alkej-350	80	29	as	as	SCONJ
alkej-350	80	30	shown	show	VERB
alkej-350	80	31	as	as	ADP
alkej-350	80	32	ℂ	ℂ	PROPN
alkej-350	80	33	�	�	PROPN
alkej-350	80	34	(	(	PUNCT
alkej-350	80	35	�	�	PROPN
alkej-350	80	36	)	)	PUNCT
alkej-350	80	37	=	=	SYM
alkej-350	80	38	�	�	PROPN
alkej-350	80	39	�	�	PROPN
alkej-350	80	40	�	�	PROPN
alkej-350	80	41	(	(	PUNCT
alkej-350	80	42	�	�	PROPN
alkej-350	80	43	)	)	PUNCT
alkej-350	80	44	�	�	PROPN
alkej-350	80	45	+	+	SYM
alkej-350	80	46	�	�	PROPN
alkej-350	80	47	�	�	PROPN
alkej-350	80	48	||	||	PROPN
alkej-350	80	49	�	�	PROPN
alkej-350	80	50	�	�	PROPN
alkej-350	80	51	(	(	PUNCT
alkej-350	80	52	�	�	PROPN
alkej-350	80	53	)||	)||	PROPN
alkej-350	80	54	�	�	PROPN
alkej-350	80	55	�	�	PROPN
alkej-350	80	56	the	the	DET
alkej-350	80	57	update	update	NOUN
alkej-350	80	58	equation	equation	NOUN
alkej-350	80	59	of	of	ADP
alkej-350	80	60	(	(	PUNCT
alkej-350	80	61	p	p	NOUN
alkej-350	80	62	-	-	PUNCT
alkej-350	80	63	lms	lm	NOUN
alkej-350	80	64	)	)	PUNCT
alkej-350	80	65	�	�	PROPN
alkej-350	80	66	�	�	PROPN
alkej-350	80	67	(	(	PUNCT
alkej-350	80	68	�	�	PROPN
alkej-350	80	69	+	+	CCONJ
alkej-350	80	70	1	1	X
alkej-350	80	71	)	)	PUNCT
alkej-350	80	72	=	=	SYM
alkej-350	80	73	�	�	PROPN
alkej-350	80	74	�	�	PROPN
alkej-350	80	75	(	(	PUNCT
alkej-350	80	76	�	�	PROPN
alkej-350	80	77	)	)	PUNCT
alkej-350	80	78	+	+	SYM
alkej-350	80	79	�	�	PROPN
alkej-350	80	80	�	�	PROPN
alkej-350	80	81	(	(	PUNCT
alkej-350	80	82	�	�	PROPN
alkej-350	80	83	)	)	PUNCT
alkej-350	80	84	�	�	PROPN
alkej-350	80	85	(	(	PUNCT
alkej-350	80	86	�	�	PROPN
alkej-350	80	87	)	)	PUNCT
alkej-350	80	88	�	�	PROPN
alkej-350	80	89	�	�	PROPN
alkej-350	80	90	�	�	PROPN
alkej-350	80	91	�	�	PROPN
alkej-350	80	92	�	�	PROPN
alkej-350	80	93	�	�	PROPN
alkej-350	80	94	(	(	PUNCT
alkej-350	80	95	�	�	PROPN
alkej-350	80	96	�	�	PROPN
alkej-350	80	97	(	(	PUNCT
alkej-350	80	98	�	�	PROPN
alkej-350	80	99	)	)	PUNCT
alkej-350	80	100	)	)	PUNCT
alkej-350	80	101	�	�	PROPN
alkej-350	80	102	�	�	PROPN
alkej-350	80	103	|	|	NOUN
alkej-350	80	104	�	�	PROPN
alkej-350	80	105	�	�	PROPN
alkej-350	80	106	(	(	PUNCT
alkej-350	80	107	�	�	PROPN
alkej-350	80	108	)|	)|	PROPN
alkej-350	80	109	�	�	PROPN
alkej-350	80	110	�	�	PROPN
alkej-350	80	111	�	�	PROPN
alkej-350	80	112	a	a	DET
alkej-350	80	113	parameter	parameter	NOUN
alkej-350	80	114	p	p	PROPN
alkej-350	80	115	has	have	VERB
alkej-350	80	116	effect	effect	NOUN
alkej-350	80	117	on	on	ADP
alkej-350	80	118	the	the	DET
alkej-350	80	119	estimation	estimation	NOUN
alkej-350	80	120	bias	bias	NOUN
alkej-350	80	121	in	in	ADP
alkej-350	80	122	addition	addition	NOUN
alkej-350	80	123	to	to	ADP
alkej-350	80	124	the	the	DET
alkej-350	80	125	strength	strength	NOUN
alkej-350	80	126	of	of	ADP
alkej-350	80	127	sparsity	sparsity	NOUN
alkej-350	80	128	correction	correction	NOUN
alkej-350	80	129	.	.	PUNCT
alkej-350	81	1	a	a	DET
alkej-350	81	2	parameter	parameter	PROPN
alkej-350	81	3	�	�	PROPN
alkej-350	81	4	�	�	PROPN
alkej-350	81	5	=	=	SYM
alkej-350	81	6	�	�	PROPN
alkej-350	81	7	�	�	PROPN
alkej-350	81	8	�	�	PROPN
alkej-350	81	9	is	be	AUX
alkej-350	81	10	used	use	VERB
alkej-350	81	11	to	to	PART
alkej-350	81	12	stabilize	stabilize	VERB
alkej-350	81	13	the	the	DET
alkej-350	81	14	constraint	constraint	NOUN
alkej-350	81	15	term	term	NOUN
alkej-350	81	16	and	and	CCONJ
alkej-350	81	17	the	the	DET
alkej-350	81	18	estimation	estimation	NOUN
alkej-350	81	19	square	square	NOUN
alkej-350	81	20	error	error	NOUN
alkej-350	81	21	.	.	PUNCT
alkej-350	82	1	6	6	NUM
alkej-350	82	2	.	.	NUM
alkej-350	82	3	proposed	propose	VERB
alkej-350	82	4	algorithms	algorithms	PROPN
alkej-350	82	5	a.	a.	PROPN
alkej-350	82	6	�	�	PROPN
alkej-350	82	7	�	�	PROPN
alkej-350	82	8	-za	-za	NOUN
alkej-350	82	9	-	-	PUNCT
alkej-350	82	10	lms	lm	NOUN
alkej-350	82	11	and	and	CCONJ
alkej-350	82	12	�	�	PROPN
alkej-350	82	13	�	�	PROPN
alkej-350	82	14	-rza	-rza	NOUN
alkej-350	82	15	-	-	PUNCT
alkej-350	82	16	lms	lm	NOUN
alkej-350	82	17	the	the	DET
alkej-350	82	18	proposed	propose	VERB
alkej-350	82	19	cost	cost	NOUN
alkej-350	82	20	functions	function	NOUN
alkej-350	82	21	of	of	ADP
alkej-350	82	22	andℓ	andℓ	NOUN
alkej-350	82	23	�	�	PROPN
alkej-350	82	24	-rza	-rza	NOUN
alkej-350	82	25	-	-	PUNCT
alkej-350	82	26	lms	lm	NOUN
alkej-350	82	27	are	be	AUX
alkej-350	82	28	designed	design	VERB
alkej-350	82	29	by	by	ADP
alkej-350	82	30	merging	merge	VERB
alkej-350	82	31	between	between	ADP
alkej-350	82	32	ℓ	ℓ	PROPN
alkej-350	82	33	�	�	PROPN
alkej-350	82	34	-norm	-norm	NOUN
alkej-350	82	35	with	with	ADP
alkej-350	82	36	ℓ	ℓ	PROPN
alkej-350	82	37	�	�	PROPN
alkej-350	82	38	-norm	-norm	NOUN
alkej-350	82	39	on	on	ADP
alkej-350	82	40	the	the	DET
alkej-350	82	41	coefficients	coefficient	NOUN
alkej-350	82	42	of	of	ADP
alkej-350	82	43	filter	filter	NOUN
alkej-350	82	44	constraints	constraint	NOUN
alkej-350	82	45	and/	and/	PROPN
alkej-350	82	46	or	or	CCONJ
alkej-350	82	47	reweighted	reweighte	VERB
alkej-350	82	48	zero	zero	NUM
alkej-350	82	49	attractor	attractor	NOUN
alkej-350	82	50	constraints	constraint	NOUN
alkej-350	82	51	into	into	ADP
alkej-350	82	52	the	the	DET
alkej-350	82	53	cost	cost	NOUN
alkej-350	82	54	function	function	NOUN
alkej-350	82	55	of	of	ADP
alkej-350	82	56	lms	lm	NOUN
alkej-350	82	57	to	to	PART
alkej-350	82	58	improve	improve	VERB
alkej-350	82	59	the	the	DET
alkej-350	82	60	convergence	convergence	NOUN
alkej-350	82	61	of	of	ADP
alkej-350	82	62	it	it	PRON
alkej-350	82	63	.	.	PUNCT
alkej-350	83	1	they	they	PRON
alkej-350	83	2	obviously	obviously	ADV
alkej-350	83	3	presentin	presentin	VERB
alkej-350	83	4	(	(	PUNCT
alkej-350	83	5	18	18	NUM
alkej-350	83	6	)	)	PUNCT
alkej-350	83	7	and	and	CCONJ
alkej-350	83	8	(	(	PUNCT
alkej-350	83	9	19	19	NUM
alkej-350	83	10	)	)	PUNCT
alkej-350	83	11	.	.	PUNCT
alkej-350	84	1	ℂ	ℂ	PROPN
alkej-350	84	2	(	(	PUNCT
alkej-350	84	3	�	�	PROPN
alkej-350	84	4	)	)	PUNCT
alkej-350	84	5	=	=	SYM
alkej-350	84	6	�	�	PROPN
alkej-350	84	7	�	�	PROPN
alkej-350	84	8	�	�	PROPN
alkej-350	84	9	(	(	PUNCT
alkej-350	84	10	�	�	PROPN
alkej-350	84	11	)	)	PUNCT
alkej-350	84	12	�	�	PROPN
alkej-350	84	13	+	+	SYM
alkej-350	84	14	�	�	PROPN
alkej-350	84	15	�	�	PROPN
alkej-350	84	16	�	�	PROPN
alkej-350	84	17	||	||	PROPN
alkej-350	84	18	�	�	PROPN
alkej-350	84	19	�	�	PROPN
alkej-350	84	20	(	(	PUNCT
alkej-350	84	21	�	�	PROPN
alkej-350	84	22	)||	)||	ADJ
alkej-350	84	23	�	�	PROPN
alkej-350	84	24	+	+	NOUN
alkej-350	84	25	�	�	PROPN
alkej-350	84	26	�	�	PROPN
alkej-350	84	27	�	�	PROPN
alkej-350	84	28	|	|	NOUN
alkej-350	84	29	�	�	PROPN
alkej-350	84	30	�	�	PROPN
alkej-350	84	31	�	�	PROPN
alkej-350	84	32	(	(	PUNCT
alkej-350	84	33	�	�	PROPN
alkej-350	84	34	)	)	PUNCT
alkej-350	84	35	|	|	NOUN
alkej-350	84	36	)	)	PUNCT
alkej-350	84	37	ℂ	ℂ	PROPN
alkej-350	84	38	(	(	PUNCT
alkej-350	84	39	�	�	PROPN
alkej-350	84	40	)	)	PUNCT
alkej-350	84	41	=	=	SYM
alkej-350	84	42	�	�	PROPN
alkej-350	84	43	�	�	PROPN
alkej-350	84	44	�	�	PROPN
alkej-350	84	45	(	(	PUNCT
alkej-350	84	46	�	�	PROPN
alkej-350	84	47	)	)	PUNCT
alkej-350	84	48	�	�	PROPN
alkej-350	84	49	+	+	SYM
alkej-350	84	50	�	�	PROPN
alkej-350	84	51	�	�	PROPN
alkej-350	84	52	�	�	PROPN
alkej-350	84	53	�	�	PROPN
alkej-350	84	54	∑	∑	ADV
alkej-350	84	55	log	log	PROPN
alkej-350	84	56	�	�	PROPN
alkej-350	84	57	�	�	PROPN
alkej-350	84	58	�	�	PROPN
alkej-350	84	59	�	�	PROPN
alkej-350	84	60	�	�	PROPN
alkej-350	84	61	�	�	PROPN
alkej-350	84	62	�	�	PROPN
alkej-350	84	63	|ℎ	|ℎ	PROPN
alkej-350	84	64	�	�	PROPN
alkej-350	84	65	�	�	PROPN
alkej-350	84	66	(	(	PUNCT
alkej-350	84	67	�	�	PROPN
alkej-350	84	68	)	)	PUNCT
alkej-350	84	69	|	|	ADV
alkej-350	84	70	)	)	PUNCT
alkej-350	85	1	+	+	CCONJ
alkej-350	85	2	�	�	PROPN
alkej-350	85	3	�	�	PROPN
alkej-350	85	4	�	�	PROPN
alkej-350	85	5	∑	∑	PUNCT
alkej-350	85	6	(	(	PUNCT
alkej-350	85	7	1	1	NUM
alkej-350	85	8	�	�	PROPN
alkej-350	85	9	�	�	PROPN
alkej-350	85	10	�	�	PROPN
alkej-350	85	11	�	�	PROPN
alkej-350	85	12	−	−	PROPN
alkej-350	85	13	�	�	PROPN
alkej-350	85	14	�	�	PROPN
alkej-350	85	15	�	�	PROPN
alkej-350	85	16	|	|	NOUN
alkej-350	85	17	�	�	PROPN
alkej-350	85	18	�	�	AUX
alkej-350	85	19	the	the	DET
alkej-350	85	20	update	update	NOUN
alkej-350	85	21	of	of	ADP
alkej-350	85	22	adaptive	adaptive	ADJ
alkej-350	85	23	filter	filter	NOUN
alkej-350	85	24	coefficient	coefficient	PROPN
alkej-350	85	25	�	�	PROPN
alkej-350	85	26	�	�	PROPN
alkej-350	85	27	(	(	PUNCT
alkej-350	85	28	�	�	PROPN
alkej-350	85	29	+	+	CCONJ
alkej-350	85	30	1	1	X
alkej-350	85	31	)	)	PUNCT
alkej-350	85	32	=	=	SYM
alkej-350	85	33	�	�	PROPN
alkej-350	85	34	�	�	PROPN
alkej-350	85	35	(	(	PUNCT
alkej-350	85	36	�	�	PROPN
alkej-350	85	37	)	)	PUNCT
alkej-350	85	38	+	+	CCONJ
alkej-350	85	39	�	�	PROPN
alkej-350	85	40	�	�	PROPN
alkej-350	85	41	(	(	PUNCT
alkej-350	85	42	�	�	PROPN
alkej-350	85	43	)	)	PUNCT
alkej-350	85	44	�	�	PROPN
alkej-350	85	45	(	(	PUNCT
alkej-350	85	46	�	�	PROPN
alkej-350	85	47	)	)	PUNCT
alkej-350	85	48	�	�	PROPN
alkej-350	85	49	�	�	PROPN
alkej-350	85	50	�	�	PROPN
alkej-350	85	51	�	�	PROPN
alkej-350	85	52	�	�	PROPN
alkej-350	85	53	�	�	PROPN
alkej-350	85	54	(	(	PUNCT
alkej-350	85	55	�	�	PROPN
alkej-350	85	56	�	�	PROPN
alkej-350	85	57	(	(	PUNCT
alkej-350	85	58	n	n	CCONJ
alkej-350	85	59	)	)	PUNCT
alkej-350	85	60	)	)	PUNCT
alkej-350	86	1	−	−	PROPN
alkej-350	86	2	�	�	PROPN
alkej-350	86	3	�	�	PROPN
alkej-350	86	4	�	�	PROPN
alkej-350	86	5	�	�	PROPN
alkej-350	86	6	�	�	PROPN
alkej-350	86	7	�	�	PROPN
alkej-350	86	8	�	�	PROPN
alkej-350	86	9	(	(	PUNCT
alkej-350	86	10	�	�	PROPN
alkej-350	86	11	�	�	PROPN
alkej-350	86	12	(	(	PUNCT
alkej-350	86	13	n	n	PROPN
alkej-350	86	14	�	�	PROPN
alkej-350	86	15	�	�	PROPN
alkej-350	86	16	(	(	PUNCT
alkej-350	86	17	�	�	PROPN
alkej-350	86	18	+	+	CCONJ
alkej-350	86	19	1	1	X
alkej-350	86	20	)	)	PUNCT
alkej-350	86	21	=	=	SYM
alkej-350	86	22	�	�	PROPN
alkej-350	86	23	�	�	PROPN
alkej-350	86	24	(	(	PUNCT
alkej-350	86	25	�	�	PROPN
alkej-350	86	26	)	)	PUNCT
alkej-350	86	27	+	+	CCONJ
alkej-350	86	28	�	�	PROPN
alkej-350	86	29	�	�	PROPN
alkej-350	86	30	(	(	PUNCT
alkej-350	86	31	�	�	PROPN
alkej-350	86	32	)	)	PUNCT
alkej-350	86	33	�	�	PROPN
alkej-350	86	34	(	(	PUNCT
alkej-350	86	35	�	�	PROPN
alkej-350	86	36	)	)	PUNCT
alkej-350	86	37	�	�	PROPN
alkej-350	86	38	�	�	PROPN
alkej-350	86	39	�	�	PROPN
alkej-350	86	40	�	�	PROPN
alkej-350	86	41	�	�	PROPN
alkej-350	86	42	�	�	PROPN
alkej-350	86	43	�	�	PROPN
alkej-350	86	44	(	(	PUNCT
alkej-350	86	45	�	�	PROPN
alkej-350	86	46	�	�	PROPN
alkej-350	86	47	(	(	PUNCT
alkej-350	86	48	�	�	PROPN
alkej-350	86	49	)	)	PUNCT
alkej-350	86	50	)	)	PUNCT
alkej-350	86	51	�	�	PROPN
alkej-350	86	52	�	�	PROPN
alkej-350	86	53	�	�	PROPN
alkej-350	86	54	|	|	NOUN
alkej-350	86	55	�	�	PROPN
alkej-350	86	56	�	�	PROPN
alkej-350	86	57	(	(	PUNCT
alkej-350	86	58	�	�	PROPN
alkej-350	86	59	)|	)|	PROPN
alkej-350	86	60	−	−	PROPN
alkej-350	86	61	�	�	PROPN
alkej-350	86	62	�	�	PROPN
alkej-350	86	63	�	�	PROPN
alkej-350	86	64	�	�	PROPN
alkej-350	86	65	�	�	PROPN
alkej-350	86	66	�	�	PROPN
alkej-350	86	67	�	�	PROPN
alkej-350	86	68	(	(	PUNCT
alkej-350	86	69	�	�	PROPN
alkej-350	86	70	�	�	PROPN
alkej-350	86	71	(	(	PUNCT
alkej-350	86	72	n	n	CCONJ
alkej-350	86	73	)	)	PUNCT
alkej-350	86	74	b.	b.	PROPN
alkej-350	86	75	p	p	PROPN
alkej-350	86	76	-	-	PUNCT
alkej-350	86	77	za	za	PROPN
alkej-350	86	78	-	-	NOUN
alkej-350	86	79	lms	lm	NOUN
alkej-350	86	80	and	and	CCONJ
alkej-350	86	81	p	p	PROPN
alkej-350	86	82	-	-	PUNCT
alkej-350	86	83	rza	rza	NOUN
alkej-350	86	84	-	-	PUNCT
alkej-350	86	85	lms	lm	NOUN
alkej-350	86	86	this	this	DET
alkej-350	86	87	proposed	propose	VERB
alkej-350	86	88	algorithms	algorithm	NOUN
alkej-350	86	89	have	have	AUX
alkej-350	86	90	designed	design	VERB
alkej-350	86	91	by	by	ADP
alkej-350	86	92	merging	merge	VERB
alkej-350	86	93	between	between	ADP
alkej-350	86	94	p	p	NOUN
alkej-350	86	95	-	-	PUNCT
alkej-350	86	96	norm	norm	NOUN
alkej-350	86	97	with	with	ADP
alkej-350	86	98	constraints	constraint	NOUN
alkej-350	86	99	on	on	ADP
alkej-350	86	100	the	the	DET
alkej-350	86	101	coefficients	coefficient	NOUN
alkej-350	86	102	of	of	ADP
alkej-350	86	103	filter	filter	NOUN
alkej-350	86	104	and/or	and/or	CCONJ
alkej-350	86	105	,	,	PUNCT
alkej-350	86	106	p.p	p.p	PROPN
alkej-350	86	107	.	.	NOUN
alkej-350	86	108	6269(2017	6269(2017	NUM
alkej-350	86	109	)	)	PUNCT
alkej-350	86	110	(	(	PUNCT
alkej-350	86	111	)	)	PUNCT
alkej-350	86	112	−	−	NOUN
alkej-350	86	113	…	…	PUNCT
alkej-350	86	114	(	(	PUNCT
alkej-350	86	115	15	15	NUM
alkej-350	86	116	)	)	PUNCT
alkej-350	86	117	,	,	PUNCT
alkej-350	86	118	where	where	SCONJ
alkej-350	86	119	parameter	parameter	PROPN
alkej-350	86	120	�	�	PROPN
alkej-350	86	121	controls	control	VERB
alkej-350	86	122	the	the	DET
alkej-350	86	123	similarity	similarity	NOUN
alkej-350	86	124	between	between	ADP
alkej-350	86	125	(	(	PUNCT
alkej-350	86	126	15	15	NUM
alkej-350	86	127	)	)	PUNCT
alkej-350	86	128	and	and	CCONJ
alkej-350	86	129	(	(	PUNCT
alkej-350	86	130	7	7	NUM
alkej-350	86	131	)	)	PUNCT
alkej-350	86	132	.	.	PUNCT
alkej-350	87	1	ℂ	ℂ	PROPN
alkej-350	87	2	�	�	PROPN
alkej-350	87	3	(	(	PUNCT
alkej-350	87	4	�	�	PROPN
alkej-350	87	5	)	)	PUNCT
alkej-350	87	6	is	be	AUX
alkej-350	87	7	defined	define	VERB
alkej-350	87	8	norm	norm	NOUN
alkej-350	87	9	penalty	penalty	NOUN
alkej-350	87	10	the	the	PRON
alkej-350	87	11	)	)	PUNCT
alkej-350	87	12	…	…	PUNCT
alkej-350	87	13	(	(	PUNCT
alkej-350	87	14	16	16	NUM
alkej-350	87	15	)	)	PUNCT
alkej-350	87	16	lms	lm	NOUN
alkej-350	87	17	)	)	PUNCT
alkej-350	87	18	as	as	ADP
alkej-350	87	19	(	(	PUNCT
alkej-350	87	20	)	)	PUNCT
alkej-350	87	21	−	−	NOUN
alkej-350	87	22	…	…	PUNCT
alkej-350	87	23	(	(	PUNCT
alkej-350	87	24	17	17	NUM
alkej-350	87	25	)	)	PUNCT
alkej-350	87	26	a	a	DET
alkej-350	87	27	parameter	parameter	NOUN
alkej-350	87	28	p	p	PROPN
alkej-350	87	29	has	have	VERB
alkej-350	87	30	effect	effect	NOUN
alkej-350	87	31	on	on	ADP
alkej-350	87	32	the	the	DET
alkej-350	87	33	estimation	estimation	NOUN
alkej-350	87	34	bias	bias	NOUN
alkej-350	87	35	in	in	ADP
alkej-350	87	36	addition	addition	NOUN
alkej-350	87	37	to	to	ADP
alkej-350	87	38	the	the	DET
alkej-350	87	39	strength	strength	NOUN
alkej-350	87	40	of	of	ADP
alkej-350	87	41	sparsity	sparsity	NOUN
alkej-350	87	42	correction	correction	NOUN
alkej-350	87	43	.	.	PUNCT
alkej-350	88	1	a	a	PRON
alkej-350	88	2	is	be	AUX
alkej-350	88	3	used	use	VERB
alkej-350	88	4	to	to	PART
alkej-350	88	5	stabilize	stabilize	VERB
alkej-350	88	6	the	the	DET
alkej-350	88	7	constraint	constraint	NOUN
alkej-350	88	8	term	term	NOUN
alkej-350	88	9	and	and	CCONJ
alkej-350	88	10	the	the	DET
alkej-350	88	11	estimation	estimation	NOUN
alkej-350	88	12	square	square	NOUN
alkej-350	88	13	error	error	NOUN
alkej-350	88	14	.	.	PUNCT
alkej-350	89	1	lms	lm	NOUN
alkej-350	89	2	algorithms	algorithm	VERB
alkej-350	89	3	the	the	DET
alkej-350	89	4	proposed	propose	VERB
alkej-350	89	5	cost	cost	NOUN
alkej-350	89	6	functions	function	NOUN
alkej-350	89	7	of	of	ADP
alkej-350	89	8	ℓ	ℓ	NOUN
alkej-350	89	9	�	�	PROPN
alkej-350	89	10	-za	-za	NOUN
alkej-350	89	11	-	-	PUNCT
alkej-350	89	12	lms	lm	NOUN
alkej-350	89	13	lms	lm	NOUN
alkej-350	89	14	are	be	AUX
alkej-350	89	15	designed	design	VERB
alkej-350	89	16	by	by	ADP
alkej-350	89	17	merging	merge	VERB
alkej-350	89	18	norm	norm	NOUN
alkej-350	89	19	on	on	ADP
alkej-350	89	20	the	the	DET
alkej-350	89	21	coefficients	coefficient	NOUN
alkej-350	89	22	of	of	ADP
alkej-350	89	23	filter	filter	NOUN
alkej-350	89	24	constraints	constraint	NOUN
alkej-350	89	25	and/	and/	PROPN
alkej-350	89	26	or	or	CCONJ
alkej-350	89	27	reweighted	reweighte	VERB
alkej-350	89	28	zero	zero	NUM
alkej-350	89	29	attractor	attractor	NOUN
alkej-350	89	30	constraints	constraint	NOUN
alkej-350	89	31	into	into	ADP
alkej-350	89	32	the	the	DET
alkej-350	89	33	cost	cost	NOUN
alkej-350	89	34	the	the	DET
alkej-350	89	35	convergence	convergence	NOUN
alkej-350	89	36	rate	rate	NOUN
alkej-350	89	37	obviously	obviously	ADV
alkej-350	89	38	presentin	presentin	ADJ
alkej-350	89	39	(	(	PUNCT
alkej-350	89	40	18	18	NUM
alkej-350	89	41	)	)	PUNCT
alkej-350	89	42	and	and	CCONJ
alkej-350	89	43	(	(	PUNCT
alkej-350	89	44	19	19	NUM
alkej-350	89	45	)	)	PUNCT
alkej-350	89	46	.	.	PUNCT
alkej-350	90	1	+	+	CCONJ
alkej-350	90	2	�	�	PROPN
alkej-350	90	3	�	�	PROPN
alkej-350	90	4	�	�	PROPN
alkej-350	90	5	∑	∑	PUNCT
alkej-350	90	6	(	(	PUNCT
alkej-350	90	7	1	1	NUM
alkej-350	90	8	�	�	PROPN
alkej-350	90	9	�	�	PROPN
alkej-350	90	10	�	�	PROPN
alkej-350	90	11	�	�	PROPN
alkej-350	90	12	−	−	PROPN
alkej-350	90	13	...	...	PUNCT
alkej-350	90	14	(	(	PUNCT
alkej-350	90	15	18	18	NUM
alkej-350	90	16	)	)	PUNCT
alkej-350	90	17	�	�	PROPN
alkej-350	90	18	�	�	PROPN
alkej-350	90	19	(	(	PUNCT
alkej-350	90	20	1	1	NUM
alkej-350	90	21	+	+	NOUN
alkej-350	90	22	�	�	PROPN
alkej-350	90	23	�	�	PROPN
alkej-350	90	24	(	(	PUNCT
alkej-350	90	25	�	�	PROPN
alkej-350	90	26	)	)	PUNCT
alkej-350	90	27	|	|	NOUN
alkej-350	90	28	)	)	PUNCT
alkej-350	90	29	…	…	PUNCT
alkej-350	90	30	(	(	PUNCT
alkej-350	90	31	19	19	NUM
alkej-350	90	32	)	)	PUNCT
alkej-350	90	33	the	the	DET
alkej-350	90	34	update	update	NOUN
alkej-350	90	35	of	of	ADP
alkej-350	90	36	adaptive	adaptive	ADJ
alkej-350	90	37	filter	filter	NOUN
alkej-350	90	38	coefficient	coefficient	NOUN
alkej-350	90	39	(	(	PUNCT
alkej-350	90	40	)	)	PUNCT
alkej-350	90	41	−n	−n	ADJ
alkej-350	90	42	)	)	PUNCT
alkej-350	90	43	)	)	PUNCT
alkej-350	90	44	�	�	PROPN
alkej-350	90	45	�	�	PROPN
alkej-350	90	46	�	�	PROPN
alkej-350	90	47	|	|	NOUN
alkej-350	90	48	�	�	PROPN
alkej-350	90	49	�	�	PROPN
alkej-350	90	50	(	(	PUNCT
alkej-350	90	51	�	�	PROPN
alkej-350	90	52	)	)	PUNCT
alkej-350	90	53	|	|	CCONJ
alkej-350	90	54	…	…	PUNCT
alkej-350	90	55	(	(	PUNCT
alkej-350	90	56	20	20	NUM
alkej-350	90	57	)	)	PUNCT
alkej-350	90	58	(	(	PUNCT
alkej-350	90	59	)	)	PUNCT
alkej-350	90	60	−	−	NUM
alkej-350	90	61	)	)	PUNCT
alkej-350	90	62	)	)	PUNCT
alkej-350	91	1	�	�	PROPN
alkej-350	91	2	�	�	PROPN
alkej-350	91	3	�	�	PROPN
alkej-350	91	4	|	|	NOUN
alkej-350	91	5	�	�	PROPN
alkej-350	91	6	�	�	PROPN
alkej-350	91	7	(	(	PUNCT
alkej-350	91	8	�	�	PROPN
alkej-350	91	9	)	)	PUNCT
alkej-350	91	10	|	|	CCONJ
alkej-350	91	11	…	…	PUNCT
alkej-350	91	12	(	(	PUNCT
alkej-350	91	13	21	21	NUM
alkej-350	91	14	)	)	PUNCT
alkej-350	91	15	lms	lm	NOUN
alkej-350	91	16	algorithms	algorithm	NOUN
alkej-350	91	17	this	this	DET
alkej-350	91	18	proposed	propose	VERB
alkej-350	91	19	algorithms	algorithm	NOUN
alkej-350	91	20	have	have	AUX
alkej-350	91	21	designed	design	VERB
alkej-350	91	22	by	by	ADP
alkej-350	91	23	norm	norm	NOUN
alkej-350	91	24	with	with	ADP
alkej-350	91	25	ℓ	ℓ	PROPN
alkej-350	91	26	�	�	PROPN
alkej-350	91	27	-norm	-norm	NOUN
alkej-350	91	28	constraints	constraint	NOUN
alkej-350	91	29	on	on	ADP
alkej-350	91	30	the	the	DET
alkej-350	91	31	coefficients	coefficient	NOUN
alkej-350	91	32	of	of	ADP
alkej-350	91	33	filter	filter	NOUN
alkej-350	91	34	and/or	and/or	CCONJ
alkej-350	91	35	pdf	pdf	NOUN
alkej-350	91	36	created	create	VERB
alkej-350	91	37	with	with	ADP
alkej-350	91	38	pdffactory	pdffactory	ADJ
alkej-350	91	39	trial	trial	NOUN
alkej-350	91	40	version	version	NOUN
alkej-350	91	41	www.pdffactory.com	www.pdffactory.com	X
alkej-350	91	42	http://www.pdffactory.com	http://www.pdffactory.com	X
alkej-350	91	43	http://www.pdffactory.com	http://www.pdffactory.com	X
alkej-350	92	1	mahmood	mahmood	PROPN
alkej-350	93	1	a.k	a.k	PROPN
alkej-350	93	2	abdulsattar	abdulsattar	PROPN
alkej-350	93	3	al	al	PROPN
alkej-350	93	4	-	-	PUNCT
alkej-350	93	5	khwarizmi	khwarizmi	PROPN
alkej-350	93	6	engineering	engineering	NOUN
alkej-350	93	7	journal	journal	PROPN
alkej-350	93	8	,	,	PUNCT
alkej-350	93	9	vol	vol	NOUN
alkej-350	93	10	.	.	PROPN
alkej-350	93	11	13	13	NUM
alkej-350	93	12	,	,	PUNCT
alkej-350	93	13	no	no	INTJ
alkej-350	93	14	.	.	NOUN
alkej-350	93	15	2	2	NUM
alkej-350	93	16	,	,	PUNCT
alkej-350	93	17	p.p	p.p	PROPN
alkej-350	93	18	.	.	NOUN
alkej-350	93	19	6269(2017	6269(2017	NUM
alkej-350	93	20	)	)	PUNCT
alkej-350	93	21	65	65	NUM
alkej-350	93	22	reweighted	reweighte	VERB
alkej-350	93	23	zero	zero	NUM
alkej-350	93	24	attractor	attractor	NOUN
alkej-350	93	25	constraints	constraint	NOUN
alkej-350	93	26	into	into	ADP
alkej-350	93	27	the	the	DET
alkej-350	93	28	lms	lm	NOUN
alkej-350	93	29	cost	cost	NOUN
alkej-350	93	30	function	function	NOUN
alkej-350	93	31	to	to	PART
alkej-350	93	32	increase	increase	VERB
alkej-350	93	33	the	the	DET
alkej-350	93	34	convergence	convergence	NOUN
alkej-350	93	35	of	of	ADP
alkej-350	93	36	lms	lm	NOUN
alkej-350	93	37	for	for	ADP
alkej-350	93	38	sparse	sparse	ADJ
alkej-350	93	39	systems	system	NOUN
alkej-350	93	40	.	.	PUNCT
alkej-350	94	1	they	they	PRON
alkej-350	94	2	obviously	obviously	ADV
alkej-350	94	3	present	present	VERB
alkej-350	94	4	in	in	ADP
alkej-350	94	5	(	(	PUNCT
alkej-350	94	6	22	22	NUM
alkej-350	94	7	)	)	PUNCT
alkej-350	94	8	and	and	CCONJ
alkej-350	94	9	(	(	PUNCT
alkej-350	94	10	23	23	NUM
alkej-350	94	11	)	)	PUNCT
alkej-350	94	12	.	.	PUNCT
alkej-350	95	1	ℂ	ℂ	PROPN
alkej-350	95	2	(	(	PUNCT
alkej-350	95	3	�	�	PROPN
alkej-350	95	4	)	)	PUNCT
alkej-350	95	5	=	=	SYM
alkej-350	95	6	�	�	PROPN
alkej-350	95	7	�	�	PROPN
alkej-350	95	8	�	�	PROPN
alkej-350	95	9	(	(	PUNCT
alkej-350	95	10	�	�	PROPN
alkej-350	95	11	)	)	PUNCT
alkej-350	95	12	�	�	PROPN
alkej-350	95	13	+	+	SYM
alkej-350	95	14	�	�	PROPN
alkej-350	95	15	�	�	PROPN
alkej-350	95	16	�	�	PROPN
alkej-350	95	17	||	||	PROPN
alkej-350	95	18	�	�	PROPN
alkej-350	95	19	�	�	PROPN
alkej-350	95	20	(	(	PUNCT
alkej-350	95	21	�	�	PROPN
alkej-350	95	22	)||	)||	ADJ
alkej-350	95	23	�	�	PROPN
alkej-350	95	24	+	+	CCONJ
alkej-350	95	25	�	�	PROPN
alkej-350	95	26	�	�	PROPN
alkej-350	95	27	||	||	PROPN
alkej-350	95	28	�	�	PROPN
alkej-350	95	29	�	�	PROPN
alkej-350	95	30	(	(	PUNCT
alkej-350	95	31	�	�	PROPN
alkej-350	95	32	)	)	PUNCT
alkej-350	95	33	||	||	PROPN
alkej-350	95	34	�	�	PROPN
alkej-350	95	35	�	�	PROPN
alkej-350	95	36	…	…	PUNCT
alkej-350	95	37	(	(	PUNCT
alkej-350	95	38	22	22	NUM
alkej-350	95	39	)	)	PUNCT
alkej-350	95	40	ℂ	ℂ	PROPN
alkej-350	95	41	(	(	PUNCT
alkej-350	95	42	�	�	PROPN
alkej-350	95	43	)	)	PUNCT
alkej-350	95	44	=	=	SYM
alkej-350	95	45	�	�	PROPN
alkej-350	95	46	�	�	PROPN
alkej-350	95	47	�	�	PROPN
alkej-350	95	48	(	(	PUNCT
alkej-350	95	49	�	�	PROPN
alkej-350	95	50	)	)	PUNCT
alkej-350	95	51	�	�	PROPN
alkej-350	95	52	+	+	SYM
alkej-350	95	53	�	�	PROPN
alkej-350	95	54	�	�	PROPN
alkej-350	95	55	�	�	PROPN
alkej-350	95	56	�	�	PROPN
alkej-350	95	57	∑	∑	ADV
alkej-350	95	58	log	log	PROPN
alkej-350	95	59	�	�	PROPN
alkej-350	95	60	�	�	PROPN
alkej-350	95	61	(1	(1	PROPN
alkej-350	95	62	+	+	PROPN
alkej-350	95	63	�	�	PROPN
alkej-350	95	64	�	�	PROPN
alkej-350	95	65	�	�	PROPN
alkej-350	95	66	�	�	PROPN
alkej-350	95	67	�	�	PROPN
alkej-350	95	68	|ℎ	|ℎ	PROPN
alkej-350	95	69	�	�	PROPN
alkej-350	95	70	�	�	PROPN
alkej-350	95	71	(	(	PUNCT
alkej-350	95	72	�	�	PROPN
alkej-350	95	73	)	)	PUNCT
alkej-350	95	74	|	|	ADV
alkej-350	95	75	)	)	PUNCT
alkej-350	95	76	+	+	CCONJ
alkej-350	95	77	�	�	PROPN
alkej-350	95	78	�	�	PROPN
alkej-350	95	79	||	||	PROPN
alkej-350	95	80	�	�	PROPN
alkej-350	95	81	�	�	PROPN
alkej-350	95	82	(	(	PUNCT
alkej-350	95	83	�	�	PROPN
alkej-350	95	84	)	)	PUNCT
alkej-350	95	85	||	||	PROPN
alkej-350	95	86	�	�	PROPN
alkej-350	95	87	�	�	PROPN
alkej-350	95	88	…	…	PUNCT
alkej-350	95	89	(	(	PUNCT
alkej-350	95	90	23	23	NUM
alkej-350	95	91	)	)	PUNCT
alkej-350	95	92	the	the	DET
alkej-350	95	93	update	update	NOUN
alkej-350	95	94	of	of	ADP
alkej-350	95	95	adaptive	adaptive	ADJ
alkej-350	95	96	filter	filter	NOUN
alkej-350	95	97	coefficient	coefficient	PROPN
alkej-350	95	98	�	�	PROPN
alkej-350	95	99	�	�	PROPN
alkej-350	95	100	(	(	PUNCT
alkej-350	95	101	�	�	PROPN
alkej-350	95	102	+	+	CCONJ
alkej-350	95	103	1	1	X
alkej-350	95	104	)	)	PUNCT
alkej-350	95	105	=	=	SYM
alkej-350	95	106	�	�	PROPN
alkej-350	95	107	�	�	PROPN
alkej-350	95	108	(	(	PUNCT
alkej-350	95	109	�	�	PROPN
alkej-350	95	110	)	)	PUNCT
alkej-350	95	111	+	+	CCONJ
alkej-350	95	112	�	�	PROPN
alkej-350	95	113	�	�	PROPN
alkej-350	95	114	(	(	PUNCT
alkej-350	95	115	�	�	PROPN
alkej-350	95	116	)	)	PUNCT
alkej-350	95	117	�	�	PROPN
alkej-350	95	118	(	(	PUNCT
alkej-350	95	119	�	�	PROPN
alkej-350	95	120	)	)	PUNCT
alkej-350	96	1	−	−	PROPN
alkej-350	96	2	�	�	PROPN
alkej-350	96	3	�	�	PROPN
alkej-350	96	4	�	�	PROPN
alkej-350	96	5	�	�	PROPN
alkej-350	96	6	�	�	PROPN
alkej-350	96	7	�	�	PROPN
alkej-350	96	8	(	(	PUNCT
alkej-350	96	9	�	�	PROPN
alkej-350	96	10	�	�	PROPN
alkej-350	96	11	(n	(n	NOUN
alkej-350	96	12	)	)	PUNCT
alkej-350	96	13	)	)	PUNCT
alkej-350	97	1	−	−	PROPN
alkej-350	97	2	�	�	PROPN
alkej-350	97	3	�	�	PROPN
alkej-350	97	4	�	�	PROPN
alkej-350	97	5	�	�	PROPN
alkej-350	97	6	�	�	PROPN
alkej-350	97	7	�	�	PROPN
alkej-350	97	8	(	(	PUNCT
alkej-350	97	9	�	�	PROPN
alkej-350	97	10	�	�	PROPN
alkej-350	97	11	(	(	PUNCT
alkej-350	97	12	�	�	PROPN
alkej-350	97	13	)	)	PUNCT
alkej-350	97	14	)	)	PUNCT
alkej-350	97	15	�	�	PROPN
alkej-350	97	16	�	�	PROPN
alkej-350	97	17	|	|	NOUN
alkej-350	97	18	�	�	PROPN
alkej-350	97	19	�	�	PROPN
alkej-350	97	20	(	(	PUNCT
alkej-350	97	21	�	�	PROPN
alkej-350	97	22	)|	)|	PROPN
alkej-350	97	23	�	�	PROPN
alkej-350	97	24	�	�	PROPN
alkej-350	97	25	�	�	PROPN
alkej-350	97	26	…	…	PUNCT
alkej-350	97	27	(	(	PUNCT
alkej-350	97	28	24	24	NUM
alkej-350	97	29	)	)	PUNCT
alkej-350	97	30	�	�	PROPN
alkej-350	97	31	�	�	PROPN
alkej-350	97	32	(	(	PUNCT
alkej-350	97	33	�	�	PROPN
alkej-350	97	34	+	+	CCONJ
alkej-350	97	35	1	1	X
alkej-350	97	36	)	)	PUNCT
alkej-350	97	37	=	=	SYM
alkej-350	97	38	�	�	PROPN
alkej-350	97	39	�	�	PROPN
alkej-350	97	40	(	(	PUNCT
alkej-350	97	41	�	�	PROPN
alkej-350	97	42	)	)	PUNCT
alkej-350	97	43	+	+	CCONJ
alkej-350	97	44	�	�	PROPN
alkej-350	97	45	�	�	PROPN
alkej-350	97	46	(	(	PUNCT
alkej-350	97	47	�	�	PROPN
alkej-350	97	48	)	)	PUNCT
alkej-350	97	49	�	�	PROPN
alkej-350	97	50	(	(	PUNCT
alkej-350	97	51	�	�	PROPN
alkej-350	97	52	)	)	PUNCT
alkej-350	97	53	−	−	PROPN
alkej-350	97	54	�	�	PROPN
alkej-350	97	55	�	�	PROPN
alkej-350	97	56	�	�	PROPN
alkej-350	97	57	�	�	PROPN
alkej-350	97	58	�	�	PROPN
alkej-350	97	59	�	�	PROPN
alkej-350	97	60	�	�	PROPN
alkej-350	97	61	(	(	PUNCT
alkej-350	97	62	�	�	PROPN
alkej-350	97	63	�	�	PROPN
alkej-350	97	64	(	(	PUNCT
alkej-350	97	65	�	�	PROPN
alkej-350	97	66	)	)	PUNCT
alkej-350	97	67	)	)	PUNCT
alkej-350	97	68	�	�	PROPN
alkej-350	97	69	�	�	PROPN
alkej-350	97	70	�	�	PROPN
alkej-350	97	71	|	|	NOUN
alkej-350	97	72	�	�	PROPN
alkej-350	97	73	�	�	PROPN
alkej-350	97	74	(	(	PUNCT
alkej-350	97	75	�	�	PROPN
alkej-350	97	76	)|	)|	PROPN
alkej-350	97	77	−	−	PROPN
alkej-350	97	78	�	�	PROPN
alkej-350	97	79	�	�	PROPN
alkej-350	97	80	�	�	PROPN
alkej-350	97	81	�	�	PROPN
alkej-350	97	82	�	�	PROPN
alkej-350	97	83	�	�	PROPN
alkej-350	97	84	(	(	PUNCT
alkej-350	97	85	�	�	PROPN
alkej-350	97	86	�	�	PROPN
alkej-350	97	87	(	(	PUNCT
alkej-350	97	88	�	�	PROPN
alkej-350	97	89	)	)	PUNCT
alkej-350	97	90	)	)	PUNCT
alkej-350	97	91	�	�	PROPN
alkej-350	97	92	�	�	PROPN
alkej-350	97	93	|	|	NOUN
alkej-350	97	94	�	�	PROPN
alkej-350	97	95	�	�	PROPN
alkej-350	97	96	(	(	PUNCT
alkej-350	97	97	�	�	PROPN
alkej-350	97	98	)|	)|	PROPN
alkej-350	97	99	�	�	PROPN
alkej-350	97	100	�	�	PROPN
alkej-350	97	101	�	�	PROPN
alkej-350	97	102	…	…	PUNCT
alkej-350	97	103	(	(	PUNCT
alkej-350	97	104	25	25	NUM
alkej-350	97	105	)	)	PUNCT
alkej-350	97	106	7	7	NUM
alkej-350	97	107	.	.	PUNCT
alkej-350	97	108	simulation	simulation	NOUN
alkej-350	97	109	results	result	NOUN
alkej-350	97	110	we	we	PRON
alkej-350	97	111	illustrated	illustrate	VERB
alkej-350	97	112	the	the	DET
alkej-350	97	113	performance	performance	NOUN
alkej-350	97	114	of	of	ADP
alkej-350	97	115	the	the	DET
alkej-350	97	116	proposed	propose	VERB
alkej-350	97	117	algorithms	algorithm	NOUN
alkej-350	97	118	for	for	ADP
alkej-350	97	119	system	system	NOUN
alkej-350	97	120	identification	identification	NOUN
alkej-350	97	121	via	via	ADP
alkej-350	97	122	a	a	DET
alkej-350	97	123	computer	computer	NOUN
alkej-350	97	124	simulation	simulation	NOUN
alkej-350	97	125	.	.	PUNCT
alkej-350	98	1	an	an	DET
alkej-350	98	2	impulse	impulse	ADJ
alkej-350	98	3	response	response	NOUN
alkej-350	98	4	of	of	ADP
alkej-350	98	5	unknown	unknown	ADJ
alkej-350	98	6	system	system	NOUN
alkej-350	98	7	consists	consist	VERB
alkej-350	98	8	16	16	NUM
alkej-350	98	9	coefficients	coefficient	NOUN
alkej-350	98	10	may	may	AUX
alkej-350	98	11	be	be	AUX
alkej-350	98	12	one	one	NUM
alkej-350	98	13	of	of	ADP
alkej-350	98	14	three	three	NUM
alkej-350	98	15	systems	system	NOUN
alkej-350	98	16	,	,	PUNCT
alkej-350	98	17	the	the	DET
alkej-350	98	18	first	first	ADJ
alkej-350	98	19	impulse	impulse	ADJ
alkej-350	98	20	response	response	NOUN
alkej-350	98	21	,	,	PUNCT
alkej-350	98	22	the	the	DET
alkej-350	98	23	value	value	NOUN
alkej-350	98	24	of	of	ADP
alkej-350	98	25	5th	5th	ADJ
alkej-350	98	26	tap	tap	NOUN
alkej-350	98	27	equal	equal	ADJ
alkej-350	98	28	1	1	NUM
alkej-350	98	29	and	and	CCONJ
alkej-350	98	30	the	the	DET
alkej-350	98	31	others	other	NOUN
alkej-350	98	32	equal	equal	ADJ
alkej-350	98	33	zero	zero	NUM
alkej-350	98	34	is	be	AUX
alkej-350	98	35	called	call	VERB
alkej-350	98	36	sparse	sparse	ADJ
alkej-350	98	37	system	system	NOUN
alkej-350	98	38	,	,	PUNCT
alkej-350	98	39	the	the	DET
alkej-350	98	40	second	second	ADJ
alkej-350	98	41	impulse	impulse	ADJ
alkej-350	98	42	response	response	NOUN
alkej-350	98	43	,	,	PUNCT
alkej-350	98	44	the	the	DET
alkej-350	98	45	values	value	NOUN
alkej-350	98	46	of	of	ADP
alkej-350	98	47	odd	odd	ADJ
alkej-350	98	48	taps	tap	NOUN
alkej-350	98	49	equal	equal	ADJ
alkej-350	98	50	1	1	NUM
alkej-350	98	51	and	and	CCONJ
alkej-350	98	52	the	the	DET
alkej-350	98	53	others	other	NOUN
alkej-350	98	54	equal	equal	ADJ
alkej-350	98	55	zero	zero	NUM
alkej-350	98	56	is	be	AUX
alkej-350	98	57	called	call	VERB
alkej-350	98	58	semi	semi	ADV
alkej-350	98	59	sparse	sparse	ADJ
alkej-350	98	60	system	system	NOUN
alkej-350	98	61	and	and	CCONJ
alkej-350	98	62	the	the	DET
alkej-350	98	63	third	third	ADJ
alkej-350	98	64	impulse	impulse	ADJ
alkej-350	98	65	response	response	NOUN
alkej-350	98	66	,	,	PUNCT
alkej-350	98	67	the	the	DET
alkej-350	98	68	values	value	NOUN
alkej-350	98	69	of	of	ADP
alkej-350	98	70	all	all	DET
alkej-350	98	71	taps	tap	NOUN
alkej-350	98	72	equal	equal	ADJ
alkej-350	98	73	1	1	NUM
alkej-350	98	74	is	be	AUX
alkej-350	98	75	called	call	VERB
alkej-350	98	76	not	not	PART
alkej-350	98	77	sparse	sparse	ADJ
alkej-350	98	78	system	system	NOUN
alkej-350	98	79	.	.	PUNCT
alkej-350	99	1	a	a	DET
alkej-350	99	2	white	white	ADJ
alkej-350	99	3	gaussian	gaussian	NOUN
alkej-350	99	4	noise	noise	NOUN
alkej-350	99	5	used	use	VERB
alkej-350	99	6	as	as	ADP
alkej-350	99	7	input	input	NOUN
alkej-350	99	8	signal	signal	NOUN
alkej-350	99	9	and	and	CCONJ
alkej-350	99	10	observed	observed	ADJ
alkej-350	99	11	noise	noise	NOUN
alkej-350	99	12	with	with	ADP
alkej-350	99	13	variances	variance	NOUN
alkej-350	99	14	1	1	NUM
alkej-350	99	15	and	and	CCONJ
alkej-350	99	16	0.01	0.01	NUM
alkej-350	99	17	individually	individually	ADV
alkej-350	99	18	.	.	PUNCT
alkej-350	100	1	the	the	DET
alkej-350	100	2	first	first	ADJ
alkej-350	100	3	experiment	experiment	NOUN
alkej-350	100	4	is	be	AUX
alkej-350	100	5	planned	plan	VERB
alkej-350	100	6	to	to	PART
alkej-350	100	7	examine	examine	VERB
alkej-350	100	8	the	the	DET
alkej-350	100	9	convergence	convergence	NOUN
alkej-350	100	10	rate	rate	NOUN
alkej-350	100	11	performance	performance	NOUN
alkej-350	100	12	of	of	ADP
alkej-350	100	13	sparse	sparse	ADJ
alkej-350	100	14	system	system	NOUN
alkej-350	100	15	with	with	AUX
alkej-350	100	16	apply	apply	VERB
alkej-350	100	17	our	our	PRON
alkej-350	100	18	methods	method	NOUN
alkej-350	100	19	with	with	ADP
alkej-350	100	20	different	different	ADJ
alkej-350	100	21	value	value	NOUN
alkej-350	100	22	of	of	ADP
alkej-350	100	23	�	�	PROPN
alkej-350	100	24	.	.	PUNCT
alkej-350	101	1	the	the	DET
alkej-350	101	2	parameters	parameter	NOUN
alkej-350	101	3	of	of	ADP
alkej-350	101	4	algorithms	algorithm	NOUN
alkej-350	101	5	are	be	AUX
alkej-350	101	6	providing	provide	VERB
alkej-350	101	7	in	in	ADP
alkej-350	101	8	tables	table	NOUN
alkej-350	101	9	1	1	NUM
alkej-350	101	10	,	,	PUNCT
alkej-350	101	11	2	2	NUM
alkej-350	101	12	,	,	PUNCT
alkej-350	101	13	3	3	NUM
alkej-350	101	14	,	,	PUNCT
alkej-350	101	15	and	and	CCONJ
alkej-350	101	16	4.the	4.the	DET
alkej-350	101	17	results	result	NOUN
alkej-350	101	18	of	of	ADP
alkej-350	101	19	algorithms	algorithm	NOUN
alkej-350	101	20	are	be	AUX
alkej-350	101	21	achieved	achieve	VERB
alkej-350	101	22	from	from	ADP
alkej-350	101	23	independent	independent	ADJ
alkej-350	101	24	simulations	simulation	NOUN
alkej-350	101	25	,	,	PUNCT
alkej-350	101	26	as	as	SCONJ
alkej-350	101	27	shown	show	VERB
alkej-350	101	28	in	in	ADP
alkej-350	101	29	fig’s.3	fig’s.3	NOUN
alkej-350	101	30	,	,	PUNCT
alkej-350	101	31	.4	.4	NUM
alkej-350	101	32	,	,	PUNCT
alkej-350	101	33	.5	.5	NUM
alkej-350	101	34	,	,	PUNCT
alkej-350	101	35	and	and	CCONJ
alkej-350	101	36	.6	.6	NUM
alkej-350	101	37	,	,	PUNCT
alkej-350	101	38	these	these	PRON
alkej-350	101	39	are	be	AUX
alkej-350	101	40	obvious	obvious	ADJ
alkej-350	101	41	that	that	SCONJ
alkej-350	101	42	the	the	DET
alkej-350	101	43	convergence	convergence	NOUN
alkej-350	101	44	rate	rate	NOUN
alkej-350	101	45	of	of	ADP
alkej-350	101	46	proposed	propose	VERB
alkej-350	101	47	algorithms	algorithm	NOUN
alkej-350	101	48	are	be	AUX
alkej-350	101	49	more	more	ADV
alkej-350	101	50	rapidly	rapidly	ADV
alkej-350	101	51	and	and	CCONJ
alkej-350	101	52	produces	produce	VERB
alkej-350	101	53	lower	low	ADJ
alkej-350	101	54	msd	msd	NOUN
alkej-350	101	55	than	than	SCONJ
alkej-350	101	56	the	the	DET
alkej-350	101	57	lms	lm	NOUN
alkej-350	101	58	are	be	AUX
alkej-350	101	59	done	do	VERB
alkej-350	101	60	in	in	ADP
alkej-350	101	61	a	a	DET
alkej-350	101	62	large	large	ADJ
alkej-350	101	63	value	value	NOUN
alkej-350	101	64	of	of	ADP
alkej-350	101	65	�	�	PROPN
alkej-350	101	66	.	.	PUNCT
alkej-350	102	1	the	the	DET
alkej-350	102	2	second	second	ADJ
alkej-350	102	3	experiment	experiment	NOUN
alkej-350	102	4	is	be	AUX
alkej-350	102	5	planned	plan	VERB
alkej-350	102	6	to	to	PART
alkej-350	102	7	test	test	VERB
alkej-350	102	8	the	the	DET
alkej-350	102	9	performance	performance	NOUN
alkej-350	102	10	of	of	ADP
alkej-350	102	11	the	the	DET
alkej-350	102	12	proposed	propose	VERB
alkej-350	102	13	algorithms	algorithm	NOUN
alkej-350	102	14	via	via	ADP
alkej-350	102	15	various	various	ADJ
alkej-350	102	16	sparsity	sparsity	NOUN
alkej-350	102	17	.	.	PUNCT
alkej-350	103	1	the	the	DET
alkej-350	103	2	unknown	unknown	ADJ
alkej-350	103	3	system	system	NOUN
alkej-350	103	4	here	here	ADV
alkej-350	103	5	is	be	AUX
alkej-350	103	6	sparse	sparse	ADJ
alkej-350	103	7	system	system	NOUN
alkej-350	103	8	,	,	PUNCT
alkej-350	103	9	then	then	ADV
alkej-350	103	10	after	after	ADP
alkej-350	103	11	1500	1500	NUM
alkej-350	103	12	iterations	iteration	NOUN
alkej-350	103	13	are	be	AUX
alkej-350	103	14	semi	semi	ADV
alkej-350	103	15	sparse	sparse	ADJ
alkej-350	103	16	system	system	NOUN
alkej-350	103	17	and	and	CCONJ
alkej-350	103	18	later	later	ADV
alkej-350	103	19	,	,	PUNCT
alkej-350	103	20	after	after	SCONJ
alkej-350	103	21	3000	3000	NUM
alkej-350	103	22	iteration	iteration	NOUN
alkej-350	103	23	be	be	VERB
alkej-350	103	24	not	not	PART
alkej-350	103	25	sparse	sparse	ADJ
alkej-350	103	26	system	system	NOUN
alkej-350	103	27	.	.	PUNCT
alkej-350	104	1	the	the	DET
alkej-350	104	2	parameters	parameter	NOUN
alkej-350	104	3	are	be	AUX
alkej-350	104	4	set	set	VERB
alkej-350	104	5	as	as	ADP
alkej-350	104	6	in	in	ADP
alkej-350	104	7	table	table	NOUN
alkej-350	104	8	5.fig	5.fig	NOUN
alkej-350	104	9	.	.	PROPN
alkej-350	104	10	7	7	NUM
alkej-350	104	11	and	and	CCONJ
alkej-350	104	12	fig	fig	NOUN
alkej-350	104	13	.	.	PUNCT
alkej-350	105	1	8	8	NUM
alkej-350	105	2	show	show	VERB
alkej-350	105	3	the	the	DET
alkej-350	105	4	average	average	ADJ
alkej-350	105	5	estimate	estimate	NOUN
alkej-350	105	6	of	of	ADP
alkej-350	105	7	mean	mean	ADJ
alkej-350	105	8	square	square	ADJ
alkej-350	105	9	deviation	deviation	NOUN
alkej-350	105	10	(	(	PUNCT
alkej-350	105	11	msd	msd	NOUN
alkej-350	105	12	)	)	PUNCT
alkej-350	105	13	.	.	PUNCT
alkej-350	106	1	both	both	PRON
alkej-350	106	2	the	the	DET
alkej-350	106	3	ℓ	ℓ	NOUN
alkej-350	106	4	�	�	NOUN
alkej-350	106	5	-rzalms	-rzalm	NOUN
alkej-350	106	6	and	and	CCONJ
alkej-350	106	7	the	the	DET
alkej-350	106	8	p	p	PROPN
alkej-350	106	9	-	-	PUNCT
alkej-350	106	10	rza	rza	NOUN
alkej-350	106	11	-	-	PUNCT
alkej-350	106	12	lms	lm	NOUN
alkej-350	106	13	return	return	VERB
alkej-350	106	14	better	well	ADV
alkej-350	106	15	steadystate	steadystate	VERB
alkej-350	106	16	msd	msd	NOUN
alkej-350	106	17	and	and	CCONJ
alkej-350	106	18	faster	fast	ADJ
alkej-350	106	19	convergence	convergence	NOUN
alkej-350	106	20	than	than	ADP
alkej-350	106	21	other	other	ADJ
alkej-350	106	22	algorithms	algorithm	NOUN
alkej-350	106	23	(	(	PUNCT
alkej-350	106	24	before	before	ADP
alkej-350	106	25	the	the	DET
alkej-350	106	26	1500th	1500th	NOUN
alkej-350	106	27	iteration)when	iteration)when	PROPN
alkej-350	106	28	the	the	DET
alkej-350	106	29	system	system	NOUN
alkej-350	106	30	is	be	AUX
alkej-350	106	31	sparse	sparse	ADJ
alkej-350	106	32	.	.	PUNCT
alkej-350	107	1	when	when	SCONJ
alkej-350	107	2	the	the	DET
alkej-350	107	3	number	number	NOUN
alkej-350	107	4	of	of	ADP
alkej-350	107	5	non	non	ADJ
alkej-350	107	6	-	-	ADJ
alkej-350	107	7	zero	zero	ADJ
alkej-350	107	8	taps	tap	NOUN
alkej-350	107	9	increases	increase	VERB
alkej-350	107	10	to	to	ADP
alkej-350	107	11	8	8	NUM
alkej-350	107	12	,	,	PUNCT
alkej-350	107	13	(	(	PUNCT
alkej-350	107	14	after	after	ADP
alkej-350	107	15	the	the	DET
alkej-350	107	16	1500th	1500th	ADJ
alkej-350	107	17	iteration	iteration	NOUN
alkej-350	107	18	and	and	CCONJ
alkej-350	107	19	before	before	ADP
alkej-350	107	20	the	the	DET
alkej-350	107	21	3000th	3000th	ADJ
alkej-350	107	22	iteration	iteration	NOUN
alkej-350	107	23	)	)	PUNCT
alkej-350	107	24	when	when	SCONJ
alkej-350	107	25	the	the	DET
alkej-350	107	26	system	system	NOUN
alkej-350	107	27	is	be	AUX
alkej-350	107	28	semi	semi	ADV
alkej-350	107	29	sparse	sparse	ADJ
alkej-350	107	30	,	,	PUNCT
alkej-350	107	31	the	the	DET
alkej-350	107	32	performance	performance	NOUN
alkej-350	107	33	of	of	ADP
alkej-350	107	34	algorithms	algorithm	NOUN
alkej-350	107	35	deteriorate	deteriorate	VERB
alkej-350	107	36	while	while	SCONJ
alkej-350	107	37	the	the	DET
alkej-350	107	38	ℓ	ℓ	PROPN
alkej-350	107	39	�	�	PROPN
alkej-350	107	40	-rza	-rza	NOUN
alkej-350	107	41	-	-	PUNCT
alkej-350	107	42	lms	lm	NOUN
alkej-350	107	43	and	and	CCONJ
alkej-350	107	44	p	p	NOUN
alkej-350	107	45	-	-	PUNCT
alkej-350	107	46	rzalms	rzalm	NOUN
alkej-350	107	47	maintains	maintain	VERB
alkej-350	107	48	the	the	DET
alkej-350	107	49	best	good	ADJ
alkej-350	107	50	performance	performance	NOUN
alkej-350	107	51	and	and	CCONJ
alkej-350	107	52	the	the	DET
alkej-350	107	53	msd	msd	NOUN
alkej-350	107	54	of	of	ADP
alkej-350	107	55	ℓ	ℓ	PROPN
alkej-350	107	56	�	�	PROPN
alkej-350	107	57	-rza	-rza	NOUN
alkej-350	107	58	-	-	PUNCT
alkej-350	107	59	lms	lm	NOUN
alkej-350	107	60	algorithm	algorithm	NOUN
alkej-350	107	61	is	be	AUX
alkej-350	107	62	lower	low	ADJ
alkej-350	107	63	than	than	ADP
alkej-350	107	64	that	that	PRON
alkej-350	107	65	of	of	ADP
alkej-350	107	66	ℓ	ℓ	PROPN
alkej-350	107	67	�	�	PROPN
alkej-350	107	68	-za	-za	NOUN
alkej-350	107	69	-	-	PUNCT
alkej-350	107	70	lms	lms	NOUN
alkej-350	107	71	algorithm	algorithm	NOUN
alkej-350	107	72	and	and	CCONJ
alkej-350	107	73	the	the	DET
alkej-350	107	74	msd	msd	NOUN
alkej-350	107	75	of	of	ADP
alkej-350	107	76	prza	prza	NOUN
alkej-350	107	77	-	-	PUNCT
alkej-350	107	78	lms	lm	NOUN
alkej-350	107	79	algorithm	algorithm	NOUN
alkej-350	107	80	is	be	AUX
alkej-350	107	81	lower	low	ADJ
alkej-350	107	82	than	than	ADP
alkej-350	107	83	that	that	PRON
alkej-350	107	84	of	of	ADP
alkej-350	107	85	p	p	PROPN
alkej-350	107	86	-	-	PUNCT
alkej-350	107	87	zalms	zalms	NOUN
alkej-350	107	88	algorithm	algorithm	NOUN
alkej-350	107	89	among	among	ADP
alkej-350	107	90	this	this	DET
alkej-350	107	91	filter	filter	NOUN
alkej-350	107	92	.	.	PUNCT
alkej-350	108	1	when	when	SCONJ
alkej-350	108	2	the	the	DET
alkej-350	108	3	system	system	NOUN
alkej-350	108	4	is	be	AUX
alkej-350	108	5	non	non	ADJ
alkej-350	108	6	-	-	ADJ
alkej-350	108	7	sparse	sparse	ADJ
alkej-350	108	8	(	(	PUNCT
alkej-350	108	9	after	after	ADP
alkej-350	108	10	3000	3000	NUM
alkej-350	108	11	iterations	iteration	NOUN
alkej-350	108	12	)	)	PUNCT
alkej-350	108	13	,	,	PUNCT
alkej-350	108	14	the	the	DET
alkej-350	108	15	ℓ	ℓ	PROPN
alkej-350	108	16	�	�	PROPN
alkej-350	108	17	-za	-za	NOUN
alkej-350	108	18	-	-	PUNCT
alkej-350	108	19	lms	lm	NOUN
alkej-350	108	20	and	and	CCONJ
alkej-350	108	21	p	p	PROPN
alkej-350	108	22	-	-	PUNCT
alkej-350	108	23	rza	rza	NOUN
alkej-350	108	24	-	-	PUNCT
alkej-350	108	25	lms	lm	NOUN
alkej-350	108	26	maintain	maintain	VERB
alkej-350	108	27	the	the	DET
alkej-350	108	28	best	good	ADJ
alkej-350	108	29	performance	performance	NOUN
alkej-350	108	30	with	with	ADP
alkej-350	108	31	this	this	DET
alkej-350	108	32	filter	filter	NOUN
alkej-350	108	33	while	while	SCONJ
alkej-350	108	34	the	the	DET
alkej-350	108	35	others	other	NOUN
alkej-350	108	36	still	still	ADV
alkej-350	108	37	achieves	achieve	VERB
alkej-350	108	38	comparably	comparably	ADV
alkej-350	108	39	to	to	ADP
alkej-350	108	40	the	the	DET
alkej-350	108	41	lms	lm	NOUN
alkej-350	108	42	.	.	PUNCT
alkej-350	109	1	the	the	DET
alkej-350	109	2	third	third	ADJ
alkej-350	109	3	experiment	experiment	NOUN
alkej-350	109	4	suggests	suggest	VERB
alkej-350	109	5	a	a	DET
alkej-350	109	6	system	system	NOUN
alkej-350	109	7	with	with	ADP
alkej-350	109	8	128	128	NUM
alkej-350	109	9	-	-	PUNCT
alkej-350	109	10	taps	tap	NOUN
alkej-350	109	11	with	with	ADP
alkej-350	109	12	8	8	NUM
alkej-350	109	13	nonzero	nonzero	NOUN
alkej-350	109	14	coefficients	coefficient	NOUN
alkej-350	109	15	as	as	SCONJ
alkej-350	109	16	shown	show	VERB
alkej-350	109	17	in	in	ADP
alkej-350	109	18	fig	fig	NOUN
alkej-350	109	19	9	9	NUM
alkej-350	109	20	.	.	PUNCT
alkej-350	110	1	the	the	DET
alkej-350	110	2	iterations	iteration	NOUN
alkej-350	110	3	of	of	ADP
alkej-350	110	4	all	all	DET
alkej-350	110	5	filters	filter	NOUN
alkej-350	110	6	are	be	AUX
alkej-350	110	7	5000	5000	NUM
alkej-350	110	8	.	.	PUNCT
alkej-350	111	1	table	table	NOUN
alkej-350	111	2	6	6	NUM
alkej-350	111	3	present	present	VERB
alkej-350	111	4	the	the	DET
alkej-350	111	5	parameters	parameter	NOUN
alkej-350	111	6	of	of	ADP
alkej-350	111	7	algorithms	algorithm	NOUN
alkej-350	111	8	for	for	ADP
alkej-350	111	9	this	this	DET
alkej-350	111	10	experiment	experiment	NOUN
alkej-350	111	11	,	,	PUNCT
alkej-350	111	12	the	the	DET
alkej-350	111	13	average	average	ADJ
alkej-350	111	14	msd	msd	NOUN
alkej-350	111	15	is	be	AUX
alkej-350	111	16	shown	show	VERB
alkej-350	111	17	in	in	ADP
alkej-350	111	18	fig.10	fig.10	PRON
alkej-350	111	19	and	and	CCONJ
alkej-350	111	20	fig.11	fig.11	NOUN
alkej-350	111	21	.	.	PUNCT
alkej-350	112	1	for	for	ADP
alkej-350	112	2	this	this	DET
alkej-350	112	3	long	long	ADJ
alkej-350	112	4	sparse	sparse	ADJ
alkej-350	112	5	system	system	NOUN
alkej-350	112	6	,	,	PUNCT
alkej-350	112	7	the	the	DET
alkej-350	112	8	convergence	convergence	NOUN
alkej-350	112	9	rate	rate	NOUN
alkej-350	112	10	of	of	ADP
alkej-350	112	11	all	all	DET
alkej-350	112	12	filters	filter	NOUN
alkej-350	112	13	is	be	AUX
alkej-350	112	14	almost	almost	ADV
alkej-350	112	15	the	the	DET
alkej-350	112	16	best	good	ADJ
alkej-350	112	17	form	form	NOUN
alkej-350	112	18	that	that	DET
alkej-350	112	19	of	of	ADP
alkej-350	112	20	lms	lm	NOUN
alkej-350	112	21	,	,	PUNCT
alkej-350	112	22	but	but	CCONJ
alkej-350	112	23	the	the	DET
alkej-350	112	24	msd	msd	NOUN
alkej-350	112	25	of	of	ADP
alkej-350	112	26	ℓ0	ℓ0	PROPN
alkej-350	112	27	-	-	PUNCT
alkej-350	112	28	rza	rza	NOUN
alkej-350	112	29	-	-	PUNCT
alkej-350	112	30	lms	lms	PROPN
alkej-350	112	31	and	and	CCONJ
alkej-350	112	32	p	p	PROPN
alkej-350	112	33	-	-	PUNCT
alkej-350	112	34	rza	rza	NOUN
alkej-350	112	35	-	-	PUNCT
alkej-350	112	36	lms	lm	NOUN
alkej-350	112	37	are	be	AUX
alkej-350	112	38	relatively	relatively	ADV
alkej-350	112	39	minimum	minimum	ADJ
alkej-350	112	40	.	.	PUNCT
alkej-350	113	1	table	table	NOUN
alkej-350	113	2	1	1	NUM
alkej-350	113	3	,	,	PUNCT
alkej-350	113	4	parameters	parameter	NOUN
alkej-350	113	5	of	of	ADP
alkej-350	113	6	�	�	PROPN
alkej-350	113	7	�	�	PROPN
alkej-350	113	8	-za	-za	NOUN
alkej-350	113	9	-	-	PUNCT
alkej-350	113	10	lms	lms	NOUN
alkej-350	113	11	algorithm	algorithm	NOUN
alkej-350	113	12	.	.	PUNCT
alkej-350	114	1	�	�	PROPN
alkej-350	114	2	�	�	PROPN
alkej-350	114	3	�	�	PROPN
alkej-350	114	4	�	�	PROPN
alkej-350	114	5	�	�	PROPN
alkej-350	114	6	�	�	PROPN
alkej-350	114	7	�	�	PROPN
alkej-350	114	8	�	�	PROPN
alkej-350	114	9	lms	lm	NOUN
alkej-350	114	10	0.025	0.025	NUM
alkej-350	114	11	ℓ	ℓ	NUM
alkej-350	114	12	�	�	PROPN
alkej-350	114	13	-za	-za	NOUN
alkej-350	114	14	-	-	PUNCT
alkej-350	114	15	lms1	lms1	ADJ
alkej-350	114	16	0.0156	0.0156	NUM
alkej-350	114	17	1.6	1.6	NUM
alkej-350	114	18	∗	∗	NOUN
alkej-350	114	19	10	10	NUM
alkej-350	114	20	�	�	PROPN
alkej-350	114	21	�	�	PROPN
alkej-350	114	22	5	5	NUM
alkej-350	114	23	1.6	1.6	NUM
alkej-350	114	24	∗	∗	NOUN
alkej-350	114	25	10	10	NUM
alkej-350	114	26	�	�	PROPN
alkej-350	114	27	�	�	PROPN
alkej-350	114	28	ℓ	ℓ	NUM
alkej-350	114	29	�	�	PROPN
alkej-350	114	30	-za	-za	NOUN
alkej-350	114	31	-	-	PUNCT
alkej-350	114	32	lms2	lms2	NOUN
alkej-350	114	33	0.025	0.025	NUM
alkej-350	114	34	2.5	2.5	NUM
alkej-350	114	35	∗	∗	NOUN
alkej-350	114	36	10	10	NUM
alkej-350	114	37	�	�	PROPN
alkej-350	114	38	�	�	PROPN
alkej-350	114	39	5	5	NUM
alkej-350	114	40	2.5	2.5	NUM
alkej-350	114	41	∗	∗	NOUN
alkej-350	114	42	10	10	NUM
alkej-350	114	43	�	�	PROPN
alkej-350	114	44	�	�	PROPN
alkej-350	114	45	ℓ	ℓ	NUM
alkej-350	114	46	�	�	PROPN
alkej-350	114	47	-za	-za	NOUN
alkej-350	114	48	-	-	PUNCT
alkej-350	114	49	lms3	lms3	NOUN
alkej-350	114	50	0.0313	0.0313	NUM
alkej-350	114	51	3	3	NUM
alkej-350	114	52	∗	∗	NOUN
alkej-350	114	53	10	10	NUM
alkej-350	114	54	�	�	PROPN
alkej-350	114	55	�	�	PROPN
alkej-350	114	56	5	5	NUM
alkej-350	114	57	3	3	NUM
alkej-350	114	58	∗	∗	NOUN
alkej-350	114	59	10	10	NUM
alkej-350	114	60	�	�	PROPN
alkej-350	114	61	�	�	NOUN
alkej-350	114	62	table	table	NOUN
alkej-350	114	63	2	2	NUM
alkej-350	114	64	,	,	PUNCT
alkej-350	114	65	parameters	parameter	NOUN
alkej-350	114	66	of	of	ADP
alkej-350	114	67	�	�	PROPN
alkej-350	114	68	�	�	PROPN
alkej-350	114	69	-rza	-rza	NOUN
alkej-350	114	70	-	-	PUNCT
alkej-350	114	71	lms	lm	NOUN
alkej-350	114	72	algorithm	algorithm	NOUN
alkej-350	114	73	.	.	PUNCT
alkej-350	115	1	�	�	PROPN
alkej-350	115	2	�	�	PROPN
alkej-350	115	3	�	�	PROPN
alkej-350	115	4	�	�	PROPN
alkej-350	115	5	�	�	PROPN
alkej-350	115	6	�	�	PROPN
alkej-350	115	7	�	�	PROPN
alkej-350	115	8	�	�	PROPN
alkej-350	115	9	�	�	PROPN
alkej-350	115	10	lms	lm	NOUN
alkej-350	115	11	0.025	0.025	NUM
alkej-350	115	12	ℓ	ℓ	NUM
alkej-350	115	13	�	�	PROPN
alkej-350	115	14	-rzalms1	-rzalms1	PROPN
alkej-350	115	15	0.0156	0.0156	NUM
alkej-350	115	16	8	8	NUM
alkej-350	115	17	∗	∗	NOUN
alkej-350	115	18	10	10	NUM
alkej-350	115	19	�	�	PROPN
alkej-350	115	20	�	�	PROPN
alkej-350	115	21	5	5	NUM
alkej-350	115	22	1.6∗	1.6∗	NUM
alkej-350	115	23	10	10	NUM
alkej-350	115	24	�	�	PROPN
alkej-350	115	25	�	�	PROPN
alkej-350	115	26	ℓ	ℓ	NUM
alkej-350	115	27	�	�	PROPN
alkej-350	115	28	-rzalms2	-rzalms2	PROPN
alkej-350	115	29	0.025	0.025	NUM
alkej-350	115	30	1.3∗	1.3∗	NUM
alkej-350	115	31	10	10	NUM
alkej-350	115	32	�	�	PROPN
alkej-350	115	33	�	�	PROPN
alkej-350	115	34	5	5	NUM
alkej-350	115	35	2.5∗	2.5∗	NUM
alkej-350	115	36	10	10	NUM
alkej-350	115	37	�	�	PROPN
alkej-350	115	38	�	�	PROPN
alkej-350	115	39	ℓ	ℓ	PROPN
alkej-350	115	40	�	�	PROPN
alkej-350	115	41	-rzalms3	-rzalms3	PROPN
alkej-350	115	42	0.0313	0.0313	NUM
alkej-350	115	43	1.6∗	1.6∗	NUM
alkej-350	115	44	10	10	NUM
alkej-350	115	45	�	�	PROPN
alkej-350	115	46	�	�	PROPN
alkej-350	115	47	5	5	NUM
alkej-350	115	48	3	3	NUM
alkej-350	115	49	∗	∗	NOUN
alkej-350	115	50	10	10	NUM
alkej-350	115	51	�	�	PROPN
alkej-350	115	52	�	�	PROPN
alkej-350	115	53	table	table	NOUN
alkej-350	115	54	3	3	NUM
alkej-350	115	55	,	,	PUNCT
alkej-350	115	56	parameters	parameter	NOUN
alkej-350	115	57	of	of	ADP
alkej-350	115	58	p	p	PROPN
alkej-350	115	59	-	-	PUNCT
alkej-350	115	60	za	za	PROPN
alkej-350	115	61	-	-	PUNCT
alkej-350	115	62	lms	lm	NOUN
alkej-350	115	63	algorithm	algorithm	NOUN
alkej-350	115	64	.	.	PUNCT
alkej-350	116	1	�	�	PROPN
alkej-350	116	2	�	�	PROPN
alkej-350	116	3	�	�	PROPN
alkej-350	116	4	�	�	PROPN
alkej-350	116	5	�	�	PROPN
alkej-350	116	6	�	�	PROPN
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alkej-350	122	18	.	.	PUNCT
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alkej-350	124	1	4	4	X
alkej-350	124	2	.	.	X
alkej-350	124	3	learning	learn	VERB
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alkej-350	124	5	of	of	ADP
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alkej-350	124	9	-	-	PUNCT
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alkej-350	124	19	.	.	PUNCT
alkej-350	125	1	fig	fig	NOUN
alkej-350	125	2	.	.	PUNCT
alkej-350	126	1	5	5	X
alkej-350	126	2	.	.	X
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alkej-350	126	10	lms	lm	NOUN
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alkej-350	126	19	.	.	PUNCT
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alkej-350	127	2	.	.	PUNCT
alkej-350	128	1	6	6	X
alkej-350	128	2	.	.	X
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alkej-350	128	5	of	of	ADP
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alkej-350	128	7	-	-	PUNCT
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alkej-350	128	9	-	-	PUNCT
alkej-350	128	10	lms	lms	PROPN
alkej-350	128	11	with	with	ADP
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alkej-350	128	13	�	�	PROPN
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alkej-350	128	16	by	by	ADP
alkej-350	128	17	white	white	PROPN
alkej-350	128	18	signal	signal	PROPN
alkej-350	128	19	.	.	PUNCT
alkej-350	129	1	0	0	NUM
alkej-350	130	1	300	300	NUM
alkej-350	130	2	600	600	NUM
alkej-350	130	3	900	900	NUM
alkej-350	130	4	1200	1200	NUM
alkej-350	130	5	1500	1500	NUM
alkej-350	130	6	-	-	SYM
alkej-350	130	7	50	50	NUM
alkej-350	130	8	-40	-40	NUM
alkej-350	130	9	-30	-30	NUM
alkej-350	130	10	-20	-20	NUM
alkej-350	130	11	-10	-10	SYM
alkej-350	130	12	0	0	NUM
alkej-350	130	13	10	10	NUM
alkej-350	130	14	sparse	sparse	ADJ
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alkej-350	130	18	m	m	PROPN
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alkej-350	130	26	lms	lms	PROPN
alkej-350	130	27	l0	l0	PROPN
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alkej-350	130	29	za	za	PROPN
alkej-350	130	30	-	-	PROPN
alkej-350	130	31	lms1	lms1	PROPN
alkej-350	130	32	l0	l0	PROPN
alkej-350	130	33	-	-	PUNCT
alkej-350	130	34	za	za	PROPN
alkej-350	130	35	-	-	NOUN
alkej-350	130	36	lms2	lms2	NOUN
alkej-350	130	37	l0	l0	PROPN
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alkej-350	130	39	za	za	PROPN
alkej-350	130	40	-	-	NOUN
alkej-350	130	41	lms3	lms3	NOUN
alkej-350	130	42	0	0	NUM
alkej-350	130	43	300	300	NUM
alkej-350	130	44	600	600	NUM
alkej-350	130	45	900	900	NUM
alkej-350	130	46	1200	1200	NUM
alkej-350	130	47	1500	1500	NUM
alkej-350	130	48	-50	-50	PUNCT
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alkej-350	130	50	-30	-30	NUM
alkej-350	130	51	-20	-20	NUM
alkej-350	130	52	-10	-10	PUNCT
alkej-350	130	53	0	0	NUM
alkej-350	130	54	10	10	NUM
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alkej-350	130	61	v	v	INTJ
alkej-350	130	62	al	al	PROPN
alkej-350	130	63	ue	ue	PROPN
alkej-350	130	64	in	in	ADP
alkej-350	130	65	d	d	PROPN
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alkej-350	130	68	l0	l0	PROPN
alkej-350	130	69	-	-	PUNCT
alkej-350	130	70	rza	rza	NOUN
alkej-350	130	71	-	-	PUNCT
alkej-350	130	72	lms1	lms1	PROPN
alkej-350	130	73	l0	l0	PROPN
alkej-350	130	74	-	-	PUNCT
alkej-350	130	75	rza	rza	NOUN
alkej-350	130	76	-	-	PUNCT
alkej-350	130	77	lms2	lms2	NOUN
alkej-350	130	78	l0	l0	PROPN
alkej-350	130	79	-	-	PUNCT
alkej-350	130	80	rza	rza	PROPN
alkej-350	130	81	-	-	PUNCT
alkej-350	130	82	lms3	lms3	PROPN
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alkej-350	130	84	300	300	NUM
alkej-350	130	85	600	600	NUM
alkej-350	130	86	900	900	NUM
alkej-350	130	87	1200	1200	NUM
alkej-350	130	88	1500	1500	NUM
alkej-350	130	89	-	-	SYM
alkej-350	130	90	40	40	NUM
alkej-350	130	91	-30	-30	NUM
alkej-350	130	92	-20	-20	NUM
alkej-350	130	93	-10	-10	SYM
alkej-350	130	94	0	0	NUM
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alkej-350	130	100	m	m	PROPN
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alkej-350	130	102	v	v	INTJ
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alkej-350	130	109	p	p	PROPN
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alkej-350	130	111	za	za	PROPN
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alkej-350	130	118	lms2	lms2	NOUN
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alkej-350	130	125	300	300	NUM
alkej-350	130	126	600	600	NUM
alkej-350	130	127	900	900	NUM
alkej-350	130	128	1200	1200	NUM
alkej-350	130	129	1500	1500	NUM
alkej-350	130	130	-	-	SYM
alkej-350	130	131	50	50	NUM
alkej-350	130	132	-40	-40	NUM
alkej-350	130	133	-30	-30	NUM
alkej-350	130	134	-20	-20	NUM
alkej-350	130	135	-10	-10	SYM
alkej-350	130	136	0	0	NUM
alkej-350	130	137	10	10	NUM
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alkej-350	130	154	-	-	PUNCT
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alkej-350	130	157	-	-	PUNCT
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alkej-350	130	159	-	-	PUNCT
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alkej-350	130	161	p	p	PROPN
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alkej-350	130	163	rza	rza	NOUN
alkej-350	130	164	-	-	PUNCT
alkej-350	130	165	lms3	lms3	PROPN
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alkej-350	132	19	6269(2017	6269(2017	NUM
alkej-350	132	20	)	)	PUNCT
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alkej-350	133	1	7	7	X
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alkej-350	135	2	.	.	PUNCT
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alkej-350	140	2	.	.	PUNCT
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alkej-350	141	5	-	-	PUNCT
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alkej-350	143	2	.	.	PUNCT
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alkej-350	144	5	-	-	PUNCT
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alkej-350	151	29	process	process	NOUN
alkej-350	151	30	.	.	PUNCT
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alkej-350	153	6	,	,	PUNCT
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alkej-350	153	8	.	.	PUNCT
alkej-350	154	1	774–777	774–777	NUM
alkej-350	154	2	,	,	PUNCT
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alkej-350	154	6	.	.	PUNCT
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alkej-350	155	16	adaptation	adaptation	NOUN
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alkej-350	155	18	echo	echo	NOUN
alkej-350	155	19	cancellers	canceller	NOUN
alkej-350	155	20	,	,	PUNCT
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alkej-350	155	22	ieee	ieee	NOUN
alkej-350	155	23	trans	trans	PROPN
alkej-350	155	24	.	.	PROPN
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alkej-350	155	26	audio	audio	NOUN
alkej-350	155	27	process	process	NOUN
alkej-350	155	28	.	.	PUNCT
alkej-350	155	29	,	,	PUNCT
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alkej-350	155	31	.	.	PROPN
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alkej-350	155	33	,	,	PUNCT
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alkej-350	155	35	.	.	NOUN
alkej-350	155	36	5	5	NUM
alkej-350	155	37	,	,	PUNCT
alkej-350	155	38	pp	pp	ADJ
alkej-350	155	39	.	.	PUNCT
alkej-350	156	1	508–518	508–518	NUM
alkej-350	156	2	,	,	PUNCT
alkej-350	156	3	sep	sep	PROPN
alkej-350	156	4	.	.	PROPN
alkej-350	156	5	2000	2000	NUM
alkej-350	156	6	.	.	PUNCT
alkej-350	157	1	[	[	X
alkej-350	157	2	6	6	NUM
alkej-350	157	3	]	]	PUNCT
alkej-350	157	4	h.	h.	PROPN
alkej-350	157	5	deng	deng	PROPN
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alkej-350	157	11	“	"	PUNCT
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alkej-350	157	13	update	update	NOUN
alkej-350	157	14	pnlms	pnlm	NOUN
alkej-350	157	15	algorithm	algorithm	NOUN
alkej-350	157	16	for	for	ADP
alkej-350	157	17	network	network	NOUN
alkej-350	157	18	echo	echo	NOUN
alkej-350	157	19	cancellation	cancellation	NOUN
alkej-350	157	20	,	,	PUNCT
alkej-350	157	21	”	"	PUNCT
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alkej-350	157	23	proc	proc	NOUN
alkej-350	157	24	.	.	PUNCT
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alkej-350	158	2	.	.	PUNCT
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alkej-350	161	1	0	0	NUM
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alkej-350	161	3	2000	2000	NUM
alkej-350	161	4	3000	3000	NUM
alkej-350	161	5	4000	4000	NUM
alkej-350	161	6	5000	5000	NUM
alkej-350	161	7	-50	-50	PUNCT
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alkej-350	161	10	-20	-20	NUM
alkej-350	161	11	-10	-10	SYM
alkej-350	161	12	0	0	NUM
alkej-350	161	13	10	10	NUM
alkej-350	161	14	20	20	NUM
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alkej-350	161	29	lms	lms	PROPN
alkej-350	161	30	l0	l0	PROPN
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alkej-350	161	33	za	za	PROPN
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alkej-350	161	37	-	-	PUNCT
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alkej-350	161	39	l0	l0	PROPN
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alkej-350	161	42	-	-	PUNCT
alkej-350	161	43	lms	lms	PRON
alkej-350	161	44	l0	l0	PROPN
alkej-350	161	45	-	-	PUNCT
alkej-350	161	46	rza	rza	NOUN
alkej-350	161	47	-	-	PUNCT
alkej-350	161	48	lms	lms	PROPN
alkej-350	161	49	0	0	NUM
alkej-350	161	50	1000	1000	NUM
alkej-350	161	51	2000	2000	NUM
alkej-350	161	52	3000	3000	NUM
alkej-350	161	53	4000	4000	NUM
alkej-350	161	54	5000	5000	NUM
alkej-350	161	55	-50	-50	PUNCT
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alkej-350	161	57	-30	-30	NUM
alkej-350	161	58	-20	-20	NUM
alkej-350	161	59	-10	-10	SYM
alkej-350	161	60	0	0	NUM
alkej-350	161	61	10	10	NUM
alkej-350	161	62	20	20	NUM
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alkej-350	161	66	system	system	NOUN
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alkej-350	161	68	m	m	NOUN
alkej-350	161	69	sd	sd	NOUN
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alkej-350	161	71	al	al	PROPN
alkej-350	161	72	ue	ue	PROPN
alkej-350	162	1	s	s	PROPN
alkej-350	162	2	in	in	ADP
alkej-350	162	3	d	d	PROPN
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alkej-350	162	5	lms	lms	PROPN
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alkej-350	162	8	lms	lms	PROPN
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alkej-350	162	10	-	-	PUNCT
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alkej-350	162	13	-	-	PUNCT
alkej-350	162	14	lms	lm	NOUN
alkej-350	162	15	p	p	PROPN
alkej-350	162	16	-	-	PUNCT
alkej-350	162	17	za	za	PROPN
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alkej-350	162	19	lms	lm	NOUN
alkej-350	162	20	p	p	PROPN
alkej-350	162	21	-	-	PUNCT
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alkej-350	162	23	-	-	PUNCT
alkej-350	162	24	lms	lms	PROPN
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alkej-350	162	27	40	40	NUM
alkej-350	162	28	60	60	NUM
alkej-350	162	29	80	80	NUM
alkej-350	162	30	100	100	NUM
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alkej-350	162	58	5000	5000	NUM
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alkej-350	162	62	-25	-25	PROPN
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alkej-350	164	7	-	-	PUNCT
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alkej-350	164	13	-	-	PUNCT
alkej-350	164	14	lms	lms	PROPN
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alkej-350	164	16	-	-	PUNCT
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alkej-350	164	18	-	-	PUNCT
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alkej-350	164	23	-	-	PUNCT
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alkej-350	164	28	3000	3000	NUM
alkej-350	164	29	4000	4000	NUM
alkej-350	164	30	5000	5000	NUM
alkej-350	164	31	-	-	SYM
alkej-350	164	32	40	40	NUM
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alkej-350	166	10	-	-	PUNCT
alkej-350	166	11	lms	lms	PROPN
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alkej-350	166	13	-	-	PUNCT
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alkej-350	166	23	-	-	PUNCT
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alkej-350	166	27	with	with	ADP
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alkej-350	166	30	version	version	NOUN
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alkej-350	166	33	http://www.pdffactory.com	http://www.pdffactory.com	X
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alkej-350	168	20	)	)	PUNCT
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alkej-350	169	1	(	(	PUNCT
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alkej-350	169	3	)	)	PUNCT
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alkej-350	170	2	,	,	PUNCT
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alkej-350	171	24	proc	proc	NOUN
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alkej-350	171	26	int	int	NOUN
alkej-350	171	27	.	.	PUNCT
alkej-350	171	28	conf	conf	PROPN
alkej-350	171	29	.	.	PUNCT
alkej-350	172	1	acoust	acoust	PROPN
alkej-350	172	2	.	.	PUNCT
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alkej-350	172	4	speech	speech	NOUN
alkej-350	172	5	,	,	PUNCT
alkej-350	172	6	signal	signal	NOUN
alkej-350	172	7	process	process	NOUN
alkej-350	172	8	.	.	PUNCT
alkej-350	173	1	(	(	PUNCT
alkej-350	173	2	icassp	icassp	PROPN
alkej-350	173	3	)	)	PUNCT
alkej-350	173	4	,	,	PUNCT
alkej-350	173	5	taiwan	taiwan	PROPN
alkej-350	173	6	,	,	PUNCT
alkej-350	173	7	pp	pp	X
alkej-350	173	8	.	.	PUNCT
alkej-350	174	1	3125–3128	3125–3128	NUM
alkej-350	174	2	,	,	PUNCT
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alkej-350	174	4	.	.	PROPN
alkej-350	174	5	2009	2009	NUM
alkej-350	174	6	.	.	PUNCT
alkej-350	175	1	[	[	X
alkej-350	175	2	8	8	NUM
alkej-350	175	3	]	]	X
alkej-350	175	4	c.	c.	NOUN
alkej-350	175	5	paleologu	paleologu	PROPN
alkej-350	175	6	,	,	PUNCT
alkej-350	175	7	j.	j.	PROPN
alkej-350	175	8	benesty	benesty	PROPN
alkej-350	175	9	,	,	PUNCT
alkej-350	175	10	and	and	CCONJ
alkej-350	175	11	s.	s.	PROPN
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alkej-350	175	13	,	,	PUNCT
alkej-350	175	14	“	"	PUNCT
alkej-350	175	15	an	an	DET
alkej-350	175	16	improved	improved	ADJ
alkej-350	175	17	proportionate	proportionate	ADJ
alkej-350	175	18	nlms	nlm	NOUN
alkej-350	175	19	algorithm	algorithm	NOUN
alkej-350	175	20	based	base	VERB
alkej-350	175	21	on	on	ADP
alkej-350	175	22	the	the	DET
alkej-350	175	23	ℓ	ℓ	PROPN
alkej-350	175	24	�	�	PROPN
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alkej-350	175	27	”	"	PUNCT
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alkej-350	175	29	proc	proc	NOUN
alkej-350	175	30	.	.	PUNCT
alkej-350	176	1	int	int	NOUN
alkej-350	176	2	.	.	PUNCT
alkej-350	176	3	conf	conf	PROPN
alkej-350	176	4	.	.	PUNCT
alkej-350	177	1	acoust	acoust	PROPN
alkej-350	177	2	.	.	PUNCT
alkej-350	177	3	,	,	PUNCT
alkej-350	177	4	speech	speech	NOUN
alkej-350	177	5	,	,	PUNCT
alkej-350	177	6	signal	signal	NOUN
alkej-350	177	7	process	process	NOUN
alkej-350	177	8	.	.	PUNCT
alkej-350	178	1	(	(	PUNCT
alkej-350	178	2	icassp	icassp	PROPN
alkej-350	178	3	)	)	PUNCT
alkej-350	178	4	,	,	PUNCT
alkej-350	178	5	dallas	dallas	PROPN
alkej-350	178	6	,	,	PUNCT
alkej-350	178	7	tx	tx	PROPN
alkej-350	178	8	,	,	PUNCT
alkej-350	178	9	pp	pp	ADJ
alkej-350	178	10	.	.	PUNCT
alkej-350	179	1	309–312	309–312	NUM
alkej-350	179	2	,	,	PUNCT
alkej-350	179	3	mar	mar	PROPN
alkej-350	179	4	.	.	PROPN
alkej-350	179	5	2010	2010	NUM
alkej-350	179	6	.	.	PUNCT
alkej-350	180	1	[	[	X
alkej-350	180	2	9	9	NUM
alkej-350	180	3	]	]	X
alkej-350	180	4	y.	y.	PROPN
alkej-350	180	5	kopsinis	kopsinis	PROPN
alkej-350	180	6	,	,	PUNCT
alkej-350	180	7	k.	k.	PROPN
alkej-350	180	8	slavakis	slavakis	PROPN
alkej-350	180	9	,	,	PUNCT
alkej-350	180	10	and	and	CCONJ
alkej-350	180	11	s.	s.	PROPN
alkej-350	180	12	theodoridis	theodoridis	PROPN
alkej-350	180	13	,	,	PUNCT
alkej-350	180	14	“	"	PUNCT
alkej-350	180	15	online	online	ADJ
alkej-350	180	16	sparse	sparse	ADJ
alkej-350	180	17	system	system	NOUN
alkej-350	180	18	identification	identification	NOUN
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alkej-350	180	20	signal	signal	ADJ
alkej-350	180	21	reconstruction	reconstruction	NOUN
alkej-350	180	22	using	use	VERB
alkej-350	180	23	projections	projection	NOUN
alkej-350	180	24	onto	onto	ADP
alkej-350	180	25	weighted	weight	VERB
alkej-350	180	26	ℓ	ℓ	PROPN
alkej-350	180	27	�	�	NOUN
alkej-350	180	28	balls	ball	NOUN
alkej-350	180	29	,	,	PUNCT
alkej-350	180	30	”	"	PUNCT
alkej-350	180	31	ieee	ieee	NOUN
alkej-350	180	32	trans	trans	PROPN
alkej-350	180	33	.	.	PROPN
alkej-350	180	34	signal	signal	PROPN
alkej-350	180	35	process	process	NOUN
alkej-350	180	36	.	.	PUNCT
alkej-350	181	1	,	,	PUNCT
alkej-350	181	2	vol	vol	NOUN
alkej-350	181	3	.	.	PROPN
alkej-350	182	1	59	59	NUM
alkej-350	182	2	,	,	PUNCT
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alkej-350	182	4	.	.	NOUN
alkej-350	182	5	3	3	NUM
alkej-350	182	6	,	,	PUNCT
alkej-350	182	7	pp	pp	ADJ
alkej-350	182	8	.	.	PUNCT
alkej-350	183	1	905–930	905–930	NUM
alkej-350	183	2	,	,	PUNCT
alkej-350	183	3	mar	mar	PROPN
alkej-350	183	4	.	.	PROPN
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alkej-350	183	6	.	.	PUNCT
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alkej-350	184	2	10	10	NUM
alkej-350	184	3	]	]	X
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alkej-350	184	5	su	su	PROPN
alkej-350	184	6	,	,	PUNCT
alkej-350	184	7	j.	j.	PROPN
alkej-350	184	8	jin	jin	PROPN
alkej-350	184	9	,	,	PUNCT
alkej-350	184	10	y.	y.	PROPN
alkej-350	184	11	gu	gu	PROPN
alkej-350	184	12	,	,	PUNCT
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alkej-350	184	14	j.	j.	PROPN
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alkej-350	184	18	analysis	analysis	NOUN
alkej-350	184	19	of	of	ADP
alkej-350	184	20	ℓ	ℓ	NOUN
alkej-350	184	21	�	�	PROPN
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alkej-350	184	28	”	"	PUNCT
alkej-350	184	29	ieee	ieee	PROPN
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alkej-350	184	33	process	process	NOUN
alkej-350	184	34	.	.	PUNCT
alkej-350	185	1	,	,	PUNCT
alkej-350	185	2	vol	vol	NOUN
alkej-350	185	3	.	.	PROPN
alkej-350	186	1	60	60	NUM
alkej-350	186	2	,	,	PUNCT
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alkej-350	186	4	.	.	NOUN
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alkej-350	186	6	,	,	PUNCT
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alkej-350	186	9	.	.	PUNCT
alkej-350	187	1	[	[	X
alkej-350	187	2	11	11	NUM
alkej-350	187	3	]	]	PUNCT
alkej-350	187	4	j.	j.	PROPN
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alkej-350	187	19	,	,	PUNCT
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alkej-350	187	21	“	"	PUNCT
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alkej-350	187	30	noisy	noisy	ADJ
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alkej-350	187	32	signals	signal	NOUN
alkej-350	187	33	”	"	PUNCT
alkej-350	187	34	ieee	ieee	PROPN
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alkej-350	187	36	.	.	PUNCT
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alkej-350	188	3	system	system	NOUN
alkej-350	188	4	.	.	PUNCT
alkej-350	189	1	,	,	PUNCT
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alkej-350	189	3	.	.	PROPN
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alkej-350	190	2	,	,	PUNCT
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alkej-350	191	8	e.	e.	PROPN
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alkej-350	191	21	,	,	PUNCT
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alkej-350	191	25	,	,	PUNCT
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alkej-350	191	27	.	.	PUNCT
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alkej-350	192	2	,	,	PUNCT
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alkej-350	192	4	.	.	PUNCT
alkej-350	193	1	[	[	X
alkej-350	193	2	13	13	NUM
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alkej-350	193	4	b.	b.	PROPN
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alkej-350	193	6	,	,	PUNCT
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alkej-350	193	10	,	,	PUNCT
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alkej-350	193	31	,	,	PUNCT
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alkej-350	193	34	.	.	PUNCT
alkej-350	194	1	ieee	ieee	NOUN
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alkej-350	194	10	,	,	PUNCT
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alkej-350	194	12	.	.	PUNCT
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alkej-350	195	2	,	,	PUNCT
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alkej-350	196	9	,	,	PUNCT
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alkej-350	196	27	.	.	PUNCT
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alkej-350	198	5	.	.	PUNCT
alkej-350	199	1	,	,	PUNCT
alkej-350	199	2	vol	vol	NOUN
alkej-350	199	3	.	.	PUNCT
alkej-350	199	4	assp29	assp29	PROPN
alkej-350	199	5	,	,	PUNCT
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alkej-350	199	9	,	,	PUNCT
alkej-350	199	10	pp	pp	ADJ
alkej-350	199	11	.	.	PUNCT
alkej-350	200	1	722–736	722–736	NUM
alkej-350	200	2	,	,	PUNCT
alkej-350	200	3	jun	jun	PROPN
alkej-350	200	4	.	.	PROPN
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alkej-350	201	21	ieee	ieee	NOUN
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alkej-350	201	23	.	.	PUNCT
alkej-350	202	1	acoust	acoust	PROPN
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alkej-350	203	4	.	.	PUNCT
alkej-350	203	5	,	,	PUNCT
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alkej-350	205	2	,	,	PUNCT
alkej-350	205	3	feb	feb	PROPN
alkej-350	205	4	.	.	PROPN
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alkej-350	206	13	,	,	PUNCT
alkej-350	206	14	“	"	PUNCT
alkej-350	206	15	analysis	analysis	NOUN
alkej-350	206	16	of	of	ADP
alkej-350	206	17	stability	stability	NOUN
alkej-350	206	18	and	and	CCONJ
alkej-350	206	19	performance	performance	NOUN
alkej-350	206	20	of	of	ADP
alkej-350	206	21	adaptation	adaptation	NOUN
alkej-350	206	22	algorithms	algorithm	NOUN
alkej-350	206	23	with	with	ADP
alkej-350	206	24	time	time	NOUN
alkej-350	206	25	-	-	PUNCT
alkej-350	206	26	invariant	invariant	ADJ
alkej-350	206	27	gains	gain	NOUN
alkej-350	206	28	,	,	PUNCT
alkej-350	206	29	”	"	PUNCT
alkej-350	206	30	ieee	ieee	NOUN
alkej-350	206	31	trans	trans	PROPN
alkej-350	206	32	.	.	PROPN
alkej-350	206	33	signal	signal	PROPN
alkej-350	206	34	process	process	NOUN
alkej-350	206	35	.	.	PUNCT
alkej-350	206	36	,	,	PUNCT
alkej-350	206	37	vol	vol	NOUN
alkej-350	206	38	.	.	PROPN
alkej-350	206	39	52	52	NUM
alkej-350	206	40	,	,	PUNCT
alkej-350	206	41	no	no	INTJ
alkej-350	206	42	.	.	NOUN
alkej-350	206	43	1	1	NUM
alkej-350	206	44	,	,	PUNCT
alkej-350	206	45	pp	pp	ADJ
alkej-350	206	46	.	.	PUNCT
alkej-350	207	1	103–116	103–116	NUM
alkej-350	207	2	,	,	PUNCT
alkej-350	207	3	jan	jan	PROPN
alkej-350	207	4	.	.	PROPN
alkej-350	207	5	2004	2004	NUM
alkej-350	207	6	.	.	PUNCT
alkej-350	208	1	[	[	X
alkej-350	208	2	17	17	NUM
alkej-350	208	3	]	]	PUNCT
alkej-350	208	4	s.	s.	PROPN
alkej-350	208	5	c.	c.	PROPN
alkej-350	208	6	chan	chan	PROPN
alkej-350	208	7	and	and	CCONJ
alkej-350	208	8	y.	y.	PROPN
alkej-350	208	9	zhou	zhou	PROPN
alkej-350	208	10	,	,	PUNCT
alkej-350	208	11	“	"	PUNCT
alkej-350	208	12	convergence	convergence	NOUN
alkej-350	208	13	behavior	behavior	NOUN
alkej-350	208	14	of	of	ADP
alkej-350	208	15	nlms	nlm	NOUN
alkej-350	208	16	algorithm	algorithm	VERB
alkej-350	208	17	for	for	ADP
alkej-350	208	18	gaussian	gaussian	ADJ
alkej-350	208	19	inputs	input	NOUN
alkej-350	208	20	:	:	PUNCT
alkej-350	208	21	solutions	solution	NOUN
alkej-350	208	22	using	use	VERB
alkej-350	208	23	generalized	generalized	ADJ
alkej-350	208	24	abelian	abelian	ADJ
alkej-350	208	25	integral	integral	ADJ
alkej-350	208	26	functions	function	NOUN
alkej-350	208	27	and	and	CCONJ
alkej-350	208	28	step	step	NOUN
alkej-350	208	29	size	size	NOUN
alkej-350	208	30	selection	selection	NOUN
alkej-350	208	31	,	,	PUNCT
alkej-350	208	32	”	"	PUNCT
alkej-350	208	33	j.	j.	PROPN
alkej-350	208	34	signal	signal	PROPN
alkej-350	208	35	process	process	NOUN
alkej-350	208	36	.	.	PUNCT
alkej-350	209	1	syst	syst	PROPN
alkej-350	209	2	.	.	PUNCT
alkej-350	209	3	,	,	PUNCT
alkej-350	209	4	vol	vol	NOUN
alkej-350	209	5	.	.	PROPN
alkej-350	210	1	3	3	NUM
alkej-350	210	2	,	,	PUNCT
alkej-350	210	3	pp	pp	ADJ
alkej-350	210	4	.	.	PUNCT
alkej-350	211	1	255–265	255–265	NUM
alkej-350	211	2	,	,	PUNCT
alkej-350	211	3	2010	2010	NUM
alkej-350	211	4	.	.	PUNCT
alkej-350	212	1	[	[	X
alkej-350	212	2	18	18	NUM
alkej-350	212	3	]	]	X
alkej-350	212	4	d.	d.	PROPN
alkej-350	212	5	t.	t.	PROPN
alkej-350	212	6	m.	m.	PROPN
alkej-350	212	7	slock	slock	PROPN
alkej-350	212	8	,	,	PUNCT
alkej-350	212	9	“	"	PUNCT
alkej-350	212	10	on	on	ADP
alkej-350	212	11	the	the	DET
alkej-350	212	12	convergence	convergence	NOUN
alkej-350	212	13	behavior	behavior	NOUN
alkej-350	212	14	of	of	ADP
alkej-350	212	15	the	the	DET
alkej-350	212	16	lms	lm	NOUN
alkej-350	212	17	and	and	CCONJ
alkej-350	212	18	the	the	DET
alkej-350	212	19	normalized	normalize	VERB
alkej-350	212	20	lms	lm	NOUN
alkej-350	212	21	algorithms	algorithm	NOUN
alkej-350	212	22	,	,	PUNCT
alkej-350	212	23	”	"	PUNCT
alkej-350	212	24	ieee	ieee	NOUN
alkej-350	212	25	trans	trans	PROPN
alkej-350	212	26	.	.	PROPN
alkej-350	212	27	signal	signal	PROPN
alkej-350	212	28	process	process	NOUN
alkej-350	212	29	.	.	PUNCT
alkej-350	212	30	,	,	PUNCT
alkej-350	212	31	vol	vol	NOUN
alkej-350	212	32	.	.	PROPN
alkej-350	212	33	41	41	NUM
alkej-350	212	34	,	,	PUNCT
alkej-350	212	35	no	no	INTJ
alkej-350	212	36	.	.	NOUN
alkej-350	212	37	9	9	NUM
alkej-350	212	38	,	,	PUNCT
alkej-350	212	39	pp	pp	ADJ
alkej-350	212	40	.	.	PUNCT
alkej-350	213	1	2811–2825	2811–2825	NUM
alkej-350	213	2	,	,	PUNCT
alkej-350	213	3	sep	sep	PROPN
alkej-350	213	4	.	.	PROPN
alkej-350	213	5	1993	1993	NUM
alkej-350	213	6	.	.	PUNCT
alkej-350	214	1	[	[	X
alkej-350	214	2	19	19	NUM
alkej-350	214	3	]	]	PUNCT
alkej-350	214	4	k.	k.	PROPN
alkej-350	214	5	shi	shi	PROPN
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alkej-350	214	7	p.	p.	PROPN
alkej-350	214	8	shi	shi	PROPN
alkej-350	214	9	,	,	PUNCT
alkej-350	214	10	“	"	PUNCT
alkej-350	214	11	convergence	convergence	NOUN
alkej-350	214	12	analysis	analysis	NOUN
alkej-350	214	13	of	of	ADP
alkej-350	214	14	sparse	sparse	ADJ
alkej-350	214	15	lms	lm	NOUN
alkej-350	214	16	algorithms	algorithm	NOUN
alkej-350	214	17	with	with	ADP
alkej-350	214	18	l1	l1	NOUN
alkej-350	214	19	-	-	PUNCT
alkej-350	214	20	norm	norm	NOUN
alkej-350	214	21	penalty	penalty	NOUN
alkej-350	214	22	,	,	PUNCT
alkej-350	214	23	”	"	PUNCT
alkej-350	214	24	signal	signal	NOUN
alkej-350	214	25	process	process	NOUN
alkej-350	214	26	.	.	PUNCT
alkej-350	215	1	,	,	PUNCT
alkej-350	215	2	vol	vol	NOUN
alkej-350	215	3	.	.	PROPN
alkej-350	216	1	90	90	NUM
alkej-350	216	2	,	,	PUNCT
alkej-350	216	3	no	no	INTJ
alkej-350	216	4	.	.	NOUN
alkej-350	216	5	12	12	NUM
alkej-350	216	6	,	,	PUNCT
alkej-350	216	7	pp	pp	ADJ
alkej-350	216	8	.	.	PUNCT
alkej-350	217	1	3289–3293	3289–3293	NUM
alkej-350	217	2	,	,	PUNCT
alkej-350	217	3	dec	dec	PROPN
alkej-350	217	4	.	.	PROPN
alkej-350	217	5	2010	2010	NUM
alkej-350	217	6	.	.	PUNCT
alkej-350	218	1	[	[	X
alkej-350	218	2	20	20	NUM
alkej-350	218	3	]	]	PUNCT
alkej-350	218	4	f.	f.	PROPN
alkej-350	218	5	y.	y.	PROPN
alkej-350	218	6	wu	wu	PROPN
alkej-350	218	7	,	,	PUNCT
alkej-350	218	8	student	student	NOUN
alkej-350	218	9	member	member	NOUN
alkej-350	218	10	,	,	PUNCT
alkej-350	218	11	ieee	ieee	NOUN
alkej-350	218	12	,	,	PUNCT
alkej-350	218	13	and	and	CCONJ
alkej-350	218	14	f.	f.	PROPN
alkej-350	218	15	tong	tong	PROPN
alkej-350	218	16	,	,	PUNCT
alkej-350	218	17	member	member	NOUN
alkej-350	218	18	,	,	PUNCT
alkej-350	218	19	ieee	ieee	NOUN
alkej-350	218	20	“	"	PUNCT
alkej-350	218	21	non	non	ADJ
alkej-350	218	22	-	-	ADJ
alkej-350	218	23	uniform	uniform	ADJ
alkej-350	218	24	norm	norm	NOUN
alkej-350	218	25	constraint	constraint	NOUN
alkej-350	218	26	lms	lm	NOUN
alkej-350	218	27	algorithm	algorithm	NOUN
alkej-350	218	28	for	for	ADP
alkej-350	218	29	sparse	sparse	ADJ
alkej-350	218	30	system	system	NOUN
alkej-350	218	31	identification	identification	NOUN
alkej-350	218	32	”	"	PUNCT
alkej-350	218	33	ieee	ieee	NOUN
alkej-350	218	34	communication	communication	NOUN
alkej-350	218	35	letter	letter	NOUN
alkej-350	218	36	,	,	PUNCT
alkej-350	218	37	vol	vol	NOUN
alkej-350	218	38	.	.	PROPN
alkej-350	218	39	17	17	NUM
alkej-350	218	40	,	,	PUNCT
alkej-350	218	41	no	no	INTJ
alkej-350	218	42	.	.	NOUN
alkej-350	218	43	2	2	NUM
alkej-350	218	44	,	,	PUNCT
alkej-350	218	45	feb	feb	PROPN
alkej-350	218	46	.	.	PROPN
alkej-350	218	47	2013	2013	NUM
alkej-350	218	48	.	.	PUNCT
alkej-350	219	1	pdf	pdf	NOUN
alkej-350	219	2	created	create	VERB
alkej-350	219	3	with	with	ADP
alkej-350	219	4	pdffactory	pdffactory	ADJ
alkej-350	219	5	trial	trial	NOUN
alkej-350	219	6	version	version	NOUN
alkej-350	219	7	www.pdffactory.com	www.pdffactory.com	X
alkej-350	219	8	http://www.pdffactory.com	http://www.pdffactory.com	X
alkej-350	219	9	http://www.pdffactory.com	http://www.pdffactory.com	X
alkej-350	219	10	)	)	PUNCT
alkej-350	219	11	2017	2017	NUM
alkej-350	219	12	(	(	PUNCT
alkej-350	219	13	62	62	NUM
alkej-350	219	14	-	-	SYM
alkej-350	219	15	69	69	NUM
alkej-350	219	16	،	،	NOUN
alkej-350	219	17	صفحة	صفحة	PROPN
alkej-350	219	18	2	2	NUM
alkej-350	219	19	،	،	NOUN
alkej-350	219	20	العدد13دجلة	العدد13دجلة	PROPN
alkej-350	219	21	الخوارزمي	الخوارزمي	VERB
alkej-350	219	22	الھندسیة	الھندسیة	PROPN
alkej-350	219	23	المجلم	المجلم	PROPN
alkej-350	219	24	عبد	عبد	PROPN
alkej-350	219	25	الستارمحمود	الستارمحمود	PROPN
alkej-350	219	26	عبد	عبد	PROPN
alkej-350	219	27	القادر	القادر	PROPN
alkej-350	219	28	69	69	NUM
alkej-350	219	29	التكیفیة	التكیفیة	PROPN
alkej-350	219	30	المتناثرة	المتناثرة	ADJ
alkej-350	219	31	األنظمةالخوارزمیات	األنظمةالخوارزمیات	NOUN
alkej-350	219	32	التكیفیة	التكیفیة	PROPN
alkej-350	219	33	الھجینة	الھجینة	PROPN
alkej-350	219	34	المقترحة	المقترحة	PROPN
alkej-350	219	35	لتحدید	لتحدید	PROPN
alkej-350	219	36	ھویة	ھویة	PROPN
alkej-350	219	37	*	*	PUNCT
alkej-350	220	1	*	*	PUNCT
alkej-350	220	2	سامر	سامر	PROPN
alkej-350	220	3	حسین	حسین	ADJ
alkej-350	220	4	علي	علي	PROPN
alkej-350	220	5	*	*	SYM
alkej-350	220	6	محمود	محمود	PROPN
alkej-350	220	7	عبد	عبد	PROPN
alkej-350	220	8	القادر	القادر	NOUN
alkej-350	220	9	عبد	عبد	VERB
alkej-350	220	10	الستار	الستار	ADV
alkej-350	220	11	جامعة	جامعة	NOUN
alkej-350	220	12	بغداد/	بغداد/	NUM
alkej-350	220	13	كلیة	كلیة	NOUN
alkej-350	220	14	الھندسة	الھندسة	NOUN
alkej-350	220	15	/ئیةالكھربا	/ئیةالكھربا	PUNCT
alkej-350	220	16	الھندسة	الھندسة	PROPN
alkej-350	220	17	قسم	قسم	PROPN
alkej-350	220	18	mahmood.abdulsattar@googlemail.com	mahmood.abdulsattar@googlemail.com	PROPN
alkej-350	220	19	:	:	PUNCT
alkej-350	221	1	االلكتروني	االلكتروني	NOUN
alkej-350	221	2	البرید	البرید	NOUN
alkej-350	221	3	*	*	PUNCT
alkej-350	221	4	msc_eng_samerhussein@yahoo.com	msc_eng_samerhussein@yahoo.com	NOUN
alkej-350	221	5	:	:	PUNCT
alkej-350	221	6	االلكتروني	االلكتروني	NOUN
alkej-350	221	7	البرید	البرید	NOUN
alkej-350	221	8	*	*	PROPN
alkej-350	221	9	*	*	PROPN
alkej-350	221	10	الخالصة	الخالصة	PROPN
alkej-350	221	11	-ℓ	-ℓ	SYM
alkej-350	221	12	�	�	NOUN
alkej-350	221	13	-norm	-norm	NOUN
alkej-350	221	14	least	least	ADV
alkej-350	221	15	mean	mean	VERB
alkej-350	221	16	square	square	ADJ
alkej-350	221	17	(	(	PUNCT
alkej-350	221	18	ℓ	ℓ	NOUN
alkej-350	221	19	�	�	NOUN
alkej-350	221	20	-lms	-lm	NOUN
alkej-350	221	21	)	)	PUNCT
alkej-350	221	22	,	,	PUNCT
alkej-350	221	23	zero	zero	NUM
alkej-350	221	24	-	-	PUNCT
alkej-350	221	25	attracting	attract	VERB
alkej-350	221	26	lms	lm	NOUN
alkej-350	221	27	(	(	PUNCT
alkej-350	221	28	za	za	NOUN
alkej-350	221	29	-	-	NOUN
alkej-350	221	30	lms	lm	NOUN
alkej-350	221	31	)	)	PUNCT
alkej-350	221	32	,	,	PUNCT
alkej-350	221	33	reweighted	reweighte	VERB
alkej-350	221	34	zero	zero	NUM
alkej-350	221	35	-	-	PUNCT
alkej-350	221	36	attracting	attract	VERB
alkej-350	221	37	lms	lm	NOUN
alkej-350	221	38	(	(	PUNCT
alkej-350	221	39	rza	rza	PROPN
alkej-350	221	40	لتحدید	لتحدید	PROPN
alkej-350	221	41	النظام	النظام	PROPN
alkej-350	221	42	التكیفي	التكیفي	PROPN
alkej-350	221	43	المتناثر	المتناثر	PROPN
alkej-350	221	44	اقترحت	اقترحت	PROPN
alkej-350	222	1	سابقا	سابقا	PROPN
alkej-350	222	2	خوارزمیات	خوارزمیات	PROPN
alkej-350	222	3	وھي	وھي	PROPN
alkej-350	222	4	lms	lm	NOUN
alkej-350	222	5	)	)	PUNCT
alkej-350	222	6	,	,	PUNCT
alkej-350	222	7	and	and	CCONJ
alkej-350	222	8	p	p	X
alkej-350	222	9	-	-	PUNCT
alkej-350	222	10	norm	norm	NOUN
alkej-350	222	11	lms	lm	NOUN
alkej-350	222	12	(	(	PUNCT
alkej-350	222	13	p	p	NOUN
alkej-350	222	14	-	-	PUNCT
alkej-350	222	15	lms	lm	NOUN
alkej-350	222	16	)	)	PUNCT
alkej-350	222	17	.	.	PUNCT
alkej-350	223	1	ℓ	ℓ	X
alkej-350	223	2	�	�	PROPN
alkej-350	223	3	-za	-za	NOUN
alkej-350	223	4	-	-	PUNCT
alkej-350	223	5	lms	lm	NOUN
alkej-350	223	6	,	,	PUNCT
alkej-350	223	7	ℓ	ℓ	NOUN
alkej-350	223	8	�	�	PROPN
alkej-350	223	9	-rza	-rza	NOUN
alkej-350	223	10	-	-	PUNCT
alkej-350	223	11	lms	lm	NOUN
alkej-350	223	12	,	,	PUNCT
alkej-350	223	13	p	p	PROPN
alkej-350	223	14	-	-	PUNCT
alkej-350	223	15	za	za	NOUN
alkej-350	223	16	-	-	NOUN
alkej-350	223	17	lms	lm	NOUN
alkej-350	223	18	and	and	CCONJ
alkej-350	223	19	p	p	PROPN
alkej-350	223	20	-	-	PUNCT
alkej-350	223	21	rza	rza	NOUN
alkej-350	223	22	-	-	PUNCT
alkej-350	223	23	lms	lms	PROPN
alkej-350	223	24	الخوارزمیات	الخوارزمیات	PROPN
alkej-350	223	25	المقترحة	المقترحة	PROPN
alkej-350	223	26	حالیا	حالیا	PROPN
alkej-350	223	27	ھي	ھي	PUNCT
alkej-350	223	28	وأسماء	وأسماء	NOUN
alkej-350	223	29	.	.	PUNCT
alkej-350	224	1	lmsتقید	lmsتقید	PROPN
alkej-350	224	2	مناسب	مناسب	PROPN
alkej-350	224	3	لدالة	لدالة	VERB
alkej-350	224	4	كلفة	كلفة	PROPN
alkej-350	224	5	بإضافةوذلك	بإضافةوذلك	PROPN
alkej-350	224	6	lmsعن	lmsعن	PROPN
alkej-350	224	7	طریق	طریق	PROPN
alkej-350	224	8	تعدیل	تعدیل	PROPN
alkej-350	224	9	دالة	دالة	PROPN
alkej-350	224	10	الكلفة	الكلفة	PROPN
alkej-350	224	11	للـ	للـ	PROPN
alkej-350	225	1	وفي	وفي	PROPN
alkej-350	225	2	ھذا	ھذا	NOUN
alkej-350	225	3	البحث	البحث	PROPN
alkej-350	225	4	یوجد	یوجد	PROPN
alkej-350	225	5	تحلیل	تحلیل	ADJ
alkej-350	225	6	ریاضي	ریاضي	ADJ
alkej-350	225	7	متكامل	متكامل	NOUN
alkej-350	225	8	للخوارزمیات	للخوارزمیات	PROPN
alkej-350	225	9	.	.	PUNCT
alkej-350	226	1	للنظام	للنظام	PROPN
alkej-350	226	2	المتفرقب	المتفرقب	PROPN
alkej-350	226	3	ومعدل	ومعدل	ADV
alkej-350	226	4	التقار	التقار	ADV
alkej-350	226	5	msdلحسین	msdلحسین	VERB
alkej-350	226	6	lmsتقییدین	lmsتقییدین	PROPN
alkej-350	226	7	لدالة	لدالة	VERB
alkej-350	226	8	كلفة	كلفة	ADJ
alkej-350	226	9	بإضافةوصممت	بإضافةوصممت	PROPN
alkej-350	226	10	فیما	فیما	PROPN
alkej-350	226	11	یتعلق	یتعلق	ADJ
alkej-350	226	12	بالمعلومات	بالمعلومات	VERB
alkej-350	226	13	الخاصة	الخاصة	ADJ
alkej-350	226	14	لكل	لكل	PRON
alkej-350	226	15	خوارزمیة	خوارزمیة	PROPN
alkej-350	226	16	ونسبة	ونسبة	PROPN
alkej-350	226	17	التناثر	التناثر	PROPN
alkej-350	226	18	msdومناقشة	msdومناقشة	PROPN
alkej-350	226	19	نتائج	نتائج	PROPN
alkej-350	226	20	،	،	PROPN
alkej-350	226	21	الداخلة	الداخلة	PROPN
alkej-350	226	22	للنظام	للنظام	PROPN
alkej-350	226	23	اإلشارةتمثل	اإلشارةتمثل	PROPN
alkej-350	226	24	wgnالمقترحة	wgnالمقترحة	PROPN
alkej-350	226	25	عن	عن	ADP
alkej-350	226	26	طریق	طریق	NOUN
alkej-350	226	27	استعمال	استعمال	PROPN
alkej-350	226	28	بین	بین	PROPN
alkej-350	226	29	الخوارزمیات	الخوارزمیات	PROPN
alkej-350	226	30	المقترحة	المقترحة	PROPN
alkej-350	226	31	حالیا	حالیا	PROPN
alkej-350	226	32	والخوارزمیات	والخوارزمیات	PROPN
alkej-350	226	33	المقترحة	المقترحة	PROPN
alkej-350	226	34	سابقا	سابقا	PROPN
alkej-350	226	35	والشروط	والشروط	PROPN
alkej-350	226	36	الضروریة	الضروریة	PROPN
alkej-350	227	1	للخوارزمیات	للخوارزمیات	PROPN
alkej-350	227	2	المقترحة	المقترحة	PROPN
alkej-350	227	3	حالیا	حالیا	PROPN
alkej-350	227	4	والتي	والتي	PROPN
alkej-350	227	5	تبین	تبین	PROPN
alkej-350	227	6	العالقة	العالقة	PROPN
alkej-350	227	7	فضال	فضال	PROPN
alkej-350	227	8	عن	عن	PROPN
alkej-350	227	9	.	.	PUNCT
alkej-350	228	1	المبینة	المبینة	PROPN
alkej-350	228	2	.المحاكات	.المحاكات	PROPN
alkej-350	228	3	والنتائج	والنتائج	PROPN
alkej-350	228	4	النظریة	النظریة	PROPN
alkej-350	228	5	باالعتماد	باالعتماد	NOUN
alkej-350	228	6	على	على	PROPN
alkej-350	228	7	المعلومات	المعلومات	VERB
alkej-350	228	8	لكل	لكل	PRON
alkej-350	228	9	خوارزمیة	خوارزمیة	PROPN
alkej-350	228	10	أنظمةھناك	أنظمةھناك	PROPN
alkej-350	228	11	مقارنة	مقارنة	PROPN
alkej-350	228	12	بین	بین	PROPN
alkej-350	228	13	نتائج	نتائج	PROPN
alkej-350	228	14	،	،	PROPN
alkej-350	228	15	وأخیرا	وأخیرا	NOUN
alkej-350	228	16	.	.	PUNCT
alkej-350	229	1	تحسین	تحسین	VERB
alkej-350	229	2	معدل	معدل	PROPN
alkej-350	229	3	التقارب	التقارب	PROPN
alkej-350	229	4	للخوارزمیات	للخوارزمیات	PROPN
alkej-350	229	5	المقترحة	المقترحة	PROPN
alkej-350	229	6	pdf	pdf	PROPN
alkej-350	229	7	created	create	VERB
alkej-350	229	8	with	with	ADP
alkej-350	229	9	pdffactory	pdffactory	ADJ
alkej-350	229	10	trial	trial	NOUN
alkej-350	229	11	version	version	NOUN
alkej-350	229	12	www.pdffactory.com	www.pdffactory.com	X
alkej-350	229	13	mailto:mahmood.abdulsattar@googlemail.com	mailto:mahmood.abdulsattar@googlemail.com	X
alkej-350	229	14	mailto:msc_eng_samerhussein@yahoo.com	mailto:msc_eng_samerhussein@yahoo.com	X
alkej-350	229	15	http://www.pdffactory.com	http://www.pdffactory.com	X
alkej-350	229	16	http://www.pdffactory.com	http://www.pdffactory.com	X