id	sid	tid	token	lemma	pos
alkej-464	1	1	al	al	PROPN
alkej-464	1	2	-	-	PUNCT
alkej-464	1	3	khwarizmi	khwarizmi	PROPN
alkej-464	1	4	engineering	engineering	PROPN
alkej-464	1	5	journal	journal	PROPN
alkej-464	1	6	al	al	PROPN
alkej-464	1	7	-	-	PUNCT
alkej-464	1	8	khwarizmi	khwarizmi	PROPN
alkej-464	1	9	engineering	engineering	NOUN
alkej-464	1	10	journal	journal	PROPN
alkej-464	1	11	,	,	PUNCT
alkej-464	1	12	vol	vol	NOUN
alkej-464	1	13	.	.	PROPN
alkej-464	1	14	7	7	NUM
alkej-464	1	15	,	,	PUNCT
alkej-464	1	16	no	no	INTJ
alkej-464	1	17	.	.	NOUN
alkej-464	1	18	1	1	NUM
alkej-464	1	19	,	,	PUNCT
alkej-464	1	20	pp	pp	ADV
alkej-464	1	21	13	13	NUM
alkej-464	1	22	21	21	NUM
alkej-464	1	23	(	(	PUNCT
alkej-464	1	24	2011	2011	NUM
alkej-464	1	25	)	)	PUNCT
alkej-464	1	26	noise	noise	NOUN
alkej-464	1	27	removal	removal	NOUN
alkej-464	1	28	of	of	ADP
alkej-464	1	29	ecg	ecg	PROPN
alkej-464	1	30	signal	signal	NOUN
alkej-464	1	31	using	use	VERB
alkej-464	1	32	recursive	recursive	ADJ
alkej-464	1	33	least	least	ADJ
alkej-464	1	34	square	square	ADJ
alkej-464	1	35	algorithms	algorithm	NOUN
alkej-464	1	36	noor	noor	PROPN
alkej-464	1	37	k.	k.	PROPN
alkej-464	1	38	muhsin	muhsin	PROPN
alkej-464	1	39	department	department	PROPN
alkej-464	1	40	of	of	ADP
alkej-464	1	41	biomedical	biomedical	ADJ
alkej-464	1	42	engineering/	engineering/	NUM
alkej-464	1	43	al	al	PROPN
alkej-464	1	44	-	-	PUNCT
alkej-464	1	45	khwarizmi	khwarizmi	PROPN
alkej-464	1	46	college	college	PROPN
alkej-464	1	47	of	of	ADP
alkej-464	1	48	engineering/	engineering/	NUM
alkej-464	1	49	university	university	NOUN
alkej-464	1	50	of	of	ADP
alkej-464	1	51	baghdad	baghdad	PROPN
alkej-464	1	52	email	email	NOUN
alkej-464	1	53	:	:	PUNCT
alkej-464	1	54	noorbmemsc81@yahoo.com	noorbmemsc81@yahoo.com	X
alkej-464	1	55	(	(	PUNCT
alkej-464	1	56	received	receive	VERB
alkej-464	1	57	11	11	NUM
alkej-464	1	58	may	may	PROPN
alkej-464	1	59	2010	2010	NUM
alkej-464	1	60	;	;	PUNCT
alkej-464	1	61	accepted	accept	VERB
alkej-464	1	62	17	17	NUM
alkej-464	1	63	february	february	NOUN
alkej-464	1	64	2011	2011	NUM
alkej-464	1	65	)	)	PUNCT
alkej-464	1	66	abstract	abstract	ADV
alkej-464	1	67	this	this	DET
alkej-464	1	68	paper	paper	NOUN
alkej-464	1	69	shows	show	VERB
alkej-464	1	70	an	an	DET
alkej-464	1	71	approach	approach	NOUN
alkej-464	1	72	for	for	ADP
alkej-464	1	73	electromyography	electromyography	NOUN
alkej-464	1	74	(	(	PUNCT
alkej-464	1	75	ecg	ecg	PROPN
alkej-464	1	76	)	)	PUNCT
alkej-464	1	77	signal	signal	NOUN
alkej-464	1	78	processing	processing	NOUN
alkej-464	1	79	based	base	VERB
alkej-464	1	80	on	on	ADP
alkej-464	1	81	linear	linear	PROPN
alkej-464	1	82	and	and	CCONJ
alkej-464	1	83	nonlinear	nonlinear	ADJ
alkej-464	1	84	adaptive	adaptive	ADJ
alkej-464	1	85	filtering	filtering	NOUN
alkej-464	1	86	using	use	VERB
alkej-464	1	87	recursive	recursive	ADJ
alkej-464	1	88	least	least	ADJ
alkej-464	1	89	square	square	ADJ
alkej-464	1	90	(	(	PUNCT
alkej-464	1	91	rls	rls	PROPN
alkej-464	1	92	)	)	PUNCT
alkej-464	1	93	algorithm	algorithm	NOUN
alkej-464	1	94	to	to	PART
alkej-464	1	95	remove	remove	VERB
alkej-464	1	96	two	two	NUM
alkej-464	1	97	kinds	kind	NOUN
alkej-464	1	98	of	of	ADP
alkej-464	1	99	noise	noise	NOUN
alkej-464	1	100	that	that	PRON
alkej-464	1	101	affected	affect	VERB
alkej-464	1	102	the	the	DET
alkej-464	1	103	ecg	ecg	PROPN
alkej-464	1	104	signal	signal	NOUN
alkej-464	1	105	.	.	PUNCT
alkej-464	2	1	these	these	PRON
alkej-464	2	2	are	be	AUX
alkej-464	2	3	the	the	DET
alkej-464	2	4	high	high	ADJ
alkej-464	2	5	frequency	frequency	NOUN
alkej-464	2	6	noise	noise	NOUN
alkej-464	2	7	(	(	PUNCT
alkej-464	2	8	hfn	hfn	NOUN
alkej-464	2	9	)	)	PUNCT
alkej-464	2	10	and	and	CCONJ
alkej-464	2	11	low	low	ADJ
alkej-464	2	12	frequency	frequency	NOUN
alkej-464	2	13	noise	noise	NOUN
alkej-464	2	14	(	(	PUNCT
alkej-464	2	15	lfn	lfn	PROPN
alkej-464	2	16	)	)	PUNCT
alkej-464	2	17	.	.	PUNCT
alkej-464	3	1	simulation	simulation	NOUN
alkej-464	3	2	is	be	AUX
alkej-464	3	3	performed	perform	VERB
alkej-464	3	4	in	in	ADP
alkej-464	3	5	matlab	matlab	PROPN
alkej-464	3	6	.	.	PUNCT
alkej-464	4	1	the	the	DET
alkej-464	4	2	ecg	ecg	PROPN
alkej-464	4	3	,	,	PUNCT
alkej-464	4	4	hfn	hfn	NOUN
alkej-464	4	5	and	and	CCONJ
alkej-464	4	6	lfn	lfn	PROPN
alkej-464	4	7	signals	signal	NOUN
alkej-464	4	8	used	use	VERB
alkej-464	4	9	in	in	ADP
alkej-464	4	10	this	this	DET
alkej-464	4	11	study	study	NOUN
alkej-464	4	12	were	be	AUX
alkej-464	4	13	downloaded	download	VERB
alkej-464	4	14	from	from	ADP
alkej-464	4	15	ftp://ftp.ieee.org/uploads/press/rangayyan/	ftp://ftp.ieee.org/uploads/press/rangayyan/	NOUN
alkej-464	4	16	,	,	PUNCT
alkej-464	4	17	and	and	CCONJ
alkej-464	4	18	then	then	ADV
alkej-464	4	19	the	the	DET
alkej-464	4	20	filtering	filter	VERB
alkej-464	4	21	process	process	NOUN
alkej-464	4	22	was	be	AUX
alkej-464	4	23	obtained	obtain	VERB
alkej-464	4	24	by	by	ADP
alkej-464	4	25	using	use	VERB
alkej-464	4	26	adaptive	adaptive	ADJ
alkej-464	4	27	finite	finite	ADJ
alkej-464	4	28	impulse	impulse	ADJ
alkej-464	4	29	response	response	NOUN
alkej-464	4	30	(	(	PUNCT
alkej-464	4	31	fir	fir	NOUN
alkej-464	4	32	)	)	PUNCT
alkej-464	4	33	that	that	PRON
alkej-464	4	34	illustrated	illustrate	VERB
alkej-464	4	35	better	well	ADJ
alkej-464	4	36	results	result	NOUN
alkej-464	4	37	than	than	ADP
alkej-464	4	38	infinite	infinite	VERB
alkej-464	4	39	impulse	impulse	ADJ
alkej-464	4	40	response	response	NOUN
alkej-464	4	41	(	(	PUNCT
alkej-464	4	42	iir	iir	NOUN
alkej-464	4	43	)	)	PUNCT
alkej-464	4	44	filters	filter	NOUN
alkej-464	4	45	did	do	VERB
alkej-464	4	46	.	.	PUNCT
alkej-464	5	1	keywords	keyword	NOUN
alkej-464	5	2	:	:	PUNCT
alkej-464	5	3	adaptive	adaptive	ADJ
alkej-464	5	4	filters	filter	NOUN
alkej-464	5	5	,	,	PUNCT
alkej-464	5	6	rls	rls	PROPN
alkej-464	5	7	algorithms	algorithm	NOUN
alkej-464	5	8	,	,	PUNCT
alkej-464	5	9	noise	noise	NOUN
alkej-464	5	10	,	,	PUNCT
alkej-464	5	11	ecg	ecg	PROPN
alkej-464	5	12	signals	signal	NOUN
alkej-464	5	13	,	,	PUNCT
alkej-464	5	14	signal	signal	ADJ
alkej-464	5	15	processing	processing	NOUN
alkej-464	5	16	.	.	PUNCT
alkej-464	6	1	1	1	X
alkej-464	6	2	.	.	X
alkej-464	6	3	introduction	introduction	NOUN
alkej-464	6	4	adaptive	adaptive	ADJ
alkej-464	6	5	digital	digital	ADJ
alkej-464	6	6	filters	filter	NOUN
alkej-464	6	7	are	be	AUX
alkej-464	6	8	successfully	successfully	ADV
alkej-464	6	9	used	use	VERB
alkej-464	6	10	in	in	ADP
alkej-464	6	11	many	many	ADJ
alkej-464	6	12	practical	practical	ADJ
alkej-464	6	13	systems	system	NOUN
alkej-464	6	14	such	such	ADJ
alkej-464	6	15	as	as	ADP
alkej-464	6	16	echo	echo	NOUN
alkej-464	6	17	,	,	PUNCT
alkej-464	6	18	noise	noise	NOUN
alkej-464	6	19	canceling	canceling	NOUN
alkej-464	6	20	,	,	PUNCT
alkej-464	6	21	line	line	NOUN
alkej-464	6	22	enhancers	enhancer	NOUN
alkej-464	6	23	,	,	PUNCT
alkej-464	6	24	speech	speech	NOUN
alkej-464	6	25	coding	coding	NOUN
alkej-464	6	26	,	,	PUNCT
alkej-464	6	27	and	and	CCONJ
alkej-464	6	28	equalizers	equalizer	NOUN
alkej-464	6	29	etc	etc	X
alkej-464	6	30	.	.	X
alkej-464	7	1	it	it	PRON
alkej-464	7	2	operates	operate	VERB
alkej-464	7	3	by	by	ADP
alkej-464	7	4	adjusting	adjust	VERB
alkej-464	7	5	its	its	PRON
alkej-464	7	6	coefficients	coefficient	NOUN
alkej-464	7	7	in	in	ADP
alkej-464	7	8	response	response	NOUN
alkej-464	7	9	to	to	ADP
alkej-464	7	10	its	its	PRON
alkej-464	7	11	input	input	NOUN
alkej-464	7	12	so	so	SCONJ
alkej-464	7	13	as	as	SCONJ
alkej-464	7	14	to	to	PART
alkej-464	7	15	effectively	effectively	ADV
alkej-464	7	16	process	process	VERB
alkej-464	7	17	that	that	DET
alkej-464	7	18	input	input	NOUN
alkej-464	7	19	.	.	PUNCT
alkej-464	8	1	thus	thus	ADV
alkej-464	8	2	the	the	DET
alkej-464	8	3	filter	filter	NOUN
alkej-464	8	4	coefficients	coefficient	NOUN
alkej-464	8	5	are	be	AUX
alkej-464	8	6	a	a	DET
alkej-464	8	7	function	function	NOUN
alkej-464	8	8	of	of	ADP
alkej-464	8	9	the	the	DET
alkej-464	8	10	actual	actual	ADJ
alkej-464	8	11	data	datum	NOUN
alkej-464	8	12	they	they	PRON
alkej-464	8	13	process	process	VERB
alkej-464	8	14	.	.	PUNCT
alkej-464	9	1	rls	rls	PROPN
alkej-464	9	2	adaptive	adaptive	ADJ
alkej-464	9	3	algorithms	algorithm	NOUN
alkej-464	9	4	operate	operate	VERB
alkej-464	9	5	by	by	ADP
alkej-464	9	6	adjusting	adjust	VERB
alkej-464	9	7	the	the	DET
alkej-464	9	8	filter	filter	NOUN
alkej-464	9	9	coefficient	coefficient	NOUN
alkej-464	9	10	vector	vector	NOUN
alkej-464	9	11	so	so	SCONJ
alkej-464	9	12	as	as	SCONJ
alkej-464	9	13	to	to	PART
alkej-464	9	14	converge	converge	VERB
alkej-464	9	15	to	to	ADP
alkej-464	9	16	the	the	DET
alkej-464	9	17	optimum	optimum	ADJ
alkej-464	9	18	wiener	wiener	NOUN
alkej-464	9	19	coefficient	coefficient	NOUN
alkej-464	9	20	vector	vector	NOUN
alkej-464	9	21	.	.	PUNCT
alkej-464	10	1	this	this	PRON
alkej-464	10	2	is	be	AUX
alkej-464	10	3	one	one	NUM
alkej-464	10	4	of	of	ADP
alkej-464	10	5	the	the	DET
alkej-464	10	6	primary	primary	ADJ
alkej-464	10	7	advantages	advantage	NOUN
alkej-464	10	8	of	of	ADP
alkej-464	10	9	an	an	DET
alkej-464	10	10	adaptive	adaptive	ADJ
alkej-464	10	11	filter	filter	NOUN
alkej-464	10	12	.	.	PUNCT
alkej-464	11	1	another	another	DET
alkej-464	11	2	primary	primary	ADJ
alkej-464	11	3	advantage	advantage	NOUN
alkej-464	11	4	of	of	ADP
alkej-464	11	5	adaptive	adaptive	ADJ
alkej-464	11	6	filters	filter	NOUN
alkej-464	11	7	is	be	AUX
alkej-464	11	8	that	that	SCONJ
alkej-464	11	9	they	they	PRON
alkej-464	11	10	can	can	AUX
alkej-464	11	11	be	be	AUX
alkej-464	11	12	used	use	VERB
alkej-464	11	13	in	in	ADP
alkej-464	11	14	nonstationary	nonstationary	ADJ
alkej-464	11	15	environments	environment	NOUN
alkej-464	11	16	.	.	PUNCT
alkej-464	12	1	since	since	SCONJ
alkej-464	12	2	an	an	DET
alkej-464	12	3	adaptive	adaptive	ADJ
alkej-464	12	4	filter	filter	NOUN
alkej-464	12	5	is	be	AUX
alkej-464	12	6	continuously	continuously	ADV
alkej-464	12	7	self	self	NOUN
alkej-464	12	8	-	-	PUNCT
alkej-464	12	9	designing	designing	NOUN
alkej-464	12	10	,	,	PUNCT
alkej-464	12	11	it	it	PRON
alkej-464	12	12	can	can	AUX
alkej-464	12	13	adapt	adapt	VERB
alkej-464	12	14	to	to	ADP
alkej-464	12	15	statistical	statistical	ADJ
alkej-464	12	16	changes	change	NOUN
alkej-464	12	17	in	in	ADP
alkej-464	12	18	the	the	DET
alkej-464	12	19	data	datum	NOUN
alkej-464	12	20	.	.	PUNCT
alkej-464	13	1	[	[	X
alkej-464	13	2	1	1	X
alkej-464	13	3	]	]	X
alkej-464	13	4	kevin	kevin	PROPN
alkej-464	13	5	m.	m.	PROPN
alkej-464	13	6	buckley	buckley	PROPN
alkej-464	13	7	illustrated	illustrate	VERB
alkej-464	13	8	the	the	DET
alkej-464	13	9	application	application	NOUN
alkej-464	13	10	of	of	ADP
alkej-464	13	11	filtering	filter	VERB
alkej-464	13	12	to	to	ADP
alkej-464	13	13	biomedical	biomedical	ADJ
alkej-464	13	14	signals	signal	NOUN
alkej-464	13	15	such	such	ADJ
alkej-464	13	16	as	as	ADP
alkej-464	13	17	ecg	ecg	PROPN
alkej-464	13	18	,	,	PUNCT
alkej-464	13	19	in	in	ADP
alkej-464	13	20	fetal	fetal	ADJ
alkej-464	13	21	heart	heart	NOUN
alkej-464	13	22	monitor	monitor	NOUN
alkej-464	13	23	to	to	PART
alkej-464	13	24	remove	remove	VERB
alkej-464	13	25	power	power	NOUN
alkej-464	13	26	-	-	PUNCT
alkej-464	13	27	line	line	NOUN
alkej-464	13	28	(	(	PUNCT
alkej-464	13	29	50	50	NUM
alkej-464	13	30	or	or	CCONJ
alkej-464	13	31	60	60	NUM
alkej-464	13	32	hz	hz	NOUN
alkej-464	13	33	)	)	PUNCT
alkej-464	13	34	interference	interference	NOUN
alkej-464	13	35	noise	noise	NOUN
alkej-464	13	36	.	.	PUNCT
alkej-464	14	1	[	[	X
alkej-464	14	2	1	1	X
alkej-464	14	3	]	]	PUNCT
alkej-464	14	4	kiyoshi	kiyoshi	PROPN
alkej-464	14	5	nishikawa	nishikawa	PROPN
alkej-464	14	6	and	and	CCONJ
alkej-464	14	7	hitoshi	hitoshi	PROPN
alkej-464	14	8	kiya	kiya	PROPN
alkej-464	14	9	proposed	propose	VERB
alkej-464	14	10	a	a	DET
alkej-464	14	11	method	method	NOUN
alkej-464	14	12	for	for	ADP
alkej-464	14	13	increasing	increase	VERB
alkej-464	14	14	the	the	DET
alkej-464	14	15	throughput	throughput	NOUN
alkej-464	14	16	of	of	ADP
alkej-464	14	17	recursive	recursive	ADJ
alkej-464	14	18	least	least	ADJ
alkej-464	14	19	squares	square	NOUN
alkej-464	14	20	(	(	PUNCT
alkej-464	14	21	rls	rls	PROPN
alkej-464	14	22	)	)	PUNCT
alkej-464	14	23	adaptive	adaptive	ADJ
alkej-464	14	24	filters	filter	NOUN
alkej-464	14	25	when	when	SCONJ
alkej-464	14	26	only	only	ADV
alkej-464	14	27	a	a	DET
alkej-464	14	28	few	few	ADJ
alkej-464	14	29	processing	processing	NOUN
alkej-464	14	30	elements	element	NOUN
alkej-464	14	31	(	(	PUNCT
alkej-464	14	32	pes	pe	NOUN
alkej-464	14	33	)	)	PUNCT
alkej-464	14	34	are	be	AUX
alkej-464	14	35	available.[3	available.[3	VERB
alkej-464	14	36	]	]	X
alkej-464	14	37	this	this	DET
alkej-464	14	38	paper	paper	NOUN
alkej-464	14	39	shows	show	VERB
alkej-464	14	40	method	method	NOUN
alkej-464	14	41	to	to	PART
alkej-464	14	42	remove	remove	VERB
alkej-464	14	43	two	two	NUM
alkej-464	14	44	types	type	NOUN
alkej-464	14	45	of	of	ADP
alkej-464	14	46	noise	noise	NOUN
alkej-464	14	47	that	that	PRON
alkej-464	14	48	corrupted	corrupt	VERB
alkej-464	14	49	the	the	DET
alkej-464	14	50	ecg	ecg	PROPN
alkej-464	14	51	signal	signal	NOUN
alkej-464	14	52	,	,	PUNCT
alkej-464	14	53	which	which	PRON
alkej-464	14	54	are	be	AUX
alkej-464	14	55	the	the	DET
alkej-464	14	56	hfn	hfn	NOUN
alkej-464	14	57	and	and	CCONJ
alkej-464	14	58	lfn	lfn	PROPN
alkej-464	14	59	downloaded	download	VERB
alkej-464	14	60	as	as	ADP
alkej-464	14	61	hfn	hfn	NOUN
alkej-464	14	62	-	-	PUNCT
alkej-464	14	63	ecg	ecg	PROPN
alkej-464	14	64	and	and	CCONJ
alkej-464	14	65	lfn	lfn	PROPN
alkej-464	14	66	-	-	PUNCT
alkej-464	14	67	ecg	ecg	PROPN
alkej-464	14	68	from	from	ADP
alkej-464	14	69	internet	internet	NOUN
alkej-464	14	70	with	with	ADP
alkej-464	14	71	sampling	sample	VERB
alkej-464	14	72	frequency	frequency	NOUN
alkej-464	14	73	of	of	ADP
alkej-464	14	74	1000	1000	NUM
alkej-464	14	75	hz.[2	hz.[2	NOUN
alkej-464	14	76	]	]	PUNCT
alkej-464	15	1	the	the	DET
alkej-464	15	2	rls	rls	PROPN
alkej-464	15	3	algorithm	algorithm	NOUN
alkej-464	15	4	is	be	AUX
alkej-464	15	5	used	use	VERB
alkej-464	15	6	because	because	SCONJ
alkej-464	15	7	it	it	PRON
alkej-464	15	8	has	have	VERB
alkej-464	15	9	much	much	ADV
alkej-464	15	10	faster	fast	ADJ
alkej-464	15	11	convergence	convergence	NOUN
alkej-464	15	12	rate	rate	NOUN
alkej-464	15	13	than	than	ADP
alkej-464	15	14	the	the	DET
alkej-464	15	15	least	least	ADJ
alkej-464	15	16	mean	mean	ADJ
alkej-464	15	17	square	square	ADJ
alkej-464	15	18	(	(	PUNCT
alkej-464	15	19	lms	lm	NOUN
alkej-464	15	20	)	)	PUNCT
alkej-464	15	21	algorithm	algorithm	NOUN
alkej-464	15	22	.	.	PUNCT
alkej-464	16	1	2	2	X
alkej-464	16	2	.	.	X
alkej-464	16	3	adaptive	adaptive	ADJ
alkej-464	16	4	filter	filter	NOUN
alkej-464	16	5	for	for	ADP
alkej-464	16	6	noise	noise	NOUN
alkej-464	16	7	cancelling	cancel	VERB
alkej-464	16	8	adaptive	adaptive	ADJ
alkej-464	16	9	signal	signal	NOUN
alkej-464	16	10	processing	processing	NOUN
alkej-464	16	11	system	system	NOUN
alkej-464	16	12	has	have	AUX
alkej-464	16	13	been	be	AUX
alkej-464	16	14	used	use	VERB
alkej-464	16	15	in	in	ADP
alkej-464	16	16	several	several	ADJ
alkej-464	16	17	biomedical	biomedical	ADJ
alkej-464	16	18	applications	application	NOUN
alkej-464	16	19	.	.	PUNCT
alkej-464	17	1	the	the	DET
alkej-464	17	2	rls	rls	PROPN
alkej-464	17	3	learning	learn	VERB
alkej-464	17	4	algorithm	algorithm	NOUN
alkej-464	17	5	that	that	PRON
alkej-464	17	6	are	be	AUX
alkej-464	17	7	used	use	VERB
alkej-464	17	8	in	in	ADP
alkej-464	17	9	both	both	CCONJ
alkej-464	17	10	linear	linear	ADJ
alkej-464	17	11	and	and	CCONJ
alkej-464	17	12	nonlinear	nonlinear	ADJ
alkej-464	17	13	adaptive	adaptive	ADJ
alkej-464	17	14	filters	filter	NOUN
alkej-464	17	15	.	.	PUNCT
alkej-464	18	1	when	when	SCONJ
alkej-464	18	2	the	the	DET
alkej-464	18	3	input	input	NOUN
alkej-464	18	4	process	process	NOUN
alkej-464	18	5	of	of	ADP
alkej-464	18	6	an	an	DET
alkej-464	18	7	adaptive	adaptive	ADJ
alkej-464	18	8	system	system	NOUN
alkej-464	18	9	is	be	AUX
alkej-464	18	10	(	(	PUNCT
alkej-464	18	11	quasi-	quasi-	NOUN
alkej-464	18	12	)	)	PUNCT
alkej-464	18	13	stationary	stationary	NOUN
alkej-464	18	14	,	,	PUNCT
alkej-464	18	15	the	the	DET
alkej-464	18	16	best	well	ADV
alkej-464	18	17	steady	steady	ADJ
alkej-464	18	18	state	state	NOUN
alkej-464	18	19	performance	performance	NOUN
alkej-464	18	20	results	result	NOUN
alkej-464	18	21	from	from	ADP
alkej-464	18	22	slow	slow	ADJ
alkej-464	18	23	adaptation	adaptation	NOUN
alkej-464	18	24	.	.	PUNCT
alkej-464	19	1	however	however	ADV
alkej-464	19	2	,	,	PUNCT
alkej-464	19	3	when	when	SCONJ
alkej-464	19	4	the	the	DET
alkej-464	19	5	input	input	NOUN
alkej-464	19	6	statistics	statistic	NOUN
alkej-464	19	7	are	be	AUX
alkej-464	19	8	time	time	NOUN
alkej-464	19	9	-	-	PUNCT
alkej-464	19	10	variant	variant	NOUN
alkej-464	19	11	(	(	PUNCT
alkej-464	19	12	nonstationary	nonstationary	ADJ
alkej-464	19	13	)	)	PUNCT
alkej-464	19	14	,	,	PUNCT
alkej-464	19	15	the	the	DET
alkej-464	19	16	best	good	ADJ
alkej-464	19	17	performance	performance	NOUN
alkej-464	19	18	is	be	AUX
alkej-464	19	19	obtained	obtain	VERB
alkej-464	19	20	by	by	ADP
alkej-464	19	21	a	a	DET
alkej-464	19	22	compromise	compromise	NOUN
alkej-464	19	23	between	between	ADP
alkej-464	19	24	fast	fast	ADJ
alkej-464	19	25	adaptation	adaptation	NOUN
alkej-464	19	26	(	(	PUNCT
alkej-464	19	27	necessary	necessary	ADJ
alkej-464	19	28	to	to	PART
alkej-464	19	29	track	track	VERB
alkej-464	19	30	variations	variation	NOUN
alkej-464	19	31	in	in	ADP
alkej-464	19	32	the	the	DET
alkej-464	19	33	input	input	NOUN
alkej-464	19	34	process	process	NOUN
alkej-464	19	35	)	)	PUNCT
alkej-464	19	36	and	and	CCONJ
alkej-464	19	37	slow	slow	ADJ
alkej-464	19	38	adaptation	adaptation	NOUN
alkej-464	19	39	(	(	PUNCT
alkej-464	19	40	necessary	necessary	ADJ
alkej-464	19	41	to	to	PART
alkej-464	19	42	limit	limit	VERB
alkej-464	19	43	the	the	DET
alkej-464	19	44	noise	noise	NOUN
alkej-464	19	45	in	in	ADP
alkej-464	19	46	the	the	DET
alkej-464	19	47	adaptive	adaptive	ADJ
alkej-464	19	48	process	process	NOUN
alkej-464	19	49	)	)	PUNCT
alkej-464	19	50	.	.	PUNCT
alkej-464	20	1	the	the	DET
alkej-464	20	2	lms	lm	NOUN
alkej-464	20	3	adaptation	adaptation	NOUN
alkej-464	20	4	algorithm	algorithm	NOUN
alkej-464	20	5	is	be	AUX
alkej-464	20	6	a	a	DET
alkej-464	20	7	simple	simple	ADJ
alkej-464	20	8	and	and	CCONJ
alkej-464	20	9	efficient	efficient	ADJ
alkej-464	20	10	this	this	DET
alkej-464	20	11	page	page	NOUN
alkej-464	20	12	was	be	AUX
alkej-464	20	13	created	create	VERB
alkej-464	20	14	using	use	VERB
alkej-464	20	15	nitro	nitro	NOUN
alkej-464	20	16	pdf	pdf	NOUN
alkej-464	20	17	trial	trial	NOUN
alkej-464	20	18	software	software	NOUN
alkej-464	20	19	.	.	PUNCT
alkej-464	21	1	to	to	PART
alkej-464	21	2	purchase	purchase	VERB
alkej-464	21	3	,	,	PUNCT
alkej-464	21	4	go	go	VERB
alkej-464	21	5	to	to	ADP
alkej-464	21	6	http://www.nitropdf.com/	http://www.nitropdf.com/	NOUN
alkej-464	21	7	http://www.nitropdf.com/	http://www.nitropdf.com/	NOUN
alkej-464	21	8	noor	noor	PROPN
alkej-464	21	9	k.	k.	PROPN
alkej-464	21	10	muhsin	muhsin	PROPN
alkej-464	21	11	al	al	PROPN
alkej-464	21	12	-	-	PUNCT
alkej-464	21	13	khwarizmi	khwarizmi	PROPN
alkej-464	21	14	engineering	engineering	NOUN
alkej-464	21	15	journal	journal	PROPN
alkej-464	21	16	,	,	PUNCT
alkej-464	21	17	vol	vol	NOUN
alkej-464	21	18	.	.	PROPN
alkej-464	22	1	7	7	NUM
alkej-464	22	2	,	,	PUNCT
alkej-464	22	3	no	no	INTJ
alkej-464	22	4	.	.	NOUN
alkej-464	22	5	1	1	NUM
alkej-464	22	6	,	,	PUNCT
alkej-464	22	7	pp	pp	ADV
alkej-464	22	8	13	13	NUM
alkej-464	22	9	21	21	NUM
alkej-464	22	10	(	(	PUNCT
alkej-464	22	11	2011	2011	NUM
alkej-464	22	12	)	)	PUNCT
alkej-464	22	13	approach	approach	NOUN
alkej-464	22	14	for	for	ADP
alkej-464	22	15	adaptive	adaptive	ADJ
alkej-464	22	16	noise	noise	NOUN
alkej-464	22	17	canceling	cancel	VERB
alkej-464	22	18	(	(	PUNCT
alkej-464	22	19	anc	anc	PROPN
alkej-464	22	20	)	)	PUNCT
alkej-464	23	1	;	;	PUNCT
alkej-464	23	2	however	however	ADV
alkej-464	23	3	,	,	PUNCT
alkej-464	23	4	it	it	PRON
alkej-464	23	5	is	be	AUX
alkej-464	23	6	not	not	PART
alkej-464	23	7	appropriate	appropriate	ADJ
alkej-464	23	8	for	for	ADP
alkej-464	23	9	fast	fast	ADV
alkej-464	23	10	-	-	PUNCT
alkej-464	23	11	varying	vary	VERB
alkej-464	23	12	signals	signal	NOUN
alkej-464	23	13	due	due	ADP
alkej-464	23	14	to	to	ADP
alkej-464	23	15	its	its	PRON
alkej-464	23	16	slow	slow	ADJ
alkej-464	23	17	convergence	convergence	NOUN
alkej-464	23	18	,	,	PUNCT
alkej-464	23	19	and	and	CCONJ
alkej-464	23	20	due	due	ADP
alkej-464	23	21	to	to	ADP
alkej-464	23	22	the	the	DET
alkej-464	23	23	difficulty	difficulty	NOUN
alkej-464	23	24	in	in	ADP
alkej-464	23	25	selecting	select	VERB
alkej-464	23	26	the	the	DET
alkej-464	23	27	correct	correct	ADJ
alkej-464	23	28	value	value	NOUN
alkej-464	23	29	for	for	ADP
alkej-464	23	30	the	the	DET
alkej-464	23	31	step	step	NOUN
alkej-464	23	32	size	size	NOUN
alkej-464	23	33	µ.	µ.	NOUN
alkej-464	23	34	an	an	DET
alkej-464	23	35	alternative	alternative	ADJ
alkej-464	23	36	approach	approach	NOUN
alkej-464	23	37	based	base	VERB
alkej-464	23	38	on	on	ADP
alkej-464	23	39	the	the	DET
alkej-464	23	40	exact	exact	ADJ
alkej-464	23	41	minimization	minimization	NOUN
alkej-464	23	42	of	of	ADP
alkej-464	23	43	the	the	DET
alkej-464	23	44	least	least	ADJ
alkej-464	23	45	-	-	PUNCT
alkej-464	23	46	squares	square	NOUN
alkej-464	23	47	criterion	criterion	NOUN
alkej-464	23	48	is	be	AUX
alkej-464	23	49	the	the	DET
alkej-464	23	50	rls	rls	PROPN
alkej-464	23	51	method	method	NOUN
alkej-464	23	52	.the	.the	PUNCT
alkej-464	23	53	rls	rls	PROPN
alkej-464	23	54	algorithm	algorithm	NOUN
alkej-464	23	55	has	have	AUX
alkej-464	23	56	been	be	AUX
alkej-464	23	57	widely	widely	ADV
alkej-464	23	58	used	use	VERB
alkej-464	23	59	in	in	ADP
alkej-464	23	60	real	real	ADJ
alkej-464	23	61	-	-	PUNCT
alkej-464	23	62	time	time	NOUN
alkej-464	23	63	system	system	NOUN
alkej-464	23	64	identification	identification	NOUN
alkej-464	23	65	and	and	CCONJ
alkej-464	23	66	noise	noise	NOUN
alkej-464	23	67	cancellation	cancellation	NOUN
alkej-464	23	68	because	because	SCONJ
alkej-464	23	69	of	of	ADP
alkej-464	23	70	its	its	PRON
alkej-464	23	71	fast	fast	ADJ
alkej-464	23	72	convergence	convergence	NOUN
alkej-464	23	73	,	,	PUNCT
alkej-464	23	74	which	which	PRON
alkej-464	23	75	is	be	AUX
alkej-464	23	76	about	about	ADP
alkej-464	23	77	an	an	DET
alkej-464	23	78	order	order	NOUN
alkej-464	23	79	of	of	ADP
alkej-464	23	80	magnitude	magnitude	NOUN
alkej-464	23	81	higher	high	ADJ
alkej-464	23	82	than	than	ADP
alkej-464	23	83	that	that	PRON
alkej-464	23	84	of	of	ADP
alkej-464	23	85	the	the	DET
alkej-464	23	86	lms	lm	NOUN
alkej-464	23	87	method	method	NOUN
alkej-464	23	88	.	.	PUNCT
alkej-464	24	1	an	an	DET
alkej-464	24	2	important	important	ADJ
alkej-464	24	3	feature	feature	NOUN
alkej-464	24	4	of	of	ADP
alkej-464	24	5	the	the	DET
alkej-464	24	6	rls	rls	PROPN
alkej-464	24	7	algorithm	algorithm	NOUN
alkej-464	24	8	is	be	AUX
alkej-464	24	9	that	that	SCONJ
alkej-464	24	10	it	it	PRON
alkej-464	24	11	utilizes	utilize	VERB
alkej-464	24	12	information	information	NOUN
alkej-464	24	13	contained	contain	VERB
alkej-464	24	14	in	in	ADP
alkej-464	24	15	the	the	DET
alkej-464	24	16	input	input	NOUN
alkej-464	24	17	data	datum	NOUN
alkej-464	24	18	,	,	PUNCT
alkej-464	24	19	and	and	CCONJ
alkej-464	24	20	extends	extend	VERB
alkej-464	24	21	it	it	PRON
alkej-464	24	22	back	back	ADV
alkej-464	24	23	to	to	ADP
alkej-464	24	24	the	the	DET
alkej-464	24	25	instant	instant	NOUN
alkej-464	24	26	of	of	ADP
alkej-464	24	27	time	time	NOUN
alkej-464	24	28	when	when	SCONJ
alkej-464	24	29	the	the	DET
alkej-464	24	30	algorithm	algorithm	NOUN
alkej-464	24	31	was	be	AUX
alkej-464	24	32	initiated	initiate	VERB
alkej-464	24	33	.	.	PUNCT
alkej-464	25	1	given	give	VERB
alkej-464	25	2	the	the	DET
alkej-464	25	3	leastsquares	leastsquare	NOUN
alkej-464	25	4	estimate	estimate	NOUN
alkej-464	25	5	of	of	ADP
alkej-464	25	6	the	the	DET
alkej-464	25	7	tap	tap	NOUN
alkej-464	25	8	-	-	PUNCT
alkej-464	25	9	weight	weight	NOUN
alkej-464	25	10	vector	vector	NOUN
alkej-464	25	11	of	of	ADP
alkej-464	25	12	the	the	DET
alkej-464	25	13	filter	filter	NOUN
alkej-464	25	14	at	at	ADP
alkej-464	25	15	time	time	NOUN
alkej-464	25	16	n	n	PRON
alkej-464	25	17	1	1	NUM
alkej-464	25	18	,	,	PUNCT
alkej-464	25	19	the	the	DET
alkej-464	25	20	updated	update	VERB
alkej-464	25	21	estimate	estimate	NOUN
alkej-464	25	22	of	of	ADP
alkej-464	25	23	the	the	DET
alkej-464	25	24	vector	vector	NOUN
alkej-464	25	25	at	at	ADP
alkej-464	25	26	time	time	NOUN
alkej-464	25	27	n	n	PART
alkej-464	25	28	is	be	AUX
alkej-464	25	29	computed	compute	VERB
alkej-464	25	30	upon	upon	SCONJ
alkej-464	25	31	the	the	DET
alkej-464	25	32	arrival	arrival	NOUN
alkej-464	25	33	of	of	ADP
alkej-464	25	34	new	new	ADJ
alkej-464	25	35	data.[4	data.[4	NOUN
alkej-464	25	36	]	]	PUNCT
alkej-464	25	37	.	.	PUNCT
alkej-464	26	1	fig	fig	NOUN
alkej-464	26	2	.	.	PUNCT
alkej-464	27	1	1	1	X
alkej-464	27	2	.	.	X
alkej-464	27	3	general	general	ADJ
alkej-464	27	4	structure	structure	NOUN
alkej-464	27	5	of	of	ADP
alkej-464	27	6	the	the	DET
alkej-464	27	7	adaptive	adaptive	ADJ
alkej-464	27	8	rls	rl	NOUN
alkej-464	27	9	filter[2	filter[2	NOUN
alkej-464	27	10	]	]	PUNCT
alkej-464	27	11	in	in	ADP
alkej-464	27	12	the	the	DET
alkej-464	27	13	derivation	derivation	NOUN
alkej-464	27	14	of	of	ADP
alkej-464	27	15	the	the	DET
alkej-464	27	16	rls	rls	PROPN
alkej-464	27	17	algorithm	algorithm	NOUN
alkej-464	27	18	,	,	PUNCT
alkej-464	27	19	the	the	DET
alkej-464	27	20	instantaneous	instantaneous	ADJ
alkej-464	27	21	error	error	NOUN
alkej-464	27	22	e	e	NOUN
alkej-464	27	23	[	[	X
alkej-464	27	24	n	n	CCONJ
alkej-464	27	25	]	]	X
alkej-464	27	26	can	can	AUX
alkej-464	27	27	be	be	AUX
alkej-464	27	28	calculated	calculate	VERB
alkej-464	27	29	from	from	ADP
alkej-464	27	30	the	the	DET
alkej-464	27	31	following	follow	VERB
alkej-464	27	32	equation	equation	NOUN
alkej-464	27	33	:	:	PUNCT
alkej-464	27	34	e[n	e[n	NOUN
alkej-464	27	35	]	]	PUNCT
alkej-464	27	36	=	=	SYM
alkej-464	27	37	x[n	x[n	PROPN
alkej-464	27	38	]	]	X
alkej-464	27	39	h′[n	h′[n	PROPN
alkej-464	27	40	]	]	PUNCT
alkej-464	27	41	y[n	y[n	NOUN
alkej-464	27	42	]	]	PUNCT
alkej-464	27	43	=	=	SYM
alkej-464	27	44	x[n	x[n	PROPN
alkej-464	27	45	]	]	X
alkej-464	27	46	y′[n	y′[n	PROPN
alkej-464	27	47	]	]	X
alkej-464	27	48	h[n	h[n	PROPN
alkej-464	27	49	]	]	X
alkej-464	27	50	…	…	PUNCT
alkej-464	27	51	(	(	PUNCT
alkej-464	27	52	1	1	NUM
alkej-464	27	53	)	)	PUNCT
alkej-464	27	54	where	where	SCONJ
alkej-464	27	55	y[n	y[n	NOUN
alkej-464	27	56	]	]	PUNCT
alkej-464	27	57	is	be	AUX
alkej-464	27	58	the	the	DET
alkej-464	27	59	output	output	NOUN
alkej-464	27	60	of	of	ADP
alkej-464	27	61	the	the	DET
alkej-464	27	62	filter	filter	NOUN
alkej-464	27	63	,	,	PUNCT
alkej-464	27	64	y′[n	y′[n	PROPN
alkej-464	27	65	]	]	PUNCT
alkej-464	27	66	is	be	AUX
alkej-464	27	67	the	the	DET
alkej-464	27	68	output	output	NOUN
alkej-464	27	69	of	of	ADP
alkej-464	27	70	the	the	DET
alkej-464	27	71	filter	filter	NOUN
alkej-464	27	72	vector	vector	NOUN
alkej-464	27	73	,	,	PUNCT
alkej-464	27	74	and	and	CCONJ
alkej-464	27	75	h[n	h[n	PRON
alkej-464	27	76	]	]	PUNCT
alkej-464	27	77	is	be	AUX
alkej-464	27	78	the	the	DET
alkej-464	27	79	filter	filter	NOUN
alkej-464	27	80	parameter	parameter	NOUN
alkej-464	27	81	,	,	PUNCT
alkej-464	27	82	h′[n	h′[n	PROPN
alkej-464	27	83	]	]	PUNCT
alkej-464	27	84	is	be	AUX
alkej-464	27	85	the	the	DET
alkej-464	27	86	filter	filter	NOUN
alkej-464	27	87	parameter	parameter	NOUN
alkej-464	27	88	vector	vector	NOUN
alkej-464	27	89	.	.	PUNCT
alkej-464	28	1	the	the	DET
alkej-464	28	2	rls	rls	PROPN
alkej-464	28	3	algorithm	algorithm	NOUN
alkej-464	28	4	considers	consider	VERB
alkej-464	28	5	all	all	DET
alkej-464	28	6	the	the	DET
alkej-464	28	7	available	available	ADJ
alkej-464	28	8	data	datum	NOUN
alkej-464	28	9	for	for	ADP
alkej-464	28	10	determining	determine	VERB
alkej-464	28	11	the	the	DET
alkej-464	28	12	filter	filter	NOUN
alkej-464	28	13	parameters	parameter	NOUN
alkej-464	28	14	.	.	PUNCT
alkej-464	29	1	the	the	DET
alkej-464	29	2	filter	filter	NOUN
alkej-464	29	3	should	should	AUX
alkej-464	29	4	be	be	AUX
alkej-464	29	5	optimum	optimum	ADJ
alkej-464	29	6	with	with	ADP
alkej-464	29	7	respect	respect	NOUN
alkej-464	29	8	to	to	ADP
alkej-464	29	9	all	all	DET
alkej-464	29	10	the	the	DET
alkej-464	29	11	available	available	ADJ
alkej-464	29	12	data	datum	NOUN
alkej-464	29	13	in	in	ADP
alkej-464	29	14	certain	certain	ADJ
alkej-464	29	15	sense	sense	NOUN
alkej-464	29	16	.	.	PUNCT
alkej-464	30	1	minimizes	minimize	VERB
alkej-464	30	2	the	the	DET
alkej-464	30	3	cost	cost	NOUN
alkej-464	30	4	function	function	NOUN
alkej-464	30	5	]	]	X
alkej-464	31	1	[	[	X
alkej-464	31	2	]	]	X
alkej-464	31	3	[	[	PUNCT
alkej-464	31	4	2	2	NUM
alkej-464	31	5	0	0	NUM
alkej-464	31	6	ken	ken	PROPN
alkej-464	31	7	n	n	PROPN
alkej-464	31	8	k	k	PROPN
alkej-464	31	9	kn	kn	PROPN
alkej-464	31	10			PROPN
alkej-464	31	11			PROPN
alkej-464	31	12			NUM
alkej-464	31	13	…	…	PUNCT
alkej-464	31	14	(	(	PUNCT
alkej-464	31	15	2	2	NUM
alkej-464	31	16	)	)	PUNCT
alkej-464	31	17	with	with	ADP
alkej-464	31	18	respect	respect	NOUN
alkej-464	31	19	to	to	ADP
alkej-464	31	20	the	the	DET
alkej-464	31	21	filter	filter	NOUN
alkej-464	31	22	parameter	parameter	NOUN
alkej-464	31	23	vector	vector	NOUN
alkej-464	31	24			PROPN
alkej-464	31	25			PROPN
alkej-464	32	1			PROPN
alkej-464	32	2			PROPN
alkej-464	32	3			X
alkej-464	32	4			NOUN
alkej-464	32	5			NOUN
alkej-464	32	6			NOUN
alkej-464	32	7			VERB
alkej-464	32	8			PROPN
alkej-464	32	9			PROPN
alkej-464	32	10			NOUN
alkej-464	32	11	]	]	PUNCT
alkej-464	32	12	[	[	PUNCT
alkej-464	32	13	]	]	X
alkej-464	32	14	[	[	PUNCT
alkej-464	32	15	]	]	X
alkej-464	32	16	[	[	PUNCT
alkej-464	32	17	]	]	X
alkej-464	32	18	[	[	PUNCT
alkej-464	32	19	1	1	NUM
alkej-464	32	20	1	1	NUM
alkej-464	32	21	0	0	NUM
alkej-464	32	22	nh	nh	PROPN
alkej-464	32	23	nh	nh	PROPN
alkej-464	32	24	nh	nh	PROPN
alkej-464	32	25	nh	nh	PROPN
alkej-464	32	26	m	m	PROPN
alkej-464	32	27	…	…	PUNCT
alkej-464	32	28	(	(	PUNCT
alkej-464	32	29	3	3	NUM
alkej-464	32	30	)	)	PUNCT
alkej-464	32	31	where	where	SCONJ
alkej-464	32	32	λ	λ	PROPN
alkej-464	32	33	is	be	AUX
alkej-464	32	34	the	the	DET
alkej-464	32	35	weighing	weigh	VERB
alkej-464	32	36	factor	factor	NOUN
alkej-464	32	37	known	know	VERB
alkej-464	32	38	as	as	ADP
alkej-464	32	39	the	the	DET
alkej-464	32	40	forgetting	forget	VERB
alkej-464	32	41	factor	factor	NOUN
alkej-464	32	42	,	,	PUNCT
alkej-464	32	43	recent	recent	ADJ
alkej-464	32	44	data	datum	NOUN
alkej-464	32	45	is	be	AUX
alkej-464	32	46	given	give	VERB
alkej-464	32	47	more	more	ADJ
alkej-464	32	48	weightage	weightage	NOUN
alkej-464	32	49	,	,	PUNCT
alkej-464	32	50	for	for	ADP
alkej-464	32	51	stationary	stationary	ADJ
alkej-464	32	52	case	case	NOUN
alkej-464	32	53	λ	λ	NOUN
alkej-464	32	54	=	=	SYM
alkej-464	32	55	1	1	NUM
alkej-464	32	56	can	can	AUX
alkej-464	32	57	be	be	AUX
alkej-464	32	58	taken	take	VERB
alkej-464	32	59	,	,	PUNCT
alkej-464	32	60	λ=0.99	λ=0.99	NOUN
alkej-464	32	61	is	be	AUX
alkej-464	32	62	effective	effective	ADJ
alkej-464	32	63	in	in	ADP
alkej-464	32	64	tracking	track	VERB
alkej-464	32	65	local	local	ADJ
alkej-464	32	66	nonstationarity	nonstationarity	NOUN
alkej-464	32	67	,	,	PUNCT
alkej-464	32	68	the	the	DET
alkej-464	32	69	minimization	minimization	NOUN
alkej-464	32	70	problem	problem	NOUN
alkej-464	32	71	is	be	AUX
alkej-464	32	72	minimize	minimize	VERB
alkej-464	32	73	2	2	NUM
alkej-464	32	74	'	'	NUM
alkej-464	32	75	0	0	NUM
alkej-464	32	76	]	]	PUNCT
alkej-464	32	77	)	)	PUNCT
alkej-464	33	1	[	[	X
alkej-464	33	2	]	]	X
alkej-464	33	3	[	[	X
alkej-464	33	4	]	]	X
alkej-464	33	5	[	[	X
alkej-464	33	6	(	(	PUNCT
alkej-464	33	7	]	]	X
alkej-464	33	8	[	[	PUNCT
alkej-464	33	9	nhkykxn	nhkykxn	ADV
alkej-464	33	10	n	n	ADP
alkej-464	33	11	k	k	PROPN
alkej-464	33	12	kn	kn	PROPN
alkej-464	33	13			PROPN
alkej-464	33	14			X
alkej-464	33	15			PROPN
alkej-464	33	16			VERB
alkej-464	33	17	with	with	ADP
alkej-464	33	18	respect	respect	NOUN
alkej-464	33	19	to	to	ADP
alkej-464	33	20	h[n	h[n	PRON
alkej-464	33	21	]	]	PUNCT
alkej-464	33	22	the	the	DET
alkej-464	33	23	minimum	minimum	NOUN
alkej-464	33	24	is	be	AUX
alkej-464	33	25	given	give	VERB
alkej-464	33	26	by	by	ADP
alkej-464	33	27	0	0	NUM
alkej-464	33	28	)	)	PUNCT
alkej-464	33	29	(	(	PUNCT
alkej-464	33	30	)	)	PUNCT
alkej-464	33	31	(	(	PUNCT
alkej-464	33	32			NUM
alkej-464	33	33			PROPN
alkej-464	33	34			PROPN
alkej-464	33	35	nh	nh	PROPN
alkej-464	33	36	n	n	PROPN
alkej-464	33	37	0])[][][][][(2	0])[][][][][(2	NOUN
alkej-464	33	38	'	'	PART
alkej-464	33	39	0	0	NUM
alkej-464	33	40			PROPN
alkej-464	33	41			PROPN
alkej-464	33	42			PROPN
alkej-464	33	43	nhkykykykx	nhkykykykx	PROPN
alkej-464	33	44	n	n	PROPN
alkej-464	33	45	k	k	PROPN
alkej-464	33	46	kn	kn	X
alkej-464	33	47	…	…	PUNCT
alkej-464	33	48	(	(	PUNCT
alkej-464	33	49	4	4	NUM
alkej-464	33	50	)	)	PUNCT
alkej-464	33	51	]	]	PUNCT
alkej-464	34	1	[	[	X
alkej-464	34	2	]	]	X
alkej-464	34	3	[	[	X
alkej-464	34	4	]	]	X
alkej-464	34	5	[	[	X
alkej-464	34	6	]	]	X
alkej-464	34	7	[	[	X
alkej-464	34	8	]	]	X
alkej-464	34	9	[	[	PUNCT
alkej-464	34	10	0	0	NUM
alkej-464	34	11	1	1	NUM
alkej-464	34	12	'	'	PART
alkej-464	34	13	0	0	NUM
alkej-464	34	14	kykxkykynh	kykxkykynh	PROPN
alkej-464	34	15	n	n	PROPN
alkej-464	34	16	k	k	PROPN
alkej-464	34	17	kn	kn	PROPN
alkej-464	35	1	n	n	PROPN
alkej-464	35	2	k	k	PROPN
alkej-464	35	3	kn	kn	PROPN
alkej-464	35	4			PRON
alkej-464	35	5			PROPN
alkej-464	35	6			PROPN
alkej-464	35	7			PROPN
alkej-464	35	8			PROPN
alkej-464	35	9			PROPN
alkej-464	35	10			CCONJ
alkej-464	35	11			NOUN
alkej-464	35	12			PRON
alkej-464	35	13			PROPN
alkej-464	35	14			PROPN
alkej-464	35	15			NOUN
alkej-464	35	16			PROPN
alkej-464	35	17			NOUN
alkej-464	35	18	…	…	PUNCT
alkej-464	35	19	(	(	PUNCT
alkej-464	35	20	5	5	NUM
alkej-464	35	21	)	)	PUNCT
alkej-464	35	22	let	let	VERB
alkej-464	35	23	us	we	PRON
alkej-464	35	24	define	define	VERB
alkej-464	35	25	]	]	PUNCT
alkej-464	35	26	[	[	X
alkej-464	35	27	]	]	X
alkej-464	35	28	[	[	X
alkej-464	35	29	]	]	X
alkej-464	35	30	[	[	PUNCT
alkej-464	35	31	'	'	PUNCT
alkej-464	35	32	0	0	NUM
alkej-464	35	33	kykynr	kykynr	NOUN
alkej-464	35	34	n	n	PROPN
alkej-464	36	1	k	k	PROPN
alkej-464	36	2	kn	kn	PROPN
alkej-464	36	3	yy	yy	PROPN
alkej-464	36	4			PROPN
alkej-464	37	1			NUM
alkej-464	37	2			ADJ
alkej-464	37	3			ADJ
alkej-464	37	4			PROPN
alkej-464	37	5	…	…	PUNCT
alkej-464	37	6	(	(	PUNCT
alkej-464	37	7	6	6	NUM
alkej-464	37	8	)	)	PUNCT
alkej-464	37	9	which	which	PRON
alkej-464	37	10	is	be	AUX
alkej-464	37	11	an	an	DET
alkej-464	37	12	estimator	estimator	NOUN
alkej-464	37	13	for	for	ADP
alkej-464	37	14	the	the	DET
alkej-464	37	15	autocorrelation	autocorrelation	NOUN
alkej-464	37	16	matrix	matrix	NOUN
alkej-464	37	17	ryy	ryy	PROPN
alkej-464	37	18	.	.	PUNCT
alkej-464	37	19	similarity	similarity	NOUN
alkej-464	37	20	]	]	PUNCT
alkej-464	38	1	[	[	X
alkej-464	38	2	]	]	X
alkej-464	38	3	[	[	X
alkej-464	38	4	]	]	X
alkej-464	38	5	[	[	PUNCT
alkej-464	38	6	0	0	NUM
alkej-464	38	7	kykxnr	kykxnr	NOUN
alkej-464	38	8	n	n	PROPN
alkej-464	38	9	k	k	PROPN
alkej-464	38	10	kn	kn	PROPN
alkej-464	38	11	xy	xy	PROPN
alkej-464	38	12			X
alkej-464	39	1			NUM
alkej-464	39	2			ADJ
alkej-464	39	3			NUM
alkej-464	39	4	…	…	PUNCT
alkej-464	39	5	(	(	PUNCT
alkej-464	39	6	7	7	NUM
alkej-464	39	7	)	)	PUNCT
alkej-464	39	8	is	be	AUX
alkej-464	39	9	the	the	DET
alkej-464	39	10	estimator	estimator	NOUN
alkej-464	39	11	for	for	ADP
alkej-464	39	12	the	the	DET
alkej-464	39	13	crosscorrelation	crosscorrelation	NOUN
alkej-464	39	14	vector	vector	NOUN
alkej-464	39	15	]	]	X
alkej-464	40	1	[	[	X
alkej-464	40	2	nrxy	nrxy	NOUN
alkej-464	40	3			PROPN
alkej-464	40	4	hence	hence	ADV
alkej-464	40	5			NOUN
alkej-464	40	6			PUNCT
alkej-464	40	7	]	]	PUNCT
alkej-464	41	1	[	[	X
alkej-464	41	2	]	]	X
alkej-464	41	3	[	[	X
alkej-464	41	4	]	]	X
alkej-464	41	5	[	[	PUNCT
alkej-464	41	6	1	1	NUM
alkej-464	41	7	nrnrnh	nrnrnh	PROPN
alkej-464	41	8	xyxy	xyxy	PROPN
alkej-464	41	9			X
alkej-464	42	1			PROPN
alkej-464	42	2			NUM
alkej-464	42	3	…	…	PUNCT
alkej-464	42	4	(	(	PUNCT
alkej-464	42	5	8)	8)	NUM
alkej-464	42	6	is	be	AUX
alkej-464	42	7	the	the	DET
alkej-464	42	8	matrix	matrix	NOUN
alkej-464	42	9	inversion	inversion	NOUN
alkej-464	42	10	is	be	AUX
alkej-464	42	11	involved	involve	VERB
alkej-464	42	12	which	which	PRON
alkej-464	42	13	makes	make	VERB
alkej-464	42	14	the	the	DET
alkej-464	42	15	direct	direct	ADJ
alkej-464	42	16	solution	solution	NOUN
alkej-464	42	17	difficult	difficult	ADJ
alkej-464	42	18	.	.	PUNCT
alkej-464	43	1	we	we	PRON
alkej-464	43	2	look	look	VERB
alkej-464	43	3	forward	forward	ADV
alkej-464	43	4	for	for	ADP
alkej-464	43	5	a	a	DET
alkej-464	43	6	recursive	recursive	ADJ
alkej-464	43	7	solution.[4	solution.[4	NOUN
alkej-464	43	8	]	]	X
alkej-464	43	9	2.1	2.1	NUM
alkej-464	43	10	.	.	PUNCT
alkej-464	44	1	recursive	recursive	ADJ
alkej-464	44	2	representation	representation	NOUN
alkej-464	44	3	of	of	ADP
alkej-464	44	4	]	]	PUNCT
alkej-464	44	5	[	[	X
alkej-464	44	6	nryy	nryy	NOUN
alkej-464	44	7			PROPN
alkej-464	44	8	]	]	PUNCT
alkej-464	45	1	[	[	X
alkej-464	45	2	nryy	nryy	NOUN
alkej-464	45	3			PROPN
alkej-464	45	4	can	can	AUX
alkej-464	45	5	be	be	AUX
alkej-464	45	6	written	write	VERB
alkej-464	45	7	as	as	SCONJ
alkej-464	45	8	follows	follow	VERB
alkej-464	45	9	this	this	DET
alkej-464	45	10	page	page	NOUN
alkej-464	45	11	was	be	AUX
alkej-464	45	12	created	create	VERB
alkej-464	45	13	using	use	VERB
alkej-464	45	14	nitro	nitro	NOUN
alkej-464	45	15	pdf	pdf	NOUN
alkej-464	45	16	trial	trial	NOUN
alkej-464	45	17	software	software	NOUN
alkej-464	45	18	.	.	PUNCT
alkej-464	46	1	to	to	PART
alkej-464	46	2	purchase	purchase	VERB
alkej-464	46	3	,	,	PUNCT
alkej-464	46	4	go	go	VERB
alkej-464	46	5	to	to	ADP
alkej-464	46	6	http://www.nitropdf.com/	http://www.nitropdf.com/	NOUN
alkej-464	46	7	http://www.nitropdf.com/	http://www.nitropdf.com/	NOUN
alkej-464	46	8	noor	noor	PROPN
alkej-464	46	9	k.	k.	PROPN
alkej-464	46	10	muhsin	muhsin	PROPN
alkej-464	46	11	al	al	PROPN
alkej-464	46	12	-	-	PUNCT
alkej-464	46	13	khwarizmi	khwarizmi	PROPN
alkej-464	46	14	engineering	engineering	NOUN
alkej-464	46	15	journal	journal	PROPN
alkej-464	46	16	,	,	PUNCT
alkej-464	46	17	vol	vol	NOUN
alkej-464	46	18	.	.	PROPN
alkej-464	47	1	7	7	NUM
alkej-464	47	2	,	,	PUNCT
alkej-464	47	3	no	no	INTJ
alkej-464	47	4	.	.	NOUN
alkej-464	47	5	1	1	NUM
alkej-464	47	6	,	,	PUNCT
alkej-464	47	7	pp	pp	ADV
alkej-464	47	8	13	13	NUM
alkej-464	47	9	21	21	NUM
alkej-464	47	10	(	(	PUNCT
alkej-464	47	11	2011	2011	NUM
alkej-464	47	12	)	)	PUNCT
alkej-464	47	13	15	15	NUM
alkej-464	47	14	]	]	PUNCT
alkej-464	48	1	[	[	X
alkej-464	48	2	]	]	X
alkej-464	48	3	[	[	X
alkej-464	48	4	]	]	X
alkej-464	48	5	[	[	X
alkej-464	48	6	]	]	X
alkej-464	48	7	[	[	X
alkej-464	48	8	]	]	X
alkej-464	48	9	[	[	PUNCT
alkej-464	48	10	''	''	PUNCT
alkej-464	48	11	1	1	NUM
alkej-464	48	12	0	0	NUM
alkej-464	48	13	nynykykynr	nynykykynr	VERB
alkej-464	48	14	n	n	PRON
alkej-464	48	15	k	k	PROPN
alkej-464	48	16	kn	kn	PROPN
alkej-464	49	1	yy	yy	PROPN
alkej-464	49	2			PROPN
alkej-464	49	3			AUX
alkej-464	49	4			VERB
alkej-464	49	5			PROPN
alkej-464	49	6			PROPN
alkej-464	49	7			PUNCT
alkej-464	49	8	]	]	PUNCT
alkej-464	50	1	[	[	X
alkej-464	50	2	]	]	X
alkej-464	50	3	[	[	X
alkej-464	50	4	]	]	X
alkej-464	50	5	1	1	NUM
alkej-464	50	6	[	[	PUNCT
alkej-464	50	7	]	]	X
alkej-464	50	8	[	[	X
alkej-464	50	9	]	]	X
alkej-464	50	10	[	[	X
alkej-464	50	11	]	]	X
alkej-464	50	12	[	[	X
alkej-464	50	13	]	]	X
alkej-464	50	14	[	[	PUNCT
alkej-464	50	15	'	'	PUNCT
alkej-464	50	16	''	''	PUNCT
alkej-464	50	17	1	1	NUM
alkej-464	50	18	0	0	NUM
alkej-464	50	19	1	1	NUM
alkej-464	50	20	nynynr	nynynr	NOUN
alkej-464	50	21	nynykyky	nynykyky	NOUN
alkej-464	50	22	yy	yy	PROPN
alkej-464	50	23	n	n	CCONJ
alkej-464	50	24	k	k	PROPN
alkej-464	50	25	kn	kn	PROPN
alkej-464	50	26			PUNCT
alkej-464	50	27			ADJ
alkej-464	50	28			X
alkej-464	50	29			VERB
alkej-464	50	30			PRON
alkej-464	50	31			ADP
alkej-464	50	32			PROPN
alkej-464	50	33			ADJ
alkej-464	50	34			NOUN
alkej-464	50	35	…	…	PUNCT
alkej-464	50	36	(	(	PUNCT
alkej-464	50	37	9	9	X
alkej-464	50	38	)	)	PUNCT
alkej-464	50	39	this	this	PRON
alkej-464	50	40	shows	show	VERB
alkej-464	50	41	that	that	SCONJ
alkej-464	50	42	the	the	DET
alkej-464	50	43	autocorrelation	autocorrelation	NOUN
alkej-464	50	44	matrix	matrix	NOUN
alkej-464	50	45	can	can	AUX
alkej-464	50	46	be	be	AUX
alkej-464	50	47	recursively	recursively	ADV
alkej-464	50	48	computed	compute	VERB
alkej-464	50	49	from	from	ADP
alkej-464	50	50	its	its	PRON
alkej-464	50	51	previous	previous	ADJ
alkej-464	50	52	values	value	NOUN
alkej-464	50	53	and	and	CCONJ
alkej-464	50	54	the	the	DET
alkej-464	50	55	present	present	ADJ
alkej-464	50	56	data	datum	NOUN
alkej-464	50	57	vector.[4	vector.[4	NOUN
alkej-464	50	58	]	]	PUNCT
alkej-464	50	59	similarly	similarly	ADV
alkej-464	50	60	]	]	PUNCT
alkej-464	51	1	[	[	X
alkej-464	51	2	]	]	X
alkej-464	51	3	[	[	X
alkej-464	51	4	]	]	X
alkej-464	51	5	1	1	NUM
alkej-464	51	6	[	[	X
alkej-464	51	7	]	]	X
alkej-464	51	8	[	[	PUNCT
alkej-464	51	9	nynxnrnr	nynxnrnr	ADJ
alkej-464	51	10	xyxy	xyxy	PROPN
alkej-464	51	11			NUM
alkej-464	51	12			NUM
alkej-464	51	13			X
alkej-464	51	14			PROPN
alkej-464	51	15			PROPN
alkej-464	51	16			NOUN
alkej-464	51	17			PUNCT
alkej-464	51	18	]	]	PUNCT
alkej-464	52	1	[	[	X
alkej-464	52	2	]	]	X
alkej-464	52	3	[	[	X
alkej-464	52	4	]	]	X
alkej-464	52	5	[	[	X
alkej-464	52	6	]	]	X
alkej-464	52	7	1	1	NUM
alkej-464	52	8	[	[	PUNCT
alkej-464	52	9	]	]	X
alkej-464	52	10	[	[	X
alkej-464	52	11	]	]	X
alkej-464	52	12	[	[	X
alkej-464	52	13	]	]	X
alkej-464	52	14	[	[	PUNCT
alkej-464	52	15	1	1	NUM
alkej-464	52	16	'	'	NUM
alkej-464	52	17	1	1	NUM
alkej-464	52	18	nrnynynr	nrnynynr	PROPN
alkej-464	52	19	nrnrnh	nrnrnh	PROPN
alkej-464	52	20	xyxy	xyxy	PROPN
alkej-464	52	21	xyyy	xyyy	PROPN
alkej-464	52	22			PROPN
alkej-464	53	1			PUNCT
alkej-464	54	1			PROPN
alkej-464	54	2			PROPN
alkej-464	54	3			PROPN
alkej-464	54	4			PROPN
alkej-464	54	5			X
alkej-464	54	6	…	…	PUNCT
alkej-464	54	7	(	(	PUNCT
alkej-464	54	8	10	10	NUM
alkej-464	54	9	)	)	PUNCT
alkej-464	54	10	for	for	ADP
alkej-464	54	11	the	the	DET
alkej-464	54	12	matrix	matrix	NOUN
alkej-464	54	13	inversion	inversion	NOUN
alkej-464	54	14	above	above	ADP
alkej-464	54	15	the	the	DET
alkej-464	54	16	matrix	matrix	NOUN
alkej-464	54	17	inversion	inversion	NOUN
alkej-464	54	18	lemma	lemma	PROPN
alkej-464	54	19	will	will	AUX
alkej-464	54	20	be	be	AUX
alkej-464	54	21	useful	useful	ADJ
alkej-464	54	22	.	.	PUNCT
alkej-464	55	1	2.2	2.2	NUM
alkej-464	55	2	.	.	PUNCT
alkej-464	55	3	matrix	matrix	NOUN
alkej-464	55	4	inversion	inversion	NOUN
alkej-464	55	5	lemma	lemma	PROPN
alkej-464	55	6	if	if	SCONJ
alkej-464	55	7	a	a	DET
alkej-464	55	8	,	,	PUNCT
alkej-464	55	9	b	b	NOUN
alkej-464	55	10	,	,	PUNCT
alkej-464	55	11	c	c	PROPN
alkej-464	55	12	and	and	CCONJ
alkej-464	55	13	d	d	PROPN
alkej-464	55	14	are	be	AUX
alkej-464	55	15	matrices	matrix	NOUN
alkej-464	55	16	of	of	ADP
alkej-464	55	17	proper	proper	ADJ
alkej-464	55	18	orders	order	NOUN
alkej-464	55	19	,	,	PUNCT
alkej-464	55	20	a	a	PRON
alkej-464	55	21	and	and	CCONJ
alkej-464	55	22	c	c	NOUN
alkej-464	56	1	nonsingular	nonsingular	ADJ
alkej-464	56	2			PROPN
alkej-464	56	3			PROPN
alkej-464	56	4	11111	11111	NUM
alkej-464	56	5	)	)	PUNCT
alkej-464	56	6	(	(	PUNCT
alkej-464	56	7			X
alkej-464	56	8			PRON
alkej-464	56	9	dacbdabaabcda	dacbdabaabcda	VERB
alkej-464	56	10	…	…	PUNCT
alkej-464	56	11	(	(	PUNCT
alkej-464	56	12	11	11	NUM
alkej-464	56	13	)	)	PUNCT
alkej-464	56	14	taking	take	VERB
alkej-464	56	15	]	]	PUNCT
alkej-464	56	16	,	,	PUNCT
alkej-464	56	17	1	1	NUM
alkej-464	56	18	[	[	PUNCT
alkej-464	56	19			ADJ
alkej-464	56	20	nra	nra	PROPN
alkej-464	56	21	yy	yy	PROPN
alkej-464	56	22			PROPN
alkej-464	56	23			X
alkej-464	56	24	]	]	PUNCT
alkej-464	56	25	,	,	PUNCT
alkej-464	56	26	[	[	X
alkej-464	56	27	nyb	nyb	NOUN
alkej-464	56	28			ADJ
alkej-464	56	29	c=1	c=1	PROPN
alkej-464	56	30	and	and	CCONJ
alkej-464	56	31	]	]	PUNCT
alkej-464	56	32	[	[	X
alkej-464	56	33	'	'	PUNCT
alkej-464	56	34	nyd	nyd	X
alkej-464	56	35			NOUN
alkej-464	56	36	we	we	PRON
alkej-464	56	37	will	will	AUX
alkej-464	56	38	have	have	VERB
alkej-464	56	39			NOUN
alkej-464	56	40			PROPN
alkej-464	56	41	]	]	PUNCT
alkej-464	56	42	1[][1][]]1	1[][1][]]1	NUM
alkej-464	56	43	[	[	X
alkej-464	56	44	[	[	PUNCT
alkej-464	56	45	1	1	NUM
alkej-464	56	46	]	]	PUNCT
alkej-464	56	47	[	[	X
alkej-464	56	48	]	]	X
alkej-464	56	49	[	[	X
alkej-464	56	50	]	]	X
alkej-464	56	51	1	1	NUM
alkej-464	56	52	[	[	SYM
alkej-464	56	53	1	1	NUM
alkej-464	56	54	]	]	SYM
alkej-464	56	55	1	1	NUM
alkej-464	56	56	[	[	SYM
alkej-464	56	57	1	1	NUM
alkej-464	56	58	]	]	PUNCT
alkej-464	56	59	[	[	PUNCT
alkej-464	56	60	1	1	NUM
alkej-464	56	61	'	'	NOUN
alkej-464	56	62	1	1	NUM
alkej-464	56	63	1'1	1'1	NUM
alkej-464	56	64	11	11	NUM
alkej-464	56	65			NOUN
alkej-464	56	66			NOUN
alkej-464	56	67			PRON
alkej-464	56	68			PROPN
alkej-464	56	69			PROPN
alkej-464	56	70			NOUN
alkej-464	57	1			PROPN
alkej-464	57	2			PUNCT
alkej-464	57	3			PROPN
alkej-464	57	4			NOUN
alkej-464	57	5			NUM
alkej-464	57	6			PROPN
alkej-464	57	7	nrnynynrnynynr	nrnynynrnynynr	VERB
alkej-464	57	8	nrnr	nrnr	PROPN
alkej-464	57	9	yyyyyy	yyyyyy	PROPN
alkej-464	57	10	yyyy	yyyy	PROPN
alkej-464	57	11			PROPN
alkej-464	57	12			PUNCT
alkej-464	57	13			NOUN
alkej-464	57	14			ADJ
alkej-464	57	15			NOUN
alkej-464	57	16			NOUN
alkej-464	57	17			PROPN
alkej-464	57	18			NOUN
alkej-464	57	19			PROPN
alkej-464	57	20			NOUN
alkej-464	57	21			PROPN
alkej-464	57	22			PROPN
alkej-464	57	23			PUNCT
alkej-464	57	24			NOUN
alkej-464	57	25			PUNCT
alkej-464	57	26			NOUN
alkej-464	57	27	]	]	PUNCT
alkej-464	58	1	[	[	X
alkej-464	58	2	]	]	X
alkej-464	58	3	1	1	NUM
alkej-464	58	4	[	[	X
alkej-464	58	5	]	]	X
alkej-464	58	6	[	[	PUNCT
alkej-464	58	7	]	]	X
alkej-464	58	8	1[][][]1	1[][][]1	NOUN
alkej-464	58	9	[	[	PUNCT
alkej-464	58	10	]	]	SYM
alkej-464	58	11	1	1	NUM
alkej-464	58	12	[	[	SYM
alkej-464	58	13	1	1	NUM
alkej-464	58	14	1	1	NUM
alkej-464	58	15	'	'	NUM
alkej-464	58	16	1'1	1'1	NUM
alkej-464	58	17	1	1	NUM
alkej-464	58	18	nynrny	nynrny	NOUN
alkej-464	58	19	nrnynynr	nrnynynr	PROPN
alkej-464	58	20	nr	nr	PROPN
alkej-464	58	21	yy	yy	PROPN
alkej-464	58	22	yyyy	yyyy	PROPN
alkej-464	58	23	yy	yy	PROPN
alkej-464	59	1			PROPN
alkej-464	59	2			PUNCT
alkej-464	60	1			PROPN
alkej-464	60	2			NOUN
alkej-464	60	3	…	…	PUNCT
alkej-464	60	4	(	(	PUNCT
alkej-464	60	5	12	12	NUM
alkej-464	60	6	)	)	PUNCT
alkej-464	60	7	rename	rename	ADJ
alkej-464	60	8	p[n]=	p[n]=	NOUN
alkej-464	60	9	]	]	PUNCT
alkej-464	61	1	[	[	X
alkej-464	61	2	1	1	NUM
alkej-464	61	3	nryy	nryy	NOUN
alkej-464	61	4			VERB
alkej-464	61	5	.	.	PUNCT
alkej-464	62	1	then	then	ADV
alkej-464	62	2	]	]	X
alkej-464	62	3	)	)	PUNCT
alkej-464	62	4	1[][][]1	1[][][]1	PROPN
alkej-464	63	1	[	[	X
alkej-464	63	2	(	(	PUNCT
alkej-464	63	3	1	1	NUM
alkej-464	63	4	p[n	p[n	NOUN
alkej-464	63	5	]	]	PUNCT
alkej-464	63	6	'	'	PUNCT
alkej-464	63	7			NOUN
alkej-464	63	8	npnynknp	npnynknp	VERB
alkej-464	63	9			ADJ
alkej-464	63	10	…	…	PUNCT
alkej-464	63	11	(	(	PUNCT
alkej-464	63	12	13	13	NUM
alkej-464	63	13	)	)	PUNCT
alkej-464	63	14	where	where	SCONJ
alkej-464	63	15	k[n	k[n	PROPN
alkej-464	63	16	]	]	PUNCT
alkej-464	63	17	is	be	AUX
alkej-464	63	18	called	call	VERB
alkej-464	63	19	the	the	DET
alkej-464	63	20	"	"	PUNCT
alkej-464	63	21	gain	gain	VERB
alkej-464	63	22	vector	vector	NOUN
alkej-464	63	23	"	"	PUNCT
alkej-464	63	24	and	and	CCONJ
alkej-464	63	25	given	give	VERB
alkej-464	63	26	by	by	ADP
alkej-464	63	27	]	]	PUNCT
alkej-464	63	28	[	[	X
alkej-464	63	29	]	]	X
alkej-464	63	30	1	1	NUM
alkej-464	63	31	[	[	X
alkej-464	63	32	]	]	X
alkej-464	63	33	[	[	PUNCT
alkej-464	63	34	]	]	X
alkej-464	63	35	[	[	X
alkej-464	63	36	]	]	X
alkej-464	63	37	1	1	NUM
alkej-464	63	38	[	[	PUNCT
alkej-464	63	39	]	]	X
alkej-464	63	40	[	[	PUNCT
alkej-464	63	41	'	'	PUNCT
alkej-464	63	42	nynpny	nynpny	NOUN
alkej-464	63	43	nynp	nynp	VERB
alkej-464	63	44	nk	nk	PROPN
alkej-464	63	45			PROPN
alkej-464	63	46			ADJ
alkej-464	63	47			ADJ
alkej-464	63	48	…	…	PUNCT
alkej-464	63	49	(	(	PUNCT
alkej-464	63	50	14	14	NUM
alkej-464	63	51	)	)	PUNCT
alkej-464	63	52	k[n	k[n	NOUN
alkej-464	63	53	]	]	X
alkej-464	63	54	important	important	ADJ
alkej-464	63	55	to	to	PART
alkej-464	63	56	interpret	interpret	VERB
alkej-464	63	57	adaptation	adaptation	NOUN
alkej-464	63	58	is	be	AUX
alkej-464	63	59	also	also	ADV
alkej-464	63	60	related	relate	VERB
alkej-464	63	61	to	to	ADP
alkej-464	63	62	the	the	DET
alkej-464	63	63	current	current	ADJ
alkej-464	63	64	data	data	NOUN
alkej-464	63	65	vector	vector	NOUN
alkej-464	63	66	y[n	y[n	NOUN
alkej-464	63	67	]	]	PUNCT
alkej-464	63	68	by	by	ADP
alkej-464	63	69	k[n]=p[n]y[n	k[n]=p[n]y[n	NOUN
alkej-464	63	70	]	]	PUNCT
alkej-464	63	71	to	to	PART
alkej-464	63	72	establish	establish	VERB
alkej-464	63	73	the	the	DET
alkej-464	63	74	above	above	ADJ
alkej-464	63	75	relation	relation	NOUN
alkej-464	63	76	consider	consider	VERB
alkej-464	63	77	p[n	p[n	VERB
alkej-464	63	78	]	]	X
alkej-464	63	79	=	=	SYM
alkej-464	63	80			X
alkej-464	63	81	1	1	NUM
alkej-464	63	82	1(p[n	1(p[n	NUM
alkej-464	63	83	−1	−1	NOUN
alkej-464	63	84	]	]	PUNCT
alkej-464	63	85	−	−	PROPN
alkej-464	63	86	k[n]y′[n]p[n	k[n]y′[n]p[n	PROPN
alkej-464	63	87	−1	−1	NOUN
alkej-464	63	88	]	]	PUNCT
alkej-464	63	89	)	)	PUNCT
alkej-464	63	90	…	…	PUNCT
alkej-464	63	91	(	(	PUNCT
alkej-464	63	92	15	15	NUM
alkej-464	63	93	)	)	PUNCT
alkej-464	63	94	multiplying	multiply	VERB
alkej-464	63	95	by	by	ADP
alkej-464	63	96	λ	λ	NOUN
alkej-464	63	97	and	and	CCONJ
alkej-464	63	98	post	post	ADJ
alkej-464	63	99	-	-	ADJ
alkej-464	63	100	multiplying	multiply	VERB
alkej-464	63	101	by	by	ADP
alkej-464	63	102	y[n	y[n	NOUN
alkej-464	63	103	]	]	PUNCT
alkej-464	63	104	and	and	CCONJ
alkej-464	63	105	simplifying	simplify	VERB
alkej-464	63	106	we	we	PRON
alkej-464	63	107	get	get	VERB
alkej-464	63	108	]	]	PUNCT
alkej-464	63	109	[	[	X
alkej-464	63	110	]	]	X
alkej-464	63	111	)	)	PUNCT
alkej-464	63	112	1[][][]1	1[][][]1	PROPN
alkej-464	64	1	[	[	X
alkej-464	64	2	(	(	PUNCT
alkej-464	64	3	]	]	X
alkej-464	64	4	[	[	X
alkej-464	64	5	]	]	X
alkej-464	64	6	[	[	PUNCT
alkej-464	64	7	'	'	PUNCT
alkej-464	64	8	nynpnynknpnynp	nynpnynknpnynp	NOUN
alkej-464	64	9			PRON
alkej-464	64	10	=	=	SYM
alkej-464	64	11	p[n-1]y[n]-k[n]y'[n]p[n-1]y[n	p[n-1]y[n]-k[n]y'[n]p[n-1]y[n	X
alkej-464	64	12	]	]	X
alkej-464	65	1	=	=	SYM
alkej-464	65	2	λk[n	λk[n	PROPN
alkej-464	65	3	]	]	X
alkej-464	65	4	…	…	PUNCT
alkej-464	65	5	(	(	PUNCT
alkej-464	65	6	16	16	NUM
alkej-464	65	7	)	)	PUNCT
alkej-464	65	8	therefore	therefore	ADV
alkej-464	65	9	]	]	X
alkej-464	65	10	[	[	X
alkej-464	65	11	]	]	X
alkej-464	65	12	[	[	X
alkej-464	65	13	]	]	X
alkej-464	65	14	[	[	PUNCT
alkej-464	65	15	^1^	^1^	X
alkej-464	65	16	nrnrnh	nrnrnh	PROPN
alkej-464	65	17	xyyy	xyyy	PROPN
alkej-464	65	18			PROPN
alkej-464	65	19			PROPN
alkej-464	65	20			NOUN
alkej-464	65	21			PRON
alkej-464	65	22			PROPN
alkej-464	65	23			PROPN
alkej-464	65	24			PROPN
alkej-464	66	1	=	=	AUX
alkej-464	66	2	p[n](λ	p[n](λ	PROPN
alkej-464	66	3	nr	nr	INTJ
alkej-464	66	4	xy	xy	PROPN
alkej-464	66	5	[	[	PUNCT
alkej-464	66	6	^	^	PUNCT
alkej-464	66	7	-1]+x[n]y[n	-1]+x[n]y[n	PROPN
alkej-464	66	8	]	]	PUNCT
alkej-464	66	9	)	)	PUNCT
alkej-464	66	10	=	=	SYM
alkej-464	66	11	λp[n	λp[n	PROPN
alkej-464	66	12	]	]	X
alkej-464	66	13	nr	nr	X
alkej-464	66	14	xy	xy	PROPN
alkej-464	66	15	[	[	PUNCT
alkej-464	66	16	^	^	PUNCT
alkej-464	66	17	-1]+x[n]p[n]y[n	-1]+x[n]p[n]y[n	X
alkej-464	66	18	]	]	X
alkej-464	66	19	n]x[n]p[n]y[+]1[r1]]-[n]p[nk[n]y'-1]-[p[n	n]x[n]p[n]y[+]1[r1]]-[n]p[nk[n]y'-1]-[p[n	X
alkej-464	66	20	1	1	NUM
alkej-464	66	21	=	=	SYM
alkej-464	66	22	^	^	PUNCT
alkej-464	66	23	xy	xy	PROPN
alkej-464	66	24	n	n	VERB
alkej-464	66	25			ADJ
alkej-464	66	26			ADJ
alkej-464	66	27	=	=	SYM
alkej-464	66	28	h[n-1]+k[n]y'[n]h[n-1]+x[n]k[n	h[n-1]+k[n]y'[n]h[n-1]+x[n]k[n	PROPN
alkej-464	66	29	]	]	PUNCT
alkej-464	66	30	=	=	NOUN
alkej-464	66	31	h[n-1]+k[n](x[n]-y'[n]h[n-1	h[n-1]+k[n](x[n]-y'[n]h[n-1	X
alkej-464	66	32	]	]	X
alkej-464	66	33	)	)	PUNCT
alkej-464	66	34	…	…	PUNCT
alkej-464	66	35	(	(	PUNCT
alkej-464	66	36	17	17	NUM
alkej-464	66	37	)	)	PUNCT
alkej-464	66	38	2.3	2.3	NUM
alkej-464	66	39	.	.	PUNCT
alkej-464	67	1	rls	rls	PROPN
alkej-464	67	2	algorithm	algorithm	PROPN
alkej-464	67	3	operation	operation	NOUN
alkej-464	67	4	the	the	DET
alkej-464	67	5	rls	rls	PROPN
alkej-464	67	6	algorithm	algorithm	NOUN
alkej-464	67	7	can	can	AUX
alkej-464	67	8	be	be	AUX
alkej-464	67	9	motivated	motivate	VERB
alkej-464	67	10	and	and	CCONJ
alkej-464	67	11	derived	derive	VERB
alkej-464	67	12	as	as	ADP
alkej-464	67	13	the	the	DET
alkej-464	67	14	exact	exact	ADJ
alkej-464	67	15	solution	solution	NOUN
alkej-464	67	16	to	to	ADP
alkej-464	67	17	a	a	DET
alkej-464	67	18	well	well	ADV
alkej-464	67	19	-	-	PUNCT
alkej-464	67	20	defined	define	VERB
alkej-464	67	21	estimation	estimation	NOUN
alkej-464	67	22	problem	problem	NOUN
alkej-464	67	23	with	with	ADP
alkej-464	67	24	a	a	DET
alkej-464	67	25	least	least	ADJ
alkej-464	67	26	-	-	PUNCT
alkej-464	67	27	squares	square	NOUN
alkej-464	67	28	cost	cost	NOUN
alkej-464	67	29	function.[5	function.[5	NOUN
alkej-464	67	30	]	]	X
alkej-464	68	1	the	the	DET
alkej-464	68	2	rls	rls	PROPN
alkej-464	68	3	algorithm	algorithm	NOUN
alkej-464	68	4	operation	operation	NOUN
alkej-464	68	5	was	be	AUX
alkej-464	68	6	:	:	PUNCT
alkej-464	68	7	for	for	ADP
alkej-464	68	8	1	1	NUM
alkej-464	68	9	to	to	ADP
alkej-464	68	10	n	n	NOUN
alkej-464	68	11	=	=	PUNCT
alkej-464	68	12	final	final	ADJ
alkej-464	68	13	1	1	X
alkej-464	68	14	.	.	PUNCT
alkej-464	69	1	get	get	VERB
alkej-464	69	2	x[n	x[n	PROPN
alkej-464	69	3	]	]	PUNCT
alkej-464	69	4	,	,	PUNCT
alkej-464	69	5	y[n	y[n	X
alkej-464	69	6	]	]	X
alkej-464	69	7	2	2	X
alkej-464	69	8	.	.	PUNCT
alkej-464	69	9	get	get	VERB
alkej-464	69	10	e[n	e[n	NOUN
alkej-464	69	11	]	]	PUNCT
alkej-464	69	12	=	=	SYM
alkej-464	69	13	x[n	x[n	PROPN
alkej-464	69	14	]	]	X
alkej-464	69	15	−	−	PROPN
alkej-464	69	16	h′[n	h′[n	PROPN
alkej-464	69	17	−1]y[n	−1]y[n	NOUN
alkej-464	69	18	]	]	X
alkej-464	69	19	3	3	X
alkej-464	69	20	.	.	NOUN
alkej-464	69	21	calculate	calculate	NOUN
alkej-464	69	22	gain	gain	NOUN
alkej-464	69	23	vector	vector	NOUN
alkej-464	69	24	]	]	X
alkej-464	70	1	[	[	X
alkej-464	70	2	]	]	X
alkej-464	70	3	1	1	NUM
alkej-464	70	4	[	[	X
alkej-464	70	5	]	]	X
alkej-464	70	6	[	[	PUNCT
alkej-464	70	7	]	]	X
alkej-464	70	8	[	[	X
alkej-464	70	9	]	]	X
alkej-464	70	10	1	1	NUM
alkej-464	70	11	[	[	PUNCT
alkej-464	70	12	]	]	X
alkej-464	70	13	[	[	PUNCT
alkej-464	70	14	'	'	PUNCT
alkej-464	70	15	nynpny	nynpny	NOUN
alkej-464	70	16	nynp	nynp	VERB
alkej-464	70	17	nk	nk	PROPN
alkej-464	70	18			PROPN
alkej-464	70	19			PROPN
alkej-464	70	20			PROPN
alkej-464	70	21			ADJ
alkej-464	70	22	4	4	NUM
alkej-464	70	23	.	.	PUNCT
alkej-464	70	24	update	update	VERB
alkej-464	70	25	the	the	DET
alkej-464	70	26	filter	filter	NOUN
alkej-464	70	27	parameters	parameter	NOUN
alkej-464	70	28	h[n	h[n	X
alkej-464	70	29	]	]	X
alkej-464	71	1	=	=	SYM
alkej-464	71	2	h[n	h[n	NUM
alkej-464	71	3	−1	−1	NOUN
alkej-464	71	4	]	]	X
alkej-464	72	1	+	+	CCONJ
alkej-464	72	2	k[n]e[n	k[n]e[n	X
alkej-464	72	3	]	]	X
alkej-464	72	4	5	5	NUM
alkej-464	72	5	.	.	X
alkej-464	72	6	update	update	VERB
alkej-464	72	7	the	the	DET
alkej-464	72	8	p	p	NOUN
alkej-464	72	9	matrix	matrix	NOUN
alkej-464	72	10	1])-[n]p[n[n]y-	1])-[n]p[n[n]y-	NUM
alkej-464	72	11	(	(	PUNCT
alkej-464	72	12	1	1	NUM
alkej-464	72	13	p[n	p[n	NOUN
alkej-464	72	14	]	]	PUNCT
alkej-464	72	15	'	'	PUNCT
alkej-464	72	16	knp	knp	PROPN
alkej-464	72	17			PROPN
alkej-464	72	18			X
alkej-464	72	19	end	end	NOUN
alkej-464	72	20	this	this	DET
alkej-464	72	21	page	page	NOUN
alkej-464	72	22	was	be	AUX
alkej-464	72	23	created	create	VERB
alkej-464	72	24	using	use	VERB
alkej-464	72	25	nitro	nitro	NOUN
alkej-464	72	26	pdf	pdf	NOUN
alkej-464	72	27	trial	trial	NOUN
alkej-464	72	28	software	software	NOUN
alkej-464	72	29	.	.	PUNCT
alkej-464	73	1	to	to	PART
alkej-464	73	2	purchase	purchase	VERB
alkej-464	73	3	,	,	PUNCT
alkej-464	73	4	go	go	VERB
alkej-464	73	5	to	to	ADP
alkej-464	73	6	http://www.nitropdf.com/	http://www.nitropdf.com/	NOUN
alkej-464	73	7	http://www.nitropdf.com/	http://www.nitropdf.com/	NOUN
alkej-464	73	8	noor	noor	PROPN
alkej-464	73	9	k.	k.	PROPN
alkej-464	73	10	muhsin	muhsin	PROPN
alkej-464	73	11	al	al	PROPN
alkej-464	73	12	-	-	PUNCT
alkej-464	73	13	khwarizmi	khwarizmi	PROPN
alkej-464	73	14	engineering	engineering	NOUN
alkej-464	73	15	journal	journal	PROPN
alkej-464	73	16	,	,	PUNCT
alkej-464	73	17	vol	vol	NOUN
alkej-464	73	18	.	.	PROPN
alkej-464	74	1	7	7	NUM
alkej-464	74	2	,	,	PUNCT
alkej-464	74	3	no	no	INTJ
alkej-464	74	4	.	.	NOUN
alkej-464	74	5	1	1	NUM
alkej-464	74	6	,	,	PUNCT
alkej-464	74	7	pp	pp	ADV
alkej-464	74	8	13	13	NUM
alkej-464	74	9	21	21	NUM
alkej-464	74	10	(	(	PUNCT
alkej-464	74	11	2011	2011	NUM
alkej-464	74	12	)	)	PUNCT
alkej-464	75	1	fig.2	fig.2	PROPN
alkej-464	75	2	.	.	PUNCT
alkej-464	75	3	block	block	NOUN
alkej-464	75	4	diagram	diagram	NOUN
alkej-464	75	5	of	of	ADP
alkej-464	75	6	the	the	DET
alkej-464	75	7	proposed	propose	VERB
alkej-464	75	8	system	system	NOUN
alkej-464	75	9	.	.	PUNCT
alkej-464	76	1	3	3	X
alkej-464	76	2	.	.	X
alkej-464	76	3	methodology	methodology	NOUN
alkej-464	76	4	from	from	ADP
alkej-464	76	5	the	the	DET
alkej-464	76	6	following	follow	VERB
alkej-464	76	7	bloke	bloke	NOUN
alkej-464	76	8	diagram	diagram	NOUN
alkej-464	76	9	,	,	PUNCT
alkej-464	76	10	this	this	DET
alkej-464	76	11	section	section	NOUN
alkej-464	76	12	is	be	AUX
alkej-464	76	13	divided	divide	VERB
alkej-464	76	14	in	in	ADP
alkej-464	76	15	to	to	ADP
alkej-464	76	16	three	three	NUM
alkej-464	76	17	steps	step	NOUN
alkej-464	76	18	as	as	SCONJ
alkej-464	76	19	follows	follow	VERB
alkej-464	76	20	:	:	PUNCT
alkej-464	76	21	3.1	3.1	NUM
alkej-464	76	22	.	.	PUNCT
alkej-464	76	23	1st	1st	ADJ
alkej-464	76	24	step	step	NOUN
alkej-464	76	25	noisy	noisy	ADJ
alkej-464	76	26	ecg	ecg	PROPN
alkej-464	76	27	data	data	PROPN
alkej-464	76	28	acquisition	acquisition	NOUN
alkej-464	76	29	the	the	DET
alkej-464	76	30	ecg	ecg	PROPN
alkej-464	76	31	is	be	AUX
alkej-464	76	32	the	the	DET
alkej-464	76	33	electrical	electrical	ADJ
alkej-464	76	34	manifestation	manifestation	NOUN
alkej-464	76	35	of	of	ADP
alkej-464	76	36	the	the	DET
alkej-464	76	37	contractile	contractile	NOUN
alkej-464	76	38	activity	activity	NOUN
alkej-464	76	39	of	of	ADP
alkej-464	76	40	the	the	DET
alkej-464	76	41	heart	heart	NOUN
alkej-464	76	42	,	,	PUNCT
alkej-464	76	43	and	and	CCONJ
alkej-464	76	44	can	can	AUX
alkej-464	76	45	be	be	AUX
alkej-464	76	46	recorded	record	VERB
alkej-464	76	47	fairly	fairly	ADV
alkej-464	76	48	easily	easily	ADV
alkej-464	76	49	with	with	ADP
alkej-464	76	50	surface	surface	NOUN
alkej-464	76	51	electrodes	electrode	NOUN
alkej-464	76	52	on	on	ADP
alkej-464	76	53	the	the	DET
alkej-464	76	54	limbs	limb	NOUN
alkej-464	76	55	or	or	CCONJ
alkej-464	76	56	chest	chest	NOUN
alkej-464	76	57	.	.	PUNCT
alkej-464	77	1	the	the	DET
alkej-464	77	2	corrupted	corrupted	ADJ
alkej-464	77	3	ecg	ecg	PROPN
alkej-464	77	4	signals	signal	NOUN
alkej-464	77	5	with	with	ADP
alkej-464	77	6	hfn	hfn	NOUN
alkej-464	77	7	and	and	CCONJ
alkej-464	77	8	lfn	lfn	PROPN
alkej-464	77	9	are	be	AUX
alkej-464	77	10	a	a	DET
alkej-464	77	11	real	real	ADJ
alkej-464	77	12	data	datum	NOUN
alkej-464	77	13	down	down	ADP
alkej-464	77	14	loaded	load	VERB
alkej-464	77	15	from	from	ADP
alkej-464	77	16	internet[1	internet[1	PROPN
alkej-464	77	17	]	]	PUNCT
alkej-464	77	18	,	,	PUNCT
alkej-464	77	19	these	these	PRON
alkej-464	77	20	contaminated	contaminate	VERB
alkej-464	77	21	ecg	ecg	PROPN
alkej-464	77	22	of	of	ADP
alkej-464	77	23	500	500	NUM
alkej-464	77	24	µ	µ	PROPN
alkej-464	77	25	sec	sec	PROPN
alkej-464	77	26	(	(	PUNCT
alkej-464	77	27	2000	2000	NUM
alkej-464	77	28	samples	sample	NOUN
alkej-464	77	29	)	)	PUNCT
alkej-464	77	30	data	datum	NOUN
alkej-464	77	31	length	length	NOUN
alkej-464	77	32	with	with	ADP
alkej-464	77	33	sampling	sample	VERB
alkej-464	77	34	frequency	frequency	NOUN
alkej-464	77	35	of	of	ADP
alkej-464	77	36	1000hz	1000hz	NOUN
alkej-464	77	37	.	.	PUNCT
alkej-464	78	1	3.2	3.2	NUM
alkej-464	78	2	.	.	PUNCT
alkej-464	78	3	2nd	2nd	ADJ
alkej-464	78	4	step	step	NOUN
alkej-464	78	5	filteration	filteration	NOUN
alkej-464	78	6	process	process	VERB
alkej-464	78	7	the	the	DET
alkej-464	78	8	noisy	noisy	ADJ
alkej-464	78	9	ecg	ecg	PROPN
alkej-464	78	10	signals	signal	NOUN
alkej-464	78	11	in	in	ADP
alkej-464	78	12	this	this	DET
alkej-464	78	13	step	step	NOUN
alkej-464	78	14	were	be	AUX
alkej-464	78	15	passing	pass	VERB
alkej-464	78	16	through	through	ADP
alkej-464	78	17	the	the	DET
alkej-464	78	18	adaptive	adaptive	ADJ
alkej-464	78	19	fir	fir	NOUN
alkej-464	78	20	and	and	CCONJ
alkej-464	78	21	iir	iir	NOUN
alkej-464	78	22	filters	filter	NOUN
alkej-464	78	23	,	,	PUNCT
alkej-464	78	24	the	the	DET
alkej-464	78	25	adaptation	adaptation	NOUN
alkej-464	78	26	process	process	NOUN
alkej-464	78	27	were	be	AUX
alkej-464	78	28	done	do	VERB
alkej-464	78	29	using	use	VERB
alkej-464	78	30	rls	rls	PROPN
alkej-464	78	31	algorithm	algorithm	NOUN
alkej-464	78	32	to	to	PART
alkej-464	78	33	remove	remove	VERB
alkej-464	78	34	the	the	DET
alkej-464	78	35	hfn	hfn	NOUN
alkej-464	78	36	and	and	CCONJ
alkej-464	78	37	lfn	lfn	PROPN
alkej-464	78	38	from	from	ADP
alkej-464	78	39	the	the	DET
alkej-464	78	40	ecg	ecg	PROPN
alkej-464	78	41	signals	signal	NOUN
alkej-464	78	42	.	.	PUNCT
alkej-464	79	1	the	the	DET
alkej-464	79	2	selected	select	VERB
alkej-464	79	3	parameters	parameter	NOUN
alkej-464	79	4	were	be	AUX
alkej-464	79	5	illustrated	illustrate	VERB
alkej-464	79	6	in	in	ADP
alkej-464	79	7	table	table	NOUN
alkej-464	79	8	1	1	NUM
alkej-464	79	9	:	:	PUNCT
alkej-464	79	10	table	table	NOUN
alkej-464	79	11	1	1	NUM
alkej-464	79	12	,	,	PUNCT
alkej-464	79	13	parameters	parameter	NOUN
alkej-464	79	14	of	of	ADP
alkej-464	79	15	the	the	DET
alkej-464	79	16	proposed	propose	VERB
alkej-464	79	17	system	system	NOUN
alkej-464	79	18	.	.	PUNCT
alkej-464	80	1	fir	fir	NOUN
alkej-464	80	2	iir	iir	PROPN
alkej-464	80	3	system	system	NOUN
alkej-464	80	4	order	order	NOUN
alkej-464	80	5	5	5	NUM
alkej-464	80	6	10	10	NUM
alkej-464	80	7	λ	λ	NOUN
alkej-464	80	8	0.999	0.999	NUM
alkej-464	80	9	0.9995	0.9995	NUM
alkej-464	80	10	the	the	DET
alkej-464	80	11	selected	select	VERB
alkej-464	80	12	order	order	NOUN
alkej-464	80	13	for	for	ADP
alkej-464	80	14	the	the	DET
alkej-464	80	15	fir	fir	NOUN
alkej-464	80	16	type	type	NOUN
alkej-464	80	17	is	be	AUX
alkej-464	80	18	half	half	NOUN
alkej-464	80	19	of	of	ADP
alkej-464	80	20	the	the	DET
alkej-464	80	21	iir	iir	PROPN
alkej-464	80	22	filter	filter	NOUN
alkej-464	80	23	and	and	CCONJ
alkej-464	80	24	illustrated	illustrate	VERB
alkej-464	80	25	more	more	ADV
alkej-464	80	26	pleasant	pleasant	ADJ
alkej-464	80	27	results	result	NOUN
alkej-464	80	28	with	with	ADP
alkej-464	80	29	more	more	ADJ
alkej-464	80	30	sharpness	sharpness	NOUN
alkej-464	80	31	compared	compare	VERB
alkej-464	80	32	with	with	ADP
alkej-464	80	33	the	the	DET
alkej-464	80	34	iir	iir	PROPN
alkej-464	80	35	filter	filter	NOUN
alkej-464	80	36	that	that	PRON
alkej-464	80	37	required	require	VERB
alkej-464	80	38	higher	high	ADJ
alkej-464	80	39	order	order	NOUN
alkej-464	80	40	to	to	PART
alkej-464	80	41	illustrated	illustrated	VERB
alkej-464	80	42	a	a	DET
alkej-464	80	43	familiar	familiar	ADJ
alkej-464	80	44	results	result	NOUN
alkej-464	80	45	.	.	PUNCT
alkej-464	81	1	the	the	DET
alkej-464	81	2	weighting	weighting	NOUN
alkej-464	81	3	factor	factor	NOUN
alkej-464	81	4	λ	λ	PROPN
alkej-464	81	5	(	(	PUNCT
alkej-464	81	6	also	also	ADV
alkej-464	81	7	known	know	VERB
alkej-464	81	8	as	as	ADP
alkej-464	81	9	the	the	DET
alkej-464	81	10	forgetting	forget	VERB
alkej-464	81	11	factor	factor	NOUN
alkej-464	81	12	)	)	PUNCT
alkej-464	81	13	with	with	ADP
alkej-464	81	14	0	0	NUM
alkej-464	81	15	<	<	X
alkej-464	81	16	λ	λ	X
alkej-464	81	17	<	<	X
alkej-464	81	18	1	1	NUM
alkej-464	81	19	.	.	PUNCT
alkej-464	82	1	the	the	DET
alkej-464	82	2	values	value	NOUN
alkej-464	82	3	of	of	ADP
alkej-464	82	4	λn	λn	NOUN
alkej-464	82	5	-	-	PUNCT
alkej-464	82	6	i	i	PRON
alkej-464	82	7	<	<	X
alkej-464	82	8	1	1	NUM
alkej-464	82	9	give	give	VERB
alkej-464	82	10	more	more	ADJ
alkej-464	82	11	“	"	PUNCT
alkej-464	82	12	weight	weight	NOUN
alkej-464	82	13	”	"	PUNCT
alkej-464	82	14	to	to	ADP
alkej-464	82	15	the	the	DET
alkej-464	82	16	more	more	ADV
alkej-464	82	17	recent	recent	ADJ
alkej-464	82	18	error	error	NOUN
alkej-464	82	19	values	value	NOUN
alkej-464	82	20	.	.	PUNCT
alkej-464	83	1	such	such	ADJ
alkej-464	83	2	weighting	weighting	NOUN
alkej-464	83	3	is	be	AUX
alkej-464	83	4	desired	desire	VERB
alkej-464	83	5	in	in	ADP
alkej-464	83	6	the	the	DET
alkej-464	83	7	case	case	NOUN
alkej-464	83	8	of	of	ADP
alkej-464	83	9	nonstationary	nonstationary	ADJ
alkej-464	83	10	data	datum	NOUN
alkej-464	83	11	,	,	PUNCT
alkej-464	83	12	where	where	SCONJ
alkej-464	83	13	changes	change	NOUN
alkej-464	83	14	in	in	ADP
alkej-464	83	15	the	the	DET
alkej-464	83	16	signal	signal	NOUN
alkej-464	83	17	statistics	statistic	NOUN
alkej-464	83	18	make	make	VERB
alkej-464	83	19	the	the	DET
alkej-464	83	20	inclusion	inclusion	NOUN
alkej-464	83	21	of	of	ADP
alkej-464	83	22	past	past	ADJ
alkej-464	83	23	data	datum	NOUN
alkej-464	83	24	less	less	ADV
alkej-464	83	25	appropriate	appropriate	ADJ
alkej-464	83	26	[	[	X
alkej-464	83	27	6	6	NUM
alkej-464	83	28	]	]	PUNCT
alkej-464	83	29	.	.	PUNCT
alkej-464	84	1	so	so	ADV
alkej-464	84	2	that	that	SCONJ
alkej-464	84	3	the	the	DET
alkej-464	84	4	smaller	small	ADJ
alkej-464	84	5	forgetting	forget	VERB
alkej-464	84	6	factor	factor	NOUN
alkej-464	84	7	λ	λ	NOUN
alkej-464	84	8	give	give	VERB
alkej-464	84	9	an	an	DET
alkej-464	84	10	indication	indication	NOUN
alkej-464	84	11	of	of	ADP
alkej-464	84	12	the	the	DET
alkej-464	84	13	smaller	small	ADJ
alkej-464	84	14	contribution	contribution	NOUN
alkej-464	84	15	of	of	ADP
alkej-464	84	16	previous	previous	ADJ
alkej-464	84	17	samples	sample	NOUN
alkej-464	84	18	.	.	PUNCT
alkej-464	85	1	this	this	PRON
alkej-464	85	2	makes	make	VERB
alkej-464	85	3	the	the	DET
alkej-464	85	4	filter	filter	NOUN
alkej-464	85	5	more	more	ADV
alkej-464	85	6	sensitive	sensitive	ADJ
alkej-464	85	7	to	to	ADP
alkej-464	85	8	recent	recent	ADJ
alkej-464	85	9	samples	sample	NOUN
alkej-464	85	10	,	,	PUNCT
alkej-464	85	11	which	which	PRON
alkej-464	85	12	means	mean	VERB
alkej-464	85	13	more	more	ADJ
alkej-464	85	14	fluctuations	fluctuation	NOUN
alkej-464	85	15	in	in	ADP
alkej-464	85	16	the	the	DET
alkej-464	85	17	filter	filter	NOUN
alkej-464	85	18	coefficients	coefficient	NOUN
alkej-464	85	19	.	.	PUNCT
alkej-464	86	1	the	the	DET
alkej-464	86	2	λ	λ	PROPN
alkej-464	86	3	=	=	SYM
alkej-464	86	4	1	1	NUM
alkej-464	86	5	case	case	NOUN
alkej-464	86	6	is	be	AUX
alkej-464	86	7	referred	refer	VERB
alkej-464	86	8	to	to	ADP
alkej-464	86	9	as	as	ADP
alkej-464	86	10	the	the	DET
alkej-464	86	11	growing	grow	VERB
alkej-464	86	12	window	window	NOUN
alkej-464	86	13	rls	rl	NOUN
alkej-464	86	14	algorithm.[7	algorithm.[7	PUNCT
alkej-464	86	15	]	]	X
alkej-464	86	16	3.3	3.3	NUM
alkej-464	86	17	.	.	PUNCT
alkej-464	87	1	results	result	NOUN
alkej-464	87	2	and	and	CCONJ
alkej-464	87	3	discussion	discussion	NOUN
alkej-464	87	4	a.	a.	NOUN
alkej-464	87	5	noise	noise	NOUN
alkej-464	87	6	removal	removal	NOUN
alkej-464	87	7	to	to	PART
alkej-464	87	8	verify	verify	VERB
alkej-464	87	9	the	the	DET
alkej-464	87	10	algorithm	algorithm	NOUN
alkej-464	87	11	suggested	suggest	VERB
alkej-464	87	12	in	in	ADP
alkej-464	87	13	this	this	DET
alkej-464	87	14	paper	paper	NOUN
alkej-464	87	15	,	,	PUNCT
alkej-464	87	16	the	the	DET
alkej-464	87	17	ecg	ecg	PROPN
alkej-464	87	18	signals	signal	NOUN
alkej-464	87	19	were	be	AUX
alkej-464	87	20	filtered	filter	VERB
alkej-464	87	21	and	and	CCONJ
alkej-464	87	22	evaluated	evaluate	VERB
alkej-464	87	23	the	the	DET
alkej-464	87	24	overall	overall	ADJ
alkej-464	87	25	error	error	NOUN
alkej-464	87	26	of	of	ADP
alkej-464	87	27	the	the	DET
alkej-464	87	28	signal	signal	NOUN
alkej-464	87	29	and	and	CCONJ
alkej-464	87	30	the	the	DET
alkej-464	87	31	optimal	optimal	ADJ
alkej-464	87	32	filter	filter	NOUN
alkej-464	87	33	order	order	NOUN
alkej-464	87	34	.	.	PUNCT
alkej-464	88	1	in	in	ADP
alkej-464	88	2	this	this	DET
alkej-464	88	3	paper	paper	NOUN
alkej-464	88	4	,	,	PUNCT
alkej-464	88	5	matlab	matlab	PROPN
alkej-464	88	6	was	be	AUX
alkej-464	88	7	used	use	VERB
alkej-464	88	8	to	to	PART
alkej-464	88	9	estimate	estimate	VERB
alkej-464	88	10	the	the	DET
alkej-464	88	11	performance	performance	NOUN
alkej-464	88	12	of	of	ADP
alkej-464	88	13	the	the	DET
alkej-464	88	14	proposed	propose	VERB
alkej-464	88	15	filters	filter	NOUN
alkej-464	88	16	,	,	PUNCT
alkej-464	88	17	and	and	CCONJ
alkej-464	88	18	experimented	experiment	VERB
alkej-464	88	19	with	with	ADP
alkej-464	88	20	two	two	NUM
alkej-464	88	21	kinds	kind	NOUN
alkej-464	88	22	of	of	ADP
alkej-464	88	23	filters	filter	NOUN
alkej-464	88	24	.	.	PUNCT
alkej-464	89	1	the	the	DET
alkej-464	89	2	mean	mean	ADJ
alkej-464	89	3			NOUN
alkej-464	89	4	x	x	SYM
alkej-464	89	5	and	and	CCONJ
alkej-464	89	6	standard	standard	ADJ
alkej-464	89	7	std	std	NOUN
alkej-464	89	8	deviation	deviation	NOUN
alkej-464	89	9	were	be	AUX
alkej-464	89	10	calculated	calculate	VERB
alkej-464	89	11	.	.	PUNCT
alkej-464	90	1	the	the	DET
alkej-464	90	2	mean	mean	NOUN
alkej-464	90	3	which	which	PRON
alkej-464	90	4	is	be	AUX
alkej-464	90	5	the	the	DET
alkej-464	90	6	average	average	ADJ
alkej-464	90	7	value	value	NOUN
alkej-464	90	8	of	of	ADP
alkej-464	90	9	a	a	DET
alkej-464	90	10	signal	signal	NOUN
alkej-464	90	11	.	.	PUNCT
alkej-464	91	1	it	it	PRON
alkej-464	91	2	is	be	AUX
alkej-464	91	3	found	find	VERB
alkej-464	91	4	by	by	ADP
alkej-464	91	5	adding	add	VERB
alkej-464	91	6	all	all	PRON
alkej-464	91	7	of	of	ADP
alkej-464	91	8	the	the	DET
alkej-464	91	9	samples	sample	NOUN
alkej-464	91	10	together	together	ADV
alkej-464	91	11	,	,	PUNCT
alkej-464	91	12	and	and	CCONJ
alkej-464	91	13	divide	divide	VERB
alkej-464	91	14	by	by	ADP
alkej-464	91	15	n.	n.	NOUN
alkej-464	91	16	it	it	PRON
alkej-464	91	17	looks	look	VERB
alkej-464	91	18	like	like	ADP
alkej-464	91	19	this	this	PRON
alkej-464	91	20	in	in	ADP
alkej-464	91	21	mathematical	mathematical	ADJ
alkej-464	91	22			PROPN
alkej-464	91	23			PROPN
alkej-464	91	24			PROPN
alkej-464	91	25			NOUN
alkej-464	91	26			NOUN
alkej-464	91	27	1	1	NUM
alkej-464	91	28	0	0	NUM
alkej-464	91	29	1	1	NUM
alkej-464	91	30	n	n	NOUN
alkej-464	91	31	i	i	PRON
alkej-464	91	32	ixn	ixn	VERB
alkej-464	91	33	x	x	SYM
alkej-464	91	34	…	…	PUNCT
alkej-464	91	35	(	(	PUNCT
alkej-464	91	36	18	18	NUM
alkej-464	91	37	)	)	PUNCT
alkej-464	91	38	std	std	NOUN
alkej-464	91	39	:	:	PUNCT
alkej-464	91	40	standard	standard	ADJ
alkej-464	91	41	deviation	deviation	NOUN
alkej-464	91	42	the	the	DET
alkej-464	91	43	standard	standard	ADJ
alkej-464	91	44	deviation	deviation	NOUN
alkej-464	91	45	s	s	VERB
alkej-464	91	46	of	of	ADP
alkej-464	91	47	a	a	DET
alkej-464	91	48	data	data	NOUN
alkej-464	91	49	vector	vector	NOUN
alkej-464	91	50	x	x	NOUN
alkej-464	91	51	:	:	PUNCT
alkej-464	91	52	2/1	2/1	NUM
alkej-464	91	53	1	1	NUM
alkej-464	91	54	0	0	NUM
alkej-464	91	55	2	2	NUM
alkej-464	91	56	1	1	NUM
alkej-464	91	57			PROPN
alkej-464	91	58			PROPN
alkej-464	91	59			NOUN
alkej-464	92	1			PROPN
alkej-464	92	2			PROPN
alkej-464	92	3			PROPN
alkej-464	93	1			PROPN
alkej-464	93	2			NOUN
alkej-464	93	3			PROPN
alkej-464	93	4			NOUN
alkej-464	93	5			PROPN
alkej-464	93	6			PROPN
alkej-464	93	7			PROPN
alkej-464	93	8			NOUN
alkej-464	93	9			PROPN
alkej-464	93	10			X
alkej-464	93	11			VERB
alkej-464	93	12			NUM
alkej-464	93	13	n	n	VERB
alkej-464	93	14	i	i	PRON
alkej-464	93	15	i	i	VERB
alkej-464	93	16	x	x	VERB
alkej-464	93	17	n	n	ADV
alkej-464	93	18	std	std	VERB
alkej-464	93	19	x	x	SYM
alkej-464	93	20	…	…	PUNCT
alkej-464	93	21	(	(	PUNCT
alkej-464	93	22	19	19	NUM
alkej-464	93	23	)	)	PUNCT
alkej-464	93	24	where	where	SCONJ
alkej-464	93	25			X
alkej-464	93	26			NUM
alkej-464	93	27			VERB
alkej-464	93	28			PRON
alkej-464	93	29	n	n	NUM
alkej-464	93	30	i	i	PRON
alkej-464	93	31	ixn	ixn	ADJ
alkej-464	93	32	x	x	SYM
alkej-464	93	33	1	1	NUM
alkej-464	93	34	1	1	NUM
alkej-464	93	35	this	this	DET
alkej-464	93	36	page	page	NOUN
alkej-464	93	37	was	be	AUX
alkej-464	93	38	created	create	VERB
alkej-464	93	39	using	use	VERB
alkej-464	93	40	nitro	nitro	NOUN
alkej-464	93	41	pdf	pdf	NOUN
alkej-464	93	42	trial	trial	NOUN
alkej-464	93	43	software	software	NOUN
alkej-464	93	44	.	.	PUNCT
alkej-464	94	1	to	to	PART
alkej-464	94	2	purchase	purchase	VERB
alkej-464	94	3	,	,	PUNCT
alkej-464	94	4	go	go	VERB
alkej-464	94	5	to	to	ADP
alkej-464	94	6	http://www.nitropdf.com/	http://www.nitropdf.com/	NOUN
alkej-464	94	7	http://www.nitropdf.com/	http://www.nitropdf.com/	NOUN
alkej-464	94	8	noor	noor	PROPN
alkej-464	94	9	k.	k.	PROPN
alkej-464	94	10	muhsin	muhsin	PROPN
alkej-464	94	11	al	al	PROPN
alkej-464	94	12	-	-	PUNCT
alkej-464	94	13	khwarizmi	khwarizmi	PROPN
alkej-464	94	14	engineering	engineering	NOUN
alkej-464	94	15	journal	journal	PROPN
alkej-464	94	16	,	,	PUNCT
alkej-464	94	17	vol	vol	NOUN
alkej-464	94	18	.	.	PROPN
alkej-464	95	1	7	7	NUM
alkej-464	95	2	,	,	PUNCT
alkej-464	95	3	no	no	INTJ
alkej-464	95	4	.	.	NOUN
alkej-464	95	5	1	1	NUM
alkej-464	95	6	,	,	PUNCT
alkej-464	95	7	pp	pp	ADV
alkej-464	95	8	13	13	NUM
alkej-464	95	9	21	21	NUM
alkej-464	95	10	(	(	PUNCT
alkej-464	95	11	2011	2011	NUM
alkej-464	95	12	)	)	PUNCT
alkej-464	95	13	17	17	NUM
alkej-464	95	14	and	and	CCONJ
alkej-464	95	15	is	be	AUX
alkej-464	96	1	the	the	DET
alkej-464	96	2	n	n	ADJ
alkej-464	96	3	number	number	NOUN
alkej-464	96	4	of	of	ADP
alkej-464	96	5	elements	element	NOUN
alkej-464	96	6	in	in	ADP
alkej-464	96	7	the	the	DET
alkej-464	96	8	sample	sample	NOUN
alkej-464	96	9	.	.	PUNCT
alkej-464	97	1	the	the	DET
alkej-464	97	2	two	two	NUM
alkej-464	97	3	forms	form	NOUN
alkej-464	97	4	of	of	ADP
alkej-464	97	5	the	the	DET
alkej-464	97	6	equation	equation	NOUN
alkej-464	97	7	differ	differ	VERB
alkej-464	97	8	only	only	ADV
alkej-464	97	9	in	in	ADP
alkej-464	97	10	n-1	n-1	NOUN
alkej-464	97	11	versus	versus	ADP
alkej-464	97	12	n	n	NOUN
alkej-464	97	13	in	in	ADP
alkej-464	97	14	the	the	DET
alkej-464	97	15	divisor	divisor	NOUN
alkej-464	97	16	.	.	PUNCT
alkej-464	98	1	the	the	DET
alkej-464	98	2	results	result	NOUN
alkej-464	98	3	are	be	AUX
alkej-464	98	4	shown	show	VERB
alkej-464	98	5	in	in	ADP
alkej-464	98	6	table	table	NOUN
alkej-464	98	7	(	(	PUNCT
alkej-464	98	8	2	2	NUM
alkej-464	98	9	):	):	PUNCT
alkej-464	98	10	table	table	NOUN
alkej-464	98	11	2	2	NUM
alkej-464	98	12	,	,	PUNCT
alkej-464	98	13	fir	fir	NOUN
alkej-464	98	14	and	and	CCONJ
alkej-464	98	15	iir	iir	NOUN
alkej-464	98	16	filter	filter	NOUN
alkej-464	98	17	results	result	VERB
alkej-464	98	18	.	.	PUNCT
alkej-464	99	1	hfn	hfn	NOUN
alkej-464	99	2	removal	removal	PROPN
alkej-464	99	3	lfn	lfn	PROPN
alkej-464	99	4	removal	removal	PROPN
alkej-464	99	5	output	output	NOUN
alkej-464	99	6	(	(	PUNCT
alkej-464	99	7	rls	rls	PROPN
alkej-464	99	8	)	)	PUNCT
alkej-464	99	9	output	output	NOUN
alkej-464	99	10	(	(	PUNCT
alkej-464	99	11	rls	rls	PROPN
alkej-464	99	12	)	)	PUNCT
alkej-464	99	13	output	output	NOUN
alkej-464	99	14	(	(	PUNCT
alkej-464	99	15	rls	rls	PROPN
alkej-464	99	16	)	)	PUNCT
alkej-464	99	17	output	output	NOUN
alkej-464	99	18	(	(	PUNCT
alkej-464	99	19	rls	rls	PROPN
alkej-464	99	20	)	)	PUNCT
alkej-464	99	21	fir	fir	NOUN
alkej-464	99	22	iir	iir	PROPN
alkej-464	99	23	fir	fir	PROPN
alkej-464	99	24	iir	iir	PROPN
alkej-464	99	25	mean	mean	VERB
alkej-464	99	26	desired	desire	VERB
alkej-464	99	27	signal	signal	NOUN
alkej-464	99	28	-0.528	-0.528	X
alkej-464	99	29	-0.176	-0.176	NOUN
alkej-464	99	30	-0.798	-0.798	PUNCT
alkej-464	99	31	-0.435	-0.435	PUNCT
alkej-464	99	32	output	output	NOUN
alkej-464	99	33	signal	signal	NOUN
alkej-464	99	34	-0.489	-0.489	ADP
alkej-464	99	35	0.023	0.023	NUM
alkej-464	99	36	-0.713	-0.713	SYM
alkej-464	99	37	-0.034	-0.034	PUNCT
alkej-464	99	38	std	std	NOUN
alkej-464	99	39	desired	desire	VERB
alkej-464	99	40	signal	signal	VERB
alkej-464	99	41	0.774	0.774	NUM
alkej-464	99	42	0.723	0.723	NUM
alkej-464	99	43	0.785	0.785	NUM
alkej-464	99	44	0.772	0.772	NUM
alkej-464	99	45	output	output	NOUN
alkej-464	99	46	signal	signal	NOUN
alkej-464	99	47	0.776	0.776	NUM
alkej-464	99	48	0.536	0.536	NUM
alkej-464	99	49	0.847	0.847	NUM
alkej-464	99	50	0.787	0.787	NUM
alkej-464	99	51	from	from	ADP
alkej-464	99	52	the	the	DET
alkej-464	99	53	above	above	ADJ
alkej-464	99	54	table	table	NOUN
alkej-464	99	55	the	the	DET
alkej-464	99	56	means	mean	NOUN
alkej-464	99	57	of	of	ADP
alkej-464	99	58	both	both	CCONJ
alkej-464	99	59	fir	fir	NOUN
alkej-464	99	60	filter	filter	NOUN
alkej-464	99	61	causes	cause	VERB
alkej-464	99	62	to	to	PART
alkej-464	99	63	remove	remove	VERB
alkej-464	99	64	the	the	DET
alkej-464	99	65	hfn	hfn	NOUN
alkej-464	99	66	and	and	CCONJ
alkej-464	99	67	lfn	lfn	PROPN
alkej-464	99	68	is	be	AUX
alkej-464	99	69	smaller	small	ADJ
alkej-464	99	70	value	value	NOUN
alkej-464	99	71	and	and	CCONJ
alkej-464	99	72	approach	approach	NOUN
alkej-464	99	73	to	to	ADP
alkej-464	99	74	the	the	DET
alkej-464	99	75	desired	desire	VERB
alkej-464	99	76	values	value	NOUN
alkej-464	99	77	of	of	ADP
alkej-464	99	78	the	the	DET
alkej-464	99	79	output	output	NOUN
alkej-464	99	80	as	as	SCONJ
alkej-464	99	81	shown	show	VERB
alkej-464	99	82	in	in	ADP
alkej-464	99	83	figure	figure	NOUN
alkej-464	99	84	3	3	NUM
alkej-464	99	85	and	and	CCONJ
alkej-464	99	86	4	4	NUM
alkej-464	99	87	respectively	respectively	ADV
alkej-464	99	88	.	.	PUNCT
alkej-464	100	1	while	while	SCONJ
alkej-464	100	2	iir	iir	PROPN
alkej-464	100	3	filter	filter	NOUN
alkej-464	100	4	means	mean	VERB
alkej-464	100	5	of	of	ADP
alkej-464	100	6	the	the	DET
alkej-464	100	7	output	output	NOUN
alkej-464	100	8	are	be	AUX
alkej-464	100	9	small	small	ADJ
alkej-464	100	10	values	value	NOUN
alkej-464	100	11	and	and	CCONJ
alkej-464	100	12	less	less	ADJ
alkej-464	100	13	than	than	ADP
alkej-464	100	14	the	the	DET
alkej-464	100	15	desired	desire	VERB
alkej-464	100	16	signals	signal	NOUN
alkej-464	100	17	values	value	NOUN
alkej-464	100	18	as	as	SCONJ
alkej-464	100	19	shown	show	VERB
alkej-464	100	20	in	in	ADP
alkej-464	100	21	figure	figure	NOUN
alkej-464	100	22	5	5	NUM
alkej-464	100	23	and	and	CCONJ
alkej-464	100	24	6	6	NUM
alkej-464	100	25	.	.	PUNCT
alkej-464	100	26	to	to	PART
alkej-464	100	27	compare	compare	VERB
alkej-464	100	28	between	between	ADP
alkej-464	100	29	the	the	DET
alkej-464	100	30	standard	standard	ADJ
alkej-464	100	31	deviation	deviation	NOUN
alkej-464	100	32	of	of	ADP
alkej-464	100	33	the	the	DET
alkej-464	100	34	two	two	NUM
alkej-464	100	35	outputs	output	NOUN
alkej-464	100	36	the	the	DET
alkej-464	100	37	results	result	NOUN
alkej-464	100	38	shown	show	VERB
alkej-464	100	39	that	that	SCONJ
alkej-464	100	40	std	std	NOUN
alkej-464	100	41	of	of	ADP
alkej-464	100	42	fir	fir	NOUN
alkej-464	100	43	output	output	NOUN
alkej-464	100	44	of	of	ADP
alkej-464	100	45	hfn	hfn	NOUN
alkej-464	100	46	is	be	AUX
alkej-464	100	47	approximately	approximately	ADV
alkej-464	100	48	similar	similar	ADJ
alkej-464	100	49	to	to	ADP
alkej-464	100	50	std	std	NOUN
alkej-464	100	51	of	of	ADP
alkej-464	100	52	the	the	DET
alkej-464	100	53	desired	desire	VERB
alkej-464	100	54	signal	signal	NOUN
alkej-464	100	55	and	and	CCONJ
alkej-464	100	56	less	less	ADJ
alkej-464	100	57	than	than	ADP
alkej-464	100	58	of	of	ADP
alkej-464	100	59	iir	iir	PROPN
alkej-464	100	60	output	output	NOUN
alkej-464	100	61	std	std	NOUN
alkej-464	100	62	but	but	CCONJ
alkej-464	100	63	approximately	approximately	ADV
alkej-464	100	64	similar	similar	ADJ
alkej-464	100	65	to	to	ADP
alkej-464	100	66	std	std	NOUN
alkej-464	100	67	of	of	ADP
alkej-464	100	68	desired	desire	VERB
alkej-464	100	69	signal	signal	NOUN
alkej-464	100	70	that	that	PRON
alkej-464	100	71	mean	mean	VERB
alkej-464	100	72	that	that	SCONJ
alkej-464	100	73	the	the	DET
alkej-464	100	74	deviation	deviation	NOUN
alkej-464	100	75	of	of	ADP
alkej-464	100	76	the	the	DET
alkej-464	100	77	results	result	NOUN
alkej-464	100	78	from	from	ADP
alkej-464	100	79	the	the	DET
alkej-464	100	80	true	true	ADJ
alkej-464	100	81	curve	curve	NOUN
alkej-464	100	82	is	be	AUX
alkej-464	100	83	smaller	small	ADJ
alkej-464	100	84	in	in	ADP
alkej-464	100	85	case	case	NOUN
alkej-464	100	86	of	of	ADP
alkej-464	100	87	fir	fir	NOUN
alkej-464	100	88	filters	filter	NOUN
alkej-464	100	89	to	to	PART
alkej-464	100	90	remove	remove	VERB
alkej-464	100	91	both	both	DET
alkej-464	100	92	noises	noise	NOUN
alkej-464	100	93	than	than	SCONJ
alkej-464	100	94	the	the	DET
alkej-464	100	95	iir	iir	NOUN
alkej-464	100	96	filters	filter	VERB
alkej-464	100	97	.	.	PUNCT
alkej-464	101	1	fig.3	fig.3	ADJ
alkej-464	101	2	.	.	PUNCT
alkej-464	102	1	fir	fir	NOUN
alkej-464	102	2	filter	filter	NOUN
alkej-464	102	3	results	result	NOUN
alkej-464	102	4	to	to	PART
alkej-464	102	5	remove	remove	VERB
alkej-464	102	6	hfn	hfn	NOUN
alkej-464	102	7	.	.	PUNCT
alkej-464	103	1	fig.4	fig.4	PROPN
alkej-464	103	2	.	.	PUNCT
alkej-464	104	1	fir	fir	NOUN
alkej-464	104	2	filter	filter	NOUN
alkej-464	104	3	results	result	NOUN
alkej-464	104	4	to	to	PART
alkej-464	104	5	remove	remove	VERB
alkej-464	104	6	lfn	lfn	PROPN
alkej-464	104	7	.	.	PROPN
alkej-464	104	8	0	0	NUM
alkej-464	105	1	20	20	NUM
alkej-464	105	2	40	40	NUM
alkej-464	105	3	60	60	NUM
alkej-464	105	4	80	80	NUM
alkej-464	105	5	100	100	NUM
alkej-464	105	6	120	120	NUM
alkej-464	105	7	140	140	NUM
alkej-464	105	8	160	160	NUM
alkej-464	105	9	180	180	NUM
alkej-464	105	10	200	200	NUM
alkej-464	105	11	-2.5	-2.5	NOUN
alkej-464	105	12	-2	-2	NOUN
alkej-464	105	13	-1.5	-1.5	NUM
alkej-464	105	14	-1	-1	PROPN
alkej-464	105	15	-0.5	-0.5	X
alkej-464	105	16	0	0	NUM
alkej-464	105	17	0.5	0.5	NUM
alkej-464	105	18	1	1	NUM
alkej-464	105	19	1.5	1.5	NUM
alkej-464	105	20	2	2	NUM
alkej-464	105	21	2.5	2.5	NUM
alkej-464	105	22	system	system	NOUN
alkej-464	105	23	output	output	NOUN
alkej-464	105	24	samples	sample	NOUN
alkej-464	105	25	t	t	PROPN
alkej-464	105	26	ru	ru	PROPN
alkej-464	105	27	e	e	PROPN
alkej-464	105	28	a	a	PROPN
alkej-464	105	29	n	n	NOUN
alkej-464	105	30	d	d	X
alkej-464	105	31	e	e	NOUN
alkej-464	105	32	s	s	X
alkej-464	105	33	ti	ti	NOUN
alkej-464	105	34	m	m	PROPN
alkej-464	105	35	a	a	PRON
alkej-464	105	36	te	te	X
alkej-464	105	37	d	d	X
alkej-464	105	38	o	o	X
alkej-464	105	39	u	u	NOUN
alkej-464	105	40	tp	tp	ADP
alkej-464	105	41	u	u	PROPN
alkej-464	105	42	t	t	NOUN
alkej-464	105	43	desired	desire	VERB
alkej-464	105	44	signal	signal	NOUN
alkej-464	105	45	output	output	NOUN
alkej-464	105	46	signal	signal	NOUN
alkej-464	105	47	0	0	NUM
alkej-464	105	48	20	20	NUM
alkej-464	105	49	40	40	NUM
alkej-464	105	50	60	60	NUM
alkej-464	105	51	80	80	NUM
alkej-464	105	52	100	100	NUM
alkej-464	105	53	120	120	NUM
alkej-464	105	54	140	140	NUM
alkej-464	105	55	160	160	NUM
alkej-464	105	56	180	180	NUM
alkej-464	105	57	200	200	NUM
alkej-464	105	58	-3	-3	INTJ
alkej-464	105	59	-2	-2	INTJ
alkej-464	105	60	-1	-1	SYM
alkej-464	105	61	0	0	NUM
alkej-464	105	62	1	1	NUM
alkej-464	105	63	2	2	NUM
alkej-464	105	64	3	3	NUM
alkej-464	105	65	4	4	NUM
alkej-464	105	66	system	system	NOUN
alkej-464	105	67	output	output	NOUN
alkej-464	105	68	samples	sample	NOUN
alkej-464	105	69	t	t	PROPN
alkej-464	105	70	ru	ru	PROPN
alkej-464	105	71	e	e	PROPN
alkej-464	105	72	a	a	PROPN
alkej-464	105	73	n	n	NOUN
alkej-464	105	74	d	d	X
alkej-464	105	75	e	e	NOUN
alkej-464	105	76	s	s	X
alkej-464	105	77	ti	ti	NOUN
alkej-464	105	78	m	m	PROPN
alkej-464	105	79	a	a	DET
alkej-464	105	80	te	te	X
alkej-464	105	81	d	d	X
alkej-464	105	82	o	o	X
alkej-464	105	83	u	u	NOUN
alkej-464	105	84	tp	tp	ADP
alkej-464	105	85	u	u	NOUN
alkej-464	105	86	t	t	PROPN
alkej-464	105	87	0	0	NUM
alkej-464	105	88	20	20	NUM
alkej-464	105	89	40	40	NUM
alkej-464	105	90	60	60	NUM
alkej-464	105	91	80	80	NUM
alkej-464	105	92	100	100	NUM
alkej-464	105	93	120	120	NUM
alkej-464	105	94	140	140	NUM
alkej-464	105	95	160	160	NUM
alkej-464	105	96	180	180	NUM
alkej-464	105	97	200	200	NUM
alkej-464	105	98	-2	-2	NOUN
alkej-464	105	99	-1	-1	SYM
alkej-464	105	100	0	0	NUM
alkej-464	105	101	1	1	NUM
alkej-464	105	102	2	2	NUM
alkej-464	105	103	3	3	NUM
alkej-464	105	104	4	4	NUM
alkej-464	105	105	system	system	NOUN
alkej-464	105	106	output	output	NOUN
alkej-464	105	107	samples	sample	NOUN
alkej-464	105	108	t	t	PROPN
alkej-464	105	109	ru	ru	PROPN
alkej-464	105	110	e	e	PROPN
alkej-464	105	111	a	a	PROPN
alkej-464	105	112	n	n	NOUN
alkej-464	105	113	d	d	X
alkej-464	105	114	e	e	NOUN
alkej-464	105	115	s	s	X
alkej-464	105	116	ti	ti	NOUN
alkej-464	105	117	m	m	PROPN
alkej-464	105	118	a	a	DET
alkej-464	105	119	te	te	X
alkej-464	105	120	d	d	X
alkej-464	105	121	o	o	X
alkej-464	105	122	u	u	NOUN
alkej-464	105	123	tp	tp	ADP
alkej-464	105	124	u	u	PROPN
alkej-464	105	125	t	t	NOUN
alkej-464	105	126	this	this	DET
alkej-464	105	127	page	page	NOUN
alkej-464	105	128	was	be	AUX
alkej-464	105	129	created	create	VERB
alkej-464	105	130	using	use	VERB
alkej-464	105	131	nitro	nitro	NOUN
alkej-464	105	132	pdf	pdf	NOUN
alkej-464	105	133	trial	trial	NOUN
alkej-464	105	134	software	software	NOUN
alkej-464	105	135	.	.	PUNCT
alkej-464	106	1	to	to	PART
alkej-464	106	2	purchase	purchase	VERB
alkej-464	106	3	,	,	PUNCT
alkej-464	106	4	go	go	VERB
alkej-464	106	5	to	to	ADP
alkej-464	106	6	http://www.nitropdf.com/	http://www.nitropdf.com/	NOUN
alkej-464	106	7	http://www.nitropdf.com/	http://www.nitropdf.com/	NOUN
alkej-464	106	8	noor	noor	PROPN
alkej-464	106	9	k.	k.	PROPN
alkej-464	106	10	muhsin	muhsin	PROPN
alkej-464	106	11	al	al	PROPN
alkej-464	106	12	-	-	PUNCT
alkej-464	106	13	khwarizmi	khwarizmi	PROPN
alkej-464	106	14	engineering	engineering	NOUN
alkej-464	106	15	journal	journal	PROPN
alkej-464	106	16	,	,	PUNCT
alkej-464	106	17	vol	vol	NOUN
alkej-464	106	18	.	.	PROPN
alkej-464	107	1	7	7	NUM
alkej-464	107	2	,	,	PUNCT
alkej-464	107	3	no	no	INTJ
alkej-464	107	4	.	.	NOUN
alkej-464	107	5	1	1	NUM
alkej-464	107	6	,	,	PUNCT
alkej-464	107	7	pp	pp	ADV
alkej-464	107	8	13	13	NUM
alkej-464	107	9	21	21	NUM
alkej-464	107	10	(	(	PUNCT
alkej-464	107	11	2011	2011	NUM
alkej-464	107	12	)	)	PUNCT
alkej-464	107	13	fig.5	fig.5	PROPN
alkej-464	107	14	.	.	PUNCT
alkej-464	108	1	iir	iir	PROPN
alkej-464	108	2	filter	filter	NOUN
alkej-464	108	3	results	result	NOUN
alkej-464	108	4	to	to	PART
alkej-464	108	5	remove	remove	VERB
alkej-464	108	6	hfn	hfn	NOUN
alkej-464	108	7	.	.	PUNCT
alkej-464	109	1	fig.6	fig.6	PROPN
alkej-464	109	2	.	.	PUNCT
alkej-464	110	1	iir	iir	PROPN
alkej-464	110	2	filter	filter	NOUN
alkej-464	110	3	results	result	NOUN
alkej-464	110	4	to	to	PART
alkej-464	110	5	remove	remove	VERB
alkej-464	110	6	lfn	lfn	PROPN
alkej-464	110	7	.	.	PUNCT
alkej-464	110	8	b.	b.	PROPN
alkej-464	110	9	error	error	NOUN
alkej-464	110	10	calculations	calculation	VERB
alkej-464	110	11	the	the	DET
alkej-464	110	12	error	error	NOUN
alkej-464	110	13	curves	curve	NOUN
alkej-464	110	14	were	be	AUX
alkej-464	110	15	calculated	calculate	VERB
alkej-464	110	16	as	as	ADP
alkej-464	110	17	and	and	CCONJ
alkej-464	110	18	ploted	plot	VERB
alkej-464	110	19	as	as	SCONJ
alkej-464	110	20	shown	show	VERB
alkej-464	110	21	in	in	ADP
alkej-464	110	22	figures	figure	NOUN
alkej-464	110	23	6,7,8	6,7,8	NUM
alkej-464	110	24	and	and	CCONJ
alkej-464	110	25	9	9	NUM
alkej-464	110	26	,	,	PUNCT
alkej-464	110	27	respectively	respectively	ADV
alkej-464	110	28	.	.	PUNCT
alkej-464	111	1	(	(	PUNCT
alkej-464	111	2	the	the	DET
alkej-464	111	3	logarithmic	logarithmic	ADJ
alkej-464	111	4	scale	scale	NOUN
alkej-464	111	5	is	be	AUX
alkej-464	111	6	used	use	VERB
alkej-464	111	7	to	to	PART
alkej-464	111	8	display	display	VERB
alkej-464	111	9	better	well	ADV
alkej-464	111	10	the	the	DET
alkej-464	111	11	minor	minor	ADJ
alkej-464	111	12	differences	difference	NOUN
alkej-464	111	13	between	between	ADP
alkej-464	111	14	the	the	DET
alkej-464	111	15	spectrograms	spectrogram	NOUN
alkej-464	111	16	.	.	PUNCT
alkej-464	111	17	)	)	PUNCT
alkej-464	112	1	it	it	PRON
alkej-464	112	2	is	be	AUX
alkej-464	112	3	seen	see	VERB
alkej-464	112	4	that	that	SCONJ
alkej-464	112	5	the	the	DET
alkej-464	112	6	frequency	frequency	NOUN
alkej-464	112	7	components	component	NOUN
alkej-464	112	8	of	of	ADP
alkej-464	112	9	the	the	DET
alkej-464	112	10	hfn	hfn	NOUN
alkej-464	112	11	have	have	AUX
alkej-464	112	12	been	be	AUX
alkej-464	112	13	suppressed	suppress	VERB
alkej-464	112	14	by	by	ADP
alkej-464	112	15	using	use	VERB
alkej-464	112	16	fir	fir	NOUN
alkej-464	112	17	filter	filter	NOUN
alkej-464	112	18	rather	rather	ADV
alkej-464	112	19	than	than	ADP
alkej-464	112	20	the	the	DET
alkej-464	112	21	iir	iir	PROPN
alkej-464	112	22	filter	filter	NOUN
alkej-464	112	23	according	accord	VERB
alkej-464	112	24	to	to	ADP
alkej-464	112	25	the	the	DET
alkej-464	112	26	following	follow	VERB
alkej-464	112	27	calculations	calculation	NOUN
alkej-464	112	28	of	of	ADP
alkej-464	112	29	mean	mean	NOUN
alkej-464	112	30	and	and	CCONJ
alkej-464	112	31	std	std	NOUN
alkej-464	112	32	that	that	PRON
alkej-464	112	33	shown	show	VERB
alkej-464	112	34	in	in	ADP
alkej-464	112	35	table	table	NOUN
alkej-464	112	36	3	3	NUM
alkej-464	112	37	.	.	PUNCT
alkej-464	112	38	table	table	NOUN
alkej-464	112	39	3	3	NUM
alkej-464	112	40	,	,	PUNCT
alkej-464	112	41	error	error	NOUN
alkej-464	112	42	curves	curve	NOUN
alkej-464	112	43	calculations	calculation	NOUN
alkej-464	112	44	.	.	PUNCT
alkej-464	113	1	hfn	hfn	PROPN
alkej-464	113	2	removal	removal	NOUN
alkej-464	113	3	lfn	lfn	PROPN
alkej-464	113	4	removal	removal	NOUN
alkej-464	113	5	error	error	NOUN
alkej-464	113	6	(	(	PUNCT
alkej-464	113	7	rls	rls	PROPN
alkej-464	113	8	)	)	PUNCT
alkej-464	113	9	error	error	NOUN
alkej-464	113	10	(	(	PUNCT
alkej-464	113	11	rls	rls	PROPN
alkej-464	113	12	)	)	PUNCT
alkej-464	113	13	error	error	NOUN
alkej-464	113	14	(	(	PUNCT
alkej-464	113	15	rls	rls	PROPN
alkej-464	113	16	)	)	PUNCT
alkej-464	113	17	error	error	NOUN
alkej-464	113	18	(	(	PUNCT
alkej-464	113	19	rls	rls	PROPN
alkej-464	113	20	)	)	PUNCT
alkej-464	113	21	fir	fir	NOUN
alkej-464	113	22	iir	iir	PROPN
alkej-464	113	23	fir	fir	PROPN
alkej-464	113	24	iir	iir	PROPN
alkej-464	113	25	mean	mean	VERB
alkej-464	113	26	-0.547	-0.547	PUNCT
alkej-464	113	27	-0.1283	-0.1283	INTJ
alkej-464	113	28	-0.0592	-0.0592	PROPN
alkej-464	113	29	-0.4115	-0.4115	PUNCT
alkej-464	114	1	std	std	VERB
alkej-464	114	2	0.2879	0.2879	NUM
alkej-464	114	3	0.4973	0.4973	NUM
alkej-464	114	4	0.2609	0.2609	NUM
alkej-464	114	5	0.6174	0.6174	NUM
alkej-464	114	6	fig.7	fig.7	ADJ
alkej-464	114	7	.	.	PUNCT
alkej-464	115	1	error	error	NOUN
alkej-464	115	2	curve	curve	NOUN
alkej-464	115	3	of	of	ADP
alkej-464	115	4	hfn	hfn	NOUN
alkej-464	115	5	removal	removal	NOUN
alkej-464	115	6	using	use	VERB
alkej-464	115	7	fir	fir	NOUN
alkej-464	115	8	filter	filter	NOUN
alkej-464	115	9	.	.	PUNCT
alkej-464	116	1	fig.8	fig.8	PROPN
alkej-464	116	2	.	.	PUNCT
alkej-464	117	1	error	error	NOUN
alkej-464	117	2	curve	curve	NOUN
alkej-464	117	3	of	of	ADP
alkej-464	117	4	hfn	hfn	NOUN
alkej-464	117	5	removal	removal	NOUN
alkej-464	117	6	using	use	VERB
alkej-464	117	7	iir	iir	PROPN
alkej-464	117	8	filter	filter	NOUN
alkej-464	117	9	.	.	PUNCT
alkej-464	118	1	fig.9	fig.9	PROPN
alkej-464	118	2	.	.	PUNCT
alkej-464	118	3	error	error	NOUN
alkej-464	118	4	curve	curve	NOUN
alkej-464	118	5	of	of	ADP
alkej-464	118	6	lfn	lfn	PROPN
alkej-464	118	7	removal	removal	NOUN
alkej-464	118	8	using	use	VERB
alkej-464	118	9	fir	fir	NOUN
alkej-464	118	10	filter	filter	NOUN
alkej-464	118	11	.	.	PUNCT
alkej-464	119	1	0	0	NUM
alkej-464	120	1	20	20	NUM
alkej-464	120	2	40	40	NUM
alkej-464	120	3	60	60	NUM
alkej-464	120	4	80	80	NUM
alkej-464	120	5	100	100	NUM
alkej-464	120	6	120	120	NUM
alkej-464	120	7	140	140	NUM
alkej-464	120	8	160	160	NUM
alkej-464	120	9	180	180	NUM
alkej-464	120	10	200	200	NUM
alkej-464	120	11	-7	-7	NOUN
alkej-464	121	1	-6	-6	INTJ
alkej-464	121	2	-5	-5	INTJ
alkej-464	121	3	-4	-4	INTJ
alkej-464	121	4	-3	-3	INTJ
alkej-464	121	5	-2	-2	INTJ
alkej-464	121	6	-1	-1	SYM
alkej-464	121	7	0	0	NUM
alkej-464	121	8	1	1	NUM
alkej-464	121	9	2	2	NUM
alkej-464	121	10	3	3	NUM
alkej-464	121	11	system	system	NOUN
alkej-464	121	12	output	output	NOUN
alkej-464	121	13	samples	sample	NOUN
alkej-464	121	14	t	t	PROPN
alkej-464	121	15	ru	ru	PROPN
alkej-464	121	16	e	e	PROPN
alkej-464	121	17	an	an	PROPN
alkej-464	121	18	d	d	X
alkej-464	121	19	es	es	X
alkej-464	121	20	tim	tim	PROPN
alkej-464	121	21	at	at	ADP
alkej-464	121	22	ed	ed	PROPN
alkej-464	121	23	o	o	PROPN
alkej-464	121	24	ut	ut	PROPN
alkej-464	121	25	pu	pu	PROPN
alkej-464	121	26	t	t	PROPN
alkej-464	121	27	0	0	NUM
alkej-464	121	28	20	20	NUM
alkej-464	121	29	40	40	NUM
alkej-464	121	30	60	60	NUM
alkej-464	121	31	80	80	NUM
alkej-464	121	32	100	100	NUM
alkej-464	121	33	120	120	NUM
alkej-464	121	34	140	140	NUM
alkej-464	121	35	160	160	NUM
alkej-464	121	36	180	180	NUM
alkej-464	121	37	200	200	NUM
alkej-464	121	38	10	10	NUM
alkej-464	121	39	-4	-4	SYM
alkej-464	121	40	10	10	NUM
alkej-464	121	41	-3	-3	SYM
alkej-464	121	42	10	10	NUM
alkej-464	121	43	-2	-2	NOUN
alkej-464	122	1	10	10	NUM
alkej-464	122	2	-1	-1	SYM
alkej-464	122	3	10	10	NUM
alkej-464	122	4	0	0	NUM
alkej-464	122	5	10	10	NUM
alkej-464	122	6	1	1	NUM
alkej-464	122	7	error	error	NOUN
alkej-464	122	8	curve	curve	NOUN
alkej-464	122	9	e	e	PROPN
alkej-464	122	10	rro	rro	PROPN
alkej-464	122	11	r	r	PROPN
alkej-464	122	12	v	v	PROPN
alkej-464	122	13	al	al	PROPN
alkej-464	122	14	ue	ue	PROPN
alkej-464	122	15	0	0	NUM
alkej-464	122	16	20	20	NUM
alkej-464	122	17	40	40	NUM
alkej-464	122	18	60	60	NUM
alkej-464	122	19	80	80	NUM
alkej-464	122	20	100	100	NUM
alkej-464	122	21	120	120	NUM
alkej-464	122	22	140	140	NUM
alkej-464	122	23	160	160	NUM
alkej-464	122	24	180	180	NUM
alkej-464	122	25	200	200	NUM
alkej-464	122	26	10	10	NUM
alkej-464	122	27	-4	-4	SYM
alkej-464	122	28	10	10	NUM
alkej-464	122	29	-3	-3	SYM
alkej-464	122	30	10	10	NUM
alkej-464	122	31	-2	-2	NOUN
alkej-464	122	32	10	10	NUM
alkej-464	122	33	-1	-1	SYM
alkej-464	122	34	10	10	NUM
alkej-464	122	35	0	0	NUM
alkej-464	122	36	10	10	NUM
alkej-464	122	37	1	1	NUM
alkej-464	122	38	error	error	NOUN
alkej-464	122	39	curve	curve	NOUN
alkej-464	122	40	samples	sample	NOUN
alkej-464	122	41	e	e	X
alkej-464	122	42	rr	rr	NOUN
alkej-464	122	43	or	or	CCONJ
alkej-464	122	44	v	v	ADP
alkej-464	122	45	al	al	PROPN
alkej-464	122	46	ue	ue	PROPN
alkej-464	122	47	0	0	NUM
alkej-464	122	48	20	20	NUM
alkej-464	122	49	40	40	NUM
alkej-464	122	50	60	60	NUM
alkej-464	122	51	80	80	NUM
alkej-464	122	52	100	100	NUM
alkej-464	122	53	120	120	NUM
alkej-464	122	54	140	140	NUM
alkej-464	122	55	160	160	NUM
alkej-464	122	56	180	180	NUM
alkej-464	122	57	200	200	NUM
alkej-464	122	58	10	10	NUM
alkej-464	122	59	-4	-4	SYM
alkej-464	122	60	10	10	NUM
alkej-464	122	61	-3	-3	SYM
alkej-464	122	62	10	10	NUM
alkej-464	122	63	-2	-2	NOUN
alkej-464	122	64	10	10	NUM
alkej-464	122	65	-1	-1	SYM
alkej-464	122	66	10	10	NUM
alkej-464	122	67	0	0	NUM
alkej-464	122	68	10	10	NUM
alkej-464	122	69	1	1	NUM
alkej-464	122	70	error	error	NOUN
alkej-464	122	71	curve	curve	NOUN
alkej-464	122	72	samples	sample	NOUN
alkej-464	122	73	e	e	X
alkej-464	122	74	rr	rr	NOUN
alkej-464	122	75	or	or	CCONJ
alkej-464	122	76	v	v	ADP
alkej-464	122	77	al	al	PROPN
alkej-464	122	78	ue	ue	PROPN
alkej-464	122	79	0	0	NUM
alkej-464	122	80	20	20	NUM
alkej-464	122	81	40	40	NUM
alkej-464	122	82	60	60	NUM
alkej-464	122	83	80	80	NUM
alkej-464	122	84	100	100	NUM
alkej-464	122	85	120	120	NUM
alkej-464	122	86	140	140	NUM
alkej-464	122	87	160	160	NUM
alkej-464	122	88	180	180	NUM
alkej-464	122	89	200	200	NUM
alkej-464	122	90	10	10	NUM
alkej-464	122	91	-4	-4	SYM
alkej-464	122	92	10	10	NUM
alkej-464	122	93	-3	-3	SYM
alkej-464	122	94	10	10	NUM
alkej-464	122	95	-2	-2	NOUN
alkej-464	122	96	10	10	NUM
alkej-464	122	97	-1	-1	SYM
alkej-464	122	98	10	10	NUM
alkej-464	122	99	0	0	NUM
alkej-464	122	100	10	10	NUM
alkej-464	122	101	1	1	NUM
alkej-464	122	102	error	error	NOUN
alkej-464	122	103	curve	curve	NOUN
alkej-464	122	104	samples	sample	NOUN
alkej-464	122	105	e	e	X
alkej-464	122	106	rr	rr	NOUN
alkej-464	122	107	or	or	CCONJ
alkej-464	122	108	v	v	ADP
alkej-464	122	109	al	al	PROPN
alkej-464	122	110	ue	ue	PROPN
alkej-464	122	111	this	this	DET
alkej-464	122	112	page	page	NOUN
alkej-464	122	113	was	be	AUX
alkej-464	122	114	created	create	VERB
alkej-464	122	115	using	use	VERB
alkej-464	122	116	nitro	nitro	NOUN
alkej-464	122	117	pdf	pdf	NOUN
alkej-464	122	118	trial	trial	NOUN
alkej-464	122	119	software	software	NOUN
alkej-464	122	120	.	.	PUNCT
alkej-464	123	1	to	to	PART
alkej-464	123	2	purchase	purchase	VERB
alkej-464	123	3	,	,	PUNCT
alkej-464	123	4	go	go	VERB
alkej-464	123	5	to	to	ADP
alkej-464	123	6	http://www.nitropdf.com/	http://www.nitropdf.com/	NOUN
alkej-464	123	7	http://www.nitropdf.com/	http://www.nitropdf.com/	NOUN
alkej-464	123	8	noor	noor	PROPN
alkej-464	123	9	k.	k.	PROPN
alkej-464	123	10	muhsin	muhsin	PROPN
alkej-464	123	11	al	al	PROPN
alkej-464	123	12	-	-	PUNCT
alkej-464	123	13	khwarizmi	khwarizmi	PROPN
alkej-464	123	14	engineering	engineering	NOUN
alkej-464	123	15	journal	journal	PROPN
alkej-464	123	16	,	,	PUNCT
alkej-464	123	17	vol	vol	NOUN
alkej-464	123	18	.	.	PROPN
alkej-464	124	1	7	7	NUM
alkej-464	124	2	,	,	PUNCT
alkej-464	124	3	no	no	INTJ
alkej-464	124	4	.	.	NOUN
alkej-464	124	5	1	1	NUM
alkej-464	124	6	,	,	PUNCT
alkej-464	124	7	pp	pp	ADV
alkej-464	124	8	13	13	NUM
alkej-464	124	9	21	21	NUM
alkej-464	124	10	(	(	PUNCT
alkej-464	124	11	2011	2011	NUM
alkej-464	124	12	)	)	PUNCT
alkej-464	125	1	fig.10	fig.10	PRON
alkej-464	125	2	.	.	PUNCT
alkej-464	125	3	error	error	NOUN
alkej-464	125	4	curve	curve	NOUN
alkej-464	125	5	of	of	ADP
alkej-464	125	6	lfn	lfn	PROPN
alkej-464	125	7	removal	removal	NOUN
alkej-464	125	8	using	use	VERB
alkej-464	125	9	iir	iir	PROPN
alkej-464	125	10	filter	filter	NOUN
alkej-464	125	11	.	.	PUNCT
alkej-464	126	1	c.	c.	PROPN
alkej-464	126	2	comparison	comparison	NOUN
alkej-464	126	3	of	of	ADP
alkej-464	126	4	the	the	DET
alkej-464	126	5	filter	filter	NOUN
alkej-464	126	6	weights	weight	NOUN
alkej-464	126	7	and	and	CCONJ
alkej-464	126	8	estimated	estimate	VERB
alkej-464	126	9	weights	weight	NOUN
alkej-464	126	10	according	accord	VERB
alkej-464	126	11	to	to	ADP
alkej-464	126	12	the	the	DET
alkej-464	126	13	order	order	NOUN
alkej-464	126	14	of	of	ADP
alkej-464	126	15	the	the	DET
alkej-464	126	16	filter	filter	NOUN
alkej-464	126	17	the	the	DET
alkej-464	126	18	following	follow	VERB
alkej-464	126	19	figures	figure	NOUN
alkej-464	126	20	shows	show	VERB
alkej-464	126	21	a	a	DET
alkej-464	126	22	comparison	comparison	NOUN
alkej-464	126	23	between	between	ADP
alkej-464	126	24	the	the	DET
alkej-464	126	25	filter	filter	NOUN
alkej-464	126	26	weights	weight	NOUN
alkej-464	126	27	and	and	CCONJ
alkej-464	126	28	estimated	estimate	VERB
alkej-464	126	29	weights	weight	NOUN
alkej-464	126	30	for	for	ADP
alkej-464	126	31	both	both	DET
alkej-464	126	32	fir	fir	NOUN
alkej-464	126	33	and	and	CCONJ
alkej-464	126	34	iir	iir	NOUN
alkej-464	126	35	filters	filter	NOUN
alkej-464	126	36	.	.	PUNCT
alkej-464	127	1	as	as	SCONJ
alkej-464	127	2	illustrated	illustrate	VERB
alkej-464	127	3	in	in	ADP
alkej-464	127	4	section	section	NOUN
alkej-464	127	5	3.1	3.1	NUM
alkej-464	127	6	and	and	CCONJ
alkej-464	127	7	table	table	NOUN
alkej-464	127	8	1	1	NUM
alkej-464	127	9	the	the	DET
alkej-464	127	10	fir	fir	NOUN
alkej-464	127	11	filter	filter	NOUN
alkej-464	127	12	order	order	NOUN
alkej-464	127	13	(	(	PUNCT
alkej-464	127	14	5	5	NUM
alkej-464	127	15	)	)	PUNCT
alkej-464	127	16	while	while	SCONJ
alkej-464	127	17	iir	iir	NOUN
alkej-464	127	18	filter	filter	NOUN
alkej-464	127	19	order	order	NOUN
alkej-464	127	20	(	(	PUNCT
alkej-464	127	21	10	10	NUM
alkej-464	127	22	)	)	PUNCT
alkej-464	127	23	because	because	SCONJ
alkej-464	127	24	fir	fir	NOUN
alkej-464	127	25	filter	filter	NOUN
alkej-464	127	26	output	output	NOUN
alkej-464	127	27	is	be	AUX
alkej-464	127	28	calculated	calculate	VERB
alkej-464	127	29	using	use	VERB
alkej-464	127	30	the	the	DET
alkej-464	127	31	current	current	ADJ
alkej-464	127	32	and	and	CCONJ
alkej-464	127	33	past	past	ADJ
alkej-464	127	34	input	input	NOUN
alkej-464	127	35	,	,	PUNCT
alkej-464	127	36	but	but	CCONJ
alkej-464	127	37	not	not	PART
alkej-464	127	38	previous	previous	ADJ
alkej-464	127	39	values	value	NOUN
alkej-464	127	40	of	of	ADP
alkej-464	127	41	the	the	DET
alkej-464	127	42	output	output	NOUN
alkej-464	127	43	and	and	CCONJ
alkej-464	127	44	produce	produce	VERB
alkej-464	127	45	more	more	ADJ
alkej-464	127	46	placental	placental	ADJ
alkej-464	127	47	results	result	NOUN
alkej-464	127	48	at	at	ADP
alkej-464	127	49	the	the	DET
alkej-464	127	50	selected	select	VERB
alkej-464	127	51	order	order	NOUN
alkej-464	127	52	but	but	CCONJ
alkej-464	127	53	iir	iir	NOUN
alkej-464	127	54	filters	filter	NOUN
alkej-464	127	55	are	be	AUX
alkej-464	127	56	recursive	recursive	ADJ
alkej-464	127	57	filters	filter	NOUN
alkej-464	127	58	that	that	PRON
alkej-464	127	59	use	use	VERB
alkej-464	127	60	the	the	DET
alkej-464	127	61	surrounding	surround	VERB
alkej-464	127	62	input	input	NOUN
alkej-464	127	63	and	and	CCONJ
alkej-464	127	64	previous	previous	ADJ
alkej-464	127	65	output	output	NOUN
alkej-464	127	66	values	value	NOUN
alkej-464	127	67	together	together	ADV
alkej-464	127	68	and	and	CCONJ
alkej-464	127	69	the	the	DET
alkej-464	127	70	selected	select	VERB
alkej-464	127	71	order	order	NOUN
alkej-464	127	72	introduce	introduce	VERB
alkej-464	127	73	good	good	ADJ
alkej-464	127	74	results	result	NOUN
alkej-464	127	75	.	.	PUNCT
alkej-464	128	1	fig.11	fig.11	PROPN
alkej-464	128	2	.	.	PUNCT
alkej-464	128	3	comparison	comparison	NOUN
alkej-464	128	4	of	of	ADP
alkej-464	128	5	the	the	DET
alkej-464	128	6	fir	fir	NOUN
alkej-464	128	7	filter	filter	NOUN
alkej-464	128	8	weights	weight	NOUN
alkej-464	128	9	and	and	CCONJ
alkej-464	128	10	estimated	estimate	VERB
alkej-464	128	11	weights	weight	NOUN
alkej-464	128	12	(	(	PUNCT
alkej-464	128	13	hfn	hfn	NOUN
alkej-464	128	14	removal	removal	NOUN
alkej-464	128	15	)	)	PUNCT
alkej-464	128	16	.	.	PUNCT
alkej-464	129	1	fig.12	fig.12	NOUN
alkej-464	129	2	.	.	PUNCT
alkej-464	129	3	comparison	comparison	NOUN
alkej-464	129	4	of	of	ADP
alkej-464	129	5	the	the	DET
alkej-464	129	6	iir	iir	PROPN
alkej-464	129	7	filter	filter	NOUN
alkej-464	129	8	weights	weight	NOUN
alkej-464	129	9	and	and	CCONJ
alkej-464	129	10	estimated	estimate	VERB
alkej-464	129	11	weights	weight	NOUN
alkej-464	129	12	(	(	PUNCT
alkej-464	129	13	hfn	hfn	NOUN
alkej-464	129	14	removal	removal	NOUN
alkej-464	129	15	)	)	PUNCT
alkej-464	129	16	.	.	PUNCT
alkej-464	130	1	fig.13	fig.13	PROPN
alkej-464	130	2	.	.	PUNCT
alkej-464	131	1	comparison	comparison	NOUN
alkej-464	131	2	of	of	ADP
alkej-464	131	3	the	the	DET
alkej-464	131	4	fir	fir	NOUN
alkej-464	131	5	filter	filter	NOUN
alkej-464	131	6	weights	weight	NOUN
alkej-464	131	7	and	and	CCONJ
alkej-464	131	8	estimated	estimate	VERB
alkej-464	131	9	weights	weight	NOUN
alkej-464	131	10	(	(	PUNCT
alkej-464	131	11	lfn	lfn	PROPN
alkej-464	131	12	removal	removal	NOUN
alkej-464	131	13	)	)	PUNCT
alkej-464	131	14	.	.	PUNCT
alkej-464	132	1	fig.14	fig.14	PROPN
alkej-464	132	2	.	.	NOUN
alkej-464	132	3	comparison	comparison	NOUN
alkej-464	132	4	of	of	ADP
alkej-464	132	5	the	the	DET
alkej-464	132	6	iir	iir	PROPN
alkej-464	132	7	filter	filter	NOUN
alkej-464	132	8	weights	weight	NOUN
alkej-464	132	9	and	and	CCONJ
alkej-464	132	10	estimated	estimate	VERB
alkej-464	132	11	weights	weight	NOUN
alkej-464	132	12	(	(	PUNCT
alkej-464	132	13	lfn	lfn	PROPN
alkej-464	132	14	removal	removal	NOUN
alkej-464	132	15	)	)	PUNCT
alkej-464	132	16	.	.	PUNCT
alkej-464	133	1	4	4	X
alkej-464	133	2	.	.	X
alkej-464	133	3	conclusions	conclusion	NOUN
alkej-464	133	4	the	the	DET
alkej-464	133	5	ecg	ecg	PROPN
alkej-464	133	6	is	be	AUX
alkej-464	133	7	perhaps	perhaps	ADV
alkej-464	133	8	the	the	DET
alkej-464	133	9	most	most	ADV
alkej-464	133	10	commonly	commonly	ADV
alkej-464	133	11	known	know	VERB
alkej-464	133	12	,	,	PUNCT
alkej-464	133	13	recognized	recognize	VERB
alkej-464	133	14	,	,	PUNCT
alkej-464	133	15	and	and	CCONJ
alkej-464	133	16	used	use	VERB
alkej-464	133	17	biomedical	biomedical	ADJ
alkej-464	133	18	signal	signal	NOUN
alkej-464	133	19	that	that	PRON
alkej-464	133	20	corrupted	corrupt	VERB
alkej-464	133	21	with	with	ADP
alkej-464	133	22	several	several	ADJ
alkej-464	133	23	types	type	NOUN
alkej-464	133	24	of	of	ADP
alkej-464	133	25	noise	noise	NOUN
alkej-464	133	26	such	such	ADJ
alkej-464	133	27	as	as	ADP
alkej-464	133	28	hfn	hfn	NOUN
alkej-464	133	29	and	and	CCONJ
alkej-464	133	30	lfn	lfn	PROPN
alkej-464	133	31	.	.	PROPN
alkej-464	133	32	excessive	excessive	ADJ
alkej-464	133	33	filtering	filtering	NOUN
alkej-464	133	34	results	result	NOUN
alkej-464	133	35	in	in	ADP
alkej-464	133	36	a	a	DET
alkej-464	133	37	distorted	distort	VERB
alkej-464	133	38	signal	signal	NOUN
alkej-464	133	39	were	be	AUX
alkej-464	133	40	evaluated	evaluate	VERB
alkej-464	133	41	the	the	DET
alkej-464	133	42	performance	performance	NOUN
alkej-464	133	43	of	of	ADP
alkej-464	133	44	the	the	DET
alkej-464	133	45	rls	rls	NOUN
alkej-464	133	46	algorithm	algorithm	NOUN
alkej-464	133	47	for	for	ADP
alkej-464	133	48	these	these	DET
alkej-464	133	49	signals	signal	NOUN
alkej-464	133	50	.	.	PUNCT
alkej-464	134	1	this	this	DET
alkej-464	134	2	paper	paper	NOUN
alkej-464	134	3	can	can	AUX
alkej-464	134	4	be	be	AUX
alkej-464	134	5	illustrated	illustrate	VERB
alkej-464	134	6	that	that	SCONJ
alkej-464	134	7	the	the	DET
alkej-464	134	8	means	mean	NOUN
alkej-464	134	9	of	of	ADP
alkej-464	134	10	both	both	CCONJ
alkej-464	134	11	fir	fir	NOUN
alkej-464	134	12	filter	filter	NOUN
alkej-464	134	13	causes	cause	VERB
alkej-464	134	14	to	to	PART
alkej-464	134	15	remove	remove	VERB
alkej-464	134	16	the	the	DET
alkej-464	134	17	hfn	hfn	NOUN
alkej-464	134	18	and	and	CCONJ
alkej-464	134	19	lfn	lfn	PROPN
alkej-464	134	20	is	be	AUX
alkej-464	134	21	smaller	small	ADJ
alkej-464	134	22	value	value	NOUN
alkej-464	134	23	and	and	CCONJ
alkej-464	134	24	approach	approach	NOUN
alkej-464	134	25	to	to	ADP
alkej-464	134	26	the	the	DET
alkej-464	134	27	desired	desire	VERB
alkej-464	134	28	values	value	NOUN
alkej-464	134	29	of	of	ADP
alkej-464	134	30	the	the	DET
alkej-464	134	31	output	output	NOUN
alkej-464	134	32	,	,	PUNCT
alkej-464	134	33	while	while	SCONJ
alkej-464	134	34	iir	iir	PROPN
alkej-464	134	35	filter	filter	NOUN
alkej-464	134	36	means	mean	VERB
alkej-464	134	37	of	of	ADP
alkej-464	134	38	the	the	DET
alkej-464	134	39	output	output	NOUN
alkej-464	134	40	are	be	AUX
alkej-464	134	41	small	small	ADJ
alkej-464	134	42	values	value	NOUN
alkej-464	134	43	and	and	CCONJ
alkej-464	134	44	less	less	ADJ
alkej-464	134	45	than	than	ADP
alkej-464	134	46	the	the	DET
alkej-464	134	47	desired	desire	VERB
alkej-464	134	48	1	1	NUM
alkej-464	134	49	1.5	1.5	NUM
alkej-464	134	50	2	2	NUM
alkej-464	134	51	2.5	2.5	NUM
alkej-464	134	52	3	3	NUM
alkej-464	134	53	3.5	3.5	NUM
alkej-464	134	54	4	4	NUM
alkej-464	134	55	4.5	4.5	NUM
alkej-464	134	56	5	5	NUM
alkej-464	134	57	-0.4	-0.4	NUM
alkej-464	134	58	-0.2	-0.2	PROPN
alkej-464	134	59	0	0	NUM
alkej-464	134	60	0.2	0.2	NUM
alkej-464	134	61	0.4	0.4	NUM
alkej-464	134	62	0.6	0.6	NUM
alkej-464	134	63	0.8	0.8	NUM
alkej-464	134	64	1	1	NUM
alkej-464	134	65	samples	sample	NOUN
alkej-464	134	66	w	w	NOUN
alkej-464	134	67	ei	ei	NOUN
alkej-464	134	68	gh	gh	PROPN
alkej-464	134	69	ts	ts	ADP
alkej-464	134	70	v	v	PROPN
alkej-464	134	71	al	al	PROPN
alkej-464	134	72	ue	ue	PROPN
alkej-464	134	73	comparison	comparison	NOUN
alkej-464	134	74	of	of	ADP
alkej-464	134	75	the	the	DET
alkej-464	134	76	filter	filter	NOUN
alkej-464	134	77	weights	weight	NOUN
alkej-464	134	78	and	and	CCONJ
alkej-464	134	79	estimated	estimate	VERB
alkej-464	134	80	weights	weight	NOUN
alkej-464	134	81	filter	filter	NOUN
alkej-464	134	82	weights	weight	NOUN
alkej-464	134	83	estimated	estimate	VERB
alkej-464	134	84	filter	filter	NOUN
alkej-464	134	85	weights	weight	VERB
alkej-464	134	86	1	1	NUM
alkej-464	134	87	2	2	NUM
alkej-464	134	88	3	3	NUM
alkej-464	134	89	4	4	NUM
alkej-464	134	90	5	5	NUM
alkej-464	134	91	6	6	NUM
alkej-464	134	92	7	7	NUM
alkej-464	134	93	8	8	NUM
alkej-464	134	94	9	9	NUM
alkej-464	134	95	10	10	NUM
alkej-464	134	96	-0.15	-0.15	NUM
alkej-464	134	97	-0.1	-0.1	PROPN
alkej-464	134	98	-0.05	-0.05	NOUN
alkej-464	134	99	0	0	NUM
alkej-464	134	100	0.05	0.05	NUM
alkej-464	134	101	0.1	0.1	NUM
alkej-464	134	102	0.15	0.15	NUM
alkej-464	134	103	0.2	0.2	NUM
alkej-464	134	104	0.25	0.25	NUM
alkej-464	134	105	0.3	0.3	NUM
alkej-464	134	106	0.35	0.35	NUM
alkej-464	134	107	comparison	comparison	NOUN
alkej-464	134	108	of	of	ADP
alkej-464	134	109	the	the	DET
alkej-464	134	110	filter	filter	NOUN
alkej-464	134	111	weights	weight	NOUN
alkej-464	134	112	and	and	CCONJ
alkej-464	134	113	estimated	estimate	VERB
alkej-464	134	114	weights	weight	NOUN
alkej-464	134	115	filter	filter	NOUN
alkej-464	134	116	weights	weight	NOUN
alkej-464	134	117	estimated	estimate	VERB
alkej-464	134	118	filter	filter	NOUN
alkej-464	134	119	weights	weight	VERB
alkej-464	134	120	1	1	NUM
alkej-464	134	121	1.5	1.5	NUM
alkej-464	134	122	2	2	NUM
alkej-464	134	123	2.5	2.5	NUM
alkej-464	134	124	3	3	NUM
alkej-464	134	125	3.5	3.5	NUM
alkej-464	134	126	4	4	NUM
alkej-464	134	127	4.5	4.5	NUM
alkej-464	134	128	5	5	NUM
alkej-464	134	129	-1	-1	SYM
alkej-464	134	130	-0.5	-0.5	X
alkej-464	134	131	0	0	NUM
alkej-464	134	132	0.5	0.5	NUM
alkej-464	134	133	1	1	NUM
alkej-464	134	134	1.5	1.5	NUM
alkej-464	134	135	2	2	NUM
alkej-464	134	136	comparison	comparison	NOUN
alkej-464	134	137	of	of	ADP
alkej-464	134	138	the	the	DET
alkej-464	134	139	filter	filter	NOUN
alkej-464	134	140	weights	weight	NOUN
alkej-464	134	141	and	and	CCONJ
alkej-464	134	142	estimated	estimate	VERB
alkej-464	134	143	weights	weight	NOUN
alkej-464	134	144	filter	filter	NOUN
alkej-464	134	145	weights	weight	NOUN
alkej-464	134	146	estimated	estimate	VERB
alkej-464	134	147	filter	filter	NOUN
alkej-464	134	148	weights	weight	VERB
alkej-464	134	149	1	1	NUM
alkej-464	134	150	2	2	NUM
alkej-464	134	151	3	3	NUM
alkej-464	134	152	4	4	NUM
alkej-464	134	153	5	5	NUM
alkej-464	134	154	6	6	NUM
alkej-464	134	155	7	7	NUM
alkej-464	134	156	8	8	NUM
alkej-464	134	157	9	9	NUM
alkej-464	134	158	10	10	NUM
alkej-464	134	159	-0.05	-0.05	NUM
alkej-464	134	160	0	0	NUM
alkej-464	134	161	0.05	0.05	NUM
alkej-464	134	162	0.1	0.1	NUM
alkej-464	134	163	0.15	0.15	NUM
alkej-464	134	164	0.2	0.2	NUM
alkej-464	134	165	0.25	0.25	NUM
alkej-464	134	166	0.3	0.3	NUM
alkej-464	134	167	0.35	0.35	NUM
alkej-464	134	168	0.4	0.4	NUM
alkej-464	134	169	0.45	0.45	NUM
alkej-464	134	170	comparison	comparison	NOUN
alkej-464	134	171	of	of	ADP
alkej-464	134	172	the	the	DET
alkej-464	134	173	filter	filter	NOUN
alkej-464	134	174	weights	weight	NOUN
alkej-464	134	175	and	and	CCONJ
alkej-464	134	176	estimated	estimate	VERB
alkej-464	134	177	weights	weight	NOUN
alkej-464	134	178	filter	filter	NOUN
alkej-464	134	179	weights	weight	NOUN
alkej-464	134	180	estimated	estimate	VERB
alkej-464	134	181	filter	filter	NOUN
alkej-464	134	182	weights	weight	NOUN
alkej-464	134	183	this	this	DET
alkej-464	134	184	page	page	NOUN
alkej-464	134	185	was	be	AUX
alkej-464	134	186	created	create	VERB
alkej-464	134	187	using	use	VERB
alkej-464	134	188	nitro	nitro	NOUN
alkej-464	134	189	pdf	pdf	NOUN
alkej-464	134	190	trial	trial	NOUN
alkej-464	134	191	software	software	NOUN
alkej-464	134	192	.	.	PUNCT
alkej-464	135	1	to	to	PART
alkej-464	135	2	purchase	purchase	VERB
alkej-464	135	3	,	,	PUNCT
alkej-464	135	4	go	go	VERB
alkej-464	135	5	to	to	ADP
alkej-464	135	6	http://www.nitropdf.com/	http://www.nitropdf.com/	NOUN
alkej-464	135	7	http://www.nitropdf.com/	http://www.nitropdf.com/	NOUN
alkej-464	135	8	noor	noor	PROPN
alkej-464	135	9	k.	k.	PROPN
alkej-464	135	10	muhsin	muhsin	PROPN
alkej-464	135	11	al	al	PROPN
alkej-464	135	12	-	-	PUNCT
alkej-464	135	13	khwarizmi	khwarizmi	PROPN
alkej-464	135	14	engineering	engineering	NOUN
alkej-464	135	15	journal	journal	PROPN
alkej-464	135	16	,	,	PUNCT
alkej-464	135	17	vol	vol	NOUN
alkej-464	135	18	.	.	PROPN
alkej-464	136	1	7	7	NUM
alkej-464	136	2	,	,	PUNCT
alkej-464	136	3	no	no	INTJ
alkej-464	136	4	.	.	NOUN
alkej-464	136	5	1	1	NUM
alkej-464	136	6	,	,	PUNCT
alkej-464	136	7	pp	pp	ADV
alkej-464	136	8	13	13	NUM
alkej-464	136	9	21	21	NUM
alkej-464	136	10	(	(	PUNCT
alkej-464	136	11	2011	2011	NUM
alkej-464	136	12	)	)	PUNCT
alkej-464	136	13	20	20	NUM
alkej-464	136	14	signals	signal	NOUN
alkej-464	136	15	values	value	NOUN
alkej-464	136	16	,	,	PUNCT
alkej-464	136	17	but	but	CCONJ
alkej-464	136	18	the	the	DET
alkej-464	136	19	standard	standard	ADJ
alkej-464	136	20	deviation	deviation	NOUN
alkej-464	136	21	of	of	ADP
alkej-464	136	22	the	the	DET
alkej-464	136	23	two	two	NUM
alkej-464	136	24	outputs	output	NOUN
alkej-464	136	25	(	(	PUNCT
alkej-464	136	26	fir	fir	NOUN
alkej-464	136	27	output	output	NOUN
alkej-464	136	28	of	of	ADP
alkej-464	136	29	hfn	hfn	NOUN
alkej-464	136	30	)	)	PUNCT
alkej-464	136	31	is	be	AUX
alkej-464	136	32	approximately	approximately	ADV
alkej-464	136	33	similar	similar	ADJ
alkej-464	136	34	to	to	ADP
alkej-464	136	35	std	std	NOUN
alkej-464	136	36	of	of	ADP
alkej-464	136	37	the	the	DET
alkej-464	136	38	desired	desire	VERB
alkej-464	136	39	signal	signal	NOUN
alkej-464	136	40	and	and	CCONJ
alkej-464	136	41	less	less	ADJ
alkej-464	136	42	than	than	ADP
alkej-464	136	43	of	of	ADP
alkej-464	136	44	iir	iir	PROPN
alkej-464	136	45	output	output	PROPN
alkej-464	136	46	std	std	NOUN
alkej-464	136	47	which	which	PRON
alkej-464	136	48	is	be	AUX
alkej-464	136	49	similar	similar	ADJ
alkej-464	136	50	to	to	ADP
alkej-464	136	51	std	std	NOUN
alkej-464	136	52	of	of	ADP
alkej-464	136	53	desired	desire	VERB
alkej-464	136	54	signal	signal	NOUN
alkej-464	136	55	that	that	PRON
alkej-464	136	56	mean	mean	VERB
alkej-464	136	57	that	that	SCONJ
alkej-464	136	58	the	the	DET
alkej-464	136	59	deviation	deviation	NOUN
alkej-464	136	60	of	of	ADP
alkej-464	136	61	the	the	DET
alkej-464	136	62	results	result	NOUN
alkej-464	136	63	from	from	ADP
alkej-464	136	64	the	the	DET
alkej-464	136	65	true	true	ADJ
alkej-464	136	66	curve	curve	NOUN
alkej-464	136	67	is	be	AUX
alkej-464	136	68	smaller	small	ADJ
alkej-464	136	69	in	in	ADP
alkej-464	136	70	case	case	NOUN
alkej-464	136	71	of	of	ADP
alkej-464	136	72	fir	fir	NOUN
alkej-464	136	73	filters	filter	NOUN
alkej-464	136	74	to	to	PART
alkej-464	136	75	remove	remove	VERB
alkej-464	136	76	both	both	DET
alkej-464	136	77	noises	noise	NOUN
alkej-464	136	78	than	than	SCONJ
alkej-464	136	79	the	the	DET
alkej-464	136	80	iir	iir	NOUN
alkej-464	136	81	filters	filter	VERB
alkej-464	136	82	.	.	PUNCT
alkej-464	137	1	the	the	DET
alkej-464	137	2	fir	fir	ADJ
alkej-464	137	3	adaptive	adaptive	ADJ
alkej-464	137	4	filter	filter	NOUN
alkej-464	137	5	using	use	VERB
alkej-464	137	6	rls	rls	PROPN
alkej-464	137	7	algorithm	algorithm	NOUN
alkej-464	137	8	is	be	AUX
alkej-464	137	9	illustrated	illustrate	VERB
alkej-464	137	10	more	more	ADV
alkej-464	137	11	perfect	perfect	ADJ
alkej-464	137	12	results	result	NOUN
alkej-464	137	13	compared	compare	VERB
alkej-464	137	14	with	with	ADP
alkej-464	137	15	iir	iir	PROPN
alkej-464	137	16	filters	filter	NOUN
alkej-464	137	17	.	.	PUNCT
alkej-464	138	1	notation	notation	NOUN
alkej-464	138	2	s[n	s[n	NOUN
alkej-464	138	3	]	]	PUNCT
alkej-464	138	4	desired	desire	VERB
alkej-464	138	5	signal	signal	PROPN
alkej-464	138	6	n[n	n[n	PROPN
alkej-464	138	7	]	]	PUNCT
alkej-464	138	8	interference	interference	NOUN
alkej-464	138	9	signal	signal	PROPN
alkej-464	138	10	x[n	x[n	PROPN
alkej-464	138	11	]	]	X
alkej-464	138	12	the	the	DET
alkej-464	138	13	input	input	NOUN
alkej-464	138	14	of	of	ADP
alkej-464	138	15	the	the	DET
alkej-464	138	16	adaptive	adaptive	ADJ
alkej-464	138	17	filter	filter	NOUN
alkej-464	138	18	e[n	e[n	NOUN
alkej-464	138	19	]	]	PUNCT
alkej-464	138	20	error	error	NOUN
alkej-464	138	21	signal	signal	NOUN
alkej-464	138	22	y[n	y[n	NOUN
alkej-464	138	23	]	]	X
alkej-464	138	24	the	the	DET
alkej-464	138	25	output	output	NOUN
alkej-464	138	26	of	of	ADP
alkej-464	138	27	the	the	DET
alkej-464	138	28	adaptive	adaptive	ADJ
alkej-464	138	29	filter	filter	NOUN
alkej-464	138	30	y'[n	y'[n	PROPN
alkej-464	138	31	]	]	X
alkej-464	138	32	the	the	DET
alkej-464	138	33	output	output	NOUN
alkej-464	138	34	of	of	ADP
alkej-464	138	35	the	the	DET
alkej-464	138	36	adaptive	adaptive	ADJ
alkej-464	138	37	filter	filter	NOUN
alkej-464	138	38	vector	vector	NOUN
alkej-464	138	39	h'[n	h'[n	PROPN
alkej-464	138	40	]	]	PUNCT
alkej-464	138	41	filter	filter	NOUN
alkej-464	138	42	parameter	parameter	NOUN
alkej-464	138	43	vector	vector	PROPN
alkej-464	138	44	h[n	h[n	PROPN
alkej-464	138	45	]	]	PUNCT
alkej-464	138	46	filter	filter	NOUN
alkej-464	138	47	parameter	parameter	NOUN
alkej-464	138	48	n	n	CCONJ
alkej-464	138	49	,	,	PUNCT
alkej-464	138	50	k	k	PROPN
alkej-464	138	51	,	,	PUNCT
alkej-464	138	52	m	m	VERB
alkej-464	138	53	length	length	NOUN
alkej-464	138	54	of	of	ADP
alkej-464	138	55	the	the	DET
alkej-464	138	56	signal	signal	NOUN
alkej-464	138	57	k[n	k[n	PROPN
alkej-464	138	58	]	]	PUNCT
alkej-464	138	59	gain	gain	VERB
alkej-464	138	60	vector	vector	NOUN
alkej-464	138	61	a	a	DET
alkej-464	138	62	,	,	PUNCT
alkej-464	138	63	b	b	NOUN
alkej-464	138	64	,	,	PUNCT
alkej-464	138	65	c	c	X
alkej-464	138	66	,	,	PUNCT
alkej-464	138	67	d	d	NOUN
alkej-464	138	68	matrices	matrix	NOUN
alkej-464	138	69	of	of	ADP
alkej-464	138	70	proper	proper	ADJ
alkej-464	138	71	order	order	NOUN
alkej-464	138	72	]	]	X
alkej-464	139	1	[	[	X
alkej-464	139	2	nryy	nryy	NOUN
alkej-464	139	3			PROPN
alkej-464	139	4	an	an	DET
alkej-464	139	5	estimator	estimator	NOUN
alkej-464	139	6	for	for	ADP
alkej-464	139	7	the	the	DET
alkej-464	139	8	autocorrelation	autocorrelation	NOUN
alkej-464	139	9	matrix	matrix	NOUN
alkej-464	139	10	an	an	DET
alkej-464	139	11	estimator	estimator	NOUN
alkej-464	139	12	for	for	ADP
alkej-464	139	13	the	the	DET
alkej-464	139	14	autocorrelation	autocorrelation	NOUN
alkej-464	139	15	matrix	matrix	NOUN
alkej-464	139	16	p[n	p[n	NOUN
alkej-464	139	17	]	]	PUNCT
alkej-464	139	18	inversion	inversion	NOUN
alkej-464	139	19	of	of	ADP
alkej-464	139	20	an	an	DET
alkej-464	139	21	estimator	estimator	NOUN
alkej-464	139	22	for	for	ADP
alkej-464	139	23	the	the	DET
alkej-464	139	24	autocorrelation	autocorrelation	NOUN
alkej-464	139	25	matrix	matrix	NOUN
alkej-464	139	26	nr	nr	INTJ
alkej-464	139	27	xy	xy	PROPN
alkej-464	139	28	[	[	X
alkej-464	139	29	^	^	PUNCT
alkej-464	139	30	]	]	PUNCT
alkej-464	139	31	an	an	DET
alkej-464	139	32	estimator	estimator	NOUN
alkej-464	139	33	for	for	ADP
alkej-464	139	34	the	the	DET
alkej-464	139	35	autocorrelation	autocorrelation	NOUN
alkej-464	139	36	vector	vector	NOUN
alkej-464	139	37	greek	greek	NOUN
alkej-464	139	38	letters	letter	NOUN
alkej-464	139	39	λ	λ	X
alkej-464	139	40	the	the	DET
alkej-464	139	41	forgetting	forget	VERB
alkej-464	139	42	factor	factor	NOUN
alkej-464	139	43	δ	δ	PROPN
alkej-464	139	44	positive	positive	ADJ
alkej-464	139	45	number	number	NOUN
alkej-464	139	46	ε[n	ε[n	NOUN
alkej-464	139	47	]	]	PUNCT
alkej-464	139	48	cost	cost	NOUN
alkej-464	139	49	function	function	NOUN
alkej-464	139	50	5	5	NUM
alkej-464	139	51	.	.	PUNCT
alkej-464	139	52	references	reference	NOUN
alkej-464	139	53	[	[	X
alkej-464	139	54	1	1	NUM
alkej-464	139	55	]	]	PUNCT
alkej-464	139	56	.	.	PUNCT
alkej-464	140	1	kevin	kevin	PROPN
alkej-464	140	2	buckley	buckley	PROPN
alkej-464	140	3	.	.	PUNCT
alkej-464	140	4	,	,	PUNCT
alkej-464	140	5	"	"	PUNCT
alkej-464	140	6	ece5251	ece5251	NOUN
alkej-464	140	7	biomedical	biomedical	PROPN
alkej-464	140	8	signal	signal	PROPN
alkej-464	140	9	processing	processing	NOUN
alkej-464	140	10	"	"	PUNCT
alkej-464	140	11	,	,	PUNCT
alkej-464	140	12	2009	2009	NUM
alkej-464	140	13	[	[	X
alkej-464	140	14	2	2	NUM
alkej-464	140	15	]	]	PUNCT
alkej-464	140	16	.	.	PUNCT
alkej-464	141	1	kiyoshi	kiyoshi	PROPN
alkej-464	141	2	nishikawa	nishikawa	PROPN
alkej-464	141	3	and	and	CCONJ
alkej-464	141	4	hitoshi	hitoshi	PROPN
alkej-464	141	5	kiya	kiya	PROPN
alkej-464	141	6	,	,	PUNCT
alkej-464	141	7	"	"	PUNCT
alkej-464	141	8	noval	noval	ADJ
alkej-464	141	9	implementation	implementation	NOUN
alkej-464	141	10	technique	technique	NOUN
alkej-464	141	11	of	of	ADP
alkej-464	141	12	rls	rls	PROPN
alkej-464	141	13	algorithm	algorithm	NOUN
alkej-464	141	14	for	for	ADP
alkej-464	141	15	improving	improve	VERB
alkej-464	141	16	throughtput	throughtput	NOUN
alkej-464	141	17	of	of	ADP
alkej-464	141	18	adaptive	adaptive	ADJ
alkej-464	141	19	filters	filter	NOUN
alkej-464	141	20	,	,	PUNCT
alkej-464	141	21	1999	1999	NUM
alkej-464	141	22	.	.	PUNCT
alkej-464	142	1	[	[	X
alkej-464	142	2	3	3	NUM
alkej-464	142	3	]	]	PUNCT
alkej-464	142	4	.	.	PUNCT
alkej-464	142	5	ftp://ftp.ieee.org/uploads/press/rangayyan/	ftp://ftp.ieee.org/uploads/press/rangayyan/	PROPN
alkej-464	142	6	[	[	X
alkej-464	142	7	4	4	NUM
alkej-464	142	8	]	]	PUNCT
alkej-464	142	9	.	.	PUNCT
alkej-464	143	1	p.k	p.k	PROPN
alkej-464	143	2	.	.	PROPN
alkej-464	143	3	bora	bora	PROPN
alkej-464	143	4	,	,	PUNCT
alkej-464	143	5	"	"	PUNCT
alkej-464	143	6	statistical	statistical	ADJ
alkej-464	143	7	signal	signal	NOUN
alkej-464	143	8	processing	processing	NOUN
alkej-464	143	9	"	"	PUNCT
alkej-464	143	10	,	,	PUNCT
alkej-464	143	11	john	john	PROPN
alkej-464	143	12	wiley	wiley	PROPN
alkej-464	143	13	and	and	CCONJ
alkej-464	143	14	sons	son	NOUN
alkej-464	143	15	,	,	PUNCT
alkej-464	143	16	inc	inc	PROPN
alkej-464	143	17	.	.	PROPN
alkej-464	143	18	,	,	PUNCT
alkej-464	143	19	1996	1996	NUM
alkej-464	143	20	.	.	PUNCT
alkej-464	144	1	[	[	X
alkej-464	144	2	5	5	NUM
alkej-464	144	3	]	]	PUNCT
alkej-464	144	4	.	.	PUNCT
alkej-464	145	1	ali	ali	PROPN
alkej-464	145	2	h.	h.	PROPN
alkej-464	145	3	sayed	sayed	PROPN
alkej-464	145	4	,	,	PUNCT
alkej-464	145	5	"	"	PUNCT
alkej-464	145	6	adaptive	adaptive	ADJ
alkej-464	145	7	filters",2008	filters",2008	NOUN
alkej-464	146	1	[	[	X
alkej-464	146	2	6	6	NUM
alkej-464	146	3	]	]	PUNCT
alkej-464	146	4	.	.	PUNCT
alkej-464	147	1	rangarai	rangarai	PROPN
alkej-464	147	2	m.	m.	PROPN
alkej-464	147	3	rangayyan	rangayyan	PROPN
alkej-464	147	4	.	.	PUNCT
alkej-464	148	1	,	,	PUNCT
alkej-464	148	2	"	"	PUNCT
alkej-464	148	3	biomedical	biomedical	ADJ
alkej-464	148	4	signal	signal	NOUN
alkej-464	148	5	analysis	analysis	NOUN
alkej-464	148	6	a	a	DET
alkej-464	148	7	case	case	NOUN
alkej-464	148	8	-	-	PUNCT
alkej-464	148	9	stady	stady	NOUN
alkej-464	148	10	approach	approach	NOUN
alkej-464	148	11	"	"	PUNCT
alkej-464	148	12	,	,	PUNCT
alkej-464	148	13	john	john	PROPN
alkej-464	148	14	wiley	wiley	PROPN
alkej-464	148	15	and	and	CCONJ
alkej-464	148	16	sons	son	NOUN
alkej-464	148	17	,	,	PUNCT
alkej-464	148	18	inc	inc	PROPN
alkej-464	148	19	.	.	PROPN
alkej-464	148	20	,	,	PUNCT
alkej-464	148	21	2002	2002	NUM
alkej-464	148	22	.	.	PUNCT
alkej-464	149	1	[	[	X
alkej-464	149	2	7	7	NUM
alkej-464	149	3	]	]	PUNCT
alkej-464	149	4	.	.	PUNCT
alkej-464	150	1	hayes	hayes	PROPN
alkej-464	150	2	,	,	PUNCT
alkej-464	150	3	monson	monson	PROPN
alkej-464	150	4	h.	h.	PROPN
alkej-464	150	5	,	,	PUNCT
alkej-464	150	6	“	"	PUNCT
alkej-464	150	7	statistical	statistical	ADJ
alkej-464	150	8	digital	digital	ADJ
alkej-464	150	9	signal	signal	NOUN
alkej-464	150	10	processing	processing	NOUN
alkej-464	150	11	and	and	CCONJ
alkej-464	150	12	modeling	modeling	NOUN
alkej-464	150	13	"	"	PUNCT
alkej-464	150	14	,	,	PUNCT
alkej-464	150	15	john	john	PROPN
alkej-464	150	16	wiley	wiley	PROPN
alkej-464	150	17	and	and	CCONJ
alkej-464	150	18	sons	son	NOUN
alkej-464	150	19	,	,	PUNCT
alkej-464	150	20	inc	inc	PROPN
alkej-464	150	21	.	.	PROPN
alkej-464	150	22	,	,	PUNCT
alkej-464	150	23	1996	1996	NUM
alkej-464	150	24	.	.	PUNCT
alkej-464	151	1	this	this	DET
alkej-464	151	2	page	page	NOUN
alkej-464	151	3	was	be	AUX
alkej-464	151	4	created	create	VERB
alkej-464	151	5	using	use	VERB
alkej-464	151	6	nitro	nitro	NOUN
alkej-464	151	7	pdf	pdf	NOUN
alkej-464	151	8	trial	trial	NOUN
alkej-464	151	9	software	software	NOUN
alkej-464	151	10	.	.	PUNCT
alkej-464	152	1	to	to	PART
alkej-464	152	2	purchase	purchase	VERB
alkej-464	152	3	,	,	PUNCT
alkej-464	152	4	go	go	VERB
alkej-464	152	5	to	to	ADP
alkej-464	152	6	http://www.nitropdf.com/	http://www.nitropdf.com/	NOUN
alkej-464	152	7	http://www.nitropdf.com/	http://www.nitropdf.com/	NOUN
alkej-464	153	1	21	21	NUM
alkej-464	153	2	،	،	X
alkej-464	153	3	صفحة1	صفحة1	PROPN
alkej-464	153	4	،	،	PROPN
alkej-464	153	5	العدد	العدد	PROPN
alkej-464	153	6	7مجلة	7مجلة	PROPN
alkej-464	153	7	الخوارزمي	الخوارزمي	VERB
alkej-464	153	8	الھندسیة	الھندسیة	PROPN
alkej-464	153	9	المجلد	المجلد	PROPN
alkej-464	153	10	نور	نور	PROPN
alkej-464	153	11	كمال	كمال	PROPN
alkej-464	153	12	محسن	محسن	PROPN
alkej-464	153	13	13	13	NUM
alkej-464	153	14	)	)	PUNCT
alkej-464	153	15	2011	2011	NUM
alkej-464	153	16	(	(	PUNCT
alkej-464	153	17	21	21	NUM
alkej-464	153	18	َتستعمُل	َتستعمُل	PROPN
alkej-464	153	19	أقّل	أقّل	PROPN
alkej-464	153	20	تكراریًة	تكراریًة	PROPN
alkej-464	153	21	الخوارزمیاِت	الخوارزمیاِت	PROPN
alkej-464	153	22	المرّبعِةإزالة	المرّبعِةإزالة	PROPN
alkej-464	153	23	ضوضاِء	ضوضاِء	PROPN
alkej-464	153	24	التي	التي	PROPN
alkej-464	153	25	نور	نور	PROPN
alkej-464	153	26	كمال	كمال	PROPN
alkej-464	153	27	محسن	محسن	PROPN
alkej-464	153	28	جامعة	جامعة	NOUN
alkej-464	153	29	بغداد/	بغداد/	NUM
alkej-464	153	30	كلیة	كلیة	NOUN
alkej-464	153	31	الھندسھ	الھندسھ	PROPN
alkej-464	153	32	الخوارزمي/	الخوارزمي/	NUM
alkej-464	153	33	قسم	قسم	NOUN
alkej-464	153	34	ھندسة	ھندسة	ADJ
alkej-464	154	1	الطب	الطب	PROPN
alkej-464	154	2	الحیاتي	الحیاتي	PROPN
alkej-464	154	3	noorbmemsc81@yahoo.com	noorbmemsc81@yahoo.com	NOUN
alkej-464	154	4	:	:	PUNCT
alkej-464	154	5	االلكتروني	االلكتروني	NOUN
alkej-464	154	6	البرید	البرید	NOUN
alkej-464	154	7	الخالصة	الخالصة	VERB
alkej-464	154	8	لّ	لّ	NOUN
alkej-464	154	9	ة	ة	NOUN
alkej-464	154	10	أق	أق	PROPN
alkej-464	154	11	تعمُل	تعمُل	PROPN
alkej-464	154	12	خوارزمی	خوارزمی	X
alkej-464	154	13	ذي	ذي	PROPN
alkej-464	154	14	َیس	َیس	PROPN
alkej-464	154	15	يِّ	يِّ	NOUN
alkej-464	154	16	ال	ال	PROPN
alkej-464	154	17	ِي	ِي	PROPN
alkej-464	154	18	والخط	والخط	PROPN
alkej-464	154	19	ِي	ِي	PROPN
alkej-464	154	20	الالخّط	الالخّط	PUNCT
alkej-464	154	21	یح	یح	ADP
alkej-464	154	22	التكیف	التكیف	PROPN
alkej-464	154	23	ى	ى	PRON
alkej-464	154	24	الَتْرش	الَتْرش	NOUN
alkej-464	154	25	تندة	تندة	NOUN
alkej-464	154	26	عل	عل	ADP
alkej-464	154	27	ِع	ِع	PROPN
alkej-464	154	28	ھذا	ھذا	NOUN
alkej-464	154	29	البحث	البحث	NOUN
alkej-464	154	30	یبحث	یبحث	PROPN
alkej-464	154	31	نظرًة	نظرًة	PROPN
alkej-464	154	32	لمعالجِة	لمعالجِة	PROPN
alkej-464	154	33	إشارات	إشارات	PROPN
alkej-464	154	34	تخطیط	تخطیط	PROPN
alkej-464	154	35	القلب	القلب	PROPN
alkej-464	154	36	مس	مس	PROPN
alkej-464	154	37	ًة	ًة	NOUN
alkej-464	154	38	المرب	المرب	NOUN
alkej-464	154	39	تكراری	تكراری	VERB
alkej-464	154	40	اءَ	اءَ	PROPN
alkej-464	154	41	الي	الي	PROPN
alkej-464	154	42	و	و	PRON
alkej-464	154	43	ضوض	ضوض	VERB
alkej-464	154	44	ذب	ذب	ADP
alkej-464	154	45	الع	الع	PROPN
alkej-464	155	1	اَء	اَء	PROPN
alkej-464	155	2	التذب	التذب	ADJ
alkej-464	155	3	واطئ	واطئ	NOUN
alkej-464	155	4	إلزالة	إلزالة	PROPN
alkej-464	155	5	إثنان	إثنان	PROPN
alkej-464	155	6	ِمْن	ِمْن	DET
alkej-464	155	7	أنواِع	أنواِع	PROPN
alkej-464	155	8	الضوضاِء	الضوضاِء	PROPN
alkej-464	155	9	الذي	الذي	PROPN
alkej-464	155	10	المؤثره	المؤثره	VERB
alkej-464	155	11	على	على	NOUN
alkej-464	155	12	إشارِة	إشارِة	PROPN
alkej-464	155	13	تخطیط	تخطیط	PROPN
alkej-464	155	14	القلب	القلب	PROPN
alkej-464	155	15	و	و	PRON
alkej-464	155	16	المتمثلھ	المتمثلھ	PROPN
alkej-464	155	17	بضوض	بضوض	VERB
alkej-464	155	18	ذب	ذب	ADP
alkej-464	155	19	ال	ال	PROPN
alkej-464	155	20	ة	ة	PROPN
alkej-464	155	21	.	.	PUNCT
alkej-464	156	1	التذب	التذب	NOUN
alkej-464	156	2	اة	اة	ADP
alkej-464	156	3	ُمَؤّدی	ُمَؤّدی	X
alkej-464	156	4	المحاك	المحاك	PROPN
alkej-464	156	5	ك	ك	X
alkej-464	156	6	عملی	عملی	PROPN
alkej-464	156	7	د	د	PROPN
alkej-464	156	8	ذل	ذل	PRON
alkej-464	156	9	ِت	ِت	PROPN
alkej-464	156	10	،	،	PROPN
alkej-464	156	11	وبع	وبع	PROPN
alkej-464	156	12	ْن	ْن	PROPN
alkej-464	156	13	اإلنترن	اإلنترن	PROPN
alkej-464	156	14	ْت	ْت	PROPN
alkej-464	157	1	ِم	ِم	PROPN
alkej-464	157	2	ِة	ِة	PROPN
alkej-464	157	3	ُحّمل	ُحّمل	NUM
alkej-464	157	4	ذه	ذه	ADP
alkej-464	157	5	الدراس	الدراس	PROPN
alkej-464	157	6	ي	ي	X
alkej-464	157	7	ھ	ھ	PROPN
alkej-464	157	8	تعملْھ	تعملْھ	PUNCT
alkej-464	157	9	ف	ف	NOUN
alkej-464	157	10	واطئَ	واطئَ	PROPN
alkej-464	157	11	المس	المس	NOUN
alkej-464	157	12	ذب	ذب	PROPN
alkej-464	157	13	ال	ال	ADP
alkej-464	157	14	اَء	اَء	ADP
alkej-464	157	15	التذب	التذب	NOUN
alkej-464	157	16	الي	الي	NOUN
alkej-464	157	17	و	و	PRON
alkej-464	157	18	ضوض	ضوض	VERB
alkej-464	157	19	ذب	ذب	ADP
alkej-464	157	20	الع	الع	PROPN
alkej-464	157	21	تعمال	تعمال	PROPN
alkej-464	157	22	بأستخدام	بأستخدام	PROPN
alkej-464	157	23	ال	ال	ADP
alkej-464	157	24	ضوضاَء	ضوضاَء	PROPN
alkej-464	157	25	التذب	التذب	NOUN
alkej-464	157	26	یح	یح	NOUN
alkej-464	157	27	بإس	بإس	NOUN
alkej-464	157	28	ة	ة	ADP
alkej-464	157	29	الَتْرش	الَتْرش	NOUN
alkej-464	157	30	!	!	PUNCT
alkej-464	157	31	!	!	PUNCT
alkej-464	157	32	!	!	PUNCT
alkej-464	158	1	ز	ز	PRON
alkej-464	158	2	الالنھائياستجابة	الالنھائياستجابة	PROPN
alkej-464	158	3	الحافالذي	الحافالذي	PROPN
alkej-464	158	4	صّوَر	صّوَر	PROPN
alkej-464	158	5	َنتاِئَج	َنتاِئَج	PROPN
alkej-464	158	6	افضل	افضل	PROPN
alkej-464	158	7	ِمْن	ِمْن	PROPN
alkej-464	158	8	مرشحاِت	مرشحاِت	PROPN
alkej-464	158	9	استجابة	استجابة	NOUN
alkej-464	158	10	الحافز	الحافز	PROPN
alkej-464	158	11	المحدود	المحدود	PROPN
alkej-464	158	12	!	!	PUNCT
alkej-464	158	13	!	!	PUNCT
alkej-464	159	1	this	this	DET
alkej-464	159	2	page	page	NOUN
alkej-464	159	3	was	be	AUX
alkej-464	159	4	created	create	VERB
alkej-464	159	5	using	use	VERB
alkej-464	159	6	nitro	nitro	NOUN
alkej-464	159	7	pdf	pdf	NOUN
alkej-464	159	8	trial	trial	NOUN
alkej-464	159	9	software	software	NOUN
alkej-464	159	10	.	.	PUNCT
alkej-464	160	1	to	to	PART
alkej-464	160	2	purchase	purchase	VERB
alkej-464	160	3	,	,	PUNCT
alkej-464	160	4	go	go	VERB
alkej-464	160	5	to	to	ADP
alkej-464	160	6	http://www.nitropdf.com/	http://www.nitropdf.com/	NOUN
alkej-464	160	7	http://www.nitropdf.com/	http://www.nitropdf.com/	NOUN