id	sid	tid	token	lemma	pos
ajema-7710	1	1	204	204	NUM
ajema-7710	1	2	journal	journal	NOUN
ajema-7710	1	3	of	of	ADP
ajema-7710	1	4	engineering	engineering	NOUN
ajema-7710	1	5	,	,	PUNCT
ajema-7710	1	6	mechanics	mechanic	NOUN
ajema-7710	1	7	and	and	CCONJ
ajema-7710	1	8	architecture	architecture	NOUN
ajema-7710	1	9	www	www	NOUN
ajema-7710	1	10	.	.	PUNCT
ajema-7710	2	1	grnjournal.us	grnjournal.us	PROPN
ajema-7710	2	2	american	american	PROPN
ajema-7710	2	3	journal	journal	PROPN
ajema-7710	2	4	of	of	ADP
ajema-7710	2	5	engineering	engineering	NOUN
ajema-7710	2	6	,	,	PUNCT
ajema-7710	2	7	mechanics	mechanic	NOUN
ajema-7710	2	8	and	and	CCONJ
ajema-7710	2	9	architecture	architecture	NOUN
ajema-7710	2	10	volume	volume	NOUN
ajema-7710	2	11	3	3	NUM
ajema-7710	2	12	,	,	PUNCT
ajema-7710	2	13	issue	issue	NOUN
ajema-7710	2	14	5	5	NUM
ajema-7710	2	15	,	,	PUNCT
ajema-7710	2	16	2025	2025	NUM
ajema-7710	2	17	issn	issn	X
ajema-7710	2	18	(	(	PUNCT
ajema-7710	2	19	e	e	NOUN
ajema-7710	2	20	):	):	PUNCT
ajema-7710	2	21	2993	2993	NUM
ajema-7710	2	22	-	-	SYM
ajema-7710	2	23	2637	2637	NUM
ajema-7710	2	24	simulation	simulation	NOUN
ajema-7710	2	25	of	of	ADP
ajema-7710	2	26	data	datum	NOUN
ajema-7710	2	27	de	de	ADJ
ajema-7710	2	28	-	-	ADJ
ajema-7710	2	29	noising	noising	ADJ
ajema-7710	2	30	system	system	NOUN
ajema-7710	2	31	using	use	VERB
ajema-7710	2	32	improved	improved	ADJ
ajema-7710	2	33	pso	pso	NOUN
ajema-7710	2	34	software	software	NOUN
ajema-7710	2	35	algorithm	algorithm	PROPN
ajema-7710	2	36	nada	nada	PROPN
ajema-7710	2	37	sharis	sharis	PROPN
ajema-7710	2	38	,	,	PUNCT
ajema-7710	2	39	ali	ali	PROPN
ajema-7710	2	40	arkan	arkan	PROPN
ajema-7710	2	41	al	al	PROPN
ajema-7710	2	42	-	-	PUNCT
ajema-7710	2	43	ezz	ezz	PROPN
ajema-7710	2	44	iraqi	iraqi	PROPN
ajema-7710	2	45	ministry	ministry	PROPN
ajema-7710	2	46	of	of	ADP
ajema-7710	2	47	education	education	PROPN
ajema-7710	2	48	,	,	PUNCT
ajema-7710	2	49	vocational	vocational	ADJ
ajema-7710	2	50	education	education	NOUN
ajema-7710	2	51	department	department	PROPN
ajema-7710	2	52	,	,	PUNCT
ajema-7710	2	53	najaf	najaf	PROPN
ajema-7710	2	54	firas	firas	PROPN
ajema-7710	2	55	m	m	VERB
ajema-7710	2	56	al	al	PROPN
ajema-7710	2	57	-	-	PROPN
ajema-7710	2	58	salbi	salbi	PROPN
ajema-7710	2	59	al	al	PROPN
ajema-7710	2	60	-	-	PUNCT
ajema-7710	2	61	nahrain	nahrain	PROPN
ajema-7710	2	62	university	university	NOUN
ajema-7710	2	63	,	,	PUNCT
ajema-7710	2	64	engineering	engineering	NOUN
ajema-7710	2	65	college	college	NOUN
ajema-7710	2	66	,	,	PUNCT
ajema-7710	2	67	electronic	electronic	PROPN
ajema-7710	2	68	&	&	CCONJ
ajema-7710	2	69	communications	communications	PROPN
ajema-7710	2	70	dept	dept	PROPN
ajema-7710	2	71	.	.	PROPN
ajema-7710	2	72	,	,	PUNCT
ajema-7710	2	73	baghdad	baghdad	PROPN
ajema-7710	2	74	,	,	PUNCT
ajema-7710	2	75	iraq	iraq	PROPN
ajema-7710	2	76	abstract	abstract	NOUN
ajema-7710	2	77	:	:	PUNCT
ajema-7710	2	78	in	in	ADP
ajema-7710	2	79	an	an	DET
ajema-7710	2	80	rf	rf	ADJ
ajema-7710	2	81	environment	environment	NOUN
ajema-7710	2	82	,	,	PUNCT
ajema-7710	2	83	noise	noise	NOUN
ajema-7710	2	84	that	that	PRON
ajema-7710	2	85	starts	start	VERB
ajema-7710	2	86	with	with	ADP
ajema-7710	2	87	a	a	DET
ajema-7710	2	88	few	few	ADJ
ajema-7710	2	89	references	reference	NOUN
ajema-7710	2	90	ruins	ruin	VERB
ajema-7710	2	91	the	the	DET
ajema-7710	2	92	display	display	NOUN
ajema-7710	2	93	of	of	ADP
ajema-7710	2	94	telecommunications	telecommunications	NOUN
ajema-7710	2	95	systems	system	NOUN
ajema-7710	2	96	.	.	PUNCT
ajema-7710	3	1	non	non	ADJ
ajema-7710	3	2	-	-	ADJ
ajema-7710	3	3	linearity	linearity	NOUN
ajema-7710	3	4	at	at	ADP
ajema-7710	3	5	the	the	DET
ajema-7710	3	6	rf	rf	NOUN
ajema-7710	3	7	section	section	NOUN
ajema-7710	3	8	,	,	PUNCT
ajema-7710	3	9	time	time	NOUN
ajema-7710	3	10	-	-	PUNCT
ajema-7710	3	11	varying	vary	VERB
ajema-7710	3	12	warm	warm	ADJ
ajema-7710	3	13	noise	noise	NOUN
ajema-7710	3	14	inside	inside	ADP
ajema-7710	3	15	the	the	DET
ajema-7710	3	16	collector	collector	NOUN
ajema-7710	3	17	radio	radio	NOUN
ajema-7710	3	18	framework	framework	NOUN
ajema-7710	3	19	,	,	PUNCT
ajema-7710	3	20	with	with	ADP
ajema-7710	3	21	noise	noise	NOUN
ajema-7710	3	22	through	through	ADP
ajema-7710	3	23	neighboring	neighboring	NOUN
ajema-7710	3	24	organization	organization	NOUN
ajema-7710	3	25	hubs	hub	NOUN
ajema-7710	3	26	can	can	AUX
ajema-7710	3	27	all	all	ADV
ajema-7710	3	28	contribute	contribute	VERB
ajema-7710	3	29	to	to	ADP
ajema-7710	3	30	the	the	DET
ajema-7710	3	31	noise	noise	NOUN
ajema-7710	3	32	at	at	ADP
ajema-7710	3	33	the	the	DET
ajema-7710	3	34	receiver	receiver	NOUN
ajema-7710	3	35	of	of	ADP
ajema-7710	3	36	a	a	DET
ajema-7710	3	37	broadband	broadband	NOUN
ajema-7710	3	38	framework	framework	NOUN
ajema-7710	3	39	,	,	PUNCT
ajema-7710	3	40	such	such	ADJ
ajema-7710	3	41	as	as	ADP
ajema-7710	3	42	intellectual	intellectual	ADJ
ajema-7710	3	43	radios	radio	NOUN
ajema-7710	3	44	.	.	PUNCT
ajema-7710	4	1	for	for	ADP
ajema-7710	4	2	intelligent	intelligent	ADJ
ajema-7710	4	3	radios	radio	NOUN
ajema-7710	4	4	,	,	PUNCT
ajema-7710	4	5	a	a	DET
ajema-7710	4	6	few	few	ADJ
ajema-7710	4	7	denoising	denoising	NOUN
ajema-7710	4	8	techniques	technique	NOUN
ajema-7710	4	9	have	have	AUX
ajema-7710	4	10	been	be	AUX
ajema-7710	4	11	developed	develop	VERB
ajema-7710	4	12	;	;	PUNCT
ajema-7710	4	13	some	some	PRON
ajema-7710	4	14	are	be	AUX
ajema-7710	4	15	used	use	VERB
ajema-7710	4	16	for	for	ADP
ajema-7710	4	17	range	range	NOUN
ajema-7710	4	18	detection	detection	NOUN
ajema-7710	4	19	,	,	PUNCT
ajema-7710	4	20	while	while	SCONJ
ajema-7710	4	21	others	other	NOUN
ajema-7710	4	22	are	be	AUX
ajema-7710	4	23	used	use	VERB
ajema-7710	4	24	to	to	PART
ajema-7710	4	25	obtain	obtain	VERB
ajema-7710	4	26	loud	loud	ADJ
ajema-7710	4	27	signals	signal	NOUN
ajema-7710	4	28	during	during	ADP
ajema-7710	4	29	conversation	conversation	NOUN
ajema-7710	4	30	.	.	PUNCT
ajema-7710	5	1	less	less	ADV
ajema-7710	5	2	mean	mean	ADJ
ajema-7710	5	3	square	square	PROPN
ajema-7710	5	4	(	(	PUNCT
ajema-7710	5	5	lms	lm	NOUN
ajema-7710	5	6	)	)	PUNCT
ajema-7710	5	7	and	and	CCONJ
ajema-7710	5	8	its	its	PRON
ajema-7710	5	9	variants	variant	NOUN
ajema-7710	5	10	are	be	AUX
ajema-7710	5	11	illustrations	illustration	NOUN
ajema-7710	5	12	of	of	ADP
ajema-7710	5	13	part	part	NOUN
ajema-7710	5	14	of	of	ADP
ajema-7710	5	15	such	such	ADJ
ajema-7710	5	16	strategies	strategy	NOUN
ajema-7710	5	17	employed	employ	VERB
ajema-7710	5	18	to	to	PART
ajema-7710	5	19	eliminate	eliminate	VERB
ajema-7710	5	20	noise	noise	NOUN
ajema-7710	5	21	in	in	ADP
ajema-7710	5	22	detected	detect	VERB
ajema-7710	5	23	waveforms	waveform	NOUN
ajema-7710	5	24	.	.	PUNCT
ajema-7710	6	1	in	in	ADP
ajema-7710	6	2	any	any	DET
ajema-7710	6	3	case	case	NOUN
ajema-7710	6	4	,	,	PUNCT
ajema-7710	6	5	these	these	DET
ajema-7710	6	6	computations	computation	NOUN
ajema-7710	6	7	perform	perform	VERB
ajema-7710	6	8	poorly	poorly	ADV
ajema-7710	6	9	when	when	SCONJ
ajema-7710	6	10	dealing	deal	VERB
ajema-7710	6	11	with	with	ADP
ajema-7710	6	12	nonstraight	nonstraight	NOUN
ajema-7710	6	13	signals	signal	NOUN
ajema-7710	6	14	and	and	CCONJ
ajema-7710	6	15	are	be	AUX
ajema-7710	6	16	unable	unable	ADJ
ajema-7710	6	17	to	to	PART
ajema-7710	6	18	provide	provide	VERB
ajema-7710	6	19	a	a	DET
ajema-7710	6	20	globally	globally	ADV
ajema-7710	6	21	optimal	optimal	ADJ
ajema-7710	6	22	solution	solution	NOUN
ajema-7710	6	23	for	for	ADP
ajema-7710	6	24	noise	noise	NOUN
ajema-7710	6	25	retraction	retraction	NOUN
ajema-7710	6	26	.	.	PUNCT
ajema-7710	7	1	in	in	ADP
ajema-7710	7	2	this	this	DET
ajema-7710	7	3	way	way	NOUN
ajema-7710	7	4	,	,	PUNCT
ajema-7710	7	5	the	the	DET
ajema-7710	7	6	use	use	NOUN
ajema-7710	7	7	of	of	ADP
ajema-7710	7	8	global	global	ADJ
ajema-7710	7	9	inquiry	inquiry	NOUN
ajema-7710	7	10	advancement	advancement	NOUN
ajema-7710	7	11	techniques	technique	NOUN
ajema-7710	7	12	,	,	PUNCT
ajema-7710	7	13	such	such	ADJ
ajema-7710	7	14	as	as	ADP
ajema-7710	7	15	developmental	developmental	ADJ
ajema-7710	7	16	calculations	calculation	NOUN
ajema-7710	7	17	,	,	PUNCT
ajema-7710	7	18	is	be	AUX
ajema-7710	7	19	taken	take	VERB
ajema-7710	7	20	into	into	ADP
ajema-7710	7	21	account	account	NOUN
ajema-7710	7	22	for	for	ADP
ajema-7710	7	23	noise	noise	NOUN
ajema-7710	7	24	retraction	retraction	NOUN
ajema-7710	7	25	.	.	PUNCT
ajema-7710	8	1	in	in	ADP
ajema-7710	8	2	this	this	DET
ajema-7710	8	3	study	study	NOUN
ajema-7710	8	4	,	,	PUNCT
ajema-7710	8	5	lms	lm	NOUN
ajema-7710	8	6	computations	computation	NOUN
ajema-7710	8	7	are	be	AUX
ajema-7710	8	8	performed	perform	VERB
ajema-7710	8	9	and	and	CCONJ
ajema-7710	8	10	their	their	PRON
ajema-7710	8	11	displays	display	NOUN
ajema-7710	8	12	evaluated	evaluate	VERB
ajema-7710	8	13	,	,	PUNCT
ajema-7710	8	14	together	together	ADV
ajema-7710	8	15	with	with	SCONJ
ajema-7710	8	16	an	an	DET
ajema-7710	8	17	upgraded	upgrade	VERB
ajema-7710	8	18	particles	particle	NOUN
ajema-7710	8	19	swarm	swarm	NOUN
ajema-7710	8	20	optimization	optimization	NOUN
ajema-7710	8	21	improved	improve	VERB
ajema-7710	8	22	(	(	PUNCT
ajema-7710	8	23	pso	pso	NOUN
ajema-7710	8	24	)	)	PUNCT
ajema-7710	8	25	.	.	PUNCT
ajema-7710	9	1	the	the	DET
ajema-7710	9	2	supplied	supply	VERB
ajema-7710	9	3	waveform	waveform	NOUN
ajema-7710	9	4	was	be	AUX
ajema-7710	9	5	subjected	subject	VERB
ajema-7710	9	6	to	to	ADP
ajema-7710	9	7	broad	broad	ADJ
ajema-7710	9	8	recreations	recreation	NOUN
ajema-7710	9	9	in	in	ADP
ajema-7710	9	10	which	which	PRON
ajema-7710	9	11	non	non	ADJ
ajema-7710	9	12	-	-	ADJ
ajema-7710	9	13	straight	straight	ADJ
ajema-7710	9	14	irregular	irregular	ADJ
ajema-7710	9	15	noise	noise	NOUN
ajema-7710	9	16	and	and	CCONJ
ajema-7710	9	17	gaussian	gaussian	ADJ
ajema-7710	9	18	noise	noise	NOUN
ajema-7710	9	19	were	be	AUX
ajema-7710	9	20	included	include	VERB
ajema-7710	9	21	.	.	PUNCT
ajema-7710	10	1	two	two	NUM
ajema-7710	10	2	metrics	metric	NOUN
ajema-7710	10	3	were	be	AUX
ajema-7710	10	4	used	use	VERB
ajema-7710	10	5	to	to	PART
ajema-7710	10	6	complete	complete	VERB
ajema-7710	10	7	the	the	DET
ajema-7710	10	8	presentation	presentation	NOUN
ajema-7710	10	9	examination	examination	NOUN
ajema-7710	10	10	:	:	PUNCT
ajema-7710	10	11	mean	mean	VERB
ajema-7710	10	12	square	square	ADJ
ajema-7710	10	13	error	error	NOUN
ajema-7710	10	14	and	and	CCONJ
ajema-7710	10	15	bit	bit	NOUN
ajema-7710	10	16	error	error	NOUN
ajema-7710	10	17	rate	rate	NOUN
ajema-7710	10	18	.	.	PUNCT
ajema-7710	11	1	the	the	DET
ajema-7710	11	2	results	result	NOUN
ajema-7710	11	3	demonstrate	demonstrate	VERB
ajema-7710	11	4	that	that	SCONJ
ajema-7710	11	5	for	for	ADP
ajema-7710	11	6	both	both	CCONJ
ajema-7710	11	7	gaussian	gaussian	ADJ
ajema-7710	11	8	and	and	CCONJ
ajema-7710	11	9	nonlinear	nonlinear	ADJ
ajema-7710	11	10	arbitrary	arbitrary	ADJ
ajema-7710	11	11	noise	noise	NOUN
ajema-7710	11	12	,	,	PUNCT
ajema-7710	11	13	the	the	DET
ajema-7710	11	14	enhanced	enhanced	ADJ
ajema-7710	11	15	pso	pso	NOUN
ajema-7710	11	16	outperforms	outperform	VERB
ajema-7710	11	17	lms	lm	NOUN
ajema-7710	11	18	.	.	PUNCT
ajema-7710	12	1	keywords	keyword	NOUN
ajema-7710	12	2	:	:	PUNCT
ajema-7710	12	3	enhanced	enhance	VERB
ajema-7710	12	4	particle	particle	NOUN
ajema-7710	12	5	swarm	swarm	NOUN
ajema-7710	12	6	optimization	optimization	NOUN
ajema-7710	12	7	(	(	PUNCT
ajema-7710	12	8	pso	pso	NOUN
ajema-7710	12	9	)	)	PUNCT
ajema-7710	12	10	,	,	PUNCT
ajema-7710	12	11	least	least	ADJ
ajema-7710	12	12	mean	mean	VERB
ajema-7710	12	13	square	square	ADJ
ajema-7710	12	14	(	(	PUNCT
ajema-7710	12	15	lms	lm	NOUN
ajema-7710	12	16	)	)	PUNCT
ajema-7710	12	17	,	,	PUNCT
ajema-7710	12	18	cognitive	cognitive	ADJ
ajema-7710	12	19	radio	radio	NOUN
ajema-7710	12	20	,	,	PUNCT
ajema-7710	12	21	noise	noise	NOUN
ajema-7710	12	22	cancellation	cancellation	NOUN
ajema-7710	12	23	,	,	PUNCT
ajema-7710	12	24	adaptive	adaptive	ADJ
ajema-7710	12	25	algorithm	algorithm	NOUN
ajema-7710	12	26	.	.	PUNCT
ajema-7710	13	1	1	1	X
ajema-7710	13	2	.	.	X
ajema-7710	13	3	introduction	introduction	NOUN
ajema-7710	13	4	one	one	NUM
ajema-7710	13	5	of	of	ADP
ajema-7710	13	6	the	the	DET
ajema-7710	13	7	typical	typical	ADJ
ajema-7710	13	8	issues	issue	NOUN
ajema-7710	13	9	with	with	ADP
ajema-7710	13	10	transmission	transmission	NOUN
ajema-7710	13	11	frameworks	framework	NOUN
ajema-7710	13	12	is	be	AUX
ajema-7710	13	13	noise	noise	NOUN
ajema-7710	13	14	,	,	PUNCT
ajema-7710	13	15	which	which	PRON
ajema-7710	13	16	degrades	degrade	VERB
ajema-7710	13	17	the	the	DET
ajema-7710	13	18	information	information	NOUN
ajema-7710	13	19	transfer	transfer	NOUN
ajema-7710	13	20	between	between	ADP
ajema-7710	13	21	the	the	DET
ajema-7710	13	22	modulator	modulator	NOUN
ajema-7710	13	23	and	and	CCONJ
ajema-7710	13	24	the	the	DET
ajema-7710	13	25	detector	detector	NOUN
ajema-7710	13	26	.	.	PUNCT
ajema-7710	14	1	examples	example	NOUN
ajema-7710	14	2	of	of	ADP
ajema-7710	14	3	noise	noise	NOUN
ajema-7710	14	4	sources	source	NOUN
ajema-7710	14	5	include	include	VERB
ajema-7710	14	6	the	the	DET
ajema-7710	14	7	presence	presence	NOUN
ajema-7710	14	8	of	of	ADP
ajema-7710	14	9	non	non	ADJ
ajema-7710	14	10	-	-	NOUN
ajema-7710	14	11	linearity	linearity	NOUN
ajema-7710	14	12	in	in	ADP
ajema-7710	14	13	the	the	DET
ajema-7710	14	14	rf	rf	NOUN
ajema-7710	14	15	section	section	NOUN
ajema-7710	14	16	,	,	PUNCT
ajema-7710	14	17	time	time	NOUN
ajema-7710	14	18	-	-	PUNCT
ajema-7710	14	19	changin	changin	VERB
ajema-7710	14	20	warm	warm	ADJ
ajema-7710	14	21	noise	noise	NOUN
ajema-7710	14	22	inside	inside	ADP
ajema-7710	14	23	the	the	DET
ajema-7710	14	24	collector	collector	NOUN
ajema-7710	14	25	radio	radio	NOUN
ajema-7710	14	26	framework	framework	NOUN
ajema-7710	14	27	,	,	PUNCT
ajema-7710	14	28	and	and	CCONJ
ajema-7710	14	29	noise	noise	NOUN
ajema-7710	14	30	along	along	ADP
ajema-7710	14	31	adjacent	adjacent	ADJ
ajema-7710	14	32	organization	organization	NOUN
ajema-7710	14	33	hubs	hub	NOUN
ajema-7710	14	34	or	or	CCONJ
ajema-7710	14	35	rf	rf	NOUN
ajema-7710	14	36	climate	climate	NOUN
ajema-7710	14	37	.	.	PUNCT
ajema-7710	15	1	similarly	similarly	ADV
ajema-7710	15	2	,	,	PUNCT
ajema-7710	15	3	other	other	ADJ
ajema-7710	15	4	factors	factor	NOUN
ajema-7710	15	5	that	that	PRON
ajema-7710	15	6	affect	affect	VERB
ajema-7710	15	7	the	the	DET
ajema-7710	15	8	reliability	reliability	NOUN
ajema-7710	15	9	of	of	ADP
ajema-7710	15	10	waveforms	waveform	NOUN
ajema-7710	15	11	are	be	AUX
ajema-7710	15	12	shadowing	shadow	VERB
ajema-7710	15	13	,	,	PUNCT
ajema-7710	15	14	crosstalk	crosstalk	NOUN
ajema-7710	15	15	,	,	PUNCT
ajema-7710	15	16	and	and	CCONJ
ajema-7710	15	17	way	way	NOUN
ajema-7710	15	18	chance	chance	NOUN
ajema-7710	15	19	[	[	X
ajema-7710	15	20	1	1	NUM
ajema-7710	15	21	,	,	PUNCT
ajema-7710	15	22	2	2	NUM
ajema-7710	15	23	]	]	PUNCT
ajema-7710	15	24	.	.	PUNCT
ajema-7710	16	1	ordinary	ordinary	ADJ
ajema-7710	16	2	communication	communication	NOUN
ajema-7710	16	3	frameworks	framework	NOUN
ajema-7710	16	4	use	use	VERB
ajema-7710	16	5	stationary	stationary	ADJ
ajema-7710	16	6	equipment	equipment	NOUN
ajema-7710	16	7	[	[	X
ajema-7710	16	8	3	3	NUM
ajema-7710	16	9	]	]	PUNCT
ajema-7710	16	10	to	to	PART
ajema-7710	16	11	regulate	regulate	VERB
ajema-7710	16	12	the	the	DET
ajema-7710	16	13	noise	noise	NOUN
ajema-7710	16	14	,	,	PUNCT
ajema-7710	16	15	which	which	PRON
ajema-7710	16	16	limits	limit	VERB
ajema-7710	16	17	performance	performance	NOUN
ajema-7710	16	18	and	and	CCONJ
ajema-7710	16	19	requires	require	VERB
ajema-7710	16	20	special	special	ADJ
ajema-7710	16	21	features	feature	NOUN
ajema-7710	16	22	.	.	PUNCT
ajema-7710	17	1	however	however	ADV
ajema-7710	17	2	,	,	PUNCT
ajema-7710	17	3	rather	rather	ADV
ajema-7710	17	4	than	than	ADP
ajema-7710	17	5	needing	need	VERB
ajema-7710	17	6	specifically	specifically	ADV
ajema-7710	17	7	designed	design	VERB
ajema-7710	17	8	equipment	equipment	NOUN
ajema-7710	17	9	for	for	ADP
ajema-7710	17	10	signal	signal	ADJ
ajema-7710	17	11	preparation	preparation	NOUN
ajema-7710	17	12	,	,	PUNCT
ajema-7710	17	13	programming	programming	NOUN
ajema-7710	17	14	-	-	PUNCT
ajema-7710	17	15	based	base	VERB
ajema-7710	17	16	frameworks	framework	NOUN
ajema-7710	17	17	enable	enable	VERB
ajema-7710	17	18	reconfigurable	reconfigurable	NOUN
ajema-7710	17	19	by	by	ADP
ajema-7710	17	20	employing	employ	VERB
ajema-7710	17	21	multi	multi	ADJ
ajema-7710	17	22	-	-	NOUN
ajema-7710	17	23	reason	reason	NOUN
ajema-7710	17	24	computerized	computerized	ADJ
ajema-7710	17	25	programmable	programmable	ADJ
ajema-7710	17	26	devices	device	NOUN
ajema-7710	17	27	,	,	PUNCT
ajema-7710	17	28	such	such	ADJ
ajema-7710	17	29	as	as	ADP
ajema-7710	17	30	fpgas	fpgas	NOUN
ajema-7710	17	31	[	[	X
ajema-7710	17	32	4	4	NUM
ajema-7710	17	33	]	]	PUNCT
ajema-7710	17	34	.	.	PUNCT
ajema-7710	18	1	cognitive	cognitive	ADJ
ajema-7710	18	2	radio	radio	NOUN
ajema-7710	18	3	(	(	PUNCT
ajema-7710	18	4	cr	cr	NOUN
ajema-7710	18	5	)	)	PUNCT
ajema-7710	18	6	is	be	AUX
ajema-7710	18	7	an	an	DET
ajema-7710	18	8	example	example	NOUN
ajema-7710	18	9	of	of	ADP
ajema-7710	18	10	such	such	ADJ
ajema-7710	18	11	reconfigurable	reconfigurable	ADJ
ajema-7710	18	12	and	and	CCONJ
ajema-7710	18	13	adaptable	adaptable	ADJ
ajema-7710	18	14	innovations	innovation	NOUN
ajema-7710	18	15	.	.	PUNCT
ajema-7710	19	1	programming	programming	NOUN
ajema-7710	19	2	characterized	characterize	VERB
ajema-7710	19	3	radio	radio	NOUN
ajema-7710	19	4	(	(	PUNCT
ajema-7710	19	5	sdr)-based	sdr)-base	VERB
ajema-7710	19	6	cr	cr	NOUN
ajema-7710	19	7	frameworks	framework	NOUN
ajema-7710	19	8	are	be	AUX
ajema-7710	19	9	full	full	ADJ
ajema-7710	19	10	-	-	PUNCT
ajema-7710	19	11	duplex	duplex	NOUN
ajema-7710	19	12	,	,	PUNCT
ajema-7710	19	13	wideband	wideband	NOUN
ajema-7710	19	14	phones	phone	NOUN
ajema-7710	19	15	.	.	PUNCT
ajema-7710	20	1	despite	despite	SCONJ
ajema-7710	20	2	the	the	DET
ajema-7710	20	3	earlier	early	ADV
ajema-7710	20	4	mentioned	mention	VERB
ajema-7710	20	5	sources	source	NOUN
ajema-7710	20	6	of	of	ADP
ajema-7710	20	7	noise	noise	NOUN
ajema-7710	20	8	,	,	PUNCT
ajema-7710	20	9	cr	cr	NOUN
ajema-7710	20	10	frameworks	framework	NOUN
ajema-7710	20	11	are	be	AUX
ajema-7710	20	12	impacted	impact	VERB
ajema-7710	20	13	by	by	ADP
ajema-7710	20	14	certain	certain	ADJ
ajema-7710	20	15	205	205	NUM
ajema-7710	20	16	journal	journal	NOUN
ajema-7710	20	17	of	of	ADP
ajema-7710	20	18	engineering	engineering	NOUN
ajema-7710	20	19	,	,	PUNCT
ajema-7710	20	20	mechanics	mechanic	NOUN
ajema-7710	20	21	and	and	CCONJ
ajema-7710	20	22	architecture	architecture	NOUN
ajema-7710	20	23	www	www	NOUN
ajema-7710	20	24	.	.	PUNCT
ajema-7710	21	1	grnjournal.us	grnjournal.us	X
ajema-7710	21	2	nonlinear	nonlinear	ADJ
ajema-7710	21	3	framework	framework	NOUN
ajema-7710	21	4	-	-	PUNCT
ajema-7710	21	5	induced	induce	VERB
ajema-7710	21	6	noise	noise	NOUN
ajema-7710	21	7	since	since	SCONJ
ajema-7710	21	8	cr	cr	PROPN
ajema-7710	21	9	must	must	AUX
ajema-7710	21	10	perform	perform	VERB
ajema-7710	21	11	several	several	ADJ
ajema-7710	21	12	sophisticated	sophisticated	ADJ
ajema-7710	21	13	and	and	CCONJ
ajema-7710	21	14	intricate	intricate	ADJ
ajema-7710	21	15	signal	signal	NOUN
ajema-7710	21	16	handling	handling	NOUN
ajema-7710	21	17	duties	duty	NOUN
ajema-7710	21	18	throughout	throughout	ADP
ajema-7710	21	19	a	a	DET
ajema-7710	21	20	broad	broad	ADJ
ajema-7710	21	21	range	range	NOUN
ajema-7710	21	22	of	of	ADP
ajema-7710	21	23	recurrence	recurrence	NOUN
ajema-7710	21	24	groups	group	NOUN
ajema-7710	21	25	.	.	PUNCT
ajema-7710	22	1	the	the	DET
ajema-7710	22	2	blockage	blockage	NOUN
ajema-7710	22	3	caused	cause	VERB
ajema-7710	22	4	by	by	ADP
ajema-7710	22	5	various	various	ADJ
ajema-7710	22	6	groups	group	NOUN
ajema-7710	22	7	during	during	ADP
ajema-7710	22	8	range	range	NOUN
ajema-7710	22	9	detection	detection	NOUN
ajema-7710	22	10	,	,	PUNCT
ajema-7710	22	11	the	the	DET
ajema-7710	22	12	noise	noise	NOUN
ajema-7710	22	13	immersion	immersion	NOUN
ajema-7710	22	14	of	of	ADP
ajema-7710	22	15	the	the	DET
ajema-7710	22	16	cr	cr	PROPN
ajema-7710	22	17	beneficiary	beneficiary	PROPN
ajema-7710	22	18	by	by	ADP
ajema-7710	22	19	the	the	DET
ajema-7710	22	20	colocated	colocate	VERB
ajema-7710	22	21	cr	cr	PROPN
ajema-7710	22	22	transmitter	transmitter	NOUN
ajema-7710	22	23	operating	operate	VERB
ajema-7710	22	24	concurrently	concurrently	ADV
ajema-7710	22	25	and	and	CCONJ
ajema-7710	22	26	the	the	DET
ajema-7710	22	27	recurrence	recurrence	NOUN
ajema-7710	22	28	band	band	NOUN
ajema-7710	22	29	during	during	ADP
ajema-7710	22	30	full	full	ADJ
ajema-7710	22	31	-	-	PUNCT
ajema-7710	22	32	duplex	duplex	NOUN
ajema-7710	22	33	communication	communication	NOUN
ajema-7710	22	34	,	,	PUNCT
ajema-7710	22	35	and	and	CCONJ
ajema-7710	22	36	framework	framework	NOUN
ajema-7710	22	37	non	non	ADJ
ajema-7710	22	38	-	-	ADJ
ajema-7710	22	39	linearity	linearity	ADJ
ajema-7710	22	40	can	can	AUX
ajema-7710	22	41	all	all	ADV
ajema-7710	22	42	contribute	contribute	VERB
ajema-7710	22	43	to	to	ADP
ajema-7710	22	44	noise	noise	NOUN
ajema-7710	22	45	in	in	ADP
ajema-7710	22	46	cr	cr	NOUN
ajema-7710	22	47	[	[	X
ajema-7710	22	48	6	6	NUM
ajema-7710	22	49	]	]	PUNCT
ajema-7710	22	50	.	.	PUNCT
ajema-7710	23	1	non	non	ADJ
ajema-7710	23	2	-	-	ADJ
ajema-7710	23	3	slope	slope	ADJ
ajema-7710	23	4	computations	computation	NOUN
ajema-7710	23	5	,	,	PUNCT
ajema-7710	23	6	also	also	ADV
ajema-7710	23	7	known	know	VERB
ajema-7710	23	8	as	as	ADP
ajema-7710	23	9	worldwide	worldwide	ADJ
ajema-7710	23	10	inquiry	inquiry	NOUN
ajema-7710	23	11	optimization	optimization	NOUN
ajema-7710	23	12	methods	method	NOUN
ajema-7710	23	13	,	,	PUNCT
ajema-7710	23	14	can	can	AUX
ajema-7710	23	15	be	be	AUX
ajema-7710	23	16	used	use	VERB
ajema-7710	23	17	to	to	PART
ajema-7710	23	18	overcome	overcome	VERB
ajema-7710	23	19	the	the	DET
ajema-7710	23	20	problem	problem	NOUN
ajema-7710	23	21	of	of	ADP
ajema-7710	23	22	locating	locate	VERB
ajema-7710	23	23	worldwide	worldwide	ADV
ajema-7710	23	24	minima	minima	NOUN
ajema-7710	23	25	of	of	ADP
ajema-7710	23	26	a	a	DET
ajema-7710	23	27	blunder	blunder	NOUN
ajema-7710	23	28	surface	surface	NOUN
ajema-7710	23	29	.	.	PUNCT
ajema-7710	24	1	examples	example	NOUN
ajema-7710	24	2	of	of	ADP
ajema-7710	24	3	these	these	DET
ajema-7710	24	4	computations	computation	NOUN
ajema-7710	24	5	are	be	AUX
ajema-7710	24	6	molecular	molecular	ADJ
ajema-7710	24	7	swarm	swarm	NOUN
ajema-7710	24	8	optimization	optimization	NOUN
ajema-7710	24	9	,	,	PUNCT
ajema-7710	24	10	cuckoo	cuckoo	NOUN
ajema-7710	24	11	search	search	NOUN
ajema-7710	24	12	,	,	PUNCT
ajema-7710	24	13	hereditary	hereditary	ADJ
ajema-7710	24	14	,	,	PUNCT
ajema-7710	24	15	and	and	CCONJ
ajema-7710	24	16	artificial	artificial	ADJ
ajema-7710	24	17	honey	honey	NOUN
ajema-7710	24	18	bee	bee	PROPN
ajema-7710	24	19	province	province	PROPN
ajema-7710	24	20	(	(	PUNCT
ajema-7710	24	21	abc	abc	PROPN
ajema-7710	24	22	)	)	PUNCT
ajema-7710	24	23	.	.	PUNCT
ajema-7710	25	1	for	for	ADP
ajema-7710	25	2	the	the	DET
ajema-7710	25	3	cycle	cycle	NOUN
ajema-7710	25	4	of	of	ADP
ajema-7710	25	5	transformation	transformation	NOUN
ajema-7710	25	6	and	and	CCONJ
ajema-7710	25	7	hybrid	hybrid	NOUN
ajema-7710	25	8	to	to	PART
ajema-7710	25	9	unite	unite	VERB
ajema-7710	25	10	at	at	ADP
ajema-7710	25	11	a	a	DET
ajema-7710	25	12	constant	constant	ADJ
ajema-7710	25	13	pace	pace	NOUN
ajema-7710	25	14	,	,	PUNCT
ajema-7710	25	15	several	several	ADJ
ajema-7710	25	16	of	of	ADP
ajema-7710	25	17	these	these	DET
ajema-7710	25	18	computations	computation	NOUN
ajema-7710	25	19	,	,	PUNCT
ajema-7710	25	20	such	such	ADJ
ajema-7710	25	21	as	as	ADP
ajema-7710	25	22	the	the	DET
ajema-7710	25	23	hereditary	hereditary	ADJ
ajema-7710	25	24	calculation	calculation	NOUN
ajema-7710	25	25	,	,	PUNCT
ajema-7710	25	26	necessitate	necessitate	ADJ
ajema-7710	25	27	selecting	select	VERB
ajema-7710	25	28	appropriate	appropriate	ADJ
ajema-7710	25	29	introduction	introduction	NOUN
ajema-7710	25	30	esteems	esteem	VERB
ajema-7710	25	31	[	[	X
ajema-7710	25	32	11	11	NUM
ajema-7710	25	33	]	]	PUNCT
ajema-7710	25	34	.	.	PUNCT
ajema-7710	26	1	finding	find	VERB
ajema-7710	26	2	appropriate	appropriate	ADJ
ajema-7710	26	3	attributes	attribute	NOUN
ajema-7710	26	4	for	for	ADP
ajema-7710	26	5	this	this	DET
ajema-7710	26	6	introduction	introduction	NOUN
ajema-7710	26	7	of	of	ADP
ajema-7710	26	8	components	component	NOUN
ajema-7710	26	9	is	be	AUX
ajema-7710	26	10	often	often	ADV
ajema-7710	26	11	seen	see	VERB
ajema-7710	26	12	as	as	ADP
ajema-7710	26	13	case	case	NOUN
ajema-7710	26	14	-	-	PUNCT
ajema-7710	26	15	subordinate	subordinate	NOUN
ajema-7710	26	16	and	and	CCONJ
ajema-7710	26	17	evaluated	evaluate	VERB
ajema-7710	26	18	using	use	VERB
ajema-7710	26	19	precise	precise	ADJ
ajema-7710	26	20	perceptions	perception	NOUN
ajema-7710	26	21	.	.	PUNCT
ajema-7710	27	1	by	by	ADP
ajema-7710	27	2	presenting	present	VERB
ajema-7710	27	3	focused	focused	ADJ
ajema-7710	27	4	adaptive	adaptive	ADJ
ajema-7710	27	5	methodologies	methodology	NOUN
ajema-7710	27	6	for	for	ADP
ajema-7710	27	7	describing	describe	VERB
ajema-7710	27	8	the	the	DET
ajema-7710	27	9	instatement	instatement	ADJ
ajema-7710	27	10	elements	element	NOUN
ajema-7710	27	11	,	,	PUNCT
ajema-7710	27	12	a	a	DET
ajema-7710	27	13	few	few	ADJ
ajema-7710	27	14	further	further	ADJ
ajema-7710	27	15	studies	study	NOUN
ajema-7710	27	16	suggested	suggest	VERB
ajema-7710	27	17	further	further	ADJ
ajema-7710	27	18	refined	refined	ADJ
ajema-7710	27	19	adaptation	adaptation	NOUN
ajema-7710	27	20	of	of	ADP
ajema-7710	27	21	these	these	DET
ajema-7710	27	22	computations	computation	NOUN
ajema-7710	27	23	.	.	PUNCT
ajema-7710	28	1	[	[	X
ajema-7710	28	2	11	11	NUM
ajema-7710	28	3	13	13	NUM
ajema-7710	28	4	]	]	PUNCT
ajema-7710	28	5	.	.	PUNCT
ajema-7710	29	1	the	the	DET
ajema-7710	29	2	improved	improved	ADJ
ajema-7710	29	3	pso	pso	NOUN
ajema-7710	29	4	calculation	calculation	NOUN
ajema-7710	29	5	,	,	PUNCT
ajema-7710	29	6	then	then	ADV
ajema-7710	29	7	again	again	ADV
ajema-7710	29	8	,	,	PUNCT
ajema-7710	29	9	does	do	AUX
ajema-7710	29	10	n't	not	PART
ajema-7710	29	11	depend	depend	VERB
ajema-7710	29	12	on	on	ADP
ajema-7710	29	13	a	a	DET
ajema-7710	29	14	particular	particular	ADJ
ajema-7710	29	15	single	single	ADJ
ajema-7710	29	16	variable	variable	ADJ
ajema-7710	29	17	introduction	introduction	NOUN
ajema-7710	29	18	,	,	PUNCT
ajema-7710	29	19	like	like	ADP
ajema-7710	29	20	the	the	DET
ajema-7710	29	21	progression	progression	NOUN
ajema-7710	29	22	size	size	NOUN
ajema-7710	29	23	in	in	ADP
ajema-7710	29	24	angle	angle	NOUN
ajema-7710	29	25	calculations	calculation	NOUN
ajema-7710	29	26	and	and	CCONJ
ajema-7710	29	27	is	be	AUX
ajema-7710	29	28	less	less	ADV
ajema-7710	29	29	complicated	complicated	ADJ
ajema-7710	29	30	[	[	X
ajema-7710	29	31	14	14	NUM
ajema-7710	29	32	]	]	PUNCT
ajema-7710	29	33	.	.	PUNCT
ajema-7710	30	1	as	as	ADV
ajema-7710	30	2	far	far	ADV
ajema-7710	30	3	as	as	SCONJ
ajema-7710	30	4	we	we	PRON
ajema-7710	30	5	could	could	AUX
ajema-7710	30	6	possibly	possibly	ADV
ajema-7710	30	7	know	know	VERB
ajema-7710	30	8	,	,	PUNCT
ajema-7710	30	9	the	the	DET
ajema-7710	30	10	possibility	possibility	NOUN
ajema-7710	30	11	of	of	ADP
ajema-7710	30	12	utilizing	utilize	VERB
ajema-7710	30	13	developmental	developmental	ADJ
ajema-7710	30	14	calculation	calculation	NOUN
ajema-7710	30	15	based	base	VERB
ajema-7710	30	16	adaptive	adaptive	ADJ
ajema-7710	30	17	channels	channel	NOUN
ajema-7710	30	18	,	,	PUNCT
ajema-7710	30	19	explicitly	explicitly	ADV
ajema-7710	30	20	for	for	ADP
ajema-7710	30	21	cr	cr	NOUN
ajema-7710	30	22	frameworks	framework	NOUN
ajema-7710	30	23	,	,	PUNCT
ajema-7710	30	24	has	have	AUX
ajema-7710	30	25	not	not	PART
ajema-7710	30	26	yet	yet	ADV
ajema-7710	30	27	been	be	AUX
ajema-7710	30	28	investigated	investigate	VERB
ajema-7710	30	29	.	.	PUNCT
ajema-7710	31	1	however	however	ADV
ajema-7710	31	2	,	,	PUNCT
ajema-7710	31	3	some	some	DET
ajema-7710	31	4	exploration	exploration	NOUN
ajema-7710	31	5	works	work	NOUN
ajema-7710	31	6	proposed	propose	VERB
ajema-7710	31	7	and	and	CCONJ
ajema-7710	31	8	carried	carry	VERB
ajema-7710	31	9	out	out	ADP
ajema-7710	31	10	inclination	inclination	NOUN
ajema-7710	31	11	calculations	calculation	NOUN
ajema-7710	31	12	for	for	ADP
ajema-7710	31	13	noise	noise	NOUN
ajema-7710	31	14	abrogation	abrogation	NOUN
ajema-7710	31	15	in	in	ADP
ajema-7710	31	16	cr	cr	PROPN
ajema-7710	31	17	framework	framework	PROPN
ajema-7710	31	18	's	's	PART
ajema-7710	31	19	[	[	X
ajema-7710	31	20	15	15	NUM
ajema-7710	31	21	16	16	NUM
ajema-7710	31	22	]	]	PUNCT
ajema-7710	31	23	.	.	PUNCT
ajema-7710	32	1	consequently	consequently	ADV
ajema-7710	32	2	,	,	PUNCT
ajema-7710	32	3	the	the	DET
ajema-7710	32	4	effectiveness	effectiveness	NOUN
ajema-7710	32	5	of	of	ADP
ajema-7710	32	6	using	use	VERB
ajema-7710	32	7	dynamic	dynamic	ADJ
ajema-7710	32	8	optimization	optimization	NOUN
ajema-7710	32	9	function	function	NOUN
ajema-7710	32	10	pso	pso	NOUN
ajema-7710	32	11	(	(	PUNCT
ajema-7710	32	12	dofpso	dofpso	PROPN
ajema-7710	32	13	)	)	PUNCT
ajema-7710	32	14	for	for	ADP
ajema-7710	32	15	denoising	denoise	VERB
ajema-7710	32	16	signals	signal	NOUN
ajema-7710	32	17	in	in	ADP
ajema-7710	32	18	cr	cr	NOUN
ajema-7710	32	19	frameworks	framework	NOUN
ajema-7710	32	20	is	be	AUX
ajema-7710	32	21	investigated	investigate	VERB
ajema-7710	32	22	in	in	ADP
ajema-7710	32	23	this	this	DET
ajema-7710	32	24	article	article	NOUN
ajema-7710	32	25	.	.	PUNCT
ajema-7710	33	1	the	the	DET
ajema-7710	33	2	research	research	NOUN
ajema-7710	33	3	also	also	ADV
ajema-7710	33	4	considers	consider	VERB
ajema-7710	33	5	dofpso	dofpso	PROPN
ajema-7710	33	6	's	's	PART
ajema-7710	33	7	efficacy	efficacy	NOUN
ajema-7710	33	8	in	in	ADP
ajema-7710	33	9	comparison	comparison	NOUN
ajema-7710	33	10	to	to	ADP
ajema-7710	33	11	the	the	DET
ajema-7710	33	12	lms	lm	NOUN
ajema-7710	33	13	calculation	calculation	NOUN
ajema-7710	33	14	.	.	PUNCT
ajema-7710	34	1	reproductions	reproduction	NOUN
ajema-7710	34	2	are	be	AUX
ajema-7710	34	3	used	use	VERB
ajema-7710	34	4	to	to	PART
ajema-7710	34	5	simulate	simulate	VERB
ajema-7710	34	6	information	information	NOUN
ajema-7710	34	7	transfer	transfer	NOUN
ajema-7710	34	8	between	between	ADP
ajema-7710	34	9	two	two	NUM
ajema-7710	34	10	intellectual	intellectual	ADJ
ajema-7710	34	11	radio	radio	NOUN
ajema-7710	34	12	units	unit	NOUN
ajema-7710	34	13	in	in	ADP
ajema-7710	34	14	order	order	NOUN
ajema-7710	34	15	to	to	PART
ajema-7710	34	16	evaluate	evaluate	VERB
ajema-7710	34	17	how	how	SCONJ
ajema-7710	34	18	each	each	DET
ajema-7710	34	19	computation	computation	NOUN
ajema-7710	34	20	is	be	AUX
ajema-7710	34	21	presented	present	VERB
ajema-7710	34	22	.	.	PUNCT
ajema-7710	35	1	to	to	PART
ajema-7710	35	2	replicate	replicate	VERB
ajema-7710	35	3	the	the	DET
ajema-7710	35	4	framework	framework	NOUN
ajema-7710	35	5	-	-	PUNCT
ajema-7710	35	6	initiated	initiate	VERB
ajema-7710	35	7	noise	noise	NOUN
ajema-7710	35	8	in	in	ADP
ajema-7710	35	9	intellectual	intellectual	ADJ
ajema-7710	35	10	radios	radio	NOUN
ajema-7710	35	11	,	,	PUNCT
ajema-7710	35	12	both	both	DET
ajema-7710	35	13	non	non	ADJ
ajema-7710	35	14	-	-	ADJ
ajema-7710	35	15	straight	straight	ADJ
ajema-7710	35	16	irregular	irregular	ADJ
ajema-7710	35	17	noise	noise	NOUN
ajema-7710	35	18	and	and	CCONJ
ajema-7710	35	19	white	white	ADJ
ajema-7710	35	20	gaussian	gaussian	NOUN
ajema-7710	35	21	noise	noise	NOUN
ajema-7710	35	22	(	(	PUNCT
ajema-7710	35	23	awgn	awgn	NOUN
ajema-7710	35	24	)	)	PUNCT
ajema-7710	35	25	are	be	AUX
ajema-7710	35	26	introduced	introduce	VERB
ajema-7710	35	27	to	to	ADP
ajema-7710	35	28	the	the	DET
ajema-7710	35	29	received	receive	VERB
ajema-7710	35	30	signal	signal	NOUN
ajema-7710	35	31	at	at	ADP
ajema-7710	35	32	the	the	DET
ajema-7710	35	33	receiver	receiver	ADJ
ajema-7710	35	34	end	end	NOUN
ajema-7710	35	35	.	.	PUNCT
ajema-7710	36	1	this	this	DET
ajema-7710	36	2	paper	paper	NOUN
ajema-7710	36	3	's	's	PART
ajema-7710	36	4	adaptive	adaptive	ADJ
ajema-7710	36	5	separation	separation	NOUN
ajema-7710	36	6	framework	framework	NOUN
ajema-7710	36	7	is	be	AUX
ajema-7710	36	8	based	base	VERB
ajema-7710	36	9	on	on	ADP
ajema-7710	36	10	an	an	DET
ajema-7710	36	11	adaptive	adaptive	ADJ
ajema-7710	36	12	line	line	NOUN
ajema-7710	36	13	enhancer	enhancer	NOUN
ajema-7710	36	14	's	's	PART
ajema-7710	36	15	(	(	PUNCT
ajema-7710	36	16	ale	ale	NOUN
ajema-7710	36	17	)	)	PUNCT
ajema-7710	36	18	framework	framework	NOUN
ajema-7710	36	19	plan	plan	NOUN
ajema-7710	36	20	,	,	PUNCT
ajema-7710	36	21	the	the	DET
ajema-7710	36	22	nuances	nuance	NOUN
ajema-7710	36	23	of	of	ADP
ajema-7710	36	24	which	which	PRON
ajema-7710	36	25	are	be	AUX
ajema-7710	36	26	discussed	discuss	VERB
ajema-7710	36	27	in	in	ADP
ajema-7710	36	28	the	the	DET
ajema-7710	36	29	next	next	ADJ
ajema-7710	36	30	section	section	NOUN
ajema-7710	36	31	.	.	PUNCT
ajema-7710	37	1	this	this	DET
ajema-7710	37	2	paper	paper	NOUN
ajema-7710	37	3	is	be	AUX
ajema-7710	37	4	arranged	arrange	VERB
ajema-7710	37	5	as	as	SCONJ
ajema-7710	37	6	follows	follow	VERB
ajema-7710	37	7	.	.	PUNCT
ajema-7710	38	1	in	in	ADP
ajema-7710	38	2	section	section	NOUN
ajema-7710	38	3	2	2	NUM
ajema-7710	38	4	,	,	PUNCT
ajema-7710	38	5	a	a	DET
ajema-7710	38	6	description	description	NOUN
ajema-7710	38	7	of	of	ADP
ajema-7710	38	8	the	the	DET
ajema-7710	38	9	system	system	NOUN
ajema-7710	38	10	design	design	NOUN
ajema-7710	38	11	with	with	ADP
ajema-7710	38	12	a	a	DET
ajema-7710	38	13	structure	structure	NOUN
ajema-7710	38	14	of	of	ADP
ajema-7710	38	15	the	the	DET
ajema-7710	38	16	two	two	NUM
ajema-7710	38	17	algorithms	algorithm	NOUN
ajema-7710	38	18	have	have	AUX
ajema-7710	38	19	been	be	AUX
ajema-7710	38	20	presented	present	VERB
ajema-7710	38	21	.	.	PUNCT
ajema-7710	39	1	in	in	ADP
ajema-7710	39	2	section	section	NOUN
ajema-7710	39	3	3	3	NUM
ajema-7710	39	4	,	,	PUNCT
ajema-7710	39	5	the	the	DET
ajema-7710	39	6	results	result	NOUN
ajema-7710	39	7	of	of	ADP
ajema-7710	39	8	real	real	ADJ
ajema-7710	39	9	-	-	PUNCT
ajema-7710	39	10	time	time	NOUN
ajema-7710	39	11	waveforms	waveform	NOUN
ajema-7710	39	12	and	and	CCONJ
ajema-7710	39	13	the	the	DET
ajema-7710	39	14	two	two	NUM
ajema-7710	39	15	algorithms	algorithm	NOUN
ajema-7710	39	16	are	be	AUX
ajema-7710	39	17	analyzed	analyze	VERB
ajema-7710	39	18	with	with	ADP
ajema-7710	39	19	comparison	comparison	NOUN
ajema-7710	39	20	.	.	PUNCT
ajema-7710	40	1	at	at	ADP
ajema-7710	40	2	last	last	ADV
ajema-7710	40	3	,	,	PUNCT
ajema-7710	40	4	in	in	ADP
ajema-7710	40	5	section	section	NOUN
ajema-7710	40	6	4	4	NUM
ajema-7710	40	7	,	,	PUNCT
ajema-7710	40	8	the	the	DET
ajema-7710	40	9	conclusions	conclusion	NOUN
ajema-7710	40	10	and	and	CCONJ
ajema-7710	40	11	future	future	ADJ
ajema-7710	40	12	works	work	NOUN
ajema-7710	40	13	have	have	AUX
ajema-7710	40	14	been	be	AUX
ajema-7710	40	15	illustrated	illustrate	VERB
ajema-7710	40	16	.	.	PUNCT
ajema-7710	41	1	2	2	X
ajema-7710	41	2	.	.	X
ajema-7710	41	3	methodology	methodology	NOUN
ajema-7710	41	4	a	a	DET
ajema-7710	41	5	universal	universal	ADJ
ajema-7710	41	6	cognitive	cognitive	ADJ
ajema-7710	41	7	radio	radio	NOUN
ajema-7710	41	8	transceiver	transceiver	NOUN
ajema-7710	41	9	structure	structure	NOUN
ajema-7710	41	10	is	be	AUX
ajema-7710	41	11	shown	show	VERB
ajema-7710	41	12	in	in	ADP
ajema-7710	41	13	fig	fig	NOUN
ajema-7710	41	14	.	.	PUNCT
ajema-7710	42	1	1	1	X
ajema-7710	42	2	.	.	X
ajema-7710	42	3	the	the	DET
ajema-7710	42	4	cr	cr	PROPN
ajema-7710	42	5	transmitter	transmitter	PROPN
ajema-7710	42	6	utilized	utilize	VERB
ajema-7710	42	7	an	an	DET
ajema-7710	42	8	m	m	ADJ
ajema-7710	42	9	-	-	ADJ
ajema-7710	42	10	ary	ary	ADJ
ajema-7710	42	11	phase	phase	NOUN
ajema-7710	42	12	shift	shift	NOUN
ajema-7710	42	13	keying	keying	NOUN
ajema-7710	42	14	(	(	PUNCT
ajema-7710	42	15	m	m	NOUN
ajema-7710	42	16	-	-	PUNCT
ajema-7710	42	17	psk	psk	PROPN
ajema-7710	42	18	)	)	PUNCT
ajema-7710	42	19	modulation	modulation	NOUN
ajema-7710	42	20	technique	technique	NOUN
ajema-7710	42	21	to	to	PART
ajema-7710	42	22	ensure	ensure	VERB
ajema-7710	42	23	efficient	efficient	ADJ
ajema-7710	42	24	bit	bit	NOUN
ajema-7710	42	25	rate	rate	NOUN
ajema-7710	42	26	analysis	analysis	NOUN
ajema-7710	42	27	[	[	X
ajema-7710	42	28	1,3	1,3	NUM
ajema-7710	42	29	]	]	PUNCT
ajema-7710	42	30	.	.	PUNCT
ajema-7710	43	1	the	the	DET
ajema-7710	43	2	transmitted	transmit	VERB
ajema-7710	43	3	modulated	modulate	VERB
ajema-7710	43	4	signal	signal	NOUN
ajema-7710	43	5	,	,	PUNCT
ajema-7710	43	6	x(t	x(t	PROPN
ajema-7710	43	7	)	)	PUNCT
ajema-7710	43	8	is	be	AUX
ajema-7710	43	9	transferred	transfer	VERB
ajema-7710	43	10	through	through	ADP
ajema-7710	43	11	a	a	DET
ajema-7710	43	12	noisy	noisy	ADJ
ajema-7710	43	13	communication	communication	NOUN
ajema-7710	43	14	channel	channel	NOUN
ajema-7710	43	15	influenced	influence	VERB
ajema-7710	43	16	with	with	ADP
ajema-7710	43	17	awgn	awgn	NOUN
ajema-7710	43	18	.	.	PUNCT
ajema-7710	44	1	the	the	DET
ajema-7710	44	2	awgn	awgn	NOUN
ajema-7710	44	3	signal	signal	NOUN
ajema-7710	44	4	,	,	PUNCT
ajema-7710	44	5	n(t	n(t	PROPN
ajema-7710	44	6	)	)	PUNCT
ajema-7710	44	7	has	have	AUX
ajema-7710	44	8	been	be	AUX
ajema-7710	44	9	additively	additively	ADV
ajema-7710	44	10	combined	combine	VERB
ajema-7710	44	11	with	with	ADP
ajema-7710	44	12	the	the	DET
ajema-7710	44	13	digitally	digitally	ADV
ajema-7710	44	14	modulated	modulate	VERB
ajema-7710	44	15	information	information	NOUN
ajema-7710	44	16	signal	signal	NOUN
ajema-7710	44	17	,	,	PUNCT
ajema-7710	44	18	and	and	CCONJ
ajema-7710	44	19	received	receive	VERB
ajema-7710	44	20	at	at	ADP
ajema-7710	44	21	the	the	DET
ajema-7710	44	22	cr	cr	PROPN
ajema-7710	44	23	receiver	receiver	NOUN
ajema-7710	44	24	section	section	NOUN
ajema-7710	44	25	.	.	PUNCT
ajema-7710	45	1	the	the	DET
ajema-7710	45	2	received	receive	VERB
ajema-7710	45	3	noisy	noisy	ADJ
ajema-7710	45	4	signal	signal	NOUN
ajema-7710	45	5	,	,	PUNCT
ajema-7710	45	6	r(t	r(t	NOUN
ajema-7710	45	7	)	)	PUNCT
ajema-7710	45	8	is	be	AUX
ajema-7710	45	9	then	then	ADV
ajema-7710	45	10	sampled	sample	VERB
ajema-7710	45	11	as	as	ADV
ajema-7710	45	12	well	well	ADV
ajema-7710	45	13	passed	pass	VERB
ajema-7710	45	14	to	to	ADP
ajema-7710	45	15	the	the	DET
ajema-7710	45	16	adaptive	adaptive	ADJ
ajema-7710	45	17	noise	noise	NOUN
ajema-7710	45	18	cancellation	cancellation	NOUN
ajema-7710	45	19	scheme	scheme	NOUN
ajema-7710	45	20	.	.	PUNCT
ajema-7710	46	1	in	in	ADP
ajema-7710	46	2	this	this	DET
ajema-7710	46	3	system	system	NOUN
ajema-7710	46	4	the	the	DET
ajema-7710	46	5	ale	ale	NOUN
ajema-7710	46	6	based	base	VERB
ajema-7710	46	7	filtering	filtering	NOUN
ajema-7710	46	8	scheme	scheme	NOUN
ajema-7710	46	9	has	have	AUX
ajema-7710	46	10	been	be	AUX
ajema-7710	46	11	implemented	implement	VERB
ajema-7710	46	12	instead	instead	ADV
ajema-7710	46	13	of	of	ADP
ajema-7710	46	14	the	the	DET
ajema-7710	46	15	active	active	ADJ
ajema-7710	46	16	noise	noise	NOUN
ajema-7710	46	17	control	control	NOUN
ajema-7710	46	18	(	(	PUNCT
ajema-7710	46	19	anc	anc	PROPN
ajema-7710	46	20	)	)	PUNCT
ajema-7710	46	21	filtering	filter	VERB
ajema-7710	46	22	model	model	NOUN
ajema-7710	46	23	,	,	PUNCT
ajema-7710	46	24	since	since	SCONJ
ajema-7710	46	25	the	the	DET
ajema-7710	46	26	first	first	ADJ
ajema-7710	46	27	utilizes	utilizes	ADJ
ajema-7710	46	28	single	single	ADJ
ajema-7710	46	29	sensor	sensor	NOUN
ajema-7710	46	30	while	while	SCONJ
ajema-7710	46	31	the	the	DET
ajema-7710	46	32	second	second	ADJ
ajema-7710	46	33	need	need	VERB
ajema-7710	46	34	a	a	DET
ajema-7710	46	35	primary	primary	ADJ
ajema-7710	46	36	and	and	CCONJ
ajema-7710	46	37	reference	reference	NOUN
ajema-7710	46	38	sensor	sensor	NOUN
ajema-7710	46	39	[	[	X
ajema-7710	46	40	1	1	NUM
ajema-7710	46	41	]	]	PUNCT
ajema-7710	46	42	.	.	PUNCT
ajema-7710	47	1	the	the	DET
ajema-7710	47	2	noisy	noisy	ADJ
ajema-7710	47	3	received	receive	VERB
ajema-7710	47	4	signal	signal	NOUN
ajema-7710	47	5	,	,	PUNCT
ajema-7710	47	6	d(t	d(t	PROPN
ajema-7710	47	7	)	)	PUNCT
ajema-7710	47	8	has	have	AUX
ajema-7710	47	9	been	be	AUX
ajema-7710	47	10	passed	pass	VERB
ajema-7710	47	11	to	to	ADP
ajema-7710	47	12	the	the	DET
ajema-7710	47	13	ale	ale	NOUN
ajema-7710	47	14	system	system	NOUN
ajema-7710	47	15	,	,	PUNCT
ajema-7710	47	16	with	with	ADP
ajema-7710	47	17	sort	sort	NOUN
ajema-7710	47	18	of	of	ADP
ajema-7710	47	19	delay	delay	NOUN
ajema-7710	47	20	,	,	PUNCT
ajema-7710	47	21	z−∆	z−∆	INTJ
ajema-7710	47	22	,	,	PUNCT
ajema-7710	47	23	and	and	CCONJ
ajema-7710	47	24	result	result	VERB
ajema-7710	47	25	a	a	DET
ajema-7710	47	26	delayed	delay	VERB
ajema-7710	47	27	copy	copy	NOUN
ajema-7710	47	28	of	of	ADP
ajema-7710	47	29	y(t	y(t	PROPN
ajema-7710	47	30	)	)	PUNCT
ajema-7710	47	31	,	,	PUNCT
ajema-7710	47	32	denoted	denote	VERB
ajema-7710	47	33	as	as	ADP
ajema-7710	47	34	:	:	PUNCT
ajema-7710	47	35	ŷ(t	ŷ(t	NOUN
ajema-7710	47	36	)	)	PUNCT
ajema-7710	47	37	as	as	SCONJ
ajema-7710	47	38	demonstrated	demonstrate	VERB
ajema-7710	47	39	in	in	ADP
ajema-7710	47	40	fig	fig	NOUN
ajema-7710	47	41	.	.	PUNCT
ajema-7710	48	1	2	2	NUM
ajema-7710	49	1	[	[	X
ajema-7710	49	2	1	1	NUM
ajema-7710	49	3	]	]	PUNCT
ajema-7710	49	4	.	.	PUNCT
ajema-7710	50	1	the	the	DET
ajema-7710	50	2	noise	noise	NOUN
ajema-7710	50	3	will	will	AUX
ajema-7710	50	4	be	be	AUX
ajema-7710	50	5	suppressed	suppress	VERB
ajema-7710	50	6	after	after	ADP
ajema-7710	50	7	estimating	estimate	VERB
ajema-7710	50	8	the	the	DET
ajema-7710	50	9	resulting	result	VERB
ajema-7710	50	10	output	output	NOUN
ajema-7710	50	11	signal	signal	NOUN
ajema-7710	50	12	y(t	y(t	PROPN
ajema-7710	50	13	)	)	PUNCT
ajema-7710	50	14	through	through	ADP
ajema-7710	50	15	updating	update	VERB
ajema-7710	50	16	the	the	DET
ajema-7710	50	17	weight	weight	NOUN
ajema-7710	50	18	parameters	parameter	NOUN
ajema-7710	50	19	w(n	w(n	PROPN
ajema-7710	50	20	)	)	PUNCT
ajema-7710	50	21	of	of	ADP
ajema-7710	50	22	the	the	DET
ajema-7710	50	23	ale	ale	NOUN
ajema-7710	50	24	filter	filter	NOUN
ajema-7710	50	25	.	.	PUNCT
ajema-7710	51	1	this	this	PRON
ajema-7710	51	2	might	might	AUX
ajema-7710	51	3	be	be	AUX
ajema-7710	51	4	represented	represent	VERB
ajema-7710	51	5	in	in	ADP
ajema-7710	51	6	mathematical	mathematical	ADJ
ajema-7710	51	7	equations	equation	NOUN
ajema-7710	51	8	as	as	SCONJ
ajema-7710	51	9	follows	follow	VERB
ajema-7710	51	10	:	:	PUNCT
ajema-7710	51	11	(	(	PUNCT
ajema-7710	51	12	1	1	X
ajema-7710	51	13	)	)	PUNCT
ajema-7710	51	14	(	(	PUNCT
ajema-7710	51	15	2	2	NUM
ajema-7710	51	16	)	)	PUNCT
ajema-7710	51	17	(	(	PUNCT
ajema-7710	51	18	3	3	X
ajema-7710	51	19	)	)	PUNCT
ajema-7710	51	20	such	such	ADJ
ajema-7710	51	21	that	that	PRON
ajema-7710	51	22	,	,	PUNCT
ajema-7710	51	23	l	l	NOUN
ajema-7710	51	24	is	be	AUX
ajema-7710	51	25	the	the	DET
ajema-7710	51	26	order	order	NOUN
ajema-7710	51	27	of	of	ADP
ajema-7710	51	28	adaptive	adaptive	ADJ
ajema-7710	51	29	filter	filter	NOUN
ajema-7710	51	30	also	also	ADV
ajema-7710	51	31	,	,	PUNCT
ajema-7710	51	32	t	t	PROPN
ajema-7710	51	33	denotes	denote	VERB
ajema-7710	51	34	the	the	DET
ajema-7710	51	35	vector	vector	PROPN
ajema-7710	51	36	transpose	transpose	NOUN
ajema-7710	51	37	.	.	PUNCT
ajema-7710	52	1	as	as	SCONJ
ajema-7710	52	2	depicted	depict	VERB
ajema-7710	52	3	in	in	ADP
ajema-7710	52	4	literature	literature	NOUN
ajema-7710	52	5	[	[	X
ajema-7710	52	6	3	3	NUM
ajema-7710	52	7	]	]	PUNCT
ajema-7710	52	8	,	,	PUNCT
ajema-7710	52	9	optimal	optimal	ADJ
ajema-7710	52	10	weights	weight	NOUN
ajema-7710	52	11	have	have	AUX
ajema-7710	52	12	been	be	AUX
ajema-7710	52	13	estimated	estimate	VERB
ajema-7710	52	14	when	when	SCONJ
ajema-7710	52	15	the	the	DET
ajema-7710	52	16	error	error	NOUN
ajema-7710	52	17	signal	signal	NOUN
ajema-7710	52	18	e(t	e(t	PROPN
ajema-7710	52	19	)	)	PUNCT
ajema-7710	52	20	,	,	PUNCT
ajema-7710	52	21	is	be	AUX
ajema-7710	52	22	minimized	minimize	VERB
ajema-7710	52	23	.	.	PUNCT
ajema-7710	53	1	206	206	NUM
ajema-7710	53	2	journal	journal	NOUN
ajema-7710	53	3	of	of	ADP
ajema-7710	53	4	engineering	engineering	NOUN
ajema-7710	53	5	,	,	PUNCT
ajema-7710	53	6	mechanics	mechanic	NOUN
ajema-7710	53	7	and	and	CCONJ
ajema-7710	53	8	architecture	architecture	NOUN
ajema-7710	53	9	www	www	NOUN
ajema-7710	53	10	.	.	PROPN
ajema-7710	54	1	grnjournal.us	grnjournal.us	X
ajema-7710	54	2	figure1	figure1	NUM
ajema-7710	54	3	:	:	PUNCT
ajema-7710	54	4	blok	blok	NOUN
ajema-7710	54	5	diagram	diagram	NOUN
ajema-7710	54	6	of	of	ADP
ajema-7710	54	7	pass	pass	NOUN
ajema-7710	54	8	-	-	PUNCT
ajema-7710	54	9	band	band	NOUN
ajema-7710	54	10	communication	communication	NOUN
ajema-7710	54	11	cr	cr	PROPN
ajema-7710	54	12	system	system	NOUN
ajema-7710	54	13	model	model	NOUN
ajema-7710	54	14	with	with	ADP
ajema-7710	54	15	noisy	noisy	ADJ
ajema-7710	54	16	channel	channel	NOUN
ajema-7710	54	17	.	.	PUNCT
ajema-7710	55	1	the	the	DET
ajema-7710	55	2	error	error	NOUN
ajema-7710	55	3	signal	signal	NOUN
ajema-7710	55	4	,	,	PUNCT
ajema-7710	55	5	e(t	e(t	PROPN
ajema-7710	55	6	)	)	PUNCT
ajema-7710	55	7	might	might	AUX
ajema-7710	55	8	be	be	AUX
ajema-7710	55	9	represented	represent	VERB
ajema-7710	55	10	as	as	ADP
ajema-7710	55	11	:	:	PUNCT
ajema-7710	55	12	𝒆(𝒏	𝒆(𝒏	NUM
ajema-7710	55	13	)	)	PUNCT
ajema-7710	55	14	=	=	SYM
ajema-7710	55	15	𝒅(𝒏	𝒅(𝒏	PROPN
ajema-7710	55	16	)	)	PUNCT
ajema-7710	55	17	−	−	NOUN
ajema-7710	55	18	𝒚(𝒏	𝒚(𝒏	PROPN
ajema-7710	55	19	)	)	PUNCT
ajema-7710	55	20	(	(	PUNCT
ajema-7710	55	21	4	4	X
ajema-7710	55	22	)	)	PUNCT
ajema-7710	55	23	after	after	ADP
ajema-7710	55	24	that	that	PRON
ajema-7710	55	25	,	,	PUNCT
ajema-7710	55	26	the	the	DET
ajema-7710	55	27	resulting	result	VERB
ajema-7710	55	28	output	output	NOUN
ajema-7710	55	29	filtered	filter	VERB
ajema-7710	55	30	signal	signal	NOUN
ajema-7710	55	31	,	,	PUNCT
ajema-7710	55	32	y(t	y(t	PROPN
ajema-7710	55	33	)	)	PUNCT
ajema-7710	55	34	is	be	AUX
ajema-7710	55	35	then	then	ADV
ajema-7710	55	36	received	receive	VERB
ajema-7710	55	37	and	and	CCONJ
ajema-7710	55	38	analyzed	analyze	VERB
ajema-7710	55	39	using	use	VERB
ajema-7710	55	40	the	the	DET
ajema-7710	55	41	analogto	analogto	ADJ
ajema-7710	55	42	-	-	PUNCT
ajema-7710	55	43	digital	digital	ADJ
ajema-7710	55	44	converter	converter	NOUN
ajema-7710	55	45	a	a	NOUN
ajema-7710	55	46	/	/	SYM
ajema-7710	55	47	d	d	NOUN
ajema-7710	55	48	to	to	PART
ajema-7710	55	49	reconstruct	reconstruct	VERB
ajema-7710	55	50	the	the	DET
ajema-7710	55	51	baseband	baseband	NOUN
ajema-7710	55	52	bits	bits	NOUN
ajema-7710	55	53	streams	stream	NOUN
ajema-7710	55	54	utilizing	utilize	VERB
ajema-7710	55	55	the	the	DET
ajema-7710	55	56	demodulation	demodulation	NOUN
ajema-7710	55	57	scheme	scheme	NOUN
ajema-7710	55	58	.	.	PUNCT
ajema-7710	56	1	a.	a.	PROPN
ajema-7710	56	2	dofpso	dofpso	PROPN
ajema-7710	56	3	adaptive	adaptive	ADJ
ajema-7710	56	4	noise	noise	NOUN
ajema-7710	56	5	cancellation	cancellation	NOUN
ajema-7710	56	6	one	one	NUM
ajema-7710	56	7	evolutionary	evolutionary	ADJ
ajema-7710	56	8	method	method	NOUN
ajema-7710	56	9	that	that	PRON
ajema-7710	56	10	relies	rely	VERB
ajema-7710	56	11	on	on	ADP
ajema-7710	56	12	the	the	DET
ajema-7710	56	13	stochastic	stochastic	ADJ
ajema-7710	56	14	global	global	ADJ
ajema-7710	56	15	optimization	optimization	NOUN
ajema-7710	56	16	technique	technique	NOUN
ajema-7710	56	17	is	be	AUX
ajema-7710	56	18	dofpso	dofpso	ADJ
ajema-7710	56	19	[	[	X
ajema-7710	56	20	11	11	NUM
ajema-7710	56	21	,	,	PUNCT
ajema-7710	56	22	18	18	NUM
ajema-7710	56	23	]	]	PUNCT
ajema-7710	56	24	.	.	PUNCT
ajema-7710	57	1	in	in	ADP
ajema-7710	57	2	adaptive	adaptive	ADJ
ajema-7710	57	3	noise	noise	NOUN
ajema-7710	57	4	cancellation	cancellation	NOUN
ajema-7710	57	5	,	,	PUNCT
ajema-7710	57	6	dofpso	dofpso	PROPN
ajema-7710	57	7	has	have	AUX
ajema-7710	57	8	been	be	AUX
ajema-7710	57	9	utilized	utilize	VERB
ajema-7710	57	10	with	with	ADP
ajema-7710	57	11	the	the	DET
ajema-7710	57	12	primary	primary	ADJ
ajema-7710	57	13	goal	goal	NOUN
ajema-7710	57	14	of	of	ADP
ajema-7710	57	15	minimizing	minimize	VERB
ajema-7710	57	16	the	the	DET
ajema-7710	57	17	remaining	remain	VERB
ajema-7710	57	18	noise	noise	NOUN
ajema-7710	57	19	signal	signal	NOUN
ajema-7710	57	20	by	by	ADP
ajema-7710	57	21	setting	set	VERB
ajema-7710	57	22	up	up	ADP
ajema-7710	57	23	the	the	DET
ajema-7710	57	24	adaptive	adaptive	ADJ
ajema-7710	57	25	filter	filter	NOUN
ajema-7710	57	26	's	's	PART
ajema-7710	57	27	weight	weight	NOUN
ajema-7710	57	28	coefficients	coefficient	NOUN
ajema-7710	57	29	optimally	optimally	ADV
ajema-7710	57	30	.	.	PUNCT
ajema-7710	58	1	as	as	SCONJ
ajema-7710	58	2	we	we	PRON
ajema-7710	58	3	estimate	estimate	VERB
ajema-7710	58	4	the	the	DET
ajema-7710	58	5	mean	mean	ADJ
ajema-7710	58	6	square	square	ADJ
ajema-7710	58	7	error	error	NOUN
ajema-7710	58	8	(	(	PUNCT
ajema-7710	58	9	mse	mse	NOUN
ajema-7710	58	10	)	)	PUNCT
ajema-7710	58	11	between	between	ADP
ajema-7710	58	12	the	the	DET
ajema-7710	58	13	adaptive	adaptive	ADJ
ajema-7710	58	14	filter	filter	NOUN
ajema-7710	58	15	result	result	NOUN
ajema-7710	58	16	signal	signal	VERB
ajema-7710	58	17	y(n	y(n	PROPN
ajema-7710	58	18	)	)	PUNCT
ajema-7710	58	19	and	and	CCONJ
ajema-7710	58	20	the	the	DET
ajema-7710	58	21	input	input	NOUN
ajema-7710	58	22	samples	sample	VERB
ajema-7710	58	23	d(n	d(n	NOUN
ajema-7710	58	24	)	)	PUNCT
ajema-7710	58	25	,	,	PUNCT
ajema-7710	58	26	we	we	PRON
ajema-7710	58	27	assess	assess	VERB
ajema-7710	58	28	the	the	DET
ajema-7710	58	29	cost	cost	NOUN
ajema-7710	58	30	function	function	NOUN
ajema-7710	58	31	of	of	ADP
ajema-7710	58	32	the	the	DET
ajema-7710	58	33	suggested	suggest	VERB
ajema-7710	58	34	dofpso	dofpso	PROPN
ajema-7710	58	35	method	method	NOUN
ajema-7710	58	36	.	.	PUNCT
ajema-7710	59	1	the	the	DET
ajema-7710	59	2	cost	cost	NOUN
ajema-7710	59	3	function	function	NOUN
ajema-7710	59	4	's	's	PART
ajema-7710	59	5	formulation	formulation	NOUN
ajema-7710	59	6	might	might	AUX
ajema-7710	59	7	be	be	AUX
ajema-7710	59	8	computed	compute	VERB
ajema-7710	59	9	as	as	SCONJ
ajema-7710	59	10	:	:	PUNCT
ajema-7710	59	11	𝐶𝑖,𝑘	𝐶𝑖,𝑘	PROPN
ajema-7710	59	12	=	=	NOUN
ajema-7710	59	13	1	1	NUM
ajema-7710	59	14	𝑁	𝑁	PROPN
ajema-7710	59	15	∑	∑	PUNCT
ajema-7710	59	16	𝑒𝑖,𝑘(𝑛)2𝑁	𝑒𝑖,𝑘(𝑛)2𝑁	PROPN
ajema-7710	59	17	𝑛=1	𝑛=1	NOUN
ajema-7710	59	18	(	(	PUNCT
ajema-7710	59	19	5	5	NUM
ajema-7710	59	20	)	)	PUNCT
ajema-7710	59	21	where	where	SCONJ
ajema-7710	59	22	ei	ei	NOUN
ajema-7710	59	23	,	,	PUNCT
ajema-7710	59	24	k	k	PROPN
ajema-7710	59	25	is	be	AUX
ajema-7710	59	26	the	the	DET
ajema-7710	59	27	error	error	NOUN
ajema-7710	59	28	waveform	waveform	NOUN
ajema-7710	59	29	at	at	ADP
ajema-7710	59	30	the	the	DET
ajema-7710	59	31	kth	kth	PROPN
ajema-7710	59	32	iteration	iteration	NOUN
ajema-7710	59	33	for	for	ADP
ajema-7710	59	34	the	the	DET
ajema-7710	59	35	ith	ith	PROPN
ajema-7710	59	36	particle	particle	NOUN
ajema-7710	59	37	,	,	PUNCT
ajema-7710	59	38	also	also	ADV
ajema-7710	59	39	n	n	PRON
ajema-7710	59	40	defined	define	VERB
ajema-7710	59	41	as	as	ADP
ajema-7710	59	42	the	the	DET
ajema-7710	59	43	input	input	NOUN
ajema-7710	59	44	samples	sample	VERB
ajema-7710	59	45	number	number	NOUN
ajema-7710	59	46	of	of	ADP
ajema-7710	59	47	the	the	DET
ajema-7710	59	48	ale	ale	NOUN
ajema-7710	59	49	filter	filter	NOUN
ajema-7710	60	1	[	[	X
ajema-7710	60	2	1	1	NUM
ajema-7710	60	3	]	]	PUNCT
ajema-7710	60	4	.	.	PUNCT
ajema-7710	61	1	by	by	ADP
ajema-7710	61	2	referring	refer	VERB
ajema-7710	61	3	to	to	ADP
ajema-7710	61	4	eq	eq	PROPN
ajema-7710	61	5	.	.	PUNCT
ajema-7710	62	1	(	(	PUNCT
ajema-7710	62	2	1	1	NUM
ajema-7710	62	3	)	)	PUNCT
ajema-7710	62	4	,	,	PUNCT
ajema-7710	62	5	the	the	DET
ajema-7710	62	6	resulting	result	VERB
ajema-7710	62	7	signal	signal	NOUN
ajema-7710	62	8	,	,	PUNCT
ajema-7710	62	9	y(n	y(n	PROPN
ajema-7710	62	10	)	)	PUNCT
ajema-7710	62	11	is	be	AUX
ajema-7710	62	12	obtained	obtain	VERB
ajema-7710	62	13	from	from	ADP
ajema-7710	62	14	updating	update	VERB
ajema-7710	62	15	ŷ(t	ŷ(t	NOUN
ajema-7710	62	16	)	)	PUNCT
ajema-7710	62	17	using	use	VERB
ajema-7710	62	18	the	the	DET
ajema-7710	62	19	filter	filter	NOUN
ajema-7710	62	20	weight	weight	NOUN
ajema-7710	62	21	coefficients	coefficient	NOUN
ajema-7710	62	22	,	,	PUNCT
ajema-7710	62	23	w(n	w(n	NOUN
ajema-7710	62	24	)	)	PUNCT
ajema-7710	62	25	supplied	supply	VERB
ajema-7710	62	26	via	via	ADP
ajema-7710	62	27	the	the	DET
ajema-7710	62	28	dofpso	dofpso	ADJ
ajema-7710	62	29	algorithm	algorithm	NOUN
ajema-7710	62	30	to	to	ADP
ajema-7710	62	31	the	the	DET
ajema-7710	62	32	adaptive	adaptive	ADJ
ajema-7710	62	33	filter	filter	NOUN
ajema-7710	62	34	.	.	PUNCT
ajema-7710	63	1	from	from	ADP
ajema-7710	63	2	the	the	DET
ajema-7710	63	3	other	other	ADJ
ajema-7710	63	4	hand	hand	NOUN
ajema-7710	63	5	,	,	PUNCT
ajema-7710	63	6	the	the	DET
ajema-7710	63	7	modified	modify	VERB
ajema-7710	63	8	pso	pso	NOUN
ajema-7710	63	9	,	,	PUNCT
ajema-7710	63	10	named	name	VERB
ajema-7710	63	11	as	as	ADP
ajema-7710	63	12	dofpso	dofpso	PROPN
ajema-7710	63	13	will	will	AUX
ajema-7710	63	14	act	act	VERB
ajema-7710	63	15	initially	initially	ADV
ajema-7710	63	16	in	in	ADP
ajema-7710	63	17	a	a	DET
ajema-7710	63	18	similar	similar	ADJ
ajema-7710	63	19	methodology	methodology	NOUN
ajema-7710	63	20	as	as	ADP
ajema-7710	63	21	the	the	DET
ajema-7710	63	22	ordinary	ordinary	ADJ
ajema-7710	63	23	pso	pso	NOUN
ajema-7710	63	24	,	,	PUNCT
ajema-7710	63	25	such	such	ADJ
ajema-7710	63	26	that	that	SCONJ
ajema-7710	63	27	by	by	ADP
ajema-7710	63	28	initializing	initialize	VERB
ajema-7710	63	29	a	a	DET
ajema-7710	63	30	group	group	NOUN
ajema-7710	63	31	of	of	ADP
ajema-7710	63	32	particles	particle	NOUN
ajema-7710	63	33	,	,	PUNCT
ajema-7710	63	34	and	and	CCONJ
ajema-7710	63	35	setting	set	VERB
ajema-7710	63	36	every	every	DET
ajema-7710	63	37	location	location	NOUN
ajema-7710	63	38	and	and	CCONJ
ajema-7710	63	39	initial	initial	ADJ
ajema-7710	63	40	velocity	velocity	NOUN
ajema-7710	63	41	to	to	ADP
ajema-7710	63	42	zero	zero	NUM
ajema-7710	63	43	[	[	X
ajema-7710	63	44	1,2	1,2	NUM
ajema-7710	63	45	]	]	PUNCT
ajema-7710	63	46	.	.	PUNCT
ajema-7710	64	1	the	the	DET
ajema-7710	64	2	location	location	NOUN
ajema-7710	64	3	vector	vector	NOUN
ajema-7710	64	4	will	will	AUX
ajema-7710	64	5	define	define	VERB
ajema-7710	64	6	the	the	DET
ajema-7710	64	7	weights	weight	NOUN
ajema-7710	64	8	coefficients	coefficient	NOUN
ajema-7710	64	9	,	,	PUNCT
ajema-7710	64	10	and	and	CCONJ
ajema-7710	64	11	initialized	initialize	VERB
ajema-7710	64	12	as	as	ADP
ajema-7710	64	13	n	n	ADP
ajema-7710	64	14	values	value	NOUN
ajema-7710	64	15	of	of	ADP
ajema-7710	64	16	random	random	ADJ
ajema-7710	64	17	solutions	solution	NOUN
ajema-7710	64	18	,	,	PUNCT
ajema-7710	64	19	such	such	ADJ
ajema-7710	64	20	that	that	SCONJ
ajema-7710	64	21	:	:	PUNCT
ajema-7710	64	22	wi	wi	PROPN
ajema-7710	64	23	(	(	PUNCT
ajema-7710	64	24	n)=[w1	n)=[w1	PROPN
ajema-7710	64	25	,	,	PUNCT
ajema-7710	64	26	w2	w2	NOUN
ajema-7710	64	27	,	,	PUNCT
ajema-7710	64	28	…	…	PUNCT
ajema-7710	64	29	,	,	PUNCT
ajema-7710	64	30	wl	wl	X
ajema-7710	64	31	]	]	X
ajema-7710	64	32	(	(	PUNCT
ajema-7710	64	33	6	6	NUM
ajema-7710	64	34	)	)	PUNCT
ajema-7710	64	35	where	where	SCONJ
ajema-7710	64	36	i=1	i=1	PROPN
ajema-7710	64	37	,	,	PUNCT
ajema-7710	64	38	2	2	NUM
ajema-7710	64	39	,	,	PUNCT
ajema-7710	64	40	3	3	NUM
ajema-7710	64	41	,	,	PUNCT
ajema-7710	64	42	…	…	PUNCT
ajema-7710	64	43	.	.	PUNCT
ajema-7710	64	44	,	,	PUNCT
ajema-7710	64	45	n.	n.	NOUN
ajema-7710	64	46	beside	beside	ADP
ajema-7710	64	47	the	the	DET
ajema-7710	64	48	primary	primary	ADJ
ajema-7710	64	49	set	set	NOUN
ajema-7710	64	50	of	of	ADP
ajema-7710	64	51	the	the	DET
ajema-7710	64	52	particles	particle	NOUN
ajema-7710	64	53	locations	location	NOUN
ajema-7710	64	54	,	,	PUNCT
ajema-7710	64	55	amounts	amount	NOUN
ajema-7710	64	56	of	of	ADP
ajema-7710	64	57	the	the	DET
ajema-7710	64	58	cost	cost	NOUN
ajema-7710	64	59	function	function	NOUN
ajema-7710	64	60	,	,	PUNCT
ajema-7710	64	61	ci	ci	PROPN
ajema-7710	64	62	,	,	PUNCT
ajema-7710	64	63	k	k	PROPN
ajema-7710	64	64	are	be	AUX
ajema-7710	64	65	calculated	calculate	VERB
ajema-7710	64	66	,	,	PUNCT
ajema-7710	64	67	for	for	ADP
ajema-7710	64	68	n	n	CCONJ
ajema-7710	64	69	parameters	parameter	NOUN
ajema-7710	64	70	and	and	CCONJ
ajema-7710	64	71	k	k	NOUN
ajema-7710	64	72	repetitions	repetition	NOUN
ajema-7710	64	73	.	.	PUNCT
ajema-7710	65	1	now	now	ADV
ajema-7710	65	2	by	by	ADP
ajema-7710	65	3	defining	define	VERB
ajema-7710	65	4	pbestcost	pbestcost	ADJ
ajema-7710	65	5	as	as	ADP
ajema-7710	65	6	the	the	DET
ajema-7710	65	7	specific	specific	ADJ
ajema-7710	65	8	value	value	NOUN
ajema-7710	65	9	of	of	ADP
ajema-7710	65	10	the	the	DET
ajema-7710	65	11	particle	particle	NOUN
ajema-7710	65	12	position	position	NOUN
ajema-7710	65	13	that	that	PRON
ajema-7710	65	14	produce	produce	VERB
ajema-7710	65	15	the	the	DET
ajema-7710	65	16	cost	cost	NOUN
ajema-7710	65	17	function	function	NOUN
ajema-7710	65	18	ci	ci	PROPN
ajema-7710	65	19	,	,	PUNCT
ajema-7710	65	20	k	k	X
ajema-7710	65	21	to	to	ADP
ajema-7710	65	22	minimum	minimum	NOUN
ajema-7710	65	23	value	value	NOUN
ajema-7710	65	24	[	[	X
ajema-7710	65	25	1,2	1,2	NUM
ajema-7710	65	26	]	]	PUNCT
ajema-7710	65	27	.	.	PUNCT
ajema-7710	66	1	the	the	DET
ajema-7710	66	2	velocity	velocity	NOUN
ajema-7710	66	3	of	of	ADP
ajema-7710	66	4	the	the	DET
ajema-7710	66	5	ordinary	ordinary	ADJ
ajema-7710	66	6	pso	pso	NOUN
ajema-7710	66	7	of	of	ADP
ajema-7710	66	8	of	of	ADP
ajema-7710	66	9	n	n	PRON
ajema-7710	66	10	particles	particle	NOUN
ajema-7710	66	11	for	for	ADP
ajema-7710	66	12	k	k	PROPN
ajema-7710	66	13	iterations	iteration	NOUN
ajema-7710	66	14	is	be	AUX
ajema-7710	66	15	specified	specify	VERB
ajema-7710	66	16	as	as	ADP
ajema-7710	66	17	[	[	X
ajema-7710	66	18	1	1	NUM
ajema-7710	66	19	]	]	X
ajema-7710	66	20	:	:	PUNCT
ajema-7710	66	21	vi	vi	NOUN
ajema-7710	66	22	,	,	PUNCT
ajema-7710	66	23	k	k	X
ajema-7710	66	24	=	=	SYM
ajema-7710	66	25	vi	vi	PROPN
ajema-7710	66	26	,	,	PUNCT
ajema-7710	66	27	k-1	k-1	PROPN
ajema-7710	66	28	+	+	CCONJ
ajema-7710	67	1	c1r1	c1r1	PROPN
ajema-7710	67	2	(	(	PUNCT
ajema-7710	67	3	pbestcost	pbestcost	ADJ
ajema-7710	67	4	–	–	PUNCT
ajema-7710	67	5	wi	wi	PROPN
ajema-7710	67	6	,	,	PUNCT
ajema-7710	67	7	k-1	k-1	PROPN
ajema-7710	67	8	)	)	PUNCT
ajema-7710	68	1	+	+	CCONJ
ajema-7710	68	2	c2r2	c2r2	X
ajema-7710	68	3	(	(	PUNCT
ajema-7710	68	4	pglobalbest	pglobalb	ADJ
ajema-7710	68	5	wi	wi	PROPN
ajema-7710	68	6	,	,	PUNCT
ajema-7710	68	7	k-1	k-1	PROPN
ajema-7710	68	8	)	)	PUNCT
ajema-7710	68	9	(	(	PUNCT
ajema-7710	68	10	7	7	X
ajema-7710	68	11	)	)	PUNCT
ajema-7710	68	12	where	where	SCONJ
ajema-7710	68	13	,	,	PUNCT
ajema-7710	68	14	c1	c1	PROPN
ajema-7710	68	15	,	,	PUNCT
ajema-7710	68	16	c2	c2	PROPN
ajema-7710	68	17	are	be	AUX
ajema-7710	68	18	the	the	DET
ajema-7710	68	19	learning	learning	NOUN
ajema-7710	68	20	coefficients	coefficient	NOUN
ajema-7710	68	21	,	,	PUNCT
ajema-7710	68	22	vi	vi	PROPN
ajema-7710	68	23	,	,	PUNCT
ajema-7710	68	24	k	k	PROPN
ajema-7710	68	25	,	,	PUNCT
ajema-7710	68	26	wi	wi	PROPN
ajema-7710	68	27	,	,	PUNCT
ajema-7710	68	28	k-1	k-1	PROPN
ajema-7710	68	29	are	be	AUX
ajema-7710	68	30	the	the	DET
ajema-7710	68	31	r1	r1	PROPN
ajema-7710	68	32	r2	r2	PROPN
ajema-7710	68	33	are	be	AUX
ajema-7710	68	34	uniformly	uniformly	ADV
ajema-7710	68	35	distributed	distribute	VERB
ajema-7710	68	36	arbitrary	arbitrary	ADJ
ajema-7710	68	37	amounts	amount	NOUN
ajema-7710	68	38	distributed	distribute	VERB
ajema-7710	68	39	random	random	ADJ
ajema-7710	68	40	sums	sum	NOUN
ajema-7710	68	41	throughout	throughout	ADP
ajema-7710	68	42	the	the	DET
ajema-7710	68	43	length	length	NOUN
ajema-7710	68	44	of	of	ADP
ajema-7710	68	45	0	0	NUM
ajema-7710	68	46	to	to	PART
ajema-7710	68	47	1	1	NUM
ajema-7710	68	48	.	.	PUNCT
ajema-7710	68	49	locations	location	NOUN
ajema-7710	68	50	of	of	ADP
ajema-7710	68	51	the	the	DET
ajema-7710	68	52	ith	ith	PROPN
ajema-7710	68	53	parameters	parameter	NOUN
ajema-7710	68	54	and	and	CCONJ
ajema-7710	68	55	at	at	ADP
ajema-7710	68	56	the	the	DET
ajema-7710	68	57	kth	kth	PROPN
ajema-7710	68	58	repetitions	repetition	NOUN
ajema-7710	68	59	have	have	AUX
ajema-7710	68	60	been	be	AUX
ajema-7710	68	61	updated	update	VERB
ajema-7710	68	62	utilizing	utilizing	NOUN
ajema-7710	68	63	:	:	PUNCT
ajema-7710	68	64	wi	wi	PROPN
ajema-7710	68	65	,	,	PUNCT
ajema-7710	68	66	k=	k=	PUNCT
ajema-7710	68	67	wi	wi	PROPN
ajema-7710	68	68	,	,	PUNCT
ajema-7710	68	69	k-1	k-1	PROPN
ajema-7710	68	70	+	+	PROPN
ajema-7710	68	71	vi	vi	PROPN
ajema-7710	68	72	,	,	PUNCT
ajema-7710	68	73	k	k	X
ajema-7710	68	74	(	(	PUNCT
ajema-7710	68	75	8)	8)	NUM
ajema-7710	68	76	at	at	ADP
ajema-7710	68	77	the	the	DET
ajema-7710	68	78	kth	kth	PROPN
ajema-7710	68	79	iteration	iteration	NOUN
ajema-7710	68	80	,	,	PUNCT
ajema-7710	68	81	the	the	DET
ajema-7710	68	82	location	location	NOUN
ajema-7710	68	83	pbestcost	pbestcost	NOUN
ajema-7710	68	84	considered	consider	VERB
ajema-7710	68	85	as	as	ADP
ajema-7710	68	86	the	the	DET
ajema-7710	68	87	local	local	ADJ
ajema-7710	68	88	best	good	ADJ
ajema-7710	68	89	location	location	NOUN
ajema-7710	68	90	,	,	PUNCT
ajema-7710	68	91	also	also	ADV
ajema-7710	68	92	pglobalbest	pglobalbest	NOUN
ajema-7710	68	93	is	be	AUX
ajema-7710	68	94	the	the	DET
ajema-7710	68	95	global	global	ADJ
ajema-7710	68	96	better	well	ADJ
ajema-7710	68	97	location	location	NOUN
ajema-7710	68	98	amongst	amongst	ADP
ajema-7710	68	99	the	the	DET
ajema-7710	68	100	ith	ith	PROPN
ajema-7710	68	101	iterations	iteration	NOUN
ajema-7710	68	102	.	.	PUNCT
ajema-7710	69	1	these	these	DET
ajema-7710	69	2	processes	process	NOUN
ajema-7710	69	3	will	will	AUX
ajema-7710	69	4	be	be	AUX
ajema-7710	69	5	repeated	repeat	VERB
ajema-7710	69	6	till	till	SCONJ
ajema-7710	69	7	the	the	DET
ajema-7710	69	8	algorithm	algorithm	NOUN
ajema-7710	69	9	assembles	assemble	VERB
ajema-7710	69	10	to	to	ADP
ajema-7710	69	11	a	a	DET
ajema-7710	69	12	global	global	ADJ
ajema-7710	69	13	optimum	optimum	ADJ
ajema-7710	69	14	answer	answer	NOUN
ajema-7710	69	15	or	or	CCONJ
ajema-7710	69	16	a	a	DET
ajema-7710	69	17	maximum	maximum	ADJ
ajema-7710	69	18	account	account	NOUN
ajema-7710	69	19	of	of	ADP
ajema-7710	69	20	repetition	repetition	NOUN
ajema-7710	69	21	is	be	AUX
ajema-7710	69	22	attained	attain	VERB
ajema-7710	69	23	.	.	PUNCT
ajema-7710	70	1	adaptive	adaptive	ADJ
ajema-7710	70	2	noise	noise	NOUN
ajema-7710	70	3	canceller	canceller	NOUN
ajema-7710	70	4	m	m	PROPN
ajema-7710	70	5	-	-	PUNCT
ajema-7710	70	6	psk	psk	PROPN
ajema-7710	70	7	modulation	modulation	NOUN
ajema-7710	70	8	digital	digital	ADJ
ajema-7710	70	9	information	information	NOUN
ajema-7710	70	10	front	front	ADJ
ajema-7710	70	11	end	end	NOUN
ajema-7710	70	12	radio	radio	NOUN
ajema-7710	70	13	tx	tx	PROPN
ajema-7710	70	14	front	front	PROPN
ajema-7710	70	15	end	end	NOUN
ajema-7710	70	16	radio	radio	NOUN
ajema-7710	70	17	rx	rx	VERB
ajema-7710	70	18	digital	digital	ADJ
ajema-7710	70	19	demodulation	demodulation	NOUN
ajema-7710	70	20	x(t	x(t	PROPN
ajema-7710	70	21	)	)	PUNCT
ajema-7710	70	22	d(t	d(t	PROPN
ajema-7710	70	23	)	)	PUNCT
ajema-7710	70	24	y(t	y(t	PROPN
ajema-7710	70	25	)	)	PUNCT
ajema-7710	71	1	+	+	CCONJ
ajema-7710	71	2	(	(	PUNCT
ajema-7710	71	3	t	t	PROPN
ajema-7710	71	4	)	)	PUNCT
ajema-7710	71	5	x(t	x(t	PROPN
ajema-7710	71	6	)	)	PUNCT
ajema-7710	71	7	n(t	n(t	PROPN
ajema-7710	71	8	)	)	PUNCT
ajema-7710	72	1	+	+	CCONJ
ajema-7710	72	2	x(t	x(t	PROPN
ajema-7710	72	3	)	)	PUNCT
ajema-7710	73	1	n(t	n(t	PROPN
ajema-7710	73	2	)	)	PUNCT
ajema-7710	73	3	r	r	NOUN
ajema-7710	73	4	(	(	PUNCT
ajema-7710	73	5	t	t	PROPN
ajema-7710	73	6	)	)	PUNCT
ajema-7710	73	7	10110	10110	NUM
ajema-7710	73	8	207	207	NUM
ajema-7710	73	9	journal	journal	NOUN
ajema-7710	73	10	of	of	ADP
ajema-7710	73	11	engineering	engineering	NOUN
ajema-7710	73	12	,	,	PUNCT
ajema-7710	73	13	mechanics	mechanic	NOUN
ajema-7710	73	14	and	and	CCONJ
ajema-7710	73	15	architecture	architecture	NOUN
ajema-7710	73	16	www	www	NOUN
ajema-7710	73	17	.	.	PUNCT
ajema-7710	74	1	grnjournal.us	grnjournal.us	X
ajema-7710	74	2	now	now	ADV
ajema-7710	74	3	,	,	PUNCT
ajema-7710	74	4	the	the	DET
ajema-7710	74	5	dofpso	dofpso	ADJ
ajema-7710	74	6	algorithm	algorithm	NOUN
ajema-7710	74	7	will	will	AUX
ajema-7710	74	8	act	act	VERB
ajema-7710	74	9	based	base	VERB
ajema-7710	74	10	on	on	ADP
ajema-7710	74	11	the	the	DET
ajema-7710	74	12	ordinary	ordinary	ADJ
ajema-7710	74	13	pso	pso	NOUN
ajema-7710	74	14	algorithm	algorithm	NOUN
ajema-7710	74	15	such	such	ADJ
ajema-7710	74	16	that	that	PRON
ajema-7710	74	17	to	to	PART
ajema-7710	74	18	choose	choose	VERB
ajema-7710	74	19	optimal	optimal	ADJ
ajema-7710	74	20	initial	initial	ADJ
ajema-7710	74	21	values	value	NOUN
ajema-7710	74	22	of	of	ADP
ajema-7710	74	23	the	the	DET
ajema-7710	74	24	particles	particle	NOUN
ajema-7710	74	25	positions	position	NOUN
ajema-7710	74	26	as	as	ADP
ajema-7710	74	27	well	well	ADV
ajema-7710	74	28	velocities	velocity	NOUN
ajema-7710	74	29	according	accord	VERB
ajema-7710	74	30	to	to	ADP
ajema-7710	74	31	the	the	DET
ajema-7710	74	32	formula	formula	NOUN
ajema-7710	74	33	given	give	VERB
ajema-7710	74	34	by	by	ADP
ajema-7710	74	35	[	[	X
ajema-7710	74	36	2	2	NUM
ajema-7710	74	37	]	]	PUNCT
ajema-7710	74	38	:	:	PUNCT
ajema-7710	74	39	xi	xi	X
ajema-7710	74	40	(	(	PUNCT
ajema-7710	74	41	0	0	NUM
ajema-7710	74	42	)	)	PUNCT
ajema-7710	74	43	=	=	SYM
ajema-7710	74	44	(	(	PUNCT
ajema-7710	74	45	xmax	xmax	PROPN
ajema-7710	74	46	-xmin	-xmin	PROPN
ajema-7710	74	47	)	)	PUNCT
ajema-7710	74	48	×	×	NOUN
ajema-7710	74	49	rand	rand	NOUN
ajema-7710	74	50	(	(	PUNCT
ajema-7710	74	51	)	)	PUNCT
ajema-7710	74	52	(	(	PUNCT
ajema-7710	74	53	9	9	X
ajema-7710	74	54	)	)	PUNCT
ajema-7710	74	55	wi	wi	PROPN
ajema-7710	74	56	(	(	PUNCT
ajema-7710	74	57	0	0	NUM
ajema-7710	74	58	)	)	PUNCT
ajema-7710	74	59	=	=	SYM
ajema-7710	74	60	(	(	PUNCT
ajema-7710	74	61	xmax	xmax	PROPN
ajema-7710	74	62	-xmin	-xmin	PROPN
ajema-7710	74	63	)	)	PUNCT
ajema-7710	74	64	×	×	NOUN
ajema-7710	74	65	rand	rand	NOUN
ajema-7710	74	66	(	(	PUNCT
ajema-7710	74	67	)	)	PUNCT
ajema-7710	74	68	(	(	PUNCT
ajema-7710	74	69	10	10	NUM
ajema-7710	74	70	)	)	PUNCT
ajema-7710	74	71	where	where	SCONJ
ajema-7710	74	72	rand	rand	NOUN
ajema-7710	74	73	(	(	PUNCT
ajema-7710	74	74	)	)	PUNCT
ajema-7710	74	75	is	be	AUX
ajema-7710	74	76	an	an	DET
ajema-7710	74	77	arbitrary	arbitrary	ADJ
ajema-7710	74	78	random	random	ADJ
ajema-7710	74	79	number	number	NOUN
ajema-7710	74	80	ranges	range	VERB
ajema-7710	74	81	from	from	ADP
ajema-7710	74	82	(	(	PUNCT
ajema-7710	74	83	0	0	NUM
ajema-7710	74	84	to	to	PART
ajema-7710	74	85	1	1	NUM
ajema-7710	74	86	)	)	PUNCT
ajema-7710	74	87	.	.	PUNCT
ajema-7710	75	1	by	by	ADP
ajema-7710	75	2	applying	apply	VERB
ajema-7710	75	3	eq	eq	ADP
ajema-7710	75	4	.	.	PROPN
ajema-7710	75	5	9	9	NUM
ajema-7710	75	6	and	and	CCONJ
ajema-7710	75	7	10	10	NUM
ajema-7710	75	8	,	,	PUNCT
ajema-7710	75	9	an	an	DET
ajema-7710	75	10	optimization	optimization	NOUN
ajema-7710	75	11	of	of	ADP
ajema-7710	75	12	the	the	DET
ajema-7710	75	13	initial	initial	ADJ
ajema-7710	75	14	values	value	NOUN
ajema-7710	75	15	of	of	ADP
ajema-7710	75	16	the	the	DET
ajema-7710	75	17	particles	particle	NOUN
ajema-7710	75	18	positions	position	NOUN
ajema-7710	75	19	and	and	CCONJ
ajema-7710	75	20	velocities	velocity	NOUN
ajema-7710	75	21	,	,	PUNCT
ajema-7710	75	22	xi	xi	X
ajema-7710	75	23	(	(	PUNCT
ajema-7710	75	24	0	0	NUM
ajema-7710	75	25	)	)	PUNCT
ajema-7710	75	26	,	,	PUNCT
ajema-7710	75	27	and	and	CCONJ
ajema-7710	75	28	wi	wi	PROPN
ajema-7710	75	29	(	(	PUNCT
ajema-7710	75	30	0	0	NUM
ajema-7710	75	31	)	)	PUNCT
ajema-7710	75	32	will	will	AUX
ajema-7710	75	33	be	be	AUX
ajema-7710	75	34	obtained	obtain	VERB
ajema-7710	75	35	.	.	PUNCT
ajema-7710	76	1	this	this	DET
ajema-7710	76	2	optimal	optimal	ADJ
ajema-7710	76	3	initialization	initialization	NOUN
ajema-7710	76	4	will	will	AUX
ajema-7710	76	5	exclude	exclude	VERB
ajema-7710	76	6	the	the	DET
ajema-7710	76	7	dependency	dependency	NOUN
ajema-7710	76	8	of	of	ADP
ajema-7710	76	9	eq	eq	PROPN
ajema-7710	76	10	.	.	PUNCT
ajema-7710	77	1	(	(	PUNCT
ajema-7710	77	2	7	7	NUM
ajema-7710	77	3	)	)	PUNCT
ajema-7710	77	4	on	on	ADP
ajema-7710	77	5	pbestcost	pbestcost	ADJ
ajema-7710	77	6	so	so	SCONJ
ajema-7710	77	7	that	that	SCONJ
ajema-7710	77	8	,	,	PUNCT
ajema-7710	77	9	we	we	PRON
ajema-7710	77	10	could	could	AUX
ajema-7710	77	11	further	far	ADV
ajema-7710	77	12	exclude	exclude	VERB
ajema-7710	77	13	the	the	DET
ajema-7710	77	14	effect	effect	NOUN
ajema-7710	77	15	of	of	ADP
ajema-7710	77	16	the	the	DET
ajema-7710	77	17	learning	learning	NOUN
ajema-7710	77	18	coefficients	coefficient	NOUN
ajema-7710	77	19	c1	c1	PROPN
ajema-7710	77	20	,	,	PUNCT
ajema-7710	77	21	c2	c2	PROPN
ajema-7710	77	22	as	as	ADV
ajema-7710	77	23	well	well	ADV
ajema-7710	77	24	as	as	ADP
ajema-7710	77	25	the	the	DET
ajema-7710	77	26	uniformly	uniformly	ADV
ajema-7710	77	27	distributed	distribute	VERB
ajema-7710	77	28	random	random	ADJ
ajema-7710	77	29	amounts	amount	NOUN
ajema-7710	77	30	r1	r1	NOUN
ajema-7710	77	31	r2	r2	PROPN
ajema-7710	77	32	,	,	PUNCT
ajema-7710	77	33	in	in	ADP
ajema-7710	77	34	eq	eq	ADP
ajema-7710	77	35	.	.	PUNCT
ajema-7710	78	1	(	(	PUNCT
ajema-7710	78	2	7	7	X
ajema-7710	78	3	)	)	PUNCT
ajema-7710	78	4	[	[	X
ajema-7710	78	5	2	2	NUM
ajema-7710	78	6	]	]	PUNCT
ajema-7710	78	7	.	.	PUNCT
ajema-7710	79	1	hence	hence	ADV
ajema-7710	79	2	eq	eq	ADP
ajema-7710	79	3	.	.	PUNCT
ajema-7710	80	1	(	(	PUNCT
ajema-7710	80	2	7	7	X
ajema-7710	80	3	)	)	PUNCT
ajema-7710	80	4	will	will	AUX
ajema-7710	80	5	be	be	AUX
ajema-7710	80	6	rewritten	rewrite	VERB
ajema-7710	80	7	such	such	ADJ
ajema-7710	80	8	as	as	ADP
ajema-7710	80	9	:	:	PUNCT
ajema-7710	80	10	vi	vi	ADJ
ajema-7710	80	11	,	,	PUNCT
ajema-7710	80	12	k=	k=	X
ajema-7710	81	1	+	+	CCONJ
ajema-7710	81	2	pglobalbest	pglobalb	ADJ
ajema-7710	81	3	wi	wi	PROPN
ajema-7710	81	4	,	,	PUNCT
ajema-7710	81	5	k-1	k-1	PROPN
ajema-7710	81	6	(	(	PUNCT
ajema-7710	81	7	11	11	NUM
ajema-7710	81	8	)	)	PUNCT
ajema-7710	81	9	consequently	consequently	ADV
ajema-7710	81	10	eq	eq	ADP
ajema-7710	81	11	.	.	PUNCT
ajema-7710	82	1	(	(	PUNCT
ajema-7710	82	2	8)	8)	NUM
ajema-7710	82	3	will	will	AUX
ajema-7710	82	4	also	also	ADV
ajema-7710	82	5	rewritten	rewrite	VERB
ajema-7710	82	6	as	as	ADP
ajema-7710	82	7	:	:	PUNCT
ajema-7710	82	8	wi	wi	PROPN
ajema-7710	82	9	,	,	PUNCT
ajema-7710	82	10	k=	k=	X
ajema-7710	82	11	wi	wi	PROPN
ajema-7710	82	12	,	,	PUNCT
ajema-7710	82	13	k-1	k-1	PROPN
ajema-7710	82	14	+	+	PROPN
ajema-7710	82	15	s	s	PROPN
ajema-7710	82	16	×	×	PROPN
ajema-7710	82	17	vi	vi	PROPN
ajema-7710	82	18	,	,	PUNCT
ajema-7710	82	19	k	k	X
ajema-7710	82	20	(	(	PUNCT
ajema-7710	82	21	12	12	NUM
ajema-7710	82	22	)	)	PUNCT
ajema-7710	82	23	where	where	SCONJ
ajema-7710	82	24	,	,	PUNCT
ajema-7710	82	25	s	s	VERB
ajema-7710	82	26	is	be	AUX
ajema-7710	82	27	an	an	DET
ajema-7710	82	28	integer	integer	NOUN
ajema-7710	82	29	accelerator	accelerator	NOUN
ajema-7710	82	30	factor	factor	NOUN
ajema-7710	82	31	utilized	utilize	VERB
ajema-7710	82	32	to	to	ADP
ajema-7710	82	33	speeding	speed	VERB
ajema-7710	82	34	the	the	DET
ajema-7710	82	35	convergence	convergence	NOUN
ajema-7710	82	36	of	of	ADP
ajema-7710	82	37	the	the	DET
ajema-7710	82	38	weights	weight	NOUN
ajema-7710	82	39	through	through	ADP
ajema-7710	82	40	reducing	reduce	VERB
ajema-7710	82	41	time	time	NOUN
ajema-7710	82	42	required	require	VERB
ajema-7710	82	43	to	to	PART
ajema-7710	82	44	reach	reach	VERB
ajema-7710	82	45	the	the	DET
ajema-7710	82	46	local	local	ADJ
ajema-7710	82	47	optimal	optimal	ADJ
ajema-7710	82	48	[	[	X
ajema-7710	82	49	1,2	1,2	NUM
ajema-7710	82	50	]	]	PUNCT
ajema-7710	82	51	.	.	PUNCT
ajema-7710	83	1	un	un	PROPN
ajema-7710	83	2	like	like	INTJ
ajema-7710	83	3	to	to	PART
ajema-7710	83	4	pso	pso	NOUN
ajema-7710	83	5	algorithm	algorithm	NOUN
ajema-7710	83	6	,	,	PUNCT
ajema-7710	83	7	there	there	PRON
ajema-7710	83	8	will	will	AUX
ajema-7710	83	9	be	be	AUX
ajema-7710	83	10	no	no	DET
ajema-7710	83	11	calculations	calculation	NOUN
ajema-7710	83	12	for	for	ADP
ajema-7710	83	13	the	the	DET
ajema-7710	83	14	pbestcost	pbestcost	NOUN
ajema-7710	83	15	and	and	CCONJ
ajema-7710	83	16	it	it	PRON
ajema-7710	83	17	will	will	AUX
ajema-7710	83	18	be	be	AUX
ajema-7710	83	19	not	not	PART
ajema-7710	83	20	considered	consider	VERB
ajema-7710	83	21	as	as	ADP
ajema-7710	83	22	the	the	DET
ajema-7710	83	23	local	local	ADJ
ajema-7710	83	24	best	good	ADJ
ajema-7710	83	25	location	location	NOUN
ajema-7710	83	26	at	at	ADP
ajema-7710	83	27	the	the	DET
ajema-7710	83	28	kth	kth	PROPN
ajema-7710	83	29	iteration	iteration	NOUN
ajema-7710	83	30	,	,	PUNCT
ajema-7710	83	31	due	due	ADP
ajema-7710	83	32	to	to	ADP
ajema-7710	83	33	effect	effect	NOUN
ajema-7710	83	34	of	of	ADP
ajema-7710	83	35	the	the	DET
ajema-7710	83	36	influence	influence	NOUN
ajema-7710	83	37	of	of	ADP
ajema-7710	83	38	the	the	DET
ajema-7710	83	39	optimum	optimum	ADJ
ajema-7710	83	40	initial	initial	ADJ
ajema-7710	83	41	particles	particle	NOUN
ajema-7710	83	42	position	position	NOUN
ajema-7710	83	43	and	and	CCONJ
ajema-7710	83	44	velocities	velocity	NOUN
ajema-7710	83	45	.	.	PUNCT
ajema-7710	84	1	on	on	ADP
ajema-7710	84	2	the	the	DET
ajema-7710	84	3	other	other	ADJ
ajema-7710	84	4	hand	hand	NOUN
ajema-7710	84	5	,	,	PUNCT
ajema-7710	84	6	pglobalbest	pglobalb	ADJ
ajema-7710	84	7	will	will	AUX
ajema-7710	84	8	still	still	ADV
ajema-7710	84	9	be	be	AUX
ajema-7710	84	10	considered	consider	VERB
ajema-7710	84	11	as	as	ADP
ajema-7710	84	12	the	the	DET
ajema-7710	84	13	global	global	ADJ
ajema-7710	84	14	best	good	ADJ
ajema-7710	84	15	position	position	NOUN
ajema-7710	84	16	amongst	amongst	ADP
ajema-7710	84	17	the	the	DET
ajema-7710	84	18	ith	ith	PROPN
ajema-7710	84	19	iterations	iteration	NOUN
ajema-7710	84	20	.	.	PUNCT
ajema-7710	85	1	until	until	SCONJ
ajema-7710	85	2	the	the	DET
ajema-7710	85	3	algorithm	algorithm	NOUN
ajema-7710	85	4	converges	converge	VERB
ajema-7710	85	5	to	to	ADP
ajema-7710	85	6	a	a	DET
ajema-7710	85	7	global	global	ADJ
ajema-7710	85	8	optimal	optimal	ADJ
ajema-7710	85	9	solution	solution	NOUN
ajema-7710	85	10	or	or	CCONJ
ajema-7710	85	11	a	a	DET
ajema-7710	85	12	maximum	maximum	ADJ
ajema-7710	85	13	limit	limit	NOUN
ajema-7710	85	14	of	of	ADP
ajema-7710	85	15	iteration	iteration	NOUN
ajema-7710	85	16	is	be	AUX
ajema-7710	85	17	reached	reach	VERB
ajema-7710	85	18	,	,	PUNCT
ajema-7710	85	19	these	these	DET
ajema-7710	85	20	procedures	procedure	NOUN
ajema-7710	85	21	will	will	AUX
ajema-7710	85	22	be	be	AUX
ajema-7710	85	23	repeated	repeat	VERB
ajema-7710	85	24	.	.	PUNCT
ajema-7710	86	1	therefore	therefore	ADV
ajema-7710	86	2	,	,	PUNCT
ajema-7710	86	3	as	as	SCONJ
ajema-7710	86	4	shown	show	VERB
ajema-7710	86	5	in	in	ADP
ajema-7710	86	6	the	the	DET
ajema-7710	86	7	flowchart	flowchart	NOUN
ajema-7710	86	8	of	of	ADP
ajema-7710	86	9	fig	fig	PROPN
ajema-7710	86	10	.	.	PUNCT
ajema-7710	87	1	3	3	NUM
ajema-7710	87	2	,	,	PUNCT
ajema-7710	87	3	these	these	DET
ajema-7710	87	4	procedures	procedure	NOUN
ajema-7710	87	5	will	will	AUX
ajema-7710	87	6	be	be	AUX
ajema-7710	87	7	continued	continue	VERB
ajema-7710	87	8	until	until	SCONJ
ajema-7710	87	9	convergence	convergence	NOUN
ajema-7710	87	10	to	to	ADP
ajema-7710	87	11	a	a	DET
ajema-7710	87	12	global	global	ADJ
ajema-7710	87	13	optimal	optimal	ADJ
ajema-7710	87	14	response	response	NOUN
ajema-7710	87	15	or	or	CCONJ
ajema-7710	87	16	a	a	DET
ajema-7710	87	17	maximum	maximum	ADJ
ajema-7710	87	18	range	range	NOUN
ajema-7710	87	19	of	of	ADP
ajema-7710	87	20	repetition	repetition	NOUN
ajema-7710	87	21	is	be	AUX
ajema-7710	87	22	achieved	achieve	VERB
ajema-7710	87	23	by	by	ADP
ajema-7710	87	24	the	the	DET
ajema-7710	87	25	algorithm	algorithm	NOUN
ajema-7710	87	26	.	.	PUNCT
ajema-7710	88	1	208	208	NUM
ajema-7710	88	2	journal	journal	NOUN
ajema-7710	88	3	of	of	ADP
ajema-7710	88	4	engineering	engineering	NOUN
ajema-7710	88	5	,	,	PUNCT
ajema-7710	88	6	mechanics	mechanic	NOUN
ajema-7710	88	7	and	and	CCONJ
ajema-7710	88	8	architecture	architecture	NOUN
ajema-7710	88	9	www	www	NOUN
ajema-7710	88	10	.	.	PUNCT
ajema-7710	89	1	grnjournal.us	grnjournal.us	X
ajema-7710	89	2	b.	b.	PROPN
ajema-7710	89	3	lms	lms	PROPN
ajema-7710	89	4	adaptive	adaptive	ADJ
ajema-7710	89	5	noise	noise	NOUN
ajema-7710	89	6	cancellation	cancellation	NOUN
ajema-7710	89	7	the	the	DET
ajema-7710	89	8	least	least	ADJ
ajema-7710	89	9	mean	mean	ADJ
ajema-7710	89	10	square	square	ADJ
ajema-7710	89	11	lms	lm	NOUN
ajema-7710	89	12	is	be	AUX
ajema-7710	89	13	a	a	DET
ajema-7710	89	14	gradient	gradient	ADJ
ajema-7710	89	15	descent	descent	NOUN
ajema-7710	89	16	method	method	NOUN
ajema-7710	89	17	that	that	PRON
ajema-7710	89	18	follows	follow	VERB
ajema-7710	89	19	the	the	DET
ajema-7710	89	20	gradient	gradient	NOUN
ajema-7710	89	21	's	's	PART
ajema-7710	89	22	negative	negative	ADJ
ajema-7710	89	23	in	in	ADP
ajema-7710	89	24	order	order	NOUN
ajema-7710	89	25	to	to	PART
ajema-7710	89	26	converge	converge	VERB
ajema-7710	89	27	to	to	ADP
ajema-7710	89	28	the	the	DET
ajema-7710	89	29	desired	desire	VERB
ajema-7710	89	30	local	local	ADJ
ajema-7710	89	31	minimum	minimum	NOUN
ajema-7710	89	32	.	.	PUNCT
ajema-7710	90	1	it	it	PRON
ajema-7710	90	2	has	have	AUX
ajema-7710	90	3	been	be	AUX
ajema-7710	90	4	initialized	initialize	VERB
ajema-7710	90	5	among	among	ADP
ajema-7710	90	6	a	a	DET
ajema-7710	90	7	certain	certain	ADJ
ajema-7710	90	8	number	number	NOUN
ajema-7710	90	9	.	.	PUNCT
ajema-7710	91	1	in	in	ADP
ajema-7710	91	2	order	order	NOUN
ajema-7710	91	3	to	to	PART
ajema-7710	91	4	determine	determine	VERB
ajema-7710	91	5	the	the	DET
ajema-7710	91	6	propensity	propensity	NOUN
ajema-7710	91	7	of	of	ADP
ajema-7710	91	8	the	the	DET
ajema-7710	91	9	negative	negative	ADJ
ajema-7710	91	10	fall	fall	NOUN
ajema-7710	91	11	from	from	ADP
ajema-7710	91	12	one	one	NUM
ajema-7710	91	13	point	point	NOUN
ajema-7710	91	14	to	to	ADP
ajema-7710	91	15	another	another	PRON
ajema-7710	91	16	,	,	PUNCT
ajema-7710	91	17	lms	lm	NOUN
ajema-7710	91	18	utilizes	utilize	VERB
ajema-7710	91	19	a	a	DET
ajema-7710	91	20	step	step	NOUN
ajema-7710	91	21	length	length	NOUN
ajema-7710	91	22	that	that	PRON
ajema-7710	91	23	might	might	AUX
ajema-7710	91	24	be	be	AUX
ajema-7710	91	25	explained	explain	VERB
ajema-7710	91	26	as	as	ADP
ajema-7710	91	27	the	the	DET
ajema-7710	91	28	directing	directing	NOUN
ajema-7710	91	29	element	element	NOUN
ajema-7710	91	30	.	.	PUNCT
ajema-7710	92	1	an	an	DET
ajema-7710	92	2	lms	lm	NOUN
ajema-7710	92	3	weight	weight	NOUN
ajema-7710	92	4	update	update	NOUN
ajema-7710	92	5	might	might	AUX
ajema-7710	92	6	be	be	AUX
ajema-7710	92	7	written	write	VERB
ajema-7710	92	8	like	like	ADP
ajema-7710	92	9	:	:	PUNCT
ajema-7710	92	10	w	w	X
ajema-7710	92	11	(	(	PUNCT
ajema-7710	92	12	n+1)=	n+1)=	PROPN
ajema-7710	92	13	w	w	NOUN
ajema-7710	92	14	(	(	PUNCT
ajema-7710	92	15	n	n	CCONJ
ajema-7710	92	16	)	)	PUNCT
ajema-7710	92	17	+	+	CCONJ
ajema-7710	92	18	μ	μ	PROPN
ajema-7710	92	19	e	e	X
ajema-7710	92	20	(	(	PUNCT
ajema-7710	92	21	n	n	CCONJ
ajema-7710	92	22	)	)	PUNCT
ajema-7710	92	23	ŷ(n	ŷ(n	ADP
ajema-7710	92	24	)	)	PUNCT
ajema-7710	92	25	(	(	PUNCT
ajema-7710	92	26	13	13	NUM
ajema-7710	92	27	)	)	PUNCT
ajema-7710	92	28	such	such	ADJ
ajema-7710	92	29	that	that	SCONJ
ajema-7710	92	30	,	,	PUNCT
ajema-7710	92	31	μ	μ	PROPN
ajema-7710	92	32	is	be	AUX
ajema-7710	92	33	the	the	DET
ajema-7710	92	34	step	step	NOUN
ajema-7710	92	35	length	length	NOUN
ajema-7710	92	36	with	with	ADP
ajema-7710	92	37	w	w	PROPN
ajema-7710	92	38	(	(	PUNCT
ajema-7710	92	39	n	n	CCONJ
ajema-7710	92	40	)	)	PUNCT
ajema-7710	92	41	is	be	AUX
ajema-7710	92	42	the	the	DET
ajema-7710	92	43	weight	weight	NOUN
ajema-7710	92	44	vector	vector	NOUN
ajema-7710	92	45	,	,	PUNCT
ajema-7710	92	46	which	which	PRON
ajema-7710	92	47	together	together	ADV
ajema-7710	92	48	regulate	regulate	VERB
ajema-7710	92	49	the	the	DET
ajema-7710	92	50	lms	lm	NOUN
ajema-7710	92	51	convergence	convergence	NOUN
ajema-7710	92	52	speed	speed	NOUN
ajema-7710	92	53	.	.	PUNCT
ajema-7710	93	1	to	to	PART
ajema-7710	93	2	get	get	VERB
ajema-7710	93	3	the	the	DET
ajema-7710	93	4	best	good	ADJ
ajema-7710	93	5	convergence	convergence	NOUN
ajema-7710	93	6	rate	rate	NOUN
ajema-7710	93	7	,	,	PUNCT
ajema-7710	93	8	it	it	PRON
ajema-7710	93	9	is	be	AUX
ajema-7710	93	10	preferred	prefer	VERB
ajema-7710	93	11	to	to	PART
ajema-7710	93	12	choose	choose	VERB
ajema-7710	93	13	a	a	DET
ajema-7710	93	14	step	step	NOUN
ajema-7710	93	15	size	size	NOUN
ajema-7710	93	16	with	with	ADP
ajema-7710	93	17	modest	modest	ADJ
ajema-7710	93	18	values	value	NOUN
ajema-7710	93	19	in	in	ADP
ajema-7710	93	20	order	order	NOUN
ajema-7710	93	21	to	to	PART
ajema-7710	93	22	decrease	decrease	VERB
ajema-7710	93	23	the	the	DET
ajema-7710	93	24	total	total	ADJ
ajema-7710	93	25	error	error	NOUN
ajema-7710	93	26	plane	plane	NOUN
ajema-7710	93	27	or	or	CCONJ
ajema-7710	93	28	the	the	DET
ajema-7710	93	29	error	error	NOUN
ajema-7710	93	30	sampled	sample	VERB
ajema-7710	93	31	waveform	waveform	NOUN
ajema-7710	94	1	[	[	X
ajema-7710	94	2	12	12	NUM
ajema-7710	94	3	]	]	PUNCT
ajema-7710	94	4	.	.	PUNCT
ajema-7710	95	1	one	one	NUM
ajema-7710	95	2	of	of	ADP
ajema-7710	95	3	the	the	DET
ajema-7710	95	4	most	most	ADV
ajema-7710	95	5	crucial	crucial	ADJ
ajema-7710	95	6	operational	operational	ADJ
ajema-7710	95	7	requirements	requirement	NOUN
ajema-7710	95	8	of	of	ADP
ajema-7710	95	9	an	an	DET
ajema-7710	95	10	adaptive	adaptive	ADJ
ajema-7710	95	11	algorithm	algorithm	NOUN
ajema-7710	95	12	is	be	AUX
ajema-7710	95	13	the	the	DET
ajema-7710	95	14	optimization	optimization	NOUN
ajema-7710	95	15	of	of	ADP
ajema-7710	95	16	the	the	DET
ajema-7710	95	17	step	step	NOUN
ajema-7710	95	18	size	size	NOUN
ajema-7710	95	19	.	.	PUNCT
ajema-7710	96	1	according	accord	VERB
ajema-7710	96	2	to	to	ADP
ajema-7710	96	3	eq	eq	PROPN
ajema-7710	96	4	.	.	PUNCT
ajema-7710	97	1	(	(	PUNCT
ajema-7710	97	2	1	1	NUM
ajema-7710	97	3	)	)	PUNCT
ajema-7710	97	4	,	,	PUNCT
ajema-7710	97	5	the	the	DET
ajema-7710	97	6	updated	update	VERB
ajema-7710	97	7	filter	filter	NOUN
ajema-7710	97	8	coefficients	coefficient	NOUN
ajema-7710	97	9	are	be	AUX
ajema-7710	97	10	thus	thus	ADV
ajema-7710	97	11	used	use	VERB
ajema-7710	97	12	to	to	PART
ajema-7710	97	13	estimate	estimate	VERB
ajema-7710	97	14	the	the	DET
ajema-7710	97	15	resultant	resultant	NOUN
ajema-7710	97	16	waveform	waveform	NOUN
ajema-7710	97	17	.	.	PUNCT
ajema-7710	98	1	fig	fig	NOUN
ajema-7710	98	2	.	.	PUNCT
ajema-7710	99	1	4	4	NUM
ajema-7710	99	2	shows	show	VERB
ajema-7710	99	3	the	the	DET
ajema-7710	99	4	lms	lms	PROPN
ajema-7710	99	5	algorithm	algorithm	PROPN
ajema-7710	99	6	flowchart	flowchart	PROPN
ajema-7710	99	7	.	.	PUNCT
ajema-7710	100	1	figure	figure	VERB
ajema-7710	100	2	4	4	NUM
ajema-7710	100	3	.	.	PUNCT
ajema-7710	101	1	flowchart	flowchart	NOUN
ajema-7710	101	2	of	of	ADP
ajema-7710	101	3	least	least	ADJ
ajema-7710	101	4	mean	mean	VERB
ajema-7710	101	5	square	square	ADJ
ajema-7710	101	6	algorithm	algorithm	NOUN
ajema-7710	102	1	[	[	X
ajema-7710	102	2	1	1	NUM
ajema-7710	102	3	]	]	PUNCT
ajema-7710	102	4	.	.	PUNCT
ajema-7710	103	1	3	3	X
ajema-7710	103	2	.	.	X
ajema-7710	103	3	simulation	simulation	NOUN
ajema-7710	103	4	&	&	CCONJ
ajema-7710	103	5	results	results	PROPN
ajema-7710	103	6	matlab	matlab	PROPN
ajema-7710	103	7	was	be	AUX
ajema-7710	103	8	used	use	VERB
ajema-7710	103	9	as	as	ADP
ajema-7710	103	10	a	a	DET
ajema-7710	103	11	stage	stage	NOUN
ajema-7710	103	12	to	to	PART
ajema-7710	103	13	execute	execute	VERB
ajema-7710	103	14	dofpso	dofpso	NOUN
ajema-7710	103	15	with	with	ADP
ajema-7710	103	16	lms	lm	NOUN
ajema-7710	103	17	algorithms	algorithm	NOUN
ajema-7710	103	18	.	.	PUNCT
ajema-7710	104	1	for	for	ADP
ajema-7710	104	2	all	all	DET
ajema-7710	104	3	reenactments	reenactment	NOUN
ajema-7710	104	4	,	,	PUNCT
ajema-7710	104	5	the	the	DET
ajema-7710	104	6	piece	piece	NOUN
ajema-7710	104	7	packet	packet	NOUN
ajema-7710	104	8	is	be	AUX
ajema-7710	104	9	provided	provide	VERB
ajema-7710	104	10	to	to	PART
ajema-7710	104	11	generate	generate	VERB
ajema-7710	104	12	a	a	DET
ajema-7710	104	13	signal	signal	NOUN
ajema-7710	104	14	of	of	ADP
ajema-7710	104	15	h=104	h=104	NOUN
ajema-7710	104	16	tests	test	NOUN
ajema-7710	104	17	as	as	ADV
ajema-7710	104	18	well	well	ADV
ajema-7710	104	19	regulated	regulated	ADJ
ajema-7710	104	20	utilizing	utilize	VERB
ajema-7710	104	21	mpsk	mpsk	NOUN
ajema-7710	104	22	scheme	scheme	NOUN
ajema-7710	104	23	along	along	ADP
ajema-7710	104	24	m=2	m=2	PROPN
ajema-7710	104	25	.	.	PUNCT
ajema-7710	105	1	at	at	ADP
ajema-7710	105	2	the	the	DET
ajema-7710	105	3	recipient	recipient	NOUN
ajema-7710	105	4	,	,	PUNCT
ajema-7710	105	5	awgn	awgn	NOUN
ajema-7710	105	6	with	with	ADP
ajema-7710	105	7	non	non	ADJ
ajema-7710	105	8	-	-	ADJ
ajema-7710	105	9	direct	direct	ADJ
ajema-7710	105	10	irregular	irregular	ADJ
ajema-7710	105	11	noise	noise	NOUN
ajema-7710	105	12	were	be	AUX
ajema-7710	105	13	also	also	ADV
ajema-7710	105	14	summed	sum	VERB
ajema-7710	105	15	to	to	ADP
ajema-7710	105	16	the	the	DET
ajema-7710	105	17	sent	send	VERB
ajema-7710	105	18	waveform	waveform	NOUN
ajema-7710	105	19	,	,	PUNCT
ajema-7710	105	20	and	and	CCONJ
ajema-7710	105	21	it	it	PRON
ajema-7710	105	22	was	be	AUX
ajema-7710	105	23	then	then	ADV
ajema-7710	105	24	sifted	sift	VERB
ajema-7710	105	25	using	use	VERB
ajema-7710	105	26	dofpso	dofpso	NOUN
ajema-7710	105	27	in	in	ADP
ajema-7710	105	28	addition	addition	NOUN
ajema-7710	105	29	to	to	ADP
ajema-7710	105	30	lms	lm	NOUN
ajema-7710	105	31	algorithms	algorithm	NOUN
ajema-7710	105	32	.	.	PUNCT
ajema-7710	106	1	two	two	NUM
ajema-7710	106	2	measurements	measurement	NOUN
ajema-7710	106	3	were	be	AUX
ajema-7710	106	4	employed	employ	VERB
ajema-7710	106	5	to	to	PART
ajema-7710	106	6	compute	compute	VERB
ajema-7710	106	7	also	also	ADV
ajema-7710	106	8	look	look	VERB
ajema-7710	106	9	for	for	ADP
ajema-7710	106	10	the	the	DET
ajema-7710	106	11	efficiency	efficiency	NOUN
ajema-7710	106	12	of	of	ADP
ajema-7710	106	13	two	two	NUM
ajema-7710	106	14	calculations	calculation	NOUN
ajema-7710	106	15	:	:	PUNCT
ajema-7710	106	16	bit	bit	NOUN
ajema-7710	106	17	error	error	NOUN
ajema-7710	106	18	rate	rate	NOUN
ajema-7710	106	19	(	(	PUNCT
ajema-7710	106	20	ber	ber	PROPN
ajema-7710	106	21	)	)	PUNCT
ajema-7710	106	22	,	,	PUNCT
ajema-7710	106	23	which	which	PRON
ajema-7710	106	24	is	be	AUX
ajema-7710	106	25	detailed	detail	VERB
ajema-7710	106	26	as	as	ADP
ajema-7710	106	27	the	the	DET
ajema-7710	106	28	sum	sum	NOUN
ajema-7710	106	29	of	of	ADP
ajema-7710	106	30	pieces	piece	NOUN
ajema-7710	106	31	in	in	ADP
ajema-7710	106	32	error	error	NOUN
ajema-7710	106	33	isolated	isolate	VERB
ajema-7710	106	34	by	by	ADP
ajema-7710	106	35	the	the	DET
ajema-7710	106	36	overall	overall	ADJ
ajema-7710	106	37	value	value	NOUN
ajema-7710	106	38	of	of	ADP
ajema-7710	106	39	moved	move	VERB
ajema-7710	106	40	pieces	piece	NOUN
ajema-7710	106	41	through	through	ADP
ajema-7710	106	42	a	a	DET
ajema-7710	106	43	focused	focused	ADJ
ajema-7710	106	44	period	period	NOUN
ajema-7710	106	45	span	span	NOUN
ajema-7710	106	46	:	:	PUNCT
ajema-7710	106	47	𝐵𝐸𝑅	𝐵𝐸𝑅	PROPN
ajema-7710	106	48	=	=	SYM
ajema-7710	107	1	𝑁𝑢𝑚𝑏𝑒𝑟	𝑁𝑢𝑚𝑏𝑒𝑟	PROPN
ajema-7710	107	2	𝑜𝑓	𝑜𝑓	ADP
ajema-7710	107	3	𝐶𝑜𝑟𝑟𝑢𝑝𝑡𝑒𝑑	𝐶𝑜𝑟𝑟𝑢𝑝𝑡𝑒𝑑	PROPN
ajema-7710	107	4	𝐵𝑖𝑡𝑠	𝐵𝑖𝑡𝑠	PROPN
ajema-7710	107	5	𝑇𝑜𝑡𝑎𝑙	𝑇𝑜𝑡𝑎𝑙	PROPN
ajema-7710	107	6	𝑁𝑢𝑚𝑏𝑒𝑟	𝑁𝑢𝑚𝑏𝑒𝑟	PROPN
ajema-7710	107	7	𝑜𝑓	𝑜𝑓	ADP
ajema-7710	107	8	𝑇𝑟𝑎𝑛𝑠𝑚𝑖𝑡𝑡𝑒𝑑	𝑇𝑟𝑎𝑛𝑠𝑚𝑖𝑡𝑡𝑒𝑑	PROPN
ajema-7710	107	9	𝐵𝑖𝑡𝑠	𝐵𝑖𝑡𝑠	PROPN
ajema-7710	107	10	(	(	PUNCT
ajema-7710	107	11	14	14	NUM
ajema-7710	107	12	)	)	PUNCT
ajema-7710	107	13	the	the	DET
ajema-7710	107	14	mean	mean	NOUN
ajema-7710	107	15	of	of	ADP
ajema-7710	107	16	squares	square	NOUN
ajema-7710	107	17	of	of	ADP
ajema-7710	107	18	the	the	DET
ajema-7710	107	19	errors	error	NOUN
ajema-7710	107	20	or	or	CCONJ
ajema-7710	107	21	divergences	divergence	NOUN
ajema-7710	107	22	,	,	PUNCT
ajema-7710	107	23	or	or	CCONJ
ajema-7710	107	24	the	the	DET
ajema-7710	107	25	variance	variance	NOUN
ajema-7710	107	26	amidst	amidst	ADP
ajema-7710	107	27	the	the	DET
ajema-7710	107	28	noisy	noisy	ADJ
ajema-7710	107	29	wave	wave	NOUN
ajema-7710	107	30	and	and	CCONJ
ajema-7710	107	31	the	the	DET
ajema-7710	107	32	filter	filter	NOUN
ajema-7710	107	33	-	-	PUNCT
ajema-7710	107	34	generated	generate	VERB
ajema-7710	107	35	wave	wave	NOUN
ajema-7710	107	36	,	,	PUNCT
ajema-7710	107	37	is	be	AUX
ajema-7710	107	38	known	know	VERB
ajema-7710	107	39	as	as	ADP
ajema-7710	107	40	the	the	DET
ajema-7710	107	41	mean	mean	ADJ
ajema-7710	107	42	square	square	ADJ
ajema-7710	107	43	error	error	NOUN
ajema-7710	107	44	(	(	PUNCT
ajema-7710	107	45	mse	mse	NOUN
ajema-7710	107	46	)	)	PUNCT
ajema-7710	107	47	.	.	PUNCT
ajema-7710	108	1	it	it	PRON
ajema-7710	108	2	is	be	AUX
ajema-7710	108	3	explained	explain	VERB
ajema-7710	108	4	as	as	ADP
ajema-7710	108	5	:	:	PUNCT
ajema-7710	108	6	:	:	PUNCT
ajema-7710	108	7	mse	mse	PROPN
ajema-7710	108	8	=	=	SYM
ajema-7710	108	9	∑	∑	PROPN
ajema-7710	108	10	(	(	PUNCT
ajema-7710	108	11	noisy	noisy	ADJ
ajema-7710	108	12	signal	signal	NOUN
ajema-7710	108	13	output	output	NOUN
ajema-7710	108	14	filtered	filter	VERB
ajema-7710	108	15	signal	signal	NOUN
ajema-7710	108	16	)	)	PUNCT
ajema-7710	108	17	2	2	NUM
ajema-7710	108	18	n	n	NOUN
ajema-7710	108	19	l=1	l=1	PROPN
ajema-7710	108	20	(	(	PUNCT
ajema-7710	108	21	15	15	NUM
ajema-7710	108	22	)	)	SYM
ajema-7710	108	23	209	209	NUM
ajema-7710	108	24	journal	journal	NOUN
ajema-7710	108	25	of	of	ADP
ajema-7710	108	26	engineering	engineering	NOUN
ajema-7710	108	27	,	,	PUNCT
ajema-7710	108	28	mechanics	mechanic	NOUN
ajema-7710	108	29	and	and	CCONJ
ajema-7710	108	30	architecture	architecture	NOUN
ajema-7710	108	31	www	www	NOUN
ajema-7710	108	32	.	.	PROPN
ajema-7710	109	1	grnjournal.us	grnjournal.us	X
ajema-7710	109	2	where	where	SCONJ
ajema-7710	109	3	,	,	PUNCT
ajema-7710	109	4	n	n	PRON
ajema-7710	109	5	denotes	denote	VERB
ajema-7710	109	6	the	the	DET
ajema-7710	109	7	domain	domain	NOUN
ajema-7710	109	8	of	of	ADP
ajema-7710	109	9	the	the	DET
ajema-7710	109	10	reconstructed	reconstructed	ADJ
ajema-7710	109	11	wave	wave	NOUN
ajema-7710	109	12	.	.	PUNCT
ajema-7710	110	1	the	the	DET
ajema-7710	110	2	real	real	ADJ
ajema-7710	110	3	-	-	PUNCT
ajema-7710	110	4	time	time	NOUN
ajema-7710	110	5	waves	wave	NOUN
ajema-7710	110	6	determined	determine	VERB
ajema-7710	110	7	along	along	ADP
ajema-7710	110	8	the	the	DET
ajema-7710	110	9	simulated	simulated	ADJ
ajema-7710	110	10	scheme	scheme	NOUN
ajema-7710	110	11	of	of	ADP
ajema-7710	110	12	both	both	CCONJ
ajema-7710	110	13	the	the	DET
ajema-7710	110	14	transmitter	transmitter	NOUN
ajema-7710	110	15	and	and	CCONJ
ajema-7710	110	16	receiver	receiver	ADJ
ajema-7710	110	17	units	unit	NOUN
ajema-7710	110	18	with	with	ADP
ajema-7710	110	19	samples	sample	NOUN
ajema-7710	110	20	of	of	ADP
ajema-7710	110	21	mse	mse	NOUN
ajema-7710	110	22	and	and	CCONJ
ajema-7710	110	23	ber	ber	NOUN
ajema-7710	110	24	results	result	NOUN
ajema-7710	110	25	for	for	ADP
ajema-7710	110	26	dofpso	dofpso	NOUN
ajema-7710	110	27	and	and	CCONJ
ajema-7710	110	28	lms	lm	NOUN
ajema-7710	110	29	have	have	AUX
ajema-7710	110	30	been	be	AUX
ajema-7710	110	31	illustrated	illustrate	VERB
ajema-7710	110	32	in	in	ADP
ajema-7710	110	33	fig	fig	NOUN
ajema-7710	110	34	.	.	PUNCT
ajema-7710	111	1	5	5	NUM
ajema-7710	111	2	through	through	ADP
ajema-7710	111	3	8	8	NUM
ajema-7710	111	4	.	.	PUNCT
ajema-7710	112	1	as	as	SCONJ
ajema-7710	112	2	previously	previously	ADV
ajema-7710	112	3	mentioned	mention	VERB
ajema-7710	112	4	,	,	PUNCT
ajema-7710	112	5	the	the	DET
ajema-7710	112	6	main	main	ADJ
ajema-7710	112	7	deficiencies	deficiency	NOUN
ajema-7710	112	8	of	of	ADP
ajema-7710	112	9	lms	lm	NOUN
ajema-7710	112	10	algorithm	algorithm	NOUN
ajema-7710	112	11	is	be	AUX
ajema-7710	112	12	its	its	PRON
ajema-7710	112	13	inferior	inferior	ADJ
ajema-7710	112	14	response	response	NOUN
ajema-7710	112	15	with	with	ADP
ajema-7710	112	16	non	non	ADJ
ajema-7710	112	17	-	-	ADJ
ajema-7710	112	18	linear	linear	ADJ
ajema-7710	112	19	waveforms	waveform	NOUN
ajema-7710	112	20	.	.	PUNCT
ajema-7710	113	1	therefore	therefore	ADV
ajema-7710	113	2	,	,	PUNCT
ajema-7710	113	3	for	for	ADP
ajema-7710	113	4	waveforms	waveform	NOUN
ajema-7710	113	5	corrupted	corrupt	VERB
ajema-7710	113	6	through	through	ADP
ajema-7710	113	7	both	both	DET
ajema-7710	113	8	awgn	awgn	NOUN
ajema-7710	113	9	as	as	ADV
ajema-7710	113	10	well	well	ADV
ajema-7710	113	11	as	as	ADP
ajema-7710	113	12	non	non	ADJ
ajema-7710	113	13	-	-	ADJ
ajema-7710	113	14	linear	linear	ADJ
ajema-7710	113	15	random	random	ADJ
ajema-7710	113	16	noise	noise	NOUN
ajema-7710	113	17	,	,	PUNCT
ajema-7710	113	18	an	an	DET
ajema-7710	113	19	equivalent	equivalent	ADJ
ajema-7710	113	20	simulations	simulation	NOUN
ajema-7710	113	21	have	have	AUX
ajema-7710	113	22	been	be	AUX
ajema-7710	113	23	produced	produce	VERB
ajema-7710	113	24	.	.	PUNCT
ajema-7710	114	1	furthermore	furthermore	ADV
ajema-7710	114	2	,	,	PUNCT
ajema-7710	114	3	multiple	multiple	ADJ
ajema-7710	114	4	frequency	frequency	NOUN
ajema-7710	114	5	ranges	range	NOUN
ajema-7710	114	6	have	have	AUX
ajema-7710	114	7	been	be	AUX
ajema-7710	114	8	implemented	implement	VERB
ajema-7710	114	9	to	to	PART
ajema-7710	114	10	simulate	simulate	VERB
ajema-7710	114	11	the	the	DET
ajema-7710	114	12	m	m	PROPN
ajema-7710	114	13	-	-	PUNCT
ajema-7710	114	14	psk	psk	PROPN
ajema-7710	114	15	modulation	modulation	NOUN
ajema-7710	114	16	technique	technique	NOUN
ajema-7710	114	17	utilized	utilize	VERB
ajema-7710	114	18	for	for	ADP
ajema-7710	114	19	the	the	DET
ajema-7710	114	20	cr	cr	PROPN
ajema-7710	114	21	’s	’s	PART
ajema-7710	114	22	dynamic	dynamic	ADJ
ajema-7710	114	23	frequency	frequency	NOUN
ajema-7710	114	24	connection	connection	NOUN
ajema-7710	114	25	capacities	capacity	NOUN
ajema-7710	114	26	.	.	PUNCT
ajema-7710	115	1	such	such	ADJ
ajema-7710	115	2	frequency	frequency	NOUN
ajema-7710	115	3	ranges	range	NOUN
ajema-7710	115	4	are	be	AUX
ajema-7710	115	5	taking	take	VERB
ajema-7710	115	6	values	value	NOUN
ajema-7710	115	7	of	of	ADP
ajema-7710	115	8	;	;	PUNCT
ajema-7710	115	9	2.4ghz	2.4ghz	NUM
ajema-7710	115	10	,	,	PUNCT
ajema-7710	115	11	5.8	5.8	NUM
ajema-7710	115	12	ghz	ghz	NOUN
ajema-7710	115	13	and	and	CCONJ
ajema-7710	115	14	60	60	NUM
ajema-7710	115	15	mhz	mhz	NOUN
ajema-7710	115	16	to	to	PART
ajema-7710	115	17	cover	cover	VERB
ajema-7710	115	18	both	both	PRON
ajema-7710	115	19	licensed	license	VERB
ajema-7710	115	20	as	as	ADV
ajema-7710	115	21	well	well	ADV
ajema-7710	115	22	as	as	ADP
ajema-7710	115	23	unlicensed	unlicensed	ADJ
ajema-7710	115	24	frequency	frequency	NOUN
ajema-7710	115	25	bands	band	NOUN
ajema-7710	115	26	utilized	utilize	VERB
ajema-7710	115	27	by	by	ADP
ajema-7710	115	28	cr	cr	NOUN
ajema-7710	115	29	schemes	scheme	NOUN
ajema-7710	115	30	to	to	PART
ajema-7710	115	31	investigate	investigate	VERB
ajema-7710	115	32	the	the	DET
ajema-7710	115	33	performance	performance	NOUN
ajema-7710	115	34	of	of	ADP
ajema-7710	115	35	the	the	DET
ajema-7710	115	36	lms	lm	NOUN
ajema-7710	115	37	and	and	CCONJ
ajema-7710	115	38	dofpso	dofpso	ADJ
ajema-7710	115	39	algorithms	algorithm	NOUN
ajema-7710	115	40	.	.	PUNCT
ajema-7710	116	1	figure	figure	VERB
ajema-7710	116	2	5	5	NUM
ajema-7710	116	3	:	:	PUNCT
ajema-7710	116	4	dofpso	dofpso	NOUN
ajema-7710	116	5	and	and	CCONJ
ajema-7710	116	6	lms	lm	NOUN
ajema-7710	116	7	for	for	ADP
ajema-7710	116	8	altering	alter	VERB
ajema-7710	116	9	snr	snr	NOUN
ajema-7710	116	10	constraints	constraint	NOUN
ajema-7710	116	11	.	.	PUNCT
ajema-7710	117	1	figure	figure	VERB
ajema-7710	117	2	6	6	NUM
ajema-7710	117	3	.	.	PUNCT
ajema-7710	118	1	ber	ber	NOUN
ajema-7710	118	2	of	of	ADP
ajema-7710	118	3	lms	lm	NOUN
ajema-7710	118	4	and	and	CCONJ
ajema-7710	118	5	dofpso	dofpso	VERB
ajema-7710	118	6	for	for	ADP
ajema-7710	118	7	noisy	noisy	ADJ
ajema-7710	118	8	waveforms	waveform	NOUN
ajema-7710	118	9	based	base	VERB
ajema-7710	118	10	on	on	ADP
ajema-7710	118	11	awgn	awgn	NOUN
ajema-7710	118	12	.	.	PUNCT
ajema-7710	119	1	210	210	NUM
ajema-7710	119	2	journal	journal	NOUN
ajema-7710	119	3	of	of	ADP
ajema-7710	119	4	engineering	engineering	NOUN
ajema-7710	119	5	,	,	PUNCT
ajema-7710	119	6	mechanics	mechanic	NOUN
ajema-7710	119	7	and	and	CCONJ
ajema-7710	119	8	architecture	architecture	NOUN
ajema-7710	119	9	www	www	NOUN
ajema-7710	119	10	.	.	PUNCT
ajema-7710	120	1	grnjournal.us	grnjournal.us	X
ajema-7710	120	2	figure	figure	VERB
ajema-7710	120	3	7	7	NUM
ajema-7710	120	4	:	:	PUNCT
ajema-7710	120	5	adaptive	adaptive	ADJ
ajema-7710	120	6	filter	filter	NOUN
ajema-7710	120	7	weights	weight	NOUN
ajema-7710	120	8	coefficients	coefficient	NOUN
ajema-7710	120	9	for	for	ADP
ajema-7710	120	10	both	both	CCONJ
ajema-7710	120	11	dofpso	dofpso	NOUN
ajema-7710	120	12	and	and	CCONJ
ajema-7710	120	13	lms	lm	NOUN
ajema-7710	120	14	algorithms	algorithm	NOUN
ajema-7710	120	15	.	.	PUNCT
ajema-7710	121	1	figure	figure	VERB
ajema-7710	121	2	8	8	NUM
ajema-7710	121	3	:	:	PUNCT
ajema-7710	121	4	adaptive	adaptive	ADJ
ajema-7710	121	5	weights	weight	NOUN
ajema-7710	121	6	coefficients	coefficient	NOUN
ajema-7710	121	7	for	for	ADP
ajema-7710	121	8	both	both	CCONJ
ajema-7710	121	9	dofpso	dofpso	NOUN
ajema-7710	121	10	and	and	CCONJ
ajema-7710	121	11	lms	lm	NOUN
ajema-7710	121	12	algorithms	algorithm	NOUN
ajema-7710	121	13	.	.	PUNCT
ajema-7710	122	1	now	now	ADV
ajema-7710	122	2	by	by	ADP
ajema-7710	122	3	referring	refer	VERB
ajema-7710	122	4	to	to	PART
ajema-7710	122	5	figure	figure	VERB
ajema-7710	122	6	5	5	NUM
ajema-7710	122	7	,	,	PUNCT
ajema-7710	122	8	it	it	PRON
ajema-7710	122	9	is	be	AUX
ajema-7710	122	10	clear	clear	ADJ
ajema-7710	122	11	that	that	SCONJ
ajema-7710	122	12	,	,	PUNCT
ajema-7710	122	13	the	the	DET
ajema-7710	122	14	mean	mean	ADJ
ajema-7710	122	15	square	square	NOUN
ajema-7710	122	16	error	error	NOUN
ajema-7710	122	17	,	,	PUNCT
ajema-7710	122	18	mse	mse	PROPN
ajema-7710	122	19	obtained	obtain	VERB
ajema-7710	122	20	utilizing	utilize	VERB
ajema-7710	122	21	the	the	DET
ajema-7710	122	22	improved	improved	ADJ
ajema-7710	122	23	pso	pso	NOUN
ajema-7710	122	24	algorithm	algorithm	NOUN
ajema-7710	122	25	(	(	PUNCT
ajema-7710	122	26	dofpso	dofpso	NOUN
ajema-7710	122	27	)	)	PUNCT
ajema-7710	122	28	has	have	VERB
ajema-7710	122	29	best	good	ADJ
ajema-7710	122	30	performance	performance	NOUN
ajema-7710	122	31	of	of	ADP
ajema-7710	122	32	that	that	PRON
ajema-7710	122	33	accomplished	accomplish	VERB
ajema-7710	122	34	by	by	ADP
ajema-7710	122	35	the	the	DET
ajema-7710	122	36	lms	lm	NOUN
ajema-7710	122	37	algorithm	algorithm	NOUN
ajema-7710	122	38	.	.	PUNCT
ajema-7710	123	1	accordingly	accordingly	ADV
ajema-7710	123	2	,	,	PUNCT
ajema-7710	123	3	as	as	ADP
ajema-7710	123	4	the	the	DET
ajema-7710	123	5	signal	signal	NOUN
ajema-7710	123	6	to	to	PART
ajema-7710	123	7	noise	noise	VERB
ajema-7710	123	8	,	,	PUNCT
ajema-7710	123	9	snr	snr	PROPN
ajema-7710	123	10	increased	increase	VERB
ajema-7710	123	11	,	,	PUNCT
ajema-7710	123	12	the	the	DET
ajema-7710	123	13	proposed	propose	VERB
ajema-7710	123	14	dofpso	dofpso	NOUN
ajema-7710	123	15	algorithm	algorithm	NOUN
ajema-7710	123	16	show	show	VERB
ajema-7710	123	17	a	a	DET
ajema-7710	123	18	noticeable	noticeable	ADJ
ajema-7710	123	19	enhanced	enhanced	ADJ
ajema-7710	123	20	mse	mse	NOUN
ajema-7710	123	21	that	that	SCONJ
ajema-7710	123	22	the	the	DET
ajema-7710	123	23	lms	lm	NOUN
ajema-7710	123	24	one	one	NUM
ajema-7710	123	25	.	.	PUNCT
ajema-7710	124	1	also	also	ADV
ajema-7710	124	2	,	,	PUNCT
ajema-7710	124	3	concerning	concern	VERB
ajema-7710	124	4	figure	figure	NOUN
ajema-7710	124	5	6	6	NUM
ajema-7710	124	6	,	,	PUNCT
ajema-7710	124	7	it	it	PRON
ajema-7710	124	8	is	be	AUX
ajema-7710	124	9	further	far	ADV
ajema-7710	124	10	obvious	obvious	ADJ
ajema-7710	124	11	the	the	DET
ajema-7710	124	12	effect	effect	NOUN
ajema-7710	124	13	of	of	ADP
ajema-7710	124	14	the	the	DET
ajema-7710	124	15	suggested	suggest	VERB
ajema-7710	124	16	dofpso	dofpso	PROPN
ajema-7710	124	17	algorithm	algorithm	NOUN
ajema-7710	124	18	influence	influence	NOUN
ajema-7710	124	19	over	over	ADP
ajema-7710	124	20	the	the	DET
ajema-7710	124	21	lms	lm	NOUN
ajema-7710	124	22	one	one	NUM
ajema-7710	124	23	on	on	ADP
ajema-7710	124	24	the	the	DET
ajema-7710	124	25	resulting	result	VERB
ajema-7710	124	26	bit	bit	NOUN
ajema-7710	124	27	error	error	NOUN
ajema-7710	124	28	rate	rate	NOUN
ajema-7710	124	29	ber	ber	NOUN
ajema-7710	124	30	of	of	ADP
ajema-7710	124	31	the	the	DET
ajema-7710	124	32	reconstructed	reconstructed	ADJ
ajema-7710	124	33	data	datum	NOUN
ajema-7710	124	34	,	,	PUNCT
ajema-7710	124	35	since	since	SCONJ
ajema-7710	124	36	by	by	ADP
ajema-7710	124	37	increasing	increase	VERB
ajema-7710	124	38	the	the	DET
ajema-7710	124	39	snr	snr	NOUN
ajema-7710	124	40	of	of	ADP
ajema-7710	124	41	the	the	DET
ajema-7710	124	42	transmitted	transmit	VERB
ajema-7710	124	43	digital	digital	ADJ
ajema-7710	124	44	signal	signal	NOUN
ajema-7710	124	45	,	,	PUNCT
ajema-7710	124	46	the	the	DET
ajema-7710	124	47	overall	overall	ADJ
ajema-7710	124	48	system	system	NOUN
ajema-7710	124	49	ber	ber	NOUN
ajema-7710	124	50	will	will	AUX
ajema-7710	124	51	greatly	greatly	ADV
ajema-7710	124	52	declines	decline	VERB
ajema-7710	124	53	with	with	ADP
ajema-7710	124	54	dofpso	dofpso	ADJ
ajema-7710	124	55	algorithm	algorithm	NOUN
ajema-7710	124	56	rather	rather	ADV
ajema-7710	124	57	than	than	ADP
ajema-7710	124	58	lms	lm	NOUN
ajema-7710	124	59	technique	technique	NOUN
ajema-7710	124	60	.	.	PUNCT
ajema-7710	125	1	we	we	PRON
ajema-7710	125	2	could	could	AUX
ajema-7710	125	3	noticed	notice	VERB
ajema-7710	125	4	that	that	SCONJ
ajema-7710	125	5	at	at	ADP
ajema-7710	125	6	10	10	NUM
ajema-7710	125	7	db	db	NOUN
ajema-7710	125	8	snr	snr	VERB
ajema-7710	125	9	the	the	DET
ajema-7710	125	10	degradation	degradation	NOUN
ajema-7710	125	11	in	in	ADP
ajema-7710	125	12	the	the	DET
ajema-7710	125	13	ber	ber	NOUN
ajema-7710	125	14	will	will	AUX
ajema-7710	125	15	lms	lms	PROPN
ajema-7710	125	16	dofpso	dofpso	VERB
ajema-7710	125	17	211	211	NUM
ajema-7710	125	18	journal	journal	NOUN
ajema-7710	125	19	of	of	ADP
ajema-7710	125	20	engineering	engineering	NOUN
ajema-7710	125	21	,	,	PUNCT
ajema-7710	125	22	mechanics	mechanic	NOUN
ajema-7710	125	23	and	and	CCONJ
ajema-7710	125	24	architecture	architecture	NOUN
ajema-7710	125	25	www	www	NOUN
ajema-7710	125	26	.	.	PUNCT
ajema-7710	126	1	grnjournal.us	grnjournal.us	X
ajema-7710	126	2	be	be	AUX
ajema-7710	126	3	reached	reach	VERB
ajema-7710	126	4	to	to	ADP
ajema-7710	126	5	-100	-100	PROPN
ajema-7710	126	6	db	db	PROPN
ajema-7710	126	7	using	use	VERB
ajema-7710	126	8	dofpso	dofpso	NOUN
ajema-7710	126	9	algorithm	algorithm	NOUN
ajema-7710	126	10	whereas	whereas	SCONJ
ajema-7710	126	11	by	by	ADP
ajema-7710	126	12	implementing	implement	VERB
ajema-7710	126	13	lms	lm	NOUN
ajema-7710	126	14	approach	approach	NOUN
ajema-7710	126	15	the	the	DET
ajema-7710	126	16	ber	ber	NOUN
ajema-7710	126	17	is	be	AUX
ajema-7710	126	18	only	only	ADV
ajema-7710	126	19	touched	touch	VERB
ajema-7710	126	20	-30	-30	PROPN
ajema-7710	126	21	db	db	PROPN
ajema-7710	126	22	declination	declination	NOUN
ajema-7710	126	23	.	.	PUNCT
ajema-7710	127	1	on	on	ADP
ajema-7710	127	2	the	the	DET
ajema-7710	127	3	other	other	ADJ
ajema-7710	127	4	hand	hand	NOUN
ajema-7710	127	5	,	,	PUNCT
ajema-7710	127	6	we	we	PRON
ajema-7710	127	7	can	can	AUX
ajema-7710	127	8	also	also	ADV
ajema-7710	127	9	see	see	VERB
ajema-7710	127	10	from	from	ADP
ajema-7710	127	11	figure	figure	NOUN
ajema-7710	127	12	7	7	NUM
ajema-7710	127	13	the	the	DET
ajema-7710	127	14	effect	effect	NOUN
ajema-7710	127	15	on	on	ADP
ajema-7710	127	16	utilizing	utilize	VERB
ajema-7710	127	17	the	the	DET
ajema-7710	127	18	proposed	propose	VERB
ajema-7710	127	19	adaptive	adaptive	ADJ
ajema-7710	127	20	dofpso	dofpso	NOUN
ajema-7710	127	21	over	over	ADP
ajema-7710	127	22	the	the	DET
ajema-7710	127	23	lms	lm	NOUN
ajema-7710	127	24	algorithm	algorithm	NOUN
ajema-7710	127	25	on	on	ADP
ajema-7710	127	26	the	the	DET
ajema-7710	127	27	adaptive	adaptive	ADJ
ajema-7710	127	28	filter	filter	NOUN
ajema-7710	127	29	weights	weight	NOUN
ajema-7710	127	30	coefficients	coefficient	NOUN
ajema-7710	127	31	.	.	PUNCT
ajema-7710	128	1	the	the	DET
ajema-7710	128	2	adaptive	adaptive	ADJ
ajema-7710	128	3	filter	filter	NOUN
ajema-7710	128	4	weights	weight	NOUN
ajema-7710	128	5	showing	show	VERB
ajema-7710	128	6	better	well	ADJ
ajema-7710	128	7	results	result	NOUN
ajema-7710	128	8	in	in	ADP
ajema-7710	128	9	their	their	PRON
ajema-7710	128	10	amplitudes	amplitude	NOUN
ajema-7710	128	11	when	when	SCONJ
ajema-7710	128	12	implementing	implement	VERB
ajema-7710	128	13	the	the	DET
ajema-7710	128	14	suggested	suggest	VERB
ajema-7710	128	15	adaptive	adaptive	ADJ
ajema-7710	128	16	dofpso	dofpso	PROPN
ajema-7710	128	17	algorithm	algorithm	NOUN
ajema-7710	128	18	that	that	SCONJ
ajema-7710	128	19	that	that	PRON
ajema-7710	128	20	of	of	ADP
ajema-7710	128	21	the	the	DET
ajema-7710	128	22	lms	lm	NOUN
ajema-7710	128	23	approach	approach	NOUN
ajema-7710	128	24	.	.	PUNCT
ajema-7710	129	1	finally	finally	ADV
ajema-7710	129	2	,	,	PUNCT
ajema-7710	129	3	the	the	DET
ajema-7710	129	4	most	most	ADV
ajema-7710	129	5	important	important	ADJ
ajema-7710	129	6	result	result	NOUN
ajema-7710	129	7	has	have	AUX
ajema-7710	129	8	been	be	AUX
ajema-7710	129	9	demonstrated	demonstrate	VERB
ajema-7710	129	10	in	in	ADP
ajema-7710	129	11	figure	figure	NOUN
ajema-7710	129	12	8	8	NUM
ajema-7710	129	13	,	,	PUNCT
ajema-7710	129	14	in	in	ADP
ajema-7710	129	15	which	which	PRON
ajema-7710	129	16	the	the	DET
ajema-7710	129	17	mean	mean	ADJ
ajema-7710	129	18	square	square	ADJ
ajema-7710	129	19	error	error	NOUN
ajema-7710	129	20	mse	mse	NOUN
ajema-7710	129	21	has	have	AUX
ajema-7710	129	22	been	be	AUX
ajema-7710	129	23	computed	compute	VERB
ajema-7710	129	24	for	for	ADP
ajema-7710	129	25	both	both	CCONJ
ajema-7710	129	26	adaptive	adaptive	ADJ
ajema-7710	129	27	dofpso	dofpso	NOUN
ajema-7710	129	28	and	and	CCONJ
ajema-7710	129	29	lms	lm	NOUN
ajema-7710	129	30	techniques	technique	NOUN
ajema-7710	129	31	.	.	PUNCT
ajema-7710	130	1	we	we	PRON
ajema-7710	130	2	can	can	AUX
ajema-7710	130	3	unquestionably	unquestionably	ADV
ajema-7710	130	4	measure	measure	VERB
ajema-7710	130	5	the	the	DET
ajema-7710	130	6	reduction	reduction	NOUN
ajema-7710	130	7	in	in	ADP
ajema-7710	130	8	the	the	DET
ajema-7710	130	9	mse	mse	NOUN
ajema-7710	130	10	value	value	NOUN
ajema-7710	130	11	calculated	calculate	VERB
ajema-7710	130	12	through	through	ADP
ajema-7710	130	13	utilization	utilization	NOUN
ajema-7710	130	14	of	of	ADP
ajema-7710	130	15	adaptive	adaptive	ADJ
ajema-7710	130	16	dofpso	dofpso	NOUN
ajema-7710	130	17	over	over	ADP
ajema-7710	130	18	lms	lm	NOUN
ajema-7710	130	19	algorithm	algorithm	NOUN
ajema-7710	130	20	.	.	PUNCT
ajema-7710	131	1	table	table	NOUN
ajema-7710	131	2	2	2	NUM
ajema-7710	131	3	illustrate	illustrate	VERB
ajema-7710	131	4	a	a	DET
ajema-7710	131	5	general	general	ADJ
ajema-7710	131	6	comparison	comparison	NOUN
ajema-7710	131	7	among	among	ADP
ajema-7710	131	8	adaptive	adaptive	ADJ
ajema-7710	131	9	dofpso	dofpso	NOUN
ajema-7710	131	10	and	and	CCONJ
ajema-7710	131	11	lms	lm	NOUN
ajema-7710	131	12	algorithms	algorithm	NOUN
ajema-7710	131	13	.	.	PUNCT
ajema-7710	132	1	table	table	NOUN
ajema-7710	132	2	1	1	NUM
ajema-7710	132	3	:	:	PUNCT
ajema-7710	132	4	general	general	ADJ
ajema-7710	132	5	comparison	comparison	NOUN
ajema-7710	132	6	among	among	ADP
ajema-7710	132	7	adaptive	adaptive	ADJ
ajema-7710	132	8	dofpso	dofpso	NOUN
ajema-7710	132	9	and	and	CCONJ
ajema-7710	132	10	lms	lm	NOUN
ajema-7710	132	11	algorithms	algorithm	NOUN
ajema-7710	132	12	.	.	PUNCT
ajema-7710	133	1	algorithm	algorithm	NOUN
ajema-7710	133	2	complexity	complexity	NOUN
ajema-7710	133	3	convergence	convergence	NOUN
ajema-7710	133	4	optimization	optimization	NOUN
ajema-7710	133	5	dofpso	dofpso	NOUN
ajema-7710	133	6	complex	complex	ADJ
ajema-7710	133	7	initial	initial	ADJ
ajema-7710	133	8	variables	variable	NOUN
ajema-7710	133	9	un	un	PROPN
ajema-7710	133	10	affected	affect	VERB
ajema-7710	133	11	e.g.	e.g.	ADV
ajema-7710	133	12	step	step	NOUN
ajema-7710	133	13	size	size	NOUN
ajema-7710	133	14	locate	locate	VERB
ajema-7710	133	15	global	global	ADJ
ajema-7710	133	16	minima	minima	PROPN
ajema-7710	133	17	lms	lms	PROPN
ajema-7710	133	18	simple	simple	ADJ
ajema-7710	133	19	initial	initial	ADJ
ajema-7710	133	20	variables	variable	NOUN
ajema-7710	133	21	affected	affect	VERB
ajema-7710	133	22	locate	locate	ADJ
ajema-7710	133	23	local	local	ADJ
ajema-7710	133	24	minima	minima	NOUN
ajema-7710	133	25	only	only	ADV
ajema-7710	133	26	conclusions	conclusion	NOUN
ajema-7710	133	27	this	this	DET
ajema-7710	133	28	study	study	NOUN
ajema-7710	133	29	describes	describe	VERB
ajema-7710	133	30	the	the	DET
ajema-7710	133	31	use	use	NOUN
ajema-7710	133	32	of	of	ADP
ajema-7710	133	33	lms	lm	NOUN
ajema-7710	133	34	algorithms	algorithm	NOUN
ajema-7710	133	35	in	in	ADP
ajema-7710	133	36	conjunction	conjunction	NOUN
ajema-7710	133	37	with	with	ADP
ajema-7710	133	38	the	the	DET
ajema-7710	133	39	adaptive	adaptive	ADJ
ajema-7710	133	40	improved	improved	ADJ
ajema-7710	133	41	pso	pso	NOUN
ajema-7710	133	42	(	(	PUNCT
ajema-7710	133	43	dofpso	dofpso	PROPN
ajema-7710	133	44	)	)	PUNCT
ajema-7710	133	45	.	.	PUNCT
ajema-7710	134	1	by	by	ADP
ajema-7710	134	2	simulating	simulate	VERB
ajema-7710	134	3	actual	actual	ADJ
ajema-7710	134	4	communication	communication	NOUN
ajema-7710	134	5	methods	method	NOUN
ajema-7710	134	6	and	and	CCONJ
ajema-7710	134	7	waveforms	waveform	NOUN
ajema-7710	134	8	tainted	taint	VERB
ajema-7710	134	9	by	by	ADP
ajema-7710	134	10	both	both	CCONJ
ajema-7710	134	11	gaussian	gaussian	ADJ
ajema-7710	134	12	and	and	CCONJ
ajema-7710	134	13	non	non	ADJ
ajema-7710	134	14	-	-	ADJ
ajema-7710	134	15	linear	linear	ADJ
ajema-7710	134	16	random	random	ADJ
ajema-7710	134	17	noise	noise	NOUN
ajema-7710	134	18	,	,	PUNCT
ajema-7710	134	19	massive	massive	ADJ
ajema-7710	134	20	simulations	simulation	NOUN
ajema-7710	134	21	were	be	AUX
ajema-7710	134	22	put	put	VERB
ajema-7710	134	23	into	into	ADP
ajema-7710	134	24	practice	practice	NOUN
ajema-7710	134	25	.	.	PUNCT
ajema-7710	135	1	ber	ber	NOUN
ajema-7710	135	2	and	and	CCONJ
ajema-7710	135	3	mse	mse	NOUN
ajema-7710	135	4	analysis	analysis	NOUN
ajema-7710	135	5	were	be	AUX
ajema-7710	135	6	used	use	VERB
ajema-7710	135	7	to	to	PART
ajema-7710	135	8	calculate	calculate	VERB
ajema-7710	135	9	and	and	CCONJ
ajema-7710	135	10	evaluate	evaluate	VERB
ajema-7710	135	11	the	the	DET
ajema-7710	135	12	two	two	NUM
ajema-7710	135	13	methods	method	NOUN
ajema-7710	135	14	'	'	PART
ajema-7710	135	15	efficiency	efficiency	NOUN
ajema-7710	135	16	.	.	PUNCT
ajema-7710	136	1	according	accord	VERB
ajema-7710	136	2	to	to	ADP
ajema-7710	136	3	simulation	simulation	NOUN
ajema-7710	136	4	data	data	PROPN
ajema-7710	136	5	,	,	PUNCT
ajema-7710	136	6	the	the	DET
ajema-7710	136	7	dofpso	dofpso	PROPN
ajema-7710	136	8	method	method	NOUN
ajema-7710	136	9	outperforms	outperform	VERB
ajema-7710	136	10	the	the	DET
ajema-7710	136	11	lms	lm	NOUN
ajema-7710	136	12	approach	approach	NOUN
ajema-7710	136	13	in	in	ADP
ajema-7710	136	14	terms	term	NOUN
ajema-7710	136	15	of	of	ADP
ajema-7710	136	16	expressively	expressively	ADV
ajema-7710	136	17	increased	increase	VERB
ajema-7710	136	18	ber	ber	NOUN
ajema-7710	136	19	for	for	ADP
ajema-7710	136	20	gaussian	gaussian	ADJ
ajema-7710	136	21	noise	noise	NOUN
ajema-7710	136	22	.	.	PUNCT
ajema-7710	137	1	by	by	ADP
ajema-7710	137	2	all	all	DET
ajema-7710	137	3	means	mean	NOUN
ajema-7710	137	4	,	,	PUNCT
ajema-7710	137	5	dofpso	dofpso	VERB
ajema-7710	137	6	still	still	ADV
ajema-7710	137	7	outperforms	outperform	VERB
ajema-7710	137	8	the	the	DET
ajema-7710	137	9	lms	lm	NOUN
ajema-7710	137	10	approach	approach	NOUN
ajema-7710	137	11	even	even	ADV
ajema-7710	137	12	if	if	SCONJ
ajema-7710	137	13	both	both	DET
ajema-7710	137	14	algorithms	algorithm	NOUN
ajema-7710	137	15	exhibit	exhibit	VERB
ajema-7710	137	16	declining	decline	VERB
ajema-7710	137	17	features	feature	NOUN
ajema-7710	137	18	for	for	ADP
ajema-7710	137	19	nonlinear	nonlinear	ADJ
ajema-7710	137	20	random	random	ADJ
ajema-7710	137	21	noise	noise	NOUN
ajema-7710	137	22	.	.	PUNCT
ajema-7710	138	1	in	in	ADP
ajema-7710	138	2	addition	addition	NOUN
ajema-7710	138	3	,	,	PUNCT
ajema-7710	138	4	the	the	DET
ajema-7710	138	5	mse	mse	NOUN
ajema-7710	138	6	system	system	NOUN
ajema-7710	138	7	of	of	ADP
ajema-7710	138	8	both	both	DET
ajema-7710	138	9	methods	method	NOUN
ajema-7710	138	10	was	be	AUX
ajema-7710	138	11	examined	examine	VERB
ajema-7710	138	12	for	for	ADP
ajema-7710	138	13	different	different	ADJ
ajema-7710	138	14	values	value	NOUN
ajema-7710	138	15	of	of	ADP
ajema-7710	138	16	snr	snr	NOUN
ajema-7710	138	17	.	.	PUNCT
ajema-7710	139	1	the	the	DET
ajema-7710	139	2	findings	finding	NOUN
ajema-7710	139	3	show	show	VERB
ajema-7710	139	4	that	that	SCONJ
ajema-7710	139	5	dofpso	dofpso	PROPN
ajema-7710	139	6	's	's	PART
ajema-7710	139	7	mse	mse	NOUN
ajema-7710	139	8	is	be	AUX
ajema-7710	139	9	less	less	ADJ
ajema-7710	139	10	than	than	ADP
ajema-7710	139	11	that	that	PRON
ajema-7710	139	12	of	of	ADP
ajema-7710	139	13	lms	lm	NOUN
ajema-7710	139	14	against	against	ADP
ajema-7710	139	15	advancing	advance	VERB
ajema-7710	139	16	snr	snr	NOUN
ajema-7710	139	17	.	.	PUNCT
ajema-7710	140	1	additionally	additionally	ADV
ajema-7710	140	2	,	,	PUNCT
ajema-7710	140	3	the	the	DET
ajema-7710	140	4	impact	impact	NOUN
ajema-7710	140	5	of	of	ADP
ajema-7710	140	6	step	step	NOUN
ajema-7710	140	7	lengths	length	NOUN
ajema-7710	140	8	and	and	CCONJ
ajema-7710	140	9	varying	vary	VERB
ajema-7710	140	10	particle	particle	NOUN
ajema-7710	140	11	ranges	range	VERB
ajema-7710	140	12	on	on	ADP
ajema-7710	140	13	the	the	DET
ajema-7710	140	14	mse	mse	NOUN
ajema-7710	140	15	of	of	ADP
ajema-7710	140	16	dofpso	dofpso	PROPN
ajema-7710	140	17	and	and	CCONJ
ajema-7710	140	18	lms	lm	NOUN
ajema-7710	140	19	were	be	AUX
ajema-7710	140	20	examined	examine	VERB
ajema-7710	140	21	.	.	PUNCT
ajema-7710	141	1	in	in	ADP
ajema-7710	141	2	general	general	ADJ
ajema-7710	141	3	,	,	PUNCT
ajema-7710	141	4	this	this	DET
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ajema-7710	142	13	evolutionary	evolutionary	ADJ
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ajema-7710	142	33	58203	58203	NUM
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ajema-7710	143	2	.	.	X
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ajema-7710	143	5	,	,	PUNCT
ajema-7710	143	6	et	et	PROPN
ajema-7710	143	7	.	.	PUNCT
ajema-7710	144	1	al	al	PROPN
ajema-7710	144	2	.	.	PROPN
ajema-7710	144	3	,	,	PUNCT
ajema-7710	144	4	"	"	PUNCT
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ajema-7710	144	11	dynamic	dynamic	ADJ
ajema-7710	144	12	environment	environment	NOUN
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ajema-7710	144	14	,	,	PUNCT
ajema-7710	144	15	conference	conference	NOUN
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ajema-7710	145	1	3	3	X
ajema-7710	145	2	.	.	X
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ajema-7710	145	7	.	.	PUNCT
ajema-7710	146	1	5	5	NUM
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ajema-7710	150	1	[	[	X
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ajema-7710	153	25	.	.	PUNCT
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ajema-7710	163	6	-	-	SYM
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ajema-7710	164	9	new	new	ADJ
ajema-7710	164	10	optimizer	optimizer	NOUN
ajema-7710	164	11	using	use	VERB
ajema-7710	164	12	particles	particle	NOUN
ajema-7710	164	13	swarm	swarm	NOUN
ajema-7710	164	14	theory	theory	NOUN
ajema-7710	164	15	,	,	PUNCT
ajema-7710	164	16	proc	proc	NOUN
ajema-7710	164	17	.	.	PUNCT
ajema-7710	165	1	sixth	sixth	ADJ
ajema-7710	165	2	international	international	ADJ
ajema-7710	165	3	symposium	symposium	NOUN
ajema-7710	165	4	on	on	ADP
ajema-7710	165	5	micro	micro	ADJ
ajema-7710	165	6	machine	machine	NOUN
ajema-7710	165	7	and	and	CCONJ
ajema-7710	165	8	human	human	ADJ
ajema-7710	165	9	science	science	NOUN
ajema-7710	165	10	(	(	PUNCT
ajema-7710	165	11	nagoya	nagoya	PROPN
ajema-7710	165	12	,	,	PUNCT
ajema-7710	165	13	japan	japan	PROPN
ajema-7710	165	14	)	)	PUNCT
ajema-7710	165	15	,	,	PUNCT
ajema-7710	165	16	ieee	ieee	NOUN
ajema-7710	165	17	service	service	NOUN
ajema-7710	165	18	center	center	NOUN
ajema-7710	165	19	,	,	PUNCT
ajema-7710	165	20	piscataway	piscataway	PROPN
ajema-7710	165	21	,	,	PUNCT
ajema-7710	165	22	nj	nj	PROPN
ajema-7710	165	23	,	,	PUNCT
ajema-7710	165	24	1995	1995	NUM
ajema-7710	165	25	:	:	PUNCT
ajema-7710	165	26	39	39	NUM
ajema-7710	165	27	-	-	SYM
ajema-7710	165	28	43	43	NUM
ajema-7710	165	29	.	.	PUNCT
ajema-7710	166	1	[	[	X
ajema-7710	166	2	5	5	NUM
ajema-7710	166	3	]	]	X
ajema-7710	166	4	kennedy	kennedy	PROPN
ajema-7710	166	5	,	,	PUNCT
ajema-7710	166	6	j.	j.	PROPN
ajema-7710	166	7	and	and	CCONJ
ajema-7710	166	8	eberhart	eberhart	PROPN
ajema-7710	166	9	,	,	PUNCT
ajema-7710	166	10	r.	r.	PROPN
ajema-7710	166	11	particle	particle	PROPN
ajema-7710	166	12	swarm	swarm	PROPN
ajema-7710	166	13	optimization	optimization	NOUN
ajema-7710	166	14	,	,	PUNCT
ajema-7710	166	15	ieee	ieee	PROPN
ajema-7710	166	16	international	international	ADJ
ajema-7710	166	17	conference	conference	NOUN
ajema-7710	166	18	on	on	ADP
ajema-7710	166	19	neural	neural	PROPN
ajema-7710	166	20	networks(perth	networks(perth	PROPN
ajema-7710	166	21	,	,	PUNCT
ajema-7710	166	22	australia	australia	PROPN
ajema-7710	166	23	)	)	PUNCT
ajema-7710	166	24	,	,	PUNCT
ajema-7710	166	25	ieee	ieee	NOUN
ajema-7710	166	26	service	service	NOUN
ajema-7710	166	27	center	center	NOUN
ajema-7710	166	28	,	,	PUNCT
ajema-7710	166	29	piscataway	piscataway	PROPN
ajema-7710	166	30	,	,	PUNCT
ajema-7710	166	31	nj	nj	PROPN
ajema-7710	166	32	,	,	PUNCT
ajema-7710	166	33	iv	iv	NUM
ajema-7710	166	34	,	,	PUNCT
ajema-7710	166	35	1995	1995	NUM
ajema-7710	166	36	:	:	PUNCT
ajema-7710	166	37	1942	1942	NUM
ajema-7710	166	38	-	-	SYM
ajema-7710	166	39	1948	1948	NUM
ajema-7710	166	40	.	.	PUNCT
ajema-7710	167	1	14	14	NUM
ajema-7710	167	2	.	.	PUNCT
ajema-7710	167	3	shim	shim	NOUN
ajema-7710	167	4	,	,	PUNCT
ajema-7710	167	5	y.	y.	PROPN
ajema-7710	167	6	h.	h.	PROPN
ajema-7710	167	7	,	,	PUNCT
ajema-7710	167	8	eberhart	eberhart	PROPN
ajema-7710	167	9	,	,	PUNCT
ajema-7710	167	10	r.	r.	PROPN
ajema-7710	167	11	c.	c.	PROPN
ajema-7710	167	12	parameter	parameter	PROPN
ajema-7710	167	13	selection	selection	NOUN
ajema-7710	167	14	in	in	ADP
ajema-7710	167	15	particle	particle	NOUN
ajema-7710	167	16	swarm	swarm	NOUN
ajema-7710	167	17	optimization	optimization	NOUN
ajema-7710	167	18	,	,	PUNCT
ajema-7710	167	19	the	the	DET
ajema-7710	167	20	7th	7th	ADJ
ajema-7710	167	21	annual	annual	ADJ
ajema-7710	167	22	conference	conference	NOUN
ajema-7710	167	23	on	on	ADP
ajema-7710	167	24	evolutionary	evolutionary	ADJ
ajema-7710	167	25	programming	programming	NOUN
ajema-7710	167	26	,	,	PUNCT
ajema-7710	167	27	san	san	PROPN
ajema-7710	167	28	diego	diego	PROPN
ajema-7710	167	29	,	,	PUNCT
ajema-7710	167	30	usa	usa	PROPN
ajema-7710	167	31	,	,	PUNCT
ajema-7710	167	32	1998	1998	NUM
ajema-7710	167	33	.	.	PUNCT
ajema-7710	168	1	[	[	X
ajema-7710	168	2	7	7	X
ajema-7710	168	3	]	]	SYM
ajema-7710	168	4	hu	hu	PROPN
ajema-7710	168	5	x	x	X
ajema-7710	168	6	,	,	PUNCT
ajema-7710	168	7	eberhartr	eberhartr	ADV
ajema-7710	168	8	.	.	PUNCT
ajema-7710	169	1	c.	c.	NOUN
ajema-7710	169	2	,	,	PUNCT
ajema-7710	169	3	adapticle	adapticle	NOUN
ajema-7710	169	4	swarm	swarm	NOUN
ajema-7710	169	5	optimization	optimization	NOUN
ajema-7710	169	6	:	:	PUNCT
ajema-7710	169	7	detection	detection	NOUN
ajema-7710	169	8	and	and	CCONJ
ajema-7710	169	9	response	response	NOUN
ajema-7710	169	10	to	to	ADP
ajema-7710	169	11	dynamic	dynamic	ADJ
ajema-7710	169	12	systems[c	systems[c	PROPN
ajema-7710	169	13	]	]	PUNCT
ajema-7710	169	14	,	,	PUNCT
ajema-7710	169	15	proceedings	proceeding	NOUN
ajema-7710	169	16	of	of	ADP
ajema-7710	169	17	the	the	DET
ajema-7710	169	18	ieee	ieee	NOUN
ajema-7710	169	19	intenational	intenational	ADJ
ajema-7710	169	20	conference	conference	NOUN
ajema-7710	169	21	on	on	ADP
ajema-7710	169	22	evolutionary	evolutionary	ADJ
ajema-7710	169	23	computation	computation	NOUN
ajema-7710	169	24	,	,	PUNCT
ajema-7710	169	25	honolulu	honolulu	PROPN
ajema-7710	169	26	,	,	PUNCT
ajema-7710	169	27	hawaii	hawaii	PROPN
ajema-7710	169	28	,	,	PUNCT
ajema-7710	169	29	usa	usa	PROPN
ajema-7710	169	30	.	.	PROPN
ajema-7710	169	31	piscataway	piscataway	PROPN
ajema-7710	169	32	,	,	PUNCT
ajema-7710	169	33	nj	nj	PROPN
ajema-7710	169	34	.	.	PUNCT
ajema-7710	169	35	:	:	PUNCT
ajema-7710	170	1	ieee	ieee	PROPN
ajema-7710	170	2	press	press	PROPN
ajema-7710	170	3	,	,	PUNCT
ajema-7710	170	4	2002	2002	NUM
ajema-7710	170	5	:	:	PUNCT
ajema-7710	170	6	1666	1666	NUM
ajema-7710	170	7	-	-	SYM
ajema-7710	170	8	1670	1670	NUM
ajema-7710	170	9	.	.	PUNCT
ajema-7710	171	1	15	15	NUM
ajema-7710	171	2	.	.	PUNCT
ajema-7710	171	3	zhan	zhan	PROPN
ajema-7710	171	4	di	di	PROPN
ajema-7710	171	5	,	,	PUNCT
ajema-7710	171	6	designing	design	VERB
ajema-7710	171	7	restart	restart	NOUN
ajema-7710	171	8	strategy	strategy	NOUN
ajema-7710	171	9	for	for	ADP
ajema-7710	171	10	randomized	randomized	ADJ
ajema-7710	171	11	algorithms	algorithm	NOUN
ajema-7710	171	12	and	and	CCONJ
ajema-7710	171	13	its	its	PRON
ajema-7710	171	14	applicationin	applicationin	ADJ
ajema-7710	171	15	solving	solve	VERB
ajema-7710	171	16	the	the	DET
ajema-7710	171	17	tsp	tsp	NOUN
ajema-7710	171	18	.	.	PUNCT
ajema-7710	172	1	chinese	chinese	ADJ
ajema-7710	172	2	j.	j.	PROPN
ajema-7710	172	3	computers	computers	PROPN
ajema-7710	172	4	,	,	PUNCT
ajema-7710	172	5	vol.25	vol.25	ADJ
ajema-7710	172	6	,	,	PUNCT
ajema-7710	172	7	no.5	no.5	PROPN
ajema-7710	172	8	,	,	PUNCT
ajema-7710	172	9	may	may	AUX
ajema-7710	172	10	2007:514	2007:514	NUM
ajema-7710	172	11	-	-	SYM
ajema-7710	172	12	519	519	NUM
ajema-7710	172	13	.	.	PUNCT
ajema-7710	173	1	16	16	NUM
ajema-7710	173	2	.	.	PUNCT
ajema-7710	174	1	t	t	PROPN
ajema-7710	174	2	blankwell	blankwell	PROPN
ajema-7710	174	3	,	,	PUNCT
ajema-7710	174	4	j	j	PROPN
ajema-7710	174	5	branke	branke	NOUN
ajema-7710	174	6	.	.	PUNCT
ajema-7710	175	1	multi	multi	ADJ
ajema-7710	175	2	-	-	ADJ
ajema-7710	175	3	swarm	swarm	ADJ
ajema-7710	175	4	optimization	optimization	NOUN
ajema-7710	175	5	in	in	ADP
ajema-7710	175	6	dynamic	dynamic	ADJ
ajema-7710	175	7	environments[c	environments[c	PROPN
ajema-7710	175	8	]	]	PUNCT
ajema-7710	175	9	.	.	PUNCT
ajema-7710	176	1	in	in	ADP
ajema-7710	176	2	:	:	PUNCT
ajema-7710	176	3	proc	proc	NOUN
ajema-7710	176	4	of	of	ADP
ajema-7710	176	5	applications	application	NOUN
ajema-7710	176	6	of	of	ADP
ajema-7710	176	7	evolutionary	evolutionary	ADJ
ajema-7710	176	8	computing	computing	NOUN
ajema-7710	176	9	,	,	PUNCT
ajema-7710	176	10	lncs	lncs	PROPN
ajema-7710	176	11	3005	3005	NUM
ajema-7710	176	12	.	.	PUNCT
ajema-7710	177	1	berlin	berlin	PROPN
ajema-7710	177	2	:	:	PUNCT
ajema-7710	177	3	springer	springer	NOUN
ajema-7710	177	4	-	-	PUNCT
ajema-7710	177	5	verlag	verlag	PROPN
ajema-7710	177	6	,	,	PUNCT
ajema-7710	177	7	2004	2004	NUM
ajema-7710	177	8	:	:	PUNCT
ajema-7710	177	9	489500	489500	NUM
ajema-7710	177	10	.	.	PUNCT
ajema-7710	178	1	17	17	NUM
ajema-7710	178	2	.	.	PUNCT
ajema-7710	179	1	dou	dou	PROPN
ajema-7710	179	2	quansheng	quansheng	PROPN
ajema-7710	179	3	,	,	PUNCT
ajema-7710	179	4	zhou	zhou	PROPN
ajema-7710	179	5	chunguang	chunguang	PROPN
ajema-7710	179	6	,	,	PUNCT
ajema-7710	179	7	xu	xu	PROPN
ajema-7710	179	8	zhougyu	zhougyu	PROPN
ajema-7710	179	9	,	,	PUNCT
ajema-7710	179	10	et	et	PROPN
ajema-7710	179	11	al	al	PROPN
ajema-7710	179	12	.	.	PUNCT
ajema-7710	179	13	swarm	swarm	NOUN
ajema-7710	179	14	-	-	PUNCT
ajema-7710	179	15	core	core	NOUN
ajema-7710	179	16	evolutionary	evolutionary	ADJ
ajema-7710	179	17	particle	particle	NOUN
ajema-7710	179	18	swarm	swarm	NOUN
ajema-7710	179	19	optimization	optimization	NOUN
ajema-7710	179	20	in	in	ADP
ajema-7710	179	21	dynamic	dynamic	ADJ
ajema-7710	179	22	optimization	optimization	NOUN
ajema-7710	179	23	environments	environment	NOUN
ajema-7710	180	1	[	[	X
ajema-7710	180	2	j	j	X
ajema-7710	180	3	]	]	X
ajema-7710	180	4	.	.	PUNCT
ajema-7710	181	1	journal	journal	PROPN
ajema-7710	181	2	of	of	ADP
ajema-7710	181	3	comoputer	comoputer	PROPN
ajema-7710	181	4	research	research	NOUN
ajema-7710	181	5	and	and	CCONJ
ajema-7710	181	6	development	development	NOUN
ajema-7710	181	7	,	,	PUNCT
ajema-7710	181	8	2006	2006	NUM
ajema-7710	181	9	,	,	PUNCT
ajema-7710	181	10	43(1	43(1	NUM
ajema-7710	181	11	):	):	PUNCT
ajema-7710	181	12	89	89	NUM
ajema-7710	181	13	-	-	SYM
ajema-7710	181	14	95	95	NUM
ajema-7710	181	15	(	(	PUNCT
ajema-7710	181	16	in	in	ADP
ajema-7710	181	17	chinese	chinese	PROPN
ajema-7710	181	18	)	)	PUNCT
ajema-7710	181	19	.	.	PUNCT
ajema-7710	182	1	18	18	NUM
ajema-7710	182	2	.	.	X
ajema-7710	183	1	y	y	PROPN
ajema-7710	183	2	jin	jin	PROPN
ajema-7710	183	3	,	,	PUNCT
ajema-7710	183	4	j	j	PROPN
ajema-7710	183	5	branke	branke	NOUN
ajema-7710	183	6	.	.	PUNCT
ajema-7710	184	1	evolutionary	evolutionary	ADJ
ajema-7710	184	2	optimization	optimization	NOUN
ajema-7710	184	3	in	in	ADP
ajema-7710	184	4	uncertain	uncertain	ADJ
ajema-7710	184	5	environmentsła	environmentsła	NOUN
ajema-7710	184	6	survey[j	survey[j	PROPN
ajema-7710	184	7	]	]	PUNCT
ajema-7710	184	8	.	.	PUNCT
ajema-7710	185	1	ieee	ieee	PROPN
ajema-7710	185	2	trans	tran	NOUN
ajema-7710	185	3	on	on	ADP
ajema-7710	185	4	evolutionary	evolutionary	ADJ
ajema-7710	185	5	computation	computation	NOUN
ajema-7710	185	6	,	,	PUNCT
ajema-7710	185	7	2005	2005	NUM
ajema-7710	185	8	,	,	PUNCT
ajema-7710	185	9	9(3	9(3	NUM
ajema-7710	185	10	):	):	PUNCT
ajema-7710	185	11	303	303	NUM
ajema-7710	185	12	-	-	SYM
ajema-7710	185	13	217	217	NUM
ajema-7710	185	14	.	.	PUNCT
ajema-7710	186	1	[	[	X
ajema-7710	186	2	12	12	NUM
ajema-7710	186	3	]	]	X
ajema-7710	186	4	cruzc	cruzc	PROPN
ajema-7710	186	5	,	,	PUNCT
ajema-7710	186	6	gonz	gonz	PROPN
ajema-7710	186	7	lez	lez	PROPN
ajema-7710	186	8	j	j	PROPN
ajema-7710	186	9	r	r	PROPN
ajema-7710	186	10	,	,	PUNCT
ajema-7710	186	11	pelta	pelta	NOUN
ajema-7710	186	12	d	d	NOUN
ajema-7710	186	13	a.	a.	NOUN
ajema-7710	186	14	optimization	optimization	NOUN
ajema-7710	186	15	in	in	ADP
ajema-7710	186	16	dy	dy	ADJ
ajema-7710	186	17	-	-	ADJ
ajema-7710	186	18	namic	namic	ADJ
ajema-7710	186	19	environments	environment	NOUN
ajema-7710	186	20	:	:	PUNCT
ajema-7710	186	21	a	a	DET
ajema-7710	186	22	survey	survey	NOUN
ajema-7710	186	23	on	on	ADP
ajema-7710	186	24	problems	problem	NOUN
ajema-7710	186	25	,	,	PUNCT
ajema-7710	186	26	methods	method	NOUN
ajema-7710	186	27	and	and	CCONJ
ajema-7710	186	28	measures	measure	NOUN
ajema-7710	186	29	.	.	PUNCT
ajema-7710	187	1	soft	soft	ADJ
ajema-7710	187	2	comput(2011	comput(2011	NOUN
ajema-7710	187	3	)	)	PUNCT
ajema-7710	187	4	15	15	NUM
ajema-7710	187	5	,	,	PUNCT
ajema-7710	187	6	springer	springer	NOUN
ajema-7710	187	7	,	,	PUNCT
ajema-7710	187	8	pp	pp	ADP
ajema-7710	187	9	:	:	PUNCT
ajema-7710	187	10	1247	1247	NUM
ajema-7710	187	11	-	-	SYM
ajema-7710	187	12	1248	1248	NUM
ajema-7710	187	13	.	.	PUNCT
ajema-7710	188	1	19	19	NUM
ajema-7710	188	2	.	.	X
ajema-7710	188	3	shi	shi	PROPN
ajema-7710	188	4	,	,	PUNCT
ajema-7710	188	5	y.	y.	PROPN
ajema-7710	188	6	and	and	CCONJ
ajema-7710	188	7	eberhart	eberhart	PROPN
ajema-7710	188	8	,	,	PUNCT
ajema-7710	188	9	r.	r.	PROPN
ajema-7710	188	10	c.	c.	PROPN
ajema-7710	188	11	a	a	DET
ajema-7710	188	12	modified	modify	VERB
ajema-7710	188	13	particle	particle	NOUN
ajema-7710	188	14	swarm	swarm	NOUN
ajema-7710	188	15	optimizer	optimizer	NOUN
ajema-7710	188	16	.	.	PUNCT
ajema-7710	189	1	proceedings	proceeding	NOUN
ajema-7710	189	2	of	of	ADP
ajema-7710	189	3	the	the	DET
ajema-7710	189	4	ieee	ieee	NOUN
ajema-7710	189	5	international	international	PROPN
ajema-7710	189	6	conference	conference	NOUN
ajema-7710	189	7	on	on	ADP
ajema-7710	189	8	evolutionary	evolutionary	ADJ
ajema-7710	189	9	computation	computation	NOUN
ajema-7710	189	10	.	.	PUNCT
ajema-7710	190	1	piscataway	piscataway	PROPN
ajema-7710	190	2	,	,	PUNCT
ajema-7710	190	3	nj	nj	PROPN
ajema-7710	190	4	:	:	PUNCT
ajema-7710	190	5	ieee	ieee	PROPN
ajema-7710	190	6	press	press	NOUN
ajema-7710	190	7	,	,	PUNCT
ajema-7710	190	8	1998	1998	NUM
ajema-7710	190	9	,	,	PUNCT
ajema-7710	190	10	pp:69	pp:69	NOUN
ajema-7710	190	11	-	-	PUNCT
ajema-7710	190	12	73	73	NUM
ajema-7710	190	13	.	.	PUNCT
ajema-7710	191	1	20	20	NUM
ajema-7710	191	2	.	.	X
ajema-7710	192	1	clerc	clerc	PROPN
ajema-7710	192	2	,	,	PUNCT
ajema-7710	192	3	m.	m.	NOUN
ajema-7710	192	4	,	,	PUNCT
ajema-7710	192	5	(	(	PUNCT
ajema-7710	192	6	1999	1999	NUM
ajema-7710	192	7	)	)	PUNCT
ajema-7710	192	8	.	.	PUNCT
ajema-7710	193	1	the	the	DET
ajema-7710	193	2	swarm	swarm	NOUN
ajema-7710	193	3	and	and	CCONJ
ajema-7710	193	4	the	the	DET
ajema-7710	193	5	queen	queen	NOUN
ajema-7710	193	6	:	:	PUNCT
ajema-7710	193	7	towards	towards	ADP
ajema-7710	193	8	a	a	DET
ajema-7710	193	9	deterministic	deterministic	ADJ
ajema-7710	193	10	and	and	CCONJ
ajema-7710	193	11	adaptive	adaptive	ADJ
ajema-7710	193	12	particle	particle	NOUN
ajema-7710	193	13	swarm	swarm	NOUN
ajema-7710	193	14	optimization	optimization	NOUN
ajema-7710	193	15	.	.	PUNCT
ajema-7710	194	1	proceedings	proceeding	NOUN
ajema-7710	194	2	,	,	PUNCT
ajema-7710	194	3	icec	icec	PROPN
ajema-7710	194	4	,	,	PUNCT
ajema-7710	194	5	washington	washington	PROPN
ajema-7710	194	6	,	,	PUNCT
ajema-7710	194	7	dc	dc	PROPN
ajema-7710	194	8	,	,	PUNCT
ajema-7710	194	9	usa	usa	PROPN
ajema-7710	194	10	.	.	PROPN
ajema-7710	194	11	21	21	NUM
ajema-7710	194	12	.	.	PUNCT
ajema-7710	195	1	peng	peng	PROPN
ajema-7710	195	2	shige	shige	PROPN
ajema-7710	195	3	.	.	PUNCT
ajema-7710	196	1	survey	survey	NOUN
ajema-7710	196	2	on	on	ADP
ajema-7710	196	3	normal	normal	ADJ
ajema-7710	196	4	distributions	distribution	NOUN
ajema-7710	196	5	,	,	PUNCT
ajema-7710	196	6	central	central	ADJ
ajema-7710	196	7	limit	limit	NOUN
ajema-7710	196	8	theorem	theorem	VERB
ajema-7710	196	9	,	,	PUNCT
ajema-7710	196	10	brownian	brownian	ADJ
ajema-7710	196	11	motion	motion	NOUN
ajema-7710	196	12	and	and	CCONJ
ajema-7710	196	13	the	the	DET
ajema-7710	196	14	related	relate	VERB
ajema-7710	196	15	stochastic	stochastic	ADJ
ajema-7710	196	16	calculus	calculus	NOUN
ajema-7710	196	17	under	under	ADP
ajema-7710	196	18	sublinear	sublinear	NOUN
ajema-7710	196	19	expectations	expectation	NOUN
ajema-7710	196	20	.	.	PUNCT
ajema-7710	197	1	science	science	NOUN
ajema-7710	197	2	in	in	ADP
ajema-7710	197	3	china	china	PROPN
ajema-7710	197	4	series	series	PROPN
ajema-7710	197	5	a	a	DET
ajema-7710	197	6	:	:	PUNCT
ajema-7710	197	7	mathematics	mathematic	NOUN
ajema-7710	197	8	.	.	PUNCT
ajema-7710	198	1	jul	jul	PROPN
ajema-7710	198	2	,	,	PUNCT
ajema-7710	198	3	2009	2009	NUM
ajema-7710	198	4	,	,	PUNCT
ajema-7710	198	5	vol	vol	NOUN
ajema-7710	198	6	.	.	PROPN
ajema-7710	198	7	52	52	NUM
ajema-7710	198	8	,	,	PUNCT
ajema-7710	198	9	no	no	INTJ
ajema-7710	198	10	.	.	NOUN
ajema-7710	198	11	7	7	NUM
ajema-7710	198	12	:	:	PUNCT
ajema-7710	198	13	1391c1411	1391c1411	NUM
ajema-7710	198	14	.	.	PUNCT
ajema-7710	199	1	22	22	NUM
ajema-7710	199	2	.	.	PUNCT
ajema-7710	200	1	k.	k.	PROPN
ajema-7710	200	2	weicker	weicker	PROPN
ajema-7710	200	3	,	,	PUNCT
ajema-7710	200	4	performance	performance	NOUN
ajema-7710	200	5	measures	measure	NOUN
ajema-7710	200	6	for	for	ADP
ajema-7710	200	7	dynamic	dynamic	ADJ
ajema-7710	200	8	environments	environment	NOUN
ajema-7710	200	9	,	,	PUNCT
ajema-7710	200	10	in	in	ADP
ajema-7710	200	11	parallel	parallel	ADJ
ajema-7710	200	12	problems	problem	NOUN
ajema-7710	200	13	solving	solve	VERB
ajema-7710	200	14	from	from	ADP
ajema-7710	200	15	nature	nature	NOUN
ajema-7710	200	16	,	,	PUNCT
ajema-7710	200	17	ser	ser	PROPN
ajema-7710	200	18	.	.	PROPN
ajema-7710	200	19	lncs	lncs	PROPN
ajema-7710	200	20	2439	2439	NUM
ajema-7710	200	21	.	.	PUNCT
ajema-7710	201	1	berlin	berlin	PROPN
ajema-7710	201	2	,	,	PUNCT
ajema-7710	201	3	germany	germany	PROPN
ajema-7710	201	4	:	:	PUNCT
ajema-7710	201	5	springer	springer	NOUN
ajema-7710	201	6	-	-	PUNCT
ajema-7710	201	7	verlag	verlag	PROPN
ajema-7710	201	8	,	,	PUNCT
ajema-7710	201	9	2002	2002	NUM
ajema-7710	201	10	,	,	PUNCT
ajema-7710	201	11	pp	pp	CCONJ
ajema-7710	201	12	:	:	PUNCT
ajema-7710	201	13	64	64	NUM
ajema-7710	201	14	-	-	SYM
ajema-7710	201	15	73	73	NUM
ajema-7710	201	16	.	.	PUNCT