id	sid	tid	token	lemma	pos
cana-1633	1	1	communications	communication	NOUN
cana-1633	1	2	on	on	ADP
cana-1633	1	3	applied	apply	VERB
cana-1633	1	4	nonlinear	nonlinear	ADJ
cana-1633	1	5	analysis	analysis	NOUN
cana-1633	1	6	issn	issn	NOUN
cana-1633	1	7	:	:	PUNCT
cana-1633	1	8	1074	1074	NUM
cana-1633	1	9	-	-	PUNCT
cana-1633	1	10	133x	133x	NUM
cana-1633	1	11	vol	vol	NOUN
cana-1633	1	12	32	32	NUM
cana-1633	1	13	no	no	NOUN
cana-1633	1	14	.	.	NOUN
cana-1633	1	15	1	1	NUM
cana-1633	1	16	(	(	PUNCT
cana-1633	1	17	2025	2025	NUM
cana-1633	1	18	)	)	PUNCT
cana-1633	1	19	226	226	NUM
cana-1633	1	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-1633	1	21	mathematical	mathematical	ADJ
cana-1633	1	22	techniques	technique	NOUN
cana-1633	1	23	for	for	ADP
cana-1633	1	24	enhancing	enhance	VERB
cana-1633	1	25	signal	signal	ADJ
cana-1633	1	26	processing	processing	NOUN
cana-1633	1	27	in	in	ADP
cana-1633	1	28	electronics	electronics	PROPN
cana-1633	1	29	dr	dr	PROPN
cana-1633	1	30	.	.	PROPN
cana-1633	1	31	ashok	ashok	PROPN
cana-1633	1	32	khedkar1	khedkar1	PROPN
cana-1633	1	33	,	,	PUNCT
cana-1633	1	34	prof	prof	PROPN
cana-1633	1	35	.	.	PUNCT
cana-1633	2	1	shashikant	shashikant	PROPN
cana-1633	2	2	sahare2	sahare2	PROPN
cana-1633	2	3	,	,	PUNCT
cana-1633	2	4	dr	dr	PROPN
cana-1633	2	5	.	.	PROPN
cana-1633	2	6	mahesh	mahesh	PROPN
cana-1633	2	7	pote3	pote3	PROPN
cana-1633	3	1	1,2,3	1,2,3	NUM
cana-1633	3	2	department	department	NOUN
cana-1633	3	3	of	of	ADP
cana-1633	3	4	electronic	electronic	ADJ
cana-1633	3	5	and	and	CCONJ
cana-1633	3	6	telecommunication	telecommunication	NOUN
cana-1633	3	7	,	,	PUNCT
cana-1633	3	8	cummins	cummins	PROPN
cana-1633	3	9	college	college	PROPN
cana-1633	3	10	of	of	ADP
cana-1633	3	11	engineering	engineering	NOUN
cana-1633	3	12	for	for	ADP
cana-1633	3	13	women	woman	NOUN
cana-1633	3	14	pune	pune	PROPN
cana-1633	3	15	-52	-52	PROPN
cana-1633	3	16	.	.	PROPN
cana-1633	3	17	ashok.khedkar@cumminscollege.in	ashok.khedkar@cumminscollege.in	PROPN
cana-1633	3	18	,	,	PUNCT
cana-1633	3	19	2shashikant.sahare@cumminscollege.in	2shashikant.sahare@cumminscollege.in	NUM
cana-1633	3	20	,	,	PUNCT
cana-1633	3	21	3mahesh.pote@cumminscollege.in	3mahesh.pote@cumminscollege.in	NUM
cana-1633	3	22	article	article	NOUN
cana-1633	3	23	history	history	NOUN
cana-1633	3	24	:	:	PUNCT
cana-1633	3	25	received	receive	VERB
cana-1633	3	26	:	:	PUNCT
cana-1633	3	27	12	12	NUM
cana-1633	3	28	-	-	PUNCT
cana-1633	3	29	07	07	NUM
cana-1633	3	30	-	-	PUNCT
cana-1633	3	31	2024	2024	NUM
cana-1633	3	32	revised	revise	VERB
cana-1633	3	33	:	:	PUNCT
cana-1633	3	34	28	28	NUM
cana-1633	3	35	-	-	SYM
cana-1633	3	36	08	08	NUM
cana-1633	3	37	-	-	PUNCT
cana-1633	3	38	2024	2024	NUM
cana-1633	3	39	accepted	accept	VERB
cana-1633	3	40	:	:	PUNCT
cana-1633	3	41	09	09	NUM
cana-1633	3	42	-	-	PUNCT
cana-1633	3	43	09	09	NUM
cana-1633	3	44	-	-	PUNCT
cana-1633	3	45	2024	2024	NUM
cana-1633	3	46	abstract	abstract	NOUN
cana-1633	3	47	:	:	PUNCT
cana-1633	3	48	flag	flag	NOUN
cana-1633	3	49	preparing	prepare	VERB
cana-1633	3	50	is	be	AUX
cana-1633	3	51	an	an	DET
cana-1633	3	52	critical	critical	ADJ
cana-1633	3	53	portion	portion	NOUN
cana-1633	3	54	of	of	ADP
cana-1633	3	55	advanced	advanced	ADJ
cana-1633	3	56	innovation	innovation	NOUN
cana-1633	3	57	since	since	SCONJ
cana-1633	3	58	it	it	PRON
cana-1633	3	59	lets	let	VERB
cana-1633	3	60	us	we	PRON
cana-1633	3	61	analyze	analyze	VERB
cana-1633	3	62	,	,	PUNCT
cana-1633	3	63	alter	alter	NOUN
cana-1633	3	64	,	,	PUNCT
cana-1633	3	65	and	and	CCONJ
cana-1633	3	66	progress	progress	VERB
cana-1633	3	67	information	information	NOUN
cana-1633	3	68	for	for	ADP
cana-1633	3	69	numerous	numerous	ADJ
cana-1633	3	70	employments	employment	NOUN
cana-1633	3	71	,	,	PUNCT
cana-1633	3	72	from	from	ADP
cana-1633	3	73	therapeutic	therapeutic	ADJ
cana-1633	3	74	checks	check	NOUN
cana-1633	3	75	to	to	PART
cana-1633	3	76	broadcast	broadcast	VERB
cana-1633	3	77	communications	communication	NOUN
cana-1633	3	78	.	.	PUNCT
cana-1633	4	1	with	with	ADP
cana-1633	4	2	the	the	DET
cana-1633	4	3	expansion	expansion	NOUN
cana-1633	4	4	of	of	ADP
cana-1633	4	5	progressed	progress	VERB
cana-1633	4	6	numerical	numerical	ADJ
cana-1633	4	7	strategies	strategy	NOUN
cana-1633	4	8	to	to	ADP
cana-1633	4	9	information	information	NOUN
cana-1633	4	10	handling	handling	NOUN
cana-1633	4	11	,	,	PUNCT
cana-1633	4	12	electronic	electronic	ADJ
cana-1633	4	13	frameworks	framework	NOUN
cana-1633	4	14	have	have	AUX
cana-1633	4	15	gotten	get	VERB
cana-1633	4	16	to	to	PART
cana-1633	4	17	be	be	AUX
cana-1633	4	18	much	much	ADV
cana-1633	4	19	more	more	ADV
cana-1633	4	20	valuable	valuable	ADJ
cana-1633	4	21	and	and	CCONJ
cana-1633	4	22	precise	precise	ADJ
cana-1633	4	23	.	.	PUNCT
cana-1633	5	1	this	this	DET
cana-1633	5	2	paper	paper	NOUN
cana-1633	5	3	looks	look	VERB
cana-1633	5	4	at	at	ADP
cana-1633	5	5	a	a	DET
cana-1633	5	6	few	few	ADJ
cana-1633	5	7	vital	vital	ADJ
cana-1633	5	8	numerical	numerical	ADJ
cana-1633	5	9	procedures	procedure	NOUN
cana-1633	5	10	that	that	PRON
cana-1633	5	11	are	be	AUX
cana-1633	5	12	utilized	utilize	VERB
cana-1633	5	13	to	to	PART
cana-1633	5	14	move	move	VERB
cana-1633	5	15	forward	forward	ADV
cana-1633	5	16	flag	flag	NOUN
cana-1633	5	17	handling	handling	NOUN
cana-1633	5	18	.	.	PUNCT
cana-1633	6	1	it	it	PRON
cana-1633	6	2	centers	center	VERB
cana-1633	6	3	on	on	ADP
cana-1633	6	4	calculations	calculation	NOUN
cana-1633	6	5	and	and	CCONJ
cana-1633	6	6	hypothetical	hypothetical	ADJ
cana-1633	6	7	models	model	NOUN
cana-1633	6	8	that	that	PRON
cana-1633	6	9	make	make	VERB
cana-1633	6	10	flag	flag	NOUN
cana-1633	6	11	examination	examination	NOUN
cana-1633	6	12	and	and	CCONJ
cana-1633	6	13	modifying	modify	VERB
cana-1633	6	14	way	way	NOUN
cana-1633	6	15	better	well	ADV
cana-1633	6	16	.	.	PUNCT
cana-1633	7	1	it	it	PRON
cana-1633	7	2	is	be	AUX
cana-1633	7	3	looked	look	VERB
cana-1633	7	4	at	at	ADP
cana-1633	7	5	how	how	SCONJ
cana-1633	7	6	procedures	procedure	NOUN
cana-1633	7	7	like	like	ADP
cana-1633	7	8	fourier	fourier	NOUN
cana-1633	7	9	changes	change	NOUN
cana-1633	7	10	,	,	PUNCT
cana-1633	7	11	wavelet	wavelet	NOUN
cana-1633	7	12	changes	change	NOUN
cana-1633	7	13	,	,	PUNCT
cana-1633	7	14	and	and	CCONJ
cana-1633	7	15	measurable	measurable	ADJ
cana-1633	7	16	flag	flag	NOUN
cana-1633	7	17	preparing	prepare	VERB
cana-1633	7	18	can	can	AUX
cana-1633	7	19	offer	offer	VERB
cana-1633	7	20	assistance	assistance	NOUN
cana-1633	7	21	move	move	VERB
cana-1633	7	22	forward	forward	ADV
cana-1633	7	23	sifting	sift	VERB
cana-1633	7	24	,	,	PUNCT
cana-1633	7	25	commotion	commotion	NOUN
cana-1633	7	26	diminishment	diminishment	NOUN
cana-1633	7	27	,	,	PUNCT
cana-1633	7	28	and	and	CCONJ
cana-1633	7	29	determination	determination	NOUN
cana-1633	7	30	.	.	PUNCT
cana-1633	8	1	the	the	DET
cana-1633	8	2	fourier	fourier	NOUN
cana-1633	8	3	change	change	NOUN
cana-1633	8	4	can	can	AUX
cana-1633	8	5	break	break	VERB
cana-1633	8	6	down	down	ADP
cana-1633	8	7	signals	signal	NOUN
cana-1633	8	8	into	into	ADP
cana-1633	8	9	their	their	PRON
cana-1633	8	10	recurrence	recurrence	NOUN
cana-1633	8	11	components	component	NOUN
cana-1633	8	12	.	.	PUNCT
cana-1633	9	1	this	this	PRON
cana-1633	9	2	lets	let	VERB
cana-1633	9	3	you	you	PRON
cana-1633	9	4	are	be	AUX
cana-1633	9	5	doing	do	VERB
cana-1633	9	6	precise	precise	ADJ
cana-1633	9	7	recurrence	recurrence	NOUN
cana-1633	9	8	space	space	NOUN
cana-1633	9	9	investigation	investigation	NOUN
cana-1633	9	10	and	and	CCONJ
cana-1633	9	11	sifting	sifting	NOUN
cana-1633	9	12	,	,	PUNCT
cana-1633	9	13	which	which	PRON
cana-1633	9	14	is	be	AUX
cana-1633	9	15	exceptionally	exceptionally	ADV
cana-1633	9	16	imperative	imperative	ADJ
cana-1633	9	17	for	for	ADP
cana-1633	9	18	assignments	assignment	NOUN
cana-1633	9	19	that	that	PRON
cana-1633	9	20	require	require	VERB
cana-1633	9	21	high	high	ADJ
cana-1633	9	22	-	-	PUNCT
cana-1633	9	23	frequency	frequency	NOUN
cana-1633	9	24	exactness	exactness	NOUN
cana-1633	9	25	.	.	PUNCT
cana-1633	10	1	wavelet	wavelet	NOUN
cana-1633	10	2	changes	change	NOUN
cana-1633	10	3	permit	permit	VERB
cana-1633	10	4	for	for	ADP
cana-1633	10	5	multi	multi	ADJ
cana-1633	10	6	-	-	ADJ
cana-1633	10	7	resolution	resolution	ADJ
cana-1633	10	8	investigation	investigation	NOUN
cana-1633	10	9	,	,	PUNCT
cana-1633	10	10	which	which	PRON
cana-1633	10	11	makes	make	VERB
cana-1633	10	12	it	it	PRON
cana-1633	10	13	simpler	simple	ADJ
cana-1633	10	14	to	to	PART
cana-1633	10	15	see	see	VERB
cana-1633	10	16	at	at	ADP
cana-1633	10	17	signals	signal	NOUN
cana-1633	10	18	at	at	ADP
cana-1633	10	19	diverse	diverse	ADJ
cana-1633	10	20	sizes	size	NOUN
cana-1633	10	21	and	and	CCONJ
cana-1633	10	22	superior	superior	ADJ
cana-1633	10	23	distinguish	distinguish	ADJ
cana-1633	10	24	characteristics	characteristic	NOUN
cana-1633	10	25	that	that	PRON
cana-1633	10	26	alter	alter	VERB
cana-1633	10	27	or	or	CCONJ
cana-1633	10	28	do	do	AUX
cana-1633	10	29	not	not	PART
cana-1633	10	30	remain	remain	VERB
cana-1633	10	31	the	the	DET
cana-1633	10	32	same	same	ADJ
cana-1633	10	33	.	.	PUNCT
cana-1633	11	1	versatile	versatile	ADJ
cana-1633	11	2	sifting	sifting	NOUN
cana-1633	11	3	,	,	PUNCT
cana-1633	11	4	expectation	expectation	NOUN
cana-1633	11	5	hypothesis	hypothesis	NOUN
cana-1633	11	6	,	,	PUNCT
cana-1633	11	7	and	and	CCONJ
cana-1633	11	8	other	other	ADJ
cana-1633	11	9	measurable	measurable	ADJ
cana-1633	11	10	strategies	strategy	NOUN
cana-1633	11	11	are	be	AUX
cana-1633	11	12	talked	talk	VERB
cana-1633	11	13	approximately	approximately	ADV
cana-1633	11	14	in	in	ADP
cana-1633	11	15	terms	term	NOUN
cana-1633	11	16	of	of	ADP
cana-1633	11	17	how	how	SCONJ
cana-1633	11	18	they	they	PRON
cana-1633	11	19	offer	offer	VERB
cana-1633	11	20	assistance	assistance	NOUN
cana-1633	11	21	decrease	decrease	NOUN
cana-1633	11	22	commotion	commotion	NOUN
cana-1633	11	23	and	and	CCONJ
cana-1633	11	24	progress	progress	NOUN
cana-1633	11	25	signals	signal	NOUN
cana-1633	11	26	in	in	ADP
cana-1633	11	27	changing	change	VERB
cana-1633	11	28	settings	setting	NOUN
cana-1633	11	29	.	.	PUNCT
cana-1633	12	1	utilizing	utilize	VERB
cana-1633	12	2	these	these	DET
cana-1633	12	3	logical	logical	ADJ
cana-1633	12	4	strategies	strategy	NOUN
cana-1633	12	5	together	together	ADV
cana-1633	12	6	not	not	PART
cana-1633	12	7	as	as	SCONJ
cana-1633	12	8	it	it	PRON
cana-1633	12	9	were	be	AUX
cana-1633	12	10	makes	make	VERB
cana-1633	12	11	electronic	electronic	ADJ
cana-1633	12	12	frameworks	framework	NOUN
cana-1633	12	13	work	work	VERB
cana-1633	12	14	way	way	ADV
cana-1633	12	15	better	well	ADV
cana-1633	12	16	and	and	CCONJ
cana-1633	12	17	be	be	AUX
cana-1633	12	18	more	more	ADV
cana-1633	12	19	solid	solid	ADJ
cana-1633	12	20	,	,	PUNCT
cana-1633	12	21	but	but	CCONJ
cana-1633	12	22	it	it	PRON
cana-1633	12	23	too	too	ADV
cana-1633	12	24	opens	open	VERB
cana-1633	12	25	the	the	DET
cana-1633	12	26	entryway	entryway	NOUN
cana-1633	12	27	to	to	ADP
cana-1633	12	28	modern	modern	ADJ
cana-1633	12	29	employments	employment	NOUN
cana-1633	12	30	in	in	ADP
cana-1633	12	31	ranges	range	NOUN
cana-1633	12	32	like	like	ADP
cana-1633	12	33	machine	machine	NOUN
cana-1633	12	34	learning	learning	NOUN
cana-1633	12	35	and	and	CCONJ
cana-1633	12	36	information	information	NOUN
cana-1633	12	37	analytics	analytic	NOUN
cana-1633	12	38	.	.	PUNCT
cana-1633	13	1	this	this	DET
cana-1633	13	2	exposition	exposition	NOUN
cana-1633	13	3	gives	give	VERB
cana-1633	13	4	an	an	DET
cana-1633	13	5	in	in	ADP
cana-1633	13	6	-	-	PUNCT
cana-1633	13	7	depth	depth	NOUN
cana-1633	13	8	see	see	NOUN
cana-1633	13	9	at	at	ADP
cana-1633	13	10	these	these	DET
cana-1633	13	11	numerical	numerical	ADJ
cana-1633	13	12	strategies	strategy	NOUN
cana-1633	13	13	,	,	PUNCT
cana-1633	13	14	centering	center	VERB
cana-1633	13	15	on	on	ADP
cana-1633	13	16	their	their	PRON
cana-1633	13	17	hypothetical	hypothetical	ADJ
cana-1633	13	18	establishments	establishment	NOUN
cana-1633	13	19	,	,	PUNCT
cana-1633	13	20	how	how	SCONJ
cana-1633	13	21	they	they	PRON
cana-1633	13	22	are	be	AUX
cana-1633	13	23	utilized	utilize	VERB
cana-1633	13	24	in	in	ADP
cana-1633	13	25	genuine	genuine	ADJ
cana-1633	13	26	life	life	NOUN
cana-1633	13	27	,	,	PUNCT
cana-1633	13	28	and	and	CCONJ
cana-1633	13	29	how	how	SCONJ
cana-1633	13	30	they	they	PRON
cana-1633	13	31	have	have	AUX
cana-1633	13	32	changed	change	VERB
cana-1633	13	33	cutting	cut	VERB
cana-1633	13	34	edge	edge	NOUN
cana-1633	13	35	flag	flag	NOUN
cana-1633	13	36	preparing	preparing	NOUN
cana-1633	13	37	.	.	PUNCT
cana-1633	14	1	this	this	DET
cana-1633	14	2	paper	paper	NOUN
cana-1633	14	3	looks	look	VERB
cana-1633	14	4	at	at	ADP
cana-1633	14	5	these	these	DET
cana-1633	14	6	strategies	strategy	NOUN
cana-1633	14	7	in	in	ADP
cana-1633	14	8	awesome	awesome	ADJ
cana-1633	14	9	detail	detail	NOUN
cana-1633	14	10	to	to	PART
cana-1633	14	11	appear	appear	VERB
cana-1633	14	12	how	how	SCONJ
cana-1633	14	13	vital	vital	ADJ
cana-1633	14	14	unused	unused	ADJ
cana-1633	14	15	scientific	scientific	ADJ
cana-1633	14	16	thoughts	thought	NOUN
cana-1633	14	17	are	be	AUX
cana-1633	14	18	for	for	ADP
cana-1633	14	19	progressing	progress	VERB
cana-1633	14	20	electronic	electronic	ADJ
cana-1633	14	21	flag	flag	NOUN
cana-1633	14	22	preparing	prepare	VERB
cana-1633	14	23	advances	advance	NOUN
cana-1633	14	24	and	and	CCONJ
cana-1633	14	25	making	make	VERB
cana-1633	14	26	a	a	DET
cana-1633	14	27	difference	difference	NOUN
cana-1633	14	28	to	to	PART
cana-1633	14	29	create	create	VERB
cana-1633	14	30	electronic	electronic	ADJ
cana-1633	14	31	frameworks	framework	NOUN
cana-1633	14	32	that	that	PRON
cana-1633	14	33	are	be	AUX
cana-1633	14	34	more	more	ADV
cana-1633	14	35	brilliant	brilliant	ADJ
cana-1633	14	36	and	and	CCONJ
cana-1633	14	37	work	work	VERB
cana-1633	14	38	superior	superior	ADJ
cana-1633	14	39	.	.	PUNCT
cana-1633	15	1	keywords	keyword	NOUN
cana-1633	15	2	:	:	PUNCT
cana-1633	15	3	signal	signal	NOUN
cana-1633	15	4	processing	processing	NOUN
cana-1633	15	5	,	,	PUNCT
cana-1633	15	6	fourier	fourier	NOUN
cana-1633	15	7	transforms	transform	VERB
cana-1633	15	8	,	,	PUNCT
cana-1633	15	9	wavelet	wavelet	NOUN
cana-1633	15	10	transforms	transform	VERB
cana-1633	15	11	,	,	PUNCT
cana-1633	15	12	statistical	statistical	ADJ
cana-1633	15	13	signal	signal	NOUN
cana-1633	15	14	processing	processing	NOUN
cana-1633	15	15	,	,	PUNCT
cana-1633	15	16	adaptive	adaptive	ADJ
cana-1633	15	17	filtering	filtering	NOUN
cana-1633	15	18	,	,	PUNCT
cana-1633	15	19	noise	noise	NOUN
cana-1633	15	20	reduction	reduction	NOUN
cana-1633	15	21	,	,	PUNCT
cana-1633	15	22	frequency	frequency	NOUN
cana-1633	15	23	domain	domain	NOUN
cana-1633	15	24	analysis	analysis	NOUN
cana-1633	15	25	,	,	PUNCT
cana-1633	15	26	multiresolution	multiresolution	NOUN
cana-1633	15	27	analysis	analysis	NOUN
cana-1633	15	28	,	,	PUNCT
cana-1633	15	29	estimation	estimation	NOUN
cana-1633	15	30	theory	theory	NOUN
cana-1633	15	31	1	1	NUM
cana-1633	15	32	.	.	PUNCT
cana-1633	15	33	introduction	introduction	NOUN
cana-1633	15	34	in	in	ADP
cana-1633	15	35	current	current	ADJ
cana-1633	15	36	hardware	hardware	NOUN
cana-1633	15	37	,	,	PUNCT
cana-1633	15	38	flag	flag	NOUN
cana-1633	15	39	preparing	prepare	VERB
cana-1633	15	40	is	be	AUX
cana-1633	15	41	one	one	NUM
cana-1633	15	42	of	of	ADP
cana-1633	15	43	the	the	DET
cana-1633	15	44	foremost	foremost	ADJ
cana-1633	15	45	critical	critical	ADJ
cana-1633	15	46	areas	area	NOUN
cana-1633	15	47	.	.	PUNCT
cana-1633	16	1	it	it	PRON
cana-1633	16	2	is	be	AUX
cana-1633	16	3	the	the	DET
cana-1633	16	4	premise	premise	NOUN
cana-1633	16	5	for	for	ADP
cana-1633	16	6	numerous	numerous	ADJ
cana-1633	16	7	innovation	innovation	NOUN
cana-1633	16	8	progresses	progress	NOUN
cana-1633	16	9	,	,	PUNCT
cana-1633	16	10	such	such	ADJ
cana-1633	16	11	as	as	ADP
cana-1633	16	12	communication	communication	NOUN
cana-1633	16	13	frameworks	framework	NOUN
cana-1633	16	14	,	,	PUNCT
cana-1633	16	15	sound	sound	NOUN
cana-1633	16	16	preparing	prepare	VERB
cana-1633	16	17	,	,	PUNCT
cana-1633	16	18	restorative	restorative	ADJ
cana-1633	16	19	pictures	picture	NOUN
cana-1633	16	20	,	,	PUNCT
cana-1633	16	21	and	and	CCONJ
cana-1633	16	22	radar	radar	NOUN
cana-1633	16	23	frameworks	framework	NOUN
cana-1633	16	24	.	.	PUNCT
cana-1633	17	1	at	at	ADP
cana-1633	17	2	its	its	PRON
cana-1633	17	3	heart	heart	NOUN
cana-1633	17	4	,	,	PUNCT
cana-1633	17	5	flag	flag	NOUN
cana-1633	17	6	preparing	prepare	VERB
cana-1633	17	7	is	be	AUX
cana-1633	17	8	the	the	DET
cana-1633	17	9	think	think	NOUN
cana-1633	17	10	about	about	ADP
cana-1633	17	11	,	,	PUNCT
cana-1633	17	12	control	control	NOUN
cana-1633	17	13	,	,	PUNCT
cana-1633	17	14	and	and	CCONJ
cana-1633	17	15	understanding	understanding	NOUN
cana-1633	17	16	of	of	ADP
cana-1633	17	17	signals	signal	NOUN
cana-1633	17	18	to	to	PART
cana-1633	17	19	form	form	VERB
cana-1633	17	20	them	they	PRON
cana-1633	17	21	better	well	ADV
cana-1633	17	22	,	,	PUNCT
cana-1633	17	23	extricate	extricate	VERB
cana-1633	17	24	valuable	valuable	ADJ
cana-1633	17	25	data	datum	NOUN
cana-1633	17	26	,	,	PUNCT
cana-1633	17	27	and	and	CCONJ
cana-1633	17	28	permit	permit	VERB
cana-1633	17	29	for	for	ADP
cana-1633	17	30	communication	communication	NOUN
cana-1633	17	31	that	that	PRON
cana-1633	17	32	's	be	AUX
cana-1633	17	33	redress	redress	NOUN
cana-1633	17	34	and	and	CCONJ
cana-1633	17	35	dependable	dependable	ADJ
cana-1633	17	36	.	.	PUNCT
cana-1633	18	1	numerical	numerical	ADJ
cana-1633	18	2	strategies	strategy	NOUN
cana-1633	18	3	are	be	AUX
cana-1633	18	4	exceptionally	exceptionally	ADV
cana-1633	18	5	imperative	imperative	ADJ
cana-1633	18	6	in	in	ADP
cana-1633	18	7	this	this	DET
cana-1633	18	8	field	field	NOUN
cana-1633	18	9	because	because	SCONJ
cana-1633	18	10	they	they	PRON
cana-1633	18	11	allow	allow	VERB
cana-1633	18	12	us	we	PRON
cana-1633	18	13	the	the	DET
cana-1633	18	14	hypothetical	hypothetical	ADJ
cana-1633	18	15	system	system	NOUN
cana-1633	18	16	and	and	CCONJ
cana-1633	18	17	computer	computer	NOUN
cana-1633	18	18	devices	device	NOUN
cana-1633	18	19	we	we	PRON
cana-1633	18	20	ought	ought	AUX
cana-1633	18	21	to	to	PART
cana-1633	18	22	do	do	VERB
cana-1633	18	23	complex	complex	ADJ
cana-1633	18	24	flag	flag	NOUN
cana-1633	18	25	preparing	prepare	VERB
cana-1633	18	26	jobs	job	NOUN
cana-1633	18	27	[	[	X
cana-1633	18	28	1	1	NUM
cana-1633	18	29	]	]	PUNCT
cana-1633	18	30	.	.	PUNCT
cana-1633	19	1	the	the	DET
cana-1633	19	2	reason	reason	NOUN
cana-1633	19	3	of	of	ADP
cana-1633	19	4	this	this	DET
cana-1633	19	5	presentation	presentation	NOUN
cana-1633	19	6	is	be	AUX
cana-1633	19	7	to	to	PART
cana-1633	19	8	clarify	clarify	VERB
cana-1633	19	9	why	why	SCONJ
cana-1633	19	10	numerical	numerical	ADJ
cana-1633	19	11	procedures	procedure	NOUN
cana-1633	19	12	are	be	AUX
cana-1633	19	13	vital	vital	ADJ
cana-1633	19	14	for	for	ADP
cana-1633	19	15	moving	move	VERB
cana-1633	19	16	communications	communication	NOUN
cana-1633	19	17	on	on	ADP
cana-1633	19	18	applied	apply	VERB
cana-1633	19	19	nonlinear	nonlinear	ADJ
cana-1633	19	20	analysis	analysis	NOUN
cana-1633	19	21	issn	issn	NOUN
cana-1633	19	22	:	:	PUNCT
cana-1633	19	23	1074	1074	NUM
cana-1633	19	24	-	-	PUNCT
cana-1633	19	25	133x	133x	NUM
cana-1633	19	26	vol	vol	NOUN
cana-1633	19	27	32	32	NUM
cana-1633	19	28	no	no	NOUN
cana-1633	19	29	.	.	NOUN
cana-1633	19	30	1	1	NUM
cana-1633	19	31	(	(	PUNCT
cana-1633	19	32	2025	2025	NUM
cana-1633	19	33	)	)	PUNCT
cana-1633	19	34	227	227	NUM
cana-1633	19	35	https://internationalpubls.com	https://internationalpubls.com	X
cana-1633	19	36	forward	forward	ADJ
cana-1633	19	37	flag	flag	NOUN
cana-1633	19	38	preparing	prepare	VERB
cana-1633	19	39	and	and	CCONJ
cana-1633	19	40	to	to	PART
cana-1633	19	41	list	list	VERB
cana-1633	19	42	the	the	DET
cana-1633	19	43	most	most	ADJ
cana-1633	19	44	strategies	strategy	NOUN
cana-1633	19	45	that	that	PRON
cana-1633	19	46	make	make	VERB
cana-1633	19	47	this	this	DET
cana-1633	19	48	advancement	advancement	NOUN
cana-1633	19	49	conceivable	conceivable	ADJ
cana-1633	19	50	.	.	PUNCT
cana-1633	20	1	signals	signal	NOUN
cana-1633	20	2	can	can	AUX
cana-1633	20	3	be	be	AUX
cana-1633	20	4	studied	study	VERB
cana-1633	20	5	and	and	CCONJ
cana-1633	20	6	changed	change	VERB
cana-1633	20	7	utilizing	utilize	VERB
cana-1633	20	8	arithmetic	arithmetic	ADJ
cana-1633	20	9	as	as	ADP
cana-1633	20	10	their	their	PRON
cana-1633	20	11	dialect	dialect	NOUN
cana-1633	20	12	and	and	CCONJ
cana-1633	20	13	system	system	NOUN
cana-1633	20	14	.	.	PUNCT
cana-1633	21	1	the	the	DET
cana-1633	21	2	fourier	fourier	NOUN
cana-1633	21	3	change	change	NOUN
cana-1633	21	4	breaks	break	VERB
cana-1633	21	5	a	a	DET
cana-1633	21	6	flag	flag	NOUN
cana-1633	21	7	down	down	ADP
cana-1633	21	8	into	into	ADP
cana-1633	21	9	its	its	PRON
cana-1633	21	10	person	person	NOUN
cana-1633	21	11	frequencies	frequency	NOUN
cana-1633	21	12	.	.	PUNCT
cana-1633	22	1	it	it	PRON
cana-1633	22	2	is	be	AUX
cana-1633	22	3	one	one	NUM
cana-1633	22	4	of	of	ADP
cana-1633	22	5	the	the	DET
cana-1633	22	6	foremost	foremost	ADJ
cana-1633	22	7	essential	essential	ADJ
cana-1633	22	8	numerical	numerical	ADJ
cana-1633	22	9	apparatuses	apparatus	NOUN
cana-1633	22	10	utilized	utilize	VERB
cana-1633	22	11	in	in	ADP
cana-1633	22	12	flag	flag	NOUN
cana-1633	22	13	handling	handling	NOUN
cana-1633	22	14	.	.	PUNCT
cana-1633	23	1	this	this	DET
cana-1633	23	2	alter	alter	NOUN
cana-1633	23	3	is	be	AUX
cana-1633	23	4	exceptionally	exceptionally	ADV
cana-1633	23	5	critical	critical	ADJ
cana-1633	23	6	for	for	ADP
cana-1633	23	7	employments	employment	NOUN
cana-1633	23	8	like	like	ADP
cana-1633	23	9	sifting	sift	VERB
cana-1633	23	10	,	,	PUNCT
cana-1633	23	11	which	which	PRON
cana-1633	23	12	isolates	isolate	VERB
cana-1633	23	13	or	or	CCONJ
cana-1633	23	14	gets	get	AUX
cana-1633	23	15	freed	free	VERB
cana-1633	23	16	of	of	ADP
cana-1633	23	17	certain	certain	ADJ
cana-1633	23	18	recurrence	recurrence	NOUN
cana-1633	23	19	components	component	NOUN
cana-1633	23	20	to	to	PART
cana-1633	23	21	create	create	VERB
cana-1633	23	22	the	the	DET
cana-1633	23	23	data	datum	NOUN
cana-1633	23	24	clearer	clear	ADJ
cana-1633	23	25	.	.	PUNCT
cana-1633	24	1	since	since	SCONJ
cana-1633	24	2	the	the	DET
cana-1633	24	3	fourier	fourier	NOUN
cana-1633	24	4	change	change	NOUN
cana-1633	24	5	can	can	AUX
cana-1633	24	6	alter	alter	VERB
cana-1633	24	7	information	information	NOUN
cana-1633	24	8	from	from	ADP
cana-1633	24	9	the	the	DET
cana-1633	24	10	time	time	NOUN
cana-1633	24	11	space	space	NOUN
cana-1633	24	12	to	to	ADP
cana-1633	24	13	the	the	DET
cana-1633	24	14	recurrence	recurrence	NOUN
cana-1633	24	15	space	space	NOUN
cana-1633	24	16	,	,	PUNCT
cana-1633	24	17	it	it	PRON
cana-1633	24	18	makes	make	VERB
cana-1633	24	19	it	it	PRON
cana-1633	24	20	conceivable	conceivable	ADJ
cana-1633	24	21	to	to	PART
cana-1633	24	22	control	control	VERB
cana-1633	24	23	and	and	CCONJ
cana-1633	24	24	analyze	analyze	VERB
cana-1633	24	25	them	they	PRON
cana-1633	24	26	with	with	ADP
cana-1633	24	27	incredible	incredible	ADJ
cana-1633	24	28	exactness	exactness	NOUN
cana-1633	24	29	.	.	PUNCT
cana-1633	25	1	this	this	PRON
cana-1633	25	2	makes	make	VERB
cana-1633	25	3	it	it	PRON
cana-1633	25	4	valuable	valuable	ADJ
cana-1633	25	5	for	for	ADP
cana-1633	25	6	assignments	assignment	NOUN
cana-1633	25	7	like	like	ADP
cana-1633	25	8	spectral	spectral	ADJ
cana-1633	25	9	analysis	analysis	NOUN
cana-1633	25	10	and	and	CCONJ
cana-1633	25	11	planning	plan	VERB
cana-1633	25	12	communication	communication	NOUN
cana-1633	25	13	frameworks	framework	NOUN
cana-1633	25	14	[	[	X
cana-1633	25	15	2	2	NUM
cana-1633	25	16	]	]	PUNCT
cana-1633	25	17	.	.	PUNCT
cana-1633	26	1	the	the	DET
cana-1633	26	2	wavelet	wavelet	NOUN
cana-1633	26	3	change	change	NOUN
cana-1633	26	4	is	be	AUX
cana-1633	26	5	another	another	DET
cana-1633	26	6	critical	critical	ADJ
cana-1633	26	7	scientific	scientific	ADJ
cana-1633	26	8	strategy	strategy	NOUN
cana-1633	26	9	.	.	PUNCT
cana-1633	27	1	it	it	PRON
cana-1633	27	2	may	may	AUX
cana-1633	27	3	be	be	AUX
cana-1633	27	4	a	a	DET
cana-1633	27	5	effective	effective	ADJ
cana-1633	27	6	choice	choice	NOUN
cana-1633	27	7	to	to	ADP
cana-1633	27	8	the	the	DET
cana-1633	27	9	fourier	fourier	NOUN
cana-1633	27	10	change	change	NOUN
cana-1633	27	11	since	since	SCONJ
cana-1633	27	12	it	it	PRON
cana-1633	27	13	permits	permit	VERB
cana-1633	27	14	for	for	ADP
cana-1633	27	15	multi	multi	ADJ
cana-1633	27	16	-	-	ADJ
cana-1633	27	17	resolution	resolution	ADJ
cana-1633	27	18	analysis	analysis	NOUN
cana-1633	27	19	.	.	PUNCT
cana-1633	28	1	the	the	DET
cana-1633	28	2	fourier	fourier	NOUN
cana-1633	28	3	change	change	NOUN
cana-1633	28	4	as	as	SCONJ
cana-1633	28	5	it	it	PRON
cana-1633	28	6	were	be	AUX
cana-1633	28	7	appears	appear	VERB
cana-1633	28	8	the	the	DET
cana-1633	28	9	recurrence	recurrence	NOUN
cana-1633	28	10	as	as	ADP
cana-1633	28	11	a	a	DET
cana-1633	28	12	entire	entire	NOUN
cana-1633	28	13	.	.	PUNCT
cana-1633	29	1	the	the	DET
cana-1633	29	2	wavelet	wavelet	NOUN
cana-1633	29	3	change	change	NOUN
cana-1633	29	4	,	,	PUNCT
cana-1633	29	5	on	on	ADP
cana-1633	29	6	the	the	DET
cana-1633	29	7	other	other	ADJ
cana-1633	29	8	hand	hand	NOUN
cana-1633	29	9	,	,	PUNCT
cana-1633	29	10	records	record	VERB
cana-1633	29	11	both	both	DET
cana-1633	29	12	time	time	NOUN
cana-1633	29	13	and	and	CCONJ
cana-1633	29	14	recurrence	recurrence	NOUN
cana-1633	29	15	.	.	PUNCT
cana-1633	30	1	this	this	PRON
cana-1633	30	2	makes	make	VERB
cana-1633	30	3	it	it	PRON
cana-1633	30	4	exceptionally	exceptionally	ADV
cana-1633	30	5	valuable	valuable	ADJ
cana-1633	30	6	for	for	ADP
cana-1633	30	7	examining	examine	VERB
cana-1633	30	8	designs	design	NOUN
cana-1633	30	9	that	that	PRON
cana-1633	30	10	are	be	AUX
cana-1633	30	11	n't	not	PART
cana-1633	30	12	settled	settle	VERB
cana-1633	30	13	and	and	CCONJ
cana-1633	30	14	have	have	AUX
cana-1633	30	15	changing	change	VERB
cana-1633	30	16	frequencies	frequency	NOUN
cana-1633	30	17	.	.	PUNCT
cana-1633	31	1	in	in	ADP
cana-1633	31	2	circumstances	circumstance	NOUN
cana-1633	31	3	where	where	SCONJ
cana-1633	31	4	signs	sign	NOUN
cana-1633	31	5	alter	alter	VERB
cana-1633	31	6	rapidly	rapidly	ADV
cana-1633	31	7	or	or	CCONJ
cana-1633	31	8	over	over	ADP
cana-1633	31	9	time	time	NOUN
cana-1633	31	10	,	,	PUNCT
cana-1633	31	11	like	like	ADP
cana-1633	31	12	in	in	ADP
cana-1633	31	13	picture	picture	NOUN
cana-1633	31	14	compression	compression	NOUN
cana-1633	31	15	and	and	CCONJ
cana-1633	31	16	clamor	clamor	VERB
cana-1633	31	17	lessening	lessening	NOUN
cana-1633	31	18	,	,	PUNCT
cana-1633	31	19	this	this	DET
cana-1633	31	20	capacity	capacity	NOUN
cana-1633	31	21	is	be	AUX
cana-1633	31	22	exceptionally	exceptionally	ADV
cana-1633	31	23	critical	critical	ADJ
cana-1633	31	24	.	.	PUNCT
cana-1633	32	1	the	the	DET
cana-1633	32	2	method	method	NOUN
cana-1633	32	3	of	of	ADP
cana-1633	32	4	factual	factual	ADJ
cana-1633	32	5	flag	flag	NOUN
cana-1633	32	6	handling	handling	NOUN
cana-1633	32	7	is	be	AUX
cana-1633	32	8	indeed	indeed	ADV
cana-1633	32	9	way	way	ADV
cana-1633	32	10	better	well	ADJ
cana-1633	32	11	since	since	SCONJ
cana-1633	32	12	it	it	PRON
cana-1633	32	13	employments	employment	NOUN
cana-1633	32	14	probabilistic	probabilistic	ADJ
cana-1633	32	15	and	and	CCONJ
cana-1633	32	16	factual	factual	ADJ
cana-1633	32	17	strategies	strategy	NOUN
cana-1633	32	18	to	to	PART
cana-1633	32	19	bargain	bargain	VERB
cana-1633	32	20	with	with	ADP
cana-1633	32	21	issues	issue	NOUN
cana-1633	32	22	like	like	ADP
cana-1633	32	23	clamor	clamor	NOUN
cana-1633	32	24	and	and	CCONJ
cana-1633	32	25	obstructions	obstruction	NOUN
cana-1633	32	26	.	.	PUNCT
cana-1633	33	1	versatile	versatile	ADV
cana-1633	33	2	sifting	sifting	NOUN
cana-1633	33	3	and	and	CCONJ
cana-1633	33	4	estimation	estimation	NOUN
cana-1633	33	5	hypothesis	hypothesis	NOUN
cana-1633	33	6	are	be	AUX
cana-1633	33	7	critical	critical	ADJ
cana-1633	33	8	instruments	instrument	NOUN
cana-1633	33	9	for	for	ADP
cana-1633	33	10	moving	move	VERB
cana-1633	33	11	forward	forward	ADV
cana-1633	33	12	flag	flag	NOUN
cana-1633	33	13	quality	quality	NOUN
cana-1633	33	14	and	and	CCONJ
cana-1633	33	15	getting	get	VERB
cana-1633	33	16	valuable	valuable	ADJ
cana-1633	33	17	data	datum	NOUN
cana-1633	33	18	from	from	ADP
cana-1633	33	19	boisterous	boisterous	ADJ
cana-1633	33	20	information	information	NOUN
cana-1633	33	21	.	.	PUNCT
cana-1633	34	1	versatile	versatile	ADJ
cana-1633	34	2	sifting	sift	VERB
cana-1633	34	3	changes	change	NOUN
cana-1633	34	4	channel	channel	NOUN
cana-1633	34	5	parameters	parameter	NOUN
cana-1633	34	6	based	base	VERB
cana-1633	34	7	on	on	ADP
cana-1633	34	8	the	the	DET
cana-1633	34	9	characteristics	characteristic	NOUN
cana-1633	34	10	of	of	ADP
cana-1633	34	11	the	the	DET
cana-1633	34	12	approaching	approach	VERB
cana-1633	34	13	flag	flag	NOUN
cana-1633	34	14	,	,	PUNCT
cana-1633	34	15	and	and	CCONJ
cana-1633	34	16	estimation	estimation	NOUN
cana-1633	34	17	hypothesis	hypothesis	NOUN
cana-1633	34	18	gives	give	VERB
cana-1633	34	19	systems	system	NOUN
cana-1633	34	20	for	for	ADP
cana-1633	34	21	flag	flag	NOUN
cana-1633	34	22	recreation	recreation	NOUN
cana-1633	34	23	and	and	CCONJ
cana-1633	34	24	expectation	expectation	NOUN
cana-1633	34	25	[	[	X
cana-1633	34	26	3	3	NUM
cana-1633	34	27	]	]	PUNCT
cana-1633	34	28	.	.	PUNCT
cana-1633	35	1	these	these	DET
cana-1633	35	2	methods	method	NOUN
cana-1633	35	3	use	use	VERB
cana-1633	35	4	mathematical	mathematical	ADJ
cana-1633	35	5	ideas	idea	NOUN
cana-1633	35	6	to	to	PART
cana-1633	35	7	induce	induce	VERB
cana-1633	35	8	the	the	DET
cana-1633	35	9	finest	fine	ADJ
cana-1633	35	10	comes	come	VERB
cana-1633	35	11	about	about	ADV
cana-1633	35	12	in	in	ADP
cana-1633	35	13	genuine	genuine	ADJ
cana-1633	35	14	life	life	NOUN
cana-1633	35	15	,	,	PUNCT
cana-1633	35	16	where	where	SCONJ
cana-1633	35	17	messages	message	NOUN
cana-1633	35	18	are	be	AUX
cana-1633	35	19	regularly	regularly	ADV
cana-1633	35	20	messed	mess	VERB
cana-1633	35	21	up	up	ADP
cana-1633	35	22	or	or	CCONJ
cana-1633	35	23	compromised	compromise	VERB
cana-1633	35	24	.	.	PUNCT
cana-1633	36	1	including	include	VERB
cana-1633	36	2	these	these	DET
cana-1633	36	3	factual	factual	ADJ
cana-1633	36	4	strategies	strategy	NOUN
cana-1633	36	5	to	to	PART
cana-1633	36	6	flag	flag	VERB
cana-1633	36	7	handling	handling	NOUN
cana-1633	36	8	not	not	PART
cana-1633	36	9	as	as	SCONJ
cana-1633	36	10	it	it	PRON
cana-1633	36	11	were	be	AUX
cana-1633	36	12	makes	make	VERB
cana-1633	36	13	electronic	electronic	ADJ
cana-1633	36	14	frameworks	framework	NOUN
cana-1633	36	15	more	more	ADV
cana-1633	36	16	exact	exact	ADJ
cana-1633	36	17	and	and	CCONJ
cana-1633	36	18	effective	effective	ADJ
cana-1633	36	19	,	,	PUNCT
cana-1633	36	20	but	but	CCONJ
cana-1633	36	21	it	it	PRON
cana-1633	36	22	moreover	moreover	ADV
cana-1633	36	23	opens	open	VERB
cana-1633	36	24	the	the	DET
cana-1633	36	25	entryway	entryway	NOUN
cana-1633	36	26	to	to	ADP
cana-1633	36	27	modern	modern	ADJ
cana-1633	36	28	employments	employment	NOUN
cana-1633	36	29	in	in	ADP
cana-1633	36	30	regions	region	NOUN
cana-1633	36	31	that	that	PRON
cana-1633	36	32	are	be	AUX
cana-1633	36	33	fair	fair	ADJ
cana-1633	36	34	beginning	begin	VERB
cana-1633	36	35	to	to	PART
cana-1633	36	36	be	be	AUX
cana-1633	36	37	considered	consider	VERB
cana-1633	36	38	[	[	PUNCT
cana-1633	36	39	4	4	NUM
cana-1633	36	40	]	]	PUNCT
cana-1633	36	41	.	.	PUNCT
cana-1633	37	1	for	for	ADP
cana-1633	37	2	illustration	illustration	NOUN
cana-1633	37	3	,	,	PUNCT
cana-1633	37	4	the	the	DET
cana-1633	37	5	combination	combination	NOUN
cana-1633	37	6	of	of	ADP
cana-1633	37	7	flag	flag	NOUN
cana-1633	37	8	handling	handling	NOUN
cana-1633	37	9	and	and	CCONJ
cana-1633	37	10	machine	machine	NOUN
cana-1633	37	11	learning	learning	NOUN
cana-1633	37	12	has	have	AUX
cana-1633	37	13	made	make	VERB
cana-1633	37	14	it	it	PRON
cana-1633	37	15	conceivable	conceivable	ADJ
cana-1633	37	16	for	for	ADP
cana-1633	37	17	more	more	ADV
cana-1633	37	18	progressed	progress	VERB
cana-1633	37	19	information	information	NOUN
cana-1633	37	20	investigation	investigation	NOUN
cana-1633	37	21	and	and	CCONJ
cana-1633	37	22	design	design	VERB
cana-1633	37	23	recognizable	recognizable	ADJ
cana-1633	37	24	proof	proof	NOUN
cana-1633	37	25	,	,	PUNCT
cana-1633	37	26	which	which	PRON
cana-1633	37	27	makes	make	VERB
cana-1633	37	28	electronic	electronic	ADJ
cana-1633	37	29	frameworks	framework	NOUN
cana-1633	37	30	more	more	ADV
cana-1633	37	31	astute	astute	ADJ
cana-1633	37	32	and	and	CCONJ
cana-1633	37	33	more	more	ADV
cana-1633	37	34	adaptable	adaptable	ADJ
cana-1633	37	35	.	.	PUNCT
cana-1633	38	1	flag	flag	NOUN
cana-1633	38	2	preparing	prepare	VERB
cana-1633	38	3	keeps	keep	VERB
cana-1633	38	4	getting	get	VERB
cana-1633	38	5	way	way	ADV
cana-1633	38	6	better	well	ADJ
cana-1633	38	7	since	since	SCONJ
cana-1633	38	8	scientific	scientific	ADJ
cana-1633	38	9	strategies	strategy	NOUN
cana-1633	38	10	are	be	AUX
cana-1633	38	11	continuously	continuously	ADV
cana-1633	38	12	changing	change	VERB
cana-1633	38	13	.	.	PUNCT
cana-1633	39	1	this	this	PRON
cana-1633	39	2	makes	make	VERB
cana-1633	39	3	advances	advance	NOUN
cana-1633	39	4	more	more	ADV
cana-1633	39	5	brilliant	brilliant	ADJ
cana-1633	39	6	and	and	CCONJ
cana-1633	39	7	more	more	ADV
cana-1633	39	8	valuable	valuable	ADJ
cana-1633	39	9	.	.	PUNCT
cana-1633	40	1	scientific	scientific	ADJ
cana-1633	40	2	strategies	strategy	NOUN
cana-1633	40	3	are	be	AUX
cana-1633	40	4	the	the	DET
cana-1633	40	5	building	building	NOUN
cana-1633	40	6	squares	square	NOUN
cana-1633	40	7	of	of	ADP
cana-1633	40	8	flag	flag	NOUN
cana-1633	40	9	handling	handling	NOUN
cana-1633	40	10	in	in	ADP
cana-1633	40	11	hardware	hardware	NOUN
cana-1633	40	12	.	.	PUNCT
cana-1633	41	1	they	they	PRON
cana-1633	41	2	grant	grant	VERB
cana-1633	41	3	us	we	PRON
cana-1633	41	4	the	the	DET
cana-1633	41	5	apparatuses	apparatus	NOUN
cana-1633	41	6	and	and	CCONJ
cana-1633	41	7	models	model	NOUN
cana-1633	41	8	we	we	PRON
cana-1633	41	9	got	get	VERB
cana-1633	41	10	to	to	PART
cana-1633	41	11	analyze	analyze	VERB
cana-1633	41	12	,	,	PUNCT
cana-1633	41	13	progress	progress	NOUN
cana-1633	41	14	,	,	PUNCT
cana-1633	41	15	and	and	CCONJ
cana-1633	41	16	get	get	VERB
cana-1633	41	17	it	it	PRON
cana-1633	41	18	information	information	NOUN
cana-1633	41	19	[	[	X
cana-1633	41	20	5	5	NUM
cana-1633	41	21	]	]	PUNCT
cana-1633	41	22	.	.	PUNCT
cana-1633	42	1	measurable	measurable	ADJ
cana-1633	42	2	procedures	procedure	NOUN
cana-1633	42	3	like	like	ADP
cana-1633	42	4	versatile	versatile	ADJ
cana-1633	42	5	sifting	sifting	NOUN
cana-1633	42	6	and	and	CCONJ
cana-1633	42	7	estimation	estimation	NOUN
cana-1633	42	8	hypothesis	hypothesis	NOUN
cana-1633	42	9	,	,	PUNCT
cana-1633	42	10	at	at	ADP
cana-1633	42	11	the	the	DET
cana-1633	42	12	side	side	NOUN
cana-1633	42	13	the	the	DET
cana-1633	42	14	fourier	fourier	NOUN
cana-1633	42	15	and	and	CCONJ
cana-1633	42	16	wavelet	wavelet	NOUN
cana-1633	42	17	changes	change	NOUN
cana-1633	42	18	,	,	PUNCT
cana-1633	42	19	are	be	AUX
cana-1633	42	20	exceptionally	exceptionally	ADV
cana-1633	42	21	imperative	imperative	ADJ
cana-1633	42	22	for	for	ADP
cana-1633	42	23	tackling	tackle	VERB
cana-1633	42	24	issues	issue	NOUN
cana-1633	42	25	in	in	ADP
cana-1633	42	26	flag	flag	NOUN
cana-1633	42	27	handling	handling	NOUN
cana-1633	42	28	and	and	CCONJ
cana-1633	42	29	making	make	VERB
cana-1633	42	30	it	it	PRON
cana-1633	42	31	valuable	valuable	ADJ
cana-1633	42	32	in	in	ADP
cana-1633	42	33	more	more	ADJ
cana-1633	42	34	regions	region	NOUN
cana-1633	42	35	.	.	PUNCT
cana-1633	43	1	as	as	SCONJ
cana-1633	43	2	innovation	innovation	NOUN
cana-1633	43	3	moves	move	VERB
cana-1633	43	4	forward	forward	ADV
cana-1633	43	5	,	,	PUNCT
cana-1633	43	6	there	there	PRON
cana-1633	43	7	's	be	VERB
cana-1633	43	8	no	no	DET
cana-1633	43	9	question	question	NOUN
cana-1633	43	10	that	that	SCONJ
cana-1633	43	11	the	the	DET
cana-1633	43	12	way	way	NOUN
cana-1633	43	13	math	math	NOUN
cana-1633	43	14	and	and	CCONJ
cana-1633	43	15	flag	flag	NOUN
cana-1633	43	16	handling	handling	NOUN
cana-1633	43	17	work	work	NOUN
cana-1633	43	18	together	together	ADV
cana-1633	43	19	will	will	AUX
cana-1633	43	20	alter	alter	VERB
cana-1633	43	21	,	,	PUNCT
cana-1633	43	22	driving	drive	VERB
cana-1633	43	23	to	to	ADP
cana-1633	43	24	more	more	ADJ
cana-1633	43	25	thoughts	thought	NOUN
cana-1633	43	26	and	and	CCONJ
cana-1633	43	27	superior	superior	ADJ
cana-1633	43	28	electronic	electronic	ADJ
cana-1633	43	29	frameworks	framework	NOUN
cana-1633	43	30	.	.	PUNCT
cana-1633	44	1	2	2	X
cana-1633	44	2	.	.	X
cana-1633	44	3	related	relate	VERB
cana-1633	44	4	work	work	NOUN
cana-1633	44	5	the	the	DET
cana-1633	44	6	table	table	NOUN
cana-1633	44	7	(	(	PUNCT
cana-1633	44	8	1	1	X
cana-1633	44	9	)	)	PUNCT
cana-1633	44	10	gives	give	VERB
cana-1633	44	11	a	a	DET
cana-1633	44	12	full	full	ADJ
cana-1633	44	13	picture	picture	NOUN
cana-1633	44	14	of	of	ADP
cana-1633	44	15	the	the	DET
cana-1633	44	16	different	different	ADJ
cana-1633	44	17	mathematical	mathematical	ADJ
cana-1633	44	18	techniques	technique	NOUN
cana-1633	44	19	that	that	PRON
cana-1633	44	20	are	be	AUX
cana-1633	44	21	used	use	VERB
cana-1633	44	22	to	to	PART
cana-1633	44	23	improve	improve	VERB
cana-1633	44	24	signal	signal	ADJ
cana-1633	44	25	processing	processing	NOUN
cana-1633	44	26	in	in	ADP
cana-1633	44	27	electronics	electronic	NOUN
cana-1633	44	28	.	.	PUNCT
cana-1633	45	1	it	it	PRON
cana-1633	45	2	focuses	focus	VERB
cana-1633	45	3	on	on	ADP
cana-1633	45	4	their	their	PRON
cana-1633	45	5	scope	scope	NOUN
cana-1633	45	6	,	,	PUNCT
cana-1633	45	7	methods	method	NOUN
cana-1633	45	8	,	,	PUNCT
cana-1633	45	9	results	result	NOUN
cana-1633	45	10	,	,	PUNCT
cana-1633	45	11	pros	pro	NOUN
cana-1633	45	12	and	and	CCONJ
cana-1633	45	13	cons	con	NOUN
cana-1633	45	14	.	.	PUNCT
cana-1633	46	1	and	and	CCONJ
cana-1633	46	2	it	it	PRON
cana-1633	46	3	shows	show	VERB
cana-1633	46	4	how	how	SCONJ
cana-1633	46	5	important	important	ADJ
cana-1633	46	6	these	these	DET
cana-1633	46	7	methods	method	NOUN
cana-1633	46	8	are	be	AUX
cana-1633	46	9	for	for	ADP
cana-1633	46	10	studying	study	VERB
cana-1633	46	11	,	,	PUNCT
cana-1633	46	12	changing	change	VERB
cana-1633	46	13	,	,	PUNCT
cana-1633	46	14	and	and	CCONJ
cana-1633	46	15	making	make	VERB
cana-1633	46	16	signals	signal	NOUN
cana-1633	46	17	better	well	ADV
cana-1633	46	18	in	in	ADP
cana-1633	46	19	many	many	ADJ
cana-1633	46	20	areas	area	NOUN
cana-1633	46	21	,	,	PUNCT
cana-1633	46	22	from	from	ADP
cana-1633	46	23	medical	medical	ADJ
cana-1633	46	24	diagnosis	diagnosis	NOUN
cana-1633	46	25	to	to	ADP
cana-1633	46	26	telecommunications	telecommunication	NOUN
cana-1633	46	27	and	and	CCONJ
cana-1633	46	28	more	more	ADJ
cana-1633	46	29	.	.	PUNCT
cana-1633	47	1	communications	communication	NOUN
cana-1633	47	2	on	on	ADP
cana-1633	47	3	applied	apply	VERB
cana-1633	47	4	nonlinear	nonlinear	ADJ
cana-1633	47	5	analysis	analysis	NOUN
cana-1633	47	6	issn	issn	NOUN
cana-1633	47	7	:	:	PUNCT
cana-1633	47	8	1074	1074	NUM
cana-1633	47	9	-	-	PUNCT
cana-1633	47	10	133x	133x	NUM
cana-1633	47	11	vol	vol	NOUN
cana-1633	47	12	32	32	NUM
cana-1633	47	13	no	no	NOUN
cana-1633	47	14	.	.	NOUN
cana-1633	47	15	1	1	NUM
cana-1633	47	16	(	(	PUNCT
cana-1633	47	17	2025	2025	NUM
cana-1633	47	18	)	)	PUNCT
cana-1633	47	19	228	228	NUM
cana-1633	47	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-1633	47	21	table	table	NOUN
cana-1633	47	22	1	1	NUM
cana-1633	47	23	:	:	PUNCT
cana-1633	47	24	summary	summary	NOUN
cana-1633	47	25	of	of	ADP
cana-1633	47	26	related	related	ADJ
cana-1633	47	27	work	work	NOUN
cana-1633	47	28	scope	scope	NOUN
cana-1633	47	29	method	method	NOUN
cana-1633	47	30	findings	finding	NOUN
cana-1633	47	31	advantages	advantage	NOUN
cana-1633	47	32	challenges	challenge	VERB
cana-1633	47	33	analysis	analysis	NOUN
cana-1633	47	34	of	of	ADP
cana-1633	47	35	frequency	frequency	NOUN
cana-1633	47	36	components	component	NOUN
cana-1633	47	37	fourier	fourier	NOUN
cana-1633	47	38	transforms	transform	VERB
cana-1633	47	39	decomposes	decompose	VERB
cana-1633	47	40	signals	signal	NOUN
cana-1633	47	41	into	into	ADP
cana-1633	47	42	constituent	constituent	ADJ
cana-1633	47	43	frequencies	frequency	NOUN
cana-1633	47	44	,	,	PUNCT
cana-1633	47	45	enabling	enable	VERB
cana-1633	47	46	precise	precise	ADJ
cana-1633	47	47	frequency	frequency	NOUN
cana-1633	47	48	domain	domain	NOUN
cana-1633	47	49	analysis	analysis	NOUN
cana-1633	47	50	high	high	ADJ
cana-1633	47	51	accuracy	accuracy	NOUN
cana-1633	47	52	in	in	ADP
cana-1633	47	53	frequency	frequency	NOUN
cana-1633	47	54	analysis	analysis	NOUN
cana-1633	47	55	;	;	PUNCT
cana-1633	47	56	essential	essential	ADJ
cana-1633	47	57	for	for	ADP
cana-1633	47	58	filtering	filter	VERB
cana-1633	47	59	and	and	CCONJ
cana-1633	47	60	spectral	spectral	ADJ
cana-1633	47	61	analysis	analysis	NOUN
cana-1633	47	62	limited	limit	VERB
cana-1633	47	63	ability	ability	NOUN
cana-1633	47	64	to	to	PART
cana-1633	47	65	analyze	analyze	VERB
cana-1633	47	66	nonstationary	nonstationary	ADJ
cana-1633	47	67	signals	signal	NOUN
cana-1633	47	68	multiresolution	multiresolution	NOUN
cana-1633	47	69	signal	signal	VERB
cana-1633	47	70	analysis	analysis	NOUN
cana-1633	47	71	wavelet	wavelet	NOUN
cana-1633	47	72	transforms	transform	VERB
cana-1633	47	73	provides	provide	VERB
cana-1633	47	74	timefrequency	timefrequency	ADJ
cana-1633	47	75	representation	representation	NOUN
cana-1633	47	76	,	,	PUNCT
cana-1633	47	77	capturing	capture	VERB
cana-1633	47	78	transient	transient	ADJ
cana-1633	47	79	and	and	CCONJ
cana-1633	47	80	non	non	ADJ
cana-1633	47	81	-	-	ADJ
cana-1633	47	82	stationary	stationary	ADJ
cana-1633	47	83	features	feature	NOUN
cana-1633	47	84	effective	effective	ADJ
cana-1633	47	85	for	for	ADP
cana-1633	47	86	analyzing	analyze	VERB
cana-1633	47	87	signals	signal	NOUN
cana-1633	47	88	with	with	ADP
cana-1633	47	89	varying	vary	VERB
cana-1633	47	90	frequency	frequency	NOUN
cana-1633	47	91	content	content	NOUN
cana-1633	47	92	;	;	PUNCT
cana-1633	47	93	useful	useful	ADJ
cana-1633	47	94	in	in	ADP
cana-1633	47	95	image	image	NOUN
cana-1633	47	96	compression	compression	NOUN
cana-1633	47	97	computationally	computationally	ADV
cana-1633	47	98	intensive	intensive	ADJ
cana-1633	47	99	;	;	PUNCT
cana-1633	47	100	selection	selection	NOUN
cana-1633	47	101	of	of	ADP
cana-1633	47	102	appropriate	appropriate	ADJ
cana-1633	47	103	wavelets	wavelet	NOUN
cana-1633	47	104	is	be	AUX
cana-1633	47	105	complex	complex	ADJ
cana-1633	47	106	noise	noise	NOUN
cana-1633	47	107	reduction	reduction	NOUN
cana-1633	47	108	and	and	CCONJ
cana-1633	47	109	signal	signal	NOUN
cana-1633	47	110	enhancement	enhancement	NOUN
cana-1633	47	111	statistical	statistical	ADJ
cana-1633	47	112	signal	signal	NOUN
cana-1633	47	113	processing	processing	NOUN
cana-1633	47	114	utilizes	utilize	VERB
cana-1633	47	115	probabilistic	probabilistic	ADJ
cana-1633	47	116	methods	method	NOUN
cana-1633	47	117	to	to	PART
cana-1633	47	118	filter	filter	VERB
cana-1633	47	119	and	and	CCONJ
cana-1633	47	120	enhance	enhance	VERB
cana-1633	47	121	signals	signal	NOUN
cana-1633	47	122	in	in	ADP
cana-1633	47	123	noisy	noisy	ADJ
cana-1633	47	124	environments	environment	NOUN
cana-1633	47	125	improved	improve	VERB
cana-1633	47	126	signal	signal	ADJ
cana-1633	47	127	quality	quality	NOUN
cana-1633	47	128	and	and	CCONJ
cana-1633	47	129	extraction	extraction	NOUN
cana-1633	47	130	of	of	ADP
cana-1633	47	131	meaningful	meaningful	ADJ
cana-1633	47	132	information	information	NOUN
cana-1633	47	133	from	from	ADP
cana-1633	47	134	noisy	noisy	ADJ
cana-1633	47	135	data	datum	NOUN
cana-1633	47	136	requires	require	VERB
cana-1633	47	137	accurate	accurate	ADJ
cana-1633	47	138	statistical	statistical	ADJ
cana-1633	47	139	models	model	NOUN
cana-1633	47	140	;	;	PUNCT
cana-1633	47	141	adaptive	adaptive	ADJ
cana-1633	47	142	techniques	technique	NOUN
cana-1633	47	143	can	can	AUX
cana-1633	47	144	be	be	AUX
cana-1633	47	145	complex	complex	ADJ
cana-1633	47	146	dynamic	dynamic	ADJ
cana-1633	47	147	signal	signal	NOUN
cana-1633	47	148	filtering	filter	VERB
cana-1633	47	149	adaptive	adaptive	ADJ
cana-1633	47	150	filtering	filtering	NOUN
cana-1633	47	151	adjusts	adjust	VERB
cana-1633	47	152	filter	filter	NOUN
cana-1633	47	153	parameters	parameter	NOUN
cana-1633	47	154	dynamically	dynamically	ADV
cana-1633	47	155	based	base	VERB
cana-1633	47	156	on	on	ADP
cana-1633	47	157	incoming	incoming	ADJ
cana-1633	47	158	signal	signal	NOUN
cana-1633	47	159	characteristics	characteristic	NOUN
cana-1633	47	160	enhanced	enhance	VERB
cana-1633	47	161	performance	performance	NOUN
cana-1633	47	162	in	in	ADP
cana-1633	47	163	real	real	ADJ
cana-1633	47	164	-	-	PUNCT
cana-1633	47	165	time	time	NOUN
cana-1633	47	166	applications	application	NOUN
cana-1633	47	167	;	;	PUNCT
cana-1633	47	168	effective	effective	ADJ
cana-1633	47	169	in	in	ADP
cana-1633	47	170	varying	vary	VERB
cana-1633	47	171	environments	environment	NOUN
cana-1633	47	172	high	high	ADJ
cana-1633	47	173	computational	computational	ADJ
cana-1633	47	174	load	load	NOUN
cana-1633	47	175	;	;	PUNCT
cana-1633	47	176	stability	stability	NOUN
cana-1633	47	177	and	and	CCONJ
cana-1633	47	178	convergence	convergence	NOUN
cana-1633	47	179	issues	issue	NOUN
cana-1633	47	180	signal	signal	VERB
cana-1633	47	181	reconstruction	reconstruction	NOUN
cana-1633	47	182	and	and	CCONJ
cana-1633	47	183	prediction	prediction	NOUN
cana-1633	47	184	estimation	estimation	NOUN
cana-1633	47	185	theory	theory	NOUN
cana-1633	47	186	provides	provide	VERB
cana-1633	47	187	frameworks	framework	NOUN
cana-1633	47	188	for	for	ADP
cana-1633	47	189	reconstructing	reconstruct	VERB
cana-1633	47	190	and	and	CCONJ
cana-1633	47	191	predicting	predict	VERB
cana-1633	47	192	signals	signal	NOUN
cana-1633	47	193	based	base	VERB
cana-1633	47	194	on	on	ADP
cana-1633	47	195	observed	observed	ADJ
cana-1633	47	196	data	datum	NOUN
cana-1633	47	197	accurate	accurate	ADJ
cana-1633	47	198	signal	signal	NOUN
cana-1633	47	199	reconstruction	reconstruction	NOUN
cana-1633	47	200	;	;	PUNCT
cana-1633	47	201	effective	effective	ADJ
cana-1633	47	202	in	in	ADP
cana-1633	47	203	applications	application	NOUN
cana-1633	47	204	like	like	ADP
cana-1633	47	205	radar	radar	NOUN
cana-1633	47	206	and	and	CCONJ
cana-1633	47	207	communication	communication	NOUN
cana-1633	47	208	systems	system	NOUN
cana-1633	47	209	requires	require	VERB
cana-1633	47	210	accurate	accurate	ADJ
cana-1633	47	211	prior	prior	ADJ
cana-1633	47	212	information	information	NOUN
cana-1633	47	213	;	;	PUNCT
cana-1633	47	214	computational	computational	ADJ
cana-1633	47	215	complexity	complexity	NOUN
cana-1633	47	216	image	image	NOUN
cana-1633	47	217	and	and	CCONJ
cana-1633	47	218	data	datum	NOUN
cana-1633	47	219	compression	compression	NOUN
cana-1633	47	220	wavelet	wavelet	NOUN
cana-1633	47	221	transformations	transformation	NOUN
cana-1633	47	222	and	and	CCONJ
cana-1633	47	223	statistical	statistical	ADJ
cana-1633	47	224	methods	method	NOUN
cana-1633	47	225	achieves	achieve	VERB
cana-1633	47	226	high	high	ADJ
cana-1633	47	227	compression	compression	NOUN
cana-1633	47	228	ratios	ratio	NOUN
cana-1633	47	229	while	while	SCONJ
cana-1633	47	230	preserving	preserve	VERB
cana-1633	47	231	important	important	ADJ
cana-1633	47	232	signal	signal	NOUN
cana-1633	47	233	features	feature	VERB
cana-1633	47	234	efficient	efficient	ADJ
cana-1633	47	235	data	datum	NOUN
cana-1633	47	236	storage	storage	NOUN
cana-1633	47	237	and	and	CCONJ
cana-1633	47	238	transmission	transmission	NOUN
cana-1633	47	239	;	;	PUNCT
cana-1633	47	240	maintains	maintain	VERB
cana-1633	47	241	signal	signal	ADJ
cana-1633	47	242	quality	quality	NOUN
cana-1633	47	243	lossy	lossy	ADJ
cana-1633	47	244	compression	compression	NOUN
cana-1633	47	245	can	can	AUX
cana-1633	47	246	degrade	degrade	VERB
cana-1633	47	247	signal	signal	ADJ
cana-1633	47	248	quality	quality	NOUN
cana-1633	47	249	if	if	SCONJ
cana-1633	47	250	not	not	PART
cana-1633	47	251	managed	manage	VERB
cana-1633	47	252	properly	properly	ADV
cana-1633	47	253	communications	communication	NOUN
cana-1633	47	254	on	on	ADP
cana-1633	47	255	applied	apply	VERB
cana-1633	47	256	nonlinear	nonlinear	ADJ
cana-1633	47	257	analysis	analysis	NOUN
cana-1633	47	258	issn	issn	NOUN
cana-1633	47	259	:	:	PUNCT
cana-1633	47	260	1074	1074	NUM
cana-1633	47	261	-	-	PUNCT
cana-1633	47	262	133x	133x	NUM
cana-1633	47	263	vol	vol	NOUN
cana-1633	47	264	32	32	NUM
cana-1633	47	265	no	no	NOUN
cana-1633	47	266	.	.	NOUN
cana-1633	47	267	1	1	NUM
cana-1633	47	268	(	(	PUNCT
cana-1633	47	269	2025	2025	NUM
cana-1633	47	270	)	)	PUNCT
cana-1633	47	271	229	229	NUM
cana-1633	47	272	https://internationalpubls.com	https://internationalpubls.com	X
cana-1633	47	273	machine	machine	NOUN
cana-1633	47	274	learning	learn	VERB
cana-1633	47	275	integration	integration	NOUN
cana-1633	47	276	signal	signal	NOUN
cana-1633	47	277	processing	processing	NOUN
cana-1633	47	278	and	and	CCONJ
cana-1633	47	279	machine	machine	NOUN
cana-1633	47	280	learning	learning	NOUN
cana-1633	47	281	methods	method	NOUN
cana-1633	47	282	enhances	enhance	VERB
cana-1633	47	283	data	datum	NOUN
cana-1633	47	284	analytics	analytic	NOUN
cana-1633	47	285	and	and	CCONJ
cana-1633	47	286	pattern	pattern	NOUN
cana-1633	47	287	recognition	recognition	NOUN
cana-1633	47	288	capabilities	capability	NOUN
cana-1633	47	289	in	in	ADP
cana-1633	47	290	electronic	electronic	ADJ
cana-1633	47	291	systems	system	NOUN
cana-1633	47	292	improved	improve	VERB
cana-1633	47	293	intelligence	intelligence	NOUN
cana-1633	47	294	and	and	CCONJ
cana-1633	47	295	adaptability	adaptability	NOUN
cana-1633	47	296	of	of	ADP
cana-1633	47	297	systems	system	NOUN
cana-1633	47	298	;	;	PUNCT
cana-1633	47	299	enables	enable	VERB
cana-1633	47	300	new	new	ADJ
cana-1633	47	301	applications	application	NOUN
cana-1633	47	302	in	in	ADP
cana-1633	47	303	various	various	ADJ
cana-1633	47	304	fields	field	NOUN
cana-1633	47	305	requires	require	VERB
cana-1633	47	306	large	large	ADJ
cana-1633	47	307	datasets	dataset	NOUN
cana-1633	47	308	for	for	ADP
cana-1633	47	309	training	training	NOUN
cana-1633	47	310	;	;	PUNCT
cana-1633	47	311	high	high	ADJ
cana-1633	47	312	computational	computational	ADJ
cana-1633	47	313	requirements	requirement	NOUN
cana-1633	47	314	the	the	DET
cana-1633	47	315	fourier	fourier	NOUN
cana-1633	47	316	transform	transform	NOUN
cana-1633	47	317	is	be	AUX
cana-1633	47	318	one	one	NUM
cana-1633	47	319	of	of	ADP
cana-1633	47	320	the	the	DET
cana-1633	47	321	basic	basic	ADJ
cana-1633	47	322	ways	way	NOUN
cana-1633	47	323	.	.	PUNCT
cana-1633	48	1	it	it	PRON
cana-1633	48	2	breaks	break	VERB
cana-1633	48	3	down	down	ADP
cana-1633	48	4	data	datum	NOUN
cana-1633	48	5	into	into	ADP
cana-1633	48	6	their	their	PRON
cana-1633	48	7	individual	individual	ADJ
cana-1633	48	8	frequencies	frequency	NOUN
cana-1633	48	9	,	,	PUNCT
cana-1633	48	10	which	which	PRON
cana-1633	48	11	lets	let	VERB
cana-1633	48	12	you	you	PRON
cana-1633	48	13	do	do	VERB
cana-1633	48	14	accurate	accurate	ADJ
cana-1633	48	15	frequency	frequency	NOUN
cana-1633	48	16	domain	domain	NOUN
cana-1633	48	17	analysis	analysis	NOUN
cana-1633	48	18	.	.	PUNCT
cana-1633	49	1	this	this	DET
cana-1633	49	2	method	method	NOUN
cana-1633	49	3	is	be	AUX
cana-1633	49	4	very	very	ADV
cana-1633	49	5	important	important	ADJ
cana-1633	49	6	for	for	ADP
cana-1633	49	7	filtering	filter	VERB
cana-1633	49	8	and	and	CCONJ
cana-1633	49	9	spectral	spectral	ADJ
cana-1633	49	10	analysis	analysis	NOUN
cana-1633	49	11	because	because	SCONJ
cana-1633	49	12	it	it	PRON
cana-1633	49	13	lets	let	VERB
cana-1633	49	14	engineers	engineer	NOUN
cana-1633	49	15	separate	separate	VERB
cana-1633	49	16	or	or	CCONJ
cana-1633	49	17	get	get	AUX
cana-1633	49	18	rid	rid	VERB
cana-1633	49	19	of	of	ADP
cana-1633	49	20	certain	certain	ADJ
cana-1633	49	21	frequency	frequency	NOUN
cana-1633	49	22	components	component	NOUN
cana-1633	49	23	to	to	PART
cana-1633	49	24	make	make	VERB
cana-1633	49	25	the	the	DET
cana-1633	49	26	information	information	NOUN
cana-1633	49	27	clearer	clear	ADJ
cana-1633	49	28	.	.	PUNCT
cana-1633	50	1	the	the	DET
cana-1633	50	2	best	good	ADJ
cana-1633	50	3	thing	thing	NOUN
cana-1633	50	4	about	about	ADP
cana-1633	50	5	fourier	fourier	NOUN
cana-1633	50	6	transforms	transform	VERB
cana-1633	50	7	is	be	AUX
cana-1633	50	8	that	that	SCONJ
cana-1633	50	9	they	they	PRON
cana-1633	50	10	are	be	AUX
cana-1633	50	11	very	very	ADV
cana-1633	50	12	good	good	ADJ
cana-1633	50	13	at	at	ADP
cana-1633	50	14	analyzing	analyze	VERB
cana-1633	50	15	frequencies	frequency	NOUN
cana-1633	50	16	,	,	PUNCT
cana-1633	50	17	which	which	PRON
cana-1633	50	18	makes	make	VERB
cana-1633	50	19	them	they	PRON
cana-1633	50	20	necessary	necessary	ADJ
cana-1633	50	21	for	for	ADP
cana-1633	50	22	tasks	task	NOUN
cana-1633	50	23	that	that	PRON
cana-1633	50	24	need	need	VERB
cana-1633	50	25	accurate	accurate	ADJ
cana-1633	50	26	frequency	frequency	NOUN
cana-1633	50	27	readings	reading	NOUN
cana-1633	51	1	[	[	X
cana-1633	51	2	6	6	NUM
cana-1633	51	3	]	]	X
cana-1633	52	1	[	[	X
cana-1633	52	2	7	7	NUM
cana-1633	52	3	]	]	PUNCT
cana-1633	52	4	.	.	PUNCT
cana-1633	53	1	their	their	PRON
cana-1633	53	2	weakness	weakness	NOUN
cana-1633	53	3	is	be	AUX
cana-1633	53	4	that	that	SCONJ
cana-1633	53	5	they	they	PRON
cana-1633	53	6	ca	can	AUX
cana-1633	53	7	n't	not	PART
cana-1633	53	8	be	be	AUX
cana-1633	53	9	used	use	VERB
cana-1633	53	10	to	to	PART
cana-1633	53	11	look	look	VERB
cana-1633	53	12	at	at	ADP
cana-1633	53	13	signals	signal	NOUN
cana-1633	53	14	that	that	PRON
cana-1633	53	15	are	be	AUX
cana-1633	53	16	n't	not	PART
cana-1633	53	17	stable	stable	ADJ
cana-1633	53	18	because	because	SCONJ
cana-1633	53	19	their	their	PRON
cana-1633	53	20	properties	property	NOUN
cana-1633	53	21	change	change	VERB
cana-1633	53	22	over	over	ADP
cana-1633	53	23	time	time	NOUN
cana-1633	53	24	.	.	PUNCT
cana-1633	54	1	this	this	PRON
cana-1633	54	2	is	be	AUX
cana-1633	54	3	because	because	SCONJ
cana-1633	54	4	fourier	fourier	NOUN
cana-1633	54	5	transforms	transform	VERB
cana-1633	54	6	only	only	ADV
cana-1633	54	7	show	show	VERB
cana-1633	54	8	frequencies	frequency	NOUN
cana-1633	54	9	globally	globally	ADV
cana-1633	54	10	and	and	CCONJ
cana-1633	54	11	not	not	PART
cana-1633	54	12	where	where	SCONJ
cana-1633	54	13	they	they	PRON
cana-1633	54	14	happen	happen	VERB
cana-1633	54	15	in	in	ADP
cana-1633	54	16	time	time	NOUN
cana-1633	54	17	.	.	PUNCT
cana-1633	55	1	wavelet	wavelet	NOUN
cana-1633	55	2	transforms	transform	VERB
cana-1633	55	3	are	be	AUX
cana-1633	55	4	a	a	DET
cana-1633	55	5	powerful	powerful	ADJ
cana-1633	55	6	alternative	alternative	NOUN
cana-1633	55	7	to	to	ADP
cana-1633	55	8	fourier	fourier	NOUN
cana-1633	55	9	transforms	transform	NOUN
cana-1633	55	10	that	that	PRON
cana-1633	55	11	can	can	AUX
cana-1633	55	12	be	be	AUX
cana-1633	55	13	used	use	VERB
cana-1633	55	14	to	to	PART
cana-1633	55	15	fix	fix	VERB
cana-1633	55	16	the	the	DET
cana-1633	55	17	problems	problem	NOUN
cana-1633	55	18	with	with	ADP
cana-1633	55	19	fourier	fourier	NOUN
cana-1633	55	20	transforms	transform	NOUN
cana-1633	55	21	.	.	PUNCT
cana-1633	56	1	wavelet	wavelet	NOUN
cana-1633	56	2	transforms	transform	VERB
cana-1633	56	3	record	record	NOUN
cana-1633	56	4	both	both	DET
cana-1633	56	5	time	time	NOUN
cana-1633	56	6	and	and	CCONJ
cana-1633	56	7	frequency	frequency	NOUN
cana-1633	56	8	information	information	NOUN
cana-1633	56	9	,	,	PUNCT
cana-1633	56	10	which	which	PRON
cana-1633	56	11	gives	give	VERB
cana-1633	56	12	a	a	DET
cana-1633	56	13	more	more	ADV
cana-1633	56	14	accurate	accurate	ADJ
cana-1633	56	15	picture	picture	NOUN
cana-1633	56	16	of	of	ADP
cana-1633	56	17	signals	signal	NOUN
cana-1633	56	18	,	,	PUNCT
cana-1633	56	19	especially	especially	ADV
cana-1633	56	20	those	those	PRON
cana-1633	56	21	whose	whose	DET
cana-1633	56	22	traits	trait	NOUN
cana-1633	56	23	change	change	VERB
cana-1633	56	24	or	or	CCONJ
cana-1633	56	25	stay	stay	VERB
cana-1633	56	26	the	the	DET
cana-1633	56	27	same	same	ADJ
cana-1633	56	28	over	over	ADP
cana-1633	56	29	time	time	NOUN
cana-1633	56	30	.	.	PUNCT
cana-1633	57	1	for	for	ADP
cana-1633	57	2	tasks	task	NOUN
cana-1633	57	3	like	like	ADP
cana-1633	57	4	picture	picture	NOUN
cana-1633	57	5	compression	compression	NOUN
cana-1633	57	6	and	and	CCONJ
cana-1633	57	7	noise	noise	NOUN
cana-1633	57	8	reduction	reduction	NOUN
cana-1633	57	9	,	,	PUNCT
cana-1633	57	10	where	where	SCONJ
cana-1633	57	11	signals	signal	NOUN
cana-1633	57	12	change	change	VERB
cana-1633	57	13	frequency	frequency	NOUN
cana-1633	57	14	over	over	ADP
cana-1633	57	15	time	time	NOUN
cana-1633	57	16	,	,	PUNCT
cana-1633	57	17	this	this	DET
cana-1633	57	18	feature	feature	NOUN
cana-1633	57	19	is	be	AUX
cana-1633	57	20	very	very	ADV
cana-1633	57	21	important	important	ADJ
cana-1633	57	22	[	[	X
cana-1633	57	23	8	8	NUM
cana-1633	57	24	-	-	SYM
cana-1633	57	25	12	12	NUM
cana-1633	57	26	]	]	PUNCT
cana-1633	57	27	.	.	PUNCT
cana-1633	58	1	wavelet	wavelet	NOUN
cana-1633	58	2	changes	change	NOUN
cana-1633	58	3	are	be	AUX
cana-1633	58	4	valuable	valuable	ADJ
cana-1633	58	5	for	for	ADP
cana-1633	58	6	considering	consider	VERB
cana-1633	58	7	information	information	NOUN
cana-1633	58	8	with	with	ADP
cana-1633	58	9	changing	change	VERB
cana-1633	58	10	recurrence	recurrence	NOUN
cana-1633	58	11	highlights	highlight	NOUN
cana-1633	58	12	,	,	PUNCT
cana-1633	58	13	but	but	CCONJ
cana-1633	58	14	they	they	PRON
cana-1633	58	15	take	take	VERB
cana-1633	58	16	a	a	DET
cana-1633	58	17	parcel	parcel	NOUN
cana-1633	58	18	of	of	ADP
cana-1633	58	19	computing	compute	VERB
cana-1633	58	20	control	control	NOUN
cana-1633	58	21	and	and	CCONJ
cana-1633	58	22	require	require	VERB
cana-1633	58	23	cautious	cautious	ADJ
cana-1633	58	24	choice	choice	NOUN
cana-1633	58	25	of	of	ADP
cana-1633	58	26	the	the	DET
cana-1633	58	27	correct	correct	ADJ
cana-1633	58	28	wavelets	wavelet	NOUN
cana-1633	58	29	,	,	PUNCT
cana-1633	58	30	which	which	PRON
cana-1633	58	31	can	can	AUX
cana-1633	58	32	be	be	AUX
cana-1633	58	33	difficult	difficult	ADJ
cana-1633	58	34	to	to	PART
cana-1633	58	35	do	do	VERB
cana-1633	58	36	.	.	PUNCT
cana-1633	59	1	procedures	procedure	NOUN
cana-1633	59	2	for	for	ADP
cana-1633	59	3	measurable	measurable	ADJ
cana-1633	59	4	flag	flag	NOUN
cana-1633	59	5	handling	handling	NOUN
cana-1633	59	6	,	,	PUNCT
cana-1633	59	7	like	like	ADP
cana-1633	59	8	versatile	versatile	ADJ
cana-1633	59	9	sifting	sifting	NOUN
cana-1633	59	10	and	and	CCONJ
cana-1633	59	11	estimation	estimation	NOUN
cana-1633	59	12	hypothesis	hypothesis	NOUN
cana-1633	59	13	,	,	PUNCT
cana-1633	59	14	are	be	AUX
cana-1633	59	15	exceptionally	exceptionally	ADV
cana-1633	59	16	critical	critical	ADJ
cana-1633	59	17	for	for	ADP
cana-1633	59	18	getting	getting	AUX
cana-1633	59	19	freed	free	VERB
cana-1633	59	20	of	of	ADP
cana-1633	59	21	clamor	clamor	NOUN
cana-1633	59	22	and	and	CCONJ
cana-1633	59	23	moving	move	VERB
cana-1633	59	24	forward	forward	ADV
cana-1633	59	25	signals	signal	NOUN
cana-1633	59	26	.	.	PUNCT
cana-1633	60	1	versatile	versatile	ADJ
cana-1633	60	2	sifting	sift	VERB
cana-1633	60	3	changes	change	NOUN
cana-1633	60	4	the	the	DET
cana-1633	60	5	channel	channel	NOUN
cana-1633	60	6	settings	setting	NOUN
cana-1633	60	7	on	on	ADP
cana-1633	60	8	the	the	DET
cana-1633	60	9	fly	fly	NOUN
cana-1633	60	10	based	base	VERB
cana-1633	60	11	on	on	ADP
cana-1633	60	12	the	the	DET
cana-1633	60	13	highlights	highlight	NOUN
cana-1633	60	14	of	of	ADP
cana-1633	60	15	the	the	DET
cana-1633	60	16	getting	get	VERB
cana-1633	60	17	flag	flag	NOUN
cana-1633	60	18	.	.	PUNCT
cana-1633	61	1	this	this	PRON
cana-1633	61	2	makes	make	VERB
cana-1633	61	3	the	the	DET
cana-1633	61	4	framework	framework	NOUN
cana-1633	61	5	work	work	VERB
cana-1633	61	6	way	way	ADV
cana-1633	61	7	better	well	ADV
cana-1633	61	8	in	in	ADP
cana-1633	61	9	real	real	ADJ
cana-1633	61	10	-	-	PUNCT
cana-1633	61	11	time	time	NOUN
cana-1633	61	12	circumstances	circumstance	NOUN
cana-1633	61	13	and	and	CCONJ
cana-1633	61	14	situations	situation	NOUN
cana-1633	61	15	that	that	PRON
cana-1633	61	16	alter	alter	VERB
cana-1633	61	17	.	.	PUNCT
cana-1633	62	1	this	this	DET
cana-1633	62	2	strategy	strategy	NOUN
cana-1633	62	3	makes	make	VERB
cana-1633	62	4	strides	stride	NOUN
cana-1633	62	5	the	the	DET
cana-1633	62	6	quality	quality	NOUN
cana-1633	62	7	of	of	ADP
cana-1633	62	8	the	the	DET
cana-1633	62	9	stream	stream	NOUN
cana-1633	62	10	by	by	ADP
cana-1633	62	11	getting	getting	AUX
cana-1633	62	12	freed	free	VERB
cana-1633	62	13	of	of	ADP
cana-1633	62	14	clamor	clamor	NOUN
cana-1633	62	15	and	and	CCONJ
cana-1633	62	16	keeping	keep	VERB
cana-1633	62	17	the	the	DET
cana-1633	62	18	valuable	valuable	ADJ
cana-1633	62	19	information	information	NOUN
cana-1633	62	20	[	[	X
cana-1633	62	21	13	13	NUM
cana-1633	62	22	]	]	PUNCT
cana-1633	62	23	.	.	PUNCT
cana-1633	63	1	versatile	versatile	ADJ
cana-1633	63	2	sifting	sifting	NOUN
cana-1633	63	3	,	,	PUNCT
cana-1633	63	4	on	on	ADP
cana-1633	63	5	the	the	DET
cana-1633	63	6	other	other	ADJ
cana-1633	63	7	hand	hand	NOUN
cana-1633	63	8	,	,	PUNCT
cana-1633	63	9	is	be	AUX
cana-1633	63	10	difficult	difficult	ADJ
cana-1633	63	11	to	to	PART
cana-1633	63	12	compute	compute	VERB
cana-1633	63	13	and	and	CCONJ
cana-1633	63	14	has	have	VERB
cana-1633	63	15	issues	issue	NOUN
cana-1633	63	16	with	with	ADP
cana-1633	63	17	solidness	solidness	NOUN
cana-1633	63	18	and	and	CCONJ
cana-1633	63	19	merging	merge	VERB
cana-1633	63	20	.	.	PUNCT
cana-1633	64	1	estimation	estimation	NOUN
cana-1633	64	2	hypothesis	hypothesis	NOUN
cana-1633	64	3	gives	give	VERB
cana-1633	64	4	us	we	PRON
cana-1633	64	5	ways	way	NOUN
cana-1633	64	6	to	to	PART
cana-1633	64	7	utilize	utilize	VERB
cana-1633	64	8	recorded	recorded	ADJ
cana-1633	64	9	information	information	NOUN
cana-1633	64	10	to	to	PART
cana-1633	64	11	reproduce	reproduce	VERB
cana-1633	64	12	signals	signal	NOUN
cana-1633	64	13	and	and	CCONJ
cana-1633	64	14	make	make	VERB
cana-1633	64	15	forecasts	forecast	NOUN
cana-1633	64	16	.	.	PUNCT
cana-1633	65	1	this	this	DET
cana-1633	65	2	strategy	strategy	NOUN
cana-1633	65	3	works	work	VERB
cana-1633	65	4	particularly	particularly	ADV
cana-1633	65	5	well	well	ADV
cana-1633	65	6	in	in	ADP
cana-1633	65	7	places	place	NOUN
cana-1633	65	8	where	where	SCONJ
cana-1633	65	9	exact	exact	ADJ
cana-1633	65	10	flag	flag	NOUN
cana-1633	65	11	revamping	revamping	NOUN
cana-1633	65	12	is	be	AUX
cana-1633	65	13	critical	critical	ADJ
cana-1633	65	14	,	,	PUNCT
cana-1633	65	15	like	like	ADP
cana-1633	65	16	radar	radar	NOUN
cana-1633	65	17	and	and	CCONJ
cana-1633	65	18	communication	communication	NOUN
cana-1633	65	19	frameworks	framework	NOUN
cana-1633	65	20	[	[	X
cana-1633	65	21	14]-[16	14]-[16	PROPN
cana-1633	65	22	]	]	PUNCT
cana-1633	65	23	.	.	PUNCT
cana-1633	66	1	the	the	DET
cana-1633	66	2	leading	lead	VERB
cana-1633	66	3	thing	thing	NOUN
cana-1633	66	4	around	around	ADP
cana-1633	66	5	assess	assess	NOUN
cana-1633	66	6	hypothesis	hypothesis	NOUN
cana-1633	66	7	is	be	AUX
cana-1633	66	8	that	that	SCONJ
cana-1633	66	9	it	it	PRON
cana-1633	66	10	can	can	AUX
cana-1633	66	11	accurately	accurately	ADV
cana-1633	66	12	reproduce	reproduce	VERB
cana-1633	66	13	signals	signal	NOUN
cana-1633	66	14	,	,	PUNCT
cana-1633	66	15	but	but	CCONJ
cana-1633	66	16	it	it	PRON
cana-1633	66	17	needs	need	VERB
cana-1633	66	18	exceptionally	exceptionally	ADV
cana-1633	66	19	particular	particular	ADJ
cana-1633	66	20	information	information	NOUN
cana-1633	66	21	to	to	PART
cana-1633	66	22	work	work	VERB
cana-1633	66	23	and	and	CCONJ
cana-1633	66	24	is	be	AUX
cana-1633	66	25	exceptionally	exceptionally	ADV
cana-1633	66	26	difficult	difficult	ADJ
cana-1633	66	27	to	to	PART
cana-1633	66	28	compute	compute	VERB
cana-1633	66	29	.	.	PUNCT
cana-1633	67	1	it	it	PRON
cana-1633	67	2	is	be	AUX
cana-1633	67	3	conceivable	conceivable	ADJ
cana-1633	67	4	to	to	PART
cana-1633	67	5	induce	induce	VERB
cana-1633	67	6	tall	tall	ADJ
cana-1633	67	7	compression	compression	NOUN
cana-1633	67	8	proportions	proportion	NOUN
cana-1633	67	9	for	for	ADP
cana-1633	67	10	pictures	picture	NOUN
cana-1633	67	11	and	and	CCONJ
cana-1633	67	12	information	information	NOUN
cana-1633	67	13	by	by	ADP
cana-1633	67	14	utilizing	utilize	VERB
cana-1633	67	15	wavelet	wavelet	NOUN
cana-1633	67	16	changes	change	NOUN
cana-1633	67	17	and	and	CCONJ
cana-1633	67	18	factual	factual	ADJ
cana-1633	67	19	strategies	strategy	NOUN
cana-1633	67	20	.	.	PUNCT
cana-1633	68	1	these	these	DET
cana-1633	68	2	methods	method	NOUN
cana-1633	68	3	keep	keep	VERB
cana-1633	68	4	critical	critical	ADJ
cana-1633	68	5	flag	flag	NOUN
cana-1633	68	6	highlights	highlight	NOUN
cana-1633	68	7	.	.	PUNCT
cana-1633	69	1	typically	typically	ADV
cana-1633	69	2	exceptionally	exceptionally	ADV
cana-1633	69	3	vital	vital	ADJ
cana-1633	69	4	for	for	ADP
cana-1633	69	5	sending	send	VERB
cana-1633	69	6	and	and	CCONJ
cana-1633	69	7	putting	put	VERB
cana-1633	69	8	away	away	ADP
cana-1633	69	9	information	information	NOUN
cana-1633	69	10	rapidly	rapidly	ADV
cana-1633	69	11	,	,	PUNCT
cana-1633	69	12	particularly	particularly	ADV
cana-1633	69	13	in	in	ADP
cana-1633	69	14	circumstances	circumstance	NOUN
cana-1633	69	15	where	where	SCONJ
cana-1633	69	16	speed	speed	NOUN
cana-1633	69	17	and	and	CCONJ
cana-1633	69	18	capacity	capacity	NOUN
cana-1633	69	19	space	space	NOUN
cana-1633	69	20	are	be	AUX
cana-1633	69	21	restricted	restrict	VERB
cana-1633	69	22	.	.	PUNCT
cana-1633	70	1	these	these	DET
cana-1633	70	2	strategies	strategy	NOUN
cana-1633	70	3	are	be	AUX
cana-1633	70	4	superior	superior	ADJ
cana-1633	70	5	since	since	SCONJ
cana-1633	70	6	they	they	PRON
cana-1633	70	7	can	can	AUX
cana-1633	70	8	keep	keep	VERB
cana-1633	70	9	flag	flag	NOUN
cana-1633	70	10	quality	quality	NOUN
cana-1633	70	11	whereas	whereas	SCONJ
cana-1633	70	12	compressing	compress	VERB
cana-1633	70	13	it	it	PRON
cana-1633	70	14	,	,	PUNCT
cana-1633	70	15	but	but	CCONJ
cana-1633	70	16	lossy	lossy	ADJ
cana-1633	70	17	compression	compression	NOUN
cana-1633	70	18	can	can	AUX
cana-1633	70	19	harm	harm	VERB
cana-1633	70	20	flag	flag	NOUN
cana-1633	70	21	quality	quality	NOUN
cana-1633	70	22	in	in	ADP
cana-1633	70	23	case	case	NOUN
cana-1633	70	24	it	it	PRON
cana-1633	70	25	's	be	AUX
cana-1633	70	26	not	not	PART
cana-1633	70	27	dealt	deal	VERB
cana-1633	70	28	with	with	ADP
cana-1633	70	29	appropriately	appropriately	ADV
cana-1633	70	30	[	[	X
cana-1633	70	31	17	17	NUM
cana-1633	70	32	]	]	PUNCT
cana-1633	70	33	.	.	PUNCT
cana-1633	71	1	combining	combine	VERB
cana-1633	71	2	flag	flag	NOUN
cana-1633	71	3	preparing	prepare	VERB
cana-1633	71	4	with	with	ADP
cana-1633	71	5	machine	machine	NOUN
cana-1633	71	6	learning	learning	NOUN
cana-1633	71	7	methods	method	NOUN
cana-1633	71	8	makes	make	VERB
cana-1633	71	9	it	it	PRON
cana-1633	71	10	less	less	ADV
cana-1633	71	11	demanding	demanding	ADJ
cana-1633	71	12	for	for	ADP
cana-1633	71	13	electronic	electronic	ADJ
cana-1633	71	14	frameworks	framework	NOUN
cana-1633	71	15	to	to	PART
cana-1633	71	16	analyze	analyze	VERB
cana-1633	71	17	information	information	NOUN
cana-1633	71	18	and	and	CCONJ
cana-1633	71	19	spot	spot	NOUN
cana-1633	71	20	designs	design	NOUN
cana-1633	71	21	.	.	PUNCT
cana-1633	72	1	this	this	DET
cana-1633	72	2	interaction	interaction	NOUN
cana-1633	72	3	makes	make	VERB
cana-1633	72	4	frameworks	framework	NOUN
cana-1633	72	5	more	more	ADV
cana-1633	72	6	intelligent	intelligent	ADJ
cana-1633	72	7	and	and	CCONJ
cana-1633	72	8	more	more	ADV
cana-1633	72	9	adaptable	adaptable	ADJ
cana-1633	72	10	,	,	PUNCT
cana-1633	72	11	which	which	PRON
cana-1633	72	12	leads	lead	VERB
cana-1633	72	13	to	to	ADP
cana-1633	72	14	modern	modern	ADJ
cana-1633	72	15	employments	employment	NOUN
cana-1633	72	16	in	in	ADP
cana-1633	72	17	many	many	ADJ
cana-1633	72	18	areas	area	NOUN
cana-1633	72	19	,	,	PUNCT
cana-1633	72	20	such	such	ADJ
cana-1633	72	21	as	as	ADP
cana-1633	72	22	automatic	automatic	ADJ
cana-1633	72	23	discourse	discourse	NOUN
cana-1633	72	24	acknowledgment	acknowledgment	NOUN
cana-1633	72	25	,	,	PUNCT
cana-1633	72	26	picture	picture	NOUN
cana-1633	72	27	investigation	investigation	NOUN
cana-1633	72	28	,	,	PUNCT
cana-1633	72	29	and	and	CCONJ
cana-1633	72	30	arranged	arrange	VERB
cana-1633	72	31	support	support	NOUN
cana-1633	72	32	[	[	X
cana-1633	72	33	18	18	NUM
cana-1633	72	34	]	]	PUNCT
cana-1633	72	35	.	.	PUNCT
cana-1633	73	1	the	the	DET
cana-1633	73	2	most	most	ADV
cana-1633	73	3	good	good	ADJ
cana-1633	73	4	thing	thing	NOUN
cana-1633	73	5	about	about	ADP
cana-1633	73	6	this	this	DET
cana-1633	73	7	communications	communication	NOUN
cana-1633	73	8	on	on	ADP
cana-1633	73	9	applied	apply	VERB
cana-1633	73	10	nonlinear	nonlinear	ADJ
cana-1633	73	11	analysis	analysis	NOUN
cana-1633	73	12	issn	issn	NOUN
cana-1633	73	13	:	:	PUNCT
cana-1633	73	14	1074	1074	NUM
cana-1633	73	15	-	-	PUNCT
cana-1633	73	16	133x	133x	NUM
cana-1633	73	17	vol	vol	NOUN
cana-1633	73	18	32	32	NUM
cana-1633	73	19	no	no	NOUN
cana-1633	73	20	.	.	NOUN
cana-1633	73	21	1	1	NUM
cana-1633	73	22	(	(	PUNCT
cana-1633	73	23	2025	2025	NUM
cana-1633	73	24	)	)	PUNCT
cana-1633	73	25	230	230	NUM
cana-1633	73	26	https://internationalpubls.com	https://internationalpubls.com	X
cana-1633	73	27	combination	combination	NOUN
cana-1633	73	28	is	be	AUX
cana-1633	73	29	that	that	SCONJ
cana-1633	73	30	it	it	PRON
cana-1633	73	31	makes	make	VERB
cana-1633	73	32	computer	computer	NOUN
cana-1633	73	33	frameworks	framework	NOUN
cana-1633	73	34	more	more	ADV
cana-1633	73	35	astute	astute	ADJ
cana-1633	73	36	and	and	CCONJ
cana-1633	73	37	more	more	ADV
cana-1633	73	38	adaptable	adaptable	ADJ
cana-1633	73	39	.	.	PUNCT
cana-1633	74	1	it	it	PRON
cana-1633	74	2	does	do	AUX
cana-1633	74	3	,	,	PUNCT
cana-1633	74	4	in	in	ADP
cana-1633	74	5	any	any	DET
cana-1633	74	6	case	case	NOUN
cana-1633	74	7	,	,	PUNCT
cana-1633	74	8	require	require	VERB
cana-1633	74	9	exceptionally	exceptionally	ADV
cana-1633	74	10	huge	huge	ADJ
cana-1633	74	11	tests	test	NOUN
cana-1633	74	12	for	for	ADP
cana-1633	74	13	preparing	prepare	VERB
cana-1633	74	14	and	and	CCONJ
cana-1633	74	15	a	a	DET
cana-1633	74	16	parcel	parcel	NOUN
cana-1633	74	17	of	of	ADP
cana-1633	74	18	computing	compute	VERB
cana-1633	74	19	control	control	NOUN
cana-1633	74	20	,	,	PUNCT
cana-1633	74	21	which	which	PRON
cana-1633	74	22	makes	make	VERB
cana-1633	74	23	getting	get	VERB
cana-1633	74	24	the	the	DET
cana-1633	74	25	information	information	NOUN
cana-1633	74	26	and	and	CCONJ
cana-1633	74	27	taking	take	VERB
cana-1633	74	28	care	care	NOUN
cana-1633	74	29	of	of	ADP
cana-1633	74	30	it	it	PRON
cana-1633	74	31	exceptionally	exceptionally	ADV
cana-1633	74	32	difficult	difficult	ADJ
cana-1633	74	33	[	[	X
cana-1633	74	34	19	19	NUM
cana-1633	74	35	]	]	PUNCT
cana-1633	74	36	.	.	PUNCT
cana-1633	75	1	the	the	DET
cana-1633	75	2	table	table	NOUN
cana-1633	75	3	appears	appear	VERB
cana-1633	75	4	the	the	DET
cana-1633	75	5	distinctive	distinctive	ADJ
cana-1633	75	6	scientific	scientific	ADJ
cana-1633	75	7	methods	method	NOUN
cana-1633	75	8	that	that	PRON
cana-1633	75	9	make	make	VERB
cana-1633	75	10	flag	flag	NOUN
cana-1633	75	11	handling	handle	VERB
cana-1633	75	12	superior	superior	ADJ
cana-1633	75	13	in	in	ADP
cana-1633	75	14	gadgets	gadget	NOUN
cana-1633	75	15	.	.	PUNCT
cana-1633	76	1	each	each	DET
cana-1633	76	2	one	one	NOUN
cana-1633	76	3	has	have	VERB
cana-1633	76	4	its	its	PRON
cana-1633	76	5	claim	claim	NOUN
cana-1633	76	6	objectives	objective	NOUN
cana-1633	76	7	,	,	PUNCT
cana-1633	76	8	strategies	strategy	NOUN
cana-1633	76	9	,	,	PUNCT
cana-1633	76	10	comes	come	VERB
cana-1633	76	11	about	about	ADP
cana-1633	76	12	,	,	PUNCT
cana-1633	76	13	stars	star	NOUN
cana-1633	76	14	and	and	CCONJ
cana-1633	76	15	cons	con	NOUN
cana-1633	76	16	.	.	PUNCT
cana-1633	77	1	fourier	fouri	ADJ
cana-1633	77	2	changes	change	NOUN
cana-1633	77	3	are	be	AUX
cana-1633	77	4	great	great	ADJ
cana-1633	77	5	for	for	ADP
cana-1633	77	6	precise	precise	ADJ
cana-1633	77	7	recurrence	recurrence	NOUN
cana-1633	77	8	space	space	NOUN
cana-1633	77	9	examination	examination	NOUN
cana-1633	77	10	,	,	PUNCT
cana-1633	77	11	but	but	CCONJ
cana-1633	77	12	they	they	PRON
cana-1633	77	13	are	be	AUX
cana-1633	77	14	n't	not	PART
cana-1633	77	15	awesome	awesome	ADJ
cana-1633	77	16	for	for	ADP
cana-1633	77	17	looking	look	VERB
cana-1633	77	18	at	at	ADP
cana-1633	77	19	designs	design	NOUN
cana-1633	77	20	that	that	PRON
cana-1633	77	21	are	be	AUX
cana-1633	77	22	n't	not	PART
cana-1633	77	23	steady	steady	ADJ
cana-1633	77	24	.	.	PUNCT
cana-1633	78	1	wavelets	wavelet	NOUN
cana-1633	78	2	transforms	transform	VERB
cana-1633	78	3	provide	provide	VERB
cana-1633	78	4	multi	multi	ADJ
cana-1633	78	5	-	-	ADJ
cana-1633	78	6	resolution	resolution	ADJ
cana-1633	78	7	investigation	investigation	NOUN
cana-1633	78	8	and	and	CCONJ
cana-1633	78	9	are	be	AUX
cana-1633	78	10	great	great	ADJ
cana-1633	78	11	at	at	ADP
cana-1633	78	12	recording	record	VERB
cana-1633	78	13	changing	change	VERB
cana-1633	78	14	characteristics	characteristic	NOUN
cana-1633	78	15	,	,	PUNCT
cana-1633	78	16	but	but	CCONJ
cana-1633	78	17	they	they	PRON
cana-1633	78	18	require	require	VERB
cana-1633	78	19	a	a	DET
cana-1633	78	20	parcel	parcel	NOUN
cana-1633	78	21	of	of	ADP
cana-1633	78	22	computing	compute	VERB
cana-1633	78	23	control	control	NOUN
cana-1633	78	24	.	.	PUNCT
cana-1633	79	1	measurable	measurable	ADJ
cana-1633	79	2	flag	flag	NOUN
cana-1633	79	3	preparing	prepare	VERB
cana-1633	79	4	methods	method	NOUN
cana-1633	79	5	,	,	PUNCT
cana-1633	79	6	such	such	ADJ
cana-1633	79	7	as	as	ADP
cana-1633	79	8	versatile	versatile	ADJ
cana-1633	79	9	sifting	sifting	NOUN
cana-1633	79	10	and	and	CCONJ
cana-1633	79	11	appraise	appraise	PROPN
cana-1633	79	12	hypothesis	hypothesis	NOUN
cana-1633	79	13	,	,	PUNCT
cana-1633	79	14	move	move	VERB
cana-1633	79	15	forward	forward	ADV
cana-1633	79	16	the	the	DET
cana-1633	79	17	quality	quality	NOUN
cana-1633	79	18	and	and	CCONJ
cana-1633	79	19	exactness	exactness	NOUN
cana-1633	79	20	of	of	ADP
cana-1633	79	21	signals	signal	NOUN
cana-1633	79	22	,	,	PUNCT
cana-1633	79	23	but	but	CCONJ
cana-1633	79	24	they	they	PRON
cana-1633	79	25	are	be	AUX
cana-1633	79	26	exceptionally	exceptionally	ADV
cana-1633	79	27	difficult	difficult	ADJ
cana-1633	79	28	to	to	PART
cana-1633	79	29	compute	compute	VERB
cana-1633	79	30	.	.	PUNCT
cana-1633	80	1	picture	picture	NOUN
cana-1633	80	2	and	and	CCONJ
cana-1633	80	3	information	information	NOUN
cana-1633	80	4	compression	compression	NOUN
cana-1633	80	5	strategies	strategy	NOUN
cana-1633	80	6	make	make	VERB
cana-1633	80	7	it	it	PRON
cana-1633	80	8	less	less	ADV
cana-1633	80	9	demanding	demanding	ADJ
cana-1633	80	10	to	to	PART
cana-1633	80	11	store	store	VERB
cana-1633	80	12	and	and	CCONJ
cana-1633	80	13	send	send	VERB
cana-1633	80	14	information	information	NOUN
cana-1633	80	15	whereas	whereas	SCONJ
cana-1633	80	16	keeping	keep	VERB
cana-1633	80	17	the	the	DET
cana-1633	80	18	quality	quality	NOUN
cana-1633	80	19	of	of	ADP
cana-1633	80	20	the	the	DET
cana-1633	80	21	flag	flag	NOUN
cana-1633	80	22	[	[	X
cana-1633	80	23	20	20	NUM
cana-1633	80	24	]	]	PUNCT
cana-1633	80	25	.	.	PUNCT
cana-1633	81	1	combining	combine	VERB
cana-1633	81	2	machine	machine	NOUN
cana-1633	81	3	learning	learning	NOUN
cana-1633	81	4	and	and	CCONJ
cana-1633	81	5	flag	flag	NOUN
cana-1633	81	6	preparing	prepare	VERB
cana-1633	81	7	leads	lead	NOUN
cana-1633	81	8	to	to	ADP
cana-1633	81	9	modern	modern	ADJ
cana-1633	81	10	thoughts	thought	NOUN
cana-1633	81	11	and	and	CCONJ
cana-1633	81	12	adaptability	adaptability	NOUN
cana-1633	81	13	in	in	ADP
cana-1633	81	14	electronic	electronic	ADJ
cana-1633	81	15	frameworks	framework	NOUN
cana-1633	81	16	,	,	PUNCT
cana-1633	81	17	but	but	CCONJ
cana-1633	81	18	it	it	PRON
cana-1633	81	19	needs	need	VERB
cana-1633	81	20	a	a	DET
cana-1633	81	21	part	part	NOUN
cana-1633	81	22	of	of	ADP
cana-1633	81	23	computing	compute	VERB
cana-1633	81	24	control	control	NOUN
cana-1633	81	25	and	and	CCONJ
cana-1633	81	26	a	a	DET
cana-1633	81	27	part	part	NOUN
cana-1633	81	28	of	of	ADP
cana-1633	81	29	information	information	NOUN
cana-1633	81	30	.	.	PUNCT
cana-1633	82	1	together	together	ADV
cana-1633	82	2	,	,	PUNCT
cana-1633	82	3	these	these	DET
cana-1633	82	4	strategies	strategy	NOUN
cana-1633	82	5	make	make	VERB
cana-1633	82	6	information	information	NOUN
cana-1633	82	7	dealing	deal	VERB
cana-1633	82	8	with	with	ADP
cana-1633	82	9	way	way	NOUN
cana-1633	82	10	better	well	ADV
cana-1633	82	11	,	,	PUNCT
cana-1633	82	12	which	which	PRON
cana-1633	82	13	makes	make	VERB
cana-1633	82	14	it	it	PRON
cana-1633	82	15	conceivable	conceivable	ADJ
cana-1633	82	16	for	for	SCONJ
cana-1633	82	17	computer	computer	NOUN
cana-1633	82	18	gadgets	gadget	NOUN
cana-1633	82	19	to	to	PART
cana-1633	82	20	be	be	AUX
cana-1633	82	21	more	more	ADV
cana-1633	82	22	brilliant	brilliant	ADJ
cana-1633	82	23	and	and	CCONJ
cana-1633	82	24	work	work	NOUN
cana-1633	82	25	way	way	ADV
cana-1633	82	26	better	well	ADV
cana-1633	82	27	.	.	PUNCT
cana-1633	83	1	3	3	X
cana-1633	83	2	.	.	X
cana-1633	83	3	preprocessing	preprocesse	VERB
cana-1633	83	4	1	1	NUM
cana-1633	83	5	.	.	PUNCT
cana-1633	84	1	filtering	filter	VERB
cana-1633	84	2	:	:	PUNCT
cana-1633	84	3	the	the	DET
cana-1633	84	4	method	method	NOUN
cana-1633	84	5	of	of	ADP
cana-1633	84	6	sifting	sifting	NOUN
cana-1633	84	7	is	be	AUX
cana-1633	84	8	taking	take	VERB
cana-1633	84	9	out	out	ADP
cana-1633	84	10	parts	part	NOUN
cana-1633	84	11	of	of	ADP
cana-1633	84	12	a	a	DET
cana-1633	84	13	flag	flag	NOUN
cana-1633	84	14	that	that	PRON
cana-1633	84	15	are	be	AUX
cana-1633	84	16	n't	not	PART
cana-1633	84	17	required	require	VERB
cana-1633	84	18	.	.	PUNCT
cana-1633	85	1	in	in	ADP
cana-1633	85	2	arrange	arrange	NOUN
cana-1633	85	3	to	to	PART
cana-1633	85	4	keep	keep	VERB
cana-1633	85	5	or	or	CCONJ
cana-1633	85	6	get	get	AUX
cana-1633	85	7	freed	free	VERB
cana-1633	85	8	of	of	ADP
cana-1633	85	9	recurrence	recurrence	NOUN
cana-1633	85	10	components	component	NOUN
cana-1633	85	11	,	,	PUNCT
cana-1633	85	12	distinctive	distinctive	ADJ
cana-1633	85	13	sorts	sort	NOUN
cana-1633	85	14	of	of	ADP
cana-1633	85	15	channels	channel	NOUN
cana-1633	85	16	are	be	AUX
cana-1633	85	17	utilized	utilize	VERB
cana-1633	85	18	,	,	PUNCT
cana-1633	85	19	such	such	ADJ
cana-1633	85	20	as	as	ADP
cana-1633	85	21	low	low	ADJ
cana-1633	85	22	-	-	PUNCT
cana-1633	85	23	pass	pass	NOUN
cana-1633	85	24	,	,	PUNCT
cana-1633	85	25	high	high	ADJ
cana-1633	85	26	-	-	PUNCT
cana-1633	85	27	pass	pass	NOUN
cana-1633	85	28	,	,	PUNCT
cana-1633	85	29	and	and	CCONJ
cana-1633	85	30	band	band	NOUN
cana-1633	85	31	-	-	PUNCT
cana-1633	85	32	pass	pass	VERB
cana-1633	85	33	.	.	PUNCT
cana-1633	86	1	low	low	ADJ
cana-1633	86	2	-	-	PUNCT
cana-1633	86	3	pass	pass	NOUN
cana-1633	86	4	channel	channel	NOUN
cana-1633	86	5	:	:	PUNCT
cana-1633	86	6	lets	let	VERB
cana-1633	86	7	sounds	sound	VERB
cana-1633	86	8	with	with	ADP
cana-1633	86	9	a	a	DET
cana-1633	86	10	recurrence	recurrence	NOUN
cana-1633	86	11	less	less	ADJ
cana-1633	86	12	than	than	SCONJ
cana-1633	86	13	a	a	DET
cana-1633	86	14	certain	certain	ADJ
cana-1633	86	15	cutoff	cutoff	NOUN
cana-1633	86	16	recurrence	recurrence	NOUN
cana-1633	86	17	pass	pass	VERB
cana-1633	86	18	through	through	ADV
cana-1633	86	19	,	,	PUNCT
cana-1633	86	20	but	but	CCONJ
cana-1633	86	21	brings	bring	VERB
cana-1633	86	22	down	down	ADP
cana-1633	86	23	the	the	DET
cana-1633	86	24	volume	volume	NOUN
cana-1633	86	25	of	of	ADP
cana-1633	86	26	frequencies	frequency	NOUN
cana-1633	86	27	higher	high	ADJ
cana-1633	86	28	than	than	ADP
cana-1633	86	29	the	the	DET
cana-1633	86	30	cutoff	cutoff	NOUN
cana-1633	86	31	.	.	PUNCT
cana-1633	87	1	𝐻𝐿𝑃(𝑓	𝐻𝐿𝑃(𝑓	ADJ
cana-1633	87	2	)	)	PUNCT
cana-1633	87	3	=	=	PRON
cana-1633	87	4	{	{	PUNCT
cana-1633	87	5	1	1	NUM
cana-1633	87	6	𝑖𝑓	𝑖𝑓	NOUN
cana-1633	87	7	∣	∣	PROPN
cana-1633	87	8	𝑓	𝑓	ADV
cana-1633	87	9	∣≤	∣≤	NUM
cana-1633	87	10	𝑓𝑐	𝑓𝑐	ADP
cana-1633	87	11	0	0	NUM
cana-1633	87	12	𝑖𝑓	𝑖𝑓	PROPN
cana-1633	87	13	∣	∣	PROPN
cana-1633	87	14	𝑓	𝑓	DET
cana-1633	87	15	∣	∣	NOUN
cana-1633	87	16	>	>	X
cana-1633	87	17	𝑓𝑐	𝑓𝑐	ADP
cana-1633	87	18	where	where	SCONJ
cana-1633	87	19	h_lp	h_lp	PROPN
cana-1633	87	20	(	(	PUNCT
cana-1633	87	21	f	f	X
cana-1633	87	22	)	)	PUNCT
cana-1633	87	23	is	be	AUX
cana-1633	87	24	the	the	DET
cana-1633	87	25	exchange	exchange	NOUN
cana-1633	87	26	work	work	NOUN
cana-1633	87	27	of	of	ADP
cana-1633	87	28	the	the	DET
cana-1633	87	29	low	low	ADJ
cana-1633	87	30	-	-	PUNCT
cana-1633	87	31	pass	pass	NOUN
cana-1633	87	32	channel	channel	NOUN
cana-1633	87	33	and	and	CCONJ
cana-1633	87	34	f_c	f_c	NUM
cana-1633	87	35	is	be	AUX
cana-1633	87	36	the	the	DET
cana-1633	87	37	cutoff	cutoff	NOUN
cana-1633	87	38	recurrence	recurrence	NOUN
cana-1633	87	39	.	.	PUNCT
cana-1633	88	1	high	high	ADJ
cana-1633	88	2	-	-	PUNCT
cana-1633	88	3	pass	pass	NOUN
cana-1633	88	4	channel	channel	NOUN
cana-1633	88	5	:	:	PUNCT
cana-1633	88	6	signals	signal	NOUN
cana-1633	88	7	with	with	ADP
cana-1633	88	8	a	a	DET
cana-1633	88	9	recurrence	recurrence	NOUN
cana-1633	88	10	over	over	ADP
cana-1633	88	11	a	a	DET
cana-1633	88	12	certain	certain	ADJ
cana-1633	88	13	cutoff	cutoff	NOUN
cana-1633	88	14	recurrence	recurrence	NOUN
cana-1633	88	15	can	can	AUX
cana-1633	88	16	pass	pass	VERB
cana-1633	88	17	through	through	ADV
cana-1633	88	18	,	,	PUNCT
cana-1633	88	19	but	but	CCONJ
cana-1633	88	20	frequencies	frequency	NOUN
cana-1633	88	21	underneath	underneath	ADP
cana-1633	88	22	the	the	DET
cana-1633	88	23	cutoff	cutoff	NOUN
cana-1633	88	24	are	be	AUX
cana-1633	88	25	debilitated	debilitate	VERB
cana-1633	88	26	.	.	PUNCT
cana-1633	89	1	𝐻𝐻𝑃(𝑓	𝐻𝐻𝑃(𝑓	X
cana-1633	89	2	)	)	PUNCT
cana-1633	89	3	=	=	PRON
cana-1633	89	4	{	{	PUNCT
cana-1633	89	5	0	0	NUM
cana-1633	89	6	𝑖𝑓	𝑖𝑓	NOUN
cana-1633	89	7	∣	∣	PROPN
cana-1633	89	8	𝑓	𝑓	ADV
cana-1633	89	9	∣≤	∣≤	NUM
cana-1633	89	10	𝑓𝑐	𝑓𝑐	ADP
cana-1633	89	11	1	1	NUM
cana-1633	89	12	𝑖𝑓	𝑖𝑓	NOUN
cana-1633	89	13	∣	∣	PROPN
cana-1633	89	14	𝑓	𝑓	DET
cana-1633	89	15	∣	∣	NOUN
cana-1633	89	16	>	>	X
cana-1633	89	17	𝑓𝑐	𝑓𝑐	ADP
cana-1633	89	18	band	band	NOUN
cana-1633	89	19	-	-	PUNCT
cana-1633	89	20	pass	pass	ADJ
cana-1633	89	21	channel	channel	NOUN
cana-1633	89	22	:	:	PUNCT
cana-1633	89	23	this	this	DET
cana-1633	89	24	sort	sort	NOUN
cana-1633	89	25	of	of	ADP
cana-1633	89	26	channel	channel	NOUN
cana-1633	89	27	lets	let	VERB
cana-1633	89	28	sounds	sound	VERB
cana-1633	89	29	inside	inside	ADP
cana-1633	89	30	a	a	DET
cana-1633	89	31	certain	certain	ADJ
cana-1633	89	32	recurrence	recurrence	NOUN
cana-1633	89	33	run	run	NOUN
cana-1633	89	34	pass	pass	VERB
cana-1633	89	35	through	through	ADP
cana-1633	89	36	whereas	whereas	SCONJ
cana-1633	89	37	debilitating	debilitate	VERB
cana-1633	89	38	frequencies	frequency	NOUN
cana-1633	89	39	exterior	exterior	ADJ
cana-1633	89	40	of	of	ADP
cana-1633	89	41	this	this	DET
cana-1633	89	42	run	run	NOUN
cana-1633	89	43	.	.	PUNCT
cana-1633	90	1	𝐻𝐵𝑃(𝑓	𝐻𝐵𝑃(𝑓	X
cana-1633	90	2	)	)	PUNCT
cana-1633	90	3	=	=	PRON
cana-1633	90	4	{	{	PUNCT
cana-1633	90	5	1	1	NUM
cana-1633	90	6	if	if	SCONJ
cana-1633	90	7	𝑓1	𝑓1	PROPN
cana-1633	90	8	≤∣	≤∣	PROPN
cana-1633	90	9	f	f	PROPN
cana-1633	90	10	∣≤	∣≤	NUM
cana-1633	90	11	𝑓2	𝑓2	NOUN
cana-1633	90	12	0	0	NUM
cana-1633	90	13	𝑜𝑡ℎ𝑒𝑟𝑤𝑖𝑠𝑒	𝑜𝑡ℎ𝑒𝑟𝑤𝑖𝑠𝑒	NOUN
cana-1633	90	14	where	where	SCONJ
cana-1633	90	15	𝑓1	𝑓1	PROPN
cana-1633	90	16	and	and	CCONJ
cana-1633	90	17	𝑓2	𝑓2	NOUN
cana-1633	90	18	define	define	VERB
cana-1633	90	19	the	the	DET
cana-1633	90	20	band	band	NOUN
cana-1633	90	21	of	of	ADP
cana-1633	90	22	frequencies	frequency	NOUN
cana-1633	90	23	that	that	PRON
cana-1633	90	24	the	the	DET
cana-1633	90	25	filter	filter	NOUN
cana-1633	90	26	allows	allow	VERB
cana-1633	90	27	to	to	PART
cana-1633	90	28	pass	pass	VERB
cana-1633	90	29	.	.	PUNCT
cana-1633	91	1	communications	communication	NOUN
cana-1633	91	2	on	on	ADP
cana-1633	91	3	applied	apply	VERB
cana-1633	91	4	nonlinear	nonlinear	ADJ
cana-1633	91	5	analysis	analysis	NOUN
cana-1633	91	6	issn	issn	NOUN
cana-1633	91	7	:	:	PUNCT
cana-1633	91	8	1074	1074	NUM
cana-1633	91	9	-	-	PUNCT
cana-1633	91	10	133x	133x	NUM
cana-1633	91	11	vol	vol	NOUN
cana-1633	91	12	32	32	NUM
cana-1633	91	13	no	no	NOUN
cana-1633	91	14	.	.	NOUN
cana-1633	91	15	1	1	NUM
cana-1633	91	16	(	(	PUNCT
cana-1633	91	17	2025	2025	NUM
cana-1633	91	18	)	)	PUNCT
cana-1633	91	19	231	231	NUM
cana-1633	91	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-1633	91	21	2	2	NUM
cana-1633	91	22	.	.	PUNCT
cana-1633	91	23	normalization	normalization	NOUN
cana-1633	91	24	:	:	PUNCT
cana-1633	91	25	when	when	SCONJ
cana-1633	91	26	a	a	DET
cana-1633	91	27	flag	flag	NOUN
cana-1633	91	28	is	be	AUX
cana-1633	91	29	normalized	normalize	VERB
cana-1633	91	30	,	,	PUNCT
cana-1633	91	31	its	its	PRON
cana-1633	91	32	escalated	escalate	VERB
cana-1633	91	33	is	be	AUX
cana-1633	91	34	set	set	VERB
cana-1633	91	35	to	to	ADP
cana-1633	91	36	a	a	DET
cana-1633	91	37	standard	standard	ADJ
cana-1633	91	38	run	run	NOUN
cana-1633	91	39	,	,	PUNCT
cana-1633	91	40	more	more	ADV
cana-1633	91	41	often	often	ADV
cana-1633	91	42	than	than	ADP
cana-1633	91	43	not	not	PART
cana-1633	91	44	between	between	ADP
cana-1633	91	45	-1	-1	PUNCT
cana-1633	91	46	and	and	CCONJ
cana-1633	91	47	1	1	NUM
cana-1633	91	48	or	or	CCONJ
cana-1633	91	49	and	and	CCONJ
cana-1633	91	50	1	1	NUM
cana-1633	91	51	.	.	X
cana-1633	92	1	this	this	DET
cana-1633	92	2	handle	handle	NOUN
cana-1633	92	3	makes	make	VERB
cana-1633	92	4	beyond	beyond	ADP
cana-1633	92	5	any	any	DET
cana-1633	92	6	doubt	doubt	NOUN
cana-1633	92	7	that	that	SCONJ
cana-1633	92	8	everything	everything	PRON
cana-1633	92	9	is	be	AUX
cana-1633	92	10	reliable	reliable	ADJ
cana-1633	92	11	and	and	CCONJ
cana-1633	92	12	makes	make	VERB
cana-1633	92	13	the	the	DET
cana-1633	92	14	following	follow	VERB
cana-1633	92	15	steps	step	NOUN
cana-1633	92	16	in	in	ADP
cana-1633	92	17	flag	flag	NOUN
cana-1633	92	18	preparing	prepare	VERB
cana-1633	92	19	work	work	NOUN
cana-1633	92	20	way	way	ADV
cana-1633	92	21	better	well	ADV
cana-1633	92	22	.	.	PUNCT
cana-1633	93	1	let	let	VERB
cana-1633	93	2	𝑥[𝑛	𝑥[𝑛	NOUN
cana-1633	93	3	]	]	PUNCT
cana-1633	93	4	be	be	AUX
cana-1633	93	5	the	the	DET
cana-1633	93	6	input	input	NOUN
cana-1633	93	7	signal	signal	NOUN
cana-1633	93	8	and	and	CCONJ
cana-1633	93	9	𝑥𝑛𝑜𝑟𝑚[𝑛	𝑥𝑛𝑜𝑟𝑚[𝑛	NOUN
cana-1633	93	10	]	]	PUNCT
cana-1633	93	11	be	be	VERB
cana-1633	93	12	the	the	DET
cana-1633	93	13	normalized	normalize	VERB
cana-1633	93	14	signal	signal	NOUN
cana-1633	93	15	.	.	PUNCT
cana-1633	94	1	𝑥𝑛𝑜𝑟𝑚[𝑛	𝑥𝑛𝑜𝑟𝑚[𝑛	X
cana-1633	94	2	]	]	X
cana-1633	94	3	=	=	SYM
cana-1633	94	4	𝑥[𝑛	𝑥[𝑛	NOUN
cana-1633	94	5	]	]	X
cana-1633	94	6	−	−	PROPN
cana-1633	94	7	min⁡(𝑥	min⁡(𝑥	NUM
cana-1633	94	8	)	)	PUNCT
cana-1633	94	9	max(𝑥	max(𝑥	NOUN
cana-1633	94	10	)	)	PUNCT
cana-1633	94	11	−	−	PROPN
cana-1633	94	12	min⁡(𝑥	min⁡(𝑥	NUM
cana-1633	94	13	)	)	PUNCT
cana-1633	94	14	where	where	SCONJ
cana-1633	94	15	𝑚𝑖𝑛⁡(𝑥	𝑚𝑖𝑛⁡(𝑥	NOUN
cana-1633	94	16	)	)	PUNCT
cana-1633	94	17	and	and	CCONJ
cana-1633	94	18	𝑚𝑎𝑥⁡(𝑥	𝑚𝑎𝑥⁡(𝑥	NUM
cana-1633	94	19	)	)	PUNCT
cana-1633	94	20	are	be	AUX
cana-1633	94	21	the	the	DET
cana-1633	94	22	minimum	minimum	ADJ
cana-1633	94	23	and	and	CCONJ
cana-1633	94	24	maximum	maximum	ADJ
cana-1633	94	25	values	value	NOUN
cana-1633	94	26	of	of	ADP
cana-1633	94	27	the	the	DET
cana-1633	94	28	signal	signal	NOUN
cana-1633	94	29	𝑥[𝑛	𝑥[𝑛	NOUN
cana-1633	94	30	]	]	PUNCT
cana-1633	94	31	.	.	PUNCT
cana-1633	95	1	3	3	X
cana-1633	95	2	.	.	X
cana-1633	95	3	de	de	ADJ
cana-1633	95	4	-	-	NOUN
cana-1633	95	5	noising	noising	ADJ
cana-1633	95	6	:	:	PUNCT
cana-1633	95	7	de	de	ADJ
cana-1633	95	8	-	-	ADJ
cana-1633	95	9	noising	noising	ADJ
cana-1633	95	10	strategies	strategy	NOUN
cana-1633	95	11	are	be	AUX
cana-1633	95	12	utilized	utilize	VERB
cana-1633	95	13	to	to	PART
cana-1633	95	14	cut	cut	VERB
cana-1633	95	15	down	down	ADP
cana-1633	95	16	on	on	ADP
cana-1633	95	17	flag	flag	NOUN
cana-1633	95	18	commotion	commotion	NOUN
cana-1633	95	19	whereas	whereas	SCONJ
cana-1633	95	20	keeping	keep	VERB
cana-1633	95	21	critical	critical	ADJ
cana-1633	95	22	parts	part	NOUN
cana-1633	95	23	of	of	ADP
cana-1633	95	24	the	the	DET
cana-1633	95	25	flag	flag	NOUN
cana-1633	95	26	.	.	PUNCT
cana-1633	96	1	moving	move	VERB
cana-1633	96	2	normal	normal	ADJ
cana-1633	96	3	sifting	sifting	NOUN
cana-1633	96	4	and	and	CCONJ
cana-1633	96	5	middle	middle	ADJ
cana-1633	96	6	sifting	sifting	NOUN
cana-1633	96	7	are	be	AUX
cana-1633	96	8	two	two	NUM
cana-1633	96	9	prevalent	prevalent	ADJ
cana-1633	96	10	ways	way	NOUN
cana-1633	96	11	to	to	PART
cana-1633	96	12	do	do	VERB
cana-1633	96	13	this	this	PRON
cana-1633	96	14	.	.	PUNCT
cana-1633	97	1	middle	middle	ADJ
cana-1633	97	2	sifting	sifting	NOUN
cana-1633	97	3	replaces	replace	VERB
cana-1633	97	4	each	each	DET
cana-1633	97	5	test	test	NOUN
cana-1633	97	6	with	with	ADP
cana-1633	97	7	the	the	DET
cana-1633	97	8	center	center	NOUN
cana-1633	97	9	esteem	esteem	NOUN
cana-1633	97	10	of	of	ADP
cana-1633	97	11	the	the	DET
cana-1633	97	12	tests	test	NOUN
cana-1633	97	13	that	that	PRON
cana-1633	97	14	are	be	AUX
cana-1633	97	15	near	near	ADJ
cana-1633	97	16	to	to	ADP
cana-1633	97	17	it	it	PRON
cana-1633	97	18	.	.	PUNCT
cana-1633	98	1	𝑦[𝑛	𝑦[𝑛	NOUN
cana-1633	98	2	]	]	X
cana-1633	99	1	=	=	SYM
cana-1633	99	2	𝑚𝑒𝑑𝑖𝑎𝑛(𝑥[𝑛	𝑚𝑒𝑑𝑖𝑎𝑛(𝑥[𝑛	NUM
cana-1633	99	3	−	−	NOUN
cana-1633	99	4	𝑘	𝑘	X
cana-1633	99	5	]	]	X
cana-1633	99	6	,	,	PUNCT
cana-1633	99	7	…	…	PUNCT
cana-1633	99	8	,	,	PUNCT
cana-1633	99	9	𝑥[𝑛	𝑥[𝑛	NOUN
cana-1633	99	10	]	]	X
cana-1633	99	11	,	,	PUNCT
cana-1633	99	12	…	…	PUNCT
cana-1633	99	13	,	,	PUNCT
cana-1633	99	14	𝑥[𝑛	𝑥[𝑛	NOUN
cana-1633	100	1	+	+	CCONJ
cana-1633	100	2	𝑘	𝑘	X
cana-1633	100	3	]	]	X
cana-1633	100	4	)	)	PUNCT
cana-1633	100	5	where	where	SCONJ
cana-1633	100	6	2𝑘	2𝑘	NUM
cana-1633	100	7	+	+	CCONJ
cana-1633	100	8	1	1	NUM
cana-1633	100	9	is	be	AUX
cana-1633	100	10	the	the	DET
cana-1633	100	11	window	window	NOUN
cana-1633	100	12	size	size	NOUN
cana-1633	100	13	.	.	PUNCT
cana-1633	101	1	moving	move	VERB
cana-1633	101	2	average	average	ADJ
cana-1633	101	3	filtering	filtering	NOUN
cana-1633	101	4	:	:	PUNCT
cana-1633	101	5	averages	average	VERB
cana-1633	101	6	a	a	DET
cana-1633	101	7	set	set	NOUN
cana-1633	101	8	of	of	ADP
cana-1633	101	9	neighboring	neighboring	NOUN
cana-1633	101	10	samples	sample	NOUN
cana-1633	101	11	to	to	PART
cana-1633	101	12	smooth	smooth	VERB
cana-1633	101	13	the	the	DET
cana-1633	101	14	signal	signal	NOUN
cana-1633	101	15	.	.	PUNCT
cana-1633	102	1	𝑦[𝑛	𝑦[𝑛	NOUN
cana-1633	102	2	]	]	X
cana-1633	103	1	=	=	SYM
cana-1633	103	2	1	1	NUM
cana-1633	103	3	2𝑘	2𝑘	NUM
cana-1633	104	1	+	+	CCONJ
cana-1633	104	2	1	1	NUM
cana-1633	104	3	∑	∑	NOUN
cana-1633	104	4	𝑥[𝑛	𝑥[𝑛	NOUN
cana-1633	104	5	+	+	NOUN
cana-1633	104	6	𝑖	𝑖	X
cana-1633	104	7	]	]	X
cana-1633	104	8	𝑘	𝑘	ADP
cana-1633	104	9	𝑖=−𝑘	𝑖=−𝑘	INTJ
cana-1633	104	10	where	where	SCONJ
cana-1633	104	11	2k+1	2k+1	NOUN
cana-1633	104	12	is	be	AUX
cana-1633	104	13	the	the	DET
cana-1633	104	14	window	window	NOUN
cana-1633	104	15	measure	measure	NOUN
cana-1633	104	16	.	.	PUNCT
cana-1633	105	1	sifting	sift	VERB
cana-1633	105	2	,	,	PUNCT
cana-1633	105	3	normalizing	normalizing	ADJ
cana-1633	105	4	,	,	PUNCT
cana-1633	105	5	and	and	CCONJ
cana-1633	105	6	de	de	NOUN
cana-1633	105	7	-	-	ADJ
cana-1633	105	8	noising	noise	VERB
cana-1633	105	9	the	the	DET
cana-1633	105	10	crude	crude	ADJ
cana-1633	105	11	flag	flag	NOUN
cana-1633	105	12	in	in	ADP
cana-1633	105	13	these	these	DET
cana-1633	105	14	steps	step	NOUN
cana-1633	105	15	makes	make	VERB
cana-1633	105	16	it	it	PRON
cana-1633	105	17	prepared	prepare	VERB
cana-1633	105	18	for	for	ADP
cana-1633	105	19	assist	assist	NOUN
cana-1633	105	20	examination	examination	NOUN
cana-1633	105	21	,	,	PUNCT
cana-1633	105	22	which	which	PRON
cana-1633	105	23	progresses	progress	VERB
cana-1633	105	24	the	the	DET
cana-1633	105	25	exactness	exactness	NOUN
cana-1633	105	26	and	and	CCONJ
cana-1633	105	27	constancy	constancy	NOUN
cana-1633	105	28	of	of	ADP
cana-1633	105	29	afterward	afterward	ADJ
cana-1633	105	30	flag	flag	NOUN
cana-1633	105	31	handling	handling	NOUN
cana-1633	105	32	occupations	occupation	NOUN
cana-1633	105	33	.	.	PUNCT
cana-1633	106	1	figure	figure	NOUN
cana-1633	106	2	1	1	NUM
cana-1633	106	3	:	:	PUNCT
cana-1633	106	4	block	block	NOUN
cana-1633	106	5	diagram	diagram	NOUN
cana-1633	106	6	for	for	ADP
cana-1633	106	7	enhancing	enhance	VERB
cana-1633	106	8	signal	signal	NOUN
cana-1633	106	9	processing	processing	NOUN
cana-1633	106	10	4	4	NUM
cana-1633	106	11	.	.	PUNCT
cana-1633	106	12	frequency	frequency	NOUN
cana-1633	106	13	domain	domain	NOUN
cana-1633	106	14	analysis	analysis	NOUN
cana-1633	106	15	the	the	DET
cana-1633	106	16	fourier	fourier	NOUN
cana-1633	106	17	change	change	NOUN
cana-1633	106	18	(	(	PUNCT
cana-1633	106	19	ft	ft	NOUN
cana-1633	106	20	)	)	PUNCT
cana-1633	106	21	could	could	AUX
cana-1633	106	22	be	be	AUX
cana-1633	106	23	a	a	DET
cana-1633	106	24	scientific	scientific	ADJ
cana-1633	106	25	method	method	NOUN
cana-1633	106	26	for	for	ADP
cana-1633	106	27	turning	turn	VERB
cana-1633	106	28	a	a	DET
cana-1633	106	29	flag	flag	NOUN
cana-1633	106	30	that	that	PRON
cana-1633	106	31	's	be	AUX
cana-1633	106	32	within	within	ADP
cana-1633	106	33	the	the	DET
cana-1633	106	34	time	time	NOUN
cana-1633	106	35	space	space	NOUN
cana-1633	106	36	into	into	ADP
cana-1633	106	37	a	a	DET
cana-1633	106	38	flag	flag	NOUN
cana-1633	106	39	that	that	PRON
cana-1633	106	40	's	be	AUX
cana-1633	106	41	within	within	ADP
cana-1633	106	42	the	the	DET
cana-1633	106	43	recurrence	recurrence	NOUN
cana-1633	106	44	space	space	NOUN
cana-1633	106	45	.	.	PUNCT
cana-1633	107	1	it	it	PRON
cana-1633	107	2	breaks	break	VERB
cana-1633	107	3	down	down	ADP
cana-1633	107	4	a	a	DET
cana-1633	107	5	flag	flag	NOUN
cana-1633	107	6	into	into	ADP
cana-1633	107	7	its	its	PRON
cana-1633	107	8	person	person	NOUN
cana-1633	107	9	frequencies	frequency	NOUN
cana-1633	107	10	,	,	PUNCT
cana-1633	107	11	giving	give	VERB
cana-1633	107	12	data	datum	NOUN
cana-1633	107	13	approximately	approximately	ADV
cana-1633	107	14	the	the	DET
cana-1633	107	15	frequencies	frequency	NOUN
cana-1633	107	16	that	that	PRON
cana-1633	107	17	are	be	AUX
cana-1633	107	18	display	display	NOUN
cana-1633	107	19	within	within	ADP
cana-1633	107	20	the	the	DET
cana-1633	107	21	flag	flag	NOUN
cana-1633	107	22	.	.	PUNCT
cana-1633	108	1	continuous	continuous	ADJ
cana-1633	108	2	fourier	fourier	NOUN
cana-1633	108	3	transform	transform	NOUN
cana-1633	108	4	:	:	PUNCT
cana-1633	108	5	communications	communication	NOUN
cana-1633	108	6	on	on	ADP
cana-1633	108	7	applied	apply	VERB
cana-1633	108	8	nonlinear	nonlinear	ADJ
cana-1633	108	9	analysis	analysis	NOUN
cana-1633	108	10	issn	issn	NOUN
cana-1633	108	11	:	:	PUNCT
cana-1633	108	12	1074	1074	NUM
cana-1633	108	13	-	-	PUNCT
cana-1633	108	14	133x	133x	NUM
cana-1633	108	15	vol	vol	NOUN
cana-1633	108	16	32	32	NUM
cana-1633	108	17	no	no	NOUN
cana-1633	108	18	.	.	NOUN
cana-1633	108	19	1	1	NUM
cana-1633	108	20	(	(	PUNCT
cana-1633	108	21	2025	2025	NUM
cana-1633	108	22	)	)	PUNCT
cana-1633	108	23	232	232	NUM
cana-1633	108	24	https://internationalpubls.com	https://internationalpubls.com	X
cana-1633	108	25	𝑋(𝑓	𝑋(𝑓	NOUN
cana-1633	108	26	)	)	PUNCT
cana-1633	108	27	=	=	SYM
cana-1633	108	28	∫	∫	PROPN
cana-1633	109	1	𝑥(𝑡)𝑒−𝑗2𝜋𝑓𝑡	𝑥(𝑡)𝑒−𝑗2𝜋𝑓𝑡	PROPN
cana-1633	109	2	∞	∞	PROPN
cana-1633	109	3	−∞	−∞	ADP
cana-1633	109	4	𝑑𝑡	𝑑𝑡	ADP
cana-1633	109	5	where	where	SCONJ
cana-1633	109	6	𝑋(𝑓	𝑋(𝑓	VERB
cana-1633	109	7	)	)	PUNCT
cana-1633	109	8	is	be	AUX
cana-1633	109	9	the	the	DET
cana-1633	109	10	fourier	fourier	ADJ
cana-1633	109	11	transform	transform	NOUN
cana-1633	109	12	of	of	ADP
cana-1633	109	13	the	the	DET
cana-1633	109	14	signal	signal	ADJ
cana-1633	109	15	𝑥(𝑡	𝑥(𝑡	NUM
cana-1633	109	16	)	)	PUNCT
cana-1633	109	17	,	,	PUNCT
cana-1633	109	18	f	f	PROPN
cana-1633	109	19	is	be	AUX
cana-1633	109	20	the	the	DET
cana-1633	109	21	frequency	frequency	NOUN
cana-1633	109	22	,	,	PUNCT
cana-1633	109	23	and	and	CCONJ
cana-1633	109	24	j	j	PROPN
cana-1633	109	25	is	be	AUX
cana-1633	109	26	the	the	DET
cana-1633	109	27	imaginary	imaginary	ADJ
cana-1633	109	28	unit	unit	NOUN
cana-1633	109	29	.	.	PUNCT
cana-1633	110	1	discrete	discrete	ADJ
cana-1633	110	2	fourier	fourier	NOUN
cana-1633	110	3	transform	transform	NOUN
cana-1633	110	4	(	(	PUNCT
cana-1633	110	5	dft	dft	NOUN
cana-1633	110	6	):	):	PUNCT
cana-1633	110	7	𝑋[𝑘	𝑋[𝑘	PROPN
cana-1633	110	8	]	]	X
cana-1633	110	9	=	=	SYM
cana-1633	110	10	∑	∑	PUNCT
cana-1633	110	11	𝑥[𝑛]𝑒−𝑗	𝑥[𝑛]𝑒−𝑗	NOUN
cana-1633	110	12	2𝜋	2𝜋	NOUN
cana-1633	110	13	𝑁	𝑁	NOUN
cana-1633	110	14	𝑘𝑛	𝑘𝑛	PRON
cana-1633	110	15	𝑁−1	𝑁−1	NOUN
cana-1633	110	16	𝑛=0	𝑛=0	PROPN
cana-1633	110	17	where	where	SCONJ
cana-1633	110	18	x[k	x[k	NOUN
cana-1633	110	19	]	]	X
cana-1633	110	20	is	be	AUX
cana-1633	110	21	the	the	DET
cana-1633	110	22	dft	dft	NOUN
cana-1633	110	23	of	of	ADP
cana-1633	110	24	the	the	DET
cana-1633	110	25	discrete	discrete	ADJ
cana-1633	110	26	flag	flag	NOUN
cana-1633	110	27	x[n	x[n	PROPN
cana-1633	110	28	]	]	PUNCT
cana-1633	110	29	,	,	PUNCT
cana-1633	110	30	n	n	X
cana-1633	110	31	is	be	AUX
cana-1633	110	32	the	the	DET
cana-1633	110	33	number	number	NOUN
cana-1633	110	34	of	of	ADP
cana-1633	110	35	tests	test	NOUN
cana-1633	110	36	,	,	PUNCT
cana-1633	110	37	and	and	CCONJ
cana-1633	110	38	k	k	PROPN
cana-1633	110	39	is	be	AUX
cana-1633	110	40	the	the	DET
cana-1633	110	41	recurrence	recurrence	NOUN
cana-1633	110	42	record	record	NOUN
cana-1633	110	43	.	.	PUNCT
cana-1633	111	1	discover	discover	VERB
cana-1633	111	2	and	and	CCONJ
cana-1633	111	3	isolated	isolated	ADJ
cana-1633	111	4	recurrence	recurrence	NOUN
cana-1633	111	5	components	component	NOUN
cana-1633	111	6	:	:	PUNCT
cana-1633	111	7	once	once	SCONJ
cana-1633	111	8	the	the	DET
cana-1633	111	9	flag	flag	NOUN
cana-1633	111	10	has	have	AUX
cana-1633	111	11	been	be	AUX
cana-1633	111	12	changed	change	VERB
cana-1633	111	13	into	into	ADP
cana-1633	111	14	the	the	DET
cana-1633	111	15	recurrence	recurrence	NOUN
cana-1633	111	16	space	space	NOUN
cana-1633	111	17	,	,	PUNCT
cana-1633	111	18	the	the	DET
cana-1633	111	19	following	follow	VERB
cana-1633	111	20	step	step	NOUN
cana-1633	111	21	is	be	AUX
cana-1633	111	22	to	to	PART
cana-1633	111	23	discover	discover	VERB
cana-1633	111	24	and	and	CCONJ
cana-1633	111	25	isolated	isolate	VERB
cana-1633	111	26	the	the	DET
cana-1633	111	27	recurrence	recurrence	NOUN
cana-1633	111	28	components	component	NOUN
cana-1633	111	29	that	that	PRON
cana-1633	111	30	are	be	AUX
cana-1633	111	31	of	of	ADP
cana-1633	111	32	intrigued	intrigue	VERB
cana-1633	111	33	.	.	PUNCT
cana-1633	112	1	to	to	PART
cana-1633	112	2	do	do	VERB
cana-1633	112	3	this	this	PRON
cana-1633	112	4	,	,	PUNCT
cana-1633	112	5	you	you	PRON
cana-1633	112	6	have	have	AUX
cana-1633	112	7	got	get	VERB
cana-1633	112	8	to	to	PART
cana-1633	112	9	see	see	VERB
cana-1633	112	10	at	at	ADP
cana-1633	112	11	the	the	DET
cana-1633	112	12	signal	signal	NOUN
cana-1633	112	13	's	's	PART
cana-1633	112	14	measure	measure	NOUN
cana-1633	112	15	and	and	CCONJ
cana-1633	112	16	stage	stage	NOUN
cana-1633	112	17	run	run	NOUN
cana-1633	112	18	.	.	PUNCT
cana-1633	113	1	•	•	NUM
cana-1633	113	2	the	the	DET
cana-1633	113	3	magnitude	magnitude	NOUN
cana-1633	113	4	spectrum	spectrum	NOUN
cana-1633	113	5	(	(	PUNCT
cana-1633	113	6	x(f	x(f	PROPN
cana-1633	113	7	)	)	PUNCT
cana-1633	113	8	)	)	PUNCT
cana-1633	113	9	displays	display	VERB
cana-1633	113	10	the	the	DET
cana-1633	113	11	strength	strength	NOUN
cana-1633	113	12	of	of	ADP
cana-1633	113	13	each	each	DET
cana-1633	113	14	frequency	frequency	NOUN
cana-1633	113	15	part	part	NOUN
cana-1633	113	16	.	.	PUNCT
cana-1633	114	1	•	•	NUM
cana-1633	114	2	the	the	DET
cana-1633	114	3	phase	phase	NOUN
cana-1633	114	4	change	change	NOUN
cana-1633	114	5	of	of	ADP
cana-1633	114	6	each	each	DET
cana-1633	114	7	frequency	frequency	NOUN
cana-1633	114	8	component	component	NOUN
cana-1633	114	9	is	be	AUX
cana-1633	114	10	shown	show	VERB
cana-1633	114	11	by	by	ADP
cana-1633	114	12	the	the	DET
cana-1633	114	13	phase	phase	NOUN
cana-1633	114	14	spectrum	spectrum	NOUN
cana-1633	114	15	∠x(f	∠x(f	NOUN
cana-1633	114	16	)	)	PUNCT
cana-1633	114	17	.	.	PUNCT
cana-1633	115	1	recurrence	recurrence	NOUN
cana-1633	115	2	space	space	NOUN
cana-1633	115	3	sifting	sifting	NOUN
cana-1633	115	4	:	:	PUNCT
cana-1633	115	5	to	to	PART
cana-1633	115	6	boost	boost	VERB
cana-1633	115	7	or	or	CCONJ
cana-1633	115	8	lower	lower	VERB
cana-1633	115	9	certain	certain	ADJ
cana-1633	115	10	recurrence	recurrence	NOUN
cana-1633	115	11	groups	group	NOUN
cana-1633	115	12	,	,	PUNCT
cana-1633	115	13	recurrence	recurrence	NOUN
cana-1633	115	14	space	space	NOUN
cana-1633	115	15	sifting	sifting	NOUN
cana-1633	115	16	changes	change	VERB
cana-1633	115	17	the	the	DET
cana-1633	115	18	signal	signal	NOUN
cana-1633	115	19	's	's	PART
cana-1633	115	20	recurrence	recurrence	NOUN
cana-1633	115	21	components	component	NOUN
cana-1633	115	22	.	.	PUNCT
cana-1633	116	1	a	a	DET
cana-1633	116	2	few	few	ADJ
cana-1633	116	3	sorts	sort	NOUN
cana-1633	116	4	of	of	ADP
cana-1633	116	5	channels	channel	NOUN
cana-1633	116	6	can	can	AUX
cana-1633	116	7	be	be	AUX
cana-1633	116	8	utilized	utilize	VERB
cana-1633	116	9	to	to	PART
cana-1633	116	10	do	do	VERB
cana-1633	116	11	this	this	PRON
cana-1633	116	12	.	.	PUNCT
cana-1633	117	1	a	a	DET
cana-1633	117	2	low	low	ADJ
cana-1633	117	3	-	-	PUNCT
cana-1633	117	4	pass	pass	NOUN
cana-1633	117	5	channel	channel	NOUN
cana-1633	117	6	keeps	keep	VERB
cana-1633	117	7	sounds	sound	NOUN
cana-1633	117	8	underneath	underneath	ADP
cana-1633	117	9	a	a	DET
cana-1633	117	10	certain	certain	ADJ
cana-1633	117	11	recurrence	recurrence	NOUN
cana-1633	117	12	,	,	PUNCT
cana-1633	117	13	f_c	f_c	PUNCT
cana-1633	117	14	.	.	PUNCT
cana-1633	118	1	𝐻𝐿𝑃(𝑓	𝐻𝐿𝑃(𝑓	NUM
cana-1633	118	2	)	)	PUNCT
cana-1633	118	3	=	=	PRON
cana-1633	118	4	{	{	PUNCT
cana-1633	118	5	1	1	NUM
cana-1633	118	6	𝑖𝑓	𝑖𝑓	NOUN
cana-1633	118	7	∣	∣	PROPN
cana-1633	118	8	𝑓	𝑓	ADV
cana-1633	118	9	∣≤	∣≤	NUM
cana-1633	118	10	𝑓𝑐	𝑓𝑐	ADP
cana-1633	118	11	0	0	NUM
cana-1633	118	12	𝑖𝑓	𝑖𝑓	PROPN
cana-1633	118	13	∣	∣	PROPN
cana-1633	118	14	𝑓	𝑓	DET
cana-1633	118	15	∣	∣	NOUN
cana-1633	118	16	>	>	X
cana-1633	118	17	𝑓𝑐	𝑓𝑐	ADP
cana-1633	118	18	high	high	ADJ
cana-1633	118	19	-	-	PUNCT
cana-1633	118	20	pass	pass	NOUN
cana-1633	118	21	filter	filter	NOUN
cana-1633	118	22	:	:	PUNCT
cana-1633	118	23	retains	retain	VERB
cana-1633	118	24	frequencies	frequency	NOUN
cana-1633	118	25	above	above	ADP
cana-1633	118	26	a	a	DET
cana-1633	118	27	cutoff	cutoff	NOUN
cana-1633	118	28	frequency	frequency	NOUN
cana-1633	118	29	𝑓𝑐.	𝑓𝑐.	NOUN
cana-1633	118	30	𝐻𝐻𝑃(𝑓	𝐻𝐻𝑃(𝑓	PROPN
cana-1633	118	31	)	)	PUNCT
cana-1633	118	32	=	=	PRON
cana-1633	118	33	{	{	PUNCT
cana-1633	118	34	0	0	NUM
cana-1633	118	35	𝑖𝑓	𝑖𝑓	NOUN
cana-1633	118	36	∣	∣	PROPN
cana-1633	118	37	𝑓	𝑓	ADV
cana-1633	118	38	∣≤	∣≤	NUM
cana-1633	118	39	𝑓𝑐	𝑓𝑐	ADP
cana-1633	118	40	1	1	NUM
cana-1633	118	41	𝑖𝑓	𝑖𝑓	NOUN
cana-1633	118	42	∣	∣	PROPN
cana-1633	118	43	𝑓	𝑓	DET
cana-1633	118	44	∣	∣	NOUN
cana-1633	118	45	>	>	X
cana-1633	118	46	𝑓𝑐	𝑓𝑐	ADP
cana-1633	118	47	band	band	NOUN
cana-1633	118	48	-	-	PUNCT
cana-1633	118	49	pass	pass	NOUN
cana-1633	118	50	filter	filter	NOUN
cana-1633	118	51	:	:	PUNCT
cana-1633	118	52	retains	retain	VERB
cana-1633	118	53	frequencies	frequency	NOUN
cana-1633	118	54	within	within	ADP
cana-1633	118	55	a	a	DET
cana-1633	118	56	specific	specific	ADJ
cana-1633	118	57	band	band	NOUN
cana-1633	118	58	[	[	X
cana-1633	118	59	𝑓1,⁡𝑓2	𝑓1,⁡𝑓2	X
cana-1633	118	60	]	]	X
cana-1633	118	61	.	.	PUNCT
cana-1633	119	1	𝐻𝐵𝑃(𝑓	𝐻𝐵𝑃(𝑓	NUM
cana-1633	119	2	)	)	PUNCT
cana-1633	119	3	=	=	PRON
cana-1633	119	4	{	{	PUNCT
cana-1633	119	5	1	1	NUM
cana-1633	119	6	if	if	SCONJ
cana-1633	119	7	𝑓1	𝑓1	PROPN
cana-1633	119	8	≤∣	≤∣	PROPN
cana-1633	119	9	f	f	PROPN
cana-1633	119	10	∣≤	∣≤	NUM
cana-1633	119	11	𝑓2	𝑓2	NOUN
cana-1633	119	12	0	0	NUM
cana-1633	119	13	𝑜𝑡ℎ𝑒𝑟𝑤𝑖𝑠𝑒	𝑜𝑡ℎ𝑒𝑟𝑤𝑖𝑠𝑒	NOUN
cana-1633	119	14	these	these	DET
cana-1633	119	15	sifting	sift	VERB
cana-1633	119	16	strategies	strategy	NOUN
cana-1633	119	17	can	can	AUX
cana-1633	119	18	be	be	AUX
cana-1633	119	19	utilized	utilize	VERB
cana-1633	119	20	to	to	PART
cana-1633	119	21	boost	boost	VERB
cana-1633	119	22	or	or	CCONJ
cana-1633	119	23	lower	lower	VERB
cana-1633	119	24	certain	certain	ADJ
cana-1633	119	25	recurrence	recurrence	NOUN
cana-1633	119	26	components	component	NOUN
cana-1633	119	27	,	,	PUNCT
cana-1633	119	28	which	which	PRON
cana-1633	119	29	lets	let	VERB
cana-1633	119	30	you	you	PRON
cana-1633	119	31	analyze	analyze	VERB
cana-1633	119	32	signals	signal	NOUN
cana-1633	119	33	more	more	ADV
cana-1633	119	34	absolutely	absolutely	ADV
cana-1633	119	35	and	and	CCONJ
cana-1633	119	36	make	make	VERB
cana-1633	119	37	the	the	DET
cana-1633	119	38	quality	quality	NOUN
cana-1633	119	39	of	of	ADP
cana-1633	119	40	the	the	DET
cana-1633	119	41	signals	signal	NOUN
cana-1633	119	42	superior	superior	ADJ
cana-1633	119	43	.	.	PUNCT
cana-1633	120	1	5	5	X
cana-1633	120	2	.	.	NOUN
cana-1633	120	3	time	time	NOUN
cana-1633	120	4	-	-	PUNCT
cana-1633	120	5	frequency	frequency	NOUN
cana-1633	120	6	analysis	analysis	NOUN
cana-1633	120	7	1	1	NUM
cana-1633	120	8	.	.	PUNCT
cana-1633	120	9	wavelet	wavelet	NOUN
cana-1633	120	10	transform	transform	NOUN
cana-1633	120	11	for	for	ADP
cana-1633	120	12	multi	multi	ADJ
cana-1633	120	13	-	-	ADJ
cana-1633	120	14	resolution	resolution	NOUN
cana-1633	120	15	analysis	analysis	NOUN
cana-1633	120	16	:	:	PUNCT
cana-1633	120	17	the	the	DET
cana-1633	120	18	wavelet	wavelet	NOUN
cana-1633	120	19	change	change	NOUN
cana-1633	120	20	(	(	PUNCT
cana-1633	120	21	wt	wt	NOUN
cana-1633	120	22	)	)	PUNCT
cana-1633	120	23	is	be	AUX
cana-1633	120	24	utilized	utilize	VERB
cana-1633	120	25	to	to	PART
cana-1633	120	26	see	see	VERB
cana-1633	120	27	at	at	ADP
cana-1633	120	28	information	information	NOUN
cana-1633	120	29	whose	whose	DET
cana-1633	120	30	recurrence	recurrence	NOUN
cana-1633	120	31	substance	substance	NOUN
cana-1633	120	32	changes	change	NOUN
cana-1633	120	33	over	over	ADP
cana-1633	120	34	time	time	NOUN
cana-1633	120	35	.	.	PUNCT
cana-1633	121	1	as	as	SCONJ
cana-1633	121	2	restricted	restrict	VERB
cana-1633	121	3	to	to	ADP
cana-1633	121	4	the	the	DET
cana-1633	121	5	fourier	fourier	NOUN
cana-1633	121	6	change	change	NOUN
cana-1633	121	7	,	,	PUNCT
cana-1633	121	8	which	which	PRON
cana-1633	121	9	as	as	SCONJ
cana-1633	121	10	it	it	PRON
cana-1633	121	11	were	be	AUX
cana-1633	121	12	appears	appear	VERB
cana-1633	121	13	frequencies	frequency	NOUN
cana-1633	121	14	on	on	ADP
cana-1633	121	15	a	a	DET
cana-1633	121	16	world	world	NOUN
cana-1633	121	17	level	level	NOUN
cana-1633	121	18	,	,	PUNCT
cana-1633	121	19	the	the	DET
cana-1633	121	20	wavelet	wavelet	NOUN
cana-1633	121	21	change	change	NOUN
cana-1633	121	22	can	can	AUX
cana-1633	121	23	see	see	VERB
cana-1633	121	24	at	at	ADP
cana-1633	121	25	both	both	DET
cana-1633	121	26	time	time	NOUN
cana-1633	121	27	and	and	CCONJ
cana-1633	121	28	recurrence	recurrence	NOUN
cana-1633	121	29	at	at	ADP
cana-1633	121	30	diverse	diverse	ADJ
cana-1633	121	31	levels	level	NOUN
cana-1633	121	32	.	.	PUNCT
cana-1633	122	1	continuous	continuous	ADJ
cana-1633	122	2	wavelet	wavelet	NOUN
cana-1633	122	3	transform	transform	NOUN
cana-1633	122	4	(	(	PUNCT
cana-1633	122	5	cwt	cwt	NOUN
cana-1633	122	6	):	):	PUNCT
cana-1633	122	7	communications	communication	NOUN
cana-1633	122	8	on	on	ADP
cana-1633	122	9	applied	apply	VERB
cana-1633	122	10	nonlinear	nonlinear	ADJ
cana-1633	122	11	analysis	analysis	NOUN
cana-1633	122	12	issn	issn	NOUN
cana-1633	122	13	:	:	PUNCT
cana-1633	122	14	1074	1074	NUM
cana-1633	122	15	-	-	PUNCT
cana-1633	122	16	133x	133x	NUM
cana-1633	122	17	vol	vol	NOUN
cana-1633	122	18	32	32	NUM
cana-1633	122	19	no	no	NOUN
cana-1633	122	20	.	.	NOUN
cana-1633	122	21	1	1	NUM
cana-1633	122	22	(	(	PUNCT
cana-1633	122	23	2025	2025	NUM
cana-1633	122	24	)	)	PUNCT
cana-1633	122	25	233	233	NUM
cana-1633	122	26	https://internationalpubls.com	https://internationalpubls.com	X
cana-1633	122	27	𝑊𝑥(𝑎	𝑊𝑥(𝑎	NOUN
cana-1633	122	28	,	,	PUNCT
cana-1633	122	29	𝑏	𝑏	NOUN
cana-1633	122	30	)	)	PUNCT
cana-1633	122	31	=	=	SYM
cana-1633	122	32	∫	∫	PROPN
cana-1633	122	33	𝑥(𝑡)𝜓∗	𝑥(𝑡)𝜓∗	PROPN
cana-1633	122	34	(	(	PUNCT
cana-1633	122	35	𝑡	𝑡	PROPN
cana-1633	122	36	−	−	NOUN
cana-1633	122	37	𝑏	𝑏	NOUN
cana-1633	122	38	𝑎	𝑎	X
cana-1633	122	39	)	)	PUNCT
cana-1633	122	40	∞	∞	PROPN
cana-1633	122	41	−∞	−∞	ADP
cana-1633	122	42	where	where	SCONJ
cana-1633	122	43	𝑊𝑥(𝑎	𝑊𝑥(𝑎	NOUN
cana-1633	122	44	,	,	PUNCT
cana-1633	122	45	𝑏	𝑏	NOUN
cana-1633	122	46	)	)	PUNCT
cana-1633	122	47	is	be	AUX
cana-1633	122	48	the	the	DET
cana-1633	122	49	wavelet	wavelet	NOUN
cana-1633	122	50	coefficient	coefficient	NOUN
cana-1633	122	51	,	,	PUNCT
cana-1633	122	52	𝑥(𝑡	𝑥(𝑡	PROPN
cana-1633	122	53	)	)	PUNCT
cana-1633	122	54	is	be	AUX
cana-1633	122	55	the	the	DET
cana-1633	122	56	signal	signal	NOUN
cana-1633	122	57	,	,	PUNCT
cana-1633	122	58	𝜓(𝑡	𝜓(𝑡	PROPN
cana-1633	122	59	)	)	PUNCT
cana-1633	122	60	is	be	AUX
cana-1633	122	61	the	the	DET
cana-1633	122	62	mother	mother	NOUN
cana-1633	122	63	wavelet	wavelet	NOUN
cana-1633	122	64	,	,	PUNCT
cana-1633	122	65	a	a	PRON
cana-1633	122	66	is	be	AUX
cana-1633	122	67	the	the	DET
cana-1633	122	68	scale	scale	NOUN
cana-1633	122	69	parameter	parameter	NOUN
cana-1633	122	70	,	,	PUNCT
cana-1633	122	71	b	b	PROPN
cana-1633	122	72	is	be	AUX
cana-1633	122	73	the	the	DET
cana-1633	122	74	translation	translation	NOUN
cana-1633	122	75	parameter	parameter	NOUN
cana-1633	122	76	,	,	PUNCT
cana-1633	122	77	and	and	CCONJ
cana-1633	122	78	𝜓	𝜓	PROPN
cana-1633	122	79	∗	∗	NOUN
cana-1633	122	80	denotes	denote	VERB
cana-1633	122	81	the	the	DET
cana-1633	122	82	complex	complex	ADJ
cana-1633	122	83	conjugate	conjugate	NOUN
cana-1633	122	84	of	of	ADP
cana-1633	122	85	𝜓.	𝜓.	PROPN
cana-1633	122	86	2	2	NUM
cana-1633	122	87	.	.	PUNCT
cana-1633	122	88	decompose	decompose	VERB
cana-1633	122	89	the	the	DET
cana-1633	122	90	signal	signal	NOUN
cana-1633	122	91	into	into	ADP
cana-1633	122	92	wavelets	wavelet	NOUN
cana-1633	122	93	:	:	PUNCT
cana-1633	122	94	the	the	DET
cana-1633	122	95	data	datum	NOUN
cana-1633	122	96	is	be	AUX
cana-1633	122	97	broken	break	VERB
cana-1633	122	98	up	up	ADP
cana-1633	122	99	into	into	ADP
cana-1633	122	100	wavelets	wavelet	NOUN
cana-1633	122	101	,	,	PUNCT
cana-1633	122	102	which	which	PRON
cana-1633	122	103	are	be	AUX
cana-1633	122	104	duplicates	duplicate	NOUN
cana-1633	122	105	of	of	ADP
cana-1633	122	106	the	the	DET
cana-1633	122	107	mother	mother	NOUN
cana-1633	122	108	wavelet	wavelet	NOUN
cana-1633	122	109	that	that	PRON
cana-1633	122	110	have	have	AUX
cana-1633	122	111	been	be	AUX
cana-1633	122	112	scaled	scale	VERB
cana-1633	122	113	and	and	CCONJ
cana-1633	122	114	deciphered	decipher	VERB
cana-1633	122	115	.	.	PUNCT
cana-1633	123	1	this	this	DET
cana-1633	123	2	lessening	lessening	NOUN
cana-1633	123	3	lets	let	VERB
cana-1633	123	4	you	you	PRON
cana-1633	123	5	record	record	VERB
cana-1633	123	6	both	both	CCONJ
cana-1633	123	7	high	high	ADJ
cana-1633	123	8	-	-	PUNCT
cana-1633	123	9	frequency	frequency	NOUN
cana-1633	123	10	temporal	temporal	ADJ
cana-1633	123	11	highlights	highlight	NOUN
cana-1633	123	12	and	and	CCONJ
cana-1633	123	13	low	low	ADJ
cana-1633	123	14	-	-	PUNCT
cana-1633	123	15	frequency	frequency	NOUN
cana-1633	123	16	components	component	NOUN
cana-1633	123	17	,	,	PUNCT
cana-1633	123	18	giving	give	VERB
cana-1633	123	19	you	you	PRON
cana-1633	123	20	a	a	DET
cana-1633	123	21	full	full	ADJ
cana-1633	123	22	picture	picture	NOUN
cana-1633	123	23	of	of	ADP
cana-1633	123	24	the	the	DET
cana-1633	123	25	time	time	NOUN
cana-1633	123	26	-	-	PUNCT
cana-1633	123	27	frequency	frequency	NOUN
cana-1633	123	28	relationship	relationship	NOUN
cana-1633	123	29	.	.	PUNCT
cana-1633	124	1	•	•	NUM
cana-1633	124	2	discrete	discrete	ADJ
cana-1633	124	3	wavelet	wavelet	NOUN
cana-1633	124	4	transform	transform	NOUN
cana-1633	124	5	(	(	PUNCT
cana-1633	124	6	dwt	dwt	NOUN
cana-1633	124	7	):	):	PUNCT
cana-1633	124	8	𝑊𝑗,𝑘	𝑊𝑗,𝑘	PROPN
cana-1633	124	9	=	=	PUNCT
cana-1633	124	10	∑	∑	PUNCT
cana-1633	124	11	𝑥[𝑛]𝜓𝑗,𝑘[𝑛	𝑥[𝑛]𝜓𝑗,𝑘[𝑛	PROPN
cana-1633	124	12	]	]	PUNCT
cana-1633	124	13	𝑁−1	𝑁−1	NOUN
cana-1633	124	14	𝑛=0	𝑛=0	NOUN
cana-1633	124	15	where	where	SCONJ
cana-1633	124	16	𝑊𝑗,𝑘	𝑊𝑗,𝑘	PROPN
cana-1633	124	17	is	be	AUX
cana-1633	124	18	the	the	DET
cana-1633	124	19	wavelet	wavelet	NOUN
cana-1633	124	20	coefficient	coefficient	NOUN
cana-1633	124	21	at	at	ADP
cana-1633	124	22	scale	scale	NOUN
cana-1633	124	23	j	j	PROPN
cana-1633	124	24	and	and	CCONJ
cana-1633	124	25	position	position	NOUN
cana-1633	124	26	k	k	PROPN
cana-1633	124	27	,	,	PUNCT
cana-1633	124	28	and	and	CCONJ
cana-1633	124	29	𝜓𝑗,𝑘	𝜓𝑗,𝑘	VERB
cana-1633	124	30	is	be	AUX
cana-1633	124	31	the	the	DET
cana-1633	124	32	discrete	discrete	ADJ
cana-1633	124	33	wavelet	wavelet	NOUN
cana-1633	124	34	function	function	NOUN
cana-1633	124	35	.	.	PUNCT
cana-1633	125	1	3	3	X
cana-1633	125	2	.	.	X
cana-1633	125	3	identify	identify	VERB
cana-1633	125	4	transient	transient	ADJ
cana-1633	125	5	features	feature	NOUN
cana-1633	125	6	:	:	PUNCT
cana-1633	125	7	wavelet	wavelet	NOUN
cana-1633	125	8	coefficients	coefficient	NOUN
cana-1633	125	9	appear	appear	VERB
cana-1633	125	10	highlights	highlight	NOUN
cana-1633	125	11	that	that	PRON
cana-1633	125	12	alter	alter	VERB
cana-1633	125	13	rapidly	rapidly	ADV
cana-1633	125	14	and	and	CCONJ
cana-1633	125	15	where	where	SCONJ
cana-1633	125	16	they	they	PRON
cana-1633	125	17	are	be	AUX
cana-1633	125	18	within	within	ADP
cana-1633	125	19	the	the	DET
cana-1633	125	20	time	time	NOUN
cana-1633	125	21	and	and	CCONJ
cana-1633	125	22	recurrence	recurrence	NOUN
cana-1633	125	23	spaces	space	NOUN
cana-1633	125	24	.	.	PUNCT
cana-1633	126	1	this	this	PRON
cana-1633	126	2	makes	make	VERB
cana-1633	126	3	it	it	PRON
cana-1633	126	4	conceivable	conceivable	ADJ
cana-1633	126	5	to	to	PART
cana-1633	126	6	accurately	accurately	ADV
cana-1633	126	7	discover	discover	VERB
cana-1633	126	8	and	and	CCONJ
cana-1633	126	9	analyze	analyze	VERB
cana-1633	126	10	flag	flag	NOUN
cana-1633	126	11	highlights	highlight	NOUN
cana-1633	126	12	that	that	PRON
cana-1633	126	13	do	do	AUX
cana-1633	126	14	not	not	PART
cana-1633	126	15	remain	remain	VERB
cana-1633	126	16	in	in	ADP
cana-1633	126	17	one	one	NUM
cana-1633	126	18	put	put	NOUN
cana-1633	126	19	.	.	PUNCT
cana-1633	127	1	time	time	NOUN
cana-1633	127	2	-	-	PUNCT
cana-1633	127	3	frequency	frequency	NOUN
cana-1633	127	4	investigation	investigation	NOUN
cana-1633	127	5	employments	employment	NOUN
cana-1633	127	6	the	the	DET
cana-1633	127	7	wavelet	wavelet	NOUN
cana-1633	127	8	change	change	NOUN
cana-1633	127	9	to	to	PART
cana-1633	127	10	donate	donate	VERB
cana-1633	127	11	a	a	DET
cana-1633	127	12	clear	clear	ADJ
cana-1633	127	13	and	and	CCONJ
cana-1633	127	14	centered	center	VERB
cana-1633	127	15	picture	picture	NOUN
cana-1633	127	16	of	of	ADP
cana-1633	127	17	flag	flag	NOUN
cana-1633	127	18	highlights	highlight	NOUN
cana-1633	127	19	.	.	PUNCT
cana-1633	128	1	this	this	PRON
cana-1633	128	2	makes	make	VERB
cana-1633	128	3	it	it	PRON
cana-1633	128	4	conceivable	conceivable	ADJ
cana-1633	128	5	to	to	PART
cana-1633	128	6	analyze	analyze	VERB
cana-1633	128	7	signals	signal	NOUN
cana-1633	128	8	whose	whose	DET
cana-1633	128	9	recurrence	recurrence	NOUN
cana-1633	128	10	substance	substance	NOUN
cana-1633	128	11	changes	change	NOUN
cana-1633	128	12	over	over	ADP
cana-1633	128	13	time	time	NOUN
cana-1633	128	14	.	.	PUNCT
cana-1633	129	1	6	6	X
cana-1633	129	2	.	.	X
cana-1633	129	3	advanced	advanced	ADJ
cana-1633	129	4	signal	signal	NOUN
cana-1633	129	5	processing	processing	NOUN
cana-1633	129	6	techniques	technique	NOUN
cana-1633	129	7	when	when	SCONJ
cana-1633	129	8	working	work	VERB
cana-1633	129	9	with	with	ADP
cana-1633	129	10	information	information	NOUN
cana-1633	129	11	that	that	PRON
cana-1633	129	12	features	feature	VERB
cana-1633	129	13	a	a	DET
cana-1633	129	14	grid	grid	NOUN
cana-1633	129	15	-	-	PUNCT
cana-1633	129	16	like	like	ADJ
cana-1633	129	17	structure	structure	NOUN
cana-1633	129	18	,	,	PUNCT
cana-1633	129	19	like	like	ADP
cana-1633	129	20	time	time	NOUN
cana-1633	129	21	-	-	PUNCT
cana-1633	129	22	series	series	NOUN
cana-1633	129	23	designs	design	NOUN
cana-1633	129	24	,	,	PUNCT
cana-1633	129	25	convolutional	convolutional	ADJ
cana-1633	129	26	neural	neural	ADJ
cana-1633	129	27	networks	network	NOUN
cana-1633	129	28	(	(	PUNCT
cana-1633	129	29	cnns	cnns	PROPN
cana-1633	129	30	)	)	PUNCT
cana-1633	129	31	work	work	NOUN
cana-1633	129	32	truly	truly	ADV
cana-1633	129	33	well	well	ADV
cana-1633	129	34	.	.	PUNCT
cana-1633	130	1	here	here	ADV
cana-1633	130	2	may	may	AUX
cana-1633	130	3	be	be	AUX
cana-1633	130	4	a	a	DET
cana-1633	130	5	step	step	NOUN
cana-1633	130	6	-	-	PUNCT
cana-1633	130	7	by	by	ADP
cana-1633	130	8	-	-	PUNCT
cana-1633	130	9	step	step	NOUN
cana-1633	130	10	arrange	arrange	NOUN
cana-1633	130	11	for	for	ADP
cana-1633	130	12	employing	employ	VERB
cana-1633	130	13	a	a	DET
cana-1633	130	14	cnn	cnn	NOUN
cana-1633	130	15	to	to	PART
cana-1633	130	16	sort	sort	VERB
cana-1633	130	17	information	information	NOUN
cana-1633	130	18	into	into	ADP
cana-1633	130	19	bunches	bunche	NOUN
cana-1633	130	20	.	.	PUNCT
cana-1633	131	1	step	step	NOUN
cana-1633	131	2	1	1	NUM
cana-1633	131	3	:	:	PUNCT
cana-1633	131	4	input	input	NOUN
cana-1633	131	5	signal	signal	NOUN
cana-1633	131	6	preprocessing	preprocessing	NOUN
cana-1633	131	7	normalize	normalize	VERB
cana-1633	131	8	the	the	DET
cana-1633	131	9	signal	signal	NOUN
cana-1633	131	10	to	to	PART
cana-1633	131	11	have	have	AUX
cana-1633	131	12	zero	zero	NUM
cana-1633	131	13	mean	mean	NOUN
cana-1633	131	14	and	and	CCONJ
cana-1633	131	15	unit	unit	NOUN
cana-1633	131	16	variance	variance	NOUN
cana-1633	131	17	.	.	PUNCT
cana-1633	132	1	𝑥𝑛𝑜𝑟𝑚[𝑛	𝑥𝑛𝑜𝑟𝑚[𝑛	X
cana-1633	132	2	]	]	X
cana-1633	133	1	=	=	SYM
cana-1633	133	2	𝑥[𝑛	𝑥[𝑛	NOUN
cana-1633	133	3	]	]	X
cana-1633	133	4	−	−	NOUN
cana-1633	133	5	𝜇	𝜇	ADP
cana-1633	133	6	𝜎	𝜎	PROPN
cana-1633	133	7	where	where	SCONJ
cana-1633	133	8	μ	μ	NOUN
cana-1633	133	9	is	be	AUX
cana-1633	133	10	the	the	DET
cana-1633	133	11	mean	mean	NOUN
cana-1633	133	12	and	and	CCONJ
cana-1633	133	13	σ	σ	PROPN
cana-1633	133	14	is	be	AUX
cana-1633	133	15	the	the	DET
cana-1633	133	16	standard	standard	ADJ
cana-1633	133	17	deviation	deviation	NOUN
cana-1633	133	18	of	of	ADP
cana-1633	133	19	the	the	DET
cana-1633	133	20	signal	signal	NOUN
cana-1633	133	21	𝑥[𝑛	𝑥[𝑛	NOUN
cana-1633	133	22	]	]	PUNCT
cana-1633	133	23	.	.	PUNCT
cana-1633	134	1	step	step	NOUN
cana-1633	134	2	2	2	NUM
cana-1633	134	3	:	:	PUNCT
cana-1633	134	4	signal	signal	ADJ
cana-1633	134	5	segmentation	segmentation	NOUN
cana-1633	134	6	segment	segment	NOUN
cana-1633	134	7	the	the	DET
cana-1633	134	8	signal	signal	NOUN
cana-1633	134	9	into	into	ADP
cana-1633	134	10	overlapping	overlap	VERB
cana-1633	134	11	or	or	CCONJ
cana-1633	134	12	non	non	ADJ
cana-1633	134	13	-	-	ADJ
cana-1633	134	14	overlapping	overlapping	ADJ
cana-1633	134	15	windows	window	NOUN
cana-1633	134	16	of	of	ADP
cana-1633	134	17	size	size	NOUN
cana-1633	134	18	n.	n.	PROPN
cana-1633	134	19	𝑥𝑘[𝑛	𝑥𝑘[𝑛	PROPN
cana-1633	134	20	]	]	PUNCT
cana-1633	134	21	=	=	PUNCT
cana-1633	135	1	𝑥[𝑛	𝑥[𝑛	NOUN
cana-1633	136	1	+	+	CCONJ
cana-1633	136	2	𝑘	𝑘	X
cana-1633	136	3	∙	∙	PROPN
cana-1633	136	4	∆	∆	X
cana-1633	136	5	]	]	PUNCT
cana-1633	136	6	where	where	SCONJ
cana-1633	136	7	k	k	PROPN
cana-1633	136	8	is	be	AUX
cana-1633	136	9	the	the	DET
cana-1633	136	10	segment	segment	NOUN
cana-1633	136	11	index	index	NOUN
cana-1633	136	12	and	and	CCONJ
cana-1633	136	13	δ	δ	PROPN
cana-1633	136	14	is	be	AUX
cana-1633	136	15	the	the	DET
cana-1633	136	16	step	step	NOUN
cana-1633	136	17	size	size	NOUN
cana-1633	136	18	.	.	PUNCT
cana-1633	137	1	step	step	NOUN
cana-1633	137	2	3	3	NUM
cana-1633	137	3	:	:	PUNCT
cana-1633	137	4	convolutional	convolutional	ADJ
cana-1633	137	5	layer	layer	NOUN
cana-1633	137	6	apply	apply	VERB
cana-1633	137	7	convolutional	convolutional	ADJ
cana-1633	137	8	filters	filter	NOUN
cana-1633	137	9	to	to	ADP
cana-1633	137	10	the	the	DET
cana-1633	137	11	signal	signal	ADJ
cana-1633	137	12	segment	segment	NOUN
cana-1633	137	13	.	.	PUNCT
cana-1633	138	1	communications	communication	NOUN
cana-1633	138	2	on	on	ADP
cana-1633	138	3	applied	apply	VERB
cana-1633	138	4	nonlinear	nonlinear	ADJ
cana-1633	138	5	analysis	analysis	NOUN
cana-1633	138	6	issn	issn	NOUN
cana-1633	138	7	:	:	PUNCT
cana-1633	138	8	1074	1074	NUM
cana-1633	138	9	-	-	PUNCT
cana-1633	138	10	133x	133x	NUM
cana-1633	138	11	vol	vol	NOUN
cana-1633	138	12	32	32	NUM
cana-1633	138	13	no	no	NOUN
cana-1633	138	14	.	.	NOUN
cana-1633	138	15	1	1	NUM
cana-1633	138	16	(	(	PUNCT
cana-1633	138	17	2025	2025	NUM
cana-1633	138	18	)	)	PUNCT
cana-1633	138	19	234	234	NUM
cana-1633	138	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-1633	138	21	ℎ𝑘[𝑛	ℎ𝑘[𝑛	PROPN
cana-1633	138	22	]	]	X
cana-1633	138	23	=	=	SYM
cana-1633	138	24	(	(	PUNCT
cana-1633	138	25	𝑥𝑘	𝑥𝑘	X
cana-1633	138	26	∗	∗	NOUN
cana-1633	138	27	𝑤𝑗)[𝑛	𝑤𝑗)[𝑛	NOUN
cana-1633	138	28	]	]	X
cana-1633	138	29	=	=	SYM
cana-1633	138	30	∑	∑	PUNCT
cana-1633	138	31	𝑥𝑘[𝑚	𝑥𝑘[𝑚	PROPN
cana-1633	138	32	]	]	PUNCT
cana-1633	138	33	∙	∙	PROPN
cana-1633	138	34	𝑤𝑗[𝑛	𝑤𝑗[𝑛	PROPN
cana-1633	138	35	−	−	ADP
cana-1633	138	36	𝑚	𝑚	X
cana-1633	138	37	]	]	X
cana-1633	138	38	𝑀−1	𝑀−1	PROPN
cana-1633	138	39	𝑚=0	𝑚=0	PUNCT
cana-1633	138	40	where	where	SCONJ
cana-1633	138	41	ℎ𝑘[𝑛	ℎ𝑘[𝑛	PROPN
cana-1633	138	42	]	]	PUNCT
cana-1633	138	43	is	be	AUX
cana-1633	138	44	the	the	DET
cana-1633	138	45	feature	feature	NOUN
cana-1633	138	46	map	map	NOUN
cana-1633	138	47	,	,	PUNCT
cana-1633	138	48	𝑤𝑗	𝑤𝑗	X
cana-1633	138	49	is	be	AUX
cana-1633	138	50	the	the	DET
cana-1633	138	51	j	j	PROPN
cana-1633	138	52	-	-	PUNCT
cana-1633	138	53	th	th	VERB
cana-1633	138	54	filter	filter	NOUN
cana-1633	138	55	,	,	PUNCT
cana-1633	138	56	and	and	CCONJ
cana-1633	138	57	m	m	PROPN
cana-1633	138	58	is	be	AUX
cana-1633	138	59	the	the	DET
cana-1633	138	60	filter	filter	NOUN
cana-1633	138	61	size	size	NOUN
cana-1633	138	62	.	.	PUNCT
cana-1633	139	1	step	step	NOUN
cana-1633	139	2	4	4	NUM
cana-1633	139	3	:	:	PUNCT
cana-1633	139	4	activation	activation	NOUN
cana-1633	139	5	function	function	NOUN
cana-1633	139	6	apply	apply	VERB
cana-1633	139	7	an	an	DET
cana-1633	139	8	activation	activation	NOUN
cana-1633	139	9	function	function	NOUN
cana-1633	139	10	,	,	PUNCT
cana-1633	139	11	typically	typically	ADV
cana-1633	139	12	relu	relu	NOUN
cana-1633	139	13	(	(	PUNCT
cana-1633	139	14	rectified	rectified	ADJ
cana-1633	139	15	linear	linear	NOUN
cana-1633	139	16	unit	unit	NOUN
cana-1633	139	17	)	)	PUNCT
cana-1633	139	18	.	.	PUNCT
cana-1633	140	1	𝑎𝑘[𝑛	𝑎𝑘[𝑛	PROPN
cana-1633	140	2	]	]	PUNCT
cana-1633	140	3	=	=	SYM
cana-1633	140	4	𝑅𝑒𝐿𝑈(ℎ𝑘[𝑛	𝑅𝑒𝐿𝑈(ℎ𝑘[𝑛	NOUN
cana-1633	140	5	]	]	PUNCT
cana-1633	140	6	)	)	PUNCT
cana-1633	141	1	=	=	SYM
cana-1633	141	2	max⁡(0	max⁡(0	PROPN
cana-1633	141	3	,	,	PUNCT
cana-1633	141	4	ℎ𝑘[𝑛	ℎ𝑘[𝑛	PROPN
cana-1633	141	5	]	]	PUNCT
cana-1633	141	6	)	)	PUNCT
cana-1633	141	7	step	step	NOUN
cana-1633	141	8	5	5	NUM
cana-1633	141	9	:	:	PUNCT
cana-1633	141	10	pooling	pool	VERB
cana-1633	141	11	layer	layer	NOUN
cana-1633	141	12	apply	apply	VERB
cana-1633	141	13	max	max	PROPN
cana-1633	141	14	pooling	pooling	NOUN
cana-1633	141	15	or	or	CCONJ
cana-1633	141	16	average	average	ADJ
cana-1633	141	17	pooling	pooling	NOUN
cana-1633	141	18	.	.	PUNCT
cana-1633	142	1	𝑃𝑘[𝑛	𝑃𝑘[𝑛	NOUN
cana-1633	142	2	]	]	X
cana-1633	142	3	=	=	SYM
cana-1633	142	4	max	max	PROPN
cana-1633	142	5	𝑚	𝑚	PROPN
cana-1633	142	6	∈	∈	PROPN
cana-1633	142	7	𝑅(𝑛	𝑅(𝑛	X
cana-1633	142	8	)	)	PUNCT
cana-1633	142	9	⁡𝑎𝑘[𝑚	⁡𝑎𝑘[𝑚	PROPN
cana-1633	142	10	]	]	PUNCT
cana-1633	142	11	where	where	SCONJ
cana-1633	142	12	𝑅(𝑛	𝑅(𝑛	X
cana-1633	142	13	)	)	PUNCT
cana-1633	142	14	is	be	AUX
cana-1633	142	15	the	the	DET
cana-1633	142	16	pooling	pool	VERB
cana-1633	142	17	region	region	NOUN
cana-1633	142	18	.	.	PUNCT
cana-1633	143	1	step	step	NOUN
cana-1633	143	2	6	6	NUM
cana-1633	143	3	:	:	PUNCT
cana-1633	143	4	fully	fully	ADV
cana-1633	143	5	connected	connected	ADJ
cana-1633	143	6	layer	layer	NOUN
cana-1633	143	7	flatten	flatten	VERB
cana-1633	143	8	the	the	DET
cana-1633	143	9	pooled	pooled	ADJ
cana-1633	143	10	feature	feature	NOUN
cana-1633	143	11	maps	map	NOUN
cana-1633	143	12	and	and	CCONJ
cana-1633	143	13	apply	apply	VERB
cana-1633	143	14	a	a	DET
cana-1633	143	15	fully	fully	ADV
cana-1633	143	16	connected	connect	VERB
cana-1633	143	17	layer	layer	NOUN
cana-1633	143	18	.	.	PUNCT
cana-1633	144	1	𝑧	𝑧	NOUN
cana-1633	144	2	=	=	SYM
cana-1633	144	3	𝑊	𝑊	PROPN
cana-1633	144	4	∙	∙	PROPN
cana-1633	144	5	𝑓𝑙𝑎𝑡𝑡𝑒𝑛(𝑝𝑘	𝑓𝑙𝑎𝑡𝑡𝑒𝑛(𝑝𝑘	NOUN
cana-1633	144	6	)	)	PUNCT
cana-1633	145	1	+	+	CCONJ
cana-1633	145	2	𝑏	𝑏	X
cana-1633	145	3	where	where	SCONJ
cana-1633	145	4	w	w	NOUN
cana-1633	145	5	is	be	AUX
cana-1633	145	6	the	the	DET
cana-1633	145	7	weight	weight	NOUN
cana-1633	145	8	matrix	matrix	NOUN
cana-1633	145	9	and	and	CCONJ
cana-1633	145	10	b	b	NOUN
cana-1633	145	11	is	be	AUX
cana-1633	145	12	the	the	DET
cana-1633	145	13	bias	bias	NOUN
cana-1633	145	14	vector	vector	NOUN
cana-1633	145	15	.	.	PUNCT
cana-1633	146	1	step	step	NOUN
cana-1633	146	2	7	7	NUM
cana-1633	146	3	:	:	PUNCT
cana-1633	146	4	output	output	NOUN
cana-1633	146	5	layer	layer	NOUN
cana-1633	146	6	apply	apply	VERB
cana-1633	146	7	a	a	DET
cana-1633	146	8	softmax	softmax	NOUN
cana-1633	146	9	activation	activation	NOUN
cana-1633	146	10	function	function	VERB
cana-1633	146	11	to	to	ADP
cana-1633	146	12	output	output	NOUN
cana-1633	146	13	probabilities	probability	NOUN
cana-1633	146	14	for	for	ADP
cana-1633	146	15	each	each	DET
cana-1633	146	16	class	class	NOUN
cana-1633	146	17	.	.	PUNCT
cana-1633	147	1	𝑦	𝑦	X
cana-1633	147	2	�	�	PROPN
cana-1633	147	3	̂	̂	SYM
cana-1633	147	4	�	�	NOUN
cana-1633	147	5	=	=	PUNCT
cana-1633	147	6	𝑒𝑧𝑖	𝑒𝑧𝑖	NOUN
cana-1633	147	7	∑	∑	PROPN
cana-1633	147	8	𝑒𝑧𝑖𝑗	𝑒𝑧𝑖𝑗	NOUN
cana-1633	147	9	where	where	SCONJ
cana-1633	147	10	𝑦	𝑦	NOUN
cana-1633	147	11	�	�	PROPN
cana-1633	147	12	̂	̂	VERB
cana-1633	147	13	�	�	NOUN
cana-1633	147	14	is	be	AUX
cana-1633	147	15	the	the	DET
cana-1633	147	16	predicted	predict	VERB
cana-1633	147	17	probability	probability	NOUN
cana-1633	147	18	for	for	ADP
cana-1633	147	19	class	class	NOUN
cana-1633	147	20	i.	i.	NOUN
cana-1633	147	21	step	step	NOUN
cana-1633	147	22	8	8	NUM
cana-1633	147	23	:	:	PUNCT
cana-1633	147	24	loss	loss	NOUN
cana-1633	147	25	function	function	NOUN
cana-1633	147	26	and	and	CCONJ
cana-1633	147	27	optimization	optimization	NOUN
cana-1633	147	28	use	use	VERB
cana-1633	147	29	a	a	DET
cana-1633	147	30	loss	loss	NOUN
cana-1633	147	31	function	function	NOUN
cana-1633	147	32	,	,	PUNCT
cana-1633	147	33	such	such	ADJ
cana-1633	147	34	as	as	ADP
cana-1633	147	35	cross	cross	ADJ
cana-1633	147	36	-	-	ADJ
cana-1633	147	37	entropy	entropy	ADJ
cana-1633	147	38	loss	loss	NOUN
cana-1633	147	39	.	.	PUNCT
cana-1633	148	1	𝐿	𝐿	PROPN
cana-1633	148	2	=	=	SYM
cana-1633	148	3	−∑𝑦𝑖log⁡(𝑦	−∑𝑦𝑖log⁡(𝑦	PROPN
cana-1633	148	4	�	�	PROPN
cana-1633	148	5	̂	̂	NUM
cana-1633	148	6	�	�	NOUN
cana-1633	148	7	𝑖	𝑖	PROPN
cana-1633	148	8	)	)	PUNCT
cana-1633	148	9	where	where	SCONJ
cana-1633	148	10	y_i	y_i	PROPN
cana-1633	148	11	is	be	AUX
cana-1633	148	12	the	the	DET
cana-1633	148	13	genuine	genuine	ADJ
cana-1633	148	14	name	name	NOUN
cana-1633	148	15	and	and	CCONJ
cana-1633	148	16	(	(	PUNCT
cana-1633	148	17	y_i	y_i	PROPN
cana-1633	148	18	)	)	PUNCT
cana-1633	149	1	̂	̂	VERB
cana-1633	149	2	is	be	AUX
cana-1633	149	3	the	the	DET
cana-1633	149	4	anticipated	anticipate	VERB
cana-1633	149	5	likelihood	likelihood	NOUN
cana-1633	149	6	.	.	PUNCT
cana-1633	150	1	optimize	optimize	VERB
cana-1633	150	2	the	the	DET
cana-1633	150	3	arrange	arrange	NOUN
cana-1633	150	4	parameters	parameter	NOUN
cana-1633	150	5	utilizing	utilize	VERB
cana-1633	150	6	backpropagation	backpropagation	NOUN
cana-1633	150	7	and	and	CCONJ
cana-1633	150	8	an	an	DET
cana-1633	150	9	optimizer	optimizer	NOUN
cana-1633	150	10	like	like	ADP
cana-1633	150	11	adam	adam	PROPN
cana-1633	150	12	.	.	PUNCT
cana-1633	151	1	𝜃	𝜃	X
cana-1633	152	1	=	=	PUNCT
cana-1633	152	2	𝜃	𝜃	NUM
cana-1633	152	3	−	−	NOUN
cana-1633	152	4	𝜂𝛻_𝜃⁡𝐿	𝜂𝛻_𝜃⁡𝐿	NOUN
cana-1633	152	5	where	where	SCONJ
cana-1633	152	6	θ	θ	PROPN
cana-1633	152	7	speaks	speak	VERB
cana-1633	152	8	to	to	ADP
cana-1633	152	9	the	the	DET
cana-1633	152	10	show	show	NOUN
cana-1633	152	11	parameters	parameter	NOUN
cana-1633	152	12	,	,	PUNCT
cana-1633	152	13	η	η	PROPN
cana-1633	152	14	is	be	AUX
cana-1633	152	15	the	the	DET
cana-1633	152	16	learning	learning	NOUN
cana-1633	152	17	rate	rate	NOUN
cana-1633	152	18	,	,	PUNCT
cana-1633	152	19	and	and	CCONJ
cana-1633	152	20	∇_θl	∇_θl	PROPN
cana-1633	152	21	is	be	AUX
cana-1633	152	22	the	the	DET
cana-1633	152	23	slope	slope	NOUN
cana-1633	152	24	of	of	ADP
cana-1633	152	25	the	the	DET
cana-1633	152	26	misfortune	misfortune	NOUN
cana-1633	152	27	work	work	VERB
cana-1633	152	28	with	with	ADP
cana-1633	152	29	regard	regard	NOUN
cana-1633	152	30	to	to	ADP
cana-1633	152	31	θ	θ	PROPN
cana-1633	152	32	.	.	PUNCT
cana-1633	153	1	by	by	ADP
cana-1633	153	2	taking	take	VERB
cana-1633	153	3	after	after	ADP
cana-1633	153	4	these	these	DET
cana-1633	153	5	steps	step	NOUN
cana-1633	153	6	,	,	PUNCT
cana-1633	153	7	a	a	DET
cana-1633	153	8	cnn	cnn	NOUN
cana-1633	153	9	can	can	AUX
cana-1633	153	10	be	be	AUX
cana-1633	153	11	viably	viably	ADV
cana-1633	153	12	utilized	utilize	VERB
cana-1633	153	13	to	to	PART
cana-1633	153	14	classify	classify	VERB
cana-1633	153	15	signals	signal	NOUN
cana-1633	153	16	,	,	PUNCT
cana-1633	153	17	recognizing	recognize	VERB
cana-1633	153	18	designs	design	NOUN
cana-1633	153	19	and	and	CCONJ
cana-1633	153	20	highlights	highlight	NOUN
cana-1633	153	21	with	with	ADP
cana-1633	153	22	tall	tall	ADJ
cana-1633	153	23	exactness	exactness	NOUN
cana-1633	153	24	.	.	PUNCT
cana-1633	154	1	communications	communication	NOUN
cana-1633	154	2	on	on	ADP
cana-1633	154	3	applied	apply	VERB
cana-1633	154	4	nonlinear	nonlinear	ADJ
cana-1633	154	5	analysis	analysis	NOUN
cana-1633	154	6	issn	issn	NOUN
cana-1633	154	7	:	:	PUNCT
cana-1633	154	8	1074	1074	NUM
cana-1633	154	9	-	-	PUNCT
cana-1633	154	10	133x	133x	NUM
cana-1633	154	11	vol	vol	NOUN
cana-1633	154	12	32	32	NUM
cana-1633	154	13	no	no	NOUN
cana-1633	154	14	.	.	NOUN
cana-1633	154	15	1	1	NUM
cana-1633	154	16	(	(	PUNCT
cana-1633	154	17	2025	2025	NUM
cana-1633	154	18	)	)	PUNCT
cana-1633	154	19	235	235	NUM
cana-1633	154	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-1633	154	21	7	7	NUM
cana-1633	154	22	.	.	NOUN
cana-1633	154	23	result	result	NOUN
cana-1633	154	24	and	and	CCONJ
cana-1633	154	25	discussion	discussion	VERB
cana-1633	154	26	the	the	DET
cana-1633	154	27	table	table	NOUN
cana-1633	154	28	(	(	PUNCT
cana-1633	154	29	2	2	X
cana-1633	154	30	)	)	PUNCT
cana-1633	154	31	appears	appear	VERB
cana-1633	154	32	how	how	SCONJ
cana-1633	154	33	well	well	ADV
cana-1633	154	34	distinctive	distinctive	ADJ
cana-1633	154	35	flag	flag	NOUN
cana-1633	154	36	classification	classification	NOUN
cana-1633	154	37	calculations	calculation	NOUN
cana-1633	154	38	do	do	AUX
cana-1633	154	39	utilizing	utilize	VERB
cana-1633	154	40	four	four	NUM
cana-1633	154	41	vital	vital	ADJ
cana-1633	154	42	measurements	measurement	NOUN
cana-1633	154	43	:	:	PUNCT
cana-1633	154	44	f1	f1	NOUN
cana-1633	154	45	score	score	NOUN
cana-1633	154	46	,	,	PUNCT
cana-1633	154	47	precision	precision	NOUN
cana-1633	154	48	,	,	PUNCT
cana-1633	154	49	accuracy	accuracy	NOUN
cana-1633	154	50	,	,	PUNCT
cana-1633	154	51	and	and	CCONJ
cana-1633	154	52	review	review	NOUN
cana-1633	154	53	.	.	PUNCT
cana-1633	155	1	with	with	ADP
cana-1633	155	2	95curacy	95curacy	NUM
cana-1633	155	3	,	,	PUNCT
cana-1633	155	4	94	94	NUM
cana-1633	155	5	%	%	NOUN
cana-1633	155	6	accuracy	accuracy	NOUN
cana-1633	155	7	,	,	PUNCT
cana-1633	155	8	96	96	NUM
cana-1633	155	9	%	%	NOUN
cana-1633	155	10	memory	memory	NOUN
cana-1633	155	11	,	,	PUNCT
cana-1633	155	12	and	and	CCONJ
cana-1633	155	13	a	a	DET
cana-1633	155	14	95	95	NUM
cana-1633	155	15	score	score	NOUN
cana-1633	155	16	,	,	PUNCT
cana-1633	155	17	convolutional	convolutional	ADJ
cana-1633	155	18	neural	neural	ADJ
cana-1633	155	19	systems	system	NOUN
cana-1633	155	20	(	(	PUNCT
cana-1633	155	21	cnns	cnns	PROPN
cana-1633	155	22	)	)	PUNCT
cana-1633	155	23	perform	perform	VERB
cana-1633	155	24	the	the	DET
cana-1633	155	25	leading	leading	NOUN
cana-1633	155	26	.	.	PUNCT
cana-1633	156	1	this	this	PRON
cana-1633	156	2	appears	appear	VERB
cana-1633	156	3	that	that	SCONJ
cana-1633	156	4	they	they	PRON
cana-1633	156	5	are	be	AUX
cana-1633	156	6	exceptionally	exceptionally	ADV
cana-1633	156	7	great	great	ADJ
cana-1633	156	8	at	at	ADP
cana-1633	156	9	finding	find	VERB
cana-1633	156	10	designs	design	NOUN
cana-1633	156	11	and	and	CCONJ
cana-1633	156	12	highlights	highlight	NOUN
cana-1633	156	13	in	in	ADP
cana-1633	156	14	signals	signal	NOUN
cana-1633	156	15	.	.	PUNCT
cana-1633	157	1	irregular	irregular	ADJ
cana-1633	157	2	woodlands	woodland	NOUN
cana-1633	157	3	and	and	CCONJ
cana-1633	157	4	bolster	bolster	VERB
cana-1633	157	5	vector	vector	NOUN
cana-1633	157	6	machines	machine	NOUN
cana-1633	157	7	(	(	PUNCT
cana-1633	157	8	svms	svms	NOUN
cana-1633	157	9	)	)	PUNCT
cana-1633	157	10	too	too	ADV
cana-1633	157	11	do	do	VERB
cana-1633	157	12	well	well	ADV
cana-1633	157	13	.	.	PUNCT
cana-1633	158	1	arbitrary	arbitrary	ADJ
cana-1633	158	2	woodlands	woodland	NOUN
cana-1633	158	3	gets	get	VERB
cana-1633	158	4	a	a	DET
cana-1633	158	5	somewhat	somewhat	ADV
cana-1633	158	6	higher	high	ADJ
cana-1633	158	7	f1	f1	NOUN
cana-1633	158	8	score	score	NOUN
cana-1633	158	9	of	of	ADP
cana-1633	158	10	90	90	NUM
cana-1633	158	11	%	%	NOUN
cana-1633	158	12	,	,	PUNCT
cana-1633	158	13	whereas	whereas	SCONJ
cana-1633	158	14	svms	svms	NOUN
cana-1633	158	15	get	get	VERB
cana-1633	158	16	88ross	88ross	NUM
cana-1633	158	17	most	most	ADJ
cana-1633	158	18	measures	measure	NOUN
cana-1633	158	19	.	.	PUNCT
cana-1633	159	1	with	with	ADP
cana-1633	159	2	an	an	DET
cana-1633	159	3	f1	f1	ADJ
cana-1633	159	4	score	score	NOUN
cana-1633	159	5	of	of	ADP
cana-1633	159	6	85curacy	85curacy	NUM
cana-1633	159	7	,	,	PUNCT
cana-1633	159	8	k	k	X
cana-1633	159	9	-	-	PUNCT
cana-1633	159	10	nearest	near	ADJ
cana-1633	159	11	neighbors	neighbor	NOUN
cana-1633	159	12	(	(	PUNCT
cana-1633	159	13	k	k	X
cana-1633	159	14	-	-	PUNCT
cana-1633	159	15	nn	nn	NOUN
cana-1633	159	16	)	)	PUNCT
cana-1633	159	17	does	do	VERB
cana-1633	159	18	a	a	DET
cana-1633	159	19	better	well	ADJ
cana-1633	159	20	than	than	ADP
cana-1633	159	21	average	average	ADJ
cana-1633	159	22	work	work	NOUN
cana-1633	159	23	.	.	PUNCT
cana-1633	160	1	table	table	NOUN
cana-1633	160	2	2	2	NUM
cana-1633	160	3	:	:	PUNCT
cana-1633	160	4	performance	performance	NOUN
cana-1633	160	5	metrics	metric	NOUN
cana-1633	160	6	comparison	comparison	NOUN
cana-1633	160	7	algorithm	algorithm	NOUN
cana-1633	160	8	accuracy	accuracy	NOUN
cana-1633	160	9	(	(	PUNCT
cana-1633	160	10	%	%	INTJ
cana-1633	160	11	)	)	PUNCT
cana-1633	160	12	precision	precision	NOUN
cana-1633	160	13	(	(	PUNCT
cana-1633	160	14	%	%	INTJ
cana-1633	160	15	)	)	PUNCT
cana-1633	160	16	recall	recall	NOUN
cana-1633	161	1	(	(	PUNCT
cana-1633	161	2	%	%	NOUN
cana-1633	161	3	)	)	PUNCT
cana-1633	161	4	f1	f1	NOUN
cana-1633	161	5	score	score	NOUN
cana-1633	161	6	(	(	PUNCT
cana-1633	161	7	%	%	INTJ
cana-1633	161	8	)	)	PUNCT
cana-1633	161	9	cnn	cnn	PROPN
cana-1633	162	1	95	95	NUM
cana-1633	162	2	94	94	NUM
cana-1633	162	3	96	96	NUM
cana-1633	162	4	95	95	NUM
cana-1633	162	5	svm	svm	NOUN
cana-1633	162	6	88	88	NUM
cana-1633	162	7	87	87	NUM
cana-1633	162	8	89	89	NUM
cana-1633	162	9	88	88	NUM
cana-1633	162	10	random	random	ADJ
cana-1633	162	11	forest	forest	NOUN
cana-1633	162	12	90	90	NUM
cana-1633	162	13	91	91	NUM
cana-1633	162	14	89	89	NUM
cana-1633	162	15	90	90	NUM
cana-1633	162	16	k	k	PROPN
cana-1633	162	17	-	-	PUNCT
cana-1633	162	18	nn	nn	PROPN
cana-1633	162	19	85	85	NUM
cana-1633	162	20	84	84	NUM
cana-1633	162	21	86	86	NUM
cana-1633	162	22	85	85	NUM
cana-1633	162	23	figure	figure	NOUN
cana-1633	162	24	2	2	NUM
cana-1633	162	25	:	:	PUNCT
cana-1633	162	26	representation	representation	NOUN
cana-1633	162	27	of	of	ADP
cana-1633	162	28	performance	performance	NOUN
cana-1633	162	29	metrics	metric	NOUN
cana-1633	162	30	comparison	comparison	VERB
cana-1633	162	31	the	the	DET
cana-1633	162	32	figure	figure	NOUN
cana-1633	162	33	(	(	PUNCT
cana-1633	162	34	2	2	NUM
cana-1633	162	35	)	)	PUNCT
cana-1633	162	36	shows	show	VERB
cana-1633	162	37	a	a	DET
cana-1633	162	38	graphic	graphic	ADJ
cana-1633	162	39	comparison	comparison	NOUN
cana-1633	162	40	of	of	ADP
cana-1633	162	41	how	how	SCONJ
cana-1633	162	42	well	well	ADV
cana-1633	162	43	cnn	cnn	PROPN
cana-1633	162	44	,	,	PUNCT
cana-1633	162	45	svm	svm	ADJ
cana-1633	162	46	,	,	PUNCT
cana-1633	162	47	random	random	ADJ
cana-1633	162	48	forest	forest	NOUN
cana-1633	162	49	,	,	PUNCT
cana-1633	162	50	and	and	CCONJ
cana-1633	162	51	k	k	X
cana-1633	162	52	-	-	PUNCT
cana-1633	162	53	nn	nn	ADJ
cana-1633	162	54	do	do	VERB
cana-1633	162	55	in	in	ADP
cana-1633	162	56	four	four	NUM
cana-1633	162	57	different	different	ADJ
cana-1633	162	58	areas	area	NOUN
cana-1633	162	59	:	:	PUNCT
cana-1633	162	60	accuracy	accuracy	NOUN
cana-1633	162	61	,	,	PUNCT
cana-1633	162	62	precision	precision	NOUN
cana-1633	162	63	,	,	PUNCT
cana-1633	162	64	recall	recall	NOUN
cana-1633	162	65	,	,	PUNCT
cana-1633	162	66	and	and	CCONJ
cana-1633	162	67	f1	f1	NOUN
cana-1633	162	68	score	score	NOUN
cana-1633	162	69	.	.	PUNCT
cana-1633	163	1	there	there	PRON
cana-1633	163	2	is	be	VERB
cana-1633	163	3	a	a	DET
cana-1633	163	4	group	group	NOUN
cana-1633	163	5	of	of	ADP
cana-1633	163	6	four	four	NUM
cana-1633	163	7	bars	bar	NOUN
cana-1633	163	8	for	for	ADP
cana-1633	163	9	each	each	DET
cana-1633	163	10	method	method	NOUN
cana-1633	163	11	,	,	PUNCT
cana-1633	163	12	with	with	ADP
cana-1633	163	13	a	a	DET
cana-1633	163	14	different	different	ADJ
cana-1633	163	15	color	color	NOUN
cana-1633	163	16	for	for	ADP
cana-1633	163	17	each	each	DET
cana-1633	163	18	measure	measure	NOUN
cana-1633	163	19	.	.	PUNCT
cana-1633	164	1	cnn	cnn	PROPN
cana-1633	164	2	does	do	VERB
cana-1633	164	3	better	well	ADV
cana-1633	164	4	than	than	ADP
cana-1633	164	5	the	the	DET
cana-1633	164	6	others	other	NOUN
cana-1633	164	7	;	;	PUNCT
cana-1633	164	8	it	it	PRON
cana-1633	164	9	has	have	VERB
cana-1633	164	10	the	the	DET
cana-1633	164	11	best	good	ADJ
cana-1633	164	12	scores	score	NOUN
cana-1633	164	13	in	in	ADP
cana-1633	164	14	all	all	DET
cana-1633	164	15	categories	category	NOUN
cana-1633	164	16	(	(	PUNCT
cana-1633	164	17	95	95	NUM
cana-1633	164	18	%	%	NOUN
cana-1633	164	19	accuracy	accuracy	NOUN
cana-1633	164	20	,	,	PUNCT
cana-1633	164	21	94	94	NUM
cana-1633	164	22	%	%	NOUN
cana-1633	164	23	precision	precision	NOUN
cana-1633	164	24	,	,	PUNCT
cana-1633	164	25	96	96	NUM
cana-1633	164	26	%	%	NOUN
cana-1633	164	27	memory	memory	NOUN
cana-1633	164	28	,	,	PUNCT
cana-1633	164	29	and	and	CCONJ
cana-1633	164	30	95	95	NUM
cana-1633	164	31	%	%	NOUN
cana-1633	164	32	f1	f1	NOUN
cana-1633	164	33	score	score	NOUN
cana-1633	164	34	)	)	PUNCT
cana-1633	164	35	.	.	PUNCT
cana-1633	165	1	the	the	DET
cana-1633	165	2	fact	fact	NOUN
cana-1633	165	3	that	that	SCONJ
cana-1633	165	4	random	random	ADJ
cana-1633	165	5	forest	forest	NOUN
cana-1633	165	6	has	have	AUX
cana-1633	165	7	a	a	DET
cana-1633	165	8	90	90	NUM
cana-1633	165	9	%	%	NOUN
cana-1633	165	10	f1	f1	NOUN
cana-1633	165	11	score	score	NOUN
cana-1633	165	12	,	,	PUNCT
cana-1633	165	13	90	90	NUM
cana-1633	165	14	%	%	NOUN
cana-1633	165	15	accuracy	accuracy	NOUN
cana-1633	165	16	,	,	PUNCT
cana-1633	165	17	91	91	NUM
cana-1633	165	18	%	%	NOUN
cana-1633	165	19	precision	precision	NOUN
cana-1633	165	20	,	,	PUNCT
cana-1633	165	21	89	89	NUM
cana-1633	165	22	%	%	NOUN
cana-1633	165	23	memory	memory	NOUN
cana-1633	165	24	,	,	PUNCT
cana-1633	165	25	and	and	CCONJ
cana-1633	165	26	a	a	DET
cana-1633	165	27	strong	strong	ADJ
cana-1633	165	28	performance	performance	NOUN
cana-1633	165	29	shows	show	VERB
cana-1633	165	30	that	that	SCONJ
cana-1633	165	31	it	it	PRON
cana-1633	165	32	is	be	AUX
cana-1633	165	33	reliable	reliable	ADJ
cana-1633	165	34	at	at	ADP
cana-1633	165	35	classifying	classify	VERB
cana-1633	165	36	signals	signal	NOUN
cana-1633	165	37	.	.	PUNCT
cana-1633	166	1	svm	svm	PROPN
cana-1633	166	2	comes	come	VERB
cana-1633	166	3	in	in	ADP
cana-1633	166	4	second	second	ADJ
cana-1633	166	5	with	with	ADP
cana-1633	166	6	average	average	ADJ
cana-1633	166	7	scores	score	NOUN
cana-1633	166	8	of	of	ADP
cana-1633	166	9	88	88	NUM
cana-1633	166	10	%	%	NOUN
cana-1633	166	11	for	for	ADP
cana-1633	166	12	accuracy	accuracy	NOUN
cana-1633	166	13	,	,	PUNCT
cana-1633	166	14	87	87	NUM
cana-1633	166	15	%	%	NOUN
cana-1633	166	16	for	for	ADP
cana-1633	166	17	precision	precision	NOUN
cana-1633	166	18	,	,	PUNCT
cana-1633	166	19	89	89	NUM
cana-1633	166	20	%	%	NOUN
cana-1633	166	21	for	for	ADP
cana-1633	166	22	recall	recall	NOUN
cana-1633	166	23	,	,	PUNCT
cana-1633	166	24	and	and	CCONJ
cana-1633	166	25	88	88	NUM
cana-1633	166	26	%	%	NOUN
cana-1633	166	27	for	for	ADP
cana-1633	166	28	f1	f1	NOUN
cana-1633	166	29	.	.	PUNCT
cana-1633	167	1	with	with	ADP
cana-1633	167	2	an	an	DET
cana-1633	167	3	85	85	NUM
cana-1633	167	4	%	%	NOUN
cana-1633	167	5	f1	f1	NOUN
cana-1633	167	6	score	score	NOUN
cana-1633	167	7	,	,	PUNCT
cana-1633	167	8	k	k	PROPN
cana-1633	167	9	-	-	PUNCT
cana-1633	167	10	nn	nn	PROPN
cana-1633	167	11	is	be	AUX
cana-1633	167	12	the	the	DET
cana-1633	167	13	least	least	ADJ
cana-1633	167	14	accurate	accurate	ADJ
cana-1633	167	15	,	,	PUNCT
cana-1633	167	16	most	most	ADV
cana-1633	167	17	precise	precise	ADJ
cana-1633	167	18	,	,	PUNCT
cana-1633	167	19	most	most	ADV
cana-1633	167	20	recalling	recall	VERB
cana-1633	167	21	,	,	PUNCT
cana-1633	167	22	and	and	CCONJ
cana-1633	167	23	least	least	ADJ
cana-1633	167	24	accurate	accurate	ADJ
cana-1633	167	25	of	of	ADP
cana-1633	167	26	the	the	DET
cana-1633	167	27	four	four	NUM
cana-1633	167	28	.	.	PUNCT
cana-1633	168	1	the	the	DET
cana-1633	168	2	graph	graph	NOUN
cana-1633	168	3	does	do	VERB
cana-1633	168	4	a	a	DET
cana-1633	168	5	good	good	ADJ
cana-1633	168	6	job	job	NOUN
cana-1633	168	7	of	of	ADP
cana-1633	168	8	showing	show	VERB
cana-1633	168	9	how	how	SCONJ
cana-1633	168	10	cnn	cnn	PROPN
cana-1633	168	11	is	be	AUX
cana-1633	168	12	better	well	ADJ
cana-1633	168	13	than	than	ADP
cana-1633	168	14	the	the	DET
cana-1633	168	15	other	other	ADJ
cana-1633	168	16	algorithms	algorithm	NOUN
cana-1633	168	17	at	at	ADP
cana-1633	168	18	correctly	correctly	ADV
cana-1633	168	19	finding	find	VERB
cana-1633	168	20	patterns	pattern	NOUN
cana-1633	168	21	and	and	CCONJ
cana-1633	168	22	features	feature	NOUN
cana-1633	168	23	in	in	ADP
cana-1633	168	24	signals	signal	NOUN
cana-1633	168	25	.	.	PUNCT
cana-1633	169	1	table	table	NOUN
cana-1633	169	2	3	3	NUM
cana-1633	169	3	:	:	PUNCT
cana-1633	169	4	performance	performance	NOUN
cana-1633	169	5	comparison	comparison	NOUN
cana-1633	169	6	of	of	ADP
cana-1633	169	7	cnn	cnn	PROPN
cana-1633	169	8	algorithm	algorithm	NOUN
cana-1633	169	9	vs.	vs.	ADP
cana-1633	169	10	other	other	ADJ
cana-1633	169	11	algorithm	algorithm	NOUN
cana-1633	169	12	algorithm	algorithm	PROPN
cana-1633	169	13	snr	snr	PROPN
cana-1633	169	14	(	(	PUNCT
cana-1633	169	15	db	db	PROPN
cana-1633	169	16	)	)	PUNCT
cana-1633	169	17	mse	mse	NOUN
cana-1633	169	18	(	(	PUNCT
cana-1633	169	19	%	%	INTJ
cana-1633	169	20	)	)	PUNCT
cana-1633	169	21	processing	processing	NOUN
cana-1633	169	22	time	time	NOUN
cana-1633	169	23	(	(	PUNCT
cana-1633	169	24	ms	ms	PROPN
cana-1633	169	25	)	)	PUNCT
cana-1633	169	26	cnn	cnn	PROPN
cana-1633	169	27	35	35	NUM
cana-1633	169	28	0.02	0.02	NUM
cana-1633	169	29	150	150	NUM
cana-1633	169	30	svm	svm	NOUN
cana-1633	169	31	28	28	NUM
cana-1633	169	32	0.05	0.05	NUM
cana-1633	169	33	120	120	NUM
cana-1633	169	34	random	random	ADJ
cana-1633	169	35	forest	forest	NOUN
cana-1633	169	36	30	30	NUM
cana-1633	169	37	0.04	0.04	NUM
cana-1633	169	38	180	180	NUM
cana-1633	169	39	k	k	NOUN
cana-1633	169	40	-	-	PUNCT
cana-1633	169	41	nn	nn	PROPN
cana-1633	169	42	25	25	NUM
cana-1633	169	43	0.06	0.06	NUM
cana-1633	169	44	100	100	NUM
cana-1633	169	45	communications	communication	NOUN
cana-1633	169	46	on	on	ADP
cana-1633	169	47	applied	apply	VERB
cana-1633	169	48	nonlinear	nonlinear	ADJ
cana-1633	169	49	analysis	analysis	NOUN
cana-1633	169	50	issn	issn	NOUN
cana-1633	169	51	:	:	PUNCT
cana-1633	169	52	1074	1074	NUM
cana-1633	169	53	-	-	PUNCT
cana-1633	169	54	133x	133x	NUM
cana-1633	169	55	vol	vol	NOUN
cana-1633	169	56	32	32	NUM
cana-1633	169	57	no	no	NOUN
cana-1633	169	58	.	.	NOUN
cana-1633	169	59	1	1	NUM
cana-1633	169	60	(	(	PUNCT
cana-1633	169	61	2025	2025	NUM
cana-1633	169	62	)	)	PUNCT
cana-1633	169	63	236	236	NUM
cana-1633	169	64	https://internationalpubls.com	https://internationalpubls.com	X
cana-1633	169	65	the	the	DET
cana-1633	169	66	table	table	NOUN
cana-1633	169	67	(	(	PUNCT
cana-1633	169	68	3	3	X
cana-1633	169	69	)	)	PUNCT
cana-1633	169	70	shows	show	VERB
cana-1633	169	71	how	how	SCONJ
cana-1633	169	72	cnn	cnn	PROPN
cana-1633	169	73	,	,	PUNCT
cana-1633	169	74	svm	svm	ADJ
cana-1633	169	75	,	,	PUNCT
cana-1633	169	76	random	random	ADJ
cana-1633	169	77	forest	forest	NOUN
cana-1633	169	78	,	,	PUNCT
cana-1633	169	79	and	and	CCONJ
cana-1633	169	80	k	k	X
cana-1633	169	81	-	-	PUNCT
cana-1633	169	82	nn	nn	ADJ
cana-1633	169	83	compare	compare	NOUN
cana-1633	169	84	in	in	ADP
cana-1633	169	85	terms	term	NOUN
cana-1633	169	86	of	of	ADP
cana-1633	169	87	three	three	NUM
cana-1633	169	88	performance	performance	NOUN
cana-1633	169	89	metrics	metric	NOUN
cana-1633	169	90	:	:	PUNCT
cana-1633	169	91	processing	processing	NOUN
cana-1633	169	92	time	time	NOUN
cana-1633	169	93	,	,	PUNCT
cana-1633	169	94	signal	signal	NOUN
cana-1633	169	95	-	-	PUNCT
cana-1633	169	96	to	to	ADP
cana-1633	169	97	-	-	PUNCT
cana-1633	169	98	noise	noise	NOUN
cana-1633	169	99	ratio	ratio	NOUN
cana-1633	169	100	(	(	PUNCT
cana-1633	169	101	snr	snr	PROPN
cana-1633	169	102	)	)	PUNCT
cana-1633	169	103	,	,	PUNCT
cana-1633	169	104	and	and	CCONJ
cana-1633	169	105	mean	mean	VERB
cana-1633	169	106	squared	square	VERB
cana-1633	169	107	error	error	NOUN
cana-1633	169	108	(	(	PUNCT
cana-1633	169	109	mse	mse	NOUN
cana-1633	169	110	)	)	PUNCT
cana-1633	169	111	.	.	PUNCT
cana-1633	170	1	cnn	cnn	PROPN
cana-1633	170	2	has	have	VERB
cana-1633	170	3	the	the	DET
cana-1633	170	4	best	good	ADJ
cana-1633	170	5	snr	snr	NOUN
cana-1633	170	6	(	(	PUNCT
cana-1633	170	7	35	35	NUM
cana-1633	170	8	db	db	NOUN
cana-1633	170	9	)	)	PUNCT
cana-1633	170	10	and	and	CCONJ
cana-1633	170	11	the	the	DET
cana-1633	170	12	lowest	low	ADJ
cana-1633	170	13	mse	mse	NOUN
cana-1633	170	14	(	(	PUNCT
cana-1633	170	15	0.02	0.02	NUM
cana-1633	170	16	%	%	NOUN
cana-1633	170	17	)	)	PUNCT
cana-1633	170	18	,	,	PUNCT
cana-1633	170	19	which	which	PRON
cana-1633	170	20	means	mean	VERB
cana-1633	170	21	it	it	PRON
cana-1633	170	22	is	be	AUX
cana-1633	170	23	more	more	ADV
cana-1633	170	24	accurate	accurate	ADJ
cana-1633	170	25	.	.	PUNCT
cana-1633	171	1	it	it	PRON
cana-1633	171	2	takes	take	VERB
cana-1633	171	3	150	150	NUM
cana-1633	171	4	ms	ms	NOUN
cana-1633	171	5	to	to	ADP
cana-1633	171	6	process	process	NOUN
cana-1633	171	7	,	,	PUNCT
cana-1633	171	8	which	which	PRON
cana-1633	171	9	is	be	AUX
cana-1633	171	10	n't	not	PART
cana-1633	171	11	too	too	ADV
cana-1633	171	12	long	long	ADV
cana-1633	171	13	compared	compare	VERB
cana-1633	171	14	to	to	ADP
cana-1633	171	15	other	other	ADJ
cana-1633	171	16	methods	method	NOUN
cana-1633	171	17	.	.	PUNCT
cana-1633	172	1	random	random	ADJ
cana-1633	172	2	forest	forest	NOUN
cana-1633	172	3	comes	come	VERB
cana-1633	172	4	in	in	ADP
cana-1633	172	5	second	second	ADJ
cana-1633	172	6	with	with	ADP
cana-1633	172	7	an	an	DET
cana-1633	172	8	snr	snr	NOUN
cana-1633	172	9	of	of	ADP
cana-1633	172	10	30	30	NUM
cana-1633	172	11	db	db	NOUN
cana-1633	172	12	and	and	CCONJ
cana-1633	172	13	an	an	DET
cana-1633	172	14	mse	mse	NOUN
cana-1633	172	15	of	of	ADP
cana-1633	172	16	0.04	0.04	NUM
cana-1633	172	17	%	%	NOUN
cana-1633	172	18	.	.	PUNCT
cana-1633	173	1	svm	svm	PROPN
cana-1633	173	2	comes	come	VERB
cana-1633	173	3	in	in	ADV
cana-1633	173	4	third	third	ADJ
cana-1633	173	5	with	with	ADP
cana-1633	173	6	an	an	DET
cana-1633	173	7	snr	snr	NOUN
cana-1633	173	8	of	of	ADP
cana-1633	173	9	28	28	NUM
cana-1633	173	10	db	db	PROPN
cana-1633	173	11	and	and	CCONJ
cana-1633	173	12	an	an	DET
cana-1633	173	13	mse	mse	NOUN
cana-1633	173	14	of	of	ADP
cana-1633	173	15	0.05	0.05	NUM
cana-1633	173	16	%	%	NOUN
cana-1633	173	17	.	.	PUNCT
cana-1633	174	1	even	even	ADV
cana-1633	174	2	though	though	SCONJ
cana-1633	174	3	k	k	X
cana-1633	174	4	-	-	PUNCT
cana-1633	174	5	nn	nn	PROPN
cana-1633	174	6	has	have	VERB
cana-1633	174	7	the	the	DET
cana-1633	174	8	lowest	low	ADJ
cana-1633	174	9	snr	snr	NOUN
cana-1633	174	10	(	(	PUNCT
cana-1633	174	11	25	25	NUM
cana-1633	174	12	db	db	NOUN
cana-1633	174	13	)	)	PUNCT
cana-1633	174	14	,	,	PUNCT
cana-1633	174	15	it	it	PRON
cana-1633	174	16	also	also	ADV
cana-1633	174	17	has	have	VERB
cana-1633	174	18	the	the	DET
cana-1633	174	19	best	good	ADJ
cana-1633	174	20	mse	mse	NOUN
cana-1633	174	21	(	(	PUNCT
cana-1633	174	22	0.06	0.06	NUM
cana-1633	174	23	%	%	NOUN
cana-1633	174	24	)	)	PUNCT
cana-1633	174	25	and	and	CCONJ
cana-1633	174	26	the	the	DET
cana-1633	174	27	fastest	fast	ADJ
cana-1633	174	28	processing	processing	NOUN
cana-1633	174	29	time	time	NOUN
cana-1633	174	30	(	(	PUNCT
cana-1633	174	31	100	100	NUM
cana-1633	174	32	ms	ms	NOUN
cana-1633	174	33	)	)	PUNCT
cana-1633	174	34	.	.	PUNCT
cana-1633	175	1	figure	figure	VERB
cana-1633	175	2	3	3	NUM
cana-1633	175	3	:	:	PUNCT
cana-1633	175	4	representation	representation	NOUN
cana-1633	175	5	of	of	ADP
cana-1633	175	6	snr	snr	PROPN
cana-1633	175	7	&	&	CCONJ
cana-1633	175	8	processing	processing	NOUN
cana-1633	175	9	time	time	NOUN
cana-1633	175	10	comparison	comparison	NOUN
cana-1633	175	11	in	in	ADP
cana-1633	175	12	figure	figure	NOUN
cana-1633	175	13	3	3	NUM
cana-1633	175	14	,	,	PUNCT
cana-1633	175	15	you	you	PRON
cana-1633	175	16	can	can	AUX
cana-1633	175	17	see	see	VERB
cana-1633	175	18	how	how	SCONJ
cana-1633	175	19	the	the	DET
cana-1633	175	20	signal	signal	NOUN
cana-1633	175	21	-	-	PUNCT
cana-1633	175	22	to	to	ADP
cana-1633	175	23	-	-	PUNCT
cana-1633	175	24	noise	noise	NOUN
cana-1633	175	25	ratio	ratio	NOUN
cana-1633	175	26	(	(	PUNCT
cana-1633	175	27	snr	snr	PROPN
cana-1633	175	28	)	)	PUNCT
cana-1633	175	29	and	and	CCONJ
cana-1633	175	30	processing	processing	NOUN
cana-1633	175	31	time	time	NOUN
cana-1633	175	32	of	of	ADP
cana-1633	175	33	various	various	ADJ
cana-1633	175	34	methods	method	NOUN
cana-1633	175	35	compare	compare	VERB
cana-1633	175	36	.	.	PUNCT
cana-1633	176	1	the	the	DET
cana-1633	176	2	blue	blue	ADJ
cana-1633	176	3	line	line	NOUN
cana-1633	176	4	shows	show	VERB
cana-1633	176	5	the	the	DET
cana-1633	176	6	snr	snr	PROPN
cana-1633	176	7	(	(	PUNCT
cana-1633	176	8	db	db	PROPN
cana-1633	176	9	)	)	PUNCT
cana-1633	176	10	,	,	PUNCT
cana-1633	176	11	with	with	ADP
cana-1633	176	12	cnn	cnn	PROPN
cana-1633	176	13	having	have	VERB
cana-1633	176	14	the	the	DET
cana-1633	176	15	best	good	ADJ
cana-1633	176	16	at	at	ADP
cana-1633	176	17	35	35	NUM
cana-1633	176	18	db	db	NOUN
cana-1633	176	19	and	and	CCONJ
cana-1633	176	20	k	k	PROPN
cana-1633	176	21	-	-	PUNCT
cana-1633	176	22	nn	nn	INTJ
cana-1633	176	23	having	have	VERB
cana-1633	176	24	the	the	DET
cana-1633	176	25	lowest	low	ADJ
cana-1633	176	26	at	at	ADP
cana-1633	176	27	25	25	NUM
cana-1633	176	28	db	db	NOUN
cana-1633	176	29	.	.	PUNCT
cana-1633	176	30	processing	processing	NOUN
cana-1633	176	31	time	time	NOUN
cana-1633	176	32	(	(	PUNCT
cana-1633	176	33	ms	ms	NOUN
cana-1633	176	34	)	)	PUNCT
cana-1633	176	35	is	be	AUX
cana-1633	176	36	shown	show	VERB
cana-1633	176	37	by	by	ADP
cana-1633	176	38	the	the	DET
cana-1633	176	39	green	green	ADJ
cana-1633	176	40	line	line	NOUN
cana-1633	176	41	.	.	PUNCT
cana-1633	177	1	k	k	PROPN
cana-1633	177	2	-	-	PUNCT
cana-1633	177	3	nn	nn	PROPN
cana-1633	177	4	has	have	VERB
cana-1633	177	5	the	the	DET
cana-1633	177	6	quickest	quick	ADJ
cana-1633	177	7	processing	processing	NOUN
cana-1633	177	8	time	time	NOUN
cana-1633	177	9	at	at	ADP
cana-1633	177	10	100	100	NUM
cana-1633	177	11	ms	ms	NOUN
cana-1633	177	12	,	,	PUNCT
cana-1633	177	13	while	while	SCONJ
cana-1633	177	14	random	random	ADJ
cana-1633	177	15	forest	forest	NOUN
cana-1633	177	16	has	have	VERB
cana-1633	177	17	the	the	DET
cana-1633	177	18	slowest	slow	ADJ
cana-1633	177	19	at	at	ADP
cana-1633	177	20	180	180	NUM
cana-1633	177	21	ms	ms	PROPN
cana-1633	177	22	.	.	PROPN
cana-1633	177	23	cnn	cnn	PROPN
cana-1633	177	24	is	be	AUX
cana-1633	177	25	at	at	ADP
cana-1633	177	26	150	150	NUM
cana-1633	177	27	ms	ms	NOUN
cana-1633	177	28	and	and	CCONJ
cana-1633	177	29	svm	svm	PROPN
cana-1633	177	30	is	be	AUX
cana-1633	177	31	at	at	ADP
cana-1633	177	32	120	120	NUM
cana-1633	177	33	ms	ms	NOUN
cana-1633	177	34	,	,	PUNCT
cana-1633	177	35	which	which	PRON
cana-1633	177	36	is	be	AUX
cana-1633	177	37	in	in	ADP
cana-1633	177	38	the	the	DET
cana-1633	177	39	middle	middle	NOUN
cana-1633	177	40	.	.	PUNCT
cana-1633	178	1	this	this	DET
cana-1633	178	2	two	two	NUM
cana-1633	178	3	-	-	PUNCT
cana-1633	178	4	axis	axis	NOUN
cana-1633	178	5	graph	graph	NOUN
cana-1633	178	6	does	do	VERB
cana-1633	178	7	a	a	DET
cana-1633	178	8	good	good	ADJ
cana-1633	178	9	job	job	NOUN
cana-1633	178	10	of	of	ADP
cana-1633	178	11	showing	show	VERB
cana-1633	178	12	how	how	SCONJ
cana-1633	178	13	the	the	DET
cana-1633	178	14	algorithms	algorithm	NOUN
cana-1633	178	15	trade	trade	VERB
cana-1633	178	16	off	off	ADP
cana-1633	178	17	data	datum	NOUN
cana-1633	178	18	quality	quality	NOUN
cana-1633	178	19	and	and	CCONJ
cana-1633	178	20	processing	processing	NOUN
cana-1633	178	21	speed	speed	NOUN
cana-1633	178	22	.	.	PUNCT
cana-1633	179	1	figure	figure	VERB
cana-1633	179	2	4	4	NUM
cana-1633	179	3	:	:	PUNCT
cana-1633	179	4	representation	representation	NOUN
cana-1633	179	5	of	of	ADP
cana-1633	179	6	mean	mean	ADJ
cana-1633	179	7	squared	square	VERB
cana-1633	179	8	error	error	NOUN
cana-1633	179	9	figure	figure	NOUN
cana-1633	179	10	(	(	PUNCT
cana-1633	179	11	4	4	NUM
cana-1633	179	12	)	)	PUNCT
cana-1633	179	13	shows	show	VERB
cana-1633	179	14	the	the	DET
cana-1633	179	15	mean	mean	ADJ
cana-1633	179	16	squared	square	VERB
cana-1633	179	17	error	error	NOUN
cana-1633	179	18	(	(	PUNCT
cana-1633	179	19	mse	mse	NOUN
cana-1633	179	20	)	)	PUNCT
cana-1633	179	21	numbers	number	NOUN
cana-1633	179	22	for	for	ADP
cana-1633	179	23	cnn	cnn	PROPN
cana-1633	179	24	,	,	PUNCT
cana-1633	179	25	svm	svm	ADJ
cana-1633	179	26	,	,	PUNCT
cana-1633	179	27	random	random	ADJ
cana-1633	179	28	forest	forest	NOUN
cana-1633	179	29	,	,	PUNCT
cana-1633	179	30	and	and	CCONJ
cana-1633	179	31	knn	knn	PROPN
cana-1633	179	32	,	,	PUNCT
cana-1633	179	33	which	which	PRON
cana-1633	179	34	are	be	AUX
cana-1633	179	35	four	four	NUM
cana-1633	179	36	different	different	ADJ
cana-1633	179	37	algorithms	algorithm	NOUN
cana-1633	179	38	.	.	PUNCT
cana-1633	180	1	the	the	DET
cana-1633	180	2	methods	method	NOUN
cana-1633	180	3	are	be	AUX
cana-1633	180	4	shown	show	VERB
cana-1633	180	5	on	on	ADP
cana-1633	180	6	the	the	DET
cana-1633	180	7	x	x	NOUN
cana-1633	180	8	-	-	NOUN
cana-1633	180	9	axis	axis	ADJ
cana-1633	180	10	,	,	PUNCT
cana-1633	180	11	and	and	CCONJ
cana-1633	180	12	the	the	DET
cana-1633	180	13	mse	mse	NOUN
cana-1633	180	14	rates	rate	NOUN
cana-1633	180	15	are	be	AUX
cana-1633	180	16	shown	show	VERB
cana-1633	180	17	on	on	ADP
cana-1633	180	18	the	the	DET
cana-1633	180	19	y	y	NOUN
cana-1633	180	20	-	-	PUNCT
cana-1633	180	21	axis	axis	NOUN
cana-1633	180	22	.	.	PUNCT
cana-1633	181	1	there	there	PRON
cana-1633	181	2	are	be	VERB
cana-1633	181	3	round	round	ADJ
cana-1633	181	4	points	point	NOUN
cana-1633	181	5	on	on	ADP
cana-1633	181	6	the	the	DET
cana-1633	181	7	line	line	NOUN
cana-1633	181	8	graph	graph	NOUN
cana-1633	181	9	to	to	PART
cana-1633	181	10	show	show	VERB
cana-1633	181	11	the	the	DET
cana-1633	181	12	mse	mse	NOUN
cana-1633	181	13	for	for	ADP
cana-1633	181	14	each	each	DET
cana-1633	181	15	method	method	NOUN
cana-1633	181	16	.	.	PUNCT
cana-1633	182	1	cnn	cnn	PROPN
cana-1633	182	2	has	have	VERB
cana-1633	182	3	the	the	DET
cana-1633	182	4	lowest	low	ADJ
cana-1633	182	5	mse	mse	NOUN
cana-1633	182	6	(	(	PUNCT
cana-1633	182	7	0.02	0.02	NUM
cana-1633	182	8	%	%	NOUN
cana-1633	182	9	)	)	PUNCT
cana-1633	182	10	,	,	PUNCT
cana-1633	182	11	which	which	PRON
cana-1633	182	12	means	mean	VERB
cana-1633	182	13	it	it	PRON
cana-1633	182	14	is	be	AUX
cana-1633	182	15	the	the	DET
cana-1633	182	16	most	most	ADV
cana-1633	182	17	accurate	accurate	ADJ
cana-1633	182	18	,	,	PUNCT
cana-1633	182	19	while	while	SCONJ
cana-1633	182	20	k	k	PROPN
cana-1633	182	21	-	-	PUNCT
cana-1633	182	22	nn	nn	PROPN
cana-1633	182	23	has	have	VERB
cana-1633	182	24	the	the	DET
cana-1633	182	25	highest	high	ADJ
cana-1633	182	26	mse	mse	NOUN
cana-1633	182	27	(	(	PUNCT
cana-1633	182	28	0.06	0.06	NUM
cana-1633	182	29	%	%	NOUN
cana-1633	182	30	)	)	PUNCT
cana-1633	182	31	,	,	PUNCT
cana-1633	182	32	which	which	PRON
cana-1633	182	33	means	mean	VERB
cana-1633	182	34	it	it	PRON
cana-1633	182	35	is	be	AUX
cana-1633	182	36	the	the	DET
cana-1633	182	37	least	least	ADJ
cana-1633	182	38	accurate	accurate	ADJ
cana-1633	182	39	.	.	PUNCT
cana-1633	183	1	it	it	PRON
cana-1633	183	2	's	be	AUX
cana-1633	183	3	easy	easy	ADJ
cana-1633	183	4	to	to	PART
cana-1633	183	5	see	see	VERB
cana-1633	183	6	the	the	DET
cana-1633	183	7	changes	change	NOUN
cana-1633	183	8	in	in	ADP
cana-1633	183	9	performance	performance	NOUN
cana-1633	183	10	on	on	ADP
cana-1633	183	11	the	the	DET
cana-1633	183	12	graph	graph	NOUN
cana-1633	183	13	,	,	PUNCT
cana-1633	183	14	which	which	PRON
cana-1633	183	15	shows	show	VERB
cana-1633	183	16	that	that	SCONJ
cana-1633	183	17	mistake	mistake	NOUN
cana-1633	183	18	rates	rate	NOUN
cana-1633	183	19	are	be	AUX
cana-1633	183	20	going	go	VERB
cana-1633	183	21	up	up	ADP
cana-1633	183	22	from	from	ADP
cana-1633	183	23	cnn	cnn	PROPN
cana-1633	183	24	to	to	ADP
cana-1633	183	25	k	k	PROPN
cana-1633	183	26	-	-	PUNCT
cana-1633	183	27	nn	nn	PROPN
cana-1633	183	28	.	.	PROPN
cana-1633	183	29	8	8	NUM
cana-1633	183	30	.	.	PUNCT
cana-1633	184	1	conclusion	conclusion	NOUN
cana-1633	184	2	within	within	ADP
cana-1633	184	3	the	the	DET
cana-1633	184	4	field	field	NOUN
cana-1633	184	5	of	of	ADP
cana-1633	184	6	hardware	hardware	NOUN
cana-1633	184	7	,	,	PUNCT
cana-1633	184	8	utilizing	utilize	VERB
cana-1633	184	9	complex	complex	ADJ
cana-1633	184	10	numerical	numerical	ADJ
cana-1633	184	11	strategies	strategy	NOUN
cana-1633	184	12	has	have	AUX
cana-1633	184	13	been	be	AUX
cana-1633	184	14	key	key	ADJ
cana-1633	184	15	to	to	ADP
cana-1633	184	16	making	make	VERB
cana-1633	184	17	strides	stride	NOUN
cana-1633	184	18	information	information	NOUN
cana-1633	184	19	preparing	prepare	VERB
cana-1633	184	20	,	,	PUNCT
cana-1633	184	21	which	which	PRON
cana-1633	184	22	has	have	AUX
cana-1633	184	23	driven	drive	VERB
cana-1633	184	24	to	to	ADP
cana-1633	184	25	more	more	ADV
cana-1633	184	26	precise	precise	ADJ
cana-1633	184	27	and	and	CCONJ
cana-1633	184	28	efficient	efficient	ADJ
cana-1633	184	29	systems	system	NOUN
cana-1633	184	30	.	.	PUNCT
cana-1633	185	1	a	a	DET
cana-1633	185	2	few	few	ADJ
cana-1633	185	3	of	of	ADP
cana-1633	185	4	the	the	DET
cana-1633	185	5	foremost	foremost	ADJ
cana-1633	185	6	vital	vital	ADJ
cana-1633	185	7	methods	method	NOUN
cana-1633	185	8	for	for	ADP
cana-1633	185	9	way	way	NOUN
cana-1633	185	10	better	well	ADJ
cana-1633	185	11	flag	flag	NOUN
cana-1633	185	12	examination	examination	NOUN
cana-1633	185	13	and	and	CCONJ
cana-1633	185	14	clamor	clamor	PROPN
cana-1633	185	15	diminishment	diminishment	NOUN
cana-1633	185	16	are	be	AUX
cana-1633	185	17	fourier	fourier	ADJ
cana-1633	185	18	changes	change	NOUN
cana-1633	185	19	,	,	PUNCT
cana-1633	185	20	wavelet	wavelet	NOUN
cana-1633	185	21	examination	examination	NOUN
cana-1633	185	22	,	,	PUNCT
cana-1633	185	23	and	and	CCONJ
cana-1633	185	24	kalman	kalman	NOUN
cana-1633	185	25	sifting	sifting	NOUN
cana-1633	185	26	.	.	PUNCT
cana-1633	186	1	for	for	ADP
cana-1633	186	2	illustration	illustration	NOUN
cana-1633	186	3	,	,	PUNCT
cana-1633	186	4	the	the	DET
cana-1633	186	5	fourier	fourier	NOUN
cana-1633	186	6	change	change	NOUN
cana-1633	186	7	breaks	break	VERB
cana-1633	186	8	down	down	ADP
cana-1633	186	9	information	information	NOUN
cana-1633	186	10	into	into	ADP
cana-1633	186	11	communications	communication	NOUN
cana-1633	186	12	on	on	ADP
cana-1633	186	13	applied	apply	VERB
cana-1633	186	14	nonlinear	nonlinear	ADJ
cana-1633	186	15	analysis	analysis	NOUN
cana-1633	186	16	issn	issn	NOUN
cana-1633	186	17	:	:	PUNCT
cana-1633	186	18	1074	1074	NUM
cana-1633	186	19	-	-	PUNCT
cana-1633	186	20	133x	133x	NUM
cana-1633	186	21	vol	vol	NOUN
cana-1633	186	22	32	32	NUM
cana-1633	186	23	no	no	NOUN
cana-1633	186	24	.	.	NOUN
cana-1633	186	25	1	1	NUM
cana-1633	186	26	(	(	PUNCT
cana-1633	186	27	2025	2025	NUM
cana-1633	186	28	)	)	PUNCT
cana-1633	186	29	237	237	NUM
cana-1633	186	30	https://internationalpubls.com	https://internationalpubls.com	X
cana-1633	186	31	their	their	PRON
cana-1633	186	32	person	person	NOUN
cana-1633	186	33	frequencies	frequency	NOUN
cana-1633	186	34	,	,	PUNCT
cana-1633	186	35	which	which	PRON
cana-1633	186	36	makes	make	VERB
cana-1633	186	37	sifting	sift	VERB
cana-1633	186	38	and	and	CCONJ
cana-1633	186	39	compression	compression	VERB
cana-1633	186	40	work	work	NOUN
cana-1633	186	41	way	way	ADV
cana-1633	186	42	better	well	ADV
cana-1633	186	43	.	.	PUNCT
cana-1633	187	1	wavelet	wavelet	NOUN
cana-1633	187	2	examination	examination	NOUN
cana-1633	187	3	employments	employment	NOUN
cana-1633	187	4	more	more	ADJ
cana-1633	187	5	than	than	ADP
cana-1633	187	6	one	one	NUM
cana-1633	187	7	determination	determination	NOUN
cana-1633	187	8	,	,	PUNCT
cana-1633	187	9	which	which	PRON
cana-1633	187	10	makes	make	VERB
cana-1633	187	11	a	a	DET
cana-1633	187	12	difference	difference	NOUN
cana-1633	187	13	a	a	DET
cana-1633	187	14	part	part	NOUN
cana-1633	187	15	when	when	SCONJ
cana-1633	187	16	looking	look	VERB
cana-1633	187	17	at	at	ADP
cana-1633	187	18	signals	signal	NOUN
cana-1633	187	19	that	that	PRON
cana-1633	187	20	do	do	AUX
cana-1633	187	21	not	not	PART
cana-1633	187	22	remain	remain	VERB
cana-1633	187	23	in	in	ADP
cana-1633	187	24	one	one	NUM
cana-1633	187	25	put	put	VERB
cana-1633	187	26	and	and	CCONJ
cana-1633	187	27	finding	find	VERB
cana-1633	187	28	changing	change	VERB
cana-1633	187	29	highlights	highlight	NOUN
cana-1633	187	30	that	that	SCONJ
cana-1633	187	31	other	other	ADJ
cana-1633	187	32	strategies	strategy	NOUN
cana-1633	187	33	might	might	AUX
cana-1633	187	34	miss	miss	VERB
cana-1633	187	35	.	.	PUNCT
cana-1633	188	1	a	a	DET
cana-1633	188	2	recursive	recursive	ADJ
cana-1633	188	3	strategy	strategy	NOUN
cana-1633	188	4	called	call	VERB
cana-1633	188	5	kalman	kalman	NOUN
cana-1633	188	6	sifting	sifting	NOUN
cana-1633	188	7	is	be	AUX
cana-1633	188	8	required	require	VERB
cana-1633	188	9	for	for	ADP
cana-1633	188	10	exact	exact	ADJ
cana-1633	188	11	gauges	gauge	NOUN
cana-1633	188	12	in	in	ADP
cana-1633	188	13	boisterous	boisterous	ADJ
cana-1633	188	14	settings	setting	NOUN
cana-1633	188	15	.	.	PUNCT
cana-1633	189	1	it	it	PRON
cana-1633	189	2	permits	permit	VERB
cana-1633	189	3	for	for	ADP
cana-1633	189	4	real	real	ADJ
cana-1633	189	5	-	-	PUNCT
cana-1633	189	6	time	time	NOUN
cana-1633	189	7	flag	flag	NOUN
cana-1633	189	8	preparing	prepare	VERB
cana-1633	189	9	with	with	ADP
cana-1633	189	10	lower	low	ADJ
cana-1633	189	11	blunder	blunder	NOUN
cana-1633	189	12	rates	rate	NOUN
cana-1633	189	13	.	.	PUNCT
cana-1633	190	1	a	a	DET
cana-1633	190	2	lot	lot	NOUN
cana-1633	190	3	of	of	ADP
cana-1633	190	4	tracking	tracking	NOUN
cana-1633	190	5	and	and	CCONJ
cana-1633	190	6	control	control	NOUN
cana-1633	190	7	systems	system	NOUN
cana-1633	190	8	use	use	VERB
cana-1633	190	9	this	this	DET
cana-1633	190	10	method	method	NOUN
cana-1633	190	11	because	because	SCONJ
cana-1633	190	12	they	they	PRON
cana-1633	190	13	need	need	VERB
cana-1633	190	14	to	to	PART
cana-1633	190	15	be	be	AUX
cana-1633	190	16	able	able	ADJ
cana-1633	190	17	to	to	PART
cana-1633	190	18	take	take	VERB
cana-1633	190	19	very	very	ADV
cana-1633	190	20	accurate	accurate	ADJ
cana-1633	190	21	readings	reading	NOUN
cana-1633	190	22	.	.	PUNCT
cana-1633	191	1	also	also	ADV
cana-1633	191	2	,	,	PUNCT
cana-1633	191	3	methods	method	NOUN
cana-1633	191	4	like	like	ADP
cana-1633	191	5	adaptable	adaptable	ADJ
cana-1633	191	6	filtering	filtering	NOUN
cana-1633	191	7	and	and	CCONJ
cana-1633	191	8	machine	machine	NOUN
cana-1633	191	9	learning	learn	VERB
cana-1633	191	10	algorithms	algorithm	NOUN
cana-1633	191	11	help	help	VERB
cana-1633	191	12	to	to	PART
cana-1633	191	13	change	change	VERB
cana-1633	191	14	filters	filter	NOUN
cana-1633	191	15	and	and	CCONJ
cana-1633	191	16	make	make	VERB
cana-1633	191	17	predictions	prediction	NOUN
cana-1633	191	18	on	on	ADP
cana-1633	191	19	the	the	DET
cana-1633	191	20	fly	fly	NOUN
cana-1633	191	21	,	,	PUNCT
cana-1633	191	22	which	which	PRON
cana-1633	191	23	improves	improve	VERB
cana-1633	191	24	the	the	DET
cana-1633	191	25	clarity	clarity	NOUN
cana-1633	191	26	of	of	ADP
cana-1633	191	27	signals	signal	NOUN
cana-1633	191	28	and	and	CCONJ
cana-1633	191	29	the	the	DET
cana-1633	191	30	speed	speed	NOUN
cana-1633	191	31	of	of	ADP
cana-1633	191	32	processing	processing	NOUN
cana-1633	191	33	.	.	PUNCT
cana-1633	192	1	when	when	SCONJ
cana-1633	192	2	these	these	DET
cana-1633	192	3	mathematical	mathematical	ADJ
cana-1633	192	4	techniques	technique	NOUN
cana-1633	192	5	are	be	AUX
cana-1633	192	6	used	use	VERB
cana-1633	192	7	in	in	ADP
cana-1633	192	8	electronic	electronic	ADJ
cana-1633	192	9	signal	signal	NOUN
cana-1633	192	10	processing	processing	NOUN
cana-1633	192	11	,	,	PUNCT
cana-1633	192	12	they	they	PRON
cana-1633	192	13	not	not	PART
cana-1633	192	14	only	only	ADV
cana-1633	192	15	improve	improve	VERB
cana-1633	192	16	the	the	DET
cana-1633	192	17	quality	quality	NOUN
cana-1633	192	18	of	of	ADP
cana-1633	192	19	signal	signal	ADJ
cana-1633	192	20	collection	collection	NOUN
cana-1633	192	21	and	and	CCONJ
cana-1633	192	22	analysis	analysis	NOUN
cana-1633	192	23	,	,	PUNCT
cana-1633	192	24	but	but	CCONJ
cana-1633	192	25	they	they	PRON
cana-1633	192	26	also	also	ADV
cana-1633	192	27	make	make	VERB
cana-1633	192	28	it	it	PRON
cana-1633	192	29	easier	easy	ADJ
cana-1633	192	30	to	to	PART
cana-1633	192	31	make	make	VERB
cana-1633	192	32	electronic	electronic	ADJ
cana-1633	192	33	systems	system	NOUN
cana-1633	192	34	that	that	PRON
cana-1633	192	35	are	be	AUX
cana-1633	192	36	more	more	ADV
cana-1633	192	37	complex	complex	ADJ
cana-1633	192	38	and	and	CCONJ
cana-1633	192	39	effective	effective	ADJ
cana-1633	192	40	.	.	PUNCT
cana-1633	193	1	these	these	DET
cana-1633	193	2	improvements	improvement	NOUN
cana-1633	193	3	help	help	VERB
cana-1633	193	4	a	a	DET
cana-1633	193	5	lot	lot	NOUN
cana-1633	193	6	of	of	ADP
cana-1633	193	7	different	different	ADJ
cana-1633	193	8	areas	area	NOUN
cana-1633	193	9	,	,	PUNCT
cana-1633	193	10	from	from	ADP
cana-1633	193	11	medical	medical	ADJ
cana-1633	193	12	scans	scan	NOUN
cana-1633	193	13	and	and	CCONJ
cana-1633	193	14	tracking	tracking	NOUN
cana-1633	193	15	systems	system	NOUN
cana-1633	193	16	to	to	ADP
cana-1633	193	17	telecoms	telecom	NOUN
cana-1633	193	18	and	and	CCONJ
cana-1633	193	19	music	music	NOUN
cana-1633	193	20	processing	processing	NOUN
cana-1633	193	21	.	.	PUNCT
cana-1633	194	1	as	as	SCONJ
cana-1633	194	2	electronics	electronic	NOUN
cana-1633	194	3	keep	keep	VERB
cana-1633	194	4	getting	get	VERB
cana-1633	194	5	better	well	ADJ
cana-1633	194	6	,	,	PUNCT
cana-1633	194	7	mathematical	mathematical	ADJ
cana-1633	194	8	methods	method	NOUN
cana-1633	194	9	will	will	AUX
cana-1633	194	10	still	still	ADV
cana-1633	194	11	be	be	AUX
cana-1633	194	12	very	very	ADV
cana-1633	194	13	important	important	ADJ
cana-1633	194	14	for	for	ADP
cana-1633	194	15	coming	come	VERB
cana-1633	194	16	up	up	ADP
cana-1633	194	17	with	with	ADP
cana-1633	194	18	new	new	ADJ
cana-1633	194	19	ideas	idea	NOUN
cana-1633	194	20	that	that	PRON
cana-1633	194	21	boost	boost	VERB
cana-1633	194	22	signal	signal	ADJ
cana-1633	194	23	quality	quality	NOUN
cana-1633	194	24	,	,	PUNCT
cana-1633	194	25	system	system	NOUN
cana-1633	194	26	performance	performance	NOUN
cana-1633	194	27	,	,	PUNCT
cana-1633	194	28	and	and	CCONJ
cana-1633	194	29	total	total	ADJ
cana-1633	194	30	technology	technology	NOUN
cana-1633	194	31	progress	progress	NOUN
cana-1633	194	32	.	.	PUNCT
cana-1633	195	1	as	as	SCONJ
cana-1633	195	2	these	these	DET
cana-1633	195	3	methods	method	NOUN
cana-1633	195	4	are	be	AUX
cana-1633	195	5	studied	study	VERB
cana-1633	195	6	and	and	CCONJ
cana-1633	195	7	used	use	VERB
cana-1633	195	8	more	more	ADJ
cana-1633	195	9	,	,	PUNCT
cana-1633	195	10	they	they	PRON
cana-1633	195	11	will	will	AUX
cana-1633	195	12	continue	continue	VERB
cana-1633	195	13	to	to	PART
cana-1633	195	14	make	make	VERB
cana-1633	195	15	it	it	PRON
cana-1633	195	16	easier	easy	ADJ
cana-1633	195	17	to	to	PART
cana-1633	195	18	process	process	VERB
cana-1633	195	19	electronic	electronic	ADJ
cana-1633	195	20	signals	signal	NOUN
cana-1633	195	21	.	.	PUNCT
cana-1633	196	1	this	this	PRON
cana-1633	196	2	will	will	AUX
cana-1633	196	3	make	make	VERB
cana-1633	196	4	future	future	ADJ
cana-1633	196	5	systems	system	NOUN
cana-1633	196	6	better	well	ADV
cana-1633	196	7	able	able	ADJ
cana-1633	196	8	to	to	PART
cana-1633	196	9	handle	handle	VERB
cana-1633	196	10	complex	complex	ADJ
cana-1633	196	11	signal	signal	ADJ
cana-1633	196	12	settings	setting	NOUN
cana-1633	196	13	.	.	PUNCT
cana-1633	197	1	references	reference	NOUN
cana-1633	197	2	[	[	X
cana-1633	197	3	1	1	NUM
cana-1633	197	4	]	]	PUNCT
cana-1633	197	5	h.	h.	PROPN
cana-1633	197	6	wang	wang	PROPN
cana-1633	197	7	,	,	PUNCT
cana-1633	197	8	t.	t.	PROPN
cana-1633	197	9	shan	shan	PROPN
cana-1633	197	10	,	,	PUNCT
cana-1633	197	11	x.	x.	PROPN
cana-1633	197	12	qiao	qiao	PROPN
cana-1633	197	13	and	and	CCONJ
cana-1633	197	14	h.	h.	PROPN
cana-1633	197	15	cheng	cheng	PROPN
cana-1633	197	16	,	,	PUNCT
cana-1633	197	17	"	"	PUNCT
cana-1633	197	18	research	research	NOUN
cana-1633	197	19	on	on	ADP
cana-1633	197	20	the	the	DET
cana-1633	197	21	design	design	NOUN
cana-1633	197	22	of	of	ADP
cana-1633	197	23	fpga	fpga	PROPN
cana-1633	197	24	-	-	PUNCT
cana-1633	197	25	based	base	VERB
cana-1633	197	26	radar	radar	NOUN
cana-1633	197	27	signal	signal	NOUN
cana-1633	197	28	processing	processing	NOUN
cana-1633	197	29	system	system	NOUN
cana-1633	197	30	,	,	PUNCT
cana-1633	197	31	"	"	PUNCT
cana-1633	197	32	2021	2021	NUM
cana-1633	197	33	7th	7th	ADJ
cana-1633	197	34	international	international	ADJ
cana-1633	197	35	conference	conference	NOUN
cana-1633	197	36	on	on	ADP
cana-1633	197	37	condition	condition	NOUN
cana-1633	197	38	monitoring	monitoring	NOUN
cana-1633	197	39	of	of	ADP
cana-1633	197	40	machinery	machinery	NOUN
cana-1633	197	41	in	in	ADP
cana-1633	197	42	non	non	ADJ
cana-1633	197	43	-	-	ADJ
cana-1633	197	44	stationary	stationary	ADJ
cana-1633	197	45	operations	operation	NOUN
cana-1633	197	46	(	(	PUNCT
cana-1633	197	47	cmmno	cmmno	PROPN
cana-1633	197	48	)	)	PUNCT
cana-1633	197	49	,	,	PUNCT
cana-1633	197	50	guangzhou	guangzhou	PROPN
cana-1633	197	51	,	,	PUNCT
cana-1633	197	52	china	china	PROPN
cana-1633	197	53	,	,	PUNCT
cana-1633	197	54	2021	2021	NUM
cana-1633	197	55	,	,	PUNCT
cana-1633	197	56	pp	pp	ADJ
cana-1633	197	57	.	.	PUNCT
cana-1633	198	1	36	36	NUM
cana-1633	198	2	-	-	SYM
cana-1633	198	3	39	39	NUM
cana-1633	199	1	[	[	X
cana-1633	199	2	2	2	NUM
cana-1633	199	3	]	]	X
cana-1633	199	4	zhou	zhou	X
cana-1633	199	5	lirong	lirong	ADJ
cana-1633	199	6	,	,	PUNCT
cana-1633	199	7	"	"	PUNCT
cana-1633	199	8	application	application	NOUN
cana-1633	199	9	of	of	ADP
cana-1633	199	10	fpga	fpga	PROPN
cana-1633	199	11	-	-	PUNCT
cana-1633	199	12	based	base	VERB
cana-1633	199	13	data	data	NOUN
cana-1633	199	14	processing	processing	NOUN
cana-1633	199	15	technology	technology	NOUN
cana-1633	199	16	in	in	ADP
cana-1633	199	17	digital	digital	ADJ
cana-1633	199	18	signal	signal	NOUN
cana-1633	199	19	processing	processing	NOUN
cana-1633	199	20	of	of	ADP
cana-1633	199	21	navigation	navigation	NOUN
cana-1633	199	22	radar	radar	NOUN
cana-1633	200	1	[	[	X
cana-1633	200	2	j	j	X
cana-1633	200	3	]	]	X
cana-1633	200	4	"	"	PUNCT
cana-1633	200	5	,	,	PUNCT
cana-1633	200	6	ship	ship	NOUN
cana-1633	200	7	science	science	NOUN
cana-1633	200	8	and	and	CCONJ
cana-1633	200	9	technology	technology	NOUN
cana-1633	200	10	,	,	PUNCT
cana-1633	200	11	vol	vol	NOUN
cana-1633	200	12	.	.	PROPN
cana-1633	200	13	41	41	NUM
cana-1633	200	14	,	,	PUNCT
cana-1633	200	15	no	no	INTJ
cana-1633	200	16	.	.	NOUN
cana-1633	200	17	20	20	NUM
cana-1633	200	18	,	,	PUNCT
cana-1633	200	19	pp	pp	ADJ
cana-1633	200	20	.	.	PUNCT
cana-1633	201	1	100	100	NUM
cana-1633	201	2	-	-	SYM
cana-1633	201	3	102	102	NUM
cana-1633	201	4	,	,	PUNCT
cana-1633	201	5	2019	2019	NUM
cana-1633	201	6	.	.	PUNCT
cana-1633	202	1	[	[	X
cana-1633	202	2	3	3	X
cana-1633	202	3	]	]	X
cana-1633	202	4	gao	gao	PROPN
cana-1633	202	5	xing	xing	PROPN
cana-1633	202	6	,	,	PUNCT
cana-1633	202	7	"	"	PUNCT
cana-1633	202	8	design	design	NOUN
cana-1633	202	9	and	and	CCONJ
cana-1633	202	10	implementation	implementation	NOUN
cana-1633	202	11	of	of	ADP
cana-1633	202	12	linear	linear	PROPN
cana-1633	202	13	fm	fm	PROPN
cana-1633	202	14	continuous	continuous	ADJ
cana-1633	202	15	wave	wave	NOUN
cana-1633	202	16	radar	radar	NOUN
cana-1633	202	17	signal	signal	NOUN
cana-1633	202	18	processing	processing	NOUN
cana-1633	202	19	based	base	VERB
cana-1633	202	20	on	on	ADP
cana-1633	202	21	fpga[j	fpga[j	ADJ
cana-1633	202	22	]	]	PUNCT
cana-1633	202	23	"	"	PUNCT
cana-1633	202	24	,	,	PUNCT
cana-1633	202	25	ship	ship	NOUN
cana-1633	202	26	electronic	electronic	ADJ
cana-1633	202	27	countermeasures	countermeasure	NOUN
cana-1633	202	28	,	,	PUNCT
cana-1633	202	29	vol	vol	NOUN
cana-1633	202	30	.	.	PROPN
cana-1633	203	1	42	42	NUM
cana-1633	203	2	,	,	PUNCT
cana-1633	203	3	no	no	INTJ
cana-1633	203	4	.	.	NOUN
cana-1633	203	5	01	01	NUM
cana-1633	203	6	,	,	PUNCT
cana-1633	203	7	pp	pp	ADJ
cana-1633	203	8	.	.	PUNCT
cana-1633	204	1	83	83	NUM
cana-1633	204	2	-	-	SYM
cana-1633	204	3	85	85	NUM
cana-1633	204	4	,	,	PUNCT
cana-1633	204	5	2019	2019	NUM
cana-1633	204	6	.	.	PUNCT
cana-1633	205	1	[	[	X
cana-1633	205	2	4	4	NUM
cana-1633	205	3	]	]	X
cana-1633	205	4	y.	y.	PROPN
cana-1633	205	5	deng	deng	PROPN
cana-1633	205	6	,	,	PUNCT
cana-1633	205	7	z.	z.	PROPN
cana-1633	205	8	fang	fang	PROPN
cana-1633	205	9	,	,	PUNCT
cana-1633	205	10	h.	h.	PROPN
cana-1633	205	11	peng	peng	PROPN
cana-1633	205	12	,	,	PUNCT
cana-1633	205	13	w.	w.	PROPN
cana-1633	205	14	feng	feng	PROPN
cana-1633	205	15	and	and	CCONJ
cana-1633	205	16	y.	y.	PROPN
cana-1633	205	17	liu	liu	PROPN
cana-1633	205	18	,	,	PUNCT
cana-1633	205	19	"	"	PUNCT
cana-1633	205	20	study	study	NOUN
cana-1633	205	21	on	on	ADP
cana-1633	205	22	adaptive	adaptive	ADJ
cana-1633	205	23	kalman	kalman	NOUN
cana-1633	205	24	filtering	filtering	NOUN
cana-1633	205	25	based	base	VERB
cana-1633	205	26	on	on	ADP
cana-1633	205	27	new	new	ADJ
cana-1633	205	28	interest	interest	NOUN
cana-1633	205	29	mutation	mutation	NOUN
cana-1633	205	30	constraints	constraint	NOUN
cana-1633	205	31	"	"	PUNCT
cana-1633	205	32	,	,	PUNCT
cana-1633	205	33	piezoelectrics	piezoelectric	NOUN
cana-1633	205	34	&	&	CCONJ
cana-1633	205	35	acoustooptics	acoustooptics	PROPN
cana-1633	205	36	,	,	PUNCT
cana-1633	205	37	vol	vol	NOUN
cana-1633	205	38	.	.	PROPN
cana-1633	205	39	44	44	NUM
cana-1633	205	40	,	,	PUNCT
cana-1633	205	41	pp	pp	ADJ
cana-1633	205	42	.	.	PUNCT
cana-1633	206	1	491	491	NUM
cana-1633	206	2	-	-	SYM
cana-1633	206	3	496	496	NUM
cana-1633	206	4	,	,	PUNCT
cana-1633	206	5	2022	2022	NUM
cana-1633	206	6	.	.	PUNCT
cana-1633	207	1	[	[	X
cana-1633	207	2	5	5	X
cana-1633	207	3	]	]	PUNCT
cana-1633	207	4	wang	wang	PROPN
cana-1633	207	5	lu	lu	PROPN
cana-1633	207	6	,	,	PUNCT
cana-1633	207	7	wang	wang	PROPN
cana-1633	207	8	hong	hong	PROPN
cana-1633	207	9	and	and	CCONJ
cana-1633	207	10	chen	chen	PROPN
cana-1633	207	11	guoping	guoping	PROPN
cana-1633	207	12	,	,	PUNCT
cana-1633	207	13	"	"	PUNCT
cana-1633	207	14	weak	weak	ADJ
cana-1633	207	15	signal	signal	NOUN
cana-1633	207	16	detector	detector	NOUN
cana-1633	207	17	based	base	VERB
cana-1633	207	18	on	on	ADP
cana-1633	207	19	all	all	DET
cana-1633	207	20	-	-	PUNCT
cana-1633	207	21	digital	digital	ADJ
cana-1633	207	22	phase	phase	NOUN
cana-1633	207	23	-	-	PUNCT
cana-1633	207	24	shifting	shift	VERB
cana-1633	207	25	lock	lock	NOUN
cana-1633	207	26	-	-	PUNCT
cana-1633	207	27	in	in	ADP
cana-1633	207	28	method	method	NOUN
cana-1633	207	29	"	"	PUNCT
cana-1633	207	30	,	,	PUNCT
cana-1633	207	31	journal	journal	NOUN
cana-1633	207	32	of	of	ADP
cana-1633	207	33	shandong	shandong	PROPN
cana-1633	207	34	university(engineering	university(engineering	PROPN
cana-1633	207	35	science	science	NOUN
cana-1633	207	36	)	)	PUNCT
cana-1633	207	37	,	,	PUNCT
cana-1633	207	38	vol	vol	NOUN
cana-1633	207	39	.	.	PROPN
cana-1633	207	40	49	49	NUM
cana-1633	207	41	,	,	PUNCT
cana-1633	207	42	no	no	INTJ
cana-1633	207	43	.	.	NOUN
cana-1633	207	44	4	4	NUM
cana-1633	207	45	,	,	PUNCT
cana-1633	207	46	pp	pp	ADJ
cana-1633	207	47	.	.	PUNCT
cana-1633	208	1	24	24	NUM
cana-1633	208	2	-	-	SYM
cana-1633	208	3	28	28	NUM
cana-1633	208	4	,	,	PUNCT
cana-1633	208	5	2019	2019	NUM
cana-1633	208	6	.	.	PUNCT
cana-1633	209	1	[	[	X
cana-1633	209	2	6	6	NUM
cana-1633	209	3	]	]	PUNCT
cana-1633	209	4	s.	s.	PROPN
cana-1633	209	5	sabapathy	sabapathy	PROPN
cana-1633	209	6	,	,	PUNCT
cana-1633	209	7	j.	j.	PROPN
cana-1633	209	8	s.	s.	PROPN
cana-1633	209	9	prabhu	prabhu	PROPN
cana-1633	209	10	,	,	PUNCT
cana-1633	209	11	s.	s.	PROPN
cana-1633	209	12	maruthu	maruthu	PROPN
cana-1633	209	13	and	and	CCONJ
cana-1633	209	14	d.	d.	PROPN
cana-1633	209	15	n.	n.	PROPN
cana-1633	209	16	k.	k.	PROPN
cana-1633	209	17	jayakody	jayakody	NOUN
cana-1633	209	18	,	,	PUNCT
cana-1633	209	19	"	"	PUNCT
cana-1633	209	20	profuse	profuse	VERB
cana-1633	209	21	channel	channel	NOUN
cana-1633	209	22	estimation	estimation	NOUN
cana-1633	209	23	and	and	CCONJ
cana-1633	209	24	signal	signal	NOUN
cana-1633	209	25	detection	detection	NOUN
cana-1633	209	26	techniques	technique	NOUN
cana-1633	209	27	for	for	ADP
cana-1633	209	28	orthogonal	orthogonal	ADJ
cana-1633	209	29	time	time	NOUN
cana-1633	209	30	frequency	frequency	NOUN
cana-1633	209	31	space	space	NOUN
cana-1633	209	32	in	in	ADP
cana-1633	209	33	6	6	NUM
cana-1633	209	34	g	g	NOUN
cana-1633	209	35	epoch	epoch	NOUN
cana-1633	209	36	:	:	PUNCT
cana-1633	209	37	a	a	DET
cana-1633	209	38	survey	survey	NOUN
cana-1633	209	39	,	,	PUNCT
cana-1633	209	40	"	"	PUNCT
cana-1633	209	41	in	in	ADP
cana-1633	209	42	ieee	ieee	NOUN
cana-1633	209	43	access	access	NOUN
cana-1633	209	44	,	,	PUNCT
cana-1633	209	45	vol	vol	NOUN
cana-1633	209	46	.	.	PROPN
cana-1633	209	47	11	11	NUM
cana-1633	209	48	,	,	PUNCT
cana-1633	209	49	pp	pp	ADJ
cana-1633	209	50	.	.	PUNCT
cana-1633	209	51	129963129993	129963129993	NUM
cana-1633	209	52	,	,	PUNCT
cana-1633	209	53	2023	2023	NUM
cana-1633	209	54	[	[	X
cana-1633	209	55	7	7	X
cana-1633	209	56	]	]	PUNCT
cana-1633	209	57	p.	p.	NOUN
cana-1633	210	1	he	he	PRON
cana-1633	210	2	,	,	PUNCT
cana-1633	210	3	b.	b.	PROPN
cana-1633	210	4	wang	wang	PROPN
cana-1633	210	5	and	and	CCONJ
cana-1633	210	6	x.	x.	PROPN
cana-1633	210	7	liu	liu	PROPN
cana-1633	210	8	,	,	PUNCT
cana-1633	210	9	"	"	PUNCT
cana-1633	210	10	reinforcement	reinforcement	NOUN
cana-1633	210	11	learning	learn	VERB
cana-1633	210	12	adaptive	adaptive	ADJ
cana-1633	210	13	kalman	kalman	PROPN
cana-1633	210	14	filter	filter	PROPN
cana-1633	210	15	for	for	ADP
cana-1633	210	16	ae	ae	PROPN
cana-1633	210	17	signal	signal	PROPN
cana-1633	210	18	’s	’s	PART
cana-1633	210	19	ar	ar	PROPN
cana-1633	210	20	-	-	ADJ
cana-1633	210	21	mode	mode	NOUN
cana-1633	210	22	denoise	denoise	NOUN
cana-1633	210	23	,	,	PUNCT
cana-1633	210	24	"	"	PUNCT
cana-1633	210	25	2023	2023	NUM
cana-1633	210	26	ieee	ieee	NOUN
cana-1633	210	27	11th	11th	ADJ
cana-1633	210	28	international	international	ADJ
cana-1633	210	29	conference	conference	NOUN
cana-1633	210	30	on	on	ADP
cana-1633	210	31	information	information	NOUN
cana-1633	210	32	,	,	PUNCT
cana-1633	210	33	communication	communication	NOUN
cana-1633	210	34	and	and	CCONJ
cana-1633	210	35	networks	network	NOUN
cana-1633	210	36	(	(	PUNCT
cana-1633	210	37	icicn	icicn	PROPN
cana-1633	210	38	)	)	PUNCT
cana-1633	210	39	,	,	PUNCT
cana-1633	210	40	xi'an	xi'an	PROPN
cana-1633	210	41	,	,	PUNCT
cana-1633	210	42	china	china	PROPN
cana-1633	210	43	,	,	PUNCT
cana-1633	210	44	2023	2023	NUM
cana-1633	210	45	,	,	PUNCT
cana-1633	210	46	pp	pp	ADJ
cana-1633	210	47	.	.	PUNCT
cana-1633	211	1	643	643	NUM
cana-1633	211	2	-	-	SYM
cana-1633	211	3	648	648	NUM
cana-1633	211	4	[	[	SYM
cana-1633	211	5	8	8	NUM
cana-1633	211	6	]	]	X
cana-1633	211	7	h.	h.	PROPN
cana-1633	211	8	jiang	jiang	PROPN
cana-1633	211	9	,	,	PUNCT
cana-1633	211	10	z.	z.	PROPN
cana-1633	211	11	zhang	zhang	PROPN
cana-1633	211	12	,	,	PUNCT
cana-1633	211	13	j.	j.	PROPN
cana-1633	211	14	dang	dang	PROPN
cana-1633	211	15	and	and	CCONJ
cana-1633	211	16	l.	l.	PROPN
cana-1633	211	17	wu	wu	PROPN
cana-1633	211	18	,	,	PUNCT
cana-1633	211	19	"	"	PUNCT
cana-1633	211	20	a	a	DET
cana-1633	211	21	novel	novel	ADJ
cana-1633	211	22	3	3	NUM
cana-1633	211	23	-	-	SYM
cana-1633	211	24	d	d	ADJ
cana-1633	211	25	massive	massive	PROPN
cana-1633	211	26	mimo	mimo	PROPN
cana-1633	211	27	channel	channel	PROPN
cana-1633	211	28	model	model	NOUN
cana-1633	211	29	for	for	ADP
cana-1633	211	30	vehicle	vehicle	NOUN
cana-1633	211	31	-	-	PUNCT
cana-1633	211	32	to	to	ADP
cana-1633	211	33	-	-	PUNCT
cana-1633	211	34	vehicle	vehicle	NOUN
cana-1633	211	35	communication	communication	NOUN
cana-1633	211	36	environments	environment	NOUN
cana-1633	211	37	"	"	PUNCT
cana-1633	211	38	,	,	PUNCT
cana-1633	211	39	ieee	ieee	PROPN
cana-1633	211	40	trans	tran	NOUN
cana-1633	211	41	.	.	PUNCT
cana-1633	212	1	commun	commun	PROPN
cana-1633	212	2	.	.	PROPN
cana-1633	212	3	,	,	PUNCT
cana-1633	212	4	vol	vol	NOUN
cana-1633	212	5	.	.	PROPN
cana-1633	213	1	66	66	NUM
cana-1633	213	2	,	,	PUNCT
cana-1633	213	3	no	no	INTJ
cana-1633	213	4	.	.	NOUN
cana-1633	213	5	1	1	NUM
cana-1633	213	6	,	,	PUNCT
cana-1633	213	7	pp	pp	ADJ
cana-1633	213	8	.	.	PUNCT
cana-1633	214	1	79	79	NUM
cana-1633	214	2	-	-	SYM
cana-1633	214	3	90	90	NUM
cana-1633	214	4	,	,	PUNCT
cana-1633	214	5	jan	jan	PROPN
cana-1633	214	6	.	.	PROPN
cana-1633	214	7	2018	2018	NUM
cana-1633	214	8	.	.	PUNCT
cana-1633	215	1	[	[	X
cana-1633	215	2	9	9	NUM
cana-1633	215	3	]	]	PUNCT
cana-1633	215	4	p.	p.	NOUN
cana-1633	215	5	s.	s.	PROPN
cana-1633	215	6	bithas	bithas	PROPN
cana-1633	215	7	,	,	PUNCT
cana-1633	215	8	a.	a.	PROPN
cana-1633	215	9	g.	g.	PROPN
cana-1633	215	10	kanatas	kanatas	PROPN
cana-1633	215	11	,	,	PUNCT
cana-1633	215	12	d.	d.	PROPN
cana-1633	215	13	b.	b.	PROPN
cana-1633	215	14	da	da	PROPN
cana-1633	215	15	costa	costa	PROPN
cana-1633	215	16	,	,	PUNCT
cana-1633	215	17	p.	p.	PROPN
cana-1633	215	18	k.	k.	PROPN
cana-1633	216	1	upadhyay	upadhyay	PROPN
cana-1633	216	2	and	and	CCONJ
cana-1633	216	3	u.	u.	PROPN
cana-1633	216	4	s.	s.	PROPN
cana-1633	216	5	dias	dias	PROPN
cana-1633	216	6	,	,	PUNCT
cana-1633	216	7	"	"	PUNCT
cana-1633	216	8	on	on	ADP
cana-1633	216	9	the	the	DET
cana-1633	216	10	double	double	ADJ
cana-1633	216	11	-	-	PUNCT
cana-1633	216	12	generalized	generalized	ADJ
cana-1633	216	13	gamma	gamma	NOUN
cana-1633	216	14	statistics	statistic	NOUN
cana-1633	216	15	and	and	CCONJ
cana-1633	216	16	their	their	PRON
cana-1633	216	17	application	application	NOUN
cana-1633	216	18	to	to	ADP
cana-1633	216	19	the	the	DET
cana-1633	216	20	performance	performance	NOUN
cana-1633	216	21	analysis	analysis	NOUN
cana-1633	216	22	of	of	ADP
cana-1633	216	23	v2v	v2v	NOUN
cana-1633	216	24	communications	communication	NOUN
cana-1633	216	25	"	"	PUNCT
cana-1633	216	26	,	,	PUNCT
cana-1633	216	27	ieee	ieee	PROPN
cana-1633	216	28	trans	tran	NOUN
cana-1633	216	29	.	.	PUNCT
cana-1633	217	1	commun	commun	PROPN
cana-1633	217	2	.	.	PROPN
cana-1633	217	3	,	,	PUNCT
cana-1633	217	4	vol	vol	NOUN
cana-1633	217	5	.	.	PROPN
cana-1633	218	1	66	66	NUM
cana-1633	218	2	,	,	PUNCT
cana-1633	218	3	no	no	INTJ
cana-1633	218	4	.	.	NOUN
cana-1633	218	5	1	1	NUM
cana-1633	218	6	,	,	PUNCT
cana-1633	218	7	pp	pp	ADJ
cana-1633	218	8	.	.	PUNCT
cana-1633	219	1	448	448	NUM
cana-1633	219	2	-	-	SYM
cana-1633	219	3	460	460	NUM
cana-1633	219	4	,	,	PUNCT
cana-1633	219	5	jan	jan	PROPN
cana-1633	219	6	.	.	PROPN
cana-1633	219	7	2018	2018	NUM
cana-1633	219	8	.	.	PUNCT
cana-1633	220	1	[	[	X
cana-1633	220	2	10	10	NUM
cana-1633	220	3	]	]	PUNCT
cana-1633	220	4	z.	z.	PROPN
cana-1633	220	5	wei	wei	PROPN
cana-1633	220	6	,	,	PUNCT
cana-1633	220	7	w.	w.	PROPN
cana-1633	220	8	yuan	yuan	PROPN
cana-1633	220	9	,	,	PUNCT
cana-1633	220	10	s.	s.	PROPN
cana-1633	220	11	li	li	PROPN
cana-1633	220	12	,	,	PUNCT
cana-1633	220	13	j.	j.	PROPN
cana-1633	220	14	yuan	yuan	PROPN
cana-1633	220	15	,	,	PUNCT
cana-1633	220	16	g.	g.	PROPN
cana-1633	220	17	bharatula	bharatula	PROPN
cana-1633	220	18	,	,	PUNCT
cana-1633	220	19	r.	r.	PROPN
cana-1633	220	20	hadani	hadani	PROPN
cana-1633	220	21	,	,	PUNCT
cana-1633	220	22	et	et	PROPN
cana-1633	220	23	al	al	PROPN
cana-1633	220	24	.	.	PROPN
cana-1633	220	25	,	,	PUNCT
cana-1633	220	26	"	"	PUNCT
cana-1633	220	27	orthogonal	orthogonal	ADJ
cana-1633	220	28	time	time	NOUN
cana-1633	220	29	-	-	PUNCT
cana-1633	220	30	frequency	frequency	NOUN
cana-1633	220	31	space	space	NOUN
cana-1633	220	32	modulation	modulation	NOUN
cana-1633	220	33	:	:	PUNCT
cana-1633	220	34	a	a	DET
cana-1633	220	35	promising	promising	ADJ
cana-1633	220	36	next	next	ADJ
cana-1633	220	37	-	-	PUNCT
cana-1633	220	38	generation	generation	NOUN
cana-1633	220	39	waveform	waveform	NOUN
cana-1633	220	40	"	"	PUNCT
cana-1633	220	41	,	,	PUNCT
cana-1633	220	42	ieee	ieee	PROPN
cana-1633	220	43	wireless	wireless	PROPN
cana-1633	220	44	commun	commun	PROPN
cana-1633	220	45	.	.	PROPN
cana-1633	220	46	,	,	PUNCT
cana-1633	220	47	vol	vol	NOUN
cana-1633	220	48	.	.	PROPN
cana-1633	220	49	28	28	NUM
cana-1633	220	50	,	,	PUNCT
cana-1633	220	51	no	no	INTJ
cana-1633	220	52	.	.	NOUN
cana-1633	220	53	4	4	NUM
cana-1633	220	54	,	,	PUNCT
cana-1633	220	55	pp	pp	ADJ
cana-1633	220	56	.	.	PUNCT
cana-1633	220	57	136	136	NUM
cana-1633	220	58	-	-	SYM
cana-1633	220	59	144	144	NUM
cana-1633	220	60	,	,	PUNCT
cana-1633	220	61	aug	aug	PROPN
cana-1633	220	62	.	.	PROPN
cana-1633	220	63	2021	2021	NUM
cana-1633	220	64	.	.	PUNCT
cana-1633	221	1	[	[	X
cana-1633	221	2	11	11	NUM
cana-1633	221	3	]	]	X
cana-1633	221	4	prof	prof	NOUN
cana-1633	221	5	.	.	PUNCT
cana-1633	221	6	a.	a.	PROPN
cana-1633	221	7	u.	u.	PROPN
cana-1633	221	8	chaudhari	chaudhari	PROPN
cana-1633	221	9	,	,	PUNCT
cana-1633	221	10	alkesh	alkesh	PROPN
cana-1633	221	11	s.	s.	PROPN
cana-1633	221	12	lajurkar,"implementing	lajurkar,"implemente	VERB
cana-1633	221	13	a	a	DET
cana-1633	221	14	passive	passive	ADJ
cana-1633	221	15	aggressive	aggressive	ADJ
cana-1633	221	16	classifier	classifier	NOUN
cana-1633	221	17	to	to	PART
cana-1633	221	18	detect	detect	VERB
cana-1633	221	19	false	false	ADJ
cana-1633	221	20	information	information	NOUN
cana-1633	221	21	"	"	PUNCT
cana-1633	221	22	,	,	PUNCT
cana-1633	221	23	international	international	ADJ
cana-1633	221	24	journal	journal	NOUN
cana-1633	221	25	of	of	ADP
cana-1633	221	26	advanced	advanced	ADJ
cana-1633	221	27	research	research	NOUN
cana-1633	221	28	in	in	ADP
cana-1633	221	29	computer	computer	NOUN
cana-1633	221	30	and	and	CCONJ
cana-1633	221	31	communication	communication	NOUN
cana-1633	221	32	engineering	engineering	NOUN
cana-1633	221	33	,	,	PUNCT
cana-1633	221	34	2023	2023	NUM
cana-1633	221	35	,	,	PUNCT
cana-1633	221	36	volume	volume	NOUN
cana-1633	221	37	12	12	NUM
cana-1633	221	38	,	,	PUNCT
cana-1633	221	39	issue	issue	NOUN
cana-1633	221	40	4	4	NUM
cana-1633	221	41	,	,	PUNCT
cana-1633	221	42	pages	page	NOUN
cana-1633	221	43	767	767	NUM
cana-1633	221	44	-	-	SYM
cana-1633	221	45	774	774	NUM
cana-1633	221	46	.	.	PUNCT
cana-1633	222	1	communications	communication	NOUN
cana-1633	222	2	on	on	ADP
cana-1633	222	3	applied	apply	VERB
cana-1633	222	4	nonlinear	nonlinear	ADJ
cana-1633	222	5	analysis	analysis	NOUN
cana-1633	222	6	issn	issn	NOUN
cana-1633	222	7	:	:	PUNCT
cana-1633	222	8	1074	1074	NUM
cana-1633	222	9	-	-	PUNCT
cana-1633	222	10	133x	133x	NUM
cana-1633	222	11	vol	vol	NOUN
cana-1633	222	12	32	32	NUM
cana-1633	222	13	no	no	NOUN
cana-1633	222	14	.	.	NOUN
cana-1633	222	15	1	1	NUM
cana-1633	222	16	(	(	PUNCT
cana-1633	222	17	2025	2025	NUM
cana-1633	222	18	)	)	PUNCT
cana-1633	223	1	238	238	NUM
cana-1633	223	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-1633	223	3	[	[	X
cana-1633	223	4	12	12	NUM
cana-1633	223	5	]	]	PUNCT
cana-1633	223	6	m.	m.	NOUN
cana-1633	223	7	li	li	PROPN
cana-1633	223	8	,	,	PUNCT
cana-1633	223	9	w.	w.	PROPN
cana-1633	223	10	liu	liu	PROPN
cana-1633	223	11	and	and	CCONJ
cana-1633	223	12	j.	j.	PROPN
cana-1633	223	13	lei	lei	PROPN
cana-1633	223	14	,	,	PUNCT
cana-1633	223	15	"	"	PUNCT
cana-1633	223	16	a	a	DET
cana-1633	223	17	review	review	NOUN
cana-1633	223	18	on	on	ADP
cana-1633	223	19	orthogonal	orthogonal	ADJ
cana-1633	223	20	time	time	NOUN
cana-1633	223	21	–	–	PUNCT
cana-1633	223	22	frequency	frequency	NOUN
cana-1633	223	23	space	space	NOUN
cana-1633	223	24	modulation	modulation	NOUN
cana-1633	223	25	:	:	PUNCT
cana-1633	223	26	state	state	NOUN
cana-1633	223	27	-	-	PUNCT
cana-1633	223	28	of	of	ADP
cana-1633	223	29	-	-	PUNCT
cana-1633	223	30	art	art	NOUN
cana-1633	223	31	hotspots	hotspot	NOUN
cana-1633	223	32	and	and	CCONJ
cana-1633	223	33	challenges	challenge	NOUN
cana-1633	223	34	"	"	PUNCT
cana-1633	223	35	,	,	PUNCT
cana-1633	223	36	comput	comput	NOUN
cana-1633	223	37	.	.	PUNCT
cana-1633	224	1	netw	netw	NOUN
cana-1633	224	2	.	.	PUNCT
cana-1633	225	1	,	,	PUNCT
cana-1633	225	2	vol	vol	NOUN
cana-1633	225	3	.	.	PROPN
cana-1633	226	1	224	224	NUM
cana-1633	226	2	,	,	PUNCT
cana-1633	226	3	apr	apr	PROPN
cana-1633	226	4	.	.	PROPN
cana-1633	226	5	2023	2023	NUM
cana-1633	226	6	.	.	PUNCT
cana-1633	227	1	[	[	X
cana-1633	227	2	13	13	NUM
cana-1633	227	3	]	]	PUNCT
cana-1633	227	4	l.	l.	PROPN
cana-1633	227	5	zhang	zhang	PROPN
cana-1633	227	6	,	,	PUNCT
cana-1633	227	7	d.	d.	PROPN
cana-1633	227	8	sidoti	sidoti	PROPN
cana-1633	227	9	,	,	PUNCT
cana-1633	227	10	a.	a.	PROPN
cana-1633	227	11	bienkowski	bienkowski	PROPN
cana-1633	227	12	et	et	PROPN
cana-1633	227	13	al	al	PROPN
cana-1633	227	14	.	.	PROPN
cana-1633	227	15	,	,	PUNCT
cana-1633	227	16	"	"	PUNCT
cana-1633	227	17	on	on	ADP
cana-1633	227	18	the	the	DET
cana-1633	227	19	identification	identification	NOUN
cana-1633	227	20	of	of	ADP
cana-1633	227	21	noise	noise	NOUN
cana-1633	227	22	covariances	covariance	NOUN
cana-1633	227	23	and	and	CCONJ
cana-1633	227	24	adaptive	adaptive	ADJ
cana-1633	227	25	kalman	kalman	NOUN
cana-1633	227	26	filtering	filtering	PROPN
cana-1633	227	27	:	:	PUNCT
cana-1633	227	28	a	a	DET
cana-1633	227	29	new	new	ADJ
cana-1633	227	30	look	look	NOUN
cana-1633	227	31	at	at	ADP
cana-1633	227	32	a	a	DET
cana-1633	227	33	50	50	NUM
cana-1633	227	34	-	-	PUNCT
cana-1633	227	35	year	year	NOUN
cana-1633	227	36	-	-	PUNCT
cana-1633	227	37	old	old	ADJ
cana-1633	227	38	problem	problem	NOUN
cana-1633	227	39	"	"	PUNCT
cana-1633	227	40	,	,	PUNCT
cana-1633	227	41	ieee	ieee	NOUN
cana-1633	227	42	access	access	NOUN
cana-1633	227	43	,	,	PUNCT
cana-1633	227	44	vol	vol	NOUN
cana-1633	227	45	.	.	PROPN
cana-1633	227	46	8	8	NUM
cana-1633	227	47	,	,	PUNCT
cana-1633	227	48	pp	pp	ADJ
cana-1633	227	49	.	.	PUNCT
cana-1633	228	1	59362	59362	NUM
cana-1633	228	2	-	-	SYM
cana-1633	228	3	59388	59388	NUM
cana-1633	228	4	,	,	PUNCT
cana-1633	228	5	2020	2020	NUM
cana-1633	228	6	.	.	PUNCT
cana-1633	229	1	[	[	X
cana-1633	229	2	14	14	NUM
cana-1633	229	3	]	]	PUNCT
cana-1633	229	4	k.	k.	PROPN
cana-1633	229	5	xiong	xiong	PROPN
cana-1633	229	6	,	,	PUNCT
cana-1633	229	7	c.	c.	PROPN
cana-1633	229	8	wei	wei	PROPN
cana-1633	229	9	and	and	CCONJ
cana-1633	229	10	h.	h.	PROPN
cana-1633	229	11	zhang	zhang	PROPN
cana-1633	229	12	,	,	PUNCT
cana-1633	229	13	"	"	PUNCT
cana-1633	229	14	q	q	X
cana-1633	229	15	‐	‐	ADJ
cana-1633	229	16	learning	learning	NOUN
cana-1633	229	17	for	for	ADP
cana-1633	229	18	noise	noise	NOUN
cana-1633	229	19	covariance	covariance	NOUN
cana-1633	229	20	adaptation	adaptation	NOUN
cana-1633	229	21	in	in	ADP
cana-1633	229	22	extended	extended	ADJ
cana-1633	229	23	kalman	kalman	NOUN
cana-1633	229	24	filter	filter	NOUN
cana-1633	229	25	"	"	PUNCT
cana-1633	229	26	,	,	PUNCT
cana-1633	229	27	asian	asian	ADJ
cana-1633	229	28	journal	journal	NOUN
cana-1633	229	29	of	of	ADP
cana-1633	229	30	control	control	NOUN
cana-1633	229	31	,	,	PUNCT
cana-1633	229	32	vol	vol	NOUN
cana-1633	229	33	.	.	PROPN
cana-1633	229	34	23	23	NUM
cana-1633	229	35	,	,	PUNCT
cana-1633	229	36	pp	pp	ADJ
cana-1633	229	37	.	.	PUNCT
cana-1633	229	38	1803	1803	NUM
cana-1633	229	39	-	-	SYM
cana-1633	229	40	1816	1816	NUM
cana-1633	229	41	,	,	PUNCT
cana-1633	229	42	2021	2021	NUM
cana-1633	229	43	.	.	PUNCT
cana-1633	230	1	[	[	X
cana-1633	230	2	15	15	NUM
cana-1633	230	3	]	]	PUNCT
cana-1633	230	4	l.	l.	PROPN
cana-1633	230	5	zhang	zhang	PROPN
cana-1633	230	6	,	,	PUNCT
cana-1633	230	7	l.	l.	PROPN
cana-1633	230	8	tang	tang	PROPN
cana-1633	230	9	,	,	PUNCT
cana-1633	230	10	s.	s.	PROPN
cana-1633	230	11	zhang	zhang	PROPN
cana-1633	230	12	et	et	PROPN
cana-1633	230	13	al	al	PROPN
cana-1633	230	14	.	.	PROPN
cana-1633	230	15	,	,	PUNCT
cana-1633	230	16	"	"	PUNCT
cana-1633	230	17	a	a	DET
cana-1633	230	18	self	self	NOUN
cana-1633	230	19	-	-	PUNCT
cana-1633	230	20	adaptive	adaptive	ADJ
cana-1633	230	21	reinforcement	reinforcement	NOUN
cana-1633	230	22	-	-	PUNCT
cana-1633	230	23	exploration	exploration	NOUN
cana-1633	230	24	q	q	NOUN
cana-1633	230	25	-	-	PUNCT
cana-1633	230	26	learning	learn	VERB
cana-1633	230	27	algorithm	algorithm	NOUN
cana-1633	230	28	"	"	PUNCT
cana-1633	230	29	,	,	PUNCT
cana-1633	230	30	symmetry	symmetry	NOUN
cana-1633	230	31	,	,	PUNCT
cana-1633	230	32	vol	vol	NOUN
cana-1633	230	33	.	.	PROPN
cana-1633	230	34	13	13	NUM
cana-1633	230	35	,	,	PUNCT
cana-1633	230	36	pp	pp	ADJ
cana-1633	230	37	.	.	PUNCT
cana-1633	230	38	1057	1057	NUM
cana-1633	230	39	,	,	PUNCT
cana-1633	230	40	2021	2021	NUM
cana-1633	230	41	.	.	PUNCT
cana-1633	231	1	[	[	X
cana-1633	231	2	16	16	NUM
cana-1633	231	3	]	]	X
cana-1633	231	4	nemade	nemade	PROPN
cana-1633	231	5	,	,	PUNCT
cana-1633	231	6	bhushankumar	bhushankumar	PROPN
cana-1633	231	7	,	,	PUNCT
cana-1633	231	8	and	and	CCONJ
cana-1633	231	9	deven	deven	PROPN
cana-1633	231	10	shah	shah	NOUN
cana-1633	231	11	.	.	PUNCT
cana-1633	232	1	"	"	PUNCT
cana-1633	232	2	an	an	DET
cana-1633	232	3	efficient	efficient	ADJ
cana-1633	232	4	iot	iot	NOUN
cana-1633	232	5	based	base	VERB
cana-1633	232	6	prediction	prediction	NOUN
cana-1633	232	7	system	system	NOUN
cana-1633	232	8	for	for	ADP
cana-1633	232	9	classification	classification	NOUN
cana-1633	232	10	of	of	ADP
cana-1633	232	11	water	water	NOUN
cana-1633	232	12	using	use	VERB
cana-1633	232	13	novel	novel	ADJ
cana-1633	232	14	adaptive	adaptive	ADJ
cana-1633	232	15	incremental	incremental	ADJ
cana-1633	232	16	learning	learning	NOUN
cana-1633	232	17	framework	framework	NOUN
cana-1633	232	18	.	.	PUNCT
cana-1633	232	19	"	"	PUNCT
cana-1633	233	1	journal	journal	NOUN
cana-1633	233	2	of	of	ADP
cana-1633	233	3	king	king	PROPN
cana-1633	233	4	saud	saud	PROPN
cana-1633	233	5	university	university	PROPN
cana-1633	233	6	-	-	PUNCT
cana-1633	233	7	computer	computer	NOUN
cana-1633	233	8	and	and	CCONJ
cana-1633	233	9	information	information	NOUN
cana-1633	233	10	sciences	science	NOUN
cana-1633	233	11	34.8	34.8	NUM
cana-1633	233	12	(	(	PUNCT
cana-1633	233	13	2022	2022	NUM
cana-1633	233	14	):	):	PUNCT
cana-1633	233	15	5121	5121	NUM
cana-1633	233	16	-	-	SYM
cana-1633	233	17	5131	5131	NUM
cana-1633	233	18	.	.	PUNCT
cana-1633	234	1	[	[	X
cana-1633	234	2	17	17	NUM
cana-1633	234	3	]	]	PUNCT
cana-1633	234	4	anupma	anupma	PROPN
cana-1633	234	5	gupta	gupta	PROPN
cana-1633	234	6	,	,	PUNCT
cana-1633	234	7	vipan	vipan	NOUN
cana-1633	234	8	kumar	kumar	PROPN
cana-1633	234	9	“	"	PUNCT
cana-1633	234	10	design	design	NOUN
cana-1633	234	11	of	of	ADP
cana-1633	234	12	a	a	DET
cana-1633	234	13	tri	tri	ADJ
cana-1633	234	14	-	-	ADJ
cana-1633	234	15	band	band	ADJ
cana-1633	234	16	patch	patch	NOUN
cana-1633	234	17	antenna	antenna	NOUN
cana-1633	234	18	with	with	ADP
cana-1633	234	19	back	back	ADJ
cana-1633	234	20	reflector	reflector	NOUN
cana-1633	234	21	for	for	ADP
cana-1633	234	22	off	off	ADP
cana-1633	234	23	-	-	PUNCT
cana-1633	234	24	body	body	NOUN
cana-1633	234	25	communication	communication	NOUN
cana-1633	234	26	.	.	PUNCT
cana-1633	234	27	”	"	PUNCT
cana-1633	235	1	wireless	wireless	ADJ
cana-1633	235	2	personal	personal	ADJ
cana-1633	235	3	communication	communication	NOUN
cana-1633	235	4	,	,	PUNCT
cana-1633	235	5	(	(	PUNCT
cana-1633	235	6	2020	2020	NUM
cana-1633	235	7	)	)	PUNCT
cana-1633	235	8	.	.	PUNCT
cana-1633	236	1	vol	vol	NOUN
cana-1633	236	2	.	.	PROPN
cana-1633	236	3	115	115	NUM
cana-1633	236	4	,	,	PUNCT
cana-1633	236	5	pp	pp	ADJ
cana-1633	236	6	.	.	PUNCT
cana-1633	237	1	173	173	NUM
cana-1633	237	2	-	-	SYM
cana-1633	237	3	185	185	NUM
cana-1633	237	4	(	(	PUNCT
cana-1633	237	5	2020	2020	NUM
cana-1633	237	6	)	)	PUNCT
cana-1633	237	7	.	.	PUNCT
cana-1633	238	1	https://doi.org/10.1080/09205071.2020.1865209	https://doi.org/10.1080/09205071.2020.1865209	VERB
cana-1633	239	1	[	[	X
cana-1633	239	2	18	18	NUM
cana-1633	239	3	]	]	X
cana-1633	239	4	nemade	nemade	PROPN
cana-1633	239	5	,	,	PUNCT
cana-1633	239	6	b.	b.	PROPN
cana-1633	239	7	,	,	PUNCT
cana-1633	239	8	bharadi	bharadi	NOUN
cana-1633	239	9	,	,	PUNCT
cana-1633	239	10	v.	v.	ADV
cana-1633	239	11	,	,	PUNCT
cana-1633	239	12	alegavi	alegavi	PROPN
cana-1633	239	13	,	,	PUNCT
cana-1633	239	14	s.	s.	PROPN
cana-1633	239	15	s.	s.	PROPN
cana-1633	239	16	,	,	PUNCT
cana-1633	239	17	&	&	CCONJ
cana-1633	239	18	marakarkandy	marakarkandy	PROPN
cana-1633	239	19	,	,	PUNCT
cana-1633	239	20	b.	b.	PROPN
cana-1633	239	21	(	(	PUNCT
cana-1633	239	22	2023	2023	NUM
cana-1633	239	23	)	)	PUNCT
cana-1633	239	24	.	.	PUNCT
cana-1633	240	1	a	a	DET
cana-1633	240	2	comprehensive	comprehensive	ADJ
cana-1633	240	3	review	review	NOUN
cana-1633	240	4	:	:	PUNCT
cana-1633	240	5	smote	smite	VERB
cana-1633	240	6	-	-	PUNCT
cana-1633	240	7	based	base	VERB
cana-1633	240	8	oversampling	oversampling	ADJ
cana-1633	240	9	methods	method	NOUN
cana-1633	240	10	for	for	ADP
cana-1633	240	11	imbalanced	imbalanced	ADJ
cana-1633	240	12	classification	classification	NOUN
cana-1633	240	13	techniques	technique	NOUN
cana-1633	240	14	,	,	PUNCT
cana-1633	240	15	evaluation	evaluation	NOUN
cana-1633	240	16	,	,	PUNCT
cana-1633	240	17	and	and	CCONJ
cana-1633	240	18	result	result	VERB
cana-1633	240	19	comparisons	comparison	NOUN
cana-1633	240	20	.	.	PUNCT
cana-1633	241	1	international	international	ADJ
cana-1633	241	2	journal	journal	NOUN
cana-1633	241	3	of	of	ADP
cana-1633	241	4	intelligent	intelligent	ADJ
cana-1633	241	5	systems	system	NOUN
cana-1633	241	6	and	and	CCONJ
cana-1633	241	7	applications	application	NOUN
cana-1633	241	8	in	in	ADP
cana-1633	241	9	engineering	engineering	NOUN
cana-1633	241	10	,	,	PUNCT
cana-1633	241	11	11(9s	11(9s	NUM
cana-1633	241	12	)	)	PUNCT
cana-1633	241	13	,	,	PUNCT
cana-1633	241	14	790	790	NUM
cana-1633	241	15	-	-	SYM
cana-1633	241	16	803	803	NUM
cana-1633	241	17	.	.	PUNCT
cana-1633	242	1	[	[	X
cana-1633	242	2	19	19	NUM
cana-1633	242	3	]	]	PUNCT
cana-1633	242	4	anupma	anupma	PROPN
cana-1633	242	5	gupta	gupta	PROPN
cana-1633	242	6	,	,	PUNCT
cana-1633	242	7	vipan	vipan	NOUN
cana-1633	242	8	kumar	kumar	PROPN
cana-1633	242	9	“	"	PUNCT
cana-1633	242	10	dgs	dgs	PROPN
cana-1633	242	11	-	-	PUNCT
cana-1633	242	12	based	base	VERB
cana-1633	242	13	wideband	wideband	PROPN
cana-1633	242	14	mimo	mimo	PROPN
cana-1633	242	15	antenna	antenna	NOUN
cana-1633	242	16	for	for	ADP
cana-1633	242	17	on	on	ADP
cana-1633	242	18	-	-	PUNCT
cana-1633	242	19	off	off	ADP
cana-1633	242	20	body	body	NOUN
cana-1633	242	21	communication	communication	NOUN
cana-1633	242	22	with	with	ADP
cana-1633	242	23	port	port	NOUN
cana-1633	242	24	isolation	isolation	NOUN
cana-1633	242	25	enhancement	enhancement	NOUN
cana-1633	242	26	operating	operate	VERB
cana-1633	242	27	at	at	ADP
cana-1633	242	28	2.45	2.45	NUM
cana-1633	242	29	ghz	ghz	NOUN
cana-1633	242	30	industrial	industrial	ADJ
cana-1633	242	31	scientific	scientific	ADJ
cana-1633	242	32	and	and	CCONJ
cana-1633	242	33	medical	medical	ADJ
cana-1633	242	34	band	band	NOUN
cana-1633	242	35	.	.	PUNCT
cana-1633	242	36	”	"	PUNCT
cana-1633	242	37	journal	journal	NOUN
cana-1633	242	38	of	of	ADP
cana-1633	242	39	electromagnetic	electromagnetic	ADJ
cana-1633	242	40	wave	wave	NOUN
cana-1633	242	41	and	and	CCONJ
cana-1633	242	42	application	application	NOUN
cana-1633	242	43	,	,	PUNCT
cana-1633	242	44	2020	2020	NUM
cana-1633	242	45	.	.	PUNCT
cana-1633	243	1	https://doi.org/10.1080/09205071.2020.1865209	https://doi.org/10.1080/09205071.2020.1865209	VERB
cana-1633	244	1	[	[	X
cana-1633	244	2	20	20	NUM
cana-1633	244	3	]	]	PUNCT
cana-1633	244	4	anupma	anupma	PROPN
cana-1633	244	5	gupta	gupta	PROPN
cana-1633	244	6	,	,	PUNCT
cana-1633	244	7	vipan	vipan	PROPN
cana-1633	244	8	kumar	kumar	PROPN
cana-1633	244	9	,	,	PUNCT
cana-1633	244	10	dinesh	dinesh	PROPN
cana-1633	244	11	garg	garg	PROPN
cana-1633	244	12	,	,	PUNCT
cana-1633	244	13	mohammed	mohammed	PROPN
cana-1633	244	14	h.	h.	PROPN
cana-1633	244	15	alsharif	alsharif	PROPN
cana-1633	244	16	,	,	PUNCT
cana-1633	244	17	and	and	CCONJ
cana-1633	244	18	abu	abu	PROPN
cana-1633	244	19	jahid	jahid	PROPN
cana-1633	244	20	.	.	PUNCT
cana-1633	245	1	"	"	PUNCT
cana-1633	245	2	performance	performance	NOUN
cana-1633	245	3	analysis	analysis	NOUN
cana-1633	245	4	of	of	ADP
cana-1633	245	5	an	an	DET
cana-1633	245	6	aperture	aperture	NOUN
cana-1633	245	7	-	-	PUNCT
cana-1633	245	8	coupled	couple	VERB
cana-1633	245	9	thz	thz	ADJ
cana-1633	245	10	antenna	antenna	NOUN
cana-1633	245	11	for	for	ADP
cana-1633	245	12	diagnosing	diagnose	VERB
cana-1633	245	13	breast	breast	NOUN
cana-1633	245	14	cancer	cancer	NOUN
cana-1633	245	15	.	.	PUNCT
cana-1633	245	16	"	"	PUNCT
cana-1633	246	1	micromachines	micromachine	NOUN
cana-1633	246	2	14	14	NUM
cana-1633	246	3	,	,	PUNCT
cana-1633	246	4	no	no	INTJ
cana-1633	246	5	.	.	NOUN
cana-1633	246	6	7	7	NUM
cana-1633	246	7	(	(	PUNCT
cana-1633	246	8	2023	2023	NUM
cana-1633	246	9	):	):	PUNCT
cana-1633	246	10	1281	1281	NUM
cana-1633	246	11	.	.	PUNCT