id	sid	tid	token	lemma	pos
ajst-25567	1	1	academic	academic	ADJ
ajst-25567	1	2	journal	journal	NOUN
ajst-25567	1	3	of	of	ADP
ajst-25567	1	4	science	science	NOUN
ajst-25567	1	5	and	and	CCONJ
ajst-25567	1	6	technology	technology	NOUN
ajst-25567	1	7	issn	issn	NOUN
ajst-25567	1	8	:	:	PUNCT
ajst-25567	1	9	2771	2771	NUM
ajst-25567	1	10	-	-	SYM
ajst-25567	1	11	3032	3032	NUM
ajst-25567	1	12	|	|	NOUN
ajst-25567	1	13	vol	vol	NOUN
ajst-25567	1	14	.	.	PROPN
ajst-25567	2	1	12	12	NUM
ajst-25567	2	2	,	,	PUNCT
ajst-25567	2	3	no	no	INTJ
ajst-25567	2	4	.	.	NOUN
ajst-25567	2	5	2	2	NUM
ajst-25567	2	6	,	,	PUNCT
ajst-25567	2	7	2024	2024	NUM
ajst-25567	2	8	63	63	NUM
ajst-25567	2	9	research	research	NOUN
ajst-25567	2	10	on	on	ADP
ajst-25567	2	11	the	the	DET
ajst-25567	2	12	application	application	NOUN
ajst-25567	2	13	of	of	ADP
ajst-25567	2	14	ceemd	ceemd	NOUN
ajst-25567	2	15	and	and	CCONJ
ajst-25567	2	16	ceemdan	ceemdan	PROPN
ajst-25567	2	17	in	in	ADP
ajst-25567	2	18	seismic	seismic	ADJ
ajst-25567	2	19	random	random	ADJ
ajst-25567	2	20	noise	noise	NOUN
ajst-25567	2	21	suppression	suppression	NOUN
ajst-25567	2	22	hongran	hongran	VERB
ajst-25567	2	23	wang	wang	PROPN
ajst-25567	2	24	1	1	NUM
ajst-25567	2	25	,	,	PUNCT
ajst-25567	2	26	2	2	NUM
ajst-25567	2	27	1	1	NUM
ajst-25567	2	28	school	school	NOUN
ajst-25567	2	29	of	of	ADP
ajst-25567	2	30	earth	earth	NOUN
ajst-25567	2	31	sciences	science	NOUN
ajst-25567	2	32	and	and	CCONJ
ajst-25567	2	33	engineering	engineering	NOUN
ajst-25567	2	34	,	,	PUNCT
ajst-25567	2	35	xi'an	xi'an	PROPN
ajst-25567	2	36	shiyou	shiyou	PROPN
ajst-25567	2	37	university	university	PROPN
ajst-25567	2	38	,	,	PUNCT
ajst-25567	2	39	xi'an	xi'an	PROPN
ajst-25567	2	40	shaanxi	shaanxi	PROPN
ajst-25567	2	41	710065	710065	PROPN
ajst-25567	2	42	,	,	PUNCT
ajst-25567	2	43	china	china	PROPN
ajst-25567	2	44	2	2	NUM
ajst-25567	2	45	shaanxi	shaanxi	PROPN
ajst-25567	2	46	key	key	ADJ
ajst-25567	2	47	lab	lab	NOUN
ajst-25567	2	48	of	of	ADP
ajst-25567	2	49	petroleum	petroleum	NOUN
ajst-25567	2	50	accumulation	accumulation	NOUN
ajst-25567	2	51	geology	geology	NOUN
ajst-25567	2	52	,	,	PUNCT
ajst-25567	2	53	xi'an	xi'an	PROPN
ajst-25567	2	54	shaanxi	shaanxi	PROPN
ajst-25567	2	55	710065	710065	PROPN
ajst-25567	2	56	,	,	PUNCT
ajst-25567	2	57	china	china	PROPN
ajst-25567	2	58	abstract	abstract	PROPN
ajst-25567	2	59	:	:	PUNCT
ajst-25567	2	60	empirical	empirical	ADJ
ajst-25567	2	61	mode	mode	NOUN
ajst-25567	2	62	decomposition	decomposition	NOUN
ajst-25567	2	63	(	(	PUNCT
ajst-25567	2	64	emd	emd	X
ajst-25567	2	65	)	)	PUNCT
ajst-25567	2	66	is	be	AUX
ajst-25567	2	67	an	an	DET
ajst-25567	2	68	adaptive	adaptive	ADJ
ajst-25567	2	69	method	method	NOUN
ajst-25567	2	70	for	for	ADP
ajst-25567	2	71	processing	processing	NOUN
ajst-25567	2	72	nonlinear	nonlinear	ADJ
ajst-25567	2	73	and	and	CCONJ
ajst-25567	2	74	non	non	ADJ
ajst-25567	2	75	-	-	ADJ
ajst-25567	2	76	stationary	stationary	ADJ
ajst-25567	2	77	data	datum	NOUN
ajst-25567	2	78	.	.	PUNCT
ajst-25567	3	1	complementary	complementary	ADJ
ajst-25567	3	2	ensemble	ensemble	ADJ
ajst-25567	3	3	empirical	empirical	ADJ
ajst-25567	3	4	mode	mode	NOUN
ajst-25567	3	5	decomposition	decomposition	NOUN
ajst-25567	3	6	(	(	PUNCT
ajst-25567	3	7	ceemd	ceemd	NOUN
ajst-25567	3	8	)	)	PUNCT
ajst-25567	3	9	and	and	CCONJ
ajst-25567	3	10	complete	complete	VERB
ajst-25567	3	11	ensemble	ensemble	ADJ
ajst-25567	3	12	empirical	empirical	ADJ
ajst-25567	3	13	mode	mode	NOUN
ajst-25567	3	14	decomposition	decomposition	NOUN
ajst-25567	3	15	with	with	ADP
ajst-25567	3	16	adaptive	adaptive	ADJ
ajst-25567	3	17	noise	noise	NOUN
ajst-25567	3	18	(	(	PUNCT
ajst-25567	3	19	ceemdan	ceemdan	PROPN
ajst-25567	3	20	)	)	PUNCT
ajst-25567	3	21	are	be	AUX
ajst-25567	3	22	noise	noise	NOUN
ajst-25567	3	23	-	-	PUNCT
ajst-25567	3	24	assisted	assist	VERB
ajst-25567	3	25	signal	signal	NOUN
ajst-25567	3	26	processing	processing	NOUN
ajst-25567	3	27	methods	method	NOUN
ajst-25567	3	28	developed	develop	VERB
ajst-25567	3	29	from	from	ADP
ajst-25567	3	30	emd	emd	PROPN
ajst-25567	3	31	.	.	PROPN
ajst-25567	4	1	during	during	ADP
ajst-25567	4	2	seismic	seismic	ADJ
ajst-25567	4	3	data	datum	NOUN
ajst-25567	4	4	acquisition	acquisition	NOUN
ajst-25567	4	5	,	,	PUNCT
ajst-25567	4	6	various	various	ADJ
ajst-25567	4	7	types	type	NOUN
ajst-25567	4	8	of	of	ADP
ajst-25567	4	9	noise	noise	NOUN
ajst-25567	4	10	,	,	PUNCT
ajst-25567	4	11	including	include	VERB
ajst-25567	4	12	random	random	ADJ
ajst-25567	4	13	noise	noise	NOUN
ajst-25567	4	14	,	,	PUNCT
ajst-25567	4	15	are	be	AUX
ajst-25567	4	16	inevitably	inevitably	ADV
ajst-25567	4	17	captured	capture	VERB
ajst-25567	4	18	,	,	PUNCT
ajst-25567	4	19	and	and	CCONJ
ajst-25567	4	20	current	current	ADJ
ajst-25567	4	21	methods	method	NOUN
ajst-25567	4	22	for	for	ADP
ajst-25567	4	23	dealing	deal	VERB
ajst-25567	4	24	with	with	ADP
ajst-25567	4	25	such	such	ADJ
ajst-25567	4	26	noise	noise	NOUN
ajst-25567	4	27	are	be	AUX
ajst-25567	4	28	limited	limited	ADJ
ajst-25567	4	29	.	.	PUNCT
ajst-25567	5	1	in	in	ADP
ajst-25567	5	2	this	this	DET
ajst-25567	5	3	study	study	NOUN
ajst-25567	5	4	,	,	PUNCT
ajst-25567	5	5	these	these	DET
ajst-25567	5	6	two	two	NUM
ajst-25567	5	7	signal	signal	ADJ
ajst-25567	5	8	processing	processing	NOUN
ajst-25567	5	9	methods	method	NOUN
ajst-25567	5	10	were	be	AUX
ajst-25567	5	11	applied	apply	VERB
ajst-25567	5	12	in	in	ADP
ajst-25567	5	13	simulated	simulated	ADJ
ajst-25567	5	14	experiments	experiment	NOUN
ajst-25567	5	15	and	and	CCONJ
ajst-25567	5	16	real	real	ADJ
ajst-25567	5	17	seismic	seismic	ADJ
ajst-25567	5	18	data	datum	NOUN
ajst-25567	5	19	to	to	PART
ajst-25567	5	20	suppress	suppress	VERB
ajst-25567	5	21	random	random	ADJ
ajst-25567	5	22	noise	noise	NOUN
ajst-25567	5	23	.	.	PUNCT
ajst-25567	6	1	by	by	ADP
ajst-25567	6	2	analyzing	analyze	VERB
ajst-25567	6	3	the	the	DET
ajst-25567	6	4	processing	processing	NOUN
ajst-25567	6	5	effects	effect	NOUN
ajst-25567	6	6	and	and	CCONJ
ajst-25567	6	7	runtime	runtime	NOUN
ajst-25567	6	8	,	,	PUNCT
ajst-25567	6	9	it	it	PRON
ajst-25567	6	10	was	be	AUX
ajst-25567	6	11	found	find	VERB
ajst-25567	6	12	that	that	SCONJ
ajst-25567	6	13	ceemdan	ceemdan	PROPN
ajst-25567	6	14	offers	offer	VERB
ajst-25567	6	15	better	well	ADJ
ajst-25567	6	16	processing	processing	NOUN
ajst-25567	6	17	performance	performance	NOUN
ajst-25567	6	18	and	and	CCONJ
ajst-25567	6	19	speed	speed	NOUN
ajst-25567	6	20	,	,	PUNCT
ajst-25567	6	21	making	make	VERB
ajst-25567	6	22	it	it	PRON
ajst-25567	6	23	a	a	DET
ajst-25567	6	24	valuable	valuable	ADJ
ajst-25567	6	25	tool	tool	NOUN
ajst-25567	6	26	for	for	ADP
ajst-25567	6	27	practical	practical	ADJ
ajst-25567	6	28	applications	application	NOUN
ajst-25567	6	29	.	.	PUNCT
ajst-25567	7	1	keywords	keyword	NOUN
ajst-25567	7	2	:	:	PUNCT
ajst-25567	7	3	empirical	empirical	ADJ
ajst-25567	7	4	mode	mode	NOUN
ajst-25567	7	5	decomposition	decomposition	NOUN
ajst-25567	7	6	;	;	PUNCT
ajst-25567	7	7	seismic	seismic	ADJ
ajst-25567	7	8	data	datum	NOUN
ajst-25567	7	9	processing	processing	NOUN
ajst-25567	7	10	;	;	PUNCT
ajst-25567	7	11	random	random	ADJ
ajst-25567	7	12	noise	noise	NOUN
ajst-25567	7	13	suppression	suppression	NOUN
ajst-25567	7	14	.	.	PUNCT
ajst-25567	8	1	1	1	X
ajst-25567	8	2	.	.	X
ajst-25567	8	3	introduction	introduction	NOUN
ajst-25567	8	4	due	due	ADP
ajst-25567	8	5	to	to	ADP
ajst-25567	8	6	the	the	DET
ajst-25567	8	7	varying	vary	VERB
ajst-25567	8	8	environments	environment	NOUN
ajst-25567	8	9	during	during	ADP
ajst-25567	8	10	seismic	seismic	ADJ
ajst-25567	8	11	exploration	exploration	NOUN
ajst-25567	8	12	,	,	PUNCT
ajst-25567	8	13	the	the	DET
ajst-25567	8	14	collected	collect	VERB
ajst-25567	8	15	seismic	seismic	ADJ
ajst-25567	8	16	data	datum	NOUN
ajst-25567	8	17	often	often	ADV
ajst-25567	8	18	contain	contain	VERB
ajst-25567	8	19	a	a	DET
ajst-25567	8	20	significant	significant	ADJ
ajst-25567	8	21	amount	amount	NOUN
ajst-25567	8	22	of	of	ADP
ajst-25567	8	23	random	random	ADJ
ajst-25567	8	24	noise	noise	NOUN
ajst-25567	8	25	.	.	PUNCT
ajst-25567	9	1	to	to	PART
ajst-25567	9	2	minimize	minimize	VERB
ajst-25567	9	3	the	the	DET
ajst-25567	9	4	interference	interference	NOUN
ajst-25567	9	5	of	of	ADP
ajst-25567	9	6	random	random	ADJ
ajst-25567	9	7	noise	noise	NOUN
ajst-25567	9	8	on	on	ADP
ajst-25567	9	9	the	the	DET
ajst-25567	9	10	effective	effective	ADJ
ajst-25567	9	11	signal	signal	NOUN
ajst-25567	9	12	,	,	PUNCT
ajst-25567	9	13	it	it	PRON
ajst-25567	9	14	is	be	AUX
ajst-25567	9	15	crucial	crucial	ADJ
ajst-25567	9	16	to	to	PART
ajst-25567	9	17	select	select	VERB
ajst-25567	9	18	a	a	DET
ajst-25567	9	19	method	method	NOUN
ajst-25567	9	20	that	that	PRON
ajst-25567	9	21	can	can	AUX
ajst-25567	9	22	effectively	effectively	ADV
ajst-25567	9	23	remove	remove	VERB
ajst-25567	9	24	this	this	DET
ajst-25567	9	25	noise	noise	NOUN
ajst-25567	9	26	.	.	PUNCT
ajst-25567	10	1	empirical	empirical	ADJ
ajst-25567	10	2	mode	mode	NOUN
ajst-25567	10	3	decomposition	decomposition	NOUN
ajst-25567	10	4	(	(	PUNCT
ajst-25567	10	5	emd	emd	X
ajst-25567	10	6	)	)	PUNCT
ajst-25567	10	7	is	be	AUX
ajst-25567	10	8	a	a	DET
ajst-25567	10	9	timefrequency	timefrequency	ADJ
ajst-25567	10	10	analysis	analysis	NOUN
ajst-25567	10	11	method	method	NOUN
ajst-25567	10	12	for	for	ADP
ajst-25567	10	13	non	non	ADJ
ajst-25567	10	14	-	-	ADJ
ajst-25567	10	15	stationary	stationary	ADJ
ajst-25567	10	16	signals	signal	NOUN
ajst-25567	10	17	proposed	propose	VERB
ajst-25567	10	18	by	by	ADP
ajst-25567	10	19	huang	huang	PROPN
ajst-25567	10	20	in	in	ADP
ajst-25567	10	21	1998	1998	NUM
ajst-25567	10	22	[	[	X
ajst-25567	10	23	1	1	NUM
ajst-25567	10	24	]	]	PUNCT
ajst-25567	10	25	.	.	PUNCT
ajst-25567	11	1	subsequent	subsequent	ADJ
ajst-25567	11	2	experiments	experiment	NOUN
ajst-25567	11	3	have	have	AUX
ajst-25567	11	4	demonstrated	demonstrate	VERB
ajst-25567	11	5	its	its	PRON
ajst-25567	11	6	effectiveness	effectiveness	NOUN
ajst-25567	11	7	in	in	ADP
ajst-25567	11	8	suppressing	suppress	VERB
ajst-25567	11	9	random	random	ADJ
ajst-25567	11	10	noise	noise	NOUN
ajst-25567	11	11	.	.	PUNCT
ajst-25567	12	1	the	the	DET
ajst-25567	12	2	method	method	NOUN
ajst-25567	12	3	first	first	ADV
ajst-25567	12	4	decomposes	decompose	VERB
ajst-25567	12	5	the	the	DET
ajst-25567	12	6	signal	signal	NOUN
ajst-25567	12	7	using	use	VERB
ajst-25567	12	8	emd	emd	PROPN
ajst-25567	12	9	to	to	PART
ajst-25567	12	10	obtain	obtain	VERB
ajst-25567	12	11	intrinsic	intrinsic	ADJ
ajst-25567	12	12	mode	mode	NOUN
ajst-25567	12	13	function	function	NOUN
ajst-25567	12	14	(	(	PUNCT
ajst-25567	12	15	imf	imf	PROPN
ajst-25567	12	16	)	)	PUNCT
ajst-25567	12	17	components	component	NOUN
ajst-25567	12	18	,	,	PUNCT
ajst-25567	12	19	which	which	PRON
ajst-25567	12	20	are	be	AUX
ajst-25567	12	21	then	then	ADV
ajst-25567	12	22	reconstructed	reconstruct	VERB
ajst-25567	12	23	[	[	PUNCT
ajst-25567	12	24	2	2	NUM
ajst-25567	12	25	]	]	PUNCT
ajst-25567	12	26	.	.	PUNCT
ajst-25567	13	1	however	however	ADV
ajst-25567	13	2	,	,	PUNCT
ajst-25567	13	3	when	when	SCONJ
ajst-25567	13	4	the	the	DET
ajst-25567	13	5	signal	signal	NOUN
ajst-25567	13	6	contains	contain	VERB
ajst-25567	13	7	interference	interference	NOUN
ajst-25567	13	8	,	,	PUNCT
ajst-25567	13	9	emd	emd	PROPN
ajst-25567	13	10	can	can	AUX
ajst-25567	13	11	produce	produce	VERB
ajst-25567	13	12	mode	mode	NOUN
ajst-25567	13	13	mixing	mixing	NOUN
ajst-25567	13	14	,	,	PUNCT
ajst-25567	13	15	a	a	DET
ajst-25567	13	16	phenomenon	phenomenon	NOUN
ajst-25567	13	17	that	that	SCONJ
ajst-25567	13	18	it	it	PRON
ajst-25567	13	19	inherently	inherently	ADV
ajst-25567	13	20	struggles	struggle	VERB
ajst-25567	13	21	to	to	PART
ajst-25567	13	22	overcome	overcome	VERB
ajst-25567	13	23	[	[	PRON
ajst-25567	13	24	3	3	NUM
ajst-25567	13	25	]	]	PUNCT
ajst-25567	13	26	.	.	PUNCT
ajst-25567	14	1	this	this	DET
ajst-25567	14	2	mode	mode	NOUN
ajst-25567	14	3	mixing	mix	VERB
ajst-25567	14	4	can	can	AUX
ajst-25567	14	5	compromise	compromise	VERB
ajst-25567	14	6	the	the	DET
ajst-25567	14	7	accuracy	accuracy	NOUN
ajst-25567	14	8	of	of	ADP
ajst-25567	14	9	the	the	DET
ajst-25567	14	10	decomposition	decomposition	NOUN
ajst-25567	14	11	.	.	PUNCT
ajst-25567	15	1	the	the	DET
ajst-25567	15	2	complexity	complexity	NOUN
ajst-25567	15	3	of	of	ADP
ajst-25567	15	4	interference	interference	NOUN
ajst-25567	15	5	in	in	ADP
ajst-25567	15	6	real	real	ADJ
ajst-25567	15	7	seismic	seismic	ADJ
ajst-25567	15	8	data	data	NOUN
ajst-25567	15	9	limits	limit	VERB
ajst-25567	15	10	the	the	DET
ajst-25567	15	11	effectiveness	effectiveness	NOUN
ajst-25567	15	12	of	of	ADP
ajst-25567	15	13	emd	emd	PROPN
ajst-25567	15	14	in	in	ADP
ajst-25567	15	15	seismic	seismic	ADJ
ajst-25567	15	16	processing	processing	NOUN
ajst-25567	15	17	applications	application	NOUN
ajst-25567	15	18	.	.	PUNCT
ajst-25567	16	1	to	to	PART
ajst-25567	16	2	address	address	VERB
ajst-25567	16	3	the	the	DET
ajst-25567	16	4	shortcomings	shortcoming	NOUN
ajst-25567	16	5	of	of	ADP
ajst-25567	16	6	the	the	DET
ajst-25567	16	7	emd	emd	PROPN
ajst-25567	16	8	method	method	NOUN
ajst-25567	16	9	,	,	PUNCT
ajst-25567	16	10	wu	wu	PROPN
ajst-25567	16	11	et	et	PROPN
ajst-25567	16	12	al	al	PROPN
ajst-25567	16	13	.	.	PROPN
ajst-25567	16	14	proposed	propose	VERB
ajst-25567	16	15	the	the	DET
ajst-25567	16	16	ensemble	ensemble	ADJ
ajst-25567	16	17	empirical	empirical	ADJ
ajst-25567	16	18	mode	mode	NOUN
ajst-25567	16	19	decomposition	decomposition	NOUN
ajst-25567	16	20	(	(	PUNCT
ajst-25567	16	21	eemd	eemd	NOUN
ajst-25567	16	22	)	)	PUNCT
ajst-25567	16	23	method	method	NOUN
ajst-25567	16	24	,	,	PUNCT
ajst-25567	16	25	which	which	PRON
ajst-25567	16	26	adds	add	VERB
ajst-25567	16	27	gaussian	gaussian	ADJ
ajst-25567	16	28	white	white	ADJ
ajst-25567	16	29	noise	noise	NOUN
ajst-25567	16	30	as	as	ADP
ajst-25567	16	31	background	background	NOUN
ajst-25567	16	32	noise	noise	NOUN
ajst-25567	16	33	to	to	ADP
ajst-25567	16	34	the	the	DET
ajst-25567	16	35	original	original	ADJ
ajst-25567	16	36	signal	signal	NOUN
ajst-25567	16	37	to	to	PART
ajst-25567	16	38	solve	solve	VERB
ajst-25567	16	39	the	the	DET
ajst-25567	16	40	mode	mode	NOUN
ajst-25567	16	41	mixing	mix	VERB
ajst-25567	16	42	problem	problem	NOUN
ajst-25567	16	43	in	in	ADP
ajst-25567	16	44	emd[4	emd[4	NOUN
ajst-25567	16	45	]	]	PUNCT
ajst-25567	16	46	.	.	PUNCT
ajst-25567	17	1	however	however	ADV
ajst-25567	17	2	,	,	PUNCT
ajst-25567	17	3	the	the	DET
ajst-25567	17	4	additional	additional	ADJ
ajst-25567	17	5	noise	noise	NOUN
ajst-25567	17	6	introduced	introduce	VERB
ajst-25567	17	7	by	by	ADP
ajst-25567	17	8	this	this	DET
ajst-25567	17	9	method	method	NOUN
ajst-25567	17	10	results	result	NOUN
ajst-25567	17	11	in	in	ADP
ajst-25567	17	12	significant	significant	ADJ
ajst-25567	17	13	residual	residual	ADJ
ajst-25567	17	14	noise	noise	NOUN
ajst-25567	17	15	during	during	ADP
ajst-25567	17	16	reconstruction	reconstruction	NOUN
ajst-25567	17	17	and	and	CCONJ
ajst-25567	17	18	lowers	lower	VERB
ajst-25567	17	19	computational	computational	ADJ
ajst-25567	17	20	efficiency	efficiency	NOUN
ajst-25567	17	21	.	.	PUNCT
ajst-25567	18	1	this	this	PRON
ajst-25567	18	2	led	lead	VERB
ajst-25567	18	3	to	to	ADP
ajst-25567	18	4	further	further	ADJ
ajst-25567	18	5	developments	development	NOUN
ajst-25567	18	6	,	,	PUNCT
ajst-25567	18	7	resulting	result	VERB
ajst-25567	18	8	in	in	ADP
ajst-25567	18	9	the	the	DET
ajst-25567	18	10	ceemd	ceemd	NOUN
ajst-25567	18	11	and	and	CCONJ
ajst-25567	18	12	ceemdan	ceemdan	PROPN
ajst-25567	18	13	methods	method	NOUN
ajst-25567	18	14	.	.	PUNCT
ajst-25567	19	1	the	the	DET
ajst-25567	19	2	ceemd	ceemd	NOUN
ajst-25567	19	3	(	(	PUNCT
ajst-25567	19	4	complementary	complementary	ADJ
ajst-25567	19	5	ensemble	ensemble	ADJ
ajst-25567	19	6	empirical	empirical	ADJ
ajst-25567	19	7	mode	mode	NOUN
ajst-25567	19	8	decomposition	decomposition	NOUN
ajst-25567	19	9	)	)	PUNCT
ajst-25567	19	10	algorithm	algorithm	NOUN
ajst-25567	19	11	,	,	PUNCT
ajst-25567	19	12	proposed	propose	VERB
ajst-25567	19	13	by	by	ADP
ajst-25567	19	14	yeh	yeh	PROPN
ajst-25567	19	15	et	et	PROPN
ajst-25567	19	16	al	al	PROPN
ajst-25567	19	17	.	.	PROPN
ajst-25567	19	18	,	,	PUNCT
ajst-25567	19	19	adds	add	VERB
ajst-25567	19	20	pairs	pair	NOUN
ajst-25567	19	21	of	of	ADP
ajst-25567	19	22	positive	positive	ADJ
ajst-25567	19	23	and	and	CCONJ
ajst-25567	19	24	negative	negative	ADJ
ajst-25567	19	25	white	white	ADJ
ajst-25567	19	26	noise	noise	NOUN
ajst-25567	19	27	and	and	CCONJ
ajst-25567	19	28	sums	sum	VERB
ajst-25567	19	29	the	the	DET
ajst-25567	19	30	auxiliary	auxiliary	ADJ
ajst-25567	19	31	white	white	ADJ
ajst-25567	19	32	noise	noise	NOUN
ajst-25567	19	33	during	during	ADP
ajst-25567	19	34	the	the	DET
ajst-25567	19	35	imf	imf	PROPN
ajst-25567	19	36	calculation	calculation	NOUN
ajst-25567	19	37	process	process	NOUN
ajst-25567	19	38	,	,	PUNCT
ajst-25567	19	39	effectively	effectively	ADV
ajst-25567	19	40	addressing	address	VERB
ajst-25567	19	41	the	the	DET
ajst-25567	19	42	residual	residual	ADJ
ajst-25567	19	43	noise	noise	NOUN
ajst-25567	19	44	problem	problem	NOUN
ajst-25567	19	45	caused	cause	VERB
ajst-25567	19	46	by	by	ADP
ajst-25567	19	47	the	the	DET
ajst-25567	19	48	added	add	VERB
ajst-25567	19	49	white	white	ADJ
ajst-25567	19	50	noise	noise	NOUN
ajst-25567	19	51	in	in	ADP
ajst-25567	19	52	the	the	DET
ajst-25567	19	53	eemd	eemd	PROPN
ajst-25567	19	54	method[5	method[5	PROPN
ajst-25567	19	55	]	]	PUNCT
ajst-25567	19	56	.	.	PUNCT
ajst-25567	20	1	the	the	DET
ajst-25567	20	2	ceemdan	ceemdan	PROPN
ajst-25567	20	3	(	(	PUNCT
ajst-25567	20	4	complete	complete	ADJ
ajst-25567	20	5	ensemble	ensemble	ADJ
ajst-25567	20	6	empirical	empirical	ADJ
ajst-25567	20	7	mode	mode	NOUN
ajst-25567	20	8	decomposition	decomposition	NOUN
ajst-25567	20	9	with	with	ADP
ajst-25567	20	10	adaptive	adaptive	ADJ
ajst-25567	20	11	noise	noise	NOUN
ajst-25567	20	12	)	)	PUNCT
ajst-25567	20	13	method	method	NOUN
ajst-25567	20	14	,	,	PUNCT
ajst-25567	20	15	proposed	propose	VERB
ajst-25567	20	16	by	by	ADP
ajst-25567	20	17	torres	torre	NOUN
ajst-25567	20	18	et	et	PROPN
ajst-25567	20	19	al	al	PROPN
ajst-25567	20	20	.	.	PROPN
ajst-25567	20	21	,	,	PUNCT
ajst-25567	20	22	also	also	ADV
ajst-25567	20	23	effectively	effectively	ADV
ajst-25567	20	24	reduces	reduce	VERB
ajst-25567	20	25	computational	computational	ADJ
ajst-25567	20	26	costs	cost	NOUN
ajst-25567	20	27	[	[	X
ajst-25567	20	28	6	6	NUM
ajst-25567	20	29	]	]	PUNCT
ajst-25567	20	30	.	.	PUNCT
ajst-25567	21	1	ceemd	ceemd	PROPN
ajst-25567	21	2	and	and	CCONJ
ajst-25567	21	3	ceemdan	ceemdan	PROPN
ajst-25567	21	4	are	be	AUX
ajst-25567	21	5	two	two	NUM
ajst-25567	21	6	distinct	distinct	ADJ
ajst-25567	21	7	methods	method	NOUN
ajst-25567	21	8	developed	develop	VERB
ajst-25567	21	9	to	to	PART
ajst-25567	21	10	address	address	VERB
ajst-25567	21	11	issues	issue	NOUN
ajst-25567	21	12	encountered	encounter	VERB
ajst-25567	21	13	with	with	ADP
ajst-25567	21	14	eemd	eemd	PROPN
ajst-25567	21	15	,	,	PUNCT
ajst-25567	21	16	each	each	PRON
ajst-25567	21	17	with	with	ADP
ajst-25567	21	18	its	its	PRON
ajst-25567	21	19	own	own	ADJ
ajst-25567	21	20	advantages	advantage	NOUN
ajst-25567	21	21	and	and	CCONJ
ajst-25567	21	22	disadvantages	disadvantage	NOUN
ajst-25567	21	23	.	.	PUNCT
ajst-25567	22	1	this	this	DET
ajst-25567	22	2	paper	paper	NOUN
ajst-25567	22	3	focuses	focus	VERB
ajst-25567	22	4	on	on	ADP
ajst-25567	22	5	studying	study	VERB
ajst-25567	22	6	the	the	DET
ajst-25567	22	7	strengths	strength	NOUN
ajst-25567	22	8	and	and	CCONJ
ajst-25567	22	9	weaknesses	weakness	NOUN
ajst-25567	22	10	of	of	ADP
ajst-25567	22	11	these	these	DET
ajst-25567	22	12	two	two	NUM
ajst-25567	22	13	methods	method	NOUN
ajst-25567	22	14	in	in	ADP
ajst-25567	22	15	seismic	seismic	ADJ
ajst-25567	22	16	signal	signal	NOUN
ajst-25567	22	17	processing	processing	NOUN
ajst-25567	22	18	.	.	PUNCT
ajst-25567	23	1	by	by	ADP
ajst-25567	23	2	comparing	compare	VERB
ajst-25567	23	3	the	the	DET
ajst-25567	23	4	performance	performance	NOUN
ajst-25567	23	5	of	of	ADP
ajst-25567	23	6	ceemd	ceemd	NOUN
ajst-25567	23	7	and	and	CCONJ
ajst-25567	23	8	ceemdan	ceemdan	PROPN
ajst-25567	23	9	in	in	ADP
ajst-25567	23	10	handling	handle	VERB
ajst-25567	23	11	seismic	seismic	ADJ
ajst-25567	23	12	data	datum	NOUN
ajst-25567	23	13	,	,	PUNCT
ajst-25567	23	14	the	the	DET
ajst-25567	23	15	paper	paper	NOUN
ajst-25567	23	16	summarizes	summarize	VERB
ajst-25567	23	17	the	the	DET
ajst-25567	23	18	pros	pro	NOUN
ajst-25567	23	19	and	and	CCONJ
ajst-25567	23	20	cons	con	NOUN
ajst-25567	23	21	of	of	ADP
ajst-25567	23	22	applying	apply	VERB
ajst-25567	23	23	these	these	DET
ajst-25567	23	24	methods	method	NOUN
ajst-25567	23	25	to	to	ADP
ajst-25567	23	26	seismic	seismic	ADJ
ajst-25567	23	27	signal	signal	NOUN
ajst-25567	23	28	processing	processing	NOUN
ajst-25567	23	29	.	.	PUNCT
ajst-25567	24	1	2	2	X
ajst-25567	24	2	.	.	X
ajst-25567	24	3	principles	principle	NOUN
ajst-25567	24	4	of	of	ADP
ajst-25567	24	5	the	the	DET
ajst-25567	24	6	ceemd	ceemd	PROPN
ajst-25567	24	7	method	method	PROPN
ajst-25567	24	8	ceemd	ceemd	PROPN
ajst-25567	24	9	builds	build	VERB
ajst-25567	24	10	upon	upon	SCONJ
ajst-25567	24	11	emd	emd	PROPN
ajst-25567	24	12	by	by	ADP
ajst-25567	24	13	adding	add	VERB
ajst-25567	24	14	pairs	pair	NOUN
ajst-25567	24	15	of	of	ADP
ajst-25567	24	16	positive	positive	ADJ
ajst-25567	24	17	and	and	CCONJ
ajst-25567	24	18	negative	negative	ADJ
ajst-25567	24	19	white	white	ADJ
ajst-25567	24	20	noise	noise	NOUN
ajst-25567	24	21	.	.	PUNCT
ajst-25567	25	1	during	during	ADP
ajst-25567	25	2	the	the	DET
ajst-25567	25	3	process	process	NOUN
ajst-25567	25	4	of	of	ADP
ajst-25567	25	5	decomposing	decompose	VERB
ajst-25567	25	6	and	and	CCONJ
ajst-25567	25	7	selecting	select	VERB
ajst-25567	25	8	each	each	DET
ajst-25567	25	9	imf	imf	PROPN
ajst-25567	25	10	component	component	NOUN
ajst-25567	25	11	,	,	PUNCT
ajst-25567	25	12	the	the	DET
ajst-25567	25	13	corresponding	corresponding	ADJ
ajst-25567	25	14	positive	positive	ADJ
ajst-25567	25	15	and	and	CCONJ
ajst-25567	25	16	negative	negative	ADJ
ajst-25567	25	17	auxiliary	auxiliary	ADJ
ajst-25567	25	18	noise	noise	NOUN
ajst-25567	25	19	is	be	AUX
ajst-25567	25	20	summed	sum	VERB
ajst-25567	25	21	.	.	PUNCT
ajst-25567	26	1	the	the	DET
ajst-25567	26	2	first	first	ADJ
ajst-25567	26	3	step	step	NOUN
ajst-25567	26	4	is	be	AUX
ajst-25567	26	5	to	to	PART
ajst-25567	26	6	add	add	VERB
ajst-25567	26	7	white	white	ADJ
ajst-25567	26	8	noise	noise	NOUN
ajst-25567	26	9			PROPN
ajst-25567	26	10	tni	tni	NOUN
ajst-25567	26	11	with	with	ADP
ajst-25567	26	12	amplitude	amplitude	NOUN
ajst-25567	26	13	0a	0a	PROPN
ajst-25567	26	14	to	to	ADP
ajst-25567	26	15	the	the	DET
ajst-25567	26	16	original	original	ADJ
ajst-25567	26	17	signal	signal	NOUN
ajst-25567	26	18			PROPN
ajst-25567	26	19	ts	ts	NUM
ajst-25567	26	20	,	,	PUNCT
ajst-25567	26	21	resulting	result	VERB
ajst-25567	26	22	in	in	ADP
ajst-25567	26	23	a	a	DET
ajst-25567	26	24	new	new	ADJ
ajst-25567	26	25	signal	signal	NOUN
ajst-25567	26	26	:	:	PUNCT
ajst-25567	26	27			NOUN
ajst-25567	27	1			SYM
ajst-25567	27	2			NOUN
ajst-25567	27	3			SYM
ajst-25567	27	4			NOUN
ajst-25567	27	5			SYM
ajst-25567	27	6			NOUN
ajst-25567	28	1	tnatsts	tnatst	NOUN
ajst-25567	29	1	i	i	PRON
ajst-25567	29	2	p	p	X
ajst-25567	30	1	i	i	PRON
ajst-25567	30	2	01	01	VERB
ajst-25567	30	3	(	(	PUNCT
ajst-25567	30	4	1	1	NUM
ajst-25567	30	5	)	)	PUNCT
ajst-25567	30	6	in	in	ADP
ajst-25567	30	7	which	which	PRON
ajst-25567	30	8	,	,	PUNCT
ajst-25567	30	9	p	p	NOUN
ajst-25567	30	10	is	be	AUX
ajst-25567	30	11	the	the	DET
ajst-25567	30	12	coefficient	coefficient	NOUN
ajst-25567	30	13	controlling	control	VERB
ajst-25567	30	14	the	the	DET
ajst-25567	30	15	positive	positive	ADJ
ajst-25567	30	16	and	and	CCONJ
ajst-25567	30	17	negative	negative	ADJ
ajst-25567	30	18	noise	noise	NOUN
ajst-25567	30	19	,	,	PUNCT
ajst-25567	30	20	with	with	ADP
ajst-25567	30	21	p	p	PROPN
ajst-25567	30	22	=	=	SYM
ajst-25567	30	23	0	0	NUM
ajst-25567	30	24	,	,	PUNCT
ajst-25567	30	25	1	1	NUM
ajst-25567	30	26	.	.	PUNCT
ajst-25567	31	1	i	i	PRON
ajst-25567	31	2	represents	represent	VERB
ajst-25567	31	3	the	the	DET
ajst-25567	31	4	number	number	NOUN
ajst-25567	31	5	of	of	ADP
ajst-25567	31	6	times	times	PROPN
ajst-25567	31	7	auxiliary	auxiliary	ADJ
ajst-25567	31	8	white	white	ADJ
ajst-25567	31	9	noise	noise	NOUN
ajst-25567	31	10	is	be	AUX
ajst-25567	31	11	added	add	VERB
ajst-25567	31	12	,	,	PUNCT
ajst-25567	31	13	with	with	ADP
ajst-25567	31	14	values	value	NOUN
ajst-25567	31	15	2/,	2/,	NUM
ajst-25567	31	16	...	...	PUNCT
ajst-25567	31	17	,2,1	,2,1	PROPN
ajst-25567	31	18	mi	mi	PROPN
ajst-25567	32	1			PROPN
ajst-25567	32	2	.	.	PUNCT
ajst-25567	33	1	in	in	ADP
ajst-25567	33	2	the	the	DET
ajst-25567	33	3	second	second	ADJ
ajst-25567	33	4	step	step	NOUN
ajst-25567	33	5	,	,	PUNCT
ajst-25567	33	6	the	the	DET
ajst-25567	33	7	emd	emd	PROPN
ajst-25567	33	8	algorithm	algorithm	PROPN
ajst-25567	33	9	is	be	AUX
ajst-25567	33	10	applied	apply	VERB
ajst-25567	33	11	to	to	ADP
ajst-25567	33	12	the	the	DET
ajst-25567	33	13	new	new	ADJ
ajst-25567	33	14	signal	signal	NOUN
ajst-25567	33	15			PROPN
ajst-25567	33	16	tsi	tsi	PROPN
ajst-25567	33	17	,	,	PUNCT
ajst-25567	33	18	resulting	result	VERB
ajst-25567	33	19	in	in	ADP
ajst-25567	33	20	a	a	DET
ajst-25567	33	21	series	series	NOUN
ajst-25567	33	22	of	of	ADP
ajst-25567	33	23	intrinsic	intrinsic	ADJ
ajst-25567	33	24	mode	mode	NOUN
ajst-25567	33	25	function	function	NOUN
ajst-25567	33	26	(	(	PUNCT
ajst-25567	33	27	imf	imf	PROPN
ajst-25567	33	28	)	)	PUNCT
ajst-25567	33	29	components	component	NOUN
ajst-25567	33	30			PROPN
ajst-25567	33	31	timf	timf	PROPN
ajst-25567	34	1	ji	ji	PROPN
ajst-25567	35	1			PROPN
ajst-25567	35	2	,	,	PUNCT
ajst-25567	35	3	:	:	PUNCT
ajst-25567	35	4			NOUN
ajst-25567	35	5			SYM
ajst-25567	35	6			NOUN
ajst-25567	35	7			PROPN
ajst-25567	35	8			PROPN
ajst-25567	35	9			PROPN
ajst-25567	35	10			NOUN
ajst-25567	35	11	2/	2/	NUM
ajst-25567	35	12	1	1	NUM
ajst-25567	35	13	,	,	PUNCT
ajst-25567	35	14	2	2	NUM
ajst-25567	35	15	m	m	VERB
ajst-25567	36	1	i	i	PRON
ajst-25567	36	2	jij	jij	INTJ
ajst-25567	36	3	timf	timf	VERB
ajst-25567	36	4	m	m	VERB
ajst-25567	36	5	timf	timf	NOUN
ajst-25567	36	6	(	(	PUNCT
ajst-25567	36	7	2	2	NUM
ajst-25567	36	8	)	)	PUNCT
ajst-25567	36	9			NOUN
ajst-25567	36	10			SYM
ajst-25567	36	11			NOUN
ajst-25567	36	12			ADP
ajst-25567	36	13			NUM
ajst-25567	36	14			NOUN
ajst-25567	36	15			NOUN
ajst-25567	36	16	2/	2/	NUM
ajst-25567	36	17	1	1	NUM
ajst-25567	36	18	,	,	PUNCT
ajst-25567	36	19	2	2	NUM
ajst-25567	36	20	m	m	VERB
ajst-25567	37	1	i	i	PRON
ajst-25567	37	2	jij	jij	INTJ
ajst-25567	37	3	timf	timf	VERB
ajst-25567	37	4	m	m	VERB
ajst-25567	37	5	timf	timf	NOUN
ajst-25567	37	6	(	(	PUNCT
ajst-25567	37	7	3	3	NUM
ajst-25567	37	8	)	)	PUNCT
ajst-25567	37	9	in	in	ADP
ajst-25567	37	10	the	the	DET
ajst-25567	37	11	third	third	ADJ
ajst-25567	37	12	step	step	NOUN
ajst-25567	37	13	,	,	PUNCT
ajst-25567	37	14	the	the	DET
ajst-25567	37	15	series	series	NOUN
ajst-25567	37	16	of	of	ADP
ajst-25567	37	17	imf	imf	PROPN
ajst-25567	37	18	components	component	NOUN
ajst-25567	37	19	containing	contain	VERB
ajst-25567	37	20	positive	positive	ADJ
ajst-25567	37	21	and	and	CCONJ
ajst-25567	37	22	negative	negative	ADJ
ajst-25567	37	23	auxiliary	auxiliary	ADJ
ajst-25567	37	24	noise	noise	NOUN
ajst-25567	37	25	are	be	AUX
ajst-25567	37	26	added	add	VERB
ajst-25567	37	27	together	together	ADV
ajst-25567	37	28	correspondingly	correspondingly	ADV
ajst-25567	37	29	.	.	PUNCT
ajst-25567	38	1	then	then	ADV
ajst-25567	38	2	,	,	PUNCT
ajst-25567	38	3	the	the	DET
ajst-25567	38	4	n	n	NOUN
ajst-25567	38	5	averaged	average	VERB
ajst-25567	38	6	imf	imf	PROPN
ajst-25567	38	7	components	component	NOUN
ajst-25567	38	8	are	be	AUX
ajst-25567	38	9	combined	combine	VERB
ajst-25567	38	10	to	to	PART
ajst-25567	38	11	obtain	obtain	VERB
ajst-25567	38	12	the	the	DET
ajst-25567	38	13	final	final	ADJ
ajst-25567	38	14	jiimfi	jiimfi	NOUN
ajst-25567	38	15	,	,	PUNCT
ajst-25567	38	16	...	...	PUNCT
ajst-25567	38	17	,	,	PUNCT
ajst-25567	38	18	2,1	2,1	NUM
ajst-25567	38	19	,	,	PUNCT
ajst-25567	38	20			PROPN
ajst-25567	38	21	.	.	PUNCT
ajst-25567	39	1	the	the	DET
ajst-25567	39	2	detailed	detailed	ADJ
ajst-25567	39	3	process	process	NOUN
ajst-25567	39	4	of	of	ADP
ajst-25567	39	5	the	the	DET
ajst-25567	39	6	ceemd	ceemd	NOUN
ajst-25567	39	7	algorithm	algorithm	NOUN
ajst-25567	39	8	is	be	AUX
ajst-25567	39	9	illustrated	illustrate	VERB
ajst-25567	39	10	in	in	ADP
ajst-25567	39	11	figure	figure	NOUN
ajst-25567	39	12	1	1	NUM
ajst-25567	39	13	.	.	NOUN
ajst-25567	39	14	64	64	NUM
ajst-25567	39	15	figure	figure	NOUN
ajst-25567	39	16	1	1	NUM
ajst-25567	39	17	.	.	PUNCT
ajst-25567	40	1	flowchart	flowchart	NOUN
ajst-25567	40	2	of	of	ADP
ajst-25567	40	3	the	the	DET
ajst-25567	40	4	ceemd	ceemd	NOUN
ajst-25567	40	5	process	process	NOUN
ajst-25567	40	6	3	3	X
ajst-25567	40	7	.	.	PUNCT
ajst-25567	41	1	principles	principle	NOUN
ajst-25567	41	2	of	of	ADP
ajst-25567	41	3	the	the	DET
ajst-25567	41	4	ceemdan	ceemdan	PROPN
ajst-25567	41	5	method	method	NOUN
ajst-25567	41	6	unlike	unlike	ADP
ajst-25567	41	7	ceemd	ceemd	NOUN
ajst-25567	41	8	,	,	PUNCT
ajst-25567	41	9	which	which	PRON
ajst-25567	41	10	directly	directly	ADV
ajst-25567	41	11	adds	add	VERB
ajst-25567	41	12	auxiliary	auxiliary	ADJ
ajst-25567	41	13	noise	noise	NOUN
ajst-25567	41	14	,	,	PUNCT
ajst-25567	41	15	ceemdan	ceemdan	PROPN
ajst-25567	41	16	first	first	ADV
ajst-25567	41	17	decomposes	decompose	VERB
ajst-25567	41	18	the	the	DET
ajst-25567	41	19	added	add	VERB
ajst-25567	41	20	auxiliary	auxiliary	ADJ
ajst-25567	41	21	white	white	ADJ
ajst-25567	41	22	noise	noise	NOUN
ajst-25567	41	23	using	use	VERB
ajst-25567	41	24	emd	emd	PROPN
ajst-25567	41	25	before	before	ADP
ajst-25567	41	26	incorporating	incorporate	VERB
ajst-25567	41	27	it	it	PRON
ajst-25567	41	28	into	into	ADP
ajst-25567	41	29	the	the	DET
ajst-25567	41	30	imf	imf	PROPN
ajst-25567	41	31	component	component	NOUN
ajst-25567	41	32	decomposition	decomposition	NOUN
ajst-25567	41	33	process	process	NOUN
ajst-25567	41	34	.	.	PUNCT
ajst-25567	42	1	in	in	ADP
ajst-25567	42	2	ceemdan	ceemdan	PROPN
ajst-25567	42	3	,	,	PUNCT
ajst-25567	42	4	the	the	DET
ajst-25567	42	5	first	first	ADJ
ajst-25567	42	6	-	-	PUNCT
ajst-25567	42	7	order	order	NOUN
ajst-25567	42	8	imf	imf	PROPN
ajst-25567	42	9	component	component	NOUN
ajst-25567	42	10	of	of	ADP
ajst-25567	42	11	the	the	DET
ajst-25567	42	12	auxiliary	auxiliary	ADJ
ajst-25567	42	13	white	white	ADJ
ajst-25567	42	14	noise	noise	NOUN
ajst-25567	42	15	is	be	AUX
ajst-25567	42	16	added	add	VERB
ajst-25567	42	17	to	to	ADP
ajst-25567	42	18	the	the	DET
ajst-25567	42	19	residual	residual	ADJ
ajst-25567	42	20	signal	signal	NOUN
ajst-25567	42	21	obtained	obtain	VERB
ajst-25567	42	22	after	after	ADP
ajst-25567	42	23	extracting	extract	VERB
ajst-25567	42	24	the	the	DET
ajst-25567	42	25	first	first	ADJ
ajst-25567	42	26	-	-	PUNCT
ajst-25567	42	27	order	order	NOUN
ajst-25567	42	28	imf	imf	PROPN
ajst-25567	42	29	components	component	NOUN
ajst-25567	42	30	1	1	NUM
ajst-25567	42	31	(	(	PUNCT
ajst-25567	42	32	)	)	PUNCT
ajst-25567	42	33	imf	imf	PROPN
ajst-25567	42	34	t	t	PROPN
ajst-25567	42	35	,	,	PUNCT
ajst-25567	42	36	and	and	CCONJ
ajst-25567	42	37	then	then	ADV
ajst-25567	42	38	averaged	average	VERB
ajst-25567	42	39	to	to	PART
ajst-25567	42	40	obtain	obtain	VERB
ajst-25567	42	41	the	the	DET
ajst-25567	42	42	final	final	ADJ
ajst-25567	42	43	first	first	ADJ
ajst-25567	42	44	-	-	PUNCT
ajst-25567	42	45	order	order	NOUN
ajst-25567	42	46	imf	imf	PROPN
ajst-25567	42	47	component	component	NOUN
ajst-25567	42	48	1	1	NUM
ajst-25567	42	49	(	(	PUNCT
ajst-25567	42	50	)	)	PUNCT
ajst-25567	42	51	imf	imf	PROPN
ajst-25567	42	52	t	t	PROPN
ajst-25567	42	53	.	.	PUNCT
ajst-25567	43	1	after	after	ADP
ajst-25567	43	2	extracting	extract	VERB
ajst-25567	43	3	this	this	DET
ajst-25567	43	4	component	component	NOUN
ajst-25567	43	5	,	,	PUNCT
ajst-25567	43	6	the	the	DET
ajst-25567	43	7	resulting	result	VERB
ajst-25567	43	8	residual	residual	ADJ
ajst-25567	43	9	signal	signal	NOUN
ajst-25567	43	10	is	be	AUX
ajst-25567	43	11	used	use	VERB
ajst-25567	43	12	as	as	ADP
ajst-25567	43	13	the	the	DET
ajst-25567	43	14	new	new	ADJ
ajst-25567	43	15	input	input	NOUN
ajst-25567	43	16	signal	signal	NOUN
ajst-25567	43	17	for	for	ADP
ajst-25567	43	18	further	further	ADJ
ajst-25567	43	19	decomposition	decomposition	NOUN
ajst-25567	43	20	,	,	PUNCT
ajst-25567	43	21	continuing	continue	VERB
ajst-25567	43	22	the	the	DET
ajst-25567	43	23	iterative	iterative	NOUN
ajst-25567	43	24	process	process	NOUN
ajst-25567	43	25	to	to	PART
ajst-25567	43	26	obtain	obtain	VERB
ajst-25567	43	27	the	the	DET
ajst-25567	43	28	remaining	remain	VERB
ajst-25567	43	29	imf	imf	PROPN
ajst-25567	43	30	components	component	NOUN
ajst-25567	43	31	1	1	NUM
ajst-25567	43	32	(	(	PUNCT
ajst-25567	43	33	)	)	PUNCT
ajst-25567	43	34	imf	imf	PROPN
ajst-25567	43	35	t	t	PROPN
ajst-25567	44	1	[	[	X
ajst-25567	44	2	7	7	NUM
ajst-25567	44	3	]	]	PUNCT
ajst-25567	44	4	.	.	PUNCT
ajst-25567	45	1	the	the	DET
ajst-25567	45	2	process	process	NOUN
ajst-25567	45	3	is	be	AUX
ajst-25567	45	4	as	as	SCONJ
ajst-25567	45	5	follows	follow	VERB
ajst-25567	45	6	:	:	PUNCT
ajst-25567	45	7	step	step	NOUN
ajst-25567	45	8	1	1	NUM
ajst-25567	45	9	:	:	PUNCT
ajst-25567	45	10	add	add	VERB
ajst-25567	45	11	gaussian	gaussian	ADJ
ajst-25567	45	12	white	white	ADJ
ajst-25567	45	13	noise	noise	NOUN
ajst-25567	45	14	to	to	ADP
ajst-25567	45	15	the	the	DET
ajst-25567	45	16	original	original	ADJ
ajst-25567	45	17	signal	signal	NOUN
ajst-25567	45	18	(	(	PUNCT
ajst-25567	45	19	)	)	PUNCT
ajst-25567	45	20	s	s	PROPN
ajst-25567	45	21	t	t	NOUN
ajst-25567	45	22	to	to	PART
ajst-25567	45	23	create	create	VERB
ajst-25567	45	24	a	a	DET
ajst-25567	45	25	new	new	ADJ
ajst-25567	45	26	signal	signal	NOUN
ajst-25567	45	27	:	:	PUNCT
ajst-25567	45	28			NOUN
ajst-25567	45	29			PROPN
ajst-25567	45	30			NOUN
ajst-25567	45	31			PROPN
ajst-25567	45	32	)	)	PUNCT
ajst-25567	45	33	(	(	PUNCT
ajst-25567	45	34	tntsts	tntst	NOUN
ajst-25567	45	35	ii	ii	PROPN
ajst-25567	45	36			PROPN
ajst-25567	45	37	(	(	PUNCT
ajst-25567	45	38	4	4	NUM
ajst-25567	45	39	)	)	PUNCT
ajst-25567	45	40	where	where	SCONJ
ajst-25567	45	41			PROPN
ajst-25567	45	42	is	be	AUX
ajst-25567	45	43	the	the	DET
ajst-25567	45	44	gaussian	gaussian	ADJ
ajst-25567	45	45	white	white	ADJ
ajst-25567	45	46	noise	noise	NOUN
ajst-25567	45	47	,	,	PUNCT
ajst-25567	45	48	)	)	PUNCT
ajst-25567	45	49	(	(	PUNCT
ajst-25567	45	50	tni	tni	NOUN
ajst-25567	45	51	is	be	AUX
ajst-25567	45	52	the	the	DET
ajst-25567	45	53	i	i	PROPN
ajst-25567	45	54	th	th	X
ajst-25567	45	55	white	white	PROPN
ajst-25567	45	56	gaussian	gaussian	PROPN
ajst-25567	45	57	noise	noise	NOUN
ajst-25567	45	58	,	,	PUNCT
ajst-25567	45	59	2/,	2/,	NUM
ajst-25567	45	60	...	...	PUNCT
ajst-25567	45	61	,2,1	,2,1	PROPN
ajst-25567	45	62	mi	mi	PROPN
ajst-25567	46	1			NOUN
ajst-25567	46	2	.	.	PUNCT
ajst-25567	47	1	the	the	DET
ajst-25567	47	2	m	m	VERB
ajst-25567	47	3	th	th	X
ajst-25567	47	4	firstorder	firstorder	NOUN
ajst-25567	47	5	imf	imf	PROPN
ajst-25567	47	6	component	component	PROPN
ajst-25567	47	7	1	1	NUM
ajst-25567	47	8	(	(	PUNCT
ajst-25567	47	9	)	)	PUNCT
ajst-25567	47	10	iimf	iimf	PROPN
ajst-25567	47	11	t	t	PROPN
ajst-25567	47	12	is	be	AUX
ajst-25567	47	13	obtained	obtain	VERB
ajst-25567	47	14	and	and	CCONJ
ajst-25567	47	15	the	the	DET
ajst-25567	47	16	overall	overall	ADJ
ajst-25567	47	17	average	average	NOUN
ajst-25567	47	18	is	be	AUX
ajst-25567	47	19	performed	perform	VERB
ajst-25567	47	20	to	to	PART
ajst-25567	47	21	obtain	obtain	VERB
ajst-25567	47	22	the	the	DET
ajst-25567	47	23	final	final	ADJ
ajst-25567	47	24	first	first	ADJ
ajst-25567	47	25	-	-	PUNCT
ajst-25567	47	26	order	order	NOUN
ajst-25567	47	27	imf	imf	PROPN
ajst-25567	47	28	component	component	NOUN
ajst-25567	47	29	1	1	NUM
ajst-25567	47	30	(	(	PUNCT
ajst-25567	47	31	)	)	PUNCT
ajst-25567	47	32	imf	imf	PROPN
ajst-25567	47	33	t	t	NOUN
ajst-25567	47	34	:	:	PUNCT
ajst-25567	47	35	1	1	NUM
ajst-25567	47	36	1	1	NUM
ajst-25567	47	37	1	1	NUM
ajst-25567	47	38	1	1	NUM
ajst-25567	47	39	(	(	PUNCT
ajst-25567	47	40	)	)	PUNCT
ajst-25567	47	41	(	(	PUNCT
ajst-25567	47	42	)	)	PUNCT
ajst-25567	48	1	m	m	VERB
ajst-25567	48	2	i	i	INTJ
ajst-25567	49	1	i	i	PRON
ajst-25567	49	2	imf	imf	PROPN
ajst-25567	49	3	t	t	PROPN
ajst-25567	49	4	imf	imf	PROPN
ajst-25567	49	5	t	t	PROPN
ajst-25567	49	6	m	m	VERB
ajst-25567	49	7			NOUN
ajst-25567	49	8			ADJ
ajst-25567	49	9			X
ajst-25567	49	10	(	(	PUNCT
ajst-25567	49	11	5	5	X
ajst-25567	49	12	)	)	PUNCT
ajst-25567	49	13	step	step	NOUN
ajst-25567	49	14	2	2	NUM
ajst-25567	49	15	:	:	PUNCT
ajst-25567	49	16	extract	extract	VERB
ajst-25567	49	17	the	the	DET
ajst-25567	49	18	first	first	ADJ
ajst-25567	49	19	-	-	PUNCT
ajst-25567	49	20	order	order	NOUN
ajst-25567	49	21	imf	imf	PROPN
ajst-25567	49	22	component	component	NOUN
ajst-25567	49	23	1	1	NUM
ajst-25567	49	24	(	(	PUNCT
ajst-25567	49	25	)	)	PUNCT
ajst-25567	49	26	imf	imf	PROPN
ajst-25567	49	27	t	t	PROPN
ajst-25567	49	28	from	from	ADP
ajst-25567	49	29	the	the	DET
ajst-25567	49	30	original	original	ADJ
ajst-25567	49	31	signal	signal	NOUN
ajst-25567	49	32	(	(	PUNCT
ajst-25567	49	33	)	)	PUNCT
ajst-25567	49	34	s	s	PROPN
ajst-25567	49	35	t	t	NOUN
ajst-25567	49	36	to	to	PART
ajst-25567	49	37	obtain	obtain	VERB
ajst-25567	49	38	the	the	DET
ajst-25567	49	39	residual	residual	ADJ
ajst-25567	49	40	component	component	NOUN
ajst-25567	49	41	1	1	NUM
ajst-25567	49	42	(	(	PUNCT
ajst-25567	49	43	)	)	PUNCT
ajst-25567	49	44	r	r	NOUN
ajst-25567	49	45	t	t	NOUN
ajst-25567	49	46	:	:	PUNCT
ajst-25567	49	47	1	1	NUM
ajst-25567	49	48	1	1	NUM
ajst-25567	49	49	(	(	PUNCT
ajst-25567	49	50	)	)	PUNCT
ajst-25567	49	51	(	(	PUNCT
ajst-25567	49	52	)	)	PUNCT
ajst-25567	49	53	(	(	PUNCT
ajst-25567	49	54	)	)	PUNCT
ajst-25567	49	55	r	r	NOUN
ajst-25567	49	56	t	t	PROPN
ajst-25567	49	57	s	s	PROPN
ajst-25567	49	58	t	t	PROPN
ajst-25567	49	59	imf	imf	PROPN
ajst-25567	49	60	t	t	PROPN
ajst-25567	49	61			PROPN
ajst-25567	49	62	(	(	PUNCT
ajst-25567	49	63	6	6	NUM
ajst-25567	49	64	)	)	PUNCT
ajst-25567	49	65	add	add	VERB
ajst-25567	49	66	the	the	DET
ajst-25567	49	67	first	first	ADJ
ajst-25567	49	68	-	-	PUNCT
ajst-25567	49	69	order	order	NOUN
ajst-25567	49	70	imf	imf	PROPN
ajst-25567	49	71	component	component	NOUN
ajst-25567	49	72	of	of	ADP
ajst-25567	49	73	the	the	DET
ajst-25567	49	74	auxiliary	auxiliary	ADJ
ajst-25567	49	75	noise	noise	NOUN
ajst-25567	49	76	(	(	PUNCT
ajst-25567	49	77	)	)	PUNCT
ajst-25567	49	78	'	'	PUNCT
ajst-25567	49	79	iεn	iεn	ADP
ajst-25567	49	80	t	t	PROPN
ajst-25567	49	81	to	to	ADP
ajst-25567	49	82	the	the	DET
ajst-25567	49	83	residual	residual	ADJ
ajst-25567	49	84	component	component	NOUN
ajst-25567	49	85	1	1	NUM
ajst-25567	49	86	(	(	PUNCT
ajst-25567	49	87	)	)	PUNCT
ajst-25567	49	88	r	r	NOUN
ajst-25567	49	89	t	t	NOUN
ajst-25567	49	90	,	,	PUNCT
ajst-25567	49	91	and	and	CCONJ
ajst-25567	49	92	perform	perform	VERB
ajst-25567	49	93	emd	emd	PROPN
ajst-25567	49	94	decomposition	decomposition	NOUN
ajst-25567	49	95	:	:	PUNCT
ajst-25567	49	96	1	1	NUM
ajst-25567	49	97	2	2	NUM
ajst-25567	49	98	2	2	NUM
ajst-25567	49	99	(	(	PUNCT
ajst-25567	49	100	)	)	PUNCT
ajst-25567	49	101	ε	ε	PROPN
ajst-25567	49	102	(	(	PUNCT
ajst-25567	49	103	)	)	PUNCT
ajst-25567	49	104	(	(	PUNCT
ajst-25567	49	105	)	)	PUNCT
ajst-25567	49	106	(	(	PUNCT
ajst-25567	49	107	)	)	PUNCT
ajst-25567	49	108	i	i	PRON
ajst-25567	50	1	i	i	PRON
ajst-25567	50	2	ir	ir	VERB
ajst-25567	50	3	t	t	PROPN
ajst-25567	50	4	t	t	PROPN
ajst-25567	50	5	imf	imf	PROPN
ajst-25567	50	6	t	t	PROPN
ajst-25567	50	7	rn	rn	PROPN
ajst-25567	50	8	t	t	PROPN
ajst-25567	50	9			PROPN
ajst-25567	50	10			PUNCT
ajst-25567	50	11	(	(	PUNCT
ajst-25567	50	12	7	7	NUM
ajst-25567	50	13	)	)	PUNCT
ajst-25567	50	14	where	where	SCONJ
ajst-25567	50	15	2	2	NUM
ajst-25567	50	16	(	(	PUNCT
ajst-25567	50	17	)	)	PUNCT
ajst-25567	50	18	iimf	iimf	PROPN
ajst-25567	50	19	t	t	PROPN
ajst-25567	50	20	is	be	AUX
ajst-25567	50	21	the	the	DET
ajst-25567	50	22	gaussian	gaussian	ADJ
ajst-25567	50	23	white	white	ADJ
ajst-25567	50	24	noise	noise	NOUN
ajst-25567	50	25	for	for	ADP
ajst-25567	50	26	the	the	DET
ajst-25567	50	27	second	second	ADJ
ajst-25567	50	28	iteration	iteration	NOUN
ajst-25567	50	29	.	.	PUNCT
ajst-25567	51	1	obtain	obtain	VERB
ajst-25567	51	2	second	second	ADJ
ajst-25567	51	3	-	-	PUNCT
ajst-25567	51	4	order	order	NOUN
ajst-25567	51	5	imf	imf	PROPN
ajst-25567	51	6	components	component	NOUN
ajst-25567	51	7	,	,	PUNCT
ajst-25567	51	8	then	then	ADV
ajst-25567	51	9	average	average	VERB
ajst-25567	51	10	them	they	PRON
ajst-25567	51	11	to	to	PART
ajst-25567	51	12	get	get	VERB
ajst-25567	51	13	the	the	DET
ajst-25567	51	14	final	final	ADJ
ajst-25567	51	15	second	second	ADJ
ajst-25567	51	16	-	-	PUNCT
ajst-25567	51	17	order	order	NOUN
ajst-25567	51	18	imf	imf	PROPN
ajst-25567	51	19	component	component	NOUN
ajst-25567	51	20	2	2	NUM
ajst-25567	51	21	(	(	PUNCT
ajst-25567	51	22	)	)	PUNCT
ajst-25567	51	23	imf	imf	PROPN
ajst-25567	51	24	t	t	NOUN
ajst-25567	51	25	:	:	PUNCT
ajst-25567	51	26	2	2	NUM
ajst-25567	51	27	2	2	NUM
ajst-25567	51	28	1	1	NUM
ajst-25567	51	29	1	1	NUM
ajst-25567	51	30	(	(	PUNCT
ajst-25567	51	31	)	)	PUNCT
ajst-25567	51	32	(	(	PUNCT
ajst-25567	51	33	)	)	PUNCT
ajst-25567	51	34	m	m	VERB
ajst-25567	51	35	i	i	INTJ
ajst-25567	52	1	i	i	PRON
ajst-25567	52	2	imf	imf	PROPN
ajst-25567	52	3	t	t	PROPN
ajst-25567	52	4	imf	imf	PROPN
ajst-25567	52	5	t	t	PROPN
ajst-25567	52	6	m	m	VERB
ajst-25567	52	7			NOUN
ajst-25567	52	8			ADJ
ajst-25567	52	9			X
ajst-25567	52	10	(	(	PUNCT
ajst-25567	52	11	8)	8)	NUM
ajst-25567	52	12	using	use	VERB
ajst-25567	52	13	equation	equation	NOUN
ajst-25567	52	14	(	(	PUNCT
ajst-25567	52	15	6	6	NUM
ajst-25567	52	16	)	)	PUNCT
ajst-25567	52	17	,	,	PUNCT
ajst-25567	52	18	extract	extract	VERB
ajst-25567	52	19	the	the	DET
ajst-25567	52	20	second	second	ADJ
ajst-25567	52	21	-	-	PUNCT
ajst-25567	52	22	order	order	NOUN
ajst-25567	52	23	imf	imf	PROPN
ajst-25567	52	24	component	component	NOUN
ajst-25567	52	25	2	2	NUM
ajst-25567	52	26	(	(	PUNCT
ajst-25567	52	27	)	)	PUNCT
ajst-25567	52	28	imf	imf	PROPN
ajst-25567	52	29	t	t	PROPN
ajst-25567	52	30	from	from	ADP
ajst-25567	52	31	the	the	DET
ajst-25567	52	32	residual	residual	ADJ
ajst-25567	52	33	component	component	NOUN
ajst-25567	52	34	1	1	NUM
ajst-25567	52	35	(	(	PUNCT
ajst-25567	52	36	)	)	PUNCT
ajst-25567	52	37	r	r	NOUN
ajst-25567	52	38	t	t	NOUN
ajst-25567	52	39	to	to	PART
ajst-25567	52	40	obtain	obtain	VERB
ajst-25567	52	41	the	the	DET
ajst-25567	52	42	new	new	ADJ
ajst-25567	52	43	residual	residual	ADJ
ajst-25567	52	44	component	component	NOUN
ajst-25567	52	45	2	2	NUM
ajst-25567	52	46	(	(	PUNCT
ajst-25567	52	47	)	)	PUNCT
ajst-25567	52	48	r	r	NOUN
ajst-25567	52	49	t	t	PROPN
ajst-25567	52	50	.	.	PUNCT
ajst-25567	53	1	repeat	repeat	VERB
ajst-25567	53	2	this	this	DET
ajst-25567	53	3	process	process	NOUN
ajst-25567	53	4	iteratively	iteratively	ADV
ajst-25567	53	5	to	to	PART
ajst-25567	53	6	obtain	obtain	VERB
ajst-25567	53	7	the	the	DET
ajst-25567	53	8	remaining	remain	VERB
ajst-25567	53	9	imf	imf	PROPN
ajst-25567	53	10	components	component	NOUN
ajst-25567	53	11	(	(	PUNCT
ajst-25567	53	12	)	)	PUNCT
ajst-25567	53	13	kr	kr	PROPN
ajst-25567	53	14	t	t	PROPN
ajst-25567	53	15	:	:	PUNCT
ajst-25567	53	16	1	1	NUM
ajst-25567	53	17	1	1	NUM
ajst-25567	53	18	1	1	NUM
ajst-25567	53	19	1	1	NUM
ajst-25567	53	20	(	(	PUNCT
ajst-25567	53	21	)	)	PUNCT
ajst-25567	53	22	(	(	PUNCT
ajst-25567	53	23	)	)	PUNCT
ajst-25567	53	24	m	m	VERB
ajst-25567	54	1	i	i	INTJ
ajst-25567	54	2	k	k	PROPN
ajst-25567	55	1	k	k	PROPN
ajst-25567	56	1	i	i	PRON
ajst-25567	56	2	imf	imf	PROPN
ajst-25567	56	3	t	t	PROPN
ajst-25567	56	4	imf	imf	PROPN
ajst-25567	56	5	t	t	PROPN
ajst-25567	56	6	m	m	PROPN
ajst-25567	56	7			ADV
ajst-25567	56	8			PROPN
ajst-25567	56	9			ADJ
ajst-25567	56	10			X
ajst-25567	56	11	(	(	PUNCT
ajst-25567	56	12	9	9	NUM
ajst-25567	56	13	)	)	SYM
ajst-25567	57	1	1	1	NUM
ajst-25567	57	2	1	1	NUM
ajst-25567	57	3	1	1	NUM
ajst-25567	57	4	1	1	NUM
ajst-25567	57	5	1	1	NUM
ajst-25567	57	6	(	(	PUNCT
ajst-25567	57	7	)	)	PUNCT
ajst-25567	57	8	(	(	PUNCT
ajst-25567	57	9	)	)	PUNCT
ajst-25567	57	10	(	(	PUNCT
ajst-25567	57	11	)	)	PUNCT
ajst-25567	57	12	(	(	PUNCT
ajst-25567	57	13	)	)	PUNCT
ajst-25567	57	14	m	m	VERB
ajst-25567	58	1	i	i	VERB
ajst-25567	58	2	k	k	PROPN
ajst-25567	59	1	k	k	PROPN
ajst-25567	59	2	k	k	PROPN
ajst-25567	60	1	k	k	PROPN
ajst-25567	61	1	i	i	PRON
ajst-25567	61	2	r	r	NOUN
ajst-25567	61	3	t	t	NOUN
ajst-25567	61	4	r	r	NOUN
ajst-25567	61	5	t	t	PROPN
ajst-25567	61	6	imf	imf	PROPN
ajst-25567	61	7	t	t	PROPN
ajst-25567	61	8	r	r	PROPN
ajst-25567	61	9	t	t	PROPN
ajst-25567	61	10	m	m	PROPN
ajst-25567	61	11			ADV
ajst-25567	61	12			PUNCT
ajst-25567	61	13			PROPN
ajst-25567	61	14			PROPN
ajst-25567	61	15			PROPN
ajst-25567	61	16			NOUN
ajst-25567	61	17			X
ajst-25567	61	18	(	(	PUNCT
ajst-25567	61	19	10	10	NUM
ajst-25567	61	20	)	)	PUNCT
ajst-25567	61	21	finally	finally	ADV
ajst-25567	61	22	,	,	PUNCT
ajst-25567	61	23	reconstruct	reconstruct	VERB
ajst-25567	61	24	the	the	DET
ajst-25567	61	25	processed	process	VERB
ajst-25567	61	26	signal	signal	NOUN
ajst-25567	61	27	by	by	ADP
ajst-25567	61	28	summing	sum	VERB
ajst-25567	61	29	all	all	DET
ajst-25567	61	30	the	the	DET
ajst-25567	61	31	obtained	obtain	VERB
ajst-25567	61	32	imf	imf	PROPN
ajst-25567	61	33	components	component	NOUN
ajst-25567	61	34	,	,	PUNCT
ajst-25567	61	35	which	which	PRON
ajst-25567	61	36	is	be	AUX
ajst-25567	61	37	the	the	DET
ajst-25567	61	38	final	final	ADJ
ajst-25567	61	39	processed	process	VERB
ajst-25567	61	40	signal	signal	NOUN
ajst-25567	61	41	.	.	PUNCT
ajst-25567	62	1	65	65	NUM
ajst-25567	62	2	4	4	NUM
ajst-25567	62	3	.	.	PUNCT
ajst-25567	62	4	simulation	simulation	NOUN
ajst-25567	62	5	data	datum	NOUN
ajst-25567	62	6	analysis	analysis	NOUN
ajst-25567	62	7	a	a	DET
ajst-25567	62	8	forward	forward	ADV
ajst-25567	62	9	modeling	modeling	NOUN
ajst-25567	62	10	approach	approach	NOUN
ajst-25567	62	11	was	be	AUX
ajst-25567	62	12	used	use	VERB
ajst-25567	62	13	as	as	ADP
ajst-25567	62	14	illustrated	illustrate	VERB
ajst-25567	62	15	in	in	ADP
ajst-25567	62	16	figure	figure	NOUN
ajst-25567	62	17	2	2	NUM
ajst-25567	62	18	.	.	PUNCT
ajst-25567	63	1	the	the	DET
ajst-25567	63	2	forward	forward	ADJ
ajst-25567	63	3	record	record	NOUN
ajst-25567	63	4	employed	employ	VERB
ajst-25567	63	5	a	a	DET
ajst-25567	63	6	ricker	ricker	NOUN
ajst-25567	63	7	wavelet	wavelet	NOUN
ajst-25567	63	8	with	with	ADP
ajst-25567	63	9	a	a	DET
ajst-25567	63	10	dominant	dominant	ADJ
ajst-25567	63	11	frequency	frequency	NOUN
ajst-25567	63	12	of	of	ADP
ajst-25567	63	13	60	60	NUM
ajst-25567	63	14	hz	hz	VERB
ajst-25567	63	15	as	as	ADP
ajst-25567	63	16	the	the	DET
ajst-25567	63	17	excitation	excitation	NOUN
ajst-25567	63	18	wavelet	wavelet	NOUN
ajst-25567	63	19	.	.	PUNCT
ajst-25567	64	1	the	the	DET
ajst-25567	64	2	maximum	maximum	ADJ
ajst-25567	64	3	offset	offset	NOUN
ajst-25567	64	4	distance	distance	NOUN
ajst-25567	64	5	for	for	ADP
ajst-25567	64	6	the	the	DET
ajst-25567	64	7	simulation	simulation	NOUN
ajst-25567	64	8	was	be	AUX
ajst-25567	64	9	500	500	NUM
ajst-25567	64	10	meters	meter	NOUN
ajst-25567	64	11	,	,	PUNCT
ajst-25567	64	12	and	and	CCONJ
ajst-25567	64	13	the	the	DET
ajst-25567	64	14	excitation	excitation	NOUN
ajst-25567	64	15	time	time	NOUN
ajst-25567	64	16	was	be	AUX
ajst-25567	64	17	600	600	NUM
ajst-25567	64	18	milliseconds	millisecond	NOUN
ajst-25567	64	19	.	.	PUNCT
ajst-25567	65	1	the	the	DET
ajst-25567	65	2	simulated	simulate	VERB
ajst-25567	65	3	layer	layer	NOUN
ajst-25567	65	4	velocities	velocity	NOUN
ajst-25567	65	5	were	be	AUX
ajst-25567	65	6	set	set	VERB
ajst-25567	65	7	as	as	SCONJ
ajst-25567	65	8	follows	follow	VERB
ajst-25567	65	9	:	:	PUNCT
ajst-25567	65	10	v1=800	v1=800	NUM
ajst-25567	65	11	m/s	m/s	PROPN
ajst-25567	65	12	,	,	PUNCT
ajst-25567	65	13	v2=3000	v2=3000	PROPN
ajst-25567	65	14	m/s	m/s	PROPN
ajst-25567	65	15	,	,	PUNCT
ajst-25567	65	16	v3=6000	v3=6000	PROPN
ajst-25567	65	17	m/s	m/s	PROPN
ajst-25567	65	18	,	,	PUNCT
ajst-25567	65	19	v4=10000	v4=10000	PROPN
ajst-25567	65	20	m/s	m/s	PROPN
ajst-25567	65	21	.	.	PUNCT
ajst-25567	66	1	in	in	ADP
ajst-25567	66	2	figure	figure	NOUN
ajst-25567	66	3	2b	2b	NOUN
ajst-25567	66	4	,	,	PUNCT
ajst-25567	66	5	the	the	DET
ajst-25567	66	6	signals	signal	NOUN
ajst-25567	66	7	from	from	ADP
ajst-25567	66	8	the	the	DET
ajst-25567	66	9	first	first	ADJ
ajst-25567	66	10	layer	layer	NOUN
ajst-25567	66	11	and	and	CCONJ
ajst-25567	66	12	the	the	DET
ajst-25567	66	13	second	second	ADJ
ajst-25567	66	14	reflection	reflection	NOUN
ajst-25567	66	15	wave	wave	NOUN
ajst-25567	66	16	are	be	AUX
ajst-25567	66	17	covered	cover	VERB
ajst-25567	66	18	and	and	CCONJ
ajst-25567	66	19	not	not	PART
ajst-25567	66	20	clearly	clearly	ADV
ajst-25567	66	21	visible	visible	ADJ
ajst-25567	66	22	.	.	PUNCT
ajst-25567	67	1	the	the	DET
ajst-25567	67	2	simulated	simulate	VERB
ajst-25567	67	3	noise	noise	NOUN
ajst-25567	67	4	intensity	intensity	NOUN
ajst-25567	67	5	reflects	reflect	VERB
ajst-25567	67	6	realworld	realworld	PROPN
ajst-25567	67	7	seismic	seismic	ADJ
ajst-25567	67	8	exploration	exploration	NOUN
ajst-25567	67	9	conditions	condition	NOUN
ajst-25567	67	10	.	.	PUNCT
ajst-25567	68	1	a	a	DET
ajst-25567	68	2	simulated	simulate	VERB
ajst-25567	68	3	reflected	reflect	VERB
ajst-25567	68	4	wave	wave	NOUN
ajst-25567	68	5	seismogram	seismogram	PROPN
ajst-25567	68	6	b	b	PROPN
ajst-25567	68	7	simulate	simulate	VERB
ajst-25567	68	8	adding	add	VERB
ajst-25567	68	9	random	random	ADJ
ajst-25567	68	10	noise	noise	NOUN
ajst-25567	68	11	to	to	ADP
ajst-25567	68	12	seismogram	seismogram	PROPN
ajst-25567	68	13	figure	figure	NOUN
ajst-25567	68	14	2	2	NUM
ajst-25567	68	15	.	.	PUNCT
ajst-25567	68	16	simulated	simulate	VERB
ajst-25567	68	17	seismogram	seismogram	PROPN
ajst-25567	68	18	figure	figure	NOUN
ajst-25567	68	19	3	3	NUM
ajst-25567	68	20	shows	show	VERB
ajst-25567	68	21	the	the	DET
ajst-25567	68	22	random	random	ADJ
ajst-25567	68	23	noise	noise	NOUN
ajst-25567	68	24	suppression	suppression	NOUN
ajst-25567	68	25	of	of	ADP
ajst-25567	68	26	simulated	simulate	VERB
ajst-25567	68	27	seismic	seismic	ADJ
ajst-25567	68	28	records	record	NOUN
ajst-25567	68	29	using	use	VERB
ajst-25567	68	30	both	both	CCONJ
ajst-25567	68	31	the	the	DET
ajst-25567	68	32	ceemd	ceemd	NOUN
ajst-25567	68	33	and	and	CCONJ
ajst-25567	68	34	ceemdan	ceemdan	PROPN
ajst-25567	68	35	methods	method	NOUN
ajst-25567	68	36	.	.	PUNCT
ajst-25567	69	1	after	after	ADP
ajst-25567	69	2	processing	process	VERB
ajst-25567	69	3	the	the	DET
ajst-25567	69	4	noisy	noisy	ADJ
ajst-25567	69	5	simulated	simulate	VERB
ajst-25567	69	6	records	record	NOUN
ajst-25567	69	7	with	with	ADP
ajst-25567	69	8	these	these	DET
ajst-25567	69	9	two	two	NUM
ajst-25567	69	10	methods	method	NOUN
ajst-25567	69	11	,	,	PUNCT
ajst-25567	69	12	the	the	DET
ajst-25567	69	13	effective	effective	ADJ
ajst-25567	69	14	signal	signal	NOUN
ajst-25567	69	15	is	be	AUX
ajst-25567	69	16	clearly	clearly	ADV
ajst-25567	69	17	observable	observable	ADJ
ajst-25567	69	18	in	in	ADP
ajst-25567	69	19	both	both	DET
ajst-25567	69	20	cases	case	NOUN
ajst-25567	69	21	,	,	PUNCT
ajst-25567	69	22	with	with	ADP
ajst-25567	69	23	both	both	DET
ajst-25567	69	24	methods	method	NOUN
ajst-25567	69	25	achieving	achieve	VERB
ajst-25567	69	26	a	a	DET
ajst-25567	69	27	certain	certain	ADJ
ajst-25567	69	28	degree	degree	NOUN
ajst-25567	69	29	of	of	ADP
ajst-25567	69	30	random	random	ADJ
ajst-25567	69	31	noise	noise	NOUN
ajst-25567	69	32	suppression	suppression	NOUN
ajst-25567	69	33	.	.	PUNCT
ajst-25567	70	1	table	table	NOUN
ajst-25567	70	2	1	1	NUM
ajst-25567	70	3	presents	present	VERB
ajst-25567	70	4	the	the	DET
ajst-25567	70	5	signal	signal	NOUN
ajst-25567	70	6	-	-	PUNCT
ajst-25567	70	7	tonoise	tonoise	NOUN
ajst-25567	70	8	ratio	ratio	NOUN
ajst-25567	70	9	and	and	CCONJ
ajst-25567	70	10	runtime	runtime	NOUN
ajst-25567	70	11	for	for	ADP
ajst-25567	70	12	the	the	DET
ajst-25567	70	13	results	result	NOUN
ajst-25567	70	14	obtained	obtain	VERB
ajst-25567	70	15	from	from	ADP
ajst-25567	70	16	each	each	DET
ajst-25567	70	17	method	method	NOUN
ajst-25567	70	18	,	,	PUNCT
ajst-25567	70	19	allowing	allow	VERB
ajst-25567	70	20	for	for	ADP
ajst-25567	70	21	a	a	DET
ajst-25567	70	22	direct	direct	ADJ
ajst-25567	70	23	comparison	comparison	NOUN
ajst-25567	70	24	.	.	PUNCT
ajst-25567	71	1	it	it	PRON
ajst-25567	71	2	is	be	AUX
ajst-25567	71	3	evident	evident	ADJ
ajst-25567	71	4	that	that	SCONJ
ajst-25567	71	5	ceemdan	ceemdan	PROPN
ajst-25567	71	6	performs	perform	VERB
ajst-25567	71	7	better	well	ADV
ajst-25567	71	8	than	than	ADP
ajst-25567	71	9	ceemd	ceemd	NOUN
ajst-25567	71	10	in	in	ADP
ajst-25567	71	11	terms	term	NOUN
ajst-25567	71	12	of	of	ADP
ajst-25567	71	13	both	both	DET
ajst-25567	71	14	processing	processing	NOUN
ajst-25567	71	15	effectiveness	effectiveness	NOUN
ajst-25567	71	16	and	and	CCONJ
ajst-25567	71	17	speed	speed	NOUN
ajst-25567	71	18	.	.	PUNCT
ajst-25567	72	1	ceemd	ceemd	PROPN
ajst-25567	72	2	processing	processing	NOUN
ajst-25567	72	3	resulted	result	VERB
ajst-25567	72	4	in	in	ADP
ajst-25567	72	5	partial	partial	ADJ
ajst-25567	72	6	loss	loss	NOUN
ajst-25567	72	7	of	of	ADP
ajst-25567	72	8	the	the	DET
ajst-25567	72	9	effective	effective	ADJ
ajst-25567	72	10	signal	signal	NOUN
ajst-25567	72	11	when	when	SCONJ
ajst-25567	72	12	it	it	PRON
ajst-25567	72	13	was	be	AUX
ajst-25567	72	14	covered	cover	VERB
ajst-25567	72	15	by	by	ADP
ajst-25567	72	16	random	random	ADJ
ajst-25567	72	17	noise	noise	NOUN
ajst-25567	72	18	(	(	PUNCT
ajst-25567	72	19	as	as	SCONJ
ajst-25567	72	20	shown	show	VERB
ajst-25567	72	21	in	in	ADP
ajst-25567	72	22	the	the	DET
ajst-25567	72	23	red	red	PROPN
ajst-25567	72	24	box	box	PROPN
ajst-25567	72	25	in	in	ADP
ajst-25567	72	26	figure	figure	NOUN
ajst-25567	72	27	3a	3a	NUM
ajst-25567	72	28	)	)	PUNCT
ajst-25567	72	29	,	,	PUNCT
ajst-25567	72	30	whereas	whereas	SCONJ
ajst-25567	72	31	the	the	DET
ajst-25567	72	32	effective	effective	ADJ
ajst-25567	72	33	signal	signal	NOUN
ajst-25567	72	34	after	after	SCONJ
ajst-25567	72	35	ceemdan	ceemdan	ADJ
ajst-25567	72	36	processing	processing	NOUN
ajst-25567	72	37	showed	show	VERB
ajst-25567	72	38	no	no	DET
ajst-25567	72	39	significant	significant	ADJ
ajst-25567	72	40	loss	loss	NOUN
ajst-25567	72	41	.	.	PUNCT
ajst-25567	73	1	ceemd	ceemd	PROPN
ajst-25567	73	2	's	's	PART
ajst-25567	73	3	denoising	denoising	NOUN
ajst-25567	73	4	results	result	NOUN
ajst-25567	73	5	left	leave	VERB
ajst-25567	73	6	more	more	ADV
ajst-25567	73	7	residual	residual	ADJ
ajst-25567	73	8	random	random	ADJ
ajst-25567	73	9	noise	noise	NOUN
ajst-25567	73	10	,	,	PUNCT
ajst-25567	73	11	with	with	ADP
ajst-25567	73	12	noticeable	noticeable	ADJ
ajst-25567	73	13	interference	interference	NOUN
ajst-25567	73	14	remaining	remain	VERB
ajst-25567	73	15	,	,	PUNCT
ajst-25567	73	16	while	while	SCONJ
ajst-25567	73	17	ceemdan	ceemdan	PROPN
ajst-25567	73	18	's	's	PART
ajst-25567	73	19	denoising	denoising	NOUN
ajst-25567	73	20	results	result	NOUN
ajst-25567	73	21	had	have	VERB
ajst-25567	73	22	less	less	ADJ
ajst-25567	73	23	residual	residual	ADJ
ajst-25567	73	24	random	random	ADJ
ajst-25567	73	25	noise	noise	NOUN
ajst-25567	73	26	,	,	PUNCT
ajst-25567	73	27	resulting	result	VERB
ajst-25567	73	28	in	in	ADP
ajst-25567	73	29	less	less	ADJ
ajst-25567	73	30	interference	interference	NOUN
ajst-25567	73	31	with	with	ADP
ajst-25567	73	32	the	the	DET
ajst-25567	73	33	effective	effective	ADJ
ajst-25567	73	34	signal	signal	NOUN
ajst-25567	73	35	and	and	CCONJ
ajst-25567	73	36	a	a	DET
ajst-25567	73	37	situation	situation	NOUN
ajst-25567	73	38	closer	close	ADV
ajst-25567	73	39	to	to	ADP
ajst-25567	73	40	one	one	NUM
ajst-25567	73	41	without	without	ADP
ajst-25567	73	42	random	random	ADJ
ajst-25567	73	43	noise	noise	NOUN
ajst-25567	73	44	.	.	PUNCT
ajst-25567	74	1	a	a	DET
ajst-25567	74	2	ceemd	ceemd	NOUN
ajst-25567	74	3	signal	signal	PROPN
ajst-25567	74	4	processing	processing	PROPN
ajst-25567	74	5	b	b	PROPN
ajst-25567	74	6	ceemdan	ceemdan	PROPN
ajst-25567	74	7	signal	signal	NOUN
ajst-25567	74	8	processing	processing	NOUN
ajst-25567	74	9	figure	figure	NOUN
ajst-25567	74	10	3	3	NUM
ajst-25567	74	11	.	.	PUNCT
ajst-25567	74	12	analog	analog	PROPN
ajst-25567	74	13	signal	signal	NOUN
ajst-25567	74	14	after	after	ADP
ajst-25567	74	15	processing	processing	NOUN
ajst-25567	74	16	table	table	NOUN
ajst-25567	74	17	1	1	NUM
ajst-25567	74	18	.	.	PUNCT
ajst-25567	75	1	the	the	DET
ajst-25567	75	2	two	two	NUM
ajst-25567	75	3	denoising	denoise	VERB
ajst-25567	75	4	methods	method	NOUN
ajst-25567	75	5	correspond	correspond	VERB
ajst-25567	75	6	to	to	PART
ajst-25567	75	7	signal	signal	VERB
ajst-25567	75	8	-	-	PUNCT
ajst-25567	75	9	to	to	ADP
ajst-25567	75	10	-	-	PUNCT
ajst-25567	75	11	noise	noise	NOUN
ajst-25567	75	12	ratio	ratio	NOUN
ajst-25567	75	13	denoising	denoising	NOUN
ajst-25567	75	14	method	method	NOUN
ajst-25567	75	15	snr	snr	PROPN
ajst-25567	75	16	denoising	denoising	NOUN
ajst-25567	75	17	time	time	NOUN
ajst-25567	75	18	/	/	SYM
ajst-25567	75	19	s	s	PART
ajst-25567	75	20	ceemd	ceemd	NOUN
ajst-25567	75	21	15.72	15.72	NUM
ajst-25567	75	22	5.56	5.56	NUM
ajst-25567	75	23	ceemdan	ceemdan	PROPN
ajst-25567	75	24	23.47	23.47	NUM
ajst-25567	75	25	2.14	2.14	NUM
ajst-25567	75	26	5	5	NUM
ajst-25567	75	27	.	.	PUNCT
ajst-25567	76	1	analysis	analysis	NOUN
ajst-25567	76	2	of	of	ADP
ajst-25567	76	3	actual	actual	ADJ
ajst-25567	76	4	data	datum	NOUN
ajst-25567	76	5	to	to	PART
ajst-25567	76	6	validate	validate	VERB
ajst-25567	76	7	the	the	DET
ajst-25567	76	8	practical	practical	ADJ
ajst-25567	76	9	effectiveness	effectiveness	NOUN
ajst-25567	76	10	of	of	ADP
ajst-25567	76	11	the	the	DET
ajst-25567	76	12	two	two	NUM
ajst-25567	76	13	methods	method	NOUN
ajst-25567	76	14	,	,	PUNCT
ajst-25567	76	15	both	both	PRON
ajst-25567	76	16	were	be	AUX
ajst-25567	76	17	applied	apply	VERB
ajst-25567	76	18	to	to	ADP
ajst-25567	76	19	actual	actual	ADJ
ajst-25567	76	20	seismic	seismic	ADJ
ajst-25567	76	21	data	datum	NOUN
ajst-25567	76	22	(	(	PUNCT
ajst-25567	76	23	figure	figure	NOUN
ajst-25567	76	24	4	4	NUM
ajst-25567	76	25	)	)	PUNCT
ajst-25567	76	26	.	.	PUNCT
ajst-25567	77	1	the	the	DET
ajst-25567	77	2	single	single	ADJ
ajst-25567	77	3	-	-	PUNCT
ajst-25567	77	4	shot	shot	NOUN
ajst-25567	77	5	record	record	NOUN
ajst-25567	77	6	before	before	ADP
ajst-25567	77	7	denoising	denoising	NOUN
ajst-25567	77	8	was	be	AUX
ajst-25567	77	9	preprocessed	preprocesse	VERB
ajst-25567	77	10	to	to	PART
ajst-25567	77	11	remove	remove	VERB
ajst-25567	77	12	linear	linear	ADJ
ajst-25567	77	13	interference	interference	NOUN
ajst-25567	77	14	from	from	ADP
ajst-25567	77	15	surface	surface	NOUN
ajst-25567	77	16	waves	wave	NOUN
ajst-25567	77	17	,	,	PUNCT
ajst-25567	77	18	but	but	CCONJ
ajst-25567	77	19	it	it	PRON
ajst-25567	77	20	still	still	ADV
ajst-25567	77	21	contains	contain	VERB
ajst-25567	77	22	significant	significant	ADJ
ajst-25567	77	23	random	random	ADJ
ajst-25567	77	24	noise	noise	NOUN
ajst-25567	77	25	in	in	ADP
ajst-25567	77	26	the	the	DET
ajst-25567	77	27	reflected	reflect	VERB
ajst-25567	77	28	waves	wave	NOUN
ajst-25567	77	29	(	(	PUNCT
ajst-25567	77	30	figure	figure	NOUN
ajst-25567	77	31	4a	4a	NUM
ajst-25567	77	32	)	)	PUNCT
ajst-25567	77	33	.	.	PUNCT
ajst-25567	78	1	in	in	ADP
ajst-25567	78	2	the	the	DET
ajst-25567	78	3	red	red	ADJ
ajst-25567	78	4	boxed	box	VERB
ajst-25567	78	5	area	area	NOUN
ajst-25567	78	6	,	,	PUNCT
ajst-25567	78	7	the	the	DET
ajst-25567	78	8	effective	effective	ADJ
ajst-25567	78	9	wave	wave	NOUN
ajst-25567	78	10	energy	energy	NOUN
ajst-25567	78	11	is	be	AUX
ajst-25567	78	12	weak	weak	ADJ
ajst-25567	78	13	,	,	PUNCT
ajst-25567	78	14	and	and	CCONJ
ajst-25567	78	15	random	random	ADJ
ajst-25567	78	16	interference	interference	NOUN
ajst-25567	78	17	has	have	AUX
ajst-25567	78	18	had	have	VERB
ajst-25567	78	19	a	a	DET
ajst-25567	78	20	considerable	considerable	ADJ
ajst-25567	78	21	impact	impact	NOUN
ajst-25567	78	22	.	.	PUNCT
ajst-25567	79	1	after	after	ADP
ajst-25567	79	2	processing	process	VERB
ajst-25567	79	3	with	with	ADP
ajst-25567	79	4	ceemd	ceemd	NOUN
ajst-25567	79	5	(	(	PUNCT
ajst-25567	79	6	figure	figure	VERB
ajst-25567	79	7	4b	4b	PROPN
ajst-25567	79	8	)	)	PUNCT
ajst-25567	79	9	and	and	CCONJ
ajst-25567	79	10	ceemdan	ceemdan	PROPN
ajst-25567	79	11	(	(	PUNCT
ajst-25567	79	12	figure	figure	NOUN
ajst-25567	79	13	4c	4c	NOUN
ajst-25567	79	14	)	)	PUNCT
ajst-25567	79	15	,	,	PUNCT
ajst-25567	79	16	the	the	DET
ajst-25567	79	17	random	random	ADJ
ajst-25567	79	18	noise	noise	NOUN
ajst-25567	79	19	is	be	AUX
ajst-25567	79	20	suppressed	suppress	VERB
ajst-25567	79	21	in	in	ADP
ajst-25567	79	22	both	both	DET
ajst-25567	79	23	cases	case	NOUN
ajst-25567	79	24	,	,	PUNCT
ajst-25567	79	25	with	with	ADP
ajst-25567	79	26	the	the	DET
ajst-25567	79	27	effective	effective	ADJ
ajst-25567	79	28	waves	wave	NOUN
ajst-25567	79	29	becoming	become	VERB
ajst-25567	79	30	clearer	clear	ADJ
ajst-25567	79	31	.	.	PUNCT
ajst-25567	80	1	the	the	DET
ajst-25567	80	2	yellow	yellow	ADJ
ajst-25567	80	3	boxed	box	VERB
ajst-25567	80	4	area	area	NOUN
ajst-25567	80	5	shows	show	VERB
ajst-25567	80	6	that	that	SCONJ
ajst-25567	80	7	ceemd	ceemd	PROPN
ajst-25567	80	8	causes	cause	VERB
ajst-25567	80	9	slight	slight	ADJ
ajst-25567	80	10	loss	loss	NOUN
ajst-25567	80	11	in	in	ADP
ajst-25567	80	12	the	the	DET
ajst-25567	80	13	restoration	restoration	NOUN
ajst-25567	80	14	of	of	ADP
ajst-25567	80	15	the	the	DET
ajst-25567	80	16	effective	effective	ADJ
ajst-25567	80	17	signal	signal	NOUN
ajst-25567	80	18	,	,	PUNCT
ajst-25567	80	19	which	which	PRON
ajst-25567	80	20	can	can	AUX
ajst-25567	80	21	affect	affect	VERB
ajst-25567	80	22	subsequent	subsequent	ADJ
ajst-25567	80	23	processing	processing	NOUN
ajst-25567	80	24	results	result	NOUN
ajst-25567	80	25	,	,	PUNCT
ajst-25567	80	26	although	although	SCONJ
ajst-25567	80	27	its	its	PRON
ajst-25567	80	28	noise	noise	NOUN
ajst-25567	80	29	suppression	suppression	NOUN
ajst-25567	80	30	is	be	AUX
ajst-25567	80	31	still	still	ADV
ajst-25567	80	32	quite	quite	ADV
ajst-25567	80	33	evident	evident	ADJ
ajst-25567	80	34	.	.	PUNCT
ajst-25567	81	1	ceemdan	ceemdan	PROPN
ajst-25567	81	2	,	,	PUNCT
ajst-25567	81	3	with	with	ADP
ajst-25567	81	4	its	its	PRON
ajst-25567	81	5	better	well	ADJ
ajst-25567	81	6	preservation	preservation	NOUN
ajst-25567	81	7	of	of	ADP
ajst-25567	81	8	the	the	DET
ajst-25567	81	9	effective	effective	ADJ
ajst-25567	81	10	signal	signal	NOUN
ajst-25567	81	11	,	,	PUNCT
ajst-25567	81	12	makes	make	VERB
ajst-25567	81	13	the	the	DET
ajst-25567	81	14	effective	effective	ADJ
ajst-25567	81	15	waves	wave	NOUN
ajst-25567	81	16	more	more	ADV
ajst-25567	81	17	pronounced	pronounce	VERB
ajst-25567	81	18	after	after	ADP
ajst-25567	81	19	suppressing	suppress	VERB
ajst-25567	81	20	the	the	DET
ajst-25567	81	21	random	random	ADJ
ajst-25567	81	22	noise	noise	NOUN
ajst-25567	81	23	.	.	PUNCT
ajst-25567	82	1	66	66	NUM
ajst-25567	82	2	a	a	DET
ajst-25567	82	3	single	single	ADJ
ajst-25567	82	4	shot	shot	NOUN
ajst-25567	82	5	recording	recording	NOUN
ajst-25567	82	6	before	before	ADP
ajst-25567	82	7	denoising	denoising	PROPN
ajst-25567	82	8	b	b	PROPN
ajst-25567	82	9	ceemd	ceemd	ADJ
ajst-25567	82	10	single	single	ADJ
ajst-25567	82	11	shot	shot	NOUN
ajst-25567	82	12	record	record	NOUN
ajst-25567	82	13	after	after	ADP
ajst-25567	82	14	noise	noise	NOUN
ajst-25567	82	15	removal	removal	NOUN
ajst-25567	82	16	c	c	PROPN
ajst-25567	82	17	ceemdan	ceemdan	PROPN
ajst-25567	82	18	single	single	ADJ
ajst-25567	82	19	shot	shot	NOUN
ajst-25567	82	20	record	record	NOUN
ajst-25567	82	21	after	after	ADP
ajst-25567	82	22	noise	noise	NOUN
ajst-25567	82	23	removal	removal	NOUN
ajst-25567	82	24	figure	figure	NOUN
ajst-25567	82	25	4	4	NUM
ajst-25567	82	26	.	.	NOUN
ajst-25567	82	27	comparison	comparison	NOUN
ajst-25567	82	28	of	of	ADP
ajst-25567	82	29	single	single	ADJ
ajst-25567	82	30	shot	shot	NOUN
ajst-25567	82	31	record	record	NOUN
ajst-25567	82	32	before	before	ADV
ajst-25567	82	33	and	and	CCONJ
ajst-25567	82	34	after	after	ADP
ajst-25567	82	35	denoising	denoise	VERB
ajst-25567	82	36	to	to	PART
ajst-25567	82	37	demonstrate	demonstrate	VERB
ajst-25567	82	38	the	the	DET
ajst-25567	82	39	practical	practical	ADJ
ajst-25567	82	40	processing	processing	NOUN
ajst-25567	82	41	effects	effect	NOUN
ajst-25567	82	42	,	,	PUNCT
ajst-25567	82	43	the	the	DET
ajst-25567	82	44	recorded	record	VERB
ajst-25567	82	45	data	datum	NOUN
ajst-25567	82	46	were	be	AUX
ajst-25567	82	47	processed	process	VERB
ajst-25567	82	48	using	use	VERB
ajst-25567	82	49	a	a	DET
ajst-25567	82	50	uniform	uniform	ADJ
ajst-25567	82	51	workflow	workflow	NOUN
ajst-25567	82	52	to	to	PART
ajst-25567	82	53	generate	generate	VERB
ajst-25567	82	54	stacked	stacked	ADJ
ajst-25567	82	55	profiles	profile	NOUN
ajst-25567	82	56	(	(	PUNCT
ajst-25567	82	57	figure	figure	NOUN
ajst-25567	82	58	5	5	NUM
ajst-25567	82	59	)	)	PUNCT
ajst-25567	82	60	.	.	PUNCT
ajst-25567	83	1	the	the	DET
ajst-25567	83	2	pre	pre	ADJ
ajst-25567	83	3	-	-	ADJ
ajst-25567	83	4	processing	processing	ADJ
ajst-25567	83	5	stacked	stack	VERB
ajst-25567	83	6	profile	profile	NOUN
ajst-25567	83	7	(	(	PUNCT
ajst-25567	83	8	figure	figure	NOUN
ajst-25567	83	9	5a	5a	NUM
ajst-25567	83	10	)	)	PUNCT
ajst-25567	83	11	is	be	AUX
ajst-25567	83	12	characterized	characterize	VERB
ajst-25567	83	13	by	by	ADP
ajst-25567	83	14	incomplete	incomplete	ADJ
ajst-25567	83	15	continuity	continuity	NOUN
ajst-25567	83	16	of	of	ADP
ajst-25567	83	17	the	the	DET
ajst-25567	83	18	phase	phase	NOUN
ajst-25567	83	19	axes	axis	NOUN
ajst-25567	83	20	,	,	PUNCT
ajst-25567	83	21	with	with	ADP
ajst-25567	83	22	only	only	ADV
ajst-25567	83	23	some	some	DET
ajst-25567	83	24	strong	strong	ADJ
ajst-25567	83	25	energy	energy	NOUN
ajst-25567	83	26	effective	effective	ADJ
ajst-25567	83	27	waves	wave	NOUN
ajst-25567	83	28	forming	form	VERB
ajst-25567	83	29	continuous	continuous	ADJ
ajst-25567	83	30	phase	phase	NOUN
ajst-25567	83	31	axes	axis	NOUN
ajst-25567	83	32	,	,	PUNCT
ajst-25567	83	33	while	while	SCONJ
ajst-25567	83	34	most	most	ADJ
ajst-25567	83	35	phase	phase	NOUN
ajst-25567	83	36	axes	axis	NOUN
ajst-25567	83	37	appear	appear	VERB
ajst-25567	83	38	discontinuous	discontinuous	ADJ
ajst-25567	83	39	,	,	PUNCT
ajst-25567	83	40	and	and	CCONJ
ajst-25567	83	41	complete	complete	ADJ
ajst-25567	83	42	phase	phase	NOUN
ajst-25567	83	43	axes	axis	NOUN
ajst-25567	83	44	can	can	AUX
ajst-25567	83	45	not	not	PART
ajst-25567	83	46	be	be	AUX
ajst-25567	83	47	imaged	image	VERB
ajst-25567	83	48	on	on	ADP
ajst-25567	83	49	either	either	DET
ajst-25567	83	50	side	side	NOUN
ajst-25567	83	51	.	.	PUNCT
ajst-25567	84	1	after	after	ADP
ajst-25567	84	2	denoising	denoise	VERB
ajst-25567	84	3	with	with	ADP
ajst-25567	84	4	ceemd	ceemd	NOUN
ajst-25567	84	5	,	,	PUNCT
ajst-25567	84	6	the	the	DET
ajst-25567	84	7	stacked	stacked	ADJ
ajst-25567	84	8	profile	profile	NOUN
ajst-25567	84	9	(	(	PUNCT
ajst-25567	84	10	figure	figure	NOUN
ajst-25567	84	11	5b	5b	NUM
ajst-25567	84	12	)	)	PUNCT
ajst-25567	84	13	shows	show	VERB
ajst-25567	84	14	improved	improved	ADJ
ajst-25567	84	15	continuity	continuity	NOUN
ajst-25567	84	16	of	of	ADP
ajst-25567	84	17	the	the	DET
ajst-25567	84	18	phase	phase	NOUN
ajst-25567	84	19	axes	axis	NOUN
ajst-25567	84	20	,	,	PUNCT
ajst-25567	84	21	though	though	SCONJ
ajst-25567	84	22	the	the	DET
ajst-25567	84	23	improvement	improvement	NOUN
ajst-25567	84	24	is	be	AUX
ajst-25567	84	25	not	not	PART
ajst-25567	84	26	substantial	substantial	ADJ
ajst-25567	84	27	.	.	PUNCT
ajst-25567	85	1	after	after	ADP
ajst-25567	85	2	denoising	denoise	VERB
ajst-25567	85	3	with	with	ADP
ajst-25567	85	4	ceemdan	ceemdan	PROPN
ajst-25567	85	5	,	,	PUNCT
ajst-25567	85	6	the	the	DET
ajst-25567	85	7	stacked	stacked	ADJ
ajst-25567	85	8	profile	profile	NOUN
ajst-25567	85	9	(	(	PUNCT
ajst-25567	85	10	figure	figure	NOUN
ajst-25567	85	11	5c	5c	NUM
ajst-25567	85	12	)	)	PUNCT
ajst-25567	85	13	shows	show	VERB
ajst-25567	85	14	enhanced	enhance	VERB
ajst-25567	85	15	clarity	clarity	NOUN
ajst-25567	85	16	,	,	PUNCT
ajst-25567	85	17	with	with	ADP
ajst-25567	85	18	some	some	DET
ajst-25567	85	19	layers	layer	NOUN
ajst-25567	85	20	becoming	become	VERB
ajst-25567	85	21	visible	visible	ADJ
ajst-25567	85	22	.	.	PUNCT
ajst-25567	86	1	overall	overall	ADV
ajst-25567	86	2	,	,	PUNCT
ajst-25567	86	3	the	the	DET
ajst-25567	86	4	continuity	continuity	NOUN
ajst-25567	86	5	of	of	ADP
ajst-25567	86	6	the	the	DET
ajst-25567	86	7	phase	phase	NOUN
ajst-25567	86	8	axes	axis	NOUN
ajst-25567	86	9	is	be	AUX
ajst-25567	86	10	better	well	ADJ
ajst-25567	86	11	compared	compare	VERB
ajst-25567	86	12	to	to	ADP
ajst-25567	86	13	the	the	DET
ajst-25567	86	14	ceemd	ceemd	NOUN
ajst-25567	86	15	processing	processing	NOUN
ajst-25567	86	16	results	result	NOUN
ajst-25567	86	17	.	.	PUNCT
ajst-25567	87	1	a	a	DET
ajst-25567	87	2	overlay	overlay	NOUN
ajst-25567	87	3	section	section	NOUN
ajst-25567	87	4	before	before	ADP
ajst-25567	87	5	denoising	denoising	PROPN
ajst-25567	87	6	b	b	PROPN
ajst-25567	87	7	ceemd	ceemd	PROPN
ajst-25567	87	8	stack	stack	NOUN
ajst-25567	87	9	profile	profile	NOUN
ajst-25567	87	10	after	after	ADP
ajst-25567	87	11	denoising	denoise	VERB
ajst-25567	87	12	c	c	PROPN
ajst-25567	87	13	ceemdan	ceemdan	PROPN
ajst-25567	87	14	stack	stack	NOUN
ajst-25567	87	15	profile	profile	NOUN
ajst-25567	87	16	after	after	ADP
ajst-25567	87	17	de	de	NOUN
ajst-25567	87	18	-	-	ADJ
ajst-25567	87	19	noising	noising	ADJ
ajst-25567	87	20	figure	figure	NOUN
ajst-25567	87	21	5	5	NUM
ajst-25567	87	22	.	.	PUNCT
ajst-25567	88	1	stack	stack	NOUN
ajst-25567	88	2	section	section	NOUN
ajst-25567	88	3	comparison	comparison	NOUN
ajst-25567	88	4	before	before	ADP
ajst-25567	88	5	and	and	CCONJ
ajst-25567	88	6	after	after	ADP
ajst-25567	88	7	denoising	denoise	VERB
ajst-25567	88	8	6	6	NUM
ajst-25567	88	9	.	.	PUNCT
ajst-25567	89	1	conclusion	conclusion	NOUN
ajst-25567	89	2	(	(	PUNCT
ajst-25567	89	3	1	1	NUM
ajst-25567	89	4	)	)	PUNCT
ajst-25567	89	5	based	base	VERB
ajst-25567	89	6	on	on	ADP
ajst-25567	89	7	theoretical	theoretical	ADJ
ajst-25567	89	8	and	and	CCONJ
ajst-25567	89	9	practical	practical	ADJ
ajst-25567	89	10	analyses	analysis	NOUN
ajst-25567	89	11	,	,	PUNCT
ajst-25567	89	12	the	the	DET
ajst-25567	89	13	ceemdan	ceemdan	PROPN
ajst-25567	89	14	method	method	NOUN
ajst-25567	89	15	is	be	AUX
ajst-25567	89	16	superior	superior	ADJ
ajst-25567	89	17	to	to	PART
ajst-25567	89	18	ceemd	ceemd	VERB
ajst-25567	89	19	for	for	ADP
ajst-25567	89	20	suppressing	suppress	VERB
ajst-25567	89	21	random	random	ADJ
ajst-25567	89	22	noise	noise	NOUN
ajst-25567	89	23	in	in	ADP
ajst-25567	89	24	seismic	seismic	ADJ
ajst-25567	89	25	data	datum	NOUN
ajst-25567	89	26	.	.	PUNCT
ajst-25567	90	1	the	the	DET
ajst-25567	90	2	results	result	NOUN
ajst-25567	90	3	obtained	obtain	VERB
ajst-25567	90	4	using	use	VERB
ajst-25567	90	5	ceemdan	ceemdan	PROPN
ajst-25567	90	6	show	show	VERB
ajst-25567	90	7	a	a	DET
ajst-25567	90	8	higher	high	ADJ
ajst-25567	90	9	signal	signal	NOUN
ajst-25567	90	10	-	-	PUNCT
ajst-25567	90	11	to	to	ADP
ajst-25567	90	12	-	-	PUNCT
ajst-25567	90	13	noise	noise	NOUN
ajst-25567	90	14	ratio	ratio	NOUN
ajst-25567	90	15	.	.	PUNCT
ajst-25567	91	1	(	(	PUNCT
ajst-25567	91	2	2	2	NUM
ajst-25567	91	3	)	)	PUNCT
ajst-25567	91	4	from	from	ADP
ajst-25567	91	5	an	an	DET
ajst-25567	91	6	algorithmic	algorithmic	ADJ
ajst-25567	91	7	perspective	perspective	NOUN
ajst-25567	91	8	,	,	PUNCT
ajst-25567	91	9	the	the	DET
ajst-25567	91	10	ceemd	ceemd	NOUN
ajst-25567	91	11	method	method	NOUN
ajst-25567	91	12	operates	operate	VERB
ajst-25567	91	13	with	with	ADP
ajst-25567	91	14	more	more	ADV
ajst-25567	91	15	independent	independent	ADJ
ajst-25567	91	16	steps	step	NOUN
ajst-25567	91	17	compared	compare	VERB
ajst-25567	91	18	to	to	ADP
ajst-25567	91	19	ceemdan	ceemdan	PROPN
ajst-25567	91	20	,	,	PUNCT
ajst-25567	91	21	which	which	PRON
ajst-25567	91	22	frequently	frequently	ADV
ajst-25567	91	23	averages	average	VERB
ajst-25567	91	24	values	value	NOUN
ajst-25567	91	25	.	.	PUNCT
ajst-25567	92	1	therefore	therefore	ADV
ajst-25567	92	2	,	,	PUNCT
ajst-25567	92	3	ceemd	ceemd	PROPN
ajst-25567	92	4	has	have	VERB
ajst-25567	92	5	more	more	ADJ
ajst-25567	92	6	potential	potential	NOUN
ajst-25567	92	7	for	for	ADP
ajst-25567	92	8	improvement	improvement	NOUN
ajst-25567	92	9	when	when	SCONJ
ajst-25567	92	10	combined	combine	VERB
ajst-25567	92	11	with	with	ADP
ajst-25567	92	12	other	other	ADJ
ajst-25567	92	13	methods	method	NOUN
ajst-25567	92	14	.	.	PUNCT
ajst-25567	93	1	(	(	PUNCT
ajst-25567	93	2	3	3	X
ajst-25567	93	3	)	)	PUNCT
ajst-25567	93	4	in	in	ADP
ajst-25567	93	5	terms	term	NOUN
ajst-25567	93	6	of	of	ADP
ajst-25567	93	7	runtime	runtime	NOUN
ajst-25567	93	8	,	,	PUNCT
ajst-25567	93	9	although	although	SCONJ
ajst-25567	93	10	ceemdan	ceemdan	PROPN
ajst-25567	93	11	has	have	VERB
ajst-25567	93	12	a	a	DET
ajst-25567	93	13	significant	significant	ADJ
ajst-25567	93	14	advantage	advantage	NOUN
ajst-25567	93	15	over	over	ADP
ajst-25567	93	16	ceemd	ceemd	PROPN
ajst-25567	93	17	,	,	PUNCT
ajst-25567	93	18	it	it	PRON
ajst-25567	93	19	is	be	AUX
ajst-25567	93	20	not	not	PART
ajst-25567	93	21	as	as	ADV
ajst-25567	93	22	advantageous	advantageous	ADJ
ajst-25567	93	23	when	when	SCONJ
ajst-25567	93	24	applied	apply	VERB
ajst-25567	93	25	to	to	ADP
ajst-25567	93	26	large	large	ADJ
ajst-25567	93	27	datasets	dataset	NOUN
ajst-25567	93	28	in	in	ADP
ajst-25567	93	29	practical	practical	ADJ
ajst-25567	93	30	scenarios	scenario	NOUN
ajst-25567	93	31	.	.	PUNCT
ajst-25567	94	1	both	both	PRON
ajst-25567	94	2	ceemd	ceemd	PROPN
ajst-25567	94	3	and	and	CCONJ
ajst-25567	94	4	ceemdan	ceemdan	PROPN
ajst-25567	94	5	require	require	VERB
ajst-25567	94	6	multiple	multiple	ADJ
ajst-25567	94	7	iterations	iteration	NOUN
ajst-25567	94	8	during	during	ADP
ajst-25567	94	9	computation	computation	NOUN
ajst-25567	94	10	,	,	PUNCT
ajst-25567	94	11	and	and	CCONJ
ajst-25567	94	12	further	further	ADJ
ajst-25567	94	13	improvements	improvement	NOUN
ajst-25567	94	14	are	be	AUX
ajst-25567	94	15	needed	need	VERB
ajst-25567	94	16	for	for	ADP
ajst-25567	94	17	their	their	PRON
ajst-25567	94	18	application	application	NOUN
ajst-25567	94	19	in	in	ADP
ajst-25567	94	20	processing	process	VERB
ajst-25567	94	21	random	random	ADJ
ajst-25567	94	22	noise	noise	NOUN
ajst-25567	94	23	in	in	ADP
ajst-25567	94	24	seismic	seismic	ADJ
ajst-25567	94	25	data	datum	NOUN
ajst-25567	94	26	.	.	PUNCT
ajst-25567	95	1	references	reference	NOUN
ajst-25567	95	2	[	[	X
ajst-25567	95	3	1	1	X
ajst-25567	95	4	]	]	X
ajst-25567	95	5	huang	huang	PROPN
ajst-25567	95	6	n	n	PROPN
ajst-25567	95	7	e	e	PROPN
ajst-25567	95	8	,	,	PUNCT
ajst-25567	95	9	shen	shen	PROPN
ajst-25567	96	1	z	z	X
ajst-25567	96	2	,	,	PUNCT
ajst-25567	96	3	long	long	PROPN
ajst-25567	96	4	s	s	PART
ajst-25567	96	5	r	r	NOUN
ajst-25567	96	6	,	,	PUNCT
ajst-25567	96	7	et	et	PROPN
ajst-25567	96	8	al	al	PROPN
ajst-25567	96	9	.	.	PUNCT
ajst-25567	97	1	the	the	DET
ajst-25567	97	2	empirical	empirical	ADJ
ajst-25567	97	3	mode	mode	NOUN
ajst-25567	97	4	decomposition	decomposition	NOUN
ajst-25567	97	5	and	and	CCONJ
ajst-25567	97	6	the	the	DET
ajst-25567	97	7	hilbert	hilbert	NOUN
ajst-25567	97	8	spectrum	spectrum	NOUN
ajst-25567	97	9	for	for	ADP
ajst-25567	97	10	nonlinear	nonlinear	ADJ
ajst-25567	97	11	and	and	CCONJ
ajst-25567	97	12	non	non	ADJ
ajst-25567	97	13	stationary	stationary	ADJ
ajst-25567	97	14	time	time	NOUN
ajst-25567	97	15	series	series	PROPN
ajst-25567	97	16	analysis	analysis	NOUN
ajst-25567	97	17	[	[	X
ajst-25567	97	18	j	j	X
ajst-25567	97	19	]	]	X
ajst-25567	97	20	.	.	PUNCT
ajst-25567	98	1	proceedings	proceeding	NOUN
ajst-25567	98	2	of	of	ADP
ajst-25567	98	3	the	the	DET
ajst-25567	98	4	royal	royal	ADJ
ajst-25567	98	5	society	society	NOUN
ajst-25567	98	6	a	a	PRON
ajst-25567	98	7	,	,	PUNCT
ajst-25567	98	8	1998	1998	NUM
ajst-25567	98	9	,	,	PUNCT
ajst-25567	98	10	454(1971	454(1971	NUM
ajst-25567	98	11	):	):	PUNCT
ajst-25567	98	12	903	903	NUM
ajst-25567	98	13	-	-	SYM
ajst-25567	98	14	995	995	NUM
ajst-25567	98	15	.	.	PUNCT
ajst-25567	99	1	[	[	X
ajst-25567	99	2	2	2	X
ajst-25567	99	3	]	]	X
ajst-25567	99	4	luo	luo	PROPN
ajst-25567	99	5	h	h	PROPN
ajst-25567	99	6	m	m	PROPN
ajst-25567	99	7	,	,	PUNCT
ajst-25567	99	8	song	song	NOUN
ajst-25567	99	9	w	w	PROPN
ajst-25567	99	10	q	q	PROPN
ajst-25567	99	11	,	,	PUNCT
ajst-25567	99	12	xing	xing	PROPN
ajst-25567	99	13	y	y	PROPN
ajst-25567	99	14	r	r	PROPN
ajst-25567	99	15	,	,	PUNCT
ajst-25567	99	16	et	et	PROPN
ajst-25567	99	17	al	al	PROPN
ajst-25567	99	18	.	.	PUNCT
ajst-25567	100	1	seismic	seismic	ADJ
ajst-25567	100	2	weak	weak	ADJ
ajst-25567	100	3	signal	signal	NOUN
ajst-25567	100	4	enhancement	enhancement	NOUN
ajst-25567	100	5	processing	processing	NOUN
ajst-25567	100	6	method	method	NOUN
ajst-25567	100	7	based	base	VERB
ajst-25567	100	8	on	on	ADP
ajst-25567	100	9	improved	improve	VERB
ajst-25567	100	10	empirical	empirical	ADJ
ajst-25567	100	11	mode	mode	NOUN
ajst-25567	100	12	decomposition[j	decomposition[j	PROPN
ajst-25567	100	13	]	]	PUNCT
ajst-25567	100	14	.	.	PUNCT
ajst-25567	101	1	progress	progress	NOUN
ajst-25567	101	2	in	in	ADP
ajst-25567	101	3	geophysics	geophysic	NOUN
ajst-25567	101	4	,	,	PUNCT
ajst-25567	101	5	2019	2019	NUM
ajst-25567	101	6	,	,	PUNCT
ajst-25567	101	7	34(01	34(01	NUM
ajst-25567	101	8	):	):	PUNCT
ajst-25567	101	9	167	167	NUM
ajst-25567	101	10	-	-	SYM
ajst-25567	101	11	173	173	NUM
ajst-25567	101	12	.	.	PUNCT
ajst-25567	102	1	[	[	X
ajst-25567	102	2	3	3	X
ajst-25567	102	3	]	]	X
ajst-25567	102	4	mijovic	mijovic	PROPN
ajst-25567	102	5	b	b	NOUN
ajst-25567	102	6	,	,	PUNCT
ajst-25567	102	7	de	de	X
ajst-25567	102	8	vos	vos	NOUN
ajst-25567	102	9	m	m	PROPN
ajst-25567	102	10	,	,	PUNCT
ajst-25567	102	11	gligorijevic	gligorijevic	ADJ
ajst-25567	102	12	i	i	PRON
ajst-25567	102	13	,	,	PUNCT
ajst-25567	102	14	et	et	PROPN
ajst-25567	102	15	al	al	PROPN
ajst-25567	102	16	.	.	PROPN
ajst-25567	102	17	source	source	NOUN
ajst-25567	102	18	separation	separation	NOUN
ajst-25567	102	19	from	from	ADP
ajst-25567	102	20	single	single	ADJ
ajst-25567	102	21	-	-	PUNCT
ajst-25567	102	22	channel	channel	NOUN
ajst-25567	102	23	recordings	recording	NOUN
ajst-25567	102	24	by	by	ADP
ajst-25567	102	25	combining	combine	VERB
ajst-25567	102	26	empirical	empirical	ADJ
ajst-25567	102	27	mode	mode	NOUN
ajst-25567	102	28	decomposition	decomposition	NOUN
ajst-25567	102	29	and	and	CCONJ
ajst-25567	102	30	independent	independent	ADJ
ajst-25567	102	31	component	component	NOUN
ajst-25567	102	32	analysis[j	analysis[j	PROPN
ajst-25567	102	33	]	]	PUNCT
ajst-25567	102	34	.	.	PUNCT
ajst-25567	103	1	ieee	ieee	NOUN
ajst-25567	103	2	transaction	transaction	NOUN
ajst-25567	103	3	on	on	ADP
ajst-25567	103	4	biomedical	biomedical	ADJ
ajst-25567	103	5	engineering.2010	engineering.2010	PROPN
ajst-25567	103	6	,	,	PUNCT
ajst-25567	103	7	57(9	57(9	NUM
ajst-25567	103	8	):	):	PUNCT
ajst-25567	103	9	2188	2188	NUM
ajst-25567	103	10	–	–	PUNCT
ajst-25567	103	11	2196	2196	NUM
ajst-25567	103	12	.	.	PUNCT
ajst-25567	104	1	[	[	X
ajst-25567	104	2	4	4	NUM
ajst-25567	104	3	]	]	X
ajst-25567	104	4	wu	wu	PROPN
ajst-25567	104	5	z	z	PROPN
ajst-25567	104	6	,	,	PUNCT
ajst-25567	104	7	huang	huang	PROPN
ajst-25567	104	8	n	n	PROPN
ajst-25567	104	9	e.	e.	PROPN
ajst-25567	104	10	ensemble	ensemble	PROPN
ajst-25567	104	11	empirical	empirical	ADJ
ajst-25567	104	12	mode	mode	NOUN
ajst-25567	104	13	decomposition	decomposition	NOUN
ajst-25567	104	14	:	:	PUNCT
ajst-25567	104	15	a	a	DET
ajst-25567	104	16	noise	noise	NOUN
ajst-25567	104	17	-	-	PUNCT
ajst-25567	104	18	assisted	assist	VERB
ajst-25567	104	19	data	datum	NOUN
ajst-25567	104	20	analysis	analysis	NOUN
ajst-25567	104	21	method[j	method[j	NOUN
ajst-25567	104	22	]	]	PUNCT
ajst-25567	104	23	.	.	PUNCT
ajst-25567	105	1	advances	advance	NOUN
ajst-25567	105	2	in	in	ADP
ajst-25567	105	3	adaptive	adaptive	ADJ
ajst-25567	105	4	data	datum	NOUN
ajst-25567	105	5	analysis	analysis	NOUN
ajst-25567	105	6	,	,	PUNCT
ajst-25567	105	7	2009	2009	NUM
ajst-25567	105	8	,	,	PUNCT
ajst-25567	105	9	1(01	1(01	NUM
ajst-25567	105	10	):	):	PUNCT
ajst-25567	105	11	1	1	NUM
ajst-25567	105	12	-	-	SYM
ajst-25567	105	13	41	41	NUM
ajst-25567	105	14	.	.	PUNCT
ajst-25567	106	1	[	[	X
ajst-25567	106	2	5	5	X
ajst-25567	106	3	]	]	PUNCT
ajst-25567	106	4	yeh	yeh	PROPN
ajst-25567	106	5	j	j	PROPN
ajst-25567	106	6	r	r	PROPN
ajst-25567	106	7	,	,	PUNCT
ajst-25567	106	8	shieh	shieh	ADJ
ajst-25567	106	9	j	j	PROPN
ajst-25567	106	10	s	s	PROPN
ajst-25567	106	11	,	,	PUNCT
ajst-25567	106	12	huang	huang	PROPN
ajst-25567	106	13	n	n	PROPN
ajst-25567	106	14	e.	e.	PROPN
ajst-25567	106	15	complementary	complementary	PROPN
ajst-25567	106	16	ensemble	ensemble	ADJ
ajst-25567	106	17	empirical	empirical	ADJ
ajst-25567	106	18	mode	mode	NOUN
ajst-25567	106	19	decomposition	decomposition	NOUN
ajst-25567	106	20	:	:	PUNCT
ajst-25567	106	21	a	a	DET
ajst-25567	106	22	novel	novel	ADJ
ajst-25567	106	23	noise	noise	NOUN
ajst-25567	106	24	enhanced	enhance	VERB
ajst-25567	106	25	data	datum	NOUN
ajst-25567	106	26	analysis	analysis	NOUN
ajst-25567	106	27	method[j	method[j	NOUN
ajst-25567	106	28	]	]	PUNCT
ajst-25567	106	29	.	.	PUNCT
ajst-25567	107	1	advances	advance	NOUN
ajst-25567	107	2	in	in	ADP
ajst-25567	107	3	adaptive	adaptive	ADJ
ajst-25567	107	4	data	datum	NOUN
ajst-25567	107	5	analysis	analysis	NOUN
ajst-25567	107	6	,	,	PUNCT
ajst-25567	107	7	2010	2010	NUM
ajst-25567	107	8	,	,	PUNCT
ajst-25567	107	9	2(02	2(02	NUM
ajst-25567	107	10	):	):	PUNCT
ajst-25567	107	11	135	135	NUM
ajst-25567	107	12	-	-	SYM
ajst-25567	107	13	156	156	NUM
ajst-25567	107	14	.	.	PUNCT
ajst-25567	108	1	[	[	X
ajst-25567	108	2	6	6	NUM
ajst-25567	108	3	]	]	AUX
ajst-25567	108	4	torres	torre	VERB
ajst-25567	108	5	m	m	VERB
ajst-25567	108	6	e	e	NOUN
ajst-25567	108	7	,	,	PUNCT
ajst-25567	108	8	colominas	colominas	PROPN
ajst-25567	108	9	m	m	VERB
ajst-25567	108	10	a	a	NOUN
ajst-25567	108	11	,	,	PUNCT
ajst-25567	108	12	schlotthauer	schlotthauer	NOUN
ajst-25567	108	13	g	g	PROPN
ajst-25567	108	14	,	,	PUNCT
ajst-25567	108	15	et	et	PROPN
ajst-25567	108	16	al	al	PROPN
ajst-25567	108	17	.	.	PUNCT
ajst-25567	109	1	a	a	DET
ajst-25567	109	2	complete	complete	ADJ
ajst-25567	109	3	ensemble	ensemble	ADJ
ajst-25567	109	4	empirical	empirical	ADJ
ajst-25567	109	5	mode	mode	NOUN
ajst-25567	109	6	decomposition	decomposition	NOUN
ajst-25567	109	7	with	with	ADP
ajst-25567	109	8	adaptive	adaptive	ADJ
ajst-25567	109	9	noise[c]//2011	noise[c]//2011	NUM
ajst-25567	109	10	ieee	ieee	NOUN
ajst-25567	109	11	international	international	ADJ
ajst-25567	109	12	conference	conference	NOUN
ajst-25567	109	13	on	on	ADP
ajst-25567	109	14	acoustics	acoustic	NOUN
ajst-25567	109	15	,	,	PUNCT
ajst-25567	109	16	speech	speech	NOUN
ajst-25567	109	17	and	and	CCONJ
ajst-25567	109	18	signal	signal	NOUN
ajst-25567	109	19	processing	processing	NOUN
ajst-25567	109	20	(	(	PUNCT
ajst-25567	109	21	icassp	icassp	PROPN
ajst-25567	109	22	)	)	PUNCT
ajst-25567	109	23	.	.	PUNCT
ajst-25567	110	1	ieee	ieee	PROPN
ajst-25567	110	2	,	,	PUNCT
ajst-25567	110	3	2011	2011	NUM
ajst-25567	110	4	:	:	PUNCT
ajst-25567	110	5	4144	4144	NUM
ajst-25567	110	6	-	-	SYM
ajst-25567	110	7	4147	4147	NUM
ajst-25567	110	8	.	.	PUNCT
ajst-25567	111	1	[	[	X
ajst-25567	111	2	7	7	X
ajst-25567	111	3	]	]	SYM
ajst-25567	111	4	hu	hu	PROPN
ajst-25567	111	5	r	r	PROPN
ajst-25567	111	6	q	q	PROPN
ajst-25567	111	7	,	,	PUNCT
ajst-25567	111	8	wang	wang	PROPN
ajst-25567	111	9	y	y	PROPN
ajst-25567	111	10	c	c	PROPN
ajst-25567	111	11	,	,	PUNCT
ajst-25567	111	12	yin	yin	PROPN
ajst-25567	111	13	z	z	PROPN
ajst-25567	111	14	h	h	PROPN
ajst-25567	111	15	,	,	PUNCT
ajst-25567	111	16	et	et	PROPN
ajst-25567	111	17	al	al	PROPN
ajst-25567	111	18	..	..	PROPN
ajst-25567	111	19	low	low	PROPN
ajst-25567	111	20	snr	snr	PROPN
ajst-25567	111	21	microseismic	microseismic	ADJ
ajst-25567	111	22	first	first	ADJ
ajst-25567	111	23	arrival	arrival	NOUN
ajst-25567	111	24	signal	signal	NOUN
ajst-25567	111	25	detection	detection	NOUN
ajst-25567	111	26	combined	combine	VERB
ajst-25567	111	27	with	with	ADP
ajst-25567	111	28	ceemdan	ceemdan	ADJ
ajst-25567	111	29	and	and	CCONJ
ajst-25567	111	30	principal	principal	ADJ
ajst-25567	111	31	component	component	NOUN
ajst-25567	111	32	analysis	analysis	NOUN
ajst-25567	111	33	[	[	X
ajst-25567	111	34	j	j	X
ajst-25567	111	35	]	]	X
ajst-25567	111	36	.	.	PUNCT
ajst-25567	112	1	oil	oil	NOUN
ajst-25567	112	2	geophysical	geophysical	ADJ
ajst-25567	112	3	prospecting	prospecting	NOUN
ajst-25567	112	4	,	,	PUNCT
ajst-25567	112	5	2019	2019	NUM
ajst-25567	112	6	,	,	PUNCT
ajst-25567	112	7	54	54	NUM
ajst-25567	112	8	(	(	PUNCT
ajst-25567	112	9	01	01	NUM
ajst-25567	112	10	):	):	PUNCT
ajst-25567	112	11	45	45	NUM
ajst-25567	112	12	-	-	SYM
ajst-25567	112	13	53	53	NUM
ajst-25567	112	14	+	+	NOUN
ajst-25567	112	15	6	6	NUM
ajst-25567	112	16	.	.	PUNCT