id	sid	tid	token	lemma	pos
fcis-18737	1	1	frontiers	frontier	NOUN
fcis-18737	1	2	in	in	ADP
fcis-18737	1	3	computing	computing	NOUN
fcis-18737	1	4	and	and	CCONJ
fcis-18737	1	5	intelligent	intelligent	ADJ
fcis-18737	1	6	systems	system	NOUN
fcis-18737	1	7	issn	issn	VERB
fcis-18737	1	8	:	:	PUNCT
fcis-18737	1	9	2832	2832	NUM
fcis-18737	1	10	-	-	SYM
fcis-18737	1	11	6024	6024	NUM
fcis-18737	1	12	|	|	NOUN
fcis-18737	1	13	vol	vol	NOUN
fcis-18737	1	14	.	.	PROPN
fcis-18737	2	1	7	7	NUM
fcis-18737	2	2	,	,	PUNCT
fcis-18737	2	3	no	no	INTJ
fcis-18737	2	4	.	.	NOUN
fcis-18737	2	5	3	3	NUM
fcis-18737	2	6	,	,	PUNCT
fcis-18737	2	7	2024	2024	NUM
fcis-18737	2	8	6	6	NUM
fcis-18737	2	9	research	research	NOUN
fcis-18737	2	10	on	on	ADP
fcis-18737	2	11	speech	speech	NOUN
fcis-18737	2	12	denoising	denoise	VERB
fcis-18737	2	13	algorithm	algorithm	NOUN
fcis-18737	2	14	for	for	ADP
fcis-18737	2	15	equipment	equipment	NOUN
fcis-18737	2	16	trains	train	NOUN
fcis-18737	2	17	in	in	ADP
fcis-18737	2	18	fully	fully	ADV
fcis-18737	2	19	mechanized	mechanized	ADJ
fcis-18737	2	20	mining	mining	NOUN
fcis-18737	2	21	working	work	VERB
fcis-18737	2	22	faces	face	NOUN
fcis-18737	2	23	based	base	VERB
fcis-18737	2	24	on	on	ADP
fcis-18737	2	25	ceemdan	ceemdan	PROPN
fcis-18737	2	26	high	high	ADJ
fcis-18737	2	27	and	and	CCONJ
fcis-18737	2	28	low	low	ADJ
fcis-18737	2	29	frequency	frequency	NOUN
fcis-18737	2	30	filtering	filter	VERB
fcis-18737	2	31	hanhan	hanhan	PROPN
fcis-18737	2	32	wu	wu	PROPN
fcis-18737	3	1	*	*	PROPN
fcis-18737	3	2	,	,	PUNCT
fcis-18737	3	3	rongpeng	rongpeng	PROPN
fcis-18737	3	4	he	he	PRON
fcis-18737	3	5	,	,	PUNCT
fcis-18737	3	6	tao	tao	PROPN
fcis-18737	3	7	dou	dou	PROPN
fcis-18737	3	8	sichuan	sichuan	PROPN
fcis-18737	3	9	aerospace	aerospace	PROPN
fcis-18737	3	10	electro	electro	PROPN
fcis-18737	3	11	&	&	CCONJ
fcis-18737	3	12	hydraulic	hydraulic	PROPN
fcis-18737	3	13	control	control	PROPN
fcis-18737	3	14	co.	co.	PROPN
fcis-18737	3	15	,	,	PUNCT
fcis-18737	3	16	ltd	ltd	PROPN
fcis-18737	3	17	,	,	PUNCT
fcis-18737	3	18	chengdu	chengdu	PROPN
fcis-18737	3	19	,	,	PUNCT
fcis-18737	3	20	sichuan	sichuan	PROPN
fcis-18737	3	21	,	,	PUNCT
fcis-18737	3	22	china	china	PROPN
fcis-18737	3	23	*	*	PUNCT
fcis-18737	3	24	corresponding	correspond	VERB
fcis-18737	3	25	author	author	NOUN
fcis-18737	3	26	:	:	PUNCT
fcis-18737	3	27	hanhan	hanhan	PROPN
fcis-18737	3	28	wu	wu	PROPN
fcis-18737	3	29	abstract	abstract	PROPN
fcis-18737	3	30	:	:	PUNCT
fcis-18737	3	31	this	this	DET
fcis-18737	3	32	paper	paper	NOUN
fcis-18737	3	33	proposes	propose	VERB
fcis-18737	3	34	a	a	DET
fcis-18737	3	35	high	high	ADJ
fcis-18737	3	36	and	and	CCONJ
fcis-18737	3	37	low	low	ADJ
fcis-18737	3	38	frequency	frequency	NOUN
fcis-18737	3	39	filtering	filtering	NOUN
fcis-18737	3	40	denoising	denoise	VERB
fcis-18737	3	41	algorithm	algorithm	NOUN
fcis-18737	3	42	based	base	VERB
fcis-18737	3	43	on	on	ADP
fcis-18737	3	44	complete	complete	ADJ
fcis-18737	3	45	ensemble	ensemble	ADJ
fcis-18737	3	46	empirical	empirical	ADJ
fcis-18737	3	47	mode	mode	NOUN
fcis-18737	3	48	decomposition	decomposition	NOUN
fcis-18737	3	49	with	with	ADP
fcis-18737	3	50	adaptive	adaptive	ADJ
fcis-18737	3	51	noise	noise	NOUN
fcis-18737	3	52	(	(	PUNCT
fcis-18737	3	53	ceemdan	ceemdan	PROPN
fcis-18737	3	54	)	)	PUNCT
fcis-18737	3	55	.	.	PUNCT
fcis-18737	4	1	ceemdan	ceemdan	PROPN
fcis-18737	4	2	to	to	PART
fcis-18737	4	3	address	address	VERB
fcis-18737	4	4	the	the	DET
fcis-18737	4	5	issue	issue	NOUN
fcis-18737	4	6	of	of	ADP
fcis-18737	4	7	noise	noise	NOUN
fcis-18737	4	8	in	in	ADP
fcis-18737	4	9	speech	speech	NOUN
fcis-18737	4	10	signals	signal	NOUN
fcis-18737	4	11	obtained	obtain	VERB
fcis-18737	4	12	in	in	ADP
fcis-18737	4	13	the	the	DET
fcis-18737	4	14	environment	environment	NOUN
fcis-18737	4	15	of	of	ADP
fcis-18737	4	16	fully	fully	ADV
fcis-18737	4	17	mechanized	mechanized	ADJ
fcis-18737	4	18	mining	mining	NOUN
fcis-18737	4	19	face	face	NOUN
fcis-18737	4	20	equipment	equipment	NOUN
fcis-18737	4	21	trains	train	NOUN
fcis-18737	4	22	.	.	PUNCT
fcis-18737	5	1	this	this	DET
fcis-18737	5	2	algorithm	algorithm	NOUN
fcis-18737	5	3	first	first	ADV
fcis-18737	5	4	decomposes	decompose	VERB
fcis-18737	5	5	speech	speech	NOUN
fcis-18737	5	6	signals	signal	NOUN
fcis-18737	5	7	into	into	ADP
fcis-18737	5	8	multiple	multiple	ADJ
fcis-18737	5	9	intrinsic	intrinsic	ADJ
fcis-18737	5	10	mode	mode	NOUN
fcis-18737	5	11	functions	function	NOUN
fcis-18737	5	12	(	(	PUNCT
fcis-18737	5	13	imfs	imfs	NOUN
fcis-18737	5	14	)	)	PUNCT
fcis-18737	5	15	in	in	ADP
fcis-18737	5	16	different	different	ADJ
fcis-18737	5	17	frequency	frequency	NOUN
fcis-18737	5	18	domains	domain	NOUN
fcis-18737	5	19	through	through	ADP
fcis-18737	5	20	ceemdan	ceemdan	PROPN
fcis-18737	5	21	,	,	PUNCT
fcis-18737	5	22	then	then	ADV
fcis-18737	5	23	uses	use	VERB
fcis-18737	5	24	hilbert	hilbert	PROPN
fcis-18737	5	25	-	-	PUNCT
fcis-18737	5	26	huang	huang	PROPN
fcis-18737	5	27	transform	transform	PROPN
fcis-18737	5	28	(	(	PUNCT
fcis-18737	5	29	hht	hht	PROPN
fcis-18737	5	30	)	)	PUNCT
fcis-18737	5	31	to	to	PART
fcis-18737	5	32	obtain	obtain	VERB
fcis-18737	5	33	the	the	DET
fcis-18737	5	34	instantaneous	instantaneous	ADJ
fcis-18737	5	35	frequency	frequency	NOUN
fcis-18737	5	36	and	and	CCONJ
fcis-18737	5	37	amplitude	amplitude	NOUN
fcis-18737	5	38	of	of	ADP
fcis-18737	5	39	imfs	imfs	NOUN
fcis-18737	5	40	,	,	PUNCT
fcis-18737	5	41	calculates	calculate	VERB
fcis-18737	5	42	the	the	DET
fcis-18737	5	43	euclidean	euclidean	ADJ
fcis-18737	5	44	distance	distance	NOUN
fcis-18737	5	45	between	between	ADP
fcis-18737	5	46	imfs	imfs	PROPN
fcis-18737	5	47	,	,	PUNCT
fcis-18737	5	48	normalizes	normalize	VERB
fcis-18737	5	49	it	it	PRON
fcis-18737	5	50	to	to	PART
fcis-18737	5	51	obtain	obtain	VERB
fcis-18737	5	52	the	the	DET
fcis-18737	5	53	average	average	ADJ
fcis-18737	5	54	distance	distance	NOUN
fcis-18737	5	55	between	between	ADP
fcis-18737	5	56	imfs	imfs	NOUN
fcis-18737	5	57	,	,	PUNCT
fcis-18737	5	58	and	and	CCONJ
fcis-18737	5	59	divides	divide	VERB
fcis-18737	5	60	the	the	DET
fcis-18737	5	61	imfs	imfs	PROPN
fcis-18737	5	62	components	component	NOUN
fcis-18737	5	63	into	into	ADP
fcis-18737	5	64	high	high	ADJ
fcis-18737	5	65	and	and	CCONJ
fcis-18737	5	66	low	low	ADJ
fcis-18737	5	67	frequency	frequency	NOUN
fcis-18737	5	68	categories	category	NOUN
fcis-18737	5	69	based	base	VERB
fcis-18737	5	70	on	on	ADP
fcis-18737	5	71	the	the	DET
fcis-18737	5	72	average	average	ADJ
fcis-18737	5	73	distance	distance	NOUN
fcis-18737	5	74	.	.	PUNCT
fcis-18737	6	1	next	next	ADJ
fcis-18737	6	2	,	,	PUNCT
fcis-18737	6	3	optimally	optimally	ADV
fcis-18737	6	4	modified	modify	VERB
fcis-18737	6	5	log	log	NOUN
fcis-18737	6	6	spectral	spectral	ADJ
fcis-18737	6	7	amplitude	amplitude	NOUN
fcis-18737	6	8	(	(	PUNCT
fcis-18737	6	9	omlsa	omlsa	ADJ
fcis-18737	6	10	)	)	PUNCT
fcis-18737	6	11	algorithm	algorithm	NOUN
fcis-18737	6	12	and	and	CCONJ
fcis-18737	6	13	kalman	kalman	PROPN
fcis-18737	6	14	filtering	filtering	PROPN
fcis-18737	6	15	algorithm	algorithm	PROPN
fcis-18737	6	16	are	be	AUX
fcis-18737	6	17	used	use	VERB
fcis-18737	6	18	for	for	ADP
fcis-18737	6	19	the	the	DET
fcis-18737	6	20	high	high	ADJ
fcis-18737	6	21	-	-	PUNCT
fcis-18737	6	22	frequency	frequency	NOUN
fcis-18737	6	23	and	and	CCONJ
fcis-18737	6	24	low	low	ADJ
fcis-18737	6	25	-	-	PUNCT
fcis-18737	6	26	frequency	frequency	NOUN
fcis-18737	6	27	imf	imf	PROPN
fcis-18737	6	28	components	component	NOUN
fcis-18737	6	29	,	,	PUNCT
fcis-18737	6	30	respectively	respectively	ADV
fcis-18737	6	31	.	.	PUNCT
fcis-18737	7	1	finally	finally	ADV
fcis-18737	7	2	,	,	PUNCT
fcis-18737	7	3	the	the	DET
fcis-18737	7	4	processed	process	VERB
fcis-18737	7	5	imf	imf	PROPN
fcis-18737	7	6	components	component	NOUN
fcis-18737	7	7	are	be	AUX
fcis-18737	7	8	reconstructed	reconstruct	VERB
fcis-18737	7	9	to	to	PART
fcis-18737	7	10	obtain	obtain	VERB
fcis-18737	7	11	a	a	DET
fcis-18737	7	12	denoised	denoise	VERB
fcis-18737	7	13	signal	signal	NOUN
fcis-18737	7	14	.	.	PUNCT
fcis-18737	8	1	after	after	ADP
fcis-18737	8	2	comparative	comparative	ADJ
fcis-18737	8	3	experiments	experiment	NOUN
fcis-18737	8	4	,	,	PUNCT
fcis-18737	8	5	the	the	DET
fcis-18737	8	6	noise	noise	NOUN
fcis-18737	8	7	reduction	reduction	NOUN
fcis-18737	8	8	algorithm	algorithm	NOUN
fcis-18737	8	9	proposed	propose	VERB
fcis-18737	8	10	in	in	ADP
fcis-18737	8	11	this	this	DET
fcis-18737	8	12	paper	paper	NOUN
fcis-18737	8	13	significantly	significantly	ADV
fcis-18737	8	14	improves	improve	VERB
fcis-18737	8	15	the	the	DET
fcis-18737	8	16	signal	signal	NOUN
fcis-18737	8	17	to	to	PART
fcis-18737	8	18	noise	noise	VERB
fcis-18737	8	19	ratio	ratio	NOUN
fcis-18737	8	20	(	(	PUNCT
fcis-18737	8	21	snr	snr	PROPN
fcis-18737	8	22	)	)	PUNCT
fcis-18737	8	23	,	,	PUNCT
fcis-18737	8	24	peak	peak	NOUN
fcis-18737	8	25	signal	signal	NOUN
fcis-18737	8	26	to	to	PART
fcis-18737	8	27	noise	noise	VERB
fcis-18737	8	28	ratio	ratio	NOUN
fcis-18737	8	29	(	(	PUNCT
fcis-18737	8	30	psnr	psnr	NOUN
fcis-18737	8	31	)	)	PUNCT
fcis-18737	8	32	,	,	PUNCT
fcis-18737	8	33	mean	mean	VERB
fcis-18737	8	34	square	square	ADJ
fcis-18737	8	35	error	error	NOUN
fcis-18737	8	36	(	(	PUNCT
fcis-18737	8	37	rmse	rmse	NOUN
fcis-18737	8	38	)	)	PUNCT
fcis-18737	8	39	,	,	PUNCT
fcis-18737	8	40	and	and	CCONJ
fcis-18737	8	41	mean	mean	VERB
fcis-18737	8	42	absolute	absolute	ADJ
fcis-18737	8	43	distance	distance	NOUN
fcis-18737	8	44	(	(	PUNCT
fcis-18737	8	45	mae	mae	PROPN
fcis-18737	8	46	)	)	PUNCT
fcis-18737	8	47	of	of	ADP
fcis-18737	8	48	speech	speech	NOUN
fcis-18737	8	49	signals	signal	NOUN
fcis-18737	8	50	obtained	obtain	VERB
fcis-18737	8	51	in	in	ADP
fcis-18737	8	52	the	the	DET
fcis-18737	8	53	environment	environment	NOUN
fcis-18737	8	54	of	of	ADP
fcis-18737	8	55	fully	fully	ADV
fcis-18737	8	56	mechanized	mechanized	ADJ
fcis-18737	8	57	mining	mining	NOUN
fcis-18737	8	58	face	face	NOUN
fcis-18737	8	59	equipment	equipment	NOUN
fcis-18737	8	60	trains	train	NOUN
fcis-18737	8	61	compared	compare	VERB
fcis-18737	8	62	to	to	ADP
fcis-18737	8	63	other	other	ADJ
fcis-18737	8	64	commonly	commonly	ADV
fcis-18737	8	65	used	use	VERB
fcis-18737	8	66	noise	noise	NOUN
fcis-18737	8	67	reduction	reduction	NOUN
fcis-18737	8	68	algorithms	algorithm	NOUN
fcis-18737	8	69	.	.	PUNCT
fcis-18737	9	1	keywords	keyword	NOUN
fcis-18737	9	2	:	:	PUNCT
fcis-18737	9	3	ceemdan	ceemdan	ADJ
fcis-18737	9	4	;	;	PUNCT
fcis-18737	9	5	intrinsic	intrinsic	ADJ
fcis-18737	9	6	mode	mode	NOUN
fcis-18737	9	7	function	function	NOUN
fcis-18737	9	8	;	;	PUNCT
fcis-18737	9	9	hilbert	hilbert	PROPN
fcis-18737	9	10	-	-	PUNCT
fcis-18737	9	11	huang	huang	PROPN
fcis-18737	9	12	transform	transform	NOUN
fcis-18737	9	13	;	;	PUNCT
fcis-18737	9	14	omlsa	omlsa	ADJ
fcis-18737	9	15	;	;	PUNCT
fcis-18737	9	16	kalman	kalman	PROPN
fcis-18737	9	17	filter	filter	PROPN
fcis-18737	9	18	.	.	PUNCT
fcis-18737	10	1	1	1	X
fcis-18737	10	2	.	.	X
fcis-18737	10	3	introduction	introduction	NOUN
fcis-18737	10	4	the	the	DET
fcis-18737	10	5	coal	coal	NOUN
fcis-18737	10	6	industry	industry	NOUN
fcis-18737	10	7	is	be	AUX
fcis-18737	10	8	one	one	NUM
fcis-18737	10	9	of	of	ADP
fcis-18737	10	10	the	the	DET
fcis-18737	10	11	important	important	ADJ
fcis-18737	10	12	pillar	pillar	NOUN
fcis-18737	10	13	industries	industry	NOUN
fcis-18737	10	14	of	of	ADP
fcis-18737	10	15	my	my	PRON
fcis-18737	10	16	country	country	NOUN
fcis-18737	10	17	's	's	PART
fcis-18737	10	18	national	national	ADJ
fcis-18737	10	19	economy	economy	NOUN
fcis-18737	10	20	and	and	CCONJ
fcis-18737	10	21	provides	provide	VERB
fcis-18737	10	22	the	the	DET
fcis-18737	10	23	main	main	ADJ
fcis-18737	10	24	energy	energy	NOUN
fcis-18737	10	25	guarantee	guarantee	NOUN
fcis-18737	10	26	for	for	ADP
fcis-18737	10	27	my	my	PRON
fcis-18737	10	28	country	country	NOUN
fcis-18737	10	29	's	's	PART
fcis-18737	10	30	economic	economic	ADJ
fcis-18737	10	31	construction	construction	NOUN
fcis-18737	11	1	[	[	X
fcis-18737	11	2	1	1	NUM
fcis-18737	11	3	,	,	PUNCT
fcis-18737	11	4	2	2	NUM
fcis-18737	11	5	,	,	PUNCT
fcis-18737	11	6	3	3	NUM
fcis-18737	11	7	]	]	PUNCT
fcis-18737	11	8	.	.	PUNCT
fcis-18737	12	1	however	however	ADV
fcis-18737	12	2	,	,	PUNCT
fcis-18737	12	3	during	during	ADP
fcis-18737	12	4	coal	coal	NOUN
fcis-18737	12	5	in	in	ADP
fcis-18737	12	6	the	the	DET
fcis-18737	12	7	process	process	NOUN
fcis-18737	12	8	of	of	ADP
fcis-18737	12	9	mining	mining	NOUN
fcis-18737	12	10	,	,	PUNCT
fcis-18737	12	11	safety	safety	NOUN
fcis-18737	12	12	can	can	AUX
fcis-18737	12	13	not	not	PART
fcis-18737	12	14	be	be	AUX
fcis-18737	12	15	guaranteed	guarantee	VERB
fcis-18737	12	16	due	due	ADP
fcis-18737	12	17	to	to	ADP
fcis-18737	12	18	various	various	ADJ
fcis-18737	12	19	reasons	reason	NOUN
fcis-18737	12	20	[	[	X
fcis-18737	12	21	4,5	4,5	NUM
fcis-18737	12	22	]	]	PUNCT
fcis-18737	12	23	.	.	PUNCT
fcis-18737	13	1	with	with	ADP
fcis-18737	13	2	the	the	DET
fcis-18737	13	3	continuous	continuous	ADJ
fcis-18737	13	4	advancement	advancement	NOUN
fcis-18737	13	5	of	of	ADP
fcis-18737	13	6	voice	voice	NOUN
fcis-18737	13	7	communication	communication	NOUN
fcis-18737	13	8	technology	technology	NOUN
fcis-18737	13	9	,	,	PUNCT
fcis-18737	13	10	ensuring	ensure	VERB
fcis-18737	13	11	smooth	smooth	ADJ
fcis-18737	13	12	communication	communication	NOUN
fcis-18737	13	13	between	between	ADP
fcis-18737	13	14	the	the	DET
fcis-18737	13	15	surface	surface	NOUN
fcis-18737	13	16	and	and	CCONJ
fcis-18737	13	17	underground	underground	ADJ
fcis-18737	13	18	and	and	CCONJ
fcis-18737	13	19	monitoring	monitor	VERB
fcis-18737	13	20	underground	underground	ADJ
fcis-18737	13	21	conditions	condition	NOUN
fcis-18737	13	22	from	from	ADP
fcis-18737	13	23	the	the	DET
fcis-18737	13	24	ground	ground	NOUN
fcis-18737	13	25	have	have	AUX
fcis-18737	13	26	played	play	VERB
fcis-18737	13	27	a	a	DET
fcis-18737	13	28	vital	vital	ADJ
fcis-18737	13	29	role	role	NOUN
fcis-18737	13	30	in	in	ADP
fcis-18737	13	31	safe	safe	ADJ
fcis-18737	13	32	production	production	NOUN
fcis-18737	13	33	underground	underground	ADV
fcis-18737	14	1	[	[	X
fcis-18737	14	2	6,7	6,7	NUM
fcis-18737	14	3	]	]	PUNCT
fcis-18737	14	4	.	.	PUNCT
fcis-18737	15	1	at	at	ADP
fcis-18737	15	2	present	present	ADJ
fcis-18737	15	3	,	,	PUNCT
fcis-18737	15	4	the	the	DET
fcis-18737	15	5	common	common	ADJ
fcis-18737	15	6	noise	noise	NOUN
fcis-18737	15	7	reduction	reduction	NOUN
fcis-18737	15	8	methods	method	NOUN
fcis-18737	15	9	in	in	ADP
fcis-18737	15	10	coal	coal	NOUN
fcis-18737	15	11	mines	mine	NOUN
fcis-18737	15	12	are	be	AUX
fcis-18737	15	13	mainly	mainly	ADV
fcis-18737	15	14	depend	depend	VERB
fcis-18737	15	15	on	on	ADP
fcis-18737	15	16	the	the	DET
fcis-18737	15	17	equipment	equipment	NOUN
fcis-18737	15	18	itself	itself	PRON
fcis-18737	15	19	[	[	X
fcis-18737	15	20	8	8	NUM
fcis-18737	15	21	]	]	PUNCT
fcis-18737	15	22	and	and	CCONJ
fcis-18737	15	23	for	for	ADP
fcis-18737	15	24	specific	specific	ADJ
fcis-18737	15	25	underground	underground	ADJ
fcis-18737	15	26	environments	environment	NOUN
fcis-18737	15	27	.	.	PUNCT
fcis-18737	16	1	the	the	DET
fcis-18737	16	2	noise	noise	NOUN
fcis-18737	16	3	reduction	reduction	NOUN
fcis-18737	16	4	technology	technology	NOUN
fcis-18737	16	5	of	of	ADP
fcis-18737	16	6	the	the	DET
fcis-18737	16	7	equipment	equipment	NOUN
fcis-18737	16	8	itself	itself	PRON
fcis-18737	16	9	mainly	mainly	ADV
fcis-18737	16	10	involves	involve	VERB
fcis-18737	16	11	studying	study	VERB
fcis-18737	16	12	the	the	DET
fcis-18737	16	13	noise	noise	NOUN
fcis-18737	16	14	reduction	reduction	NOUN
fcis-18737	16	15	structure	structure	NOUN
fcis-18737	16	16	of	of	ADP
fcis-18737	16	17	the	the	DET
fcis-18737	16	18	equipment	equipment	NOUN
fcis-18737	16	19	[	[	X
fcis-18737	16	20	9	9	NUM
fcis-18737	16	21	]	]	PUNCT
fcis-18737	16	22	and	and	CCONJ
fcis-18737	16	23	adding	add	VERB
fcis-18737	16	24	sound	sound	ADJ
fcis-18737	16	25	insulation	insulation	NOUN
fcis-18737	16	26	equipment	equipment	NOUN
fcis-18737	16	27	[	[	X
fcis-18737	16	28	10	10	NUM
fcis-18737	16	29	]	]	PUNCT
fcis-18737	16	30	,	,	PUNCT
fcis-18737	16	31	which	which	PRON
fcis-18737	16	32	is	be	AUX
fcis-18737	16	33	not	not	PART
fcis-18737	16	34	applicable	applicable	ADJ
fcis-18737	16	35	to	to	ADP
fcis-18737	16	36	the	the	DET
fcis-18737	16	37	designed	design	VERB
fcis-18737	16	38	equipment	equipment	NOUN
fcis-18737	16	39	and	and	CCONJ
fcis-18737	16	40	tunnel	tunnel	NOUN
fcis-18737	16	41	layout	layout	NOUN
fcis-18737	16	42	,	,	PUNCT
fcis-18737	16	43	but	but	CCONJ
fcis-18737	16	44	the	the	DET
fcis-18737	16	45	applicability	applicability	NOUN
fcis-18737	16	46	to	to	ADP
fcis-18737	16	47	specific	specific	ADJ
fcis-18737	16	48	environments	environment	NOUN
fcis-18737	16	49	is	be	AUX
fcis-18737	16	50	poor	poor	ADJ
fcis-18737	16	51	.	.	PUNCT
fcis-18737	17	1	for	for	ADP
fcis-18737	17	2	example	example	NOUN
fcis-18737	17	3	,	,	PUNCT
fcis-18737	17	4	literature	literature	NOUN
fcis-18737	17	5	[	[	X
fcis-18737	17	6	11	11	NUM
fcis-18737	17	7	]	]	PUNCT
fcis-18737	17	8	combines	combine	VERB
fcis-18737	17	9	the	the	DET
fcis-18737	17	10	improved	improved	ADJ
fcis-18737	17	11	fruit	fruit	NOUN
fcis-18737	17	12	fly	fly	NOUN
fcis-18737	17	13	algorithm	algorithm	NOUN
fcis-18737	17	14	and	and	CCONJ
fcis-18737	17	15	complete	complete	ADJ
fcis-18737	17	16	ensemble	ensemble	ADJ
fcis-18737	17	17	empirical	empirical	ADJ
fcis-18737	17	18	mode	mode	NOUN
fcis-18737	17	19	decomposition	decomposition	NOUN
fcis-18737	17	20	with	with	ADP
fcis-18737	17	21	adaptive	adaptive	ADJ
fcis-18737	17	22	noise	noise	NOUN
fcis-18737	17	23	(	(	PUNCT
fcis-18737	17	24	ceemdan	ceemdan	PROPN
fcis-18737	17	25	)	)	PUNCT
fcis-18737	17	26	to	to	PART
fcis-18737	17	27	solve	solve	VERB
fcis-18737	17	28	coal	coal	NOUN
fcis-18737	17	29	and	and	CCONJ
fcis-18737	17	30	rock	rock	NOUN
fcis-18737	17	31	cutting	cutting	NOUN
fcis-18737	17	32	noise	noise	NOUN
fcis-18737	17	33	.	.	PUNCT
fcis-18737	18	1	the	the	DET
fcis-18737	18	2	adaptability	adaptability	NOUN
fcis-18737	18	3	is	be	AUX
fcis-18737	18	4	poor	poor	ADJ
fcis-18737	18	5	,	,	PUNCT
fcis-18737	18	6	and	and	CCONJ
fcis-18737	18	7	the	the	DET
fcis-18737	18	8	coal	coal	NOUN
fcis-18737	18	9	and	and	CCONJ
fcis-18737	18	10	rock	rock	NOUN
fcis-18737	18	11	cutting	cutting	NOUN
fcis-18737	18	12	noise	noise	NOUN
fcis-18737	18	13	is	be	AUX
fcis-18737	18	14	single	single	ADJ
fcis-18737	18	15	.	.	PUNCT
fcis-18737	19	1	document	document	NOUN
fcis-18737	20	1	[	[	X
fcis-18737	20	2	12	12	NUM
fcis-18737	20	3	]	]	PUNCT
fcis-18737	20	4	applies	apply	VERB
fcis-18737	20	5	wavelet	wavelet	NOUN
fcis-18737	20	6	threshold	threshold	NOUN
fcis-18737	20	7	denoising	denoise	VERB
fcis-18737	20	8	to	to	ADP
fcis-18737	20	9	underground	underground	ADJ
fcis-18737	20	10	voice	voice	NOUN
fcis-18737	20	11	communication	communication	NOUN
fcis-18737	20	12	systems	system	NOUN
fcis-18737	20	13	.	.	PUNCT
fcis-18737	21	1	document	document	NOUN
fcis-18737	21	2	[	[	X
fcis-18737	21	3	13	13	NUM
fcis-18737	21	4	]	]	PUNCT
fcis-18737	21	5	applies	apply	VERB
fcis-18737	21	6	wavelet	wavelet	NOUN
fcis-18737	21	7	threshold	threshold	NOUN
fcis-18737	21	8	to	to	PART
fcis-18737	21	9	underground	underground	ADJ
fcis-18737	21	10	received	receive	VERB
fcis-18737	21	11	signals	signal	NOUN
fcis-18737	21	12	.	.	PUNCT
fcis-18737	22	1	document	document	NOUN
fcis-18737	23	1	[	[	X
fcis-18737	23	2	14	14	NUM
fcis-18737	23	3	]	]	PUNCT
fcis-18737	23	4	applies	apply	VERB
fcis-18737	23	5	wavelet	wavelet	NOUN
fcis-18737	23	6	threshold	threshold	NOUN
fcis-18737	23	7	to	to	ADP
fcis-18737	23	8	denoising	denoise	VERB
fcis-18737	23	9	metal	metal	NOUN
fcis-18737	23	10	rope	rope	NOUN
fcis-18737	23	11	signals	signal	NOUN
fcis-18737	23	12	of	of	ADP
fcis-18737	23	13	coal	coal	NOUN
fcis-18737	23	14	mine	mine	NOUN
fcis-18737	23	15	crane	crane	NOUN
fcis-18737	23	16	adjustment	adjustment	NOUN
fcis-18737	23	17	.	.	PUNCT
fcis-18737	24	1	although	although	SCONJ
fcis-18737	24	2	wavelet	wavelet	NOUN
fcis-18737	24	3	transform	transform	VERB
fcis-18737	24	4	to	to	PART
fcis-18737	24	5	achieve	achieve	VERB
fcis-18737	24	6	noise	noise	NOUN
fcis-18737	24	7	reduction	reduction	NOUN
fcis-18737	24	8	in	in	ADP
fcis-18737	24	9	specific	specific	ADJ
fcis-18737	24	10	environments	environment	NOUN
fcis-18737	24	11	,	,	PUNCT
fcis-18737	24	12	it	it	PRON
fcis-18737	24	13	is	be	AUX
fcis-18737	24	14	necessary	necessary	ADJ
fcis-18737	24	15	to	to	PART
fcis-18737	24	16	manually	manually	ADV
fcis-18737	24	17	select	select	VERB
fcis-18737	24	18	the	the	DET
fcis-18737	24	19	wavelet	wavelet	NOUN
fcis-18737	24	20	base	base	NOUN
fcis-18737	24	21	and	and	CCONJ
fcis-18737	24	22	noise	noise	NOUN
fcis-18737	24	23	reduction	reduction	NOUN
fcis-18737	24	24	threshold	threshold	NOUN
fcis-18737	24	25	according	accord	VERB
fcis-18737	24	26	to	to	ADP
fcis-18737	24	27	the	the	DET
fcis-18737	24	28	differential	differential	ADJ
fcis-18737	24	29	noise	noise	NOUN
fcis-18737	24	30	in	in	ADP
fcis-18737	24	31	different	different	ADJ
fcis-18737	24	32	environments	environment	NOUN
fcis-18737	24	33	,	,	PUNCT
fcis-18737	24	34	which	which	PRON
fcis-18737	24	35	lacks	lack	VERB
fcis-18737	24	36	adaptability	adaptability	NOUN
fcis-18737	24	37	.	.	PUNCT
fcis-18737	25	1	literature	literature	NOUN
fcis-18737	25	2	[	[	X
fcis-18737	25	3	15	15	NUM
fcis-18737	25	4	]	]	X
fcis-18737	25	5	uses	use	VERB
fcis-18737	25	6	emd	emd	PROPN
fcis-18737	25	7	decomposition	decomposition	NOUN
fcis-18737	25	8	and	and	CCONJ
fcis-18737	25	9	wavelet	wavelet	NOUN
fcis-18737	25	10	noise	noise	NOUN
fcis-18737	25	11	reduction	reduction	NOUN
fcis-18737	25	12	for	for	ADP
fcis-18737	25	13	acoustic	acoustic	ADJ
fcis-18737	25	14	detection	detection	NOUN
fcis-18737	25	15	of	of	ADP
fcis-18737	25	16	underground	underground	ADJ
fcis-18737	25	17	geological	geological	ADJ
fcis-18737	25	18	structures	structure	NOUN
fcis-18737	25	19	.	.	PUNCT
fcis-18737	26	1	although	although	SCONJ
fcis-18737	26	2	the	the	DET
fcis-18737	26	3	quality	quality	NOUN
fcis-18737	26	4	of	of	ADP
fcis-18737	26	5	the	the	DET
fcis-18737	26	6	processed	process	VERB
fcis-18737	26	7	speech	speech	NOUN
fcis-18737	26	8	signal	signal	NOUN
fcis-18737	26	9	has	have	AUX
fcis-18737	26	10	been	be	AUX
fcis-18737	26	11	improved	improve	VERB
fcis-18737	26	12	to	to	ADP
fcis-18737	26	13	a	a	DET
fcis-18737	26	14	certain	certain	ADJ
fcis-18737	26	15	extent	extent	NOUN
fcis-18737	26	16	,	,	PUNCT
fcis-18737	26	17	aliasing	aliasing	NOUN
fcis-18737	26	18	will	will	AUX
fcis-18737	26	19	occur	occur	VERB
fcis-18737	26	20	if	if	SCONJ
fcis-18737	26	21	the	the	DET
fcis-18737	26	22	signal	signal	NOUN
fcis-18737	26	23	does	do	AUX
fcis-18737	26	24	not	not	PART
fcis-18737	26	25	fully	fully	ADV
fcis-18737	26	26	meet	meet	VERB
fcis-18737	26	27	the	the	DET
fcis-18737	26	28	definition	definition	NOUN
fcis-18737	26	29	of	of	ADP
fcis-18737	26	30	white	white	ADJ
fcis-18737	26	31	noise	noise	NOUN
fcis-18737	26	32	.	.	PUNCT
fcis-18737	27	1	based	base	VERB
fcis-18737	27	2	on	on	ADP
fcis-18737	27	3	the	the	DET
fcis-18737	27	4	above	above	ADJ
fcis-18737	27	5	analysis	analysis	NOUN
fcis-18737	27	6	,	,	PUNCT
fcis-18737	27	7	in	in	ADP
fcis-18737	27	8	view	view	NOUN
fcis-18737	27	9	of	of	ADP
fcis-18737	27	10	the	the	DET
fcis-18737	27	11	characteristics	characteristic	NOUN
fcis-18737	27	12	of	of	ADP
fcis-18737	27	13	underground	underground	ADJ
fcis-18737	27	14	coal	coal	NOUN
fcis-18737	27	15	mine	mine	NOUN
fcis-18737	27	16	fully	fully	ADV
fcis-18737	27	17	mechanized	mechanized	ADJ
fcis-18737	27	18	mining	mining	NOUN
fcis-18737	27	19	working	work	VERB
fcis-18737	27	20	face	face	NOUN
fcis-18737	27	21	equipment	equipment	NOUN
fcis-18737	27	22	trains	train	NOUN
fcis-18737	27	23	that	that	SCONJ
fcis-18737	27	24	any	any	DET
fcis-18737	27	25	machines	machine	NOUN
fcis-18737	27	26	and	and	CCONJ
fcis-18737	27	27	equipment	equipment	NOUN
fcis-18737	27	28	,	,	PUNCT
fcis-18737	27	29	high	high	ADJ
fcis-18737	27	30	power	power	NOUN
fcis-18737	27	31	,	,	PUNCT
fcis-18737	27	32	narrow	narrow	ADJ
fcis-18737	27	33	working	working	NOUN
fcis-18737	27	34	space	space	NOUN
fcis-18737	27	35	,	,	PUNCT
fcis-18737	27	36	large	large	ADJ
fcis-18737	27	37	reflective	reflective	ADJ
fcis-18737	27	38	surface	surface	NOUN
fcis-18737	27	39	,	,	PUNCT
fcis-18737	27	40	easy	easy	ADJ
fcis-18737	27	41	to	to	PART
fcis-18737	27	42	form	form	VERB
fcis-18737	27	43	mixed	mixed	ADJ
fcis-18737	27	44	noise	noise	NOUN
fcis-18737	27	45	with	with	ADP
fcis-18737	27	46	high	high	ADJ
fcis-18737	27	47	intensity	intensity	NOUN
fcis-18737	27	48	and	and	CCONJ
fcis-18737	27	49	high	high	ADJ
fcis-18737	27	50	sound	sound	NOUN
fcis-18737	27	51	level	level	NOUN
fcis-18737	27	52	[	[	X
fcis-18737	27	53	16,17	16,17	NUM
fcis-18737	27	54	]	]	PUNCT
fcis-18737	27	55	,	,	PUNCT
fcis-18737	27	56	this	this	DET
fcis-18737	27	57	paper	paper	NOUN
fcis-18737	27	58	proposes	propose	VERB
fcis-18737	27	59	a	a	DET
fcis-18737	27	60	high	high	ADJ
fcis-18737	27	61	frequency	frequency	NOUN
fcis-18737	27	62	and	and	CCONJ
fcis-18737	27	63	low	low	ADJ
fcis-18737	27	64	frequency	frequency	NOUN
fcis-18737	27	65	filtering	filter	VERB
fcis-18737	27	66	algorithm	algorithm	NOUN
fcis-18737	27	67	for	for	ADP
fcis-18737	27	68	coal	coal	NOUN
fcis-18737	27	69	mines	mine	NOUN
fcis-18737	27	70	based	base	VERB
fcis-18737	27	71	on	on	ADP
fcis-18737	27	72	ceemdan	ceemdan	PROPN
fcis-18737	27	73	is	be	AUX
fcis-18737	27	74	proposed	propose	VERB
fcis-18737	27	75	.	.	PUNCT
fcis-18737	28	1	the	the	DET
fcis-18737	28	2	algorithm	algorithm	NOUN
fcis-18737	28	3	uses	use	VERB
fcis-18737	28	4	ceemdan	ceemdan	PROPN
fcis-18737	28	5	and	and	CCONJ
fcis-18737	28	6	hilbert	hilbert	PROPN
fcis-18737	28	7	-	-	PUNCT
fcis-18737	28	8	huang	huang	PROPN
fcis-18737	28	9	transform	transform	PROPN
fcis-18737	28	10	(	(	PUNCT
fcis-18737	28	11	hht	hht	PROPN
fcis-18737	28	12	)	)	PUNCT
fcis-18737	28	13	to	to	PART
fcis-18737	28	14	adaptively	adaptively	ADV
fcis-18737	28	15	decompose	decompose	VERB
fcis-18737	28	16	the	the	DET
fcis-18737	28	17	original	original	ADJ
fcis-18737	28	18	speech	speech	NOUN
fcis-18737	28	19	signal	signal	NOUN
fcis-18737	28	20	into	into	ADP
fcis-18737	28	21	intrinsic	intrinsic	ADJ
fcis-18737	28	22	mode	mode	NOUN
fcis-18737	28	23	function	function	NOUN
fcis-18737	28	24	(	(	PUNCT
fcis-18737	28	25	imfs	imfs	NOUN
fcis-18737	28	26	)	)	PUNCT
fcis-18737	28	27	components	component	NOUN
fcis-18737	28	28	of	of	ADP
fcis-18737	28	29	high	high	ADJ
fcis-18737	28	30	-	-	PUNCT
fcis-18737	28	31	frequency	frequency	NOUN
fcis-18737	28	32	and	and	CCONJ
fcis-18737	28	33	low	low	ADJ
fcis-18737	28	34	-	-	PUNCT
fcis-18737	28	35	frequency	frequency	NOUN
fcis-18737	28	36	.	.	PUNCT
fcis-18737	29	1	according	accord	VERB
fcis-18737	29	2	to	to	ADP
fcis-18737	29	3	the	the	DET
fcis-18737	29	4	noise	noise	NOUN
fcis-18737	29	5	characteristics	characteristic	NOUN
fcis-18737	29	6	of	of	ADP
fcis-18737	29	7	different	different	ADJ
fcis-18737	29	8	frequency	frequency	NOUN
fcis-18737	29	9	domains	domain	NOUN
fcis-18737	29	10	,	,	PUNCT
fcis-18737	29	11	the	the	DET
fcis-18737	29	12	optimal	optimal	ADJ
fcis-18737	29	13	improved	improve	VERB
fcis-18737	29	14	log	log	NOUN
fcis-18737	29	15	spectral	spectral	ADJ
fcis-18737	29	16	amplitude	amplitude	NOUN
fcis-18737	29	17	estimation	estimation	NOUN
fcis-18737	29	18	(	(	PUNCT
fcis-18737	29	19	omlsa	omlsa	ADJ
fcis-18737	29	20	)	)	PUNCT
fcis-18737	29	21	algorithm	algorithm	NOUN
fcis-18737	29	22	and	and	CCONJ
fcis-18737	29	23	the	the	DET
fcis-18737	29	24	kalman	kalman	PROPN
fcis-18737	29	25	filter	filter	PROPN
fcis-18737	29	26	(	(	PUNCT
fcis-18737	29	27	kalman	kalman	NOUN
fcis-18737	29	28	)	)	PUNCT
fcis-18737	29	29	algorithm	algorithm	PROPN
fcis-18737	29	30	are	be	AUX
fcis-18737	29	31	used	use	VERB
fcis-18737	29	32	respectively	respectively	ADV
fcis-18737	29	33	,	,	PUNCT
fcis-18737	29	34	and	and	CCONJ
fcis-18737	29	35	the	the	DET
fcis-18737	29	36	final	final	ADJ
fcis-18737	29	37	denoised	denoise	VERB
fcis-18737	29	38	signal	signal	NOUN
fcis-18737	29	39	is	be	AUX
fcis-18737	29	40	obtained	obtain	VERB
fcis-18737	29	41	by	by	ADP
fcis-18737	29	42	reconstructing	reconstruct	VERB
fcis-18737	29	43	the	the	DET
fcis-18737	29	44	processed	process	VERB
fcis-18737	29	45	imfs	imfs	NOUN
fcis-18737	29	46	components	component	NOUN
fcis-18737	29	47	.	.	PUNCT
fcis-18737	30	1	2	2	X
fcis-18737	30	2	.	.	X
fcis-18737	30	3	basic	basic	ADJ
fcis-18737	30	4	theory	theory	NOUN
fcis-18737	30	5	2.1	2.1	NUM
fcis-18737	30	6	.	.	PUNCT
fcis-18737	31	1	ceemdan	ceemdan	PROPN
fcis-18737	31	2	algorithm	algorithm	PROPN
fcis-18737	31	3	principle	principle	VERB
fcis-18737	31	4	the	the	DET
fcis-18737	31	5	ceemdan	ceemdan	PROPN
fcis-18737	31	6	algorithm	algorithm	NOUN
fcis-18737	31	7	is	be	AUX
fcis-18737	31	8	a	a	DET
fcis-18737	31	9	complete	complete	ADJ
fcis-18737	31	10	integrated	integrate	VERB
fcis-18737	31	11	empirical	empirical	ADJ
fcis-18737	31	12	mode	mode	NOUN
fcis-18737	31	13	decomposition	decomposition	NOUN
fcis-18737	31	14	algorithm	algorithm	NOUN
fcis-18737	31	15	with	with	ADP
fcis-18737	31	16	adaptive	adaptive	ADJ
fcis-18737	31	17	white	white	ADJ
fcis-18737	31	18	noise	noise	NOUN
fcis-18737	31	19	proposed	propose	VERB
fcis-18737	31	20	by	by	ADP
fcis-18737	31	21	torres	torre	NOUN
fcis-18737	32	1	[	[	X
fcis-18737	32	2	18	18	NUM
fcis-18737	32	3	]	]	PUNCT
fcis-18737	32	4	based	base	VERB
fcis-18737	32	5	on	on	ADP
fcis-18737	32	6	empirical	empirical	ADJ
fcis-18737	32	7	mode	mode	NOUN
fcis-18737	32	8	decomposition	decomposition	NOUN
fcis-18737	32	9	(	(	PUNCT
fcis-18737	32	10	emd	emd	PROPN
fcis-18737	32	11	)	)	PUNCT
fcis-18737	32	12	and	and	CCONJ
fcis-18737	32	13	ensemble	ensemble	ADJ
fcis-18737	32	14	empirical	empirical	ADJ
fcis-18737	32	15	mode	mode	NOUN
fcis-18737	32	16	decomposition	decomposition	NOUN
fcis-18737	32	17	(	(	PUNCT
fcis-18737	32	18	eemd	eemd	PROPN
fcis-18737	32	19	)	)	PUNCT
fcis-18737	32	20	.	.	PUNCT
fcis-18737	33	1	the	the	DET
fcis-18737	33	2	method	method	NOUN
fcis-18737	33	3	borrows	borrow	VERB
fcis-18737	33	4	the	the	DET
fcis-18737	33	5	idea	idea	NOUN
fcis-18737	33	6	of	of	ADP
fcis-18737	33	7	adding	add	VERB
fcis-18737	33	8	gaussian	gaussian	ADJ
fcis-18737	33	9	noise	noise	NOUN
fcis-18737	33	10	in	in	ADP
fcis-18737	33	11	the	the	DET
fcis-18737	33	12	eemd	eemd	NOUN
fcis-18737	33	13	method	method	NOUN
fcis-18737	33	14	and	and	CCONJ
fcis-18737	33	15	canceling	cancel	VERB
fcis-18737	33	16	7	7	NUM
fcis-18737	33	17	the	the	DET
fcis-18737	33	18	noise	noise	NOUN
fcis-18737	33	19	through	through	ADP
fcis-18737	33	20	multiple	multiple	ADJ
fcis-18737	33	21	superpositions	superposition	NOUN
fcis-18737	33	22	and	and	CCONJ
fcis-18737	33	23	averages	average	NOUN
fcis-18737	33	24	.	.	PUNCT
fcis-18737	34	1	after	after	ADP
fcis-18737	34	2	the	the	DET
fcis-18737	34	3	first	first	ADJ
fcis-18737	34	4	-	-	PUNCT
fcis-18737	34	5	order	order	NOUN
fcis-18737	34	6	imf	imf	PROPN
fcis-18737	34	7	component	component	NOUN
fcis-18737	34	8	,	,	PUNCT
fcis-18737	34	9	the	the	DET
fcis-18737	34	10	overall	overall	ADJ
fcis-18737	34	11	average	average	ADJ
fcis-18737	34	12	calculation	calculation	NOUN
fcis-18737	34	13	is	be	AUX
fcis-18737	34	14	performed	perform	VERB
fcis-18737	34	15	,	,	PUNCT
fcis-18737	34	16	and	and	CCONJ
fcis-18737	34	17	the	the	DET
fcis-18737	34	18	imf	imf	PROPN
fcis-18737	34	19	component	component	NOUN
fcis-18737	34	20	containing	contain	VERB
fcis-18737	34	21	auxiliary	auxiliary	ADJ
fcis-18737	34	22	noise	noise	NOUN
fcis-18737	34	23	after	after	SCONJ
fcis-18737	34	24	emd	emd	PROPN
fcis-18737	34	25	decomposition	decomposition	NOUN
fcis-18737	34	26	is	be	AUX
fcis-18737	34	27	added	add	VERB
fcis-18737	34	28	,	,	PUNCT
fcis-18737	34	29	and	and	CCONJ
fcis-18737	34	30	the	the	DET
fcis-18737	34	31	third	third	ADJ
fcis-18737	34	32	-	-	PUNCT
fcis-18737	34	33	order	order	NOUN
fcis-18737	34	34	imf	imf	PROPN
fcis-18737	34	35	component	component	NOUN
fcis-18737	34	36	is	be	AUX
fcis-18737	34	37	obtained	obtain	VERB
fcis-18737	34	38	.	.	PUNCT
fcis-18737	35	1	after	after	ADP
fcis-18737	35	2	the	the	DET
fcis-18737	35	3	first	first	ADJ
fcis-18737	35	4	-	-	PUNCT
fcis-18737	35	5	order	order	NOUN
fcis-18737	35	6	imf	imf	PROPN
fcis-18737	35	7	component	component	NOUN
fcis-18737	35	8	,	,	PUNCT
fcis-18737	35	9	the	the	DET
fcis-18737	35	10	overall	overall	ADJ
fcis-18737	35	11	average	average	ADJ
fcis-18737	35	12	calculation	calculation	NOUN
fcis-18737	35	13	is	be	AUX
fcis-18737	35	14	performed	perform	VERB
fcis-18737	35	15	to	to	PART
fcis-18737	35	16	obtain	obtain	VERB
fcis-18737	35	17	the	the	DET
fcis-18737	35	18	final	final	ADJ
fcis-18737	35	19	first	first	ADJ
fcis-18737	35	20	-	-	PUNCT
fcis-18737	35	21	order	order	NOUN
fcis-18737	35	22	imf	imf	PROPN
fcis-18737	35	23	component	component	NOUN
fcis-18737	35	24	,	,	PUNCT
fcis-18737	35	25	and	and	CCONJ
fcis-18737	35	26	then	then	ADV
fcis-18737	35	27	the	the	DET
fcis-18737	35	28	above	above	ADJ
fcis-18737	35	29	operation	operation	NOUN
fcis-18737	35	30	is	be	AUX
fcis-18737	35	31	repeated	repeat	VERB
fcis-18737	35	32	for	for	ADP
fcis-18737	35	33	the	the	DET
fcis-18737	35	34	remaining	remain	VERB
fcis-18737	35	35	part	part	NOUN
fcis-18737	35	36	.	.	PUNCT
fcis-18737	36	1	ceemdan	ceemdan	PROPN
fcis-18737	36	2	reduces	reduce	VERB
fcis-18737	36	3	the	the	DET
fcis-18737	36	4	number	number	NOUN
fcis-18737	36	5	of	of	ADP
fcis-18737	36	6	screenings	screening	NOUN
fcis-18737	36	7	and	and	CCONJ
fcis-18737	36	8	effectively	effectively	ADV
fcis-18737	36	9	solves	solve	VERB
fcis-18737	36	10	the	the	DET
fcis-18737	36	11	problem	problem	NOUN
fcis-18737	36	12	of	of	ADP
fcis-18737	36	13	white	white	ADJ
fcis-18737	36	14	noise	noise	NOUN
fcis-18737	36	15	transfer	transfer	NOUN
fcis-18737	36	16	from	from	ADP
fcis-18737	36	17	high	high	ADJ
fcis-18737	36	18	frequency	frequency	NOUN
fcis-18737	36	19	to	to	ADP
fcis-18737	36	20	low	low	ADJ
fcis-18737	36	21	frequency	frequency	NOUN
fcis-18737	36	22	[	[	X
fcis-18737	36	23	19	19	NUM
fcis-18737	36	24	]	]	PUNCT
fcis-18737	36	25	.	.	PUNCT
fcis-18737	37	1	ceemdan	ceemdan	PROPN
fcis-18737	37	2	steps	step	NOUN
fcis-18737	37	3	are	be	AUX
fcis-18737	37	4	as	as	SCONJ
fcis-18737	37	5	follows	follow	VERB
fcis-18737	37	6	:	:	PUNCT
fcis-18737	37	7	1	1	X
fcis-18737	37	8	.	.	X
fcis-18737	37	9	add	add	VERB
fcis-18737	37	10	white	white	ADJ
fcis-18737	37	11	noise	noise	NOUN
fcis-18737	37	12	to	to	PART
fcis-18737	37	13	realize	realize	VERB
fcis-18737	37	14	,	,	PUNCT
fcis-18737	37	15	where	where	SCONJ
fcis-18737	37	16	0.02	0.02	NUM
fcis-18737	37	17	is	be	AUX
fcis-18737	37	18	the	the	DET
fcis-18737	37	19	standard	standard	ADJ
fcis-18737	37	20	error	error	NOUN
fcis-18737	37	21	,	,	PUNCT
fcis-18737	37	22	and	and	CCONJ
fcis-18737	37	23	the	the	DET
fcis-18737	37	24	first	first	ADJ
fcis-18737	37	25	modal	modal	NOUN
fcis-18737	37	26	component	component	NOUN
fcis-18737	37	27	obtained	obtain	VERB
fcis-18737	37	28	through	through	ADP
fcis-18737	37	29	emd	emd	PROPN
fcis-18737	37	30	decomposition	decomposition	NOUN
fcis-18737	37	31	is	be	AUX
fcis-18737	37	32	:	:	PUNCT
fcis-18737	37	33	∑	∑	PUNCT
fcis-18737	37	34	(	(	PUNCT
fcis-18737	37	35	1	1	NUM
fcis-18737	37	36	)	)	PUNCT
fcis-18737	37	37	2	2	NUM
fcis-18737	37	38	.	.	PUNCT
fcis-18737	38	1	at	at	ADP
fcis-18737	38	2	the	the	DET
fcis-18737	38	3	first	first	ADJ
fcis-18737	38	4	time	time	NOUN
fcis-18737	38	5	1	1	NUM
fcis-18737	38	6	,	,	PUNCT
fcis-18737	38	7	calculate	calculate	VERB
fcis-18737	38	8	the	the	DET
fcis-18737	38	9	first	first	ADJ
fcis-18737	38	10	residual	residual	NOUN
fcis-18737	38	11	,	,	PUNCT
fcis-18737	38	12	that	that	ADV
fcis-18737	38	13	is	is	ADV
fcis-18737	38	14	.	.	PUNCT
fcis-18737	39	1	3	3	X
fcis-18737	39	2	.	.	X
fcis-18737	39	3	add	add	VERB
fcis-18737	39	4	white	white	ADJ
fcis-18737	39	5	noise	noise	NOUN
fcis-18737	39	6	,	,	PUNCT
fcis-18737	39	7	emd	emd	PROPN
fcis-18737	39	8	decomposition	decomposition	NOUN
fcis-18737	39	9	,	,	PUNCT
fcis-18737	39	10	1,⋯	1,⋯	NUM
fcis-18737	39	11	,	,	PUNCT
fcis-18737	39	12	,	,	PUNCT
fcis-18737	39	13	until	until	SCONJ
fcis-18737	39	14	their	their	PRON
fcis-18737	39	15	first	first	ADJ
fcis-18737	39	16	-	-	PUNCT
fcis-18737	39	17	order	order	NOUN
fcis-18737	39	18	emd	emd	PROPN
fcis-18737	39	19	modal	modal	NOUN
fcis-18737	39	20	component	component	NOUN
fcis-18737	39	21	are	be	AUX
fcis-18737	39	22	achieved	achieve	VERB
fcis-18737	39	23	,	,	PUNCT
fcis-18737	39	24	and	and	CCONJ
fcis-18737	39	25	define	define	VERB
fcis-18737	39	26	the	the	DET
fcis-18737	39	27	second	second	ADJ
fcis-18737	39	28	emd	emd	PROPN
fcis-18737	39	29	modal	modal	NOUN
fcis-18737	39	30	component	component	NOUN
fcis-18737	39	31	as	as	ADP
fcis-18737	39	32	:	:	PUNCT
fcis-18737	39	33	∑	∑	PROPN
fcis-18737	39	34	(	(	PUNCT
fcis-18737	39	35	2	2	NUM
fcis-18737	39	36	)	)	PUNCT
fcis-18737	39	37	4	4	NUM
fcis-18737	39	38	.	.	PUNCT
fcis-18737	39	39	when	when	SCONJ
fcis-18737	39	40	2,⋯	2,⋯	NUM
fcis-18737	39	41	,	,	PUNCT
fcis-18737	39	42	,	,	PUNCT
fcis-18737	39	43	the	the	DET
fcis-18737	39	44	kth	kth	PROPN
fcis-18737	39	45	residual	residual	ADJ
fcis-18737	39	46	is	be	AUX
fcis-18737	39	47	calculated	calculate	VERB
fcis-18737	39	48	as	as	ADP
fcis-18737	39	49	:	:	PUNCT
fcis-18737	39	50	(	(	PUNCT
fcis-18737	39	51	3	3	X
fcis-18737	39	52	)	)	PUNCT
fcis-18737	39	53	5	5	NUM
fcis-18737	39	54	.	.	PUNCT
fcis-18737	39	55	add	add	VERB
fcis-18737	39	56	white	white	ADJ
fcis-18737	39	57	noise	noise	NOUN
fcis-18737	39	58	in	in	ADP
fcis-18737	39	59	sequence	sequence	NOUN
fcis-18737	39	60	,	,	PUNCT
fcis-18737	39	61	decompose	decompose	NOUN
fcis-18737	39	62	,	,	PUNCT
fcis-18737	39	63	1	1	NUM
fcis-18737	39	64	,	,	PUNCT
fcis-18737	39	65	2,⋯	2,⋯	NUM
fcis-18737	39	66	,	,	PUNCT
fcis-18737	39	67	,	,	PUNCT
fcis-18737	39	68	until	until	SCONJ
fcis-18737	39	69	their	their	PRON
fcis-18737	39	70	first	first	ADJ
fcis-18737	39	71	-	-	PUNCT
fcis-18737	39	72	order	order	NOUN
fcis-18737	39	73	emd	emd	PROPN
fcis-18737	39	74	modes	mode	NOUN
fcis-18737	39	75	are	be	AUX
fcis-18737	39	76	achieved	achieve	VERB
fcis-18737	39	77	component	component	NOUN
fcis-18737	39	78	,	,	PUNCT
fcis-18737	39	79	and	and	CCONJ
fcis-18737	39	80	define	define	VERB
fcis-18737	39	81	the	the	DET
fcis-18737	39	82	(	(	PUNCT
fcis-18737	39	83	k+1)th	k+1)th	NOUN
fcis-18737	39	84	modal	modal	NOUN
fcis-18737	39	85	component	component	NOUN
fcis-18737	39	86	as	as	ADP
fcis-18737	39	87	:	:	PUNCT
fcis-18737	39	88	∑	∑	PUNCT
fcis-18737	39	89	(	(	PUNCT
fcis-18737	39	90	4	4	NUM
fcis-18737	39	91	)	)	PUNCT
fcis-18737	39	92	6	6	NUM
fcis-18737	39	93	.	.	PUNCT
fcis-18737	39	94	repeat	repeat	NOUN
fcis-18737	39	95	step	step	NOUN
fcis-18737	39	96	4	4	NUM
fcis-18737	39	97	to	to	ADP
fcis-18737	39	98	k	k	PROPN
fcis-18737	39	99	times	time	NOUN
fcis-18737	39	100	until	until	SCONJ
fcis-18737	39	101	the	the	DET
fcis-18737	39	102	residuals	residual	NOUN
fcis-18737	39	103	can	can	AUX
fcis-18737	39	104	not	not	PART
fcis-18737	39	105	be	be	AUX
fcis-18737	39	106	decomposed	decompose	VERB
fcis-18737	39	107	.	.	PUNCT
fcis-18737	40	1	the	the	DET
fcis-18737	40	2	final	final	ADJ
fcis-18737	40	3	remaining	remaining	ADJ
fcis-18737	40	4	residual	residual	NOUN
fcis-18737	40	5	is	be	AUX
fcis-18737	40	6	:	:	PUNCT
fcis-18737	40	7	∑	∑	PUNCT
fcis-18737	40	8	(	(	PUNCT
fcis-18737	40	9	5	5	NUM
fcis-18737	40	10	)	)	PUNCT
fcis-18737	40	11	2.2	2.2	NUM
fcis-18737	40	12	.	.	PUNCT
fcis-18737	41	1	omlsa	omlsa	ADJ
fcis-18737	41	2	algorithm	algorithm	NOUN
fcis-18737	41	3	principle	principle	NOUN
fcis-18737	41	4	the	the	DET
fcis-18737	41	5	omlsa	omlsa	ADJ
fcis-18737	41	6	algorithm	algorithm	NOUN
fcis-18737	41	7	is	be	AUX
fcis-18737	41	8	a	a	DET
fcis-18737	41	9	commonly	commonly	ADV
fcis-18737	41	10	used	use	VERB
fcis-18737	41	11	single	single	ADJ
fcis-18737	41	12	-	-	PUNCT
fcis-18737	41	13	channel	channel	NOUN
fcis-18737	41	14	noise	noise	NOUN
fcis-18737	41	15	reduction	reduction	NOUN
fcis-18737	41	16	algorithm	algorithm	NOUN
fcis-18737	41	17	proposed	propose	VERB
fcis-18737	41	18	by	by	ADP
fcis-18737	41	19	cohen	cohen	PROPN
fcis-18737	42	1	[	[	X
fcis-18737	42	2	20	20	NUM
fcis-18737	42	3	]	]	PUNCT
fcis-18737	42	4	.	.	PUNCT
fcis-18737	43	1	the	the	DET
fcis-18737	43	2	algorithm	algorithm	NOUN
fcis-18737	43	3	uses	use	VERB
fcis-18737	43	4	the	the	DET
fcis-18737	43	5	minimum	minimum	NOUN
fcis-18737	43	6	controlled	control	VERB
fcis-18737	43	7	recursive	recursive	ADJ
fcis-18737	43	8	average	average	ADJ
fcis-18737	43	9	(	(	PUNCT
fcis-18737	43	10	mcra	mcra	NOUN
fcis-18737	43	11	)	)	PUNCT
fcis-18737	43	12	algorithm	algorithm	NOUN
fcis-18737	43	13	to	to	PART
fcis-18737	43	14	estimate	estimate	VERB
fcis-18737	43	15	the	the	DET
fcis-18737	43	16	prior	prior	ADJ
fcis-18737	43	17	signal	signal	NOUN
fcis-18737	43	18	-	-	PUNCT
fcis-18737	43	19	to	to	ADP
fcis-18737	43	20	-	-	PUNCT
fcis-18737	43	21	noise	noise	NOUN
fcis-18737	43	22	ratio	ratio	NOUN
fcis-18737	43	23	and	and	CCONJ
fcis-18737	43	24	posterior	posterior	ADJ
fcis-18737	43	25	signal	signal	NOUN
fcis-18737	43	26	-	-	PUNCT
fcis-18737	43	27	to	to	ADP
fcis-18737	43	28	-	-	PUNCT
fcis-18737	43	29	noise	noise	NOUN
fcis-18737	43	30	ratio	ratio	NOUN
fcis-18737	43	31	,	,	PUNCT
fcis-18737	43	32	and	and	CCONJ
fcis-18737	43	33	calculate	calculate	VERB
fcis-18737	43	34	the	the	DET
fcis-18737	43	35	speech	speech	NOUN
fcis-18737	43	36	existence	existence	NOUN
fcis-18737	43	37	probability	probability	NOUN
fcis-18737	43	38	,	,	PUNCT
fcis-18737	43	39	and	and	CCONJ
fcis-18737	43	40	then	then	ADV
fcis-18737	43	41	the	the	DET
fcis-18737	43	42	effective	effective	ADJ
fcis-18737	43	43	gain	gain	NOUN
fcis-18737	43	44	of	of	ADP
fcis-18737	43	45	the	the	DET
fcis-18737	43	46	noise	noise	NOUN
fcis-18737	43	47	is	be	AUX
fcis-18737	43	48	calculated	calculate	VERB
fcis-18737	43	49	to	to	PART
fcis-18737	43	50	achieve	achieve	VERB
fcis-18737	43	51	the	the	DET
fcis-18737	43	52	estimation	estimation	NOUN
fcis-18737	43	53	of	of	ADP
fcis-18737	43	54	the	the	DET
fcis-18737	43	55	noise	noise	NOUN
fcis-18737	43	56	.	.	PUNCT
fcis-18737	44	1	the	the	DET
fcis-18737	44	2	omlsa	omlsa	ADJ
fcis-18737	44	3	algorithm	algorithm	NOUN
fcis-18737	44	4	essentially	essentially	ADV
fcis-18737	44	5	minimizes	minimize	VERB
fcis-18737	44	6	the	the	DET
fcis-18737	44	7	logarithmic	logarithmic	ADJ
fcis-18737	44	8	spectrum	spectrum	NOUN
fcis-18737	44	9	amplitude	amplitude	NOUN
fcis-18737	44	10	[	[	X
fcis-18737	44	11	21	21	NUM
fcis-18737	44	12	]	]	X
fcis-18737	44	13	,	,	PUNCT
fcis-18737	44	14	that	that	PRON
fcis-18737	44	15	is	be	AUX
fcis-18737	44	16	:	:	PUNCT
fcis-18737	44	17			PROPN
fcis-18737	44	18			NOUN
fcis-18737	44	19	2ˆlog	2ˆlog	PROPN
fcis-18737	44	20	(	(	PUNCT
fcis-18737	44	21	,	,	PUNCT
fcis-18737	44	22	)	)	PUNCT
fcis-18737	44	23	log	log	NOUN
fcis-18737	44	24	(	(	PUNCT
fcis-18737	44	25	,	,	PUNCT
fcis-18737	44	26	)	)	PUNCT
fcis-18737	44	27	e	e	PROPN
fcis-18737	44	28	a	a	DET
fcis-18737	44	29	k	k	X
fcis-18737	44	30	l	l	NOUN
fcis-18737	44	31	a	a	DET
fcis-18737	44	32	k	k	X
fcis-18737	44	33	l	l	ADJ
fcis-18737	44	34	(	(	PUNCT
fcis-18737	44	35	6	6	NUM
fcis-18737	44	36	)	)	PUNCT
fcis-18737	44	37	where	where	SCONJ
fcis-18737	44	38	,	,	PUNCT
fcis-18737	44	39	represents	represent	VERB
fcis-18737	44	40	the	the	DET
fcis-18737	44	41	spectrum	spectrum	NOUN
fcis-18737	44	42	speech	speech	NOUN
fcis-18737	44	43	amplitude	amplitude	NOUN
fcis-18737	44	44	,	,	PUNCT
fcis-18737	44	45	and	and	CCONJ
fcis-18737	44	46	,	,	PUNCT
fcis-18737	44	47	represents	represent	VERB
fcis-18737	44	48	the	the	DET
fcis-18737	44	49	spectrum	spectrum	NOUN
fcis-18737	44	50	speech	speech	NOUN
fcis-18737	44	51	optimization	optimization	NOUN
fcis-18737	44	52	estimate	estimate	NOUN
fcis-18737	44	53	.	.	PUNCT
fcis-18737	45	1			NOUN
fcis-18737	46	1			PUNCT
fcis-18737	46	2			NOUN
fcis-18737	46	3			PROPN
fcis-18737	46	4	1	1	NUM
fcis-18737	46	5	.	.	PUNCT
fcis-18737	47	1	(	(	PUNCT
fcis-18737	47	2	,	,	PUNCT
fcis-18737	47	3	)	)	PUNCT
fcis-18737	47	4	1	1	NUM
fcis-18737	47	5	(	(	PUNCT
fcis-18737	47	6	,	,	PUNCT
fcis-18737	47	7	)	)	PUNCT
fcis-18737	47	8	min	min	NOUN
fcis-18737	48	1	ˆ	ˆ	PROPN
fcis-18737	48	2	(	(	PUNCT
fcis-18737	48	3	,	,	PUNCT
fcis-18737	48	4	)	)	PUNCT
fcis-18737	48	5	(	(	PUNCT
fcis-18737	48	6	,	,	PUNCT
fcis-18737	48	7	)	)	PUNCT
fcis-18737	48	8	(	(	PUNCT
fcis-18737	48	9	,	,	PUNCT
fcis-18737	48	10	)	)	PUNCT
fcis-18737	48	11	(	(	PUNCT
fcis-18737	48	12	,	,	PUNCT
fcis-18737	48	13	)	)	PUNCT
fcis-18737	48	14	(	(	PUNCT
fcis-18737	48	15	,	,	PUNCT
fcis-18737	48	16	)	)	PUNCT
fcis-18737	49	1	p	p	X
fcis-18737	50	1	k	k	X
fcis-18737	50	2	l	l	PROPN
fcis-18737	50	3	p	p	X
fcis-18737	50	4	k	k	PROPN
fcis-18737	50	5	l	l	NOUN
fcis-18737	51	1	ha	ha	INTJ
fcis-18737	52	1	k	k	X
fcis-18737	52	2	l	l	NOUN
fcis-18737	53	1	g	g	PROPN
fcis-18737	53	2	k	k	PROPN
fcis-18737	53	3	l	l	PROPN
fcis-18737	54	1	y	y	PROPN
fcis-18737	54	2	k	k	NOUN
fcis-18737	54	3	l	l	PROPN
fcis-18737	55	1	g	g	PROPN
fcis-18737	55	2	k	k	PROPN
fcis-18737	55	3	l	l	PROPN
fcis-18737	56	1	y	y	PROPN
fcis-18737	56	2	k	k	PROPN
fcis-18737	56	3	l	l	PROPN
fcis-18737	56	4			PROPN
fcis-18737	56	5			PROPN
fcis-18737	56	6			NOUN
fcis-18737	56	7	(	(	PUNCT
fcis-18737	56	8	7	7	NUM
fcis-18737	56	9	)	)	PUNCT
fcis-18737	56	10	where	where	SCONJ
fcis-18737	56	11	,	,	PUNCT
fcis-18737	56	12	represents	represent	VERB
fcis-18737	56	13	the	the	DET
fcis-18737	56	14	posterior	posterior	ADJ
fcis-18737	56	15	probability	probability	NOUN
fcis-18737	56	16	of	of	ADP
fcis-18737	56	17	the	the	DET
fcis-18737	56	18	presence	presence	NOUN
fcis-18737	56	19	of	of	ADP
fcis-18737	56	20	speech	speech	NOUN
fcis-18737	56	21	,	,	PUNCT
fcis-18737	56	22	,	,	PUNCT
fcis-18737	56	23	represents	represent	VERB
fcis-18737	56	24	the	the	DET
fcis-18737	56	25	conditional	conditional	ADJ
fcis-18737	56	26	gain	gain	NOUN
fcis-18737	56	27	function	function	NOUN
fcis-18737	56	28	,	,	PUNCT
fcis-18737	56	29	,	,	PUNCT
fcis-18737	56	30	represents	represent	VERB
fcis-18737	56	31	the	the	DET
fcis-18737	56	32	spectral	spectral	ADJ
fcis-18737	56	33	gain	gain	NOUN
fcis-18737	56	34	hall	hall	NOUN
fcis-18737	56	35	when	when	SCONJ
fcis-18737	56	36	speech	speech	NOUN
fcis-18737	56	37	does	do	AUX
fcis-18737	56	38	not	not	PART
fcis-18737	56	39	exist	exist	VERB
fcis-18737	56	40	,	,	PUNCT
fcis-18737	56	41	and	and	CCONJ
fcis-18737	56	42	its	its	PRON
fcis-18737	56	43	size	size	NOUN
fcis-18737	56	44	is	be	AUX
fcis-18737	56	45	depends	depend	VERB
fcis-18737	56	46	on	on	ADP
fcis-18737	56	47	subjective	subjective	ADJ
fcis-18737	56	48	standards	standard	NOUN
fcis-18737	56	49	.	.	PUNCT
fcis-18737	57	1			NOUN
fcis-18737	57	2			PROPN
fcis-18737	57	3	1	1	X
fcis-18737	57	4	.	.	PUNCT
fcis-18737	58	1	(	(	PUNCT
fcis-18737	58	2	,	,	PUNCT
fcis-18737	58	3	)	)	PUNCT
fcis-18737	58	4	(	(	PUNCT
fcis-18737	58	5	,	,	PUNCT
fcis-18737	58	6	)	)	PUNCT
fcis-18737	58	7	1	1	NUM
fcis-18737	58	8	(	(	PUNCT
fcis-18737	58	9	,	,	PUNCT
fcis-18737	58	10	)	)	PUNCT
fcis-18737	58	11	exp	exp	NOUN
fcis-18737	58	12	1	1	NUM
fcis-18737	58	13	(	(	PUNCT
fcis-18737	58	14	,	,	PUNCT
fcis-18737	58	15	)	)	PUNCT
fcis-18737	58	16	2	2	NUM
fcis-18737	58	17	(	(	PUNCT
fcis-18737	58	18	,	,	PUNCT
fcis-18737	58	19	)	)	PUNCT
fcis-18737	58	20	(	(	PUNCT
fcis-18737	58	21	,	,	PUNCT
fcis-18737	58	22	)	)	PUNCT
fcis-18737	58	23	1	1	NUM
fcis-18737	58	24	1	1	NUM
fcis-18737	58	25	(	(	PUNCT
fcis-18737	58	26	,	,	PUNCT
fcis-18737	58	27	)	)	PUNCT
fcis-18737	58	28	exp	exp	NOUN
fcis-18737	58	29	(	(	PUNCT
fcis-18737	58	30	(	(	PUNCT
fcis-18737	58	31	,	,	PUNCT
fcis-18737	58	32	)	)	PUNCT
fcis-18737	58	33	)	)	PUNCT
fcis-18737	58	34	1	1	NUM
fcis-18737	58	35	(	(	PUNCT
fcis-18737	58	36	,	,	PUNCT
fcis-18737	58	37	)	)	PUNCT
fcis-18737	58	38	(	(	PUNCT
fcis-18737	58	39	,	,	PUNCT
fcis-18737	58	40	)	)	PUNCT
fcis-18737	58	41	(	(	PUNCT
fcis-18737	58	42	,	,	PUNCT
fcis-18737	58	43	)	)	PUNCT
fcis-18737	58	44	(	(	PUNCT
fcis-18737	58	45	,	,	PUNCT
fcis-18737	58	46	)	)	PUNCT
fcis-18737	58	47	1	1	NUM
fcis-18737	58	48	(	(	PUNCT
fcis-18737	58	49	,	,	PUNCT
fcis-18737	58	50	)	)	PUNCT
fcis-18737	58	51	t	t	PROPN
fcis-18737	58	52	h	h	NOUN
fcis-18737	59	1	v	v	PROPN
fcis-18737	59	2	k	k	PROPN
fcis-18737	59	3	t	t	PROPN
fcis-18737	59	4	k	k	X
fcis-18737	59	5	l	l	PROPN
fcis-18737	59	6	e	e	X
fcis-18737	59	7	g	g	PROPN
fcis-18737	59	8	k	k	PROPN
fcis-18737	59	9	l	l	NOUN
fcis-18737	59	10	dt	dt	X
fcis-18737	60	1	k	k	X
fcis-18737	60	2	l	l	PROPN
fcis-18737	60	3	t	t	PROPN
fcis-18737	60	4	q	q	PROPN
fcis-18737	61	1	k	k	NOUN
fcis-18737	61	2	l	l	PROPN
fcis-18737	61	3	p	p	X
fcis-18737	62	1	k	k	PROPN
fcis-18737	62	2	l	l	PROPN
fcis-18737	62	3	k	k	PROPN
fcis-18737	62	4	l	l	NOUN
fcis-18737	62	5	v	v	X
fcis-18737	62	6	k	k	PROPN
fcis-18737	62	7	l	l	NOUN
fcis-18737	62	8	q	q	PROPN
fcis-18737	63	1	k	k	NOUN
fcis-18737	63	2	l	l	NOUN
fcis-18737	63	3	k	k	X
fcis-18737	64	1	l	l	PUNCT
fcis-18737	64	2	k	k	X
fcis-18737	64	3	l	l	NOUN
fcis-18737	64	4	v	v	X
fcis-18737	65	1	k	k	PROPN
fcis-18737	65	2	l	l	NOUN
fcis-18737	65	3	k	k	X
fcis-18737	66	1	l	l	NOUN
fcis-18737	66	2			NOUN
fcis-18737	66	3			NOUN
fcis-18737	66	4			NOUN
fcis-18737	66	5			NUM
fcis-18737	66	6			NOUN
fcis-18737	66	7			VERB
fcis-18737	66	8			NOUN
fcis-18737	66	9			PROPN
fcis-18737	66	10			PROPN
fcis-18737	67	1			PROPN
fcis-18737	67	2			PROPN
fcis-18737	68	1			PROPN
fcis-18737	68	2			PROPN
fcis-18737	68	3			NOUN
fcis-18737	68	4			PROPN
fcis-18737	68	5			PROPN
fcis-18737	68	6			ADV
fcis-18737	68	7			VERB
fcis-18737	68	8			PROPN
fcis-18737	68	9			PROPN
fcis-18737	68	10			PROPN
fcis-18737	68	11			NOUN
fcis-18737	68	12			NUM
fcis-18737	68	13			ADJ
fcis-18737	68	14			X
fcis-18737	68	15	(	(	PUNCT
fcis-18737	68	16	8)	8)	NUM
fcis-18737	68	17	where	where	SCONJ
fcis-18737	68	18	,	,	PUNCT
fcis-18737	68	19	represents	represent	VERB
fcis-18737	68	20	the	the	DET
fcis-18737	68	21	prior	prior	ADJ
fcis-18737	68	22	signal	signal	NOUN
fcis-18737	68	23	-	-	PUNCT
fcis-18737	68	24	to	to	ADP
fcis-18737	68	25	-	-	PUNCT
fcis-18737	68	26	noise	noise	NOUN
fcis-18737	68	27	ratio	ratio	NOUN
fcis-18737	68	28	,	,	PUNCT
fcis-18737	68	29	and	and	CCONJ
fcis-18737	68	30	γ	γ	NOUN
fcis-18737	68	31	,	,	PUNCT
fcis-18737	68	32	represents	represent	VERB
fcis-18737	68	33	the	the	DET
fcis-18737	68	34	posterior	posterior	ADJ
fcis-18737	68	35	signal	signal	NOUN
fcis-18737	68	36	-	-	PUNCT
fcis-18737	68	37	to	to	ADP
fcis-18737	68	38	-	-	PUNCT
fcis-18737	68	39	noise	noise	NOUN
fcis-18737	68	40	ratio	ratio	NOUN
fcis-18737	68	41	.	.	PUNCT
fcis-18737	69	1	2.3	2.3	NUM
fcis-18737	69	2	.	.	PUNCT
fcis-18737	70	1	kalman	kalman	NOUN
fcis-18737	70	2	filter	filter	PROPN
fcis-18737	70	3	algorithm	algorithm	PROPN
fcis-18737	70	4	principle	principle	VERB
fcis-18737	70	5	the	the	DET
fcis-18737	70	6	kalman	kalman	PROPN
fcis-18737	70	7	filter	filter	NOUN
fcis-18737	70	8	algorithm	algorithm	PROPN
fcis-18737	70	9	is	be	AUX
fcis-18737	70	10	a	a	DET
fcis-18737	70	11	relatively	relatively	ADV
fcis-18737	70	12	classic	classic	ADJ
fcis-18737	70	13	estimation	estimation	NOUN
fcis-18737	70	14	algorithm	algorithm	NOUN
fcis-18737	70	15	.	.	PUNCT
fcis-18737	71	1	it	it	PRON
fcis-18737	71	2	is	be	AUX
fcis-18737	71	3	an	an	DET
fcis-18737	71	4	algorithm	algorithm	NOUN
fcis-18737	71	5	that	that	PRON
fcis-18737	71	6	uses	use	VERB
fcis-18737	71	7	the	the	DET
fcis-18737	71	8	minimum	minimum	ADJ
fcis-18737	71	9	mean	mean	NOUN
fcis-18737	71	10	square	square	NOUN
fcis-18737	71	11	error	error	NOUN
fcis-18737	71	12	as	as	ADP
fcis-18737	71	13	the	the	DET
fcis-18737	71	14	best	good	ADJ
fcis-18737	71	15	criterion	criterion	NOUN
fcis-18737	71	16	for	for	ADP
fcis-18737	71	17	estimation	estimation	NOUN
fcis-18737	71	18	to	to	PART
fcis-18737	71	19	find	find	VERB
fcis-18737	71	20	a	a	DET
fcis-18737	71	21	set	set	NOUN
fcis-18737	71	22	of	of	ADP
fcis-18737	71	23	recursive	recursive	ADJ
fcis-18737	71	24	estimation	estimation	NOUN
fcis-18737	71	25	algorithms	algorithm	NOUN
fcis-18737	71	26	[	[	X
fcis-18737	71	27	22	22	NUM
fcis-18737	71	28	]	]	PUNCT
fcis-18737	71	29	.	.	PUNCT
fcis-18737	72	1	the	the	DET
fcis-18737	72	2	algorithm	algorithm	NOUN
fcis-18737	72	3	uses	use	VERB
fcis-18737	72	4	the	the	DET
fcis-18737	72	5	state	state	NOUN
fcis-18737	72	6	space	space	NOUN
fcis-18737	72	7	model	model	NOUN
fcis-18737	72	8	of	of	ADP
fcis-18737	72	9	signal	signal	NOUN
fcis-18737	72	10	and	and	CCONJ
fcis-18737	72	11	noise	noise	NOUN
fcis-18737	72	12	,	,	PUNCT
fcis-18737	72	13	uses	use	VERB
fcis-18737	72	14	the	the	DET
fcis-18737	72	15	estimated	estimate	VERB
fcis-18737	72	16	value	value	NOUN
fcis-18737	72	17	at	at	ADP
fcis-18737	72	18	the	the	DET
fcis-18737	72	19	previous	previous	ADJ
fcis-18737	72	20	moment	moment	NOUN
fcis-18737	72	21	and	and	CCONJ
fcis-18737	72	22	the	the	DET
fcis-18737	72	23	observed	observe	VERB
fcis-18737	72	24	value	value	NOUN
fcis-18737	72	25	at	at	ADP
fcis-18737	72	26	the	the	DET
fcis-18737	72	27	current	current	ADJ
fcis-18737	72	28	moment	moment	NOUN
fcis-18737	72	29	to	to	PART
fcis-18737	72	30	update	update	VERB
fcis-18737	72	31	the	the	DET
fcis-18737	72	32	estimate	estimate	NOUN
fcis-18737	72	33	of	of	ADP
fcis-18737	72	34	the	the	DET
fcis-18737	72	35	state	state	NOUN
fcis-18737	72	36	variable	variable	NOUN
fcis-18737	72	37	,	,	PUNCT
fcis-18737	72	38	and	and	CCONJ
fcis-18737	72	39	obtain	obtain	VERB
fcis-18737	72	40	the	the	DET
fcis-18737	72	41	estimated	estimate	VERB
fcis-18737	72	42	value	value	NOUN
fcis-18737	72	43	at	at	ADP
fcis-18737	72	44	the	the	DET
fcis-18737	72	45	current	current	ADJ
fcis-18737	72	46	moment	moment	NOUN
fcis-18737	72	47	.	.	PUNCT
fcis-18737	73	1	the	the	DET
fcis-18737	73	2	classic	classic	ADJ
fcis-18737	73	3	kalman	kalman	NOUN
fcis-18737	73	4	filter	filter	NOUN
fcis-18737	73	5	algorithm	algorithm	PROPN
fcis-18737	73	6	consists	consist	VERB
fcis-18737	73	7	of	of	ADP
fcis-18737	73	8	five	five	NUM
fcis-18737	73	9	formulas	formula	NOUN
fcis-18737	73	10	,	,	PUNCT
fcis-18737	73	11	the	the	DET
fcis-18737	73	12	formulas	formula	NOUN
fcis-18737	73	13	are	be	AUX
fcis-18737	73	14	as	as	SCONJ
fcis-18737	73	15	follows	follow	VERB
fcis-18737	73	16	:	:	PUNCT
fcis-18737	73	17	predict	predict	VERB
fcis-18737	73	18	the	the	DET
fcis-18737	73	19	equation	equation	NOUN
fcis-18737	73	20	of	of	ADP
fcis-18737	73	21	state	state	NOUN
fcis-18737	73	22	:	:	PUNCT
fcis-18737	73	23	1	1	NUM
fcis-18737	73	24	1	1	NUM
fcis-18737	73	25	ˆ	ˆ	NOUN
fcis-18737	73	26	ˆt	ˆt	ADP
fcis-18737	73	27	t	t	PROPN
fcis-18737	73	28	t	t	PROPN
fcis-18737	73	29	t	t	PROPN
fcis-18737	73	30	t	t	NOUN
fcis-18737	73	31	x	x	PUNCT
fcis-18737	73	32	ax	ax	NOUN
fcis-18737	73	33	bu	bu	ADP
fcis-18737	73	34	p	p	PROPN
fcis-18737	73	35	ap	ap	PROPN
fcis-18737	73	36	a	a	DET
fcis-18737	73	37	q	q	PUNCT
fcis-18737	73	38			PROPN
fcis-18737	73	39			PROPN
fcis-18737	73	40			PROPN
fcis-18737	73	41			PROPN
fcis-18737	73	42			NUM
fcis-18737	73	43			ADJ
fcis-18737	73	44			NUM
fcis-18737	73	45			X
fcis-18737	73	46	(	(	PUNCT
fcis-18737	73	47	9	9	NUM
fcis-18737	73	48	)	)	PUNCT
fcis-18737	73	49	where	where	SCONJ
fcis-18737	73	50	is	be	AUX
fcis-18737	73	51	the	the	DET
fcis-18737	73	52	state	state	NOUN
fcis-18737	73	53	prediction	prediction	NOUN
fcis-18737	73	54	value	value	NOUN
fcis-18737	73	55	,	,	PUNCT
fcis-18737	73	56	and	and	CCONJ
fcis-18737	73	57	is	be	AUX
fcis-18737	73	58	the	the	DET
fcis-18737	73	59	state	state	NOUN
fcis-18737	73	60	estimate	estimate	NOUN
fcis-18737	73	61	value	value	NOUN
fcis-18737	73	62	.	.	PUNCT
fcis-18737	74	1	a	a	PRON
fcis-18737	74	2	is	be	AUX
fcis-18737	74	3	called	call	VERB
fcis-18737	74	4	the	the	DET
fcis-18737	74	5	transformation	transformation	NOUN
fcis-18737	74	6	matrix	matrix	NOUN
fcis-18737	74	7	,	,	PUNCT
fcis-18737	74	8	b	b	PROPN
fcis-18737	74	9	is	be	AUX
fcis-18737	74	10	called	call	VERB
fcis-18737	74	11	the	the	DET
fcis-18737	74	12	control	control	NOUN
fcis-18737	74	13	matrix	matrix	NOUN
fcis-18737	74	14	,	,	PUNCT
fcis-18737	74	15	and	and	CCONJ
fcis-18737	74	16	u	u	NOUN
fcis-18737	74	17	is	be	AUX
fcis-18737	74	18	the	the	DET
fcis-18737	74	19	system	system	NOUN
fcis-18737	74	20	input	input	NOUN
fcis-18737	74	21	at	at	ADP
fcis-18737	74	22	the	the	DET
fcis-18737	74	23	current	current	ADJ
fcis-18737	74	24	moment	moment	NOUN
fcis-18737	74	25	.	.	PUNCT
fcis-18737	75	1	,	,	PUNCT
fcis-18737	75	2	are	be	AUX
fcis-18737	75	3	the	the	DET
fcis-18737	75	4	covariance	covariance	NOUN
fcis-18737	75	5	matrices	matrix	NOUN
fcis-18737	75	6	of	of	ADP
fcis-18737	75	7	the	the	DET
fcis-18737	75	8	a	a	DET
fcis-18737	75	9	priori	priori	ADJ
fcis-18737	75	10	error	error	NOUN
fcis-18737	75	11	and	and	CCONJ
fcis-18737	75	12	the	the	DET
fcis-18737	75	13	posterior	posterior	ADJ
fcis-18737	75	14	error	error	NOUN
fcis-18737	75	15	respectively	respectively	ADV
fcis-18737	75	16	,	,	PUNCT
fcis-18737	75	17	q	q	PUNCT
fcis-18737	75	18	is	be	AUX
fcis-18737	75	19	gaussian	gaussian	ADJ
fcis-18737	75	20	noise	noise	NOUN
fcis-18737	75	21	with	with	ADP
fcis-18737	75	22	a	a	DET
fcis-18737	75	23	mean	mean	ADJ
fcis-18737	75	24	value	value	NOUN
fcis-18737	75	25	of	of	ADP
fcis-18737	75	26	0	0	NUM
fcis-18737	75	27	and	and	CCONJ
fcis-18737	75	28	a	a	DET
fcis-18737	75	29	covariance	covariance	NOUN
fcis-18737	75	30	matrix	matrix	NOUN
fcis-18737	75	31	of	of	ADP
fcis-18737	75	32	q.	q.	PROPN
fcis-18737	75	33	update	update	NOUN
fcis-18737	75	34	equation	equation	NOUN
fcis-18737	75	35	:	:	PUNCT
fcis-18737	75	36			NOUN
fcis-18737	75	37			SYM
fcis-18737	75	38			NOUN
fcis-18737	75	39			PUNCT
fcis-18737	75	40			NOUN
fcis-18737	75	41			PROPN
fcis-18737	75	42	1	1	NUM
fcis-18737	75	43	ˆ	ˆ	NOUN
fcis-18737	76	1	ˆ	ˆ	PROPN
fcis-18737	76	2	ˆt	ˆt	ADP
fcis-18737	76	3	t	t	PROPN
fcis-18737	76	4	t	t	PROPN
fcis-18737	76	5	t	t	PROPN
fcis-18737	76	6	t	t	PROPN
fcis-18737	76	7	t	t	PROPN
fcis-18737	76	8	t	t	PROPN
fcis-18737	76	9	t	t	PROPN
fcis-18737	76	10	t	t	PROPN
fcis-18737	76	11	t	t	PROPN
fcis-18737	76	12	t	t	PROPN
fcis-18737	76	13	t	t	PROPN
fcis-18737	76	14	t	t	PROPN
fcis-18737	76	15	x	x	PUNCT
fcis-18737	76	16	x	x	PUNCT
fcis-18737	76	17	k	k	PROPN
fcis-18737	76	18	z	z	NOUN
fcis-18737	76	19	hx	hx	PROPN
fcis-18737	77	1	p	p	NOUN
fcis-18737	78	1	i	i	PRON
fcis-18737	78	2	k	k	PROPN
fcis-18737	79	1	h	h	NOUN
fcis-18737	80	1	p	p	NOUN
fcis-18737	80	2	k	k	PROPN
fcis-18737	81	1	p	p	X
fcis-18737	81	2	h	h	NOUN
fcis-18737	81	3	hp	hp	PROPN
fcis-18737	81	4	h	h	PROPN
fcis-18737	81	5	r	r	PROPN
fcis-18737	81	6			PROPN
fcis-18737	81	7			PROPN
fcis-18737	81	8			NOUN
fcis-18737	81	9			PUNCT
fcis-18737	81	10			PROPN
fcis-18737	81	11			PRON
fcis-18737	81	12			ADV
fcis-18737	81	13			PROPN
fcis-18737	81	14			PROPN
fcis-18737	81	15			PROPN
fcis-18737	81	16			PRON
fcis-18737	81	17			PUNCT
fcis-18737	81	18	(	(	PUNCT
fcis-18737	81	19	10	10	NUM
fcis-18737	81	20	)	)	PUNCT
fcis-18737	81	21	where	where	SCONJ
fcis-18737	81	22	becomes	become	VERB
fcis-18737	81	23	the	the	DET
fcis-18737	81	24	kalman	kalman	NOUN
fcis-18737	81	25	gain	gain	NOUN
fcis-18737	81	26	,	,	PUNCT
fcis-18737	81	27	is	be	AUX
fcis-18737	81	28	the	the	DET
fcis-18737	81	29	measurement	measurement	NOUN
fcis-18737	81	30	value	value	NOUN
fcis-18737	81	31	at	at	ADP
fcis-18737	81	32	the	the	DET
fcis-18737	81	33	current	current	ADJ
fcis-18737	81	34	moment	moment	NOUN
fcis-18737	81	35	,	,	PUNCT
fcis-18737	81	36	h	h	NOUN
fcis-18737	81	37	is	be	AUX
fcis-18737	81	38	called	call	VERB
fcis-18737	81	39	the	the	DET
fcis-18737	81	40	measurement	measurement	NOUN
fcis-18737	81	41	matrix	matrix	NOUN
fcis-18737	81	42	,	,	PUNCT
fcis-18737	81	43	and	and	CCONJ
fcis-18737	81	44	r	r	NOUN
fcis-18737	81	45	is	be	AUX
fcis-18737	81	46	gaussian	gaussian	ADJ
fcis-18737	81	47	noise	noise	NOUN
fcis-18737	81	48	with	with	ADP
fcis-18737	81	49	a	a	DET
fcis-18737	81	50	mean	mean	NOUN
fcis-18737	81	51	of	of	ADP
fcis-18737	81	52	0	0	NUM
fcis-18737	81	53	and	and	CCONJ
fcis-18737	81	54	a	a	DET
fcis-18737	81	55	covariance	covariance	NOUN
fcis-18737	81	56	of	of	ADP
fcis-18737	81	57	r.	r.	PROPN
fcis-18737	81	58	2.4	2.4	NUM
fcis-18737	81	59	.	.	PUNCT
fcis-18737	82	1	high	high	ADJ
fcis-18737	82	2	and	and	CCONJ
fcis-18737	82	3	low	low	ADJ
fcis-18737	82	4	frequency	frequency	NOUN
fcis-18737	82	5	filtering	filtering	NOUN
fcis-18737	82	6	and	and	CCONJ
fcis-18737	82	7	noise	noise	NOUN
fcis-18737	82	8	reduction	reduction	NOUN
fcis-18737	82	9	algorithm	algorithm	NOUN
fcis-18737	82	10	based	base	VERB
fcis-18737	82	11	on	on	ADP
fcis-18737	82	12	ceemdan	ceemdan	PROPN
fcis-18737	82	13	the	the	DET
fcis-18737	82	14	flow	flow	NOUN
fcis-18737	82	15	chart	chart	NOUN
fcis-18737	82	16	of	of	ADP
fcis-18737	82	17	the	the	DET
fcis-18737	82	18	noise	noise	NOUN
fcis-18737	82	19	reduction	reduction	NOUN
fcis-18737	82	20	algorithm	algorithm	NOUN
fcis-18737	82	21	based	base	VERB
fcis-18737	82	22	on	on	ADP
fcis-18737	82	23	ceemdan	ceemdan	PROPN
fcis-18737	82	24	high	high	ADJ
fcis-18737	82	25	and	and	CCONJ
fcis-18737	82	26	low	low	ADJ
fcis-18737	82	27	frequency	frequency	NOUN
fcis-18737	82	28	filtering	filtering	NOUN
fcis-18737	82	29	is	be	AUX
fcis-18737	82	30	shown	show	VERB
fcis-18737	82	31	in	in	ADP
fcis-18737	82	32	figure	figure	NOUN
fcis-18737	82	33	1	1	NUM
fcis-18737	82	34	.	.	PUNCT
fcis-18737	83	1	the	the	DET
fcis-18737	83	2	specific	specific	ADJ
fcis-18737	83	3	algorithm	algorithm	NOUN
fcis-18737	83	4	is	be	AUX
fcis-18737	83	5	described	describe	VERB
fcis-18737	83	6	as	as	SCONJ
fcis-18737	83	7	follows	follow	VERB
fcis-18737	83	8	:	:	PUNCT
fcis-18737	83	9	(	(	PUNCT
fcis-18737	83	10	1	1	X
fcis-18737	83	11	)	)	PUNCT
fcis-18737	83	12	use	use	VERB
fcis-18737	83	13	the	the	DET
fcis-18737	83	14	omlsa	omlsa	ADJ
fcis-18737	83	15	algorithm	algorithm	NOUN
fcis-18737	83	16	to	to	PART
fcis-18737	83	17	filter	filter	VERB
fcis-18737	83	18	out	out	ADP
fcis-18737	83	19	the	the	DET
fcis-18737	83	20	environmental	environmental	ADJ
fcis-18737	83	21	noise	noise	NOUN
fcis-18737	83	22	of	of	ADP
fcis-18737	83	23	the	the	DET
fcis-18737	83	24	original	original	ADJ
fcis-18737	83	25	signal	signal	NOUN
fcis-18737	83	26	of	of	ADP
fcis-18737	83	27	the	the	DET
fcis-18737	83	28	equipment	equipment	NOUN
fcis-18737	83	29	train	train	NOUN
fcis-18737	83	30	before	before	ADP
fcis-18737	83	31	ceemdan	ceemdan	ADJ
fcis-18737	83	32	decomposition	decomposition	NOUN
fcis-18737	83	33	.	.	PUNCT
fcis-18737	84	1	(	(	PUNCT
fcis-18737	84	2	2	2	X
fcis-18737	84	3	)	)	PUNCT
fcis-18737	84	4	decompose	decompose	VERB
fcis-18737	84	5	the	the	DET
fcis-18737	84	6	noisy	noisy	ADJ
fcis-18737	84	7	signal	signal	NOUN
fcis-18737	84	8	in	in	ADP
fcis-18737	84	9	step	step	NOUN
fcis-18737	84	10	1	1	NUM
fcis-18737	84	11	into	into	ADP
fcis-18737	84	12	imfs	imfs	PROPN
fcis-18737	84	13	components	component	NOUN
fcis-18737	84	14	of	of	ADP
fcis-18737	84	15	n	n	PRON
fcis-18737	84	16	frequency	frequency	NOUN
fcis-18737	84	17	domain	domain	NOUN
fcis-18737	84	18	segments	segment	NOUN
fcis-18737	84	19	through	through	ADP
fcis-18737	84	20	ceemdan	ceemdan	PROPN
fcis-18737	84	21	.	.	PUNCT
fcis-18737	85	1	(	(	PUNCT
fcis-18737	85	2	3	3	X
fcis-18737	85	3	)	)	PUNCT
fcis-18737	85	4	perform	perform	VERB
fcis-18737	85	5	hht	hht	PROPN
fcis-18737	85	6	on	on	ADP
fcis-18737	85	7	all	all	DET
fcis-18737	85	8	imfs	imfs	NOUN
fcis-18737	85	9	components	component	NOUN
fcis-18737	85	10	and	and	CCONJ
fcis-18737	85	11	calculate	calculate	VERB
fcis-18737	85	12	the	the	DET
fcis-18737	85	13	instantaneous	instantaneous	ADJ
fcis-18737	85	14	frequency	frequency	NOUN
fcis-18737	85	15	and	and	CCONJ
fcis-18737	85	16	instantaneous	instantaneous	ADJ
fcis-18737	85	17	amplitude	amplitude	NOUN
fcis-18737	85	18	of	of	ADP
fcis-18737	85	19	all	all	DET
fcis-18737	85	20	components	component	NOUN
fcis-18737	85	21	.	.	PUNCT
fcis-18737	86	1	(	(	PUNCT
fcis-18737	86	2	4	4	X
fcis-18737	86	3	)	)	PUNCT
fcis-18737	86	4	calculate	calculate	NOUN
fcis-18737	86	5	and	and	CCONJ
fcis-18737	86	6	normalize	normalize	VERB
fcis-18737	86	7	the	the	DET
fcis-18737	86	8	euclidean	euclidean	ADJ
fcis-18737	86	9	distance	distance	NOUN
fcis-18737	86	10	between	between	ADP
fcis-18737	86	11	imfs	imfs	PROPN
fcis-18737	86	12	components	component	NOUN
fcis-18737	86	13	,	,	PUNCT
fcis-18737	86	14	calculate	calculate	VERB
fcis-18737	86	15	the	the	DET
fcis-18737	86	16	average	average	ADJ
fcis-18737	86	17	distance	distance	NOUN
fcis-18737	86	18	between	between	ADP
fcis-18737	86	19	imf	imf	PROPN
fcis-18737	86	20	components	component	NOUN
fcis-18737	86	21	,	,	PUNCT
fcis-18737	86	22	and	and	CCONJ
fcis-18737	86	23	adaptively	adaptively	ADV
fcis-18737	86	24	divide	divide	VERB
fcis-18737	86	25	the	the	DET
fcis-18737	86	26	imfs	imfs	NOUN
fcis-18737	86	27	components	component	NOUN
fcis-18737	86	28	into	into	ADP
fcis-18737	86	29	high	high	ADJ
fcis-18737	86	30	frequency	frequency	NOUN
fcis-18737	86	31	and	and	CCONJ
fcis-18737	86	32	low	low	ADJ
fcis-18737	86	33	frequency	frequency	NOUN
fcis-18737	86	34	.	.	PUNCT
fcis-18737	87	1	(	(	PUNCT
fcis-18737	87	2	5	5	X
fcis-18737	87	3	)	)	PUNCT
fcis-18737	87	4	use	use	VERB
fcis-18737	87	5	the	the	DET
fcis-18737	87	6	omlsa	omlsa	ADJ
fcis-18737	87	7	algorithm	algorithm	NOUN
fcis-18737	87	8	to	to	PART
fcis-18737	87	9	reduce	reduce	VERB
fcis-18737	87	10	noise	noise	NOUN
fcis-18737	87	11	for	for	ADP
fcis-18737	87	12	high	high	ADJ
fcis-18737	87	13	8	8	NUM
fcis-18737	87	14	frequency	frequency	NOUN
fcis-18737	87	15	imf	imf	PROPN
fcis-18737	87	16	components	component	NOUN
fcis-18737	87	17	,	,	PUNCT
fcis-18737	87	18	and	and	CCONJ
fcis-18737	87	19	use	use	VERB
fcis-18737	87	20	kalman	kalman	NOUN
fcis-18737	87	21	filtering	filter	VERB
fcis-18737	87	22	for	for	ADP
fcis-18737	87	23	low	low	ADJ
fcis-18737	87	24	-	-	PUNCT
fcis-18737	87	25	frequency	frequency	NOUN
fcis-18737	87	26	imf	imf	PROPN
fcis-18737	87	27	components	component	NOUN
fcis-18737	87	28	.	.	PUNCT
fcis-18737	88	1	(	(	PUNCT
fcis-18737	88	2	6	6	X
fcis-18737	88	3	)	)	PUNCT
fcis-18737	88	4	reconstruct	reconstruct	NOUN
fcis-18737	88	5	all	all	DET
fcis-18737	88	6	filtered	filter	VERB
fcis-18737	88	7	imfs	imfs	NOUN
fcis-18737	88	8	components	component	NOUN
fcis-18737	88	9	to	to	PART
fcis-18737	88	10	obtain	obtain	VERB
fcis-18737	88	11	the	the	DET
fcis-18737	88	12	final	final	ADJ
fcis-18737	88	13	denoised	denoise	VERB
fcis-18737	88	14	signal	signal	NOUN
fcis-18737	88	15	.	.	PUNCT
fcis-18737	89	1	equipment	equipment	NOUN
fcis-18737	89	2	train	train	NOUN
fcis-18737	89	3	signal	signal	NOUN
fcis-18737	89	4	ceemdan	ceemdan	PROPN
fcis-18737	89	5	decompose	decompose	PROPN
fcis-18737	89	6	as	as	ADP
fcis-18737	89	7	imfs	imfs	PROPN
fcis-18737	89	8	component	component	PROPN
fcis-18737	89	9	imfs	imfs	PROPN
fcis-18737	89	10	component	component	PROPN
fcis-18737	89	11	hht	hht	PROPN
fcis-18737	89	12	high	high	ADJ
fcis-18737	89	13	-	-	PUNCT
fcis-18737	89	14	low	low	ADJ
fcis-18737	89	15	frequency	frequency	NOUN
fcis-18737	89	16	imfs	imfs	NOUN
fcis-18737	89	17	componet	componet	NOUN
fcis-18737	89	18	omlsa	omlsa	NOUN
fcis-18737	89	19	preliminary	preliminary	ADJ
fcis-18737	89	20	filtering	filter	VERB
fcis-18737	89	21	omlsa	omlsa	ADJ
fcis-18737	89	22	noise	noise	NOUN
fcis-18737	89	23	reduction	reduction	NOUN
fcis-18737	89	24	kf	kf	PROPN
fcis-18737	89	25	reconstruction	reconstruction	PROPN
fcis-18737	89	26	imfs	imfs	PROPN
fcis-18737	89	27	component	component	NOUN
fcis-18737	89	28	denoised	denoise	VERB
fcis-18737	89	29	signal	signal	NOUN
fcis-18737	89	30	low	low	ADJ
fcis-18737	89	31	frequencyhigh	frequencyhigh	ADJ
fcis-18737	89	32	frequency	frequency	NOUN
fcis-18737	89	33	figure	figure	NOUN
fcis-18737	89	34	1	1	NUM
fcis-18737	89	35	.	.	PUNCT
fcis-18737	89	36	flow	flow	VERB
fcis-18737	89	37	chart	chart	NOUN
fcis-18737	89	38	of	of	ADP
fcis-18737	89	39	ceemdan	ceemdan	ADJ
fcis-18737	89	40	high	high	ADJ
fcis-18737	89	41	-	-	PUNCT
fcis-18737	89	42	low	low	NOUN
fcis-18737	89	43	frequency	frequency	NOUN
fcis-18737	89	44	filtering	filter	VERB
fcis-18737	89	45	algorithm	algorithm	NOUN
fcis-18737	89	46	3	3	NUM
fcis-18737	89	47	.	.	PUNCT
fcis-18737	90	1	experimental	experimental	ADJ
fcis-18737	90	2	results	result	NOUN
fcis-18737	90	3	and	and	CCONJ
fcis-18737	90	4	analysis	analysis	NOUN
fcis-18737	90	5	in	in	ADP
fcis-18737	90	6	order	order	NOUN
fcis-18737	90	7	to	to	PART
fcis-18737	90	8	verify	verify	VERB
fcis-18737	90	9	the	the	DET
fcis-18737	90	10	effectiveness	effectiveness	NOUN
fcis-18737	90	11	of	of	ADP
fcis-18737	90	12	the	the	DET
fcis-18737	90	13	high	high	ADJ
fcis-18737	90	14	and	and	CCONJ
fcis-18737	90	15	low	low	ADJ
fcis-18737	90	16	frequency	frequency	NOUN
fcis-18737	90	17	filtering	filtering	NOUN
fcis-18737	90	18	noise	noise	NOUN
fcis-18737	90	19	reduction	reduction	NOUN
fcis-18737	90	20	algorithm	algorithm	NOUN
fcis-18737	90	21	proposed	propose	VERB
fcis-18737	90	22	in	in	ADP
fcis-18737	90	23	this	this	DET
fcis-18737	90	24	article	article	NOUN
fcis-18737	90	25	based	base	VERB
fcis-18737	90	26	on	on	ADP
fcis-18737	90	27	ceemdan	ceemdan	PROPN
fcis-18737	90	28	,	,	PUNCT
fcis-18737	90	29	the	the	DET
fcis-18737	90	30	train	train	NOUN
fcis-18737	90	31	voice	voice	NOUN
fcis-18737	90	32	signals	signal	NOUN
fcis-18737	90	33	of	of	ADP
fcis-18737	90	34	the	the	DET
fcis-18737	90	35	fully	fully	ADV
fcis-18737	90	36	mechanized	mechanized	ADJ
fcis-18737	90	37	mining	mining	NOUN
fcis-18737	90	38	face	face	NOUN
fcis-18737	90	39	equipment	equipment	NOUN
fcis-18737	90	40	in	in	ADP
fcis-18737	90	41	shaqu	shaqu	PROPN
fcis-18737	90	42	coal	coal	PROPN
fcis-18737	90	43	mine	mine	PROPN
fcis-18737	90	44	,	,	PUNCT
fcis-18737	90	45	luliang	luliang	PROPN
fcis-18737	90	46	city	city	PROPN
fcis-18737	90	47	,	,	PUNCT
fcis-18737	90	48	shanxi	shanxi	PROPN
fcis-18737	90	49	province	province	PROPN
fcis-18737	90	50	were	be	AUX
fcis-18737	90	51	collected	collect	VERB
fcis-18737	90	52	for	for	ADP
fcis-18737	90	53	experimental	experimental	ADJ
fcis-18737	90	54	analysis	analysis	NOUN
fcis-18737	90	55	.	.	PUNCT
fcis-18737	91	1	on	on	ADP
fcis-18737	91	2	the	the	DET
fcis-18737	91	3	basis	basis	NOUN
fcis-18737	91	4	of	of	ADP
fcis-18737	91	5	the	the	DET
fcis-18737	91	6	noise	noise	NOUN
fcis-18737	91	7	reduction	reduction	NOUN
fcis-18737	91	8	results	result	NOUN
fcis-18737	91	9	of	of	ADP
fcis-18737	91	10	the	the	DET
fcis-18737	91	11	algorithm	algorithm	NOUN
fcis-18737	91	12	in	in	ADP
fcis-18737	91	13	this	this	DET
fcis-18737	91	14	article	article	NOUN
fcis-18737	91	15	,	,	PUNCT
fcis-18737	91	16	the	the	DET
fcis-18737	91	17	noise	noise	NOUN
fcis-18737	91	18	reduction	reduction	NOUN
fcis-18737	91	19	results	result	NOUN
fcis-18737	91	20	of	of	ADP
fcis-18737	91	21	omlsa	omlsa	NOUN
fcis-18737	91	22	combined	combine	VERB
fcis-18737	91	23	with	with	ADP
fcis-18737	91	24	kalman	kalman	PROPN
fcis-18737	91	25	filter	filter	NOUN
fcis-18737	91	26	algorithm	algorithm	PROPN
fcis-18737	91	27	,	,	PUNCT
fcis-18737	91	28	ceemdan	ceemdan	PROPN
fcis-18737	91	29	combined	combine	VERB
fcis-18737	91	30	with	with	ADP
fcis-18737	91	31	full	full	ADJ
fcis-18737	91	32	-	-	PUNCT
fcis-18737	91	33	frequency	frequency	NOUN
fcis-18737	91	34	omlsa	omlsa	ADJ
fcis-18737	91	35	algorithm	algorithm	NOUN
fcis-18737	91	36	,	,	PUNCT
fcis-18737	91	37	ceemdan	ceemdan	PROPN
fcis-18737	91	38	combined	combine	VERB
fcis-18737	91	39	with	with	ADP
fcis-18737	91	40	full	full	ADJ
fcis-18737	91	41	-	-	PUNCT
fcis-18737	91	42	frequency	frequency	NOUN
fcis-18737	91	43	kalman	kalman	NOUN
fcis-18737	91	44	filter	filter	NOUN
fcis-18737	91	45	algorithm	algorithm	PROPN
fcis-18737	91	46	,	,	PUNCT
fcis-18737	91	47	ceemdan	ceemdan	PROPN
fcis-18737	91	48	combined	combine	VERB
fcis-18737	91	49	with	with	ADP
fcis-18737	91	50	highfrequency	highfrequency	NOUN
fcis-18737	91	51	kalman	kalman	PROPN
fcis-18737	91	52	filter	filter	PROPN
fcis-18737	91	53	and	and	CCONJ
fcis-18737	91	54	low	low	ADJ
fcis-18737	91	55	-	-	PUNCT
fcis-18737	91	56	frequency	frequency	NOUN
fcis-18737	91	57	omlsa	omlsa	ADJ
fcis-18737	91	58	algorithm	algorithm	NOUN
fcis-18737	91	59	were	be	AUX
fcis-18737	91	60	carried	carry	VERB
fcis-18737	91	61	out	out	ADP
fcis-18737	91	62	.	.	PUNCT
fcis-18737	92	1	compare	compare	VERB
fcis-18737	92	2	and	and	CCONJ
fcis-18737	92	3	analyze	analyze	VERB
fcis-18737	92	4	the	the	DET
fcis-18737	92	5	noise	noise	NOUN
fcis-18737	92	6	reduction	reduction	NOUN
fcis-18737	92	7	effects	effect	NOUN
fcis-18737	92	8	of	of	ADP
fcis-18737	92	9	each	each	DET
fcis-18737	92	10	algorithm	algorithm	NOUN
fcis-18737	92	11	.	.	PUNCT
fcis-18737	93	1	figure	figure	NOUN
fcis-18737	93	2	2	2	NUM
fcis-18737	93	3	.	.	PUNCT
fcis-18737	93	4	instantaneous	instantaneous	ADJ
fcis-18737	93	5	frequency	frequency	NOUN
fcis-18737	93	6	of	of	ADP
fcis-18737	93	7	imfs	imfs	PROPN
fcis-18737	93	8	component	component	NOUN
fcis-18737	93	9	in	in	ADP
fcis-18737	93	10	frequency	frequency	NOUN
fcis-18737	93	11	domain	domain	NOUN
fcis-18737	93	12	in	in	ADP
fcis-18737	93	13	order	order	NOUN
fcis-18737	93	14	to	to	PART
fcis-18737	93	15	verify	verify	VERB
fcis-18737	93	16	the	the	DET
fcis-18737	93	17	effectiveness	effectiveness	NOUN
fcis-18737	93	18	of	of	ADP
fcis-18737	93	19	the	the	DET
fcis-18737	93	20	algorithm	algorithm	NOUN
fcis-18737	93	21	in	in	ADP
fcis-18737	93	22	this	this	DET
fcis-18737	93	23	article	article	NOUN
fcis-18737	93	24	,	,	PUNCT
fcis-18737	93	25	this	this	DET
fcis-18737	93	26	article	article	NOUN
fcis-18737	93	27	calculates	calculate	VERB
fcis-18737	93	28	the	the	DET
fcis-18737	93	29	signal	signal	NOUN
fcis-18737	93	30	-	-	PUNCT
fcis-18737	93	31	to	to	ADP
fcis-18737	93	32	-	-	PUNCT
fcis-18737	93	33	noise	noise	NOUN
fcis-18737	93	34	ratio	ratio	NOUN
fcis-18737	93	35	(	(	PUNCT
fcis-18737	93	36	snr	snr	PROPN
fcis-18737	93	37	)	)	PUNCT
fcis-18737	93	38	,	,	PUNCT
fcis-18737	93	39	peak	peak	NOUN
fcis-18737	93	40	signal	signal	NOUN
fcis-18737	93	41	-	-	PUNCT
fcis-18737	93	42	to	to	ADP
fcis-18737	93	43	-	-	PUNCT
fcis-18737	93	44	noise	noise	NOUN
fcis-18737	93	45	ratio	ratio	NOUN
fcis-18737	93	46	(	(	PUNCT
fcis-18737	93	47	psnr	psnr	NOUN
fcis-18737	93	48	)	)	PUNCT
fcis-18737	93	49	,	,	PUNCT
fcis-18737	93	50	root	root	NOUN
fcis-18737	93	51	-	-	PUNCT
fcis-18737	93	52	mean	mean	ADJ
fcis-18737	93	53	-	-	PUNCT
fcis-18737	93	54	square	square	NOUN
fcis-18737	93	55	error	error	NOUN
fcis-18737	93	56	(	(	PUNCT
fcis-18737	93	57	rmse	rmse	NOUN
fcis-18737	93	58	)	)	PUNCT
fcis-18737	93	59	and	and	CCONJ
fcis-18737	93	60	average	average	ADJ
fcis-18737	93	61	absolute	absolute	ADJ
fcis-18737	93	62	error	error	NOUN
fcis-18737	93	63	(	(	PUNCT
fcis-18737	93	64	mean	mean	ADJ
fcis-18737	93	65	absolute	absolute	ADJ
fcis-18737	93	66	distance	distance	NOUN
fcis-18737	93	67	,	,	PUNCT
fcis-18737	93	68	mae	mae	PROPN
fcis-18737	93	69	)	)	PUNCT
fcis-18737	93	70	.	.	PUNCT
fcis-18737	94	1	the	the	DET
fcis-18737	94	2	mathematical	mathematical	ADJ
fcis-18737	94	3	expression	expression	NOUN
fcis-18737	94	4	of	of	ADP
fcis-18737	94	5	snr	snr	PROPN
fcis-18737	94	6	is	be	AUX
fcis-18737	94	7	as	as	SCONJ
fcis-18737	94	8	follows	follow	VERB
fcis-18737	94	9	:	:	PUNCT
fcis-18737	94	10	10	10	NUM
fcis-18737	94	11	∑	∑	PROPN
fcis-18737	94	12	∑	∑	PROPN
fcis-18737	94	13	(	(	PUNCT
fcis-18737	94	14	11	11	NUM
fcis-18737	94	15	)	)	PUNCT
fcis-18737	94	16	the	the	DET
fcis-18737	94	17	mathematical	mathematical	ADJ
fcis-18737	94	18	expression	expression	NOUN
fcis-18737	94	19	of	of	ADP
fcis-18737	94	20	psnris	psnris	NOUN
fcis-18737	94	21	as	as	SCONJ
fcis-18737	94	22	follows	follow	VERB
fcis-18737	94	23	:	:	PUNCT
fcis-18737	94	24	9	9	NUM
fcis-18737	94	25	10	10	NUM
fcis-18737	94	26	∑	∑	SYM
fcis-18737	94	27	2	2	NUM
fcis-18737	94	28	1	1	NUM
fcis-18737	94	29	∑	∑	PUNCT
fcis-18737	94	30	(	(	PUNCT
fcis-18737	94	31	12	12	NUM
fcis-18737	94	32	)	)	PUNCT
fcis-18737	94	33	the	the	DET
fcis-18737	94	34	mathematical	mathematical	ADJ
fcis-18737	94	35	expression	expression	NOUN
fcis-18737	94	36	of	of	ADP
fcis-18737	94	37	rmseis	rmseis	NOUN
fcis-18737	94	38	as	as	SCONJ
fcis-18737	94	39	follows	follow	VERB
fcis-18737	94	40	:	:	PUNCT
fcis-18737	94	41	1	1	NUM
fcis-18737	94	42	(	(	PUNCT
fcis-18737	94	43	13	13	NUM
fcis-18737	94	44	)	)	PUNCT
fcis-18737	94	45	the	the	DET
fcis-18737	94	46	mathematical	mathematical	ADJ
fcis-18737	94	47	expression	expression	NOUN
fcis-18737	94	48	of	of	ADP
fcis-18737	94	49	maeis	maeis	NOUN
fcis-18737	94	50	as	as	SCONJ
fcis-18737	94	51	follows	follow	VERB
fcis-18737	94	52	:	:	PUNCT
fcis-18737	94	53	1	1	NUM
fcis-18737	94	54	|	|	ADV
fcis-18737	94	55	|	|	ADV
fcis-18737	94	56	(	(	PUNCT
fcis-18737	94	57	14	14	NUM
fcis-18737	94	58	)	)	PUNCT
fcis-18737	94	59	figure	figure	NOUN
fcis-18737	94	60	3	3	NUM
fcis-18737	94	61	.	.	PUNCT
fcis-18737	94	62	envelope	envelope	NOUN
fcis-18737	94	63	curve	curve	NOUN
fcis-18737	94	64	of	of	ADP
fcis-18737	94	65	instantaneous	instantaneous	ADJ
fcis-18737	94	66	frequency	frequency	NOUN
fcis-18737	94	67	of	of	ADP
fcis-18737	94	68	imfs	imfs	PROPN
fcis-18737	94	69	component	component	NOUN
fcis-18737	94	70	in	in	ADP
fcis-18737	94	71	time	time	NOUN
fcis-18737	94	72	domain	domain	NOUN
fcis-18737	94	73	after	after	ADP
fcis-18737	94	74	ceemdan	ceemdan	ADJ
fcis-18737	94	75	decomposition	decomposition	NOUN
fcis-18737	94	76	,	,	PUNCT
fcis-18737	94	77	the	the	DET
fcis-18737	94	78	results	result	NOUN
fcis-18737	94	79	of	of	ADP
fcis-18737	94	80	different	different	ADJ
fcis-18737	94	81	algorithms	algorithm	NOUN
fcis-18737	94	82	for	for	ADP
fcis-18737	94	83	high	high	ADJ
fcis-18737	94	84	and	and	CCONJ
fcis-18737	94	85	low	low	ADJ
fcis-18737	94	86	frequencies	frequency	NOUN
fcis-18737	94	87	are	be	AUX
fcis-18737	94	88	shown	show	VERB
fcis-18737	94	89	in	in	ADP
fcis-18737	94	90	table	table	NOUN
fcis-18737	94	91	1	1	NUM
fcis-18737	94	92	.	.	PUNCT
fcis-18737	95	1	as	as	SCONJ
fcis-18737	95	2	can	can	AUX
fcis-18737	95	3	be	be	AUX
fcis-18737	95	4	seen	see	VERB
fcis-18737	95	5	from	from	ADP
fcis-18737	95	6	the	the	DET
fcis-18737	95	7	table	table	NOUN
fcis-18737	95	8	,	,	PUNCT
fcis-18737	95	9	the	the	DET
fcis-18737	95	10	algorithm	algorithm	NOUN
fcis-18737	95	11	in	in	ADP
fcis-18737	95	12	this	this	DET
fcis-18737	95	13	paper	paper	NOUN
fcis-18737	95	14	is	be	AUX
fcis-18737	95	15	the	the	DET
fcis-18737	95	16	best	good	ADJ
fcis-18737	95	17	in	in	ADP
fcis-18737	95	18	terms	term	NOUN
fcis-18737	95	19	of	of	ADP
fcis-18737	95	20	snr	snr	PROPN
fcis-18737	95	21	,	,	PUNCT
fcis-18737	95	22	psnr	psnr	NOUN
fcis-18737	95	23	,	,	PUNCT
fcis-18737	95	24	rmse	rmse	PROPN
fcis-18737	95	25	and	and	CCONJ
fcis-18737	95	26	mae	mae	PROPN
fcis-18737	95	27	index	index	NOUN
fcis-18737	95	28	results	result	NOUN
fcis-18737	95	29	.	.	PUNCT
fcis-18737	96	1	compared	compare	VERB
fcis-18737	96	2	with	with	ADP
fcis-18737	96	3	the	the	DET
fcis-18737	96	4	ceemdan+omlsa	ceemdan+omlsa	PROPN
fcis-18737	96	5	algorithm	algorithm	NOUN
fcis-18737	96	6	,	,	PUNCT
fcis-18737	96	7	the	the	DET
fcis-18737	96	8	algorithm	algorithm	NOUN
fcis-18737	96	9	in	in	ADP
fcis-18737	96	10	this	this	DET
fcis-18737	96	11	paper	paper	NOUN
fcis-18737	96	12	is	be	AUX
fcis-18737	96	13	better	well	ADJ
fcis-18737	96	14	than	than	ADP
fcis-18737	96	15	it	it	PRON
fcis-18737	96	16	,	,	PUNCT
fcis-18737	96	17	which	which	PRON
fcis-18737	96	18	proves	prove	VERB
fcis-18737	96	19	that	that	SCONJ
fcis-18737	96	20	low	low	ADJ
fcis-18737	96	21	-	-	PUNCT
fcis-18737	96	22	frequency	frequency	NOUN
fcis-18737	96	23	noise	noise	NOUN
fcis-18737	96	24	is	be	AUX
fcis-18737	96	25	more	more	ADV
fcis-18737	96	26	sensitive	sensitive	ADJ
fcis-18737	96	27	to	to	ADP
fcis-18737	96	28	algorithm	algorithm	NOUN
fcis-18737	96	29	processing	processing	NOUN
fcis-18737	96	30	.	.	PUNCT
fcis-18737	97	1	the	the	DET
fcis-18737	97	2	mae	mae	PROPN
fcis-18737	97	3	in	in	ADP
fcis-18737	97	4	this	this	DET
fcis-18737	97	5	paper	paper	NOUN
fcis-18737	97	6	is	be	AUX
fcis-18737	97	7	0.1	0.1	NUM
fcis-18737	97	8	lower	low	ADJ
fcis-18737	97	9	,	,	PUNCT
fcis-18737	97	10	indicating	indicate	VERB
fcis-18737	97	11	that	that	SCONJ
fcis-18737	97	12	low	low	ADJ
fcis-18737	97	13	frequencies	frequency	NOUN
fcis-18737	97	14	affect	affect	VERB
fcis-18737	97	15	the	the	DET
fcis-18737	97	16	clarity	clarity	NOUN
fcis-18737	97	17	of	of	ADP
fcis-18737	97	18	sound	sound	NOUN
fcis-18737	97	19	more	more	ADJ
fcis-18737	97	20	.	.	PUNCT
fcis-18737	98	1	table	table	NOUN
fcis-18737	98	2	1	1	NUM
fcis-18737	98	3	.	.	PUNCT
fcis-18737	98	4	comparison	comparison	NOUN
fcis-18737	98	5	of	of	ADP
fcis-18737	98	6	test	test	NOUN
fcis-18737	98	7	result	result	NOUN
fcis-18737	98	8	of	of	ADP
fcis-18737	98	9	different	different	ADJ
fcis-18737	98	10	denoising	denoising	NOUN
fcis-18737	98	11	algorithms	algorithm	NOUN
fcis-18737	98	12	algorithm	algorithm	NOUN
fcis-18737	98	13	snr	snr	PROPN
fcis-18737	98	14	psnr	psnr	PROPN
fcis-18737	98	15	rmse	rmse	PROPN
fcis-18737	98	16	mae	mae	PROPN
fcis-18737	98	17	omlsa	omlsa	PROPN
fcis-18737	98	18	+	+	PROPN
fcis-18737	98	19	kalman	kalman	NOUN
fcis-18737	98	20	0.55	0.55	NUM
fcis-18737	98	21	1.70	1.70	NUM
fcis-18737	98	22	0.06	0.06	NUM
fcis-18737	98	23	0.04	0.04	NUM
fcis-18737	98	24	ceemdan	ceemdan	PROPN
fcis-18737	98	25	+	+	PROPN
fcis-18737	98	26	kalman	kalman	NOUN
fcis-18737	98	27	0.56	0.56	NUM
fcis-18737	98	28	1.69	1.69	NUM
fcis-18737	98	29	0.06	0.06	NUM
fcis-18737	98	30	0.05	0.05	NUM
fcis-18737	98	31	ceemdan	ceemdan	NOUN
fcis-18737	98	32	+	+	CCONJ
fcis-18737	98	33	omlsa	omlsa	ADJ
fcis-18737	98	34	3.97	3.97	NUM
fcis-18737	98	35	2.60	2.60	NUM
fcis-18737	98	36	0.02	0.02	NUM
fcis-18737	98	37	0.02	0.02	NUM
fcis-18737	98	38	high	high	ADJ
fcis-18737	98	39	-	-	PUNCT
fcis-18737	98	40	frequency	frequency	NOUN
fcis-18737	98	41	kalman	kalman	NOUN
fcis-18737	98	42	+	+	CCONJ
fcis-18737	98	43	low	low	ADJ
fcis-18737	98	44	-	-	PUNCT
fcis-18737	98	45	frequency	frequency	NOUN
fcis-18737	98	46	omlsa	omlsa	NOUN
fcis-18737	98	47	0.73	0.73	NUM
fcis-18737	98	48	1.70	1.70	NUM
fcis-18737	98	49	0.06	0.06	NUM
fcis-18737	98	50	0.04	0.04	NUM
fcis-18737	98	51	this	this	DET
fcis-18737	98	52	article	article	NOUN
fcis-18737	98	53	4.24	4.24	NUM
fcis-18737	98	54	2.81	2.81	NUM
fcis-18737	98	55	0.016	0.016	NUM
fcis-18737	98	56	0.01	0.01	NUM
fcis-18737	98	57	in	in	ADP
fcis-18737	98	58	order	order	NOUN
fcis-18737	98	59	to	to	PART
fcis-18737	98	60	further	far	ADV
fcis-18737	98	61	analyze	analyze	VERB
fcis-18737	98	62	the	the	DET
fcis-18737	98	63	impact	impact	NOUN
fcis-18737	98	64	of	of	ADP
fcis-18737	98	65	different	different	ADJ
fcis-18737	98	66	algorithms	algorithm	NOUN
fcis-18737	98	67	on	on	ADP
fcis-18737	98	68	noise	noise	NOUN
fcis-18737	99	1	,	,	PUNCT
fcis-18737	99	2	this	this	DET
fcis-18737	99	3	article	article	NOUN
fcis-18737	99	4	conducts	conduct	VERB
fcis-18737	99	5	comparisons	comparison	NOUN
fcis-18737	99	6	in	in	ADP
fcis-18737	99	7	the	the	DET
fcis-18737	99	8	time	time	NOUN
fcis-18737	99	9	domain	domain	NOUN
fcis-18737	99	10	and	and	CCONJ
fcis-18737	99	11	frequency	frequency	NOUN
fcis-18737	99	12	domain	domain	NOUN
fcis-18737	99	13	.	.	PUNCT
fcis-18737	100	1	the	the	DET
fcis-18737	100	2	time	time	NOUN
fcis-18737	100	3	domain	domain	NOUN
fcis-18737	100	4	comparison	comparison	NOUN
fcis-18737	100	5	is	be	AUX
fcis-18737	100	6	shown	show	VERB
fcis-18737	100	7	in	in	ADP
fcis-18737	100	8	figure	figure	NOUN
fcis-18737	100	9	4	4	NUM
fcis-18737	100	10	.	.	PUNCT
fcis-18737	101	1	it	it	PRON
fcis-18737	101	2	can	can	AUX
fcis-18737	101	3	be	be	AUX
fcis-18737	101	4	seen	see	VERB
fcis-18737	101	5	from	from	ADP
fcis-18737	101	6	the	the	DET
fcis-18737	101	7	figure	figure	NOUN
fcis-18737	101	8	that	that	SCONJ
fcis-18737	101	9	at	at	ADP
fcis-18737	101	10	the	the	DET
fcis-18737	101	11	high	high	ADJ
fcis-18737	101	12	frequency	frequency	NOUN
fcis-18737	101	13	position	position	NOUN
fcis-18737	101	14	,	,	PUNCT
fcis-18737	101	15	the	the	DET
fcis-18737	101	16	wave	wave	NOUN
fcis-18737	101	17	peak	peak	NOUN
fcis-18737	101	18	after	after	ADP
fcis-18737	101	19	denoising	denoising	NOUN
fcis-18737	101	20	is	be	AUX
fcis-18737	101	21	slenderer	slender	ADJ
fcis-18737	101	22	than	than	ADP
fcis-18737	101	23	before	before	ADP
fcis-18737	101	24	denoising	denoising	NOUN
fcis-18737	101	25	,	,	PUNCT
fcis-18737	101	26	and	and	CCONJ
fcis-18737	101	27	the	the	DET
fcis-18737	101	28	burrs	burrs	NOUN
fcis-18737	101	29	on	on	ADP
fcis-18737	101	30	the	the	DET
fcis-18737	101	31	wave	wave	NOUN
fcis-18737	101	32	peak	peak	NOUN
fcis-18737	101	33	are	be	AUX
fcis-18737	101	34	flat	flat	ADJ
fcis-18737	101	35	;	;	PUNCT
fcis-18737	101	36	at	at	ADP
fcis-18737	101	37	the	the	DET
fcis-18737	101	38	low	low	ADJ
fcis-18737	101	39	frequency	frequency	NOUN
fcis-18737	101	40	position	position	NOUN
fcis-18737	101	41	,	,	PUNCT
fcis-18737	101	42	the	the	DET
fcis-18737	101	43	flat	flat	ADJ
fcis-18737	101	44	wave	wave	NOUN
fcis-18737	101	45	peak	peak	NOUN
fcis-18737	101	46	is	be	AUX
fcis-18737	101	47	divided	divide	VERB
fcis-18737	101	48	into	into	ADP
fcis-18737	101	49	multiple	multiple	ADJ
fcis-18737	101	50	slender	slender	ADJ
fcis-18737	101	51	peaks	peak	NOUN
fcis-18737	101	52	,	,	PUNCT
fcis-18737	101	53	which	which	PRON
fcis-18737	101	54	can	can	AUX
fcis-18737	101	55	better	well	ADV
fcis-18737	101	56	reflect	reflect	VERB
fcis-18737	101	57	the	the	DET
fcis-18737	101	58	timbre	timbre	NOUN
fcis-18737	101	59	of	of	ADP
fcis-18737	101	60	deep	deep	ADJ
fcis-18737	101	61	sounds	sound	NOUN
fcis-18737	101	62	.	.	PUNCT
fcis-18737	102	1	the	the	DET
fcis-18737	102	2	three	three	NUM
fcis-18737	102	3	algorithms	algorithm	NOUN
fcis-18737	102	4	of	of	ADP
fcis-18737	102	5	omlsa	omlsa	ADJ
fcis-18737	102	6	+	+	CCONJ
fcis-18737	102	7	kalman	kalman	PROPN
fcis-18737	102	8	filter	filter	PROPN
fcis-18737	102	9	,	,	PUNCT
fcis-18737	102	10	ceemdan	ceemdan	PROPN
fcis-18737	102	11	+	+	PROPN
fcis-18737	102	12	kalman	kalman	PROPN
fcis-18737	102	13	filter	filter	NOUN
fcis-18737	102	14	,	,	PUNCT
fcis-18737	102	15	and	and	CCONJ
fcis-18737	102	16	ceemdan	ceemdan	PROPN
fcis-18737	102	17	+	+	CCONJ
fcis-18737	102	18	high	high	ADJ
fcis-18737	102	19	-	-	PUNCT
fcis-18737	102	20	frequency	frequency	NOUN
fcis-18737	102	21	kalman	kalman	NOUN
fcis-18737	102	22	filter	filter	NOUN
fcis-18737	102	23	+	+	CCONJ
fcis-18737	102	24	low	low	ADJ
fcis-18737	102	25	-	-	PUNCT
fcis-18737	102	26	frequency	frequency	NOUN
fcis-18737	102	27	omlsa	omlsa	NOUN
fcis-18737	102	28	have	have	VERB
fcis-18737	102	29	full	full	ADJ
fcis-18737	102	30	-	-	PUNCT
fcis-18737	102	31	frequency	frequency	NOUN
fcis-18737	102	32	distortion	distortion	NOUN
fcis-18737	102	33	,	,	PUNCT
fcis-18737	102	34	and	and	CCONJ
fcis-18737	102	35	the	the	DET
fcis-18737	102	36	ceemdan	ceemdan	PROPN
fcis-18737	102	37	+	+	CCONJ
fcis-18737	102	38	omlsa	omlsa	ADJ
fcis-18737	102	39	algorithm	algorithm	NOUN
fcis-18737	102	40	has	have	VERB
fcis-18737	102	41	low	low	ADJ
fcis-18737	102	42	-	-	PUNCT
fcis-18737	102	43	frequency	frequency	NOUN
fcis-18737	102	44	distortion	distortion	NOUN
fcis-18737	102	45	.	.	PUNCT
fcis-18737	103	1	the	the	DET
fcis-18737	103	2	spectrum	spectrum	NOUN
fcis-18737	103	3	comparison	comparison	NOUN
fcis-18737	103	4	is	be	AUX
fcis-18737	103	5	shown	show	VERB
fcis-18737	103	6	in	in	ADP
fcis-18737	103	7	figure	figure	NOUN
fcis-18737	103	8	5	5	NUM
fcis-18737	103	9	.	.	PUNCT
fcis-18737	104	1	it	it	PRON
fcis-18737	104	2	can	can	AUX
fcis-18737	104	3	be	be	AUX
fcis-18737	104	4	seen	see	VERB
fcis-18737	104	5	from	from	ADP
fcis-18737	104	6	the	the	DET
fcis-18737	104	7	figure	figure	NOUN
fcis-18737	104	8	that	that	SCONJ
fcis-18737	104	9	for	for	ADP
fcis-18737	104	10	ceemdan+kalman	ceemdan+kalman	PROPN
fcis-18737	104	11	filtering	filtering	NOUN
fcis-18737	104	12	,	,	PUNCT
fcis-18737	104	13	ceemdan+high	ceemdan+high	ADJ
fcis-18737	104	14	-	-	PUNCT
fcis-18737	104	15	frequency	frequency	NOUN
fcis-18737	104	16	kalman	kalman	NOUN
fcis-18737	104	17	filtering+lowfrequency	filtering+lowfrequency	PROPN
fcis-18737	104	18	omlsa	omlsa	NOUN
fcis-18737	104	19	algorithm	algorithm	NOUN
fcis-18737	104	20	,	,	PUNCT
fcis-18737	104	21	the	the	DET
fcis-18737	104	22	high	high	ADJ
fcis-18737	104	23	frequency	frequency	NOUN
fcis-18737	104	24	is	be	AUX
fcis-18737	104	25	higher	high	ADJ
fcis-18737	104	26	than	than	ADP
fcis-18737	104	27	the	the	DET
fcis-18737	104	28	original	original	ADJ
fcis-18737	104	29	signal	signal	NOUN
fcis-18737	104	30	,	,	PUNCT
fcis-18737	104	31	and	and	CCONJ
fcis-18737	104	32	the	the	DET
fcis-18737	104	33	noise	noise	NOUN
fcis-18737	104	34	increases	increase	NOUN
fcis-18737	104	35	;	;	PUNCT
fcis-18737	104	36	the	the	DET
fcis-18737	104	37	omlsa+kalman	omlsa+kalman	PROPN
fcis-18737	104	38	filtering	filtering	NOUN
fcis-18737	104	39	algorithm	algorithm	PROPN
fcis-18737	104	40	has	have	VERB
fcis-18737	104	41	a	a	DET
fcis-18737	104	42	large	large	ADJ
fcis-18737	104	43	amplitude	amplitude	NOUN
fcis-18737	104	44	at	at	ADP
fcis-18737	104	45	high	high	ADJ
fcis-18737	104	46	frequency	frequency	NOUN
fcis-18737	104	47	reduce	reduce	NOUN
fcis-18737	104	48	,	,	PUNCT
fcis-18737	104	49	speech	speech	NOUN
fcis-18737	104	50	distortion	distortion	NOUN
fcis-18737	104	51	.	.	PUNCT
fcis-18737	105	1	compared	compare	VERB
fcis-18737	105	2	with	with	ADP
fcis-18737	105	3	the	the	DET
fcis-18737	105	4	algorithm	algorithm	NOUN
fcis-18737	105	5	of	of	ADP
fcis-18737	105	6	this	this	DET
fcis-18737	105	7	article	article	NOUN
fcis-18737	105	8	,	,	PUNCT
fcis-18737	105	9	the	the	DET
fcis-18737	105	10	ceemdan+omlsa	ceemdan+omlsa	PROPN
fcis-18737	105	11	algorithm	algorithm	NOUN
fcis-18737	105	12	has	have	AUX
fcis-18737	105	13	reduced	reduce	VERB
fcis-18737	105	14	the	the	DET
fcis-18737	105	15	amplitude	amplitude	NOUN
fcis-18737	105	16	of	of	ADP
fcis-18737	105	17	high	high	ADJ
fcis-18737	105	18	frequencies	frequency	NOUN
fcis-18737	105	19	by	by	ADP
fcis-18737	105	20	10	10	NUM
fcis-18737	105	21	%	%	NOUN
fcis-18737	105	22	,	,	PUNCT
fcis-18737	105	23	the	the	DET
fcis-18737	105	24	troughs	troughs	NOUN
fcis-18737	105	25	between	between	ADP
fcis-18737	105	26	high	high	ADJ
fcis-18737	105	27	frequencies	frequency	NOUN
fcis-18737	105	28	are	be	AUX
fcis-18737	105	29	slenderer	slender	ADJ
fcis-18737	105	30	,	,	PUNCT
fcis-18737	105	31	and	and	CCONJ
fcis-18737	105	32	the	the	DET
fcis-18737	105	33	low	low	ADJ
fcis-18737	105	34	frequencies	frequency	NOUN
fcis-18737	105	35	are	be	AUX
fcis-18737	105	36	smoother	smooth	ADJ
fcis-18737	105	37	and	and	CCONJ
fcis-18737	105	38	more	more	ADV
fcis-18737	105	39	layered	layer	VERB
fcis-18737	105	40	.	.	PUNCT
fcis-18737	106	1	the	the	DET
fcis-18737	106	2	logarithmic	logarithmic	PROPN
fcis-18737	106	3	spectrum	spectrum	NOUN
fcis-18737	106	4	comparison	comparison	NOUN
fcis-18737	106	5	is	be	AUX
fcis-18737	106	6	shown	show	VERB
fcis-18737	106	7	in	in	ADP
fcis-18737	106	8	figure	figure	NOUN
fcis-18737	106	9	6	6	NUM
fcis-18737	106	10	.	.	PUNCT
fcis-18737	107	1	it	it	PRON
fcis-18737	107	2	can	can	AUX
fcis-18737	107	3	be	be	AUX
fcis-18737	107	4	seen	see	VERB
fcis-18737	107	5	from	from	ADP
fcis-18737	107	6	the	the	DET
fcis-18737	107	7	figure	figure	NOUN
fcis-18737	107	8	that	that	SCONJ
fcis-18737	107	9	the	the	DET
fcis-18737	107	10	ceemdan+high	ceemdan+high	ADJ
fcis-18737	107	11	-	-	PUNCT
fcis-18737	107	12	frequency	frequency	NOUN
fcis-18737	107	13	kalman	kalman	NOUN
fcis-18737	107	14	filter+	filter+	ADP
fcis-18737	107	15	low	low	ADJ
fcis-18737	107	16	-	-	PUNCT
fcis-18737	107	17	frequency	frequency	NOUN
fcis-18737	107	18	omlsa	omlsa	NOUN
fcis-18737	107	19	algorithm	algorithm	NOUN
fcis-18737	107	20	is	be	AUX
fcis-18737	107	21	compared	compare	VERB
fcis-18737	107	22	with	with	ADP
fcis-18737	107	23	the	the	DET
fcis-18737	107	24	algorithm	algorithm	NOUN
fcis-18737	107	25	in	in	ADP
fcis-18737	107	26	this	this	DET
fcis-18737	107	27	paper	paper	NOUN
fcis-18737	107	28	.	.	PUNCT
fcis-18737	108	1	although	although	SCONJ
fcis-18737	108	2	the	the	DET
fcis-18737	108	3	amplitude	amplitude	NOUN
fcis-18737	108	4	below	below	ADP
fcis-18737	108	5	128hz	128hz	ADJ
fcis-18737	108	6	(	(	PUNCT
fcis-18737	108	7	low	low	ADJ
fcis-18737	108	8	frequency	frequency	NOUN
fcis-18737	108	9	)	)	PUNCT
fcis-18737	108	10	is	be	AUX
fcis-18737	108	11	significantly	significantly	ADV
fcis-18737	108	12	increased	increase	VERB
fcis-18737	108	13	,	,	PUNCT
fcis-18737	108	14	the	the	DET
fcis-18737	108	15	sound	sound	NOUN
fcis-18737	108	16	is	be	AUX
fcis-18737	108	17	more	more	ADV
fcis-18737	108	18	obvious	obvious	ADJ
fcis-18737	108	19	;	;	PUNCT
fcis-18737	108	20	however	however	ADV
fcis-18737	108	21	,	,	PUNCT
fcis-18737	108	22	at	at	ADP
fcis-18737	108	23	128hz-512hz	128hz-512hz	NUM
fcis-18737	108	24	(	(	PUNCT
fcis-18737	108	25	medium	medium	ADJ
fcis-18737	108	26	frequency	frequency	NOUN
fcis-18737	108	27	)	)	PUNCT
fcis-18737	108	28	,	,	PUNCT
fcis-18737	108	29	the	the	DET
fcis-18737	108	30	algorithm	algorithm	NOUN
fcis-18737	108	31	in	in	ADP
fcis-18737	108	32	this	this	DET
fcis-18737	108	33	paper	paper	NOUN
fcis-18737	108	34	has	have	VERB
fcis-18737	108	35	a	a	DET
fcis-18737	108	36	flat	flat	ADJ
fcis-18737	108	37	amplitude	amplitude	NOUN
fcis-18737	108	38	,	,	PUNCT
fcis-18737	108	39	no	no	DET
fcis-18737	108	40	aggregation	aggregation	NOUN
fcis-18737	108	41	,	,	PUNCT
fcis-18737	108	42	and	and	CCONJ
fcis-18737	108	43	the	the	DET
fcis-18737	108	44	denoised	denoise	VERB
fcis-18737	108	45	signal	signal	NOUN
fcis-18737	108	46	is	be	AUX
fcis-18737	108	47	stable	stable	ADJ
fcis-18737	108	48	.	.	PUNCT
fcis-18737	109	1	the	the	DET
fcis-18737	109	2	noise	noise	NOUN
fcis-18737	109	3	amplitude	amplitude	NOUN
fcis-18737	109	4	above	above	ADP
fcis-18737	109	5	1024hz	1024hz	PROPN
fcis-18737	109	6	(	(	PUNCT
fcis-18737	109	7	high	high	ADJ
fcis-18737	109	8	frequency	frequency	NOUN
fcis-18737	109	9	)	)	PUNCT
fcis-18737	109	10	is	be	AUX
fcis-18737	109	11	significantly	significantly	ADV
fcis-18737	109	12	reduced	reduce	VERB
fcis-18737	109	13	,	,	PUNCT
fcis-18737	109	14	and	and	CCONJ
fcis-18737	109	15	the	the	DET
fcis-18737	109	16	noise	noise	NOUN
fcis-18737	109	17	is	be	AUX
fcis-18737	109	18	significantly	significantly	ADV
fcis-18737	109	19	reduced	reduce	VERB
fcis-18737	109	20	.	.	PUNCT
fcis-18737	110	1	figure	figure	VERB
fcis-18737	110	2	4	4	NUM
fcis-18737	110	3	.	.	NOUN
fcis-18737	110	4	comparison	comparison	NOUN
fcis-18737	110	5	of	of	ADP
fcis-18737	110	6	sequential	sequential	ADJ
fcis-18737	110	7	waveform	waveform	NOUN
fcis-18737	110	8	of	of	ADP
fcis-18737	110	9	different	different	ADJ
fcis-18737	110	10	denoising	denoising	NOUN
fcis-18737	110	11	algorithms	algorithms	NOUN
fcis-18737	110	12	10	10	NUM
fcis-18737	110	13	figure	figure	NOUN
fcis-18737	110	14	5	5	NUM
fcis-18737	110	15	.	.	PUNCT
fcis-18737	110	16	comparison	comparison	NOUN
fcis-18737	110	17	of	of	ADP
fcis-18737	110	18	frequency	frequency	NOUN
fcis-18737	110	19	spectrum	spectrum	NOUN
fcis-18737	110	20	of	of	ADP
fcis-18737	110	21	different	different	ADJ
fcis-18737	110	22	denoising	denoise	VERB
fcis-18737	110	23	algorithms	algorithm	NOUN
fcis-18737	110	24	figure	figure	VERB
fcis-18737	110	25	6	6	NUM
fcis-18737	110	26	.	.	PUNCT
fcis-18737	110	27	comparison	comparison	NOUN
fcis-18737	110	28	of	of	ADP
fcis-18737	110	29	logarithmic	logarithmic	ADJ
fcis-18737	110	30	spectrum	spectrum	NOUN
fcis-18737	110	31	of	of	ADP
fcis-18737	110	32	different	different	ADJ
fcis-18737	110	33	denoising	denoising	NOUN
fcis-18737	110	34	algorithms	algorithm	NOUN
fcis-18737	110	35	4	4	NUM
fcis-18737	110	36	.	.	PUNCT
fcis-18737	111	1	summary	summary	VERB
fcis-18737	111	2	this	this	DET
fcis-18737	111	3	paper	paper	NOUN
fcis-18737	111	4	proposes	propose	VERB
fcis-18737	111	5	a	a	DET
fcis-18737	111	6	high	high	ADJ
fcis-18737	111	7	and	and	CCONJ
fcis-18737	111	8	low	low	ADJ
fcis-18737	111	9	frequency	frequency	NOUN
fcis-18737	111	10	filtering	filtering	NOUN
fcis-18737	111	11	algorithm	algorithm	NOUN
fcis-18737	111	12	based	base	VERB
fcis-18737	111	13	on	on	ADP
fcis-18737	111	14	ceemdan	ceemdan	PROPN
fcis-18737	111	15	for	for	ADP
fcis-18737	111	16	the	the	DET
fcis-18737	111	17	complex	complex	ADJ
fcis-18737	111	18	and	and	CCONJ
fcis-18737	111	19	special	special	ADJ
fcis-18737	111	20	environment	environment	NOUN
fcis-18737	111	21	of	of	ADP
fcis-18737	111	22	equipment	equipment	NOUN
fcis-18737	111	23	trains	train	NOUN
fcis-18737	111	24	in	in	ADP
fcis-18737	111	25	fully	fully	ADV
fcis-18737	111	26	mechanized	mechanized	ADJ
fcis-18737	111	27	mining	mining	NOUN
fcis-18737	111	28	working	work	VERB
fcis-18737	111	29	faces	face	NOUN
fcis-18737	111	30	.	.	PUNCT
fcis-18737	112	1	the	the	DET
fcis-18737	112	2	train	train	NOUN
fcis-18737	112	3	voice	voice	NOUN
fcis-18737	112	4	signal	signal	NOUN
fcis-18737	112	5	of	of	ADP
fcis-18737	112	6	the	the	DET
fcis-18737	112	7	fully	fully	ADV
fcis-18737	112	8	mechanized	mechanized	ADJ
fcis-18737	112	9	mining	mining	NOUN
fcis-18737	112	10	face	face	NOUN
fcis-18737	112	11	equipment	equipment	NOUN
fcis-18737	112	12	processed	process	VERB
fcis-18737	112	13	by	by	ADP
fcis-18737	112	14	this	this	DET
fcis-18737	112	15	algorithm	algorithm	NOUN
fcis-18737	112	16	is	be	AUX
fcis-18737	112	17	clearer	clear	ADJ
fcis-18737	112	18	and	and	CCONJ
fcis-18737	112	19	smoother	smooth	ADJ
fcis-18737	112	20	than	than	ADP
fcis-18737	112	21	the	the	DET
fcis-18737	112	22	traditional	traditional	ADJ
fcis-18737	112	23	algorithm	algorithm	NOUN
fcis-18737	112	24	.	.	PUNCT
fcis-18737	113	1	the	the	DET
fcis-18737	113	2	test	test	NOUN
fcis-18737	113	3	results	result	NOUN
fcis-18737	113	4	show	show	VERB
fcis-18737	113	5	that	that	SCONJ
fcis-18737	113	6	the	the	DET
fcis-18737	113	7	processing	processing	NOUN
fcis-18737	113	8	results	result	NOUN
fcis-18737	113	9	of	of	ADP
fcis-18737	113	10	the	the	DET
fcis-18737	113	11	proposed	propose	VERB
fcis-18737	113	12	algorithm	algorithm	NOUN
fcis-18737	113	13	are	be	AUX
fcis-18737	113	14	significantly	significantly	ADV
fcis-18737	113	15	improved	improve	VERB
fcis-18737	113	16	in	in	ADP
fcis-18737	113	17	snr	snr	PROPN
fcis-18737	113	18	,	,	PUNCT
fcis-18737	113	19	psnr	psnr	NOUN
fcis-18737	113	20	,	,	PUNCT
fcis-18737	113	21	rmse	rmse	NOUN
fcis-18737	113	22	and	and	CCONJ
fcis-18737	113	23	mae	mae	PROPN
fcis-18737	113	24	indicators	indicator	NOUN
fcis-18737	113	25	.	.	PUNCT
fcis-18737	114	1	therefore	therefore	ADV
fcis-18737	114	2	,	,	PUNCT
fcis-18737	114	3	the	the	DET
fcis-18737	114	4	high	high	ADJ
fcis-18737	114	5	and	and	CCONJ
fcis-18737	114	6	low	low	ADJ
fcis-18737	114	7	frequency	frequency	NOUN
fcis-18737	114	8	filtering	filtering	NOUN
fcis-18737	114	9	algorithm	algorithm	NOUN
fcis-18737	114	10	based	base	VERB
fcis-18737	114	11	on	on	ADP
fcis-18737	114	12	ceemdan	ceemdan	PROPN
fcis-18737	114	13	proposed	propose	VERB
fcis-18737	114	14	in	in	ADP
fcis-18737	114	15	this	this	DET
fcis-18737	114	16	article	article	NOUN
fcis-18737	114	17	has	have	VERB
fcis-18737	114	18	good	good	ADJ
fcis-18737	114	19	application	application	NOUN
fcis-18737	114	20	value	value	NOUN
fcis-18737	114	21	for	for	ADP
fcis-18737	114	22	noise	noise	NOUN
fcis-18737	114	23	reduction	reduction	NOUN
fcis-18737	114	24	of	of	ADP
fcis-18737	114	25	speech	speech	NOUN
fcis-18737	114	26	signals	signal	NOUN
fcis-18737	114	27	acquired	acquire	VERB
fcis-18737	114	28	in	in	ADP
fcis-18737	114	29	the	the	DET
fcis-18737	114	30	train	train	NOUN
fcis-18737	114	31	environment	environment	NOUN
fcis-18737	114	32	of	of	ADP
fcis-18737	114	33	fully	fully	ADV
fcis-18737	114	34	mechanized	mechanized	ADJ
fcis-18737	114	35	mining	mining	NOUN
fcis-18737	114	36	face	face	NOUN
fcis-18737	114	37	equipment	equipment	NOUN
fcis-18737	114	38	,	,	PUNCT
fcis-18737	114	39	and	and	CCONJ
fcis-18737	114	40	is	be	AUX
fcis-18737	114	41	beneficial	beneficial	ADJ
fcis-18737	114	42	to	to	ADP
fcis-18737	114	43	improving	improve	VERB
fcis-18737	114	44	the	the	DET
fcis-18737	114	45	accuracy	accuracy	NOUN
fcis-18737	114	46	of	of	ADP
fcis-18737	114	47	subsequent	subsequent	ADJ
fcis-18737	114	48	speech	speech	NOUN
fcis-18737	114	49	recognition	recognition	NOUN
fcis-18737	114	50	.	.	PUNCT
fcis-18737	115	1	acknowledgments	acknowledgment	NOUN
fcis-18737	115	2	first	first	ADV
fcis-18737	115	3	of	of	ADP
fcis-18737	115	4	all	all	PRON
fcis-18737	115	5	,	,	PUNCT
fcis-18737	115	6	i	i	PRON
fcis-18737	115	7	would	would	AUX
fcis-18737	115	8	like	like	VERB
fcis-18737	115	9	to	to	PART
fcis-18737	115	10	express	express	VERB
fcis-18737	115	11	my	my	PRON
fcis-18737	115	12	deepest	deep	ADJ
fcis-18737	115	13	gratitude	gratitude	NOUN
fcis-18737	115	14	to	to	ADP
fcis-18737	115	15	sichuan	sichuan	PROPN
fcis-18737	115	16	aerospace	aerospace	PROPN
fcis-18737	115	17	electro	electro	NOUN
fcis-18737	115	18	-	-	PUNCT
fcis-18737	115	19	hydraulic	hydraulic	NOUN
fcis-18737	115	20	control	control	NOUN
fcis-18737	115	21	corporation	corporation	NOUN
fcis-18737	115	22	.	.	PUNCT
fcis-18737	116	1	the	the	DET
fcis-18737	116	2	research	research	NOUN
fcis-18737	116	3	work	work	NOUN
fcis-18737	116	4	of	of	ADP
fcis-18737	116	5	this	this	DET
fcis-18737	116	6	thesis	thesis	NOUN
fcis-18737	116	7	has	have	AUX
fcis-18737	116	8	received	receive	VERB
fcis-18737	116	9	strong	strong	ADJ
fcis-18737	116	10	support	support	NOUN
fcis-18737	116	11	from	from	ADP
fcis-18737	116	12	sichuan	sichuan	PROPN
fcis-18737	116	13	aerospace	aerospace	PROPN
fcis-18737	116	14	electro	electro	NOUN
fcis-18737	116	15	-	-	PUNCT
fcis-18737	116	16	hydraulic	hydraulic	NOUN
fcis-18737	116	17	control	control	NOUN
fcis-18737	116	18	corporation	corporation	NOUN
fcis-18737	116	19	,	,	PUNCT
fcis-18737	116	20	especially	especially	ADV
fcis-18737	116	21	in	in	ADP
fcis-18737	116	22	terms	term	NOUN
fcis-18737	116	23	of	of	ADP
fcis-18737	116	24	equipment	equipment	NOUN
fcis-18737	116	25	technology	technology	NOUN
fcis-18737	116	26	and	and	CCONJ
fcis-18737	116	27	human	human	ADJ
fcis-18737	116	28	resources	resource	NOUN
fcis-18737	116	29	sponsorship	sponsorship	NOUN
fcis-18737	116	30	.	.	PUNCT
fcis-18737	117	1	this	this	DET
fcis-18737	117	2	support	support	NOUN
fcis-18737	117	3	has	have	AUX
fcis-18737	117	4	greatly	greatly	ADV
fcis-18737	117	5	promoted	promote	VERB
fcis-18737	117	6	the	the	DET
fcis-18737	117	7	progress	progress	NOUN
fcis-18737	117	8	of	of	ADP
fcis-18737	117	9	our	our	PRON
fcis-18737	117	10	research	research	NOUN
fcis-18737	117	11	and	and	CCONJ
fcis-18737	117	12	enabled	enable	VERB
fcis-18737	117	13	us	we	PRON
fcis-18737	117	14	to	to	PART
fcis-18737	117	15	complete	complete	VERB
fcis-18737	117	16	this	this	DET
fcis-18737	117	17	work	work	NOUN
fcis-18737	117	18	.	.	PUNCT
fcis-18737	118	1	at	at	ADP
fcis-18737	118	2	the	the	DET
fcis-18737	118	3	same	same	ADJ
fcis-18737	118	4	time	time	NOUN
fcis-18737	118	5	,	,	PUNCT
fcis-18737	118	6	i	i	PRON
fcis-18737	118	7	would	would	AUX
fcis-18737	118	8	also	also	ADV
fcis-18737	118	9	like	like	VERB
fcis-18737	118	10	to	to	PART
fcis-18737	118	11	thank	thank	VERB
fcis-18737	118	12	the	the	DET
fcis-18737	118	13	research	research	NOUN
fcis-18737	118	14	and	and	CCONJ
fcis-18737	118	15	application	application	NOUN
fcis-18737	118	16	of	of	ADP
fcis-18737	118	17	intelligent	intelligent	ADJ
fcis-18737	118	18	monitoring	monitoring	NOUN
fcis-18737	118	19	and	and	CCONJ
fcis-18737	118	20	control	control	NOUN
fcis-18737	118	21	equipment	equipment	NOUN
fcis-18737	118	22	for	for	ADP
fcis-18737	118	23	steep	steep	ADJ
fcis-18737	118	24	seam(2022yfs0518	seam(2022yfs0518	PROPN
fcis-18737	118	25	)	)	PUNCT
fcis-18737	118	26	project	project	NOUN
fcis-18737	118	27	team	team	NOUN
fcis-18737	118	28	.	.	PUNCT
fcis-18737	119	1	the	the	DET
fcis-18737	119	2	research	research	NOUN
fcis-18737	119	3	of	of	ADP
fcis-18737	119	4	this	this	DET
fcis-18737	119	5	paper	paper	NOUN
fcis-18737	119	6	was	be	AUX
fcis-18737	119	7	conducted	conduct	VERB
fcis-18737	119	8	under	under	ADP
fcis-18737	119	9	the	the	DET
fcis-18737	119	10	auspices	auspex	NOUN
fcis-18737	119	11	of	of	ADP
fcis-18737	119	12	the	the	DET
fcis-18737	119	13	research	research	NOUN
fcis-18737	119	14	and	and	CCONJ
fcis-18737	119	15	application	application	NOUN
fcis-18737	119	16	of	of	ADP
fcis-18737	119	17	intelligent	intelligent	ADJ
fcis-18737	119	18	monitoring	monitoring	NOUN
fcis-18737	119	19	and	and	CCONJ
fcis-18737	119	20	control	control	NOUN
fcis-18737	119	21	equipment	equipment	NOUN
fcis-18737	119	22	for	for	ADP
fcis-18737	119	23	steep	steep	ADJ
fcis-18737	119	24	seam	seam	NOUN
fcis-18737	119	25	project	project	NOUN
fcis-18737	119	26	,	,	PUNCT
fcis-18737	119	27	and	and	CCONJ
fcis-18737	119	28	the	the	DET
fcis-18737	119	29	funds	fund	NOUN
fcis-18737	119	30	resources	resource	NOUN
fcis-18737	119	31	and	and	CCONJ
fcis-18737	119	32	platforms	platform	NOUN
fcis-18737	119	33	provided	provide	VERB
fcis-18737	119	34	by	by	ADP
fcis-18737	119	35	the	the	DET
fcis-18737	119	36	research	research	NOUN
fcis-18737	119	37	and	and	CCONJ
fcis-18737	119	38	application	application	NOUN
fcis-18737	119	39	of	of	ADP
fcis-18737	119	40	intelligent	intelligent	ADJ
fcis-18737	119	41	monitoring	monitoring	NOUN
fcis-18737	119	42	and	and	CCONJ
fcis-18737	119	43	control	control	NOUN
fcis-18737	119	44	equipment	equipment	NOUN
fcis-18737	119	45	for	for	ADP
fcis-18737	119	46	steep	steep	ADJ
fcis-18737	119	47	seam	seam	NOUN
fcis-18737	119	48	project	project	NOUN
fcis-18737	119	49	provided	provide	VERB
fcis-18737	119	50	us	we	PRON
fcis-18737	119	51	with	with	ADP
fcis-18737	119	52	valuable	valuable	ADJ
fcis-18737	119	53	research	research	NOUN
fcis-18737	119	54	conditions	condition	NOUN
fcis-18737	119	55	.	.	PUNCT
fcis-18737	120	1	we	we	PRON
fcis-18737	120	2	sincerely	sincerely	ADV
fcis-18737	120	3	thank	thank	VERB
fcis-18737	120	4	the	the	DET
fcis-18737	120	5	research	research	NOUN
fcis-18737	120	6	and	and	CCONJ
fcis-18737	120	7	application	application	NOUN
fcis-18737	120	8	of	of	ADP
fcis-18737	120	9	intelligent	intelligent	ADJ
fcis-18737	120	10	monitoring	monitoring	NOUN
fcis-18737	120	11	and	and	CCONJ
fcis-18737	120	12	control	control	NOUN
fcis-18737	120	13	equipment	equipment	NOUN
fcis-18737	120	14	for	for	ADP
fcis-18737	120	15	steep	steep	ADJ
fcis-18737	120	16	seam	seam	NOUN
fcis-18737	120	17	project	project	NOUN
fcis-18737	120	18	team	team	NOUN
fcis-18737	120	19	for	for	ADP
fcis-18737	120	20	their	their	PRON
fcis-18737	120	21	support	support	NOUN
fcis-18737	120	22	and	and	CCONJ
fcis-18737	120	23	assistance	assistance	NOUN
fcis-18737	120	24	in	in	ADP
fcis-18737	120	25	our	our	PRON
fcis-18737	120	26	research	research	NOUN
fcis-18737	120	27	,	,	PUNCT
fcis-18737	120	28	which	which	PRON
fcis-18737	120	29	was	be	AUX
fcis-18737	120	30	crucial	crucial	ADJ
fcis-18737	120	31	to	to	ADP
fcis-18737	120	32	our	our	PRON
fcis-18737	120	33	work	work	NOUN
fcis-18737	120	34	.	.	PUNCT
fcis-18737	121	1	finally	finally	ADV
fcis-18737	121	2	,	,	PUNCT
fcis-18737	121	3	thank	thank	VERB
fcis-18737	121	4	you	you	PRON
fcis-18737	121	5	again	again	ADV
fcis-18737	121	6	for	for	ADP
fcis-18737	121	7	the	the	DET
fcis-18737	121	8	sponsorship	sponsorship	NOUN
fcis-18737	121	9	and	and	CCONJ
fcis-18737	121	10	support	support	NOUN
fcis-18737	121	11	of	of	ADP
fcis-18737	121	12	sichuan	sichuan	PROPN
fcis-18737	121	13	aerospace	aerospace	PROPN
fcis-18737	121	14	electro	electro	NOUN
fcis-18737	121	15	-	-	PUNCT
fcis-18737	121	16	hydraulic	hydraulic	NOUN
fcis-18737	121	17	control	control	NOUN
fcis-18737	121	18	corporation	corporation	NOUN
fcis-18737	121	19	and	and	CCONJ
fcis-18737	121	20	research	research	NOUN
fcis-18737	121	21	and	and	CCONJ
fcis-18737	121	22	application	application	NOUN
fcis-18737	121	23	of	of	ADP
fcis-18737	121	24	intelligent	intelligent	ADJ
fcis-18737	121	25	monitoring	monitoring	NOUN
fcis-18737	121	26	and	and	CCONJ
fcis-18737	121	27	control	control	NOUN
fcis-18737	121	28	equipment	equipment	NOUN
fcis-18737	121	29	for	for	ADP
fcis-18737	121	30	steep	steep	ADJ
fcis-18737	121	31	seam	seam	NOUN
fcis-18737	121	32	for	for	ADP
fcis-18737	121	33	this	this	DET
fcis-18737	121	34	thesis	thesis	NOUN
fcis-18737	121	35	research	research	NOUN
fcis-18737	121	36	.	.	PUNCT
fcis-18737	122	1	references	reference	NOUN
fcis-18737	122	2	[	[	X
fcis-18737	122	3	1	1	NUM
fcis-18737	122	4	]	]	PUNCT
fcis-18737	122	5	wu	wu	PROPN
fcis-18737	122	6	yin	yin	PROPN
fcis-18737	122	7	,	,	PUNCT
fcis-18737	122	8	research	research	NOUN
fcis-18737	122	9	group	group	NOUN
fcis-18737	122	10	on	on	ADP
fcis-18737	122	11	china	china	PROPN
fcis-18737	122	12	mining	mining	PROPN
fcis-18737	122	13	(	(	PUNCT
fcis-18737	122	14	beijing	beijing	PROPN
fcis-18737	122	15	)	)	PUNCT
fcis-18737	122	16	coal	coal	NOUN
fcis-18737	122	17	industry	industry	NOUN
fcis-18737	122	18	prosperity	prosperity	NOUN
fcis-18737	122	19	index	index	NOUN
fcis-18737	122	20	research	research	NOUN
fcis-18737	122	21	report	report	NOUN
fcis-18737	122	22	on	on	ADP
fcis-18737	122	23	the	the	DET
fcis-18737	122	24	economic	economic	ADJ
fcis-18737	122	25	situation	situation	NOUN
fcis-18737	122	26	of	of	ADP
fcis-18737	122	27	china	china	PROPN
fcis-18737	122	28	's	's	PART
fcis-18737	122	29	coal	coal	NOUN
fcis-18737	122	30	industry	industry	NOUN
fcis-18737	122	31	from	from	ADP
fcis-18737	122	32	2022	2022	NUM
fcis-18737	122	33	to	to	ADP
fcis-18737	122	34	2023	2023	NUM
fcis-18737	122	35	[	[	X
fcis-18737	122	36	j	j	X
fcis-18737	122	37	]	]	X
fcis-18737	122	38	china	china	PROPN
fcis-18737	122	39	coal	coal	PROPN
fcis-18737	122	40	,	,	PUNCT
fcis-18737	122	41	2023	2023	NUM
fcis-18737	122	42	,	,	PUNCT
fcis-18737	122	43	49	49	NUM
fcis-18737	122	44	(	(	PUNCT
fcis-18737	122	45	03	03	NUM
fcis-18737	122	46	):	):	PUNCT
fcis-18737	122	47	2	2	NUM
fcis-18737	122	48	-	-	SYM
fcis-18737	122	49	10	10	NUM
fcis-18737	122	50	.	.	PUNCT
fcis-18737	123	1	[	[	X
fcis-18737	123	2	2	2	NUM
fcis-18737	123	3	]	]	X
fcis-18737	123	4	niu	niu	PROPN
fcis-18737	123	5	kehong	kehong	PROPN
fcis-18737	123	6	,	,	PUNCT
fcis-18737	123	7	niu	niu	PROPN
fcis-18737	123	8	tianyong	tianyong	PROPN
fcis-18737	123	9	,	,	PUNCT
fcis-18737	123	10	liu	liu	PROPN
fcis-18737	123	11	mingyu	mingyu	PROPN
fcis-18737	123	12	research	research	PROPN
fcis-18737	123	13	on	on	ADP
fcis-18737	123	14	the	the	DET
fcis-18737	123	15	development	development	NOUN
fcis-18737	123	16	trend	trend	NOUN
fcis-18737	123	17	of	of	ADP
fcis-18737	123	18	the	the	DET
fcis-18737	123	19	coal	coal	NOUN
fcis-18737	123	20	industry	industry	NOUN
fcis-18737	123	21	based	base	VERB
fcis-18737	123	22	on	on	ADP
fcis-18737	123	23	innovative	innovative	ADJ
fcis-18737	123	24	trend	trend	NOUN
fcis-18737	123	25	analysis	analysis	NOUN
fcis-18737	123	26	method	method	NOUN
fcis-18737	123	27	[	[	X
fcis-18737	123	28	j	j	X
fcis-18737	123	29	]	]	X
fcis-18737	123	30	china	china	PROPN
fcis-18737	123	31	coal	coal	PROPN
fcis-18737	123	32	,	,	PUNCT
fcis-18737	123	33	2023	2023	NUM
fcis-18737	123	34	,	,	PUNCT
fcis-18737	123	35	49	49	NUM
fcis-18737	123	36	(	(	PUNCT
fcis-18737	123	37	03	03	NUM
fcis-18737	123	38	):	):	PUNCT
fcis-18737	123	39	11	11	NUM
fcis-18737	123	40	-	-	SYM
fcis-18737	123	41	15	15	NUM
fcis-18737	123	42	.	.	PUNCT
fcis-18737	124	1	[	[	X
fcis-18737	124	2	3	3	NUM
fcis-18737	124	3	]	]	X
fcis-18737	124	4	li	li	PROPN
fcis-18737	124	5	junqing	junqing	PROPN
fcis-18737	124	6	,	,	PUNCT
fcis-18737	124	7	li	li	PROPN
fcis-18737	124	8	yinqi	yinqi	PROPN
fcis-18737	124	9	research	research	PROPN
fcis-18737	124	10	on	on	ADP
fcis-18737	124	11	economic	economic	ADJ
fcis-18737	124	12	trends	trend	NOUN
fcis-18737	124	13	of	of	ADP
fcis-18737	124	14	the	the	DET
fcis-18737	124	15	coal	coal	NOUN
fcis-18737	124	16	industry	industry	NOUN
fcis-18737	124	17	and	and	CCONJ
fcis-18737	124	18	countermeasures	countermeasure	NOUN
fcis-18737	124	19	for	for	ADP
fcis-18737	124	20	coal	coal	NOUN
fcis-18737	124	21	enterprises	enterprise	NOUN
fcis-18737	124	22	[	[	X
fcis-18737	124	23	j	j	X
fcis-18737	124	24	]	]	X
fcis-18737	124	25	china	china	PROPN
fcis-18737	124	26	coal	coal	PROPN
fcis-18737	124	27	,	,	PUNCT
fcis-18737	124	28	2023	2023	NUM
fcis-18737	124	29	,	,	PUNCT
fcis-18737	124	30	49	49	NUM
fcis-18737	124	31	(	(	PUNCT
fcis-18737	124	32	03	03	NUM
fcis-18737	124	33	):	):	PUNCT
fcis-18737	124	34	16	16	NUM
fcis-18737	124	35	-	-	SYM
fcis-18737	124	36	22	22	NUM
fcis-18737	124	37	.	.	PUNCT
fcis-18737	125	1	[	[	X
fcis-18737	125	2	4	4	X
fcis-18737	125	3	]	]	X
fcis-18737	125	4	liu	liu	PROPN
fcis-18737	125	5	feng	feng	PROPN
fcis-18737	125	6	,	,	PUNCT
fcis-18737	125	7	guo	guo	PROPN
fcis-18737	125	8	linfeng	linfeng	PROPN
fcis-18737	125	9	,	,	PUNCT
fcis-18737	125	10	zhao	zhao	PROPN
fcis-18737	125	11	luzheng	luzheng	PROPN
fcis-18737	125	12	coal	coal	PROPN
fcis-18737	125	13	safety	safety	NOUN
fcis-18737	125	14	zone	zone	NOUN
fcis-18737	125	15	and	and	CCONJ
fcis-18737	125	16	green	green	ADJ
fcis-18737	125	17	low	low	ADJ
fcis-18737	125	18	-	-	PUNCT
fcis-18737	125	19	carbon	carbon	NOUN
fcis-18737	125	20	technology	technology	NOUN
fcis-18737	125	21	path	path	NOUN
fcis-18737	125	22	under	under	ADP
fcis-18737	125	23	the	the	DET
fcis-18737	125	24	dual	dual	ADJ
fcis-18737	125	25	carbon	carbon	NOUN
fcis-18737	125	26	background	background	NOUN
fcis-18737	125	27	[	[	X
fcis-18737	125	28	j	j	X
fcis-18737	125	29	]	]	X
fcis-18737	125	30	journal	journal	PROPN
fcis-18737	125	31	of	of	ADP
fcis-18737	125	32	coal	coal	NOUN
fcis-18737	125	33	science	science	NOUN
fcis-18737	125	34	,	,	PUNCT
fcis-18737	125	35	2022	2022	NUM
fcis-18737	125	36	,	,	PUNCT
fcis-18737	125	37	47	47	NUM
fcis-18737	125	38	(	(	PUNCT
fcis-18737	125	39	01	01	NUM
fcis-18737	125	40	):	):	PUNCT
fcis-18737	125	41	1	1	NUM
fcis-18737	125	42	-	-	SYM
fcis-18737	125	43	15	15	NUM
fcis-18737	125	44	.	.	PUNCT
fcis-18737	126	1	[	[	X
fcis-18737	126	2	5	5	X
fcis-18737	126	3	]	]	X
fcis-18737	126	4	peng	peng	PROPN
fcis-18737	126	5	suping	sup	VERB
fcis-18737	126	6	current	current	ADJ
fcis-18737	126	7	status	status	NOUN
fcis-18737	126	8	and	and	CCONJ
fcis-18737	126	9	prospects	prospect	NOUN
fcis-18737	126	10	of	of	ADP
fcis-18737	126	11	research	research	NOUN
fcis-18737	126	12	on	on	ADP
fcis-18737	126	13	the	the	DET
fcis-18737	126	14	geological	geological	ADJ
fcis-18737	126	15	guarantee	guarantee	NOUN
fcis-18737	126	16	system	system	NOUN
fcis-18737	126	17	for	for	ADP
fcis-18737	126	18	safe	safe	ADJ
fcis-18737	126	19	and	and	CCONJ
fcis-18737	126	20	efficient	efficient	ADJ
fcis-18737	126	21	mining	mining	NOUN
fcis-18737	126	22	of	of	ADP
fcis-18737	126	23	coal	coal	NOUN
fcis-18737	126	24	mines	mine	NOUN
fcis-18737	126	25	in	in	ADP
fcis-18737	126	26	china	china	PROPN
fcis-18737	126	27	[	[	X
fcis-18737	126	28	j	j	X
fcis-18737	126	29	]	]	X
fcis-18737	126	30	journal	journal	PROPN
fcis-18737	126	31	of	of	ADP
fcis-18737	126	32	coal	coal	NOUN
fcis-18737	126	33	science	science	NOUN
fcis-18737	126	34	,	,	PUNCT
fcis-18737	126	35	2020	2020	NUM
fcis-18737	126	36	,	,	PUNCT
fcis-18737	126	37	45	45	NUM
fcis-18737	126	38	(	(	PUNCT
fcis-18737	126	39	07	07	NUM
fcis-18737	126	40	):	):	PUNCT
fcis-18737	126	41	2331	2331	NUM
fcis-18737	126	42	-	-	SYM
fcis-18737	126	43	2345	2345	NUM
fcis-18737	126	44	.	.	PUNCT
fcis-18737	127	1	[	[	X
fcis-18737	127	2	6	6	NUM
fcis-18737	127	3	]	]	X
fcis-18737	127	4	feng	feng	PROPN
fcis-18737	127	5	qiang	qiang	PROPN
fcis-18737	127	6	,	,	PUNCT
fcis-18737	127	7	he	he	PRON
fcis-18737	127	8	rongpeng	rongpeng	PROPN
fcis-18737	127	9	,	,	PUNCT
fcis-18737	127	10	lan	lan	PROPN
fcis-18737	127	11	kangping	kangpe	VERB
fcis-18737	127	12	research	research	NOUN
fcis-18737	127	13	on	on	ADP
fcis-18737	127	14	high	high	ADJ
fcis-18737	127	15	speed	speed	NOUN
fcis-18737	127	16	and	and	CCONJ
fcis-18737	127	17	large	large	ADJ
fcis-18737	127	18	capacity	capacity	NOUN
fcis-18737	127	19	communication	communication	NOUN
fcis-18737	127	20	system	system	NOUN
fcis-18737	127	21	for	for	ADP
fcis-18737	127	22	fully	fully	ADV
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fcis-18737	127	25	face	face	NOUN
fcis-18737	127	26	based	base	VERB
fcis-18737	127	27	on	on	ADP
fcis-18737	127	28	ethernet	ethernet	NOUN
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fcis-18737	127	30	j	j	X
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fcis-18737	127	35	economy	economy	NOUN
fcis-18737	127	36	,	,	PUNCT
fcis-18737	127	37	2022	2022	NUM
fcis-18737	127	38	(	(	PUNCT
fcis-18737	127	39	17	17	NUM
fcis-18737	127	40	):	):	PUNCT
fcis-18737	127	41	10	10	NUM
fcis-18737	127	42	-	-	SYM
fcis-18737	127	43	13	13	NUM
fcis-18737	127	44	.	.	PUNCT
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fcis-18737	128	8	safety	safety	NOUN
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fcis-18737	128	10	technology	technology	NOUN
fcis-18737	128	11	of	of	ADP
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fcis-18737	128	13	mine	mine	NOUN
fcis-18737	128	14	5	5	NUM
fcis-18737	128	15	g	g	NOUN
fcis-18737	128	16	communication	communication	NOUN
fcis-18737	128	17	system	system	NOUN
fcis-18737	128	18	[	[	X
fcis-18737	128	19	j	j	X
fcis-18737	128	20	]	]	X
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fcis-18737	128	22	and	and	CCONJ
fcis-18737	128	23	mining	mining	NOUN
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fcis-18737	128	25	,	,	PUNCT
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fcis-18737	128	28	012	012	NUM
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fcis-18737	129	1	[	[	X
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fcis-18737	129	3	]	]	X
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fcis-18737	129	10	structure	structure	NOUN
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fcis-18737	129	12	a	a	DET
fcis-18737	129	13	new	new	ADJ
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fcis-18737	129	15	fan[j	fan[j	NOUN
fcis-18737	129	16	]	]	PUNCT
fcis-18737	129	17	.	.	PUNCT
fcis-18737	130	1	mechanical	mechanical	ADJ
fcis-18737	130	2	management	management	NOUN
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fcis-18737	130	4	development	development	NOUN
fcis-18737	130	5	,	,	PUNCT
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fcis-18737	130	7	.	.	PUNCT
fcis-18737	131	1	[	[	X
fcis-18737	131	2	9	9	NUM
fcis-18737	131	3	]	]	X
fcis-18737	131	4	feng	feng	PROPN
fcis-18737	131	5	t	t	PROPN
fcis-18737	131	6	,	,	PUNCT
fcis-18737	131	7	guan	guan	PROPN
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fcis-18737	131	14	l	l	PROPN
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fcis-18737	131	16	.	.	PUNCT
fcis-18737	132	1	noise	noise	NOUN
fcis-18737	132	2	reduction	reduction	NOUN
fcis-18737	132	3	analysis	analysis	NOUN
fcis-18737	132	4	and	and	CCONJ
fcis-18737	132	5	countermeasure	countermeasure	NOUN
fcis-18737	132	6	of	of	ADP
fcis-18737	132	7	main	main	ADJ
fcis-18737	132	8	ventilation	ventilation	NOUN
fcis-18737	132	9	drainage	drainage	NOUN
fcis-18737	132	10	port	port	NOUN
fcis-18737	132	11	of	of	ADP
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fcis-18737	133	1	[	[	X
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fcis-18737	133	3	]	]	X
fcis-18737	133	4	.	.	PUNCT
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fcis-18737	134	2	chemical	chemical	PROPN
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fcis-18737	134	4	,	,	PUNCT
fcis-18737	134	5	2019	2019	NUM
fcis-18737	134	6	.	.	PUNCT
fcis-18737	135	1	[	[	X
fcis-18737	135	2	10	10	NUM
fcis-18737	135	3	]	]	X
fcis-18737	135	4	chen	chen	PROPN
fcis-18737	135	5	zhiqiang	zhiqiang	PROPN
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fcis-18737	135	7	of	of	ADP
fcis-18737	135	8	self	self	NOUN
fcis-18737	135	9	-	-	PUNCT
fcis-18737	135	10	made	make	VERB
fcis-18737	135	11	noise	noise	NOUN
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fcis-18737	135	13	facilities	facility	NOUN
fcis-18737	135	14	for	for	ADP
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fcis-18737	135	16	local	local	ADJ
fcis-18737	135	17	ventilation	ventilation	NOUN
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fcis-18737	136	1	[	[	X
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fcis-18737	136	3	]	]	X
fcis-18737	136	4	shandong	shandong	PROPN
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fcis-18737	136	7	,	,	PUNCT
fcis-18737	136	8	2022	2022	NUM
fcis-18737	136	9	,	,	PUNCT
fcis-18737	136	10	40	40	NUM
fcis-18737	136	11	(	(	PUNCT
fcis-18737	136	12	09	09	NUM
fcis-18737	136	13	):	):	PUNCT
fcis-18737	136	14	139	139	NUM
fcis-18737	136	15	-	-	SYM
fcis-18737	136	16	141	141	NUM
fcis-18737	136	17	.	.	PUNCT
fcis-18737	137	1	[	[	X
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fcis-18737	137	3	]	]	X
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fcis-18737	137	6	c.	c.	PROPN
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fcis-18737	137	8	,	,	PUNCT
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fcis-18737	137	14	,	,	PUNCT
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fcis-18737	137	18	n.	n.	PROPN
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fcis-18737	137	23	sound	sound	NOUN
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fcis-18737	137	26	on	on	ADP
fcis-18737	137	27	complete	complete	ADJ
fcis-18737	137	28	ensemble	ensemble	ADJ
fcis-18737	137	29	empirical	empirical	ADJ
fcis-18737	137	30	mode	mode	NOUN
fcis-18737	137	31	decomposition	decomposition	NOUN
fcis-18737	137	32	with	with	ADP
fcis-18737	137	33	adaptive	adaptive	ADJ
fcis-18737	137	34	noise	noise	NOUN
fcis-18737	137	35	and	and	CCONJ
fcis-18737	137	36	an	an	DET
fcis-18737	137	37	improved	improved	ADJ
fcis-18737	137	38	fruit	fruit	NOUN
fcis-18737	137	39	fly	fly	NOUN
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fcis-18737	137	42	.	.	PUNCT
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fcis-18737	138	3	,	,	PUNCT
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fcis-18737	138	5	,	,	PUNCT
fcis-18737	138	6	412	412	NUM
fcis-18737	138	7	.	.	PUNCT
fcis-18737	139	1	[	[	X
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fcis-18737	139	4	zhang	zhang	PROPN
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fcis-18737	139	6	,	,	PUNCT
fcis-18737	139	7	zhang	zhang	PROPN
fcis-18737	139	8	jianying	jianying	PROPN
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fcis-18737	139	10	xu	xu	PROPN
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fcis-18737	140	3	on	on	ADP
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fcis-18737	140	5	application	application	NOUN
fcis-18737	140	6	of	of	ADP
fcis-18737	140	7	wavelet	wavelet	NOUN
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fcis-18737	140	9	denoising	denoise	VERB
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fcis-18737	140	14	[	[	X
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fcis-18737	140	16	]	]	X
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fcis-18737	140	25	(	(	PUNCT
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fcis-18737	140	27	):	):	PUNCT
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fcis-18737	140	29	-	-	SYM
fcis-18737	140	30	54	54	NUM
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fcis-18737	141	1	[	[	X
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fcis-18737	141	3	]	]	PUNCT
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fcis-18737	141	6	.	.	PUNCT
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fcis-18737	142	2	on	on	ADP
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fcis-18737	142	10	[	[	X
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fcis-18737	151	1	[	[	X
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fcis-18737	151	3	]	]	X
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fcis-18737	152	1	[	[	X
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fcis-18737	154	1	[	[	X
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fcis-18737	156	1	[	[	X
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fcis-18737	157	1	[	[	X
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fcis-18737	164	17	]	]	PUNCT
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fcis-18737	165	5	,	,	PUNCT
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