id	sid	tid	token	lemma	pos
fcis-30253	1	1	frontiers	frontier	NOUN
fcis-30253	1	2	in	in	ADP
fcis-30253	1	3	computing	computing	NOUN
fcis-30253	1	4	and	and	CCONJ
fcis-30253	1	5	intelligent	intelligent	ADJ
fcis-30253	1	6	systems	system	NOUN
fcis-30253	1	7	issn	issn	VERB
fcis-30253	1	8	:	:	PUNCT
fcis-30253	1	9	2832	2832	NUM
fcis-30253	1	10	-	-	SYM
fcis-30253	1	11	6024	6024	NUM
fcis-30253	1	12	|	|	NOUN
fcis-30253	1	13	vol	vol	NOUN
fcis-30253	1	14	.	.	PROPN
fcis-30253	2	1	11	11	NUM
fcis-30253	2	2	,	,	PUNCT
fcis-30253	2	3	no	no	INTJ
fcis-30253	2	4	.	.	NOUN
fcis-30253	2	5	3	3	NUM
fcis-30253	2	6	,	,	PUNCT
fcis-30253	2	7	2025	2025	NUM
fcis-30253	2	8	149	149	NUM
fcis-30253	2	9	research	research	NOUN
fcis-30253	2	10	on	on	ADP
fcis-30253	2	11	intelligent	intelligent	ADJ
fcis-30253	2	12	anti‐jamming	anti‐jamming	NOUN
fcis-30253	2	13	for	for	ADP
fcis-30253	2	14	data	datum	NOUN
fcis-30253	2	15	links	link	NOUN
fcis-30253	2	16	based	base	VERB
fcis-30253	2	17	on	on	ADP
fcis-30253	2	18	cv‐r‐bilstm‐a	cv‐r‐bilstm‐a	NOUN
fcis-30253	2	19	interference	interference	NOUN
fcis-30253	2	20	recognition	recognition	NOUN
fcis-30253	2	21	network	network	PROPN
fcis-30253	2	22	xiaoyu	xiaoyu	PROPN
fcis-30253	2	23	zhang	zhang	PROPN
fcis-30253	2	24	,	,	PUNCT
fcis-30253	3	1	xiang	xiang	PROPN
fcis-30253	3	2	ji	ji	PROPN
fcis-30253	3	3	,	,	PUNCT
fcis-30253	3	4	yize	yize	PROPN
fcis-30253	3	5	li	li	PROPN
fcis-30253	3	6	xijing	xijing	PROPN
fcis-30253	3	7	university	university	PROPN
fcis-30253	3	8	,	,	PUNCT
fcis-30253	3	9	xi'an	xi'an	PROPN
fcis-30253	3	10	,	,	PUNCT
fcis-30253	3	11	shaanxi	shaanxi	PROPN
fcis-30253	3	12	,	,	PUNCT
fcis-30253	3	13	china	china	PROPN
fcis-30253	3	14	abstract	abstract	PROPN
fcis-30253	3	15	:	:	PUNCT
fcis-30253	3	16	the	the	DET
fcis-30253	3	17	interference	interference	NOUN
fcis-30253	3	18	recognition	recognition	NOUN
fcis-30253	3	19	module	module	NOUN
fcis-30253	3	20	,	,	PUNCT
fcis-30253	3	21	as	as	ADP
fcis-30253	3	22	a	a	DET
fcis-30253	3	23	key	key	ADJ
fcis-30253	3	24	part	part	NOUN
fcis-30253	3	25	of	of	ADP
fcis-30253	3	26	intelligent	intelligent	ADJ
fcis-30253	3	27	anti	anti	ADJ
fcis-30253	3	28	-	-	ADJ
fcis-30253	3	29	jamming	jamming	ADJ
fcis-30253	3	30	models	model	NOUN
fcis-30253	3	31	,	,	PUNCT
fcis-30253	3	32	is	be	AUX
fcis-30253	3	33	the	the	DET
fcis-30253	3	34	cornerstone	cornerstone	NOUN
fcis-30253	3	35	of	of	ADP
fcis-30253	3	36	intelligent	intelligent	ADJ
fcis-30253	3	37	anti	anti	ADJ
fcis-30253	3	38	-	-	ADJ
fcis-30253	3	39	jamming	jamming	ADJ
fcis-30253	3	40	technology	technology	NOUN
fcis-30253	3	41	.	.	PUNCT
fcis-30253	4	1	in	in	ADP
fcis-30253	4	2	data	data	PROPN
fcis-30253	4	3	link	link	NOUN
fcis-30253	4	4	communications	communication	NOUN
fcis-30253	4	5	,	,	PUNCT
fcis-30253	4	6	if	if	SCONJ
fcis-30253	4	7	interference	interference	NOUN
fcis-30253	4	8	can	can	AUX
fcis-30253	4	9	be	be	AUX
fcis-30253	4	10	effectively	effectively	ADV
fcis-30253	4	11	detected	detect	VERB
fcis-30253	4	12	and	and	CCONJ
fcis-30253	4	13	the	the	DET
fcis-30253	4	14	type	type	NOUN
fcis-30253	4	15	of	of	ADP
fcis-30253	4	16	interference	interference	NOUN
fcis-30253	4	17	signal	signal	NOUN
fcis-30253	4	18	identified	identify	VERB
fcis-30253	4	19	,	,	PUNCT
fcis-30253	4	20	effective	effective	ADJ
fcis-30253	4	21	anti	anti	ADJ
fcis-30253	4	22	-	-	ADJ
fcis-30253	4	23	jamming	jamming	ADJ
fcis-30253	4	24	measures	measure	NOUN
fcis-30253	4	25	can	can	AUX
fcis-30253	4	26	be	be	AUX
fcis-30253	4	27	implemented	implement	VERB
fcis-30253	4	28	to	to	PART
fcis-30253	4	29	mitigate	mitigate	VERB
fcis-30253	4	30	the	the	DET
fcis-30253	4	31	impact	impact	NOUN
fcis-30253	4	32	of	of	ADP
fcis-30253	4	33	interference	interference	NOUN
fcis-30253	4	34	on	on	ADP
fcis-30253	4	35	communication	communication	NOUN
fcis-30253	4	36	quality	quality	NOUN
fcis-30253	4	37	.	.	PUNCT
fcis-30253	5	1	given	give	VERB
fcis-30253	5	2	the	the	DET
fcis-30253	5	3	current	current	ADJ
fcis-30253	5	4	lack	lack	NOUN
fcis-30253	5	5	of	of	ADP
fcis-30253	5	6	interference	interference	NOUN
fcis-30253	5	7	signal	signal	NOUN
fcis-30253	5	8	recognition	recognition	NOUN
fcis-30253	5	9	methods	method	NOUN
fcis-30253	5	10	and	and	CCONJ
fcis-30253	5	11	the	the	DET
fcis-30253	5	12	low	low	ADJ
fcis-30253	5	13	overall	overall	ADJ
fcis-30253	5	14	recognition	recognition	NOUN
fcis-30253	5	15	rate	rate	NOUN
fcis-30253	5	16	of	of	ADP
fcis-30253	5	17	existing	exist	VERB
fcis-30253	5	18	methods	method	NOUN
fcis-30253	5	19	,	,	PUNCT
fcis-30253	5	20	this	this	DET
fcis-30253	5	21	paper	paper	NOUN
fcis-30253	5	22	proposes	propose	VERB
fcis-30253	5	23	an	an	DET
fcis-30253	5	24	interference	interference	NOUN
fcis-30253	5	25	recognition	recognition	NOUN
fcis-30253	5	26	network	network	NOUN
fcis-30253	5	27	method	method	NOUN
fcis-30253	5	28	based	base	VERB
fcis-30253	5	29	on	on	ADP
fcis-30253	5	30	complex	complex	ADV
fcis-30253	5	31	-	-	PUNCT
fcis-30253	5	32	valued	value	VERB
fcis-30253	5	33	residual	residual	ADJ
fcis-30253	5	34	bidirectional	bidirectional	ADJ
fcis-30253	5	35	long	long	ADJ
fcis-30253	5	36	short	short	ADJ
fcis-30253	5	37	-	-	PUNCT
fcis-30253	5	38	term	term	NOUN
fcis-30253	5	39	memory	memory	NOUN
fcis-30253	5	40	attention	attention	NOUN
fcis-30253	5	41	(	(	PUNCT
fcis-30253	5	42	cv	cv	NOUN
fcis-30253	5	43	-	-	PUNCT
fcis-30253	5	44	r	r	NOUN
fcis-30253	5	45	-	-	PUNCT
fcis-30253	5	46	bilstm	bilstm	NOUN
fcis-30253	5	47	-	-	PUNCT
fcis-30253	5	48	a	a	NOUN
fcis-30253	5	49	)	)	PUNCT
fcis-30253	5	50	to	to	PART
fcis-30253	5	51	identify	identify	VERB
fcis-30253	5	52	interference	interference	NOUN
fcis-30253	5	53	signals	signal	NOUN
fcis-30253	5	54	.	.	PUNCT
fcis-30253	6	1	this	this	DET
fcis-30253	6	2	network	network	NOUN
fcis-30253	6	3	improves	improve	VERB
fcis-30253	6	4	the	the	DET
fcis-30253	6	5	overall	overall	ADJ
fcis-30253	6	6	recognition	recognition	NOUN
fcis-30253	6	7	rate	rate	NOUN
fcis-30253	6	8	by	by	ADP
fcis-30253	6	9	about	about	ADV
fcis-30253	6	10	10	10	NUM
fcis-30253	6	11	%	%	NOUN
fcis-30253	6	12	.	.	PUNCT
fcis-30253	7	1	when	when	SCONJ
fcis-30253	7	2	the	the	DET
fcis-30253	7	3	signal	signal	NOUN
fcis-30253	7	4	-	-	PUNCT
fcis-30253	7	5	to	to	ADP
fcis-30253	7	6	-	-	PUNCT
fcis-30253	7	7	noise	noise	NOUN
fcis-30253	7	8	ratio	ratio	NOUN
fcis-30253	7	9	(	(	PUNCT
fcis-30253	7	10	snr	snr	PROPN
fcis-30253	7	11	)	)	PUNCT
fcis-30253	7	12	is	be	AUX
fcis-30253	7	13	greater	great	ADJ
fcis-30253	7	14	than	than	ADP
fcis-30253	7	15	5	5	NUM
fcis-30253	7	16	db	db	PROPN
fcis-30253	7	17	,	,	PUNCT
fcis-30253	7	18	the	the	DET
fcis-30253	7	19	recognition	recognition	NOUN
fcis-30253	7	20	ability	ability	NOUN
fcis-30253	7	21	of	of	ADP
fcis-30253	7	22	the	the	DET
fcis-30253	7	23	cv	cv	PROPN
fcis-30253	7	24	-	-	PUNCT
fcis-30253	7	25	r	r	NOUN
fcis-30253	7	26	-	-	PUNCT
fcis-30253	7	27	bilstm	bilstm	NOUN
fcis-30253	7	28	-	-	PUNCT
fcis-30253	7	29	a	a	DET
fcis-30253	7	30	network	network	NOUN
fcis-30253	7	31	is	be	AUX
fcis-30253	7	32	more	more	ADV
fcis-30253	7	33	advantageous	advantageous	ADJ
fcis-30253	7	34	,	,	PUNCT
fcis-30253	7	35	with	with	ADP
fcis-30253	7	36	a	a	DET
fcis-30253	7	37	recognition	recognition	NOUN
fcis-30253	7	38	rate	rate	NOUN
fcis-30253	7	39	of	of	ADP
fcis-30253	7	40	over	over	ADP
fcis-30253	7	41	95	95	NUM
fcis-30253	7	42	%	%	NOUN
fcis-30253	7	43	,	,	PUNCT
fcis-30253	7	44	while	while	SCONJ
fcis-30253	7	45	other	other	ADJ
fcis-30253	7	46	networks	network	NOUN
fcis-30253	7	47	have	have	VERB
fcis-30253	7	48	recognition	recognition	NOUN
fcis-30253	7	49	rates	rate	NOUN
fcis-30253	7	50	between	between	ADP
fcis-30253	7	51	80	80	NUM
fcis-30253	7	52	%	%	NOUN
fcis-30253	7	53	and	and	CCONJ
fcis-30253	7	54	90	90	NUM
fcis-30253	7	55	%	%	NOUN
fcis-30253	7	56	.	.	PUNCT
fcis-30253	8	1	keywords	keyword	NOUN
fcis-30253	8	2	:	:	PUNCT
fcis-30253	8	3	cv	cv	ADJ
fcis-30253	8	4	-	-	PUNCT
fcis-30253	8	5	r	r	NOUN
fcis-30253	8	6	-	-	PUNCT
fcis-30253	8	7	bilstm	bilstm	NOUN
fcis-30253	8	8	-	-	PUNCT
fcis-30253	8	9	a	a	DET
fcis-30253	8	10	interference	interference	NOUN
fcis-30253	8	11	recognition	recognition	NOUN
fcis-30253	8	12	network	network	NOUN
fcis-30253	8	13	;	;	PUNCT
fcis-30253	8	14	intelligent	intelligent	ADJ
fcis-30253	8	15	anti	anti	ADJ
fcis-30253	8	16	-	-	ADJ
fcis-30253	8	17	jamming	jamming	NOUN
fcis-30253	8	18	for	for	ADP
fcis-30253	8	19	data	datum	NOUN
fcis-30253	8	20	links	link	NOUN
fcis-30253	8	21	;	;	PUNCT
fcis-30253	8	22	interference	interference	NOUN
fcis-30253	8	23	recognition	recognition	NOUN
fcis-30253	8	24	module	module	NOUN
fcis-30253	8	25	.	.	PUNCT
fcis-30253	9	1	1	1	X
fcis-30253	9	2	.	.	X
fcis-30253	9	3	introduction	introduction	NOUN
fcis-30253	9	4	with	with	ADP
fcis-30253	9	5	the	the	DET
fcis-30253	9	6	development	development	NOUN
fcis-30253	9	7	of	of	ADP
fcis-30253	9	8	information	information	NOUN
fcis-30253	9	9	technology	technology	NOUN
fcis-30253	9	10	,	,	PUNCT
fcis-30253	9	11	informatization	informatization	NOUN
fcis-30253	9	12	and	and	CCONJ
fcis-30253	9	13	networking	network	VERB
fcis-30253	9	14	dominate	dominate	VERB
fcis-30253	9	15	modern	modern	ADJ
fcis-30253	9	16	warfare	warfare	NOUN
fcis-30253	9	17	.	.	PUNCT
fcis-30253	10	1	mastering	master	VERB
fcis-30253	10	2	the	the	DET
fcis-30253	10	3	initiative	initiative	NOUN
fcis-30253	10	4	of	of	ADP
fcis-30253	10	5	information	information	NOUN
fcis-30253	10	6	means	mean	VERB
fcis-30253	10	7	controlling	control	VERB
fcis-30253	10	8	the	the	DET
fcis-30253	10	9	victory	victory	NOUN
fcis-30253	10	10	of	of	ADP
fcis-30253	10	11	the	the	DET
fcis-30253	10	12	war	war	NOUN
fcis-30253	10	13	.	.	PUNCT
fcis-30253	11	1	link	link	VERB
fcis-30253	11	2	16	16	NUM
fcis-30253	11	3	enhances	enhance	VERB
fcis-30253	11	4	the	the	DET
fcis-30253	11	5	combat	combat	NOUN
fcis-30253	11	6	capability	capability	NOUN
fcis-30253	11	7	by	by	ADP
fcis-30253	11	8	sharing	share	VERB
fcis-30253	11	9	information	information	NOUN
fcis-30253	11	10	and	and	CCONJ
fcis-30253	11	11	helps	help	VERB
fcis-30253	11	12	the	the	DET
fcis-30253	11	13	united	united	PROPN
fcis-30253	11	14	states	states	PROPN
fcis-30253	11	15	win	win	VERB
fcis-30253	11	16	in	in	ADP
fcis-30253	11	17	the	the	DET
fcis-30253	11	18	wars	war	NOUN
fcis-30253	11	19	in	in	ADP
fcis-30253	11	20	afghanistan	afghanistan	PROPN
fcis-30253	11	21	and	and	CCONJ
fcis-30253	11	22	iraq	iraq	PROPN
fcis-30253	11	23	,	,	PUNCT
fcis-30253	11	24	highlighting	highlight	VERB
fcis-30253	11	25	the	the	DET
fcis-30253	11	26	importance	importance	NOUN
fcis-30253	11	27	of	of	ADP
fcis-30253	11	28	data	datum	NOUN
fcis-30253	11	29	links	link	NOUN
fcis-30253	11	30	in	in	ADP
fcis-30253	11	31	information	information	NOUN
fcis-30253	11	32	warfare	warfare	NOUN
fcis-30253	11	33	.	.	PUNCT
fcis-30253	12	1	in	in	ADP
fcis-30253	12	2	electronic	electronic	ADJ
fcis-30253	12	3	countermeasure	countermeasure	NOUN
fcis-30253	12	4	warfare	warfare	NOUN
fcis-30253	12	5	,	,	PUNCT
fcis-30253	12	6	it	it	PRON
fcis-30253	12	7	is	be	AUX
fcis-30253	12	8	necessary	necessary	ADJ
fcis-30253	12	9	to	to	PART
fcis-30253	12	10	ensure	ensure	VERB
fcis-30253	12	11	the	the	DET
fcis-30253	12	12	operation	operation	NOUN
fcis-30253	12	13	of	of	ADP
fcis-30253	12	14	one	one	PRON
fcis-30253	12	15	's	's	PART
fcis-30253	12	16	own	own	ADJ
fcis-30253	12	17	data	datum	NOUN
fcis-30253	12	18	link	link	NOUN
fcis-30253	12	19	and	and	CCONJ
fcis-30253	12	20	destroy	destroy	VERB
fcis-30253	12	21	the	the	DET
fcis-30253	12	22	enemy	enemy	NOUN
fcis-30253	12	23	system	system	NOUN
fcis-30253	12	24	.	.	PUNCT
fcis-30253	13	1	anti	anti	ADJ
fcis-30253	13	2	-	-	ADJ
fcis-30253	13	3	jamming	jamming	ADJ
fcis-30253	13	4	technology	technology	NOUN
fcis-30253	13	5	has	have	AUX
fcis-30253	13	6	become	become	VERB
fcis-30253	13	7	a	a	DET
fcis-30253	13	8	research	research	NOUN
fcis-30253	13	9	hotspot	hotspot	NOUN
fcis-30253	13	10	.	.	PUNCT
fcis-30253	14	1	interference	interference	NOUN
fcis-30253	14	2	is	be	AUX
fcis-30253	14	3	divided	divide	VERB
fcis-30253	14	4	into	into	ADP
fcis-30253	14	5	natural	natural	ADJ
fcis-30253	14	6	and	and	CCONJ
fcis-30253	14	7	man	man	NOUN
fcis-30253	14	8	-	-	PUNCT
fcis-30253	14	9	made	make	VERB
fcis-30253	14	10	(	(	PUNCT
fcis-30253	14	11	with	with	ADP
fcis-30253	14	12	the	the	DET
fcis-30253	14	13	focus	focus	NOUN
fcis-30253	14	14	on	on	ADP
fcis-30253	14	15	intentional	intentional	ADJ
fcis-30253	14	16	interference	interference	NOUN
fcis-30253	14	17	)	)	PUNCT
fcis-30253	14	18	.	.	PUNCT
fcis-30253	15	1	this	this	DET
fcis-30253	15	2	paper	paper	NOUN
fcis-30253	15	3	focuses	focus	VERB
fcis-30253	15	4	on	on	ADP
fcis-30253	15	5	barrage	barrage	NOUN
fcis-30253	15	6	jamming	jamming	NOUN
fcis-30253	15	7	in	in	ADP
fcis-30253	15	8	suppressive	suppressive	ADJ
fcis-30253	15	9	jamming	jamming	NOUN
fcis-30253	15	10	.	.	PUNCT
fcis-30253	16	1	antijamming	antijamme	VERB
fcis-30253	16	2	technologies	technology	NOUN
fcis-30253	16	3	are	be	AUX
fcis-30253	16	4	divided	divide	VERB
fcis-30253	16	5	into	into	ADP
fcis-30253	16	6	spread	spread	ADJ
fcis-30253	16	7	spectrum	spectrum	NOUN
fcis-30253	16	8	(	(	PUNCT
fcis-30253	16	9	such	such	ADJ
fcis-30253	16	10	as	as	ADP
fcis-30253	16	11	dsss	dsss	PROPN
fcis-30253	16	12	,	,	PUNCT
fcis-30253	16	13	fhss	fhss	PROPN
fcis-30253	16	14	,	,	PUNCT
fcis-30253	16	15	etc	etc	X
fcis-30253	16	16	.	.	X
fcis-30253	16	17	,	,	PUNCT
fcis-30253	16	18	adopted	adopt	VERB
fcis-30253	16	19	by	by	ADP
fcis-30253	16	20	link	link	NOUN
fcis-30253	16	21	16	16	NUM
fcis-30253	16	22	)	)	PUNCT
fcis-30253	16	23	and	and	CCONJ
fcis-30253	16	24	non	non	ADJ
fcis-30253	16	25	-	-	ADJ
fcis-30253	16	26	spread	spread	ADJ
fcis-30253	16	27	spectrum	spectrum	NOUN
fcis-30253	16	28	technologies	technology	NOUN
fcis-30253	16	29	(	(	PUNCT
fcis-30253	16	30	such	such	ADJ
fcis-30253	16	31	as	as	ADP
fcis-30253	16	32	adaptive	adaptive	ADJ
fcis-30253	16	33	filtering	filtering	NOUN
fcis-30253	16	34	,	,	PUNCT
fcis-30253	16	35	smart	smart	ADJ
fcis-30253	16	36	antennas	antenna	NOUN
fcis-30253	16	37	)	)	PUNCT
fcis-30253	16	38	.	.	PUNCT
fcis-30253	17	1	currently	currently	ADV
fcis-30253	17	2	,	,	PUNCT
fcis-30253	17	3	non	non	ADJ
fcis-30253	17	4	-	-	ADJ
fcis-30253	17	5	spread	spread	ADJ
fcis-30253	17	6	spectrum	spectrum	NOUN
fcis-30253	17	7	technologies	technology	NOUN
fcis-30253	17	8	,	,	PUNCT
fcis-30253	17	9	especially	especially	ADV
fcis-30253	17	10	intelligent	intelligent	ADJ
fcis-30253	17	11	anti	anti	ADJ
fcis-30253	17	12	-	-	ADJ
fcis-30253	17	13	jamming	jamming	ADJ
fcis-30253	17	14	technologies	technology	NOUN
fcis-30253	17	15	,	,	PUNCT
fcis-30253	17	16	are	be	AUX
fcis-30253	17	17	receiving	receive	VERB
fcis-30253	17	18	attention	attention	NOUN
fcis-30253	17	19	,	,	PUNCT
fcis-30253	17	20	including	include	VERB
fcis-30253	17	21	interference	interference	NOUN
fcis-30253	17	22	identification	identification	NOUN
fcis-30253	17	23	,	,	PUNCT
fcis-30253	17	24	decision	decision	NOUN
fcis-30253	17	25	-	-	PUNCT
fcis-30253	17	26	making	making	NOUN
fcis-30253	17	27	,	,	PUNCT
fcis-30253	17	28	and	and	CCONJ
fcis-30253	17	29	suppression	suppression	NOUN
fcis-30253	17	30	.	.	PUNCT
fcis-30253	18	1	using	use	VERB
fcis-30253	18	2	deep	deep	ADJ
fcis-30253	18	3	learning	learning	NOUN
fcis-30253	18	4	to	to	PART
fcis-30253	18	5	improve	improve	VERB
fcis-30253	18	6	the	the	DET
fcis-30253	18	7	feature	feature	NOUN
fcis-30253	18	8	extraction	extraction	NOUN
fcis-30253	18	9	ability	ability	NOUN
fcis-30253	18	10	is	be	AUX
fcis-30253	18	11	of	of	ADP
fcis-30253	18	12	great	great	ADJ
fcis-30253	18	13	significance	significance	NOUN
fcis-30253	18	14	to	to	ADP
fcis-30253	18	15	the	the	DET
fcis-30253	18	16	future	future	ADJ
fcis-30253	18	17	development	development	NOUN
fcis-30253	18	18	of	of	ADP
fcis-30253	18	19	communication	communication	NOUN
fcis-30253	18	20	systems	system	NOUN
fcis-30253	18	21	.	.	PUNCT
fcis-30253	19	1	in	in	ADP
fcis-30253	19	2	terms	term	NOUN
fcis-30253	19	3	of	of	ADP
fcis-30253	19	4	interference	interference	NOUN
fcis-30253	19	5	identification	identification	NOUN
fcis-30253	19	6	,	,	PUNCT
fcis-30253	19	7	researchers	researcher	NOUN
fcis-30253	19	8	have	have	AUX
fcis-30253	19	9	used	use	VERB
fcis-30253	19	10	a	a	DET
fcis-30253	19	11	variety	variety	NOUN
fcis-30253	19	12	of	of	ADP
fcis-30253	19	13	feature	feature	NOUN
fcis-30253	19	14	extraction	extraction	NOUN
fcis-30253	19	15	and	and	CCONJ
fcis-30253	19	16	machine	machine	NOUN
fcis-30253	19	17	learning	learning	NOUN
fcis-30253	19	18	algorithms	algorithm	NOUN
fcis-30253	19	19	,	,	PUNCT
fcis-30253	19	20	such	such	ADJ
fcis-30253	19	21	as	as	ADP
fcis-30253	19	22	the	the	DET
fcis-30253	19	23	multi	multi	ADJ
fcis-30253	19	24	-	-	ADJ
fcis-30253	19	25	parameter	parameter	ADJ
fcis-30253	19	26	joint	joint	ADJ
fcis-30253	19	27	estimation	estimation	NOUN
fcis-30253	19	28	method	method	NOUN
fcis-30253	19	29	,	,	PUNCT
fcis-30253	19	30	fast	fast	ADJ
fcis-30253	19	31	independent	independent	ADJ
fcis-30253	19	32	component	component	NOUN
fcis-30253	19	33	analysis	analysis	NOUN
fcis-30253	19	34	and	and	CCONJ
fcis-30253	19	35	support	support	NOUN
fcis-30253	19	36	vector	vector	NOUN
fcis-30253	19	37	machine	machine	NOUN
fcis-30253	19	38	,	,	PUNCT
fcis-30253	19	39	high	high	ADJ
fcis-30253	19	40	-	-	PUNCT
fcis-30253	19	41	order	order	NOUN
fcis-30253	19	42	cumulants	cumulant	NOUN
fcis-30253	19	43	and	and	CCONJ
fcis-30253	19	44	pattern	pattern	NOUN
fcis-30253	19	45	recognition	recognition	NOUN
fcis-30253	19	46	technology	technology	NOUN
fcis-30253	19	47	,	,	PUNCT
fcis-30253	19	48	to	to	PART
fcis-30253	19	49	improve	improve	VERB
fcis-30253	19	50	the	the	DET
fcis-30253	19	51	recognition	recognition	NOUN
fcis-30253	19	52	accuracy	accuracy	NOUN
fcis-30253	19	53	.	.	PUNCT
fcis-30253	20	1	with	with	ADP
fcis-30253	20	2	the	the	DET
fcis-30253	20	3	development	development	NOUN
fcis-30253	20	4	of	of	ADP
fcis-30253	20	5	deep	deep	ADJ
fcis-30253	20	6	learning	learning	NOUN
fcis-30253	20	7	,	,	PUNCT
fcis-30253	20	8	the	the	DET
fcis-30253	20	9	application	application	NOUN
fcis-30253	20	10	of	of	ADP
fcis-30253	20	11	deep	deep	ADJ
fcis-30253	20	12	learning	learning	NOUN
fcis-30253	20	13	algorithms	algorithm	NOUN
fcis-30253	20	14	based	base	VERB
fcis-30253	20	15	on	on	ADP
fcis-30253	20	16	convolutional	convolutional	ADJ
fcis-30253	20	17	neural	neural	ADJ
fcis-30253	20	18	networks	network	NOUN
fcis-30253	20	19	,	,	PUNCT
fcis-30253	20	20	long	long	ADJ
fcis-30253	20	21	short	short	ADJ
fcis-30253	20	22	-	-	PUNCT
fcis-30253	20	23	term	term	NOUN
fcis-30253	20	24	memory	memory	NOUN
fcis-30253	20	25	networks	network	NOUN
fcis-30253	20	26	,	,	PUNCT
fcis-30253	20	27	etc	etc	X
fcis-30253	20	28	.	.	X
fcis-30253	20	29	in	in	ADP
fcis-30253	20	30	interference	interference	NOUN
fcis-30253	20	31	identification	identification	NOUN
fcis-30253	20	32	is	be	AUX
fcis-30253	20	33	also	also	ADV
fcis-30253	20	34	gradually	gradually	ADV
fcis-30253	20	35	increasing	increase	VERB
fcis-30253	20	36	.	.	PUNCT
fcis-30253	21	1	2	2	X
fcis-30253	21	2	.	.	X
fcis-30253	21	3	interference	interference	NOUN
fcis-30253	21	4	types	type	NOUN
fcis-30253	21	5	2.1	2.1	NUM
fcis-30253	21	6	.	.	PUNCT
fcis-30253	22	1	interference	interference	NOUN
fcis-30253	22	2	patterns	pattern	NOUN
fcis-30253	22	3	the	the	DET
fcis-30253	22	4	overall	overall	ADJ
fcis-30253	22	5	interference	interference	NOUN
fcis-30253	22	6	patterns	pattern	NOUN
fcis-30253	22	7	include	include	VERB
fcis-30253	22	8	suppressive	suppressive	ADJ
fcis-30253	22	9	interference	interference	NOUN
fcis-30253	22	10	and	and	CCONJ
fcis-30253	22	11	deceptive	deceptive	ADJ
fcis-30253	22	12	interference	interference	NOUN
fcis-30253	22	13	.	.	PUNCT
fcis-30253	23	1	suppressive	suppressive	ADJ
fcis-30253	23	2	interference	interference	NOUN
fcis-30253	23	3	can	can	AUX
fcis-30253	23	4	be	be	AUX
fcis-30253	23	5	further	far	ADV
fcis-30253	23	6	divided	divide	VERB
fcis-30253	23	7	into	into	ADP
fcis-30253	23	8	barrage	barrage	NOUN
fcis-30253	23	9	jamming	jamming	NOUN
fcis-30253	23	10	and	and	CCONJ
fcis-30253	23	11	repeater	repeater	NOUN
fcis-30253	23	12	jamming	jamming	NOUN
fcis-30253	23	13	.	.	PUNCT
fcis-30253	24	1	this	this	DET
fcis-30253	24	2	chapter	chapter	NOUN
fcis-30253	24	3	mainly	mainly	ADV
fcis-30253	24	4	studies	study	VERB
fcis-30253	24	5	the	the	DET
fcis-30253	24	6	impact	impact	NOUN
fcis-30253	24	7	of	of	ADP
fcis-30253	24	8	barrage	barrage	NOUN
fcis-30253	24	9	jamming	jamming	NOUN
fcis-30253	24	10	on	on	ADP
fcis-30253	24	11	link	link	NOUN
fcis-30253	24	12	16	16	NUM
fcis-30253	24	13	.	.	PUNCT
fcis-30253	25	1	(	(	PUNCT
fcis-30253	25	2	1)comb	1)comb	NUM
fcis-30253	25	3	-	-	PUNCT
fcis-30253	25	4	spectrum	spectrum	NOUN
fcis-30253	25	5	barrage	barrage	NOUN
fcis-30253	25	6	jamming	jam	VERB
fcis-30253	25	7	the	the	DET
fcis-30253	25	8	spectrum	spectrum	NOUN
fcis-30253	25	9	of	of	ADP
fcis-30253	25	10	comb	comb	NOUN
fcis-30253	25	11	-	-	PUNCT
fcis-30253	25	12	spectrum	spectrum	NOUN
fcis-30253	25	13	barrage	barrage	NOUN
fcis-30253	25	14	jamming	jamming	NOUN
fcis-30253	25	15	is	be	AUX
fcis-30253	25	16	combshaped	combshape	VERB
fcis-30253	25	17	,	,	PUNCT
fcis-30253	25	18	and	and	CCONJ
fcis-30253	25	19	the	the	DET
fcis-30253	25	20	interference	interference	NOUN
fcis-30253	25	21	power	power	NOUN
fcis-30253	25	22	is	be	AUX
fcis-30253	25	23	concentrated	concentrate	VERB
fcis-30253	25	24	.	.	PUNCT
fcis-30253	26	1	however	however	ADV
fcis-30253	26	2	,	,	PUNCT
fcis-30253	26	3	it	it	PRON
fcis-30253	26	4	is	be	AUX
fcis-30253	26	5	necessary	necessary	ADJ
fcis-30253	26	6	to	to	PART
fcis-30253	26	7	obtain	obtain	VERB
fcis-30253	26	8	the	the	DET
fcis-30253	26	9	frequency	frequency	NOUN
fcis-30253	26	10	hopping	hop	VERB
fcis-30253	26	11	communication	communication	NOUN
fcis-30253	26	12	band	band	NOUN
fcis-30253	26	13	and	and	CCONJ
fcis-30253	26	14	frequency	frequency	NOUN
fcis-30253	26	15	interval	interval	NOUN
fcis-30253	26	16	information	information	NOUN
fcis-30253	26	17	,	,	PUNCT
fcis-30253	26	18	which	which	PRON
fcis-30253	26	19	is	be	AUX
fcis-30253	26	20	more	more	ADV
fcis-30253	26	21	complex	complex	ADJ
fcis-30253	26	22	.	.	PUNCT
fcis-30253	27	1	the	the	DET
fcis-30253	27	2	spectrum	spectrum	NOUN
fcis-30253	27	3	distribution	distribution	NOUN
fcis-30253	27	4	is	be	AUX
fcis-30253	27	5	shown	show	VERB
fcis-30253	27	6	in	in	ADP
fcis-30253	27	7	figure	figure	NOUN
fcis-30253	27	8	1	1	NUM
fcis-30253	27	9	.	.	PUNCT
fcis-30253	27	10	frequency	frequency	NOUN
fcis-30253	27	11	-	-	PUNCT
fcis-30253	27	12	hopping	hop	VERB
fcis-30253	27	13	band	band	NOUN
fcis-30253	27	14	comb	comb	NOUN
fcis-30253	27	15	-	-	PUNCT
fcis-30253	27	16	spectrum	spectrum	NOUN
fcis-30253	27	17	barrage	barrage	NOUN
fcis-30253	27	18	jamming	jamming	NOUN
fcis-30253	27	19	hopping	hop	VERB
fcis-30253	27	20	frequency	frequency	NOUN
fcis-30253	27	21	f	f	PROPN
fcis-30253	27	22	figure	figure	NOUN
fcis-30253	28	1	1	1	NUM
fcis-30253	28	2	.	.	PUNCT
fcis-30253	28	3	schematic	schematic	ADJ
fcis-30253	28	4	diagram	diagram	NOUN
fcis-30253	28	5	of	of	ADP
fcis-30253	28	6	comb	comb	NOUN
fcis-30253	28	7	-	-	PUNCT
fcis-30253	28	8	spectrum	spectrum	NOUN
fcis-30253	28	9	barrage	barrage	NOUN
fcis-30253	28	10	jamming	jamming	NOUN
fcis-30253	28	11	(	(	PUNCT
fcis-30253	28	12	2)partial	2)partial	NUM
fcis-30253	28	13	-	-	PUNCT
fcis-30253	28	14	band	band	NOUN
fcis-30253	28	15	barrage	barrage	NOUN
fcis-30253	28	16	jamming	jam	VERB
fcis-30253	28	17	partial	partial	ADJ
fcis-30253	28	18	-	-	PUNCT
fcis-30253	28	19	band	band	NOUN
fcis-30253	28	20	barrage	barrage	NOUN
fcis-30253	28	21	jamming	jamming	NOUN
fcis-30253	28	22	is	be	AUX
fcis-30253	28	23	a	a	DET
fcis-30253	28	24	type	type	NOUN
fcis-30253	28	25	of	of	ADP
fcis-30253	28	26	partial	partial	ADJ
fcis-30253	28	27	-	-	PUNCT
fcis-30253	28	28	band	band	NOUN
fcis-30253	28	29	barrage	barrage	NOUN
fcis-30253	28	30	jamming	jamming	NOUN
fcis-30253	28	31	on	on	ADP
fcis-30253	28	32	the	the	DET
fcis-30253	28	33	three	three	NUM
fcis-30253	28	34	frequency	frequency	NOUN
fcis-30253	28	35	bands	band	NOUN
fcis-30253	28	36	of	of	ADP
fcis-30253	28	37	the	the	DET
fcis-30253	28	38	link	link	NOUN
fcis-30253	28	39	16	16	NUM
fcis-30253	28	40	signal	signal	NOUN
fcis-30253	28	41	.	.	PUNCT
fcis-30253	29	1	its	its	PRON
fcis-30253	29	2	interference	interference	NOUN
fcis-30253	29	3	frequency	frequency	NOUN
fcis-30253	29	4	domain	domain	NOUN
fcis-30253	29	5	effect	effect	NOUN
fcis-30253	29	6	is	be	AUX
fcis-30253	29	7	shown	show	VERB
fcis-30253	29	8	in	in	ADP
fcis-30253	29	9	figure	figure	NOUN
fcis-30253	29	10	2	2	NUM
fcis-30253	29	11	frequency	frequency	NOUN
fcis-30253	29	12	-	-	PUNCT
fcis-30253	29	13	hopping	hop	VERB
fcis-30253	29	14	band	band	NOUN
fcis-30253	29	15	partial	partial	ADJ
fcis-30253	29	16	-	-	PUNCT
fcis-30253	29	17	band	band	NOUN
fcis-30253	29	18	barrage	barrage	NOUN
fcis-30253	29	19	jamming	jamming	NOUN
fcis-30253	29	20	hopping	hop	VERB
fcis-30253	29	21	frequency	frequency	NOUN
fcis-30253	29	22	f	f	PROPN
fcis-30253	29	23	figure	figure	NOUN
fcis-30253	29	24	2	2	NUM
fcis-30253	29	25	.	.	PUNCT
fcis-30253	29	26	schematic	schematic	ADJ
fcis-30253	29	27	diagram	diagram	NOUN
fcis-30253	29	28	of	of	ADP
fcis-30253	29	29	partial	partial	ADJ
fcis-30253	29	30	-	-	PUNCT
fcis-30253	29	31	band	band	NOUN
fcis-30253	29	32	barrage	barrage	NOUN
fcis-30253	29	33	jamming	jamming	NOUN
fcis-30253	29	34	(	(	PUNCT
fcis-30253	29	35	3)wideband	3)wideband	NUM
fcis-30253	29	36	barrage	barrage	NOUN
fcis-30253	29	37	jamming	jamming	NOUN
fcis-30253	29	38	wideband	wideband	NOUN
fcis-30253	29	39	barrage	barrage	NOUN
fcis-30253	29	40	jamming	jamming	NOUN
fcis-30253	29	41	covers	cover	VERB
fcis-30253	29	42	the	the	DET
fcis-30253	29	43	link	link	NOUN
fcis-30253	29	44	16	16	NUM
fcis-30253	29	45	channel	channel	NOUN
fcis-30253	29	46	.	.	PUNCT
fcis-30253	30	1	it	it	PRON
fcis-30253	30	2	150	150	NUM
fcis-30253	30	3	does	do	AUX
fcis-30253	30	4	not	not	PART
fcis-30253	30	5	require	require	VERB
fcis-30253	30	6	frequency	frequency	NOUN
fcis-30253	30	7	aiming	aiming	NOUN
fcis-30253	30	8	,	,	PUNCT
fcis-30253	30	9	is	be	AUX
fcis-30253	30	10	easy	easy	ADJ
fcis-30253	30	11	to	to	PART
fcis-30253	30	12	implement	implement	VERB
fcis-30253	30	13	,	,	PUNCT
fcis-30253	30	14	and	and	CCONJ
fcis-30253	30	15	has	have	VERB
fcis-30253	30	16	a	a	DET
fcis-30253	30	17	good	good	ADJ
fcis-30253	30	18	interference	interference	NOUN
fcis-30253	30	19	effect	effect	NOUN
fcis-30253	30	20	.	.	PUNCT
fcis-30253	31	1	however	however	ADV
fcis-30253	31	2	,	,	PUNCT
fcis-30253	31	3	to	to	PART
fcis-30253	31	4	cover	cover	VERB
fcis-30253	31	5	multiple	multiple	ADJ
fcis-30253	31	6	frequency	frequency	NOUN
fcis-30253	31	7	points	point	NOUN
fcis-30253	31	8	,	,	PUNCT
fcis-30253	31	9	a	a	DET
fcis-30253	31	10	high	high	ADJ
fcis-30253	31	11	power	power	NOUN
fcis-30253	31	12	is	be	AUX
fcis-30253	31	13	required	require	VERB
fcis-30253	31	14	.	.	PUNCT
fcis-30253	32	1	the	the	DET
fcis-30253	32	2	frequency	frequency	NOUN
fcis-30253	32	3	domain	domain	NOUN
fcis-30253	32	4	effect	effect	NOUN
fcis-30253	32	5	diagram	diagram	NOUN
fcis-30253	32	6	of	of	ADP
fcis-30253	32	7	wideband	wideband	NOUN
fcis-30253	32	8	barrage	barrage	NOUN
fcis-30253	32	9	jamming	jamming	NOUN
fcis-30253	32	10	is	be	AUX
fcis-30253	32	11	shown	show	VERB
fcis-30253	32	12	in	in	ADP
fcis-30253	32	13	figure	figure	NOUN
fcis-30253	32	14	3	3	NUM
fcis-30253	32	15	frequency	frequency	NOUN
fcis-30253	32	16	-	-	PUNCT
fcis-30253	32	17	hopping	hop	VERB
fcis-30253	32	18	band	band	NOUN
fcis-30253	32	19	wideband	wideband	NOUN
fcis-30253	32	20	barrage	barrage	NOUN
fcis-30253	32	21	jamming	jamming	NOUN
fcis-30253	32	22	hopping	hop	VERB
fcis-30253	32	23	frequency	frequency	NOUN
fcis-30253	32	24	f	f	PROPN
fcis-30253	32	25	figure	figure	NOUN
fcis-30253	32	26	3	3	NUM
fcis-30253	32	27	.	.	PUNCT
fcis-30253	32	28	schematic	schematic	ADJ
fcis-30253	32	29	diagram	diagram	NOUN
fcis-30253	32	30	of	of	ADP
fcis-30253	32	31	wideband	wideband	NOUN
fcis-30253	32	32	barrage	barrage	NOUN
fcis-30253	32	33	jamming	jam	VERB
fcis-30253	32	34	2.2	2.2	NUM
fcis-30253	32	35	.	.	PUNCT
fcis-30253	33	1	interference	interference	NOUN
fcis-30253	33	2	signals	signal	NOUN
fcis-30253	33	3	this	this	DET
fcis-30253	33	4	section	section	NOUN
fcis-30253	33	5	studies	study	VERB
fcis-30253	33	6	several	several	ADJ
fcis-30253	33	7	common	common	ADJ
fcis-30253	33	8	interference	interference	NOUN
fcis-30253	33	9	signals	signal	NOUN
fcis-30253	33	10	.	.	PUNCT
fcis-30253	34	1	(	(	PUNCT
fcis-30253	34	2	1)single	1)single	NUM
fcis-30253	34	3	-	-	PUNCT
fcis-30253	34	4	tone	tone	NOUN
fcis-30253	34	5	interference	interference	NOUN
fcis-30253	34	6	the	the	DET
fcis-30253	34	7	expression	expression	NOUN
fcis-30253	34	8	of	of	ADP
fcis-30253	34	9	single	single	ADJ
fcis-30253	34	10	-	-	PUNCT
fcis-30253	34	11	tone	tone	NOUN
fcis-30253	34	12	interference	interference	NOUN
fcis-30253	34	13	is	be	AUX
fcis-30253	34	14	:	:	PUNCT
fcis-30253	34	15	2	2	NUM
fcis-30253	34	16	1	1	NUM
fcis-30253	34	17	where	where	SCONJ
fcis-30253	34	18	a	a	PRON
fcis-30253	34	19	is	be	AUX
fcis-30253	34	20	the	the	DET
fcis-30253	34	21	amplitude	amplitude	NOUN
fcis-30253	34	22	,	,	PUNCT
fcis-30253	34	23	is	be	AUX
fcis-30253	34	24	the	the	DET
fcis-30253	34	25	interference	interference	NOUN
fcis-30253	34	26	frequency	frequency	NOUN
fcis-30253	34	27	,	,	PUNCT
fcis-30253	34	28	and	and	CCONJ
fcis-30253	34	29	is	be	AUX
fcis-30253	34	30	the	the	DET
fcis-30253	34	31	initial	initial	ADJ
fcis-30253	34	32	phase	phase	NOUN
fcis-30253	34	33	.	.	PUNCT
fcis-30253	35	1	(	(	PUNCT
fcis-30253	35	2	2)multi	2)multi	NOUN
fcis-30253	35	3	-	-	ADJ
fcis-30253	35	4	tone	tone	NOUN
fcis-30253	35	5	interference	interference	NOUN
fcis-30253	35	6	multi	multi	ADJ
fcis-30253	35	7	-	-	ADJ
fcis-30253	35	8	tone	tone	NOUN
fcis-30253	35	9	interference	interference	NOUN
fcis-30253	35	10	is	be	AUX
fcis-30253	35	11	a	a	DET
fcis-30253	35	12	complex	complex	ADJ
fcis-30253	35	13	baseband	baseband	NOUN
fcis-30253	35	14	expression	expression	NOUN
fcis-30253	35	15	superimposed	superimpose	VERB
fcis-30253	35	16	by	by	ADP
fcis-30253	35	17	multiple	multiple	ADJ
fcis-30253	35	18	single	single	ADJ
fcis-30253	35	19	-	-	PUNCT
fcis-30253	35	20	tone	tone	NOUN
fcis-30253	35	21	interferences	interference	NOUN
fcis-30253	35	22	:	:	PUNCT
fcis-30253	35	23	2	2	NUM
fcis-30253	35	24	2	2	NUM
fcis-30253	35	25	where	where	SCONJ
fcis-30253	35	26	is	be	AUX
fcis-30253	35	27	the	the	DET
fcis-30253	35	28	amplitude	amplitude	NOUN
fcis-30253	35	29	of	of	ADP
fcis-30253	35	30	the	the	DET
fcis-30253	35	31	m	m	PROPN
fcis-30253	35	32	single	single	ADJ
fcis-30253	35	33	-	-	PUNCT
fcis-30253	35	34	tone	tone	NOUN
fcis-30253	35	35	interference	interference	NOUN
fcis-30253	35	36	of	of	ADP
fcis-30253	35	37	the	the	DET
fcis-30253	35	38	multi	multi	ADJ
fcis-30253	35	39	-	-	ADJ
fcis-30253	35	40	tone	tone	ADJ
fcis-30253	35	41	interference	interference	NOUN
fcis-30253	35	42	,	,	PUNCT
fcis-30253	35	43	and	and	CCONJ
fcis-30253	35	44	similarly	similarly	ADV
fcis-30253	35	45	,	,	PUNCT
fcis-30253	35	46	and	and	CCONJ
fcis-30253	35	47	are	be	AUX
fcis-30253	35	48	the	the	DET
fcis-30253	35	49	frequency	frequency	NOUN
fcis-30253	35	50	and	and	CCONJ
fcis-30253	35	51	phase	phase	NOUN
fcis-30253	35	52	of	of	ADP
fcis-30253	35	53	the	the	DET
fcis-30253	35	54	m	m	ADJ
fcis-30253	35	55	single	single	ADJ
fcis-30253	35	56	-	-	PUNCT
fcis-30253	35	57	tone	tone	NOUN
fcis-30253	35	58	interference	interference	NOUN
fcis-30253	35	59	,	,	PUNCT
fcis-30253	35	60	respectively	respectively	ADV
fcis-30253	35	61	.	.	PUNCT
fcis-30253	36	1	(	(	PUNCT
fcis-30253	36	2	3)partial	3)partial	NUM
fcis-30253	36	3	-	-	PUNCT
fcis-30253	36	4	band	band	NOUN
fcis-30253	36	5	noise	noise	NOUN
fcis-30253	36	6	interference	interference	NOUN
fcis-30253	36	7	partial	partial	ADJ
fcis-30253	36	8	-	-	PUNCT
fcis-30253	36	9	band	band	NOUN
fcis-30253	36	10	interference	interference	NOUN
fcis-30253	36	11	is	be	AUX
fcis-30253	36	12	to	to	PART
fcis-30253	36	13	concentrate	concentrate	VERB
fcis-30253	36	14	the	the	DET
fcis-30253	36	15	energy	energy	NOUN
fcis-30253	36	16	of	of	ADP
fcis-30253	36	17	the	the	DET
fcis-30253	36	18	noise	noise	NOUN
fcis-30253	36	19	within	within	ADP
fcis-30253	36	20	the	the	DET
fcis-30253	36	21	specified	specified	ADJ
fcis-30253	36	22	frequency	frequency	NOUN
fcis-30253	36	23	band	band	NOUN
fcis-30253	36	24	range	range	NOUN
fcis-30253	36	25	,	,	PUNCT
fcis-30253	36	26	and	and	CCONJ
fcis-30253	36	27	its	its	PRON
fcis-30253	36	28	expression	expression	NOUN
fcis-30253	36	29	is	be	AUX
fcis-30253	36	30	:	:	PUNCT
fcis-30253	36	31	2	2	NUM
fcis-30253	36	32	3	3	NUM
fcis-30253	36	33	where	where	SCONJ
fcis-30253	36	34	u(t	u(t	NOUN
fcis-30253	36	35	)	)	PUNCT
fcis-30253	36	36	obeys	obey	VERB
fcis-30253	36	37	gaussian	gaussian	NOUN
fcis-30253	36	38	noise	noise	NOUN
fcis-30253	36	39	with	with	ADP
fcis-30253	36	40	a	a	DET
fcis-30253	36	41	mean	mean	NOUN
fcis-30253	36	42	of	of	ADP
fcis-30253	36	43	0	0	NUM
fcis-30253	36	44	and	and	CCONJ
fcis-30253	36	45	a	a	DET
fcis-30253	36	46	variance	variance	NOUN
fcis-30253	36	47	of	of	ADP
fcis-30253	36	48	,	,	PUNCT
fcis-30253	36	49	is	be	AUX
fcis-30253	36	50	the	the	DET
fcis-30253	36	51	center	center	ADJ
fcis-30253	36	52	frequency	frequency	NOUN
fcis-30253	36	53	of	of	ADP
fcis-30253	36	54	the	the	DET
fcis-30253	36	55	interference	interference	NOUN
fcis-30253	36	56	signal	signal	NOUN
fcis-30253	36	57	,	,	PUNCT
fcis-30253	36	58	and	and	CCONJ
fcis-30253	36	59	is	be	AUX
fcis-30253	36	60	the	the	DET
fcis-30253	36	61	initial	initial	ADJ
fcis-30253	36	62	phase	phase	NOUN
fcis-30253	36	63	.	.	PUNCT
fcis-30253	37	1	(	(	PUNCT
fcis-30253	37	2	4)linear	4)linear	NOUN
fcis-30253	37	3	sweep	sweep	VERB
fcis-30253	37	4	frequency	frequency	NOUN
fcis-30253	37	5	interference	interference	NOUN
fcis-30253	37	6	the	the	DET
fcis-30253	37	7	frequency	frequency	NOUN
fcis-30253	37	8	of	of	ADP
fcis-30253	37	9	linear	linear	PROPN
fcis-30253	37	10	sweep	sweep	NOUN
fcis-30253	37	11	frequency	frequency	NOUN
fcis-30253	37	12	interference	interference	NOUN
fcis-30253	37	13	has	have	VERB
fcis-30253	37	14	a	a	DET
fcis-30253	37	15	linear	linear	ADJ
fcis-30253	37	16	relationship	relationship	NOUN
fcis-30253	37	17	with	with	ADP
fcis-30253	37	18	time	time	NOUN
fcis-30253	37	19	,	,	PUNCT
fcis-30253	37	20	and	and	CCONJ
fcis-30253	37	21	its	its	PRON
fcis-30253	37	22	time	time	NOUN
fcis-30253	37	23	-	-	PUNCT
fcis-30253	37	24	domain	domain	NOUN
fcis-30253	37	25	expression	expression	NOUN
fcis-30253	37	26	is	be	AUX
fcis-30253	37	27	:	:	PUNCT
fcis-30253	37	28	2	2	NUM
fcis-30253	37	29	0	0	NUM
fcis-30253	37	30	4	4	NUM
fcis-30253	37	31	where	where	SCONJ
fcis-30253	37	32	ais	ais	PROPN
fcis-30253	37	33	the	the	DET
fcis-30253	37	34	amplitude	amplitude	NOUN
fcis-30253	37	35	,	,	PUNCT
fcis-30253	37	36	is	be	AUX
fcis-30253	37	37	the	the	DET
fcis-30253	37	38	initial	initial	ADJ
fcis-30253	37	39	frequency	frequency	NOUN
fcis-30253	37	40	,	,	PUNCT
fcis-30253	37	41	is	be	AUX
fcis-30253	37	42	the	the	DET
fcis-30253	37	43	initial	initial	ADJ
fcis-30253	37	44	phase	phase	NOUN
fcis-30253	37	45	,	,	PUNCT
fcis-30253	37	46	k	k	PROPN
fcis-30253	37	47	is	be	AUX
fcis-30253	37	48	the	the	DET
fcis-30253	37	49	frequency	frequency	ADJ
fcis-30253	37	50	modulation	modulation	NOUN
fcis-30253	37	51	coefficient	coefficient	NOUN
fcis-30253	37	52	,	,	PUNCT
fcis-30253	37	53	and	and	CCONJ
fcis-30253	37	54	t	t	PROPN
fcis-30253	37	55	is	be	AUX
fcis-30253	37	56	the	the	DET
fcis-30253	37	57	signal	signal	ADJ
fcis-30253	37	58	duration	duration	NOUN
fcis-30253	37	59	.	.	PUNCT
fcis-30253	38	1	(	(	PUNCT
fcis-30253	38	2	5)chirp	5)chirp	NUM
fcis-30253	38	3	frequency	frequency	NOUN
fcis-30253	38	4	modulation	modulation	NOUN
fcis-30253	38	5	interference	interference	VERB
fcis-30253	38	6	the	the	DET
fcis-30253	38	7	expression	expression	NOUN
fcis-30253	38	8	of	of	ADP
fcis-30253	38	9	a	a	DET
fcis-30253	38	10	single	single	ADJ
fcis-30253	38	11	-	-	PUNCT
fcis-30253	38	12	component	component	NOUN
fcis-30253	38	13	chirp	chirp	NOUN
fcis-30253	38	14	signal	signal	NOUN
fcis-30253	38	15	is	be	AUX
fcis-30253	38	16	:	:	PUNCT
fcis-30253	38	17	2	2	NUM
fcis-30253	38	18	2	2	NUM
fcis-30253	38	19	0	0	NUM
fcis-30253	38	20	5	5	NUM
fcis-30253	38	21	where	where	SCONJ
fcis-30253	38	22	a	a	PRON
fcis-30253	38	23	is	be	AUX
fcis-30253	38	24	the	the	DET
fcis-30253	38	25	amplitude	amplitude	NOUN
fcis-30253	38	26	,	,	PUNCT
fcis-30253	38	27	is	be	AUX
fcis-30253	38	28	the	the	DET
fcis-30253	38	29	initial	initial	ADJ
fcis-30253	38	30	frequency	frequency	NOUN
fcis-30253	38	31	,	,	PUNCT
fcis-30253	38	32	is	be	AUX
fcis-30253	38	33	the	the	DET
fcis-30253	38	34	frequency	frequency	ADJ
fcis-30253	38	35	modulation	modulation	NOUN
fcis-30253	38	36	slope	slope	NOUN
fcis-30253	38	37	of	of	ADP
fcis-30253	38	38	the	the	DET
fcis-30253	38	39	signal	signal	NOUN
fcis-30253	38	40	,	,	PUNCT
fcis-30253	38	41	and	and	CCONJ
fcis-30253	38	42	t	t	PROPN
fcis-30253	38	43	is	be	AUX
fcis-30253	38	44	the	the	DET
fcis-30253	38	45	signal	signal	ADJ
fcis-30253	38	46	duration	duration	NOUN
fcis-30253	38	47	.	.	PUNCT
fcis-30253	39	1	(	(	PUNCT
fcis-30253	39	2	6)noise	6)noise	NUM
fcis-30253	39	3	frequency	frequency	NOUN
fcis-30253	39	4	modulation	modulation	NOUN
fcis-30253	39	5	interference	interference	NOUN
fcis-30253	39	6	this	this	DET
fcis-30253	39	7	interference	interference	NOUN
fcis-30253	39	8	is	be	AUX
fcis-30253	39	9	where	where	SCONJ
fcis-30253	39	10	the	the	DET
fcis-30253	39	11	frequency	frequency	NOUN
fcis-30253	39	12	has	have	VERB
fcis-30253	39	13	a	a	DET
fcis-30253	39	14	linear	linear	ADJ
fcis-30253	39	15	relationship	relationship	NOUN
fcis-30253	39	16	with	with	ADP
fcis-30253	39	17	the	the	DET
fcis-30253	39	18	modulating	modulating	ADJ
fcis-30253	39	19	noise	noise	NOUN
fcis-30253	39	20	voltage	voltage	NOUN
fcis-30253	39	21	.	.	PUNCT
fcis-30253	40	1	its	its	PRON
fcis-30253	40	2	expression	expression	NOUN
fcis-30253	40	3	is	be	AUX
fcis-30253	40	4	:	:	PUNCT
fcis-30253	40	5	2	2	NUM
fcis-30253	40	6	d	d	SYM
fcis-30253	40	7	6	6	NUM
fcis-30253	40	8	in	in	ADP
fcis-30253	40	9	the	the	DET
fcis-30253	40	10	formula	formula	NOUN
fcis-30253	40	11	,	,	PUNCT
fcis-30253	40	12	a	a	PRON
fcis-30253	40	13	is	be	AUX
fcis-30253	40	14	the	the	DET
fcis-30253	40	15	amplitude	amplitude	NOUN
fcis-30253	40	16	,	,	PUNCT
fcis-30253	40	17	is	be	AUX
fcis-30253	40	18	the	the	DET
fcis-30253	40	19	center	center	ADJ
fcis-30253	40	20	frequency	frequency	NOUN
fcis-30253	40	21	of	of	ADP
fcis-30253	40	22	the	the	DET
fcis-30253	40	23	interference	interference	NOUN
fcis-30253	40	24	signal	signal	NOUN
fcis-30253	40	25	,	,	PUNCT
fcis-30253	40	26	is	be	AUX
fcis-30253	40	27	the	the	DET
fcis-30253	40	28	frequency	frequency	ADJ
fcis-30253	40	29	modulation	modulation	NOUN
fcis-30253	40	30	coefficient	coefficient	NOUN
fcis-30253	40	31	,	,	PUNCT
fcis-30253	40	32	and	and	CCONJ
fcis-30253	40	33	obeys	obey	VERB
fcis-30253	40	34	gaussian	gaussian	NOUN
fcis-30253	40	35	noise	noise	NOUN
fcis-30253	40	36	with	with	ADP
fcis-30253	40	37	a	a	DET
fcis-30253	40	38	mean	mean	NOUN
fcis-30253	40	39	of	of	ADP
fcis-30253	40	40	0	0	NUM
fcis-30253	40	41	and	and	CCONJ
fcis-30253	40	42	a	a	DET
fcis-30253	40	43	variance	variance	NOUN
fcis-30253	40	44	of	of	ADP
fcis-30253	40	45	.	.	PUNCT
fcis-30253	41	1	the	the	DET
fcis-30253	41	2	bandwidth	bandwidth	NOUN
fcis-30253	41	3	of	of	ADP
fcis-30253	41	4	the	the	DET
fcis-30253	41	5	interference	interference	NOUN
fcis-30253	41	6	signal	signal	NOUN
fcis-30253	41	7	is	be	AUX
fcis-30253	41	8	determined	determine	VERB
fcis-30253	41	9	by	by	ADP
fcis-30253	41	10	the	the	DET
fcis-30253	41	11	frequency	frequency	NOUN
fcis-30253	41	12	modulation	modulation	NOUN
fcis-30253	41	13	coefficient	coefficient	NOUN
fcis-30253	41	14	and	and	CCONJ
fcis-30253	41	15	the	the	DET
fcis-30253	41	16	variance	variance	NOUN
fcis-30253	41	17	together	together	ADV
fcis-30253	41	18	.	.	PUNCT
fcis-30253	42	1	(	(	PUNCT
fcis-30253	42	2	7)noise	7)noise	NUM
fcis-30253	42	3	amplitude	amplitude	NOUN
fcis-30253	42	4	modulation	modulation	NOUN
fcis-30253	42	5	interference	interference	VERB
fcis-30253	42	6	the	the	DET
fcis-30253	42	7	expression	expression	NOUN
fcis-30253	42	8	of	of	ADP
fcis-30253	42	9	noise	noise	NOUN
fcis-30253	42	10	amplitude	amplitude	NOUN
fcis-30253	42	11	modulation	modulation	NOUN
fcis-30253	42	12	interference	interference	NOUN
fcis-30253	42	13	is	be	AUX
fcis-30253	42	14	:	:	PUNCT
fcis-30253	42	15	7	7	NUM
fcis-30253	42	16	where	where	SCONJ
fcis-30253	42	17	is	be	AUX
fcis-30253	42	18	the	the	DET
fcis-30253	42	19	carrier	carrier	NOUN
fcis-30253	42	20	amplitude	amplitude	NOUN
fcis-30253	42	21	,	,	PUNCT
fcis-30253	42	22	is	be	AUX
fcis-30253	42	23	the	the	DET
fcis-30253	42	24	carrier	carrier	NOUN
fcis-30253	42	25	angular	angular	ADJ
fcis-30253	42	26	frequency	frequency	NOUN
fcis-30253	42	27	,	,	PUNCT
fcis-30253	42	28	is	be	AUX
fcis-30253	42	29	the	the	DET
fcis-30253	42	30	baseband	baseband	NOUN
fcis-30253	42	31	noise	noise	NOUN
fcis-30253	42	32	,	,	PUNCT
fcis-30253	42	33	and	and	CCONJ
fcis-30253	42	34	φ	φ	PROPN
fcis-30253	42	35	is	be	AUX
fcis-30253	42	36	uniformly	uniformly	ADV
fcis-30253	42	37	distributed	distribute	VERB
fcis-30253	42	38	within	within	ADP
fcis-30253	42	39	[	[	X
fcis-30253	42	40	0	0	NUM
fcis-30253	42	41	,	,	PUNCT
fcis-30253	42	42	2π	2π	NOUN
fcis-30253	42	43	]	]	PUNCT
fcis-30253	42	44	.	.	PUNCT
fcis-30253	43	1	(	(	PUNCT
fcis-30253	43	2	8)sawtooth	8)sawtooth	NUM
fcis-30253	43	3	wave	wave	NOUN
fcis-30253	43	4	frequency	frequency	NOUN
fcis-30253	43	5	modulation	modulation	NOUN
fcis-30253	43	6	interference	interference	VERB
fcis-30253	43	7	the	the	DET
fcis-30253	43	8	sawtooth	sawtooth	ADJ
fcis-30253	43	9	wave	wave	NOUN
fcis-30253	43	10	frequency	frequency	NOUN
fcis-30253	43	11	modulation	modulation	NOUN
fcis-30253	43	12	signal	signal	NOUN
fcis-30253	43	13	is	be	AUX
fcis-30253	43	14	frequency	frequency	NOUN
fcis-30253	43	15	modulated	modulate	VERB
fcis-30253	43	16	using	use	VERB
fcis-30253	43	17	a	a	DET
fcis-30253	43	18	sawtooth	sawtooth	ADJ
fcis-30253	43	19	wave	wave	NOUN
fcis-30253	43	20	signal	signal	NOUN
fcis-30253	43	21	,	,	PUNCT
fcis-30253	43	22	similar	similar	ADJ
fcis-30253	43	23	to	to	ADP
fcis-30253	43	24	the	the	DET
fcis-30253	43	25	noise	noise	NOUN
fcis-30253	43	26	frequency	frequency	NOUN
fcis-30253	43	27	modulation	modulation	NOUN
fcis-30253	43	28	signal	signal	NOUN
fcis-30253	43	29	.	.	PUNCT
fcis-30253	44	1	its	its	PRON
fcis-30253	44	2	expression	expression	NOUN
fcis-30253	44	3	is	be	AUX
fcis-30253	44	4	:	:	PUNCT
fcis-30253	44	5	2	2	NUM
fcis-30253	44	6	2	2	NUM
fcis-30253	44	7	8	8	NUM
fcis-30253	44	8	where	where	SCONJ
fcis-30253	44	9	a	a	PRON
fcis-30253	44	10	represents	represent	VERB
fcis-30253	44	11	the	the	DET
fcis-30253	44	12	amplitude	amplitude	NOUN
fcis-30253	44	13	,	,	PUNCT
fcis-30253	44	14	is	be	AUX
fcis-30253	44	15	the	the	DET
fcis-30253	44	16	carrier	carrier	NOUN
fcis-30253	44	17	frequency	frequency	NOUN
fcis-30253	44	18	of	of	ADP
fcis-30253	44	19	the	the	DET
fcis-30253	44	20	signal	signal	NOUN
fcis-30253	44	21	,	,	PUNCT
fcis-30253	44	22	k	k	PROPN
fcis-30253	44	23	is	be	AUX
fcis-30253	44	24	the	the	DET
fcis-30253	44	25	modulation	modulation	NOUN
fcis-30253	44	26	coefficient	coefficient	NOUN
fcis-30253	44	27	,	,	PUNCT
fcis-30253	44	28	and	and	CCONJ
fcis-30253	44	29	m(t	m(t	NOUN
fcis-30253	44	30	)	)	PUNCT
fcis-30253	44	31	is	be	AUX
fcis-30253	44	32	the	the	DET
fcis-30253	44	33	periodic	periodic	ADJ
fcis-30253	44	34	sawtooth	sawtooth	NOUN
fcis-30253	44	35	wave	wave	NOUN
fcis-30253	44	36	signal	signal	NOUN
fcis-30253	44	37	.	.	PUNCT
fcis-30253	45	1	the	the	DET
fcis-30253	45	2	following	follow	VERB
fcis-30253	45	3	formula	formula	NOUN
fcis-30253	45	4	gives	give	VERB
fcis-30253	45	5	the	the	DET
fcis-30253	45	6	power	power	NOUN
fcis-30253	45	7	of	of	ADP
fcis-30253	45	8	the	the	DET
fcis-30253	45	9	frequency	frequency	NOUN
fcis-30253	45	10	component	component	NOUN
fcis-30253	45	11	in	in	ADP
fcis-30253	45	12	each	each	DET
fcis-30253	45	13	frequency	frequency	NOUN
fcis-30253	45	14	band	band	NOUN
fcis-30253	45	15	of	of	ADP
fcis-30253	45	16	the	the	DET
fcis-30253	45	17	sawtooth	sawtooth	ADJ
fcis-30253	45	18	wave	wave	NOUN
fcis-30253	45	19	frequency	frequency	NOUN
fcis-30253	45	20	modulation	modulation	NOUN
fcis-30253	45	21	signal	signal	NOUN
fcis-30253	45	22	.	.	PUNCT
fcis-30253	46	1	4∆	4∆	NUM
fcis-30253	46	2	∆	∆	NOUN
fcis-30253	46	3	∆	∆	PUNCT
fcis-30253	47	1	∙	∙	NOUN
fcis-30253	47	2	∆	∆	PUNCT
fcis-30253	47	3	∆	∆	PUNCT
fcis-30253	47	4	∙	∙	NOUN
fcis-30253	47	5	∆	∆	PUNCT
fcis-30253	47	6	∆	∆	PUNCT
fcis-30253	47	7	∙	∙	NOUN
fcis-30253	47	8	∆	∆	PUNCT
fcis-30253	47	9	∆	∆	PUNCT
fcis-30253	47	10	∙	∙	NOUN
fcis-30253	47	11	9	9	NUM
fcis-30253	47	12	where	where	SCONJ
fcis-30253	47	13	f	f	PROPN
fcis-30253	47	14	is	be	AUX
fcis-30253	47	15	the	the	DET
fcis-30253	47	16	periodic	periodic	ADJ
fcis-30253	47	17	frequency	frequency	NOUN
fcis-30253	47	18	of	of	ADP
fcis-30253	47	19	the	the	DET
fcis-30253	47	20	sawtooth	sawtooth	NOUN
fcis-30253	47	21	wave	wave	NOUN
fcis-30253	47	22	,	,	PUNCT
fcis-30253	47	23	2∆	2∆	NUM
fcis-30253	47	24	is	be	AUX
fcis-30253	47	25	the	the	DET
fcis-30253	47	26	frequency	frequency	ADJ
fcis-30253	47	27	deviation	deviation	NOUN
fcis-30253	47	28	of	of	ADP
fcis-30253	47	29	the	the	DET
fcis-30253	47	30	signal	signal	ADJ
fcis-30253	47	31	modulation	modulation	NOUN
fcis-30253	47	32	,	,	PUNCT
fcis-30253	47	33	is	be	AUX
fcis-30253	47	34	the	the	DET
fcis-30253	47	35	total	total	ADJ
fcis-30253	47	36	interference	interference	NOUN
fcis-30253	47	37	power	power	NOUN
fcis-30253	47	38	,	,	PUNCT
fcis-30253	47	39	and	and	CCONJ
fcis-30253	47	40	c	c	NOUN
fcis-30253	47	41	and	and	CCONJ
fcis-30253	47	42	s	s	VERB
fcis-30253	47	43	are	be	AUX
fcis-30253	47	44	fresnel	fresnel	ADJ
fcis-30253	47	45	integrals	integral	NOUN
fcis-30253	47	46	.	.	PUNCT
fcis-30253	48	1	when	when	SCONJ
fcis-30253	48	2	the	the	DET
fcis-30253	48	3	frequency	frequency	NOUN
fcis-30253	48	4	modulation	modulation	NOUN
fcis-30253	48	5	bandwidth	bandwidth	NOUN
fcis-30253	48	6	is	be	AUX
fcis-30253	48	7	very	very	ADV
fcis-30253	48	8	large	large	ADJ
fcis-30253	48	9	,	,	PUNCT
fcis-30253	48	10	that	that	ADV
fcis-30253	48	11	is	is	ADV
fcis-30253	48	12	,	,	PUNCT
fcis-30253	48	13	2∆	2∆	NUM
fcis-30253	48	14	≫	≫	PROPN
fcis-30253	48	15	,	,	PUNCT
fcis-30253	48	16	the	the	DET
fcis-30253	48	17	f	f	PROPN
fcis-30253	48	18	at	at	ADP
fcis-30253	48	19	this	this	DET
fcis-30253	48	20	time	time	NOUN
fcis-30253	48	21	can	can	AUX
fcis-30253	48	22	be	be	AUX
fcis-30253	48	23	ignored	ignore	VERB
fcis-30253	48	24	and	and	CCONJ
fcis-30253	48	25	can	can	AUX
fcis-30253	48	26	be	be	AUX
fcis-30253	48	27	simplified	simplify	VERB
fcis-30253	48	28	to	to	ADP
fcis-30253	48	29	the	the	DET
fcis-30253	48	30	following	follow	VERB
fcis-30253	48	31	formula	formula	NOUN
fcis-30253	48	32	:	:	PUNCT
fcis-30253	48	33	2∆	2∆	NUM
fcis-30253	48	34	10	10	NUM
fcis-30253	48	35	from	from	ADP
fcis-30253	48	36	the	the	DET
fcis-30253	48	37	above	above	ADJ
fcis-30253	48	38	formula	formula	NOUN
fcis-30253	48	39	,	,	PUNCT
fcis-30253	48	40	it	it	PRON
fcis-30253	48	41	can	can	AUX
fcis-30253	48	42	be	be	AUX
fcis-30253	48	43	concluded	conclude	VERB
fcis-30253	48	44	that	that	SCONJ
fcis-30253	48	45	the	the	DET
fcis-30253	48	46	sawtooth	sawtooth	ADJ
fcis-30253	48	47	wave	wave	NOUN
fcis-30253	48	48	frequency	frequency	NOUN
fcis-30253	48	49	modulation	modulation	NOUN
fcis-30253	48	50	signal	signal	NOUN
fcis-30253	48	51	has	have	VERB
fcis-30253	48	52	2∆⁄	2∆⁄	PROPN
fcis-30253	48	53	components	component	NOUN
fcis-30253	48	54	,	,	PUNCT
fcis-30253	48	55	and	and	CCONJ
fcis-30253	48	56	the	the	DET
fcis-30253	48	57	interference	interference	NOUN
fcis-30253	48	58	power	power	NOUN
fcis-30253	48	59	of	of	ADP
fcis-30253	48	60	each	each	DET
fcis-30253	48	61	component	component	NOUN
fcis-30253	48	62	is	be	AUX
fcis-30253	48	63	basically	basically	ADV
fcis-30253	48	64	the	the	DET
fcis-30253	48	65	same	same	ADJ
fcis-30253	48	66	,	,	PUNCT
fcis-30253	48	67	and	and	CCONJ
fcis-30253	48	68	is	be	AUX
fcis-30253	48	69	uniformly	uniformly	ADV
fcis-30253	48	70	distributed	distribute	VERB
fcis-30253	48	71	in	in	ADP
fcis-30253	48	72	a	a	DET
fcis-30253	48	73	comblike	comblike	NOUN
fcis-30253	48	74	manner	manner	NOUN
fcis-30253	48	75	in	in	ADP
fcis-30253	48	76	the	the	DET
fcis-30253	48	77	available	available	ADJ
fcis-30253	48	78	frequency	frequency	NOUN
fcis-30253	48	79	band	band	NOUN
fcis-30253	48	80	.	.	PUNCT
fcis-30253	49	1	3	3	X
fcis-30253	49	2	.	.	X
fcis-30253	49	3	interference	interference	NOUN
fcis-30253	49	4	recognition	recognition	NOUN
fcis-30253	49	5	based	base	VERB
fcis-30253	49	6	on	on	ADP
fcis-30253	49	7	deep	deep	ADJ
fcis-30253	49	8	learning	learning	NOUN
fcis-30253	49	9	deep	deep	ADJ
fcis-30253	49	10	learning	learning	NOUN
fcis-30253	49	11	is	be	AUX
fcis-30253	49	12	an	an	DET
fcis-30253	49	13	important	important	ADJ
fcis-30253	49	14	branch	branch	NOUN
fcis-30253	49	15	in	in	ADP
fcis-30253	49	16	the	the	DET
fcis-30253	49	17	field	field	NOUN
fcis-30253	49	18	of	of	ADP
fcis-30253	49	19	machine	machine	NOUN
fcis-30253	49	20	learning	learning	NOUN
fcis-30253	49	21	.	.	PUNCT
fcis-30253	50	1	its	its	PRON
fcis-30253	50	2	principle	principle	NOUN
fcis-30253	50	3	is	be	AUX
fcis-30253	50	4	mainly	mainly	ADV
fcis-30253	50	5	based	base	VERB
fcis-30253	50	6	on	on	ADP
fcis-30253	50	7	the	the	DET
fcis-30253	50	8	concept	concept	NOUN
fcis-30253	50	9	of	of	ADP
fcis-30253	50	10	artificial	artificial	ADJ
fcis-30253	50	11	neural	neural	ADJ
fcis-30253	50	12	networks	network	NOUN
fcis-30253	50	13	,	,	PUNCT
fcis-30253	50	14	and	and	CCONJ
fcis-30253	50	15	realizes	realize	VERB
fcis-30253	50	16	the	the	DET
fcis-30253	50	17	learning	learning	NOUN
fcis-30253	50	18	and	and	CCONJ
fcis-30253	50	19	analysis	analysis	NOUN
fcis-30253	50	20	of	of	ADP
fcis-30253	50	21	data	datum	NOUN
fcis-30253	50	22	by	by	ADP
fcis-30253	50	23	constructing	construct	VERB
fcis-30253	50	24	a	a	DET
fcis-30253	50	25	deep	deep	ADJ
fcis-30253	50	26	neural	neural	ADJ
fcis-30253	50	27	network	network	NOUN
fcis-30253	50	28	model	model	NOUN
fcis-30253	50	29	.	.	PUNCT
fcis-30253	51	1	(	(	PUNCT
fcis-30253	51	2	1)residual	1)residual	NUM
fcis-30253	51	3	network	network	NOUN
fcis-30253	51	4	(	(	PUNCT
fcis-30253	51	5	cv	cv	NOUN
fcis-30253	51	6	-	-	PUNCT
fcis-30253	51	7	resnet	resnet	NOUN
fcis-30253	51	8	)	)	PUNCT
fcis-30253	51	9	when	when	SCONJ
fcis-30253	51	10	the	the	DET
fcis-30253	51	11	number	number	NOUN
fcis-30253	51	12	of	of	ADP
fcis-30253	51	13	network	network	NOUN
fcis-30253	51	14	layers	layer	NOUN
fcis-30253	51	15	continues	continue	VERB
fcis-30253	51	16	to	to	PART
fcis-30253	51	17	increase	increase	VERB
fcis-30253	51	18	,	,	PUNCT
fcis-30253	51	19	problems	problem	NOUN
fcis-30253	51	20	of	of	ADP
fcis-30253	51	21	gradient	gradient	ADJ
fcis-30253	51	22	dispersion	dispersion	NOUN
fcis-30253	51	23	or	or	CCONJ
fcis-30253	51	24	gradient	gradient	NOUN
fcis-30253	51	25	explosion	explosion	NOUN
fcis-30253	51	26	may	may	AUX
fcis-30253	51	27	occur	occur	VERB
fcis-30253	51	28	,	,	PUNCT
fcis-30253	51	29	that	that	ADV
fcis-30253	51	30	is	is	ADV
fcis-30253	51	31	,	,	PUNCT
fcis-30253	51	32	when	when	SCONJ
fcis-30253	51	33	the	the	DET
fcis-30253	51	34	neural	neural	ADJ
fcis-30253	51	35	network	network	NOUN
fcis-30253	51	36	continues	continue	VERB
fcis-30253	51	37	to	to	PART
fcis-30253	51	38	deepen	deepen	VERB
fcis-30253	51	39	,	,	PUNCT
fcis-30253	51	40	then	then	ADV
fcis-30253	51	41	the	the	DET
fcis-30253	51	42	network	network	NOUN
fcis-30253	51	43	may	may	AUX
fcis-30253	51	44	show	show	VERB
fcis-30253	51	45	a	a	DET
fcis-30253	51	46	degradation	degradation	NOUN
fcis-30253	51	47	phenomenon	phenomenon	NOUN
fcis-30253	51	48	.	.	PUNCT
fcis-30253	52	1	to	to	PART
fcis-30253	52	2	solve	solve	VERB
fcis-30253	52	3	this	this	DET
fcis-30253	52	4	problem	problem	NOUN
fcis-30253	52	5	,	,	PUNCT
fcis-30253	52	6	he	he	PRON
fcis-30253	52	7	kaiming	kaime	VERB
fcis-30253	52	8	's	's	PART
fcis-30253	52	9	team	team	NOUN
fcis-30253	52	10	proposed	propose	VERB
fcis-30253	52	11	the	the	DET
fcis-30253	52	12	deep	deep	ADJ
fcis-30253	52	13	residual	residual	ADJ
fcis-30253	52	14	network	network	NOUN
fcis-30253	52	15	(	(	PUNCT
fcis-30253	52	16	resnet	resnet	NOUN
fcis-30253	52	17	)	)	PUNCT
fcis-30253	52	18	.	.	PUNCT
fcis-30253	53	1	consider	consider	VERB
fcis-30253	53	2	adding	add	VERB
fcis-30253	53	3	a	a	DET
fcis-30253	53	4	new	new	ADJ
fcis-30253	53	5	layer	layer	NOUN
fcis-30253	53	6	to	to	ADP
fcis-30253	53	7	the	the	DET
fcis-30253	53	8	shallow	shallow	ADJ
fcis-30253	53	9	layer	layer	NOUN
fcis-30253	53	10	of	of	ADP
fcis-30253	53	11	the	the	DET
fcis-30253	53	12	network	network	NOUN
fcis-30253	53	13	.	.	PUNCT
fcis-30253	54	1	the	the	DET
fcis-30253	54	2	new	new	ADJ
fcis-30253	54	3	layer	layer	NOUN
fcis-30253	54	4	is	be	AUX
fcis-30253	54	5	based	base	VERB
fcis-30253	54	6	on	on	ADP
fcis-30253	54	7	the	the	DET
fcis-30253	54	8	identity	identity	NOUN
fcis-30253	54	9	transformation	transformation	NOUN
fcis-30253	54	10	,	,	PUNCT
fcis-30253	54	11	that	that	ADV
fcis-30253	54	12	is	is	ADV
fcis-30253	54	13	,	,	PUNCT
fcis-30253	54	14	the	the	DET
fcis-30253	54	15	input	input	NOUN
fcis-30253	54	16	and	and	CCONJ
fcis-30253	54	17	output	output	NOUN
fcis-30253	54	18	are	be	AUX
fcis-30253	54	19	an	an	DET
fcis-30253	54	20	equal	equal	ADJ
fcis-30253	54	21	mapping	mapping	NOUN
fcis-30253	54	22	relationship	relationship	NOUN
fcis-30253	54	23	.	.	PUNCT
fcis-30253	55	1	in	in	ADP
fcis-30253	55	2	this	this	DET
fcis-30253	55	3	case	case	NOUN
fcis-30253	55	4	,	,	PUNCT
fcis-30253	55	5	the	the	DET
fcis-30253	55	6	result	result	NOUN
fcis-30253	55	7	obtained	obtain	VERB
fcis-30253	55	8	by	by	ADP
fcis-30253	55	9	the	the	DET
fcis-30253	55	10	deep	deep	ADJ
fcis-30253	55	11	network	network	NOUN
fcis-30253	55	12	should	should	AUX
fcis-30253	55	13	be	be	AUX
fcis-30253	55	14	the	the	DET
fcis-30253	55	15	same	same	ADJ
fcis-30253	55	16	as	as	ADP
fcis-30253	55	17	the	the	DET
fcis-30253	55	18	result	result	NOUN
fcis-30253	55	19	of	of	ADP
fcis-30253	55	20	the	the	DET
fcis-30253	55	21	151	151	NUM
fcis-30253	55	22	shallow	shallow	ADJ
fcis-30253	55	23	network	network	NOUN
fcis-30253	55	24	,	,	PUNCT
fcis-30253	55	25	which	which	PRON
fcis-30253	55	26	greatly	greatly	ADV
fcis-30253	55	27	improves	improve	VERB
fcis-30253	55	28	the	the	DET
fcis-30253	55	29	network	network	NOUN
fcis-30253	55	30	depth	depth	NOUN
fcis-30253	55	31	.	.	PUNCT
fcis-30253	56	1	the	the	DET
fcis-30253	56	2	difference	difference	NOUN
fcis-30253	56	3	between	between	ADP
fcis-30253	56	4	the	the	DET
fcis-30253	56	5	residual	residual	ADJ
fcis-30253	56	6	network	network	NOUN
fcis-30253	56	7	and	and	CCONJ
fcis-30253	56	8	the	the	DET
fcis-30253	56	9	convolutional	convolutional	ADJ
fcis-30253	56	10	neural	neural	ADJ
fcis-30253	56	11	network	network	NOUN
fcis-30253	56	12	is	be	AUX
fcis-30253	56	13	that	that	SCONJ
fcis-30253	56	14	there	there	PRON
fcis-30253	56	15	is	be	VERB
fcis-30253	56	16	an	an	DET
fcis-30253	56	17	additional	additional	ADJ
fcis-30253	56	18	residual	residual	ADJ
fcis-30253	56	19	block	block	NOUN
fcis-30253	56	20	.	.	PUNCT
fcis-30253	57	1	the	the	DET
fcis-30253	57	2	expression	expression	NOUN
fcis-30253	57	3	of	of	ADP
fcis-30253	57	4	the	the	DET
fcis-30253	57	5	residual	residual	ADJ
fcis-30253	57	6	block	block	NOUN
fcis-30253	57	7	is	be	AUX
fcis-30253	57	8	as	as	SCONJ
fcis-30253	57	9	follows	follow	VERB
fcis-30253	57	10	:	:	PUNCT
fcis-30253	57	11	,	,	PUNCT
fcis-30253	57	12	11	11	NUM
fcis-30253	57	13	the	the	DET
fcis-30253	57	14	framework	framework	NOUN
fcis-30253	57	15	of	of	ADP
fcis-30253	57	16	the	the	DET
fcis-30253	57	17	residual	residual	ADJ
fcis-30253	57	18	block	block	NOUN
fcis-30253	57	19	is	be	AUX
fcis-30253	57	20	shown	show	VERB
fcis-30253	57	21	in	in	ADP
fcis-30253	57	22	fig	fig	NOUN
fcis-30253	57	23	4	4	NUM
fcis-30253	57	24	.	.	PUNCT
fcis-30253	58	1	convolution	convolution	NOUN
fcis-30253	58	2	batch	batch	NOUN
fcis-30253	58	3	normalization	normalization	NOUN
fcis-30253	58	4	(	(	PUNCT
fcis-30253	58	5	bn	bn	NOUN
fcis-30253	58	6	)	)	PUNCT
fcis-30253	58	7	relu	relu	NOUN
fcis-30253	58	8	convolution	convolution	NOUN
fcis-30253	58	9	batch	batch	NOUN
fcis-30253	58	10	normalization	normalization	NOUN
fcis-30253	58	11	(	(	PUNCT
fcis-30253	58	12	bn	bn	NOUN
fcis-30253	58	13	)	)	PUNCT
fcis-30253	58	14	xl	xl	PROPN
fcis-30253	59	1	r	r	NOUN
fcis-30253	59	2	es	es	X
fcis-30253	59	3	i	i	PRON
fcis-30253	59	4	du	du	VERB
fcis-30253	59	5	a	a	DET
fcis-30253	59	6	l	l	NOUN
fcis-30253	59	7	b	b	X
fcis-30253	60	1	lo	lo	NOUN
fcis-30253	60	2	c	c	NOUN
fcis-30253	61	1	k	k	PROPN
fcis-30253	61	2	f	f	X
fcis-30253	61	3	(	(	PUNCT
fcis-30253	61	4	x	x	X
fcis-30253	61	5	)	)	PUNCT
fcis-30253	61	6	relu	relu	NOUN
fcis-30253	61	7	f(x)+xl	f(x)+xl	PROPN
fcis-30253	61	8	figure	figure	NOUN
fcis-30253	61	9	4	4	NUM
fcis-30253	61	10	.	.	PUNCT
fcis-30253	61	11	residual	residual	ADJ
fcis-30253	61	12	block	block	NOUN
fcis-30253	61	13	framework	framework	NOUN
fcis-30253	61	14	f(x	f(x	PROPN
fcis-30253	61	15	)	)	PUNCT
fcis-30253	61	16	is	be	AUX
fcis-30253	61	17	the	the	DET
fcis-30253	61	18	key	key	NOUN
fcis-30253	61	19	of	of	ADP
fcis-30253	61	20	the	the	DET
fcis-30253	61	21	residual	residual	ADJ
fcis-30253	61	22	network	network	NOUN
fcis-30253	61	23	.	.	PUNCT
fcis-30253	62	1	when	when	SCONJ
fcis-30253	62	2	the	the	DET
fcis-30253	62	3	residual	residual	ADJ
fcis-30253	62	4	block	block	NOUN
fcis-30253	62	5	is	be	AUX
fcis-30253	62	6	0	0	NUM
fcis-30253	62	7	,	,	PUNCT
fcis-30253	62	8	the	the	DET
fcis-30253	62	9	network	network	NOUN
fcis-30253	62	10	performs	perform	VERB
fcis-30253	62	11	an	an	DET
fcis-30253	62	12	identity	identity	NOUN
fcis-30253	62	13	mapping	mapping	NOUN
fcis-30253	62	14	.	.	PUNCT
fcis-30253	63	1	4	4	X
fcis-30253	63	2	.	.	X
fcis-30253	63	3	interference	interference	NOUN
fcis-30253	63	4	recognition	recognition	NOUN
fcis-30253	63	5	network	network	NOUN
fcis-30253	63	6	based	base	VERB
fcis-30253	63	7	on	on	ADP
fcis-30253	63	8	cv	cv	PROPN
fcis-30253	63	9	-	-	PUNCT
fcis-30253	63	10	r	r	NOUN
fcis-30253	63	11	-	-	PUNCT
fcis-30253	63	12	bilstm	bilstm	NOUN
fcis-30253	63	13	-	-	PUNCT
fcis-30253	63	14	a	a	PRON
fcis-30253	63	15	(	(	PUNCT
fcis-30253	63	16	1)data	1)data	NUM
fcis-30253	63	17	preprocessing	preprocesse	VERB
fcis-30253	63	18	the	the	DET
fcis-30253	63	19	intensity	intensity	NOUN
fcis-30253	63	20	of	of	ADP
fcis-30253	63	21	the	the	DET
fcis-30253	63	22	interference	interference	NOUN
fcis-30253	63	23	signal	signal	NOUN
fcis-30253	63	24	may	may	AUX
fcis-30253	63	25	vary	vary	VERB
fcis-30253	63	26	.	.	PUNCT
fcis-30253	64	1	in	in	ADP
fcis-30253	64	2	order	order	NOUN
fcis-30253	64	3	to	to	PART
fcis-30253	64	4	avoid	avoid	VERB
fcis-30253	64	5	the	the	DET
fcis-30253	64	6	influence	influence	NOUN
fcis-30253	64	7	of	of	ADP
fcis-30253	64	8	different	different	ADJ
fcis-30253	64	9	amplitudes	amplitude	NOUN
fcis-30253	64	10	,	,	PUNCT
fcis-30253	64	11	powers	power	NOUN
fcis-30253	64	12	,	,	PUNCT
fcis-30253	64	13	etc	etc	X
fcis-30253	64	14	.	.	X
fcis-30253	64	15	on	on	ADP
fcis-30253	64	16	the	the	DET
fcis-30253	64	17	recognition	recognition	NOUN
fcis-30253	64	18	performance	performance	NOUN
fcis-30253	64	19	,	,	PUNCT
fcis-30253	64	20	a	a	DET
fcis-30253	64	21	power	power	NOUN
fcis-30253	64	22	normalization	normalization	NOUN
fcis-30253	64	23	operation	operation	NOUN
fcis-30253	64	24	is	be	AUX
fcis-30253	64	25	performed	perform	VERB
fcis-30253	64	26	on	on	ADP
fcis-30253	64	27	the	the	DET
fcis-30253	64	28	signal	signal	NOUN
fcis-30253	64	29	x(n	x(n	NOUN
fcis-30253	64	30	)	)	PUNCT
fcis-30253	64	31	.	.	PUNCT
fcis-30253	65	1	̅	̅	PROPN
fcis-30253	65	2	1⁄	1⁄	NUM
fcis-30253	65	3	∑	∑	PUNCT
fcis-30253	66	1	|	|	ADV
fcis-30253	66	2	|	|	ADV
fcis-30253	66	3	12	12	NUM
fcis-30253	66	4	where	where	SCONJ
fcis-30253	66	5	n	n	PRON
fcis-30253	66	6	is	be	AUX
fcis-30253	66	7	the	the	DET
fcis-30253	66	8	sampling	sampling	NOUN
fcis-30253	66	9	point	point	NOUN
fcis-30253	66	10	.	.	PUNCT
fcis-30253	67	1	when	when	SCONJ
fcis-30253	67	2	the	the	DET
fcis-30253	67	3	original	original	ADJ
fcis-30253	67	4	signal	signal	NOUN
fcis-30253	67	5	is	be	AUX
fcis-30253	67	6	collected	collect	VERB
fcis-30253	67	7	using	use	VERB
fcis-30253	67	8	time	time	NOUN
fcis-30253	67	9	-	-	PUNCT
fcis-30253	67	10	domain	domain	NOUN
fcis-30253	67	11	truncation	truncation	NOUN
fcis-30253	67	12	,	,	PUNCT
fcis-30253	67	13	it	it	PRON
fcis-30253	67	14	will	will	AUX
fcis-30253	67	15	cause	cause	VERB
fcis-30253	67	16	spectral	spectral	ADJ
fcis-30253	67	17	energy	energy	NOUN
fcis-30253	67	18	loss	loss	NOUN
fcis-30253	67	19	,	,	PUNCT
fcis-30253	67	20	and	and	CCONJ
fcis-30253	67	21	using	use	VERB
fcis-30253	67	22	the	the	DET
fcis-30253	67	23	hanning	hanning	NOUN
fcis-30253	67	24	window	window	NOUN
fcis-30253	67	25	can	can	AUX
fcis-30253	67	26	reduce	reduce	VERB
fcis-30253	67	27	leakage	leakage	NOUN
fcis-30253	67	28	.	.	PUNCT
fcis-30253	68	1	(	(	PUNCT
fcis-30253	68	2	2)network	2)network	NUM
fcis-30253	68	3	input	input	VERB
fcis-30253	68	4	the	the	DET
fcis-30253	68	5	received	receive	VERB
fcis-30253	68	6	signal	signal	NOUN
fcis-30253	68	7	sequence	sequence	NOUN
fcis-30253	68	8	contains	contain	VERB
fcis-30253	68	9	the	the	DET
fcis-30253	68	10	interference	interference	NOUN
fcis-30253	68	11	signal	signal	NOUN
fcis-30253	68	12	and	and	CCONJ
fcis-30253	68	13	gaussian	gaussian	ADJ
fcis-30253	68	14	noise	noise	NOUN
fcis-30253	68	15	.	.	PUNCT
fcis-30253	69	1	its	its	PRON
fcis-30253	69	2	mathematical	mathematical	ADJ
fcis-30253	69	3	model	model	NOUN
fcis-30253	69	4	is	be	AUX
fcis-30253	69	5	:	:	PUNCT
fcis-30253	69	6	13	13	NUM
fcis-30253	69	7	where	where	SCONJ
fcis-30253	69	8	j	j	PROPN
fcis-30253	69	9	is	be	AUX
fcis-30253	69	10	the	the	DET
fcis-30253	69	11	interference	interference	NOUN
fcis-30253	69	12	signal	signal	NOUN
fcis-30253	69	13	and	and	CCONJ
fcis-30253	69	14	n	n	NOUN
fcis-30253	69	15	is	be	AUX
fcis-30253	69	16	the	the	DET
fcis-30253	69	17	gaussian	gaussian	ADJ
fcis-30253	69	18	noise	noise	NOUN
fcis-30253	69	19	.	.	PUNCT
fcis-30253	70	1	the	the	DET
fcis-30253	70	2	input	input	NOUN
fcis-30253	70	3	data	data	NOUN
fcis-30253	70	4	format	format	NOUN
fcis-30253	70	5	is	be	AUX
fcis-30253	70	6	the	the	DET
fcis-30253	70	7	i	i	NOUN
fcis-30253	70	8	and	and	CCONJ
fcis-30253	70	9	q	q	PROPN
fcis-30253	70	10	paths	path	NOUN
fcis-30253	70	11	of	of	ADP
fcis-30253	70	12	the	the	DET
fcis-30253	70	13	interference	interference	NOUN
fcis-30253	70	14	signal	signal	NOUN
fcis-30253	70	15	.	.	PUNCT
fcis-30253	71	1	the	the	DET
fcis-30253	71	2	network	network	NOUN
fcis-30253	71	3	label	label	NOUN
fcis-30253	71	4	selects	select	VERB
fcis-30253	71	5	the	the	DET
fcis-30253	71	6	one	one	NUM
fcis-30253	71	7	-	-	PUNCT
fcis-30253	71	8	hot	hot	ADJ
fcis-30253	71	9	encoding	encoding	NOUN
fcis-30253	71	10	of	of	ADP
fcis-30253	71	11	the	the	DET
fcis-30253	71	12	signal	signal	ADJ
fcis-30253	71	13	category	category	NOUN
fcis-30253	71	14	.	.	PUNCT
fcis-30253	72	1	(	(	PUNCT
fcis-30253	72	2	3)interference	3)interference	NUM
fcis-30253	72	3	recognition	recognition	NOUN
fcis-30253	72	4	structure	structure	NOUN
fcis-30253	72	5	based	base	VERB
fcis-30253	72	6	on	on	ADP
fcis-30253	72	7	cv	cv	PROPN
fcis-30253	72	8	-	-	PUNCT
fcis-30253	72	9	rbilstm	rbilstm	NOUN
fcis-30253	72	10	-	-	PUNCT
fcis-30253	72	11	a	a	NOUN
fcis-30253	72	12	in	in	ADP
fcis-30253	72	13	the	the	DET
fcis-30253	72	14	existing	exist	VERB
fcis-30253	72	15	interference	interference	NOUN
fcis-30253	72	16	recognition	recognition	NOUN
fcis-30253	72	17	methods	method	NOUN
fcis-30253	72	18	,	,	PUNCT
fcis-30253	72	19	manual	manual	ADJ
fcis-30253	72	20	feature	feature	NOUN
fcis-30253	72	21	extraction	extraction	NOUN
fcis-30253	72	22	is	be	AUX
fcis-30253	72	23	required	require	VERB
fcis-30253	72	24	,	,	PUNCT
fcis-30253	72	25	which	which	PRON
fcis-30253	72	26	has	have	VERB
fcis-30253	72	27	a	a	DET
fcis-30253	72	28	high	high	ADJ
fcis-30253	72	29	computational	computational	ADJ
fcis-30253	72	30	complexity	complexity	NOUN
fcis-30253	72	31	and	and	CCONJ
fcis-30253	72	32	may	may	AUX
fcis-30253	72	33	result	result	VERB
fcis-30253	72	34	in	in	ADP
fcis-30253	72	35	incomplete	incomplete	ADJ
fcis-30253	72	36	or	or	CCONJ
fcis-30253	72	37	redundant	redundant	ADJ
fcis-30253	72	38	feature	feature	NOUN
fcis-30253	72	39	extraction	extraction	NOUN
fcis-30253	72	40	.	.	PUNCT
fcis-30253	73	1	in	in	ADP
fcis-30253	73	2	view	view	NOUN
fcis-30253	73	3	of	of	ADP
fcis-30253	73	4	the	the	DET
fcis-30253	73	5	shortcomings	shortcoming	NOUN
fcis-30253	73	6	of	of	ADP
fcis-30253	73	7	the	the	DET
fcis-30253	73	8	existing	exist	VERB
fcis-30253	73	9	methods	method	NOUN
fcis-30253	73	10	,	,	PUNCT
fcis-30253	73	11	this	this	DET
fcis-30253	73	12	paper	paper	NOUN
fcis-30253	73	13	uses	use	VERB
fcis-30253	73	14	the	the	DET
fcis-30253	73	15	deep	deep	ADJ
fcis-30253	73	16	learning	learning	NOUN
fcis-30253	73	17	method	method	NOUN
fcis-30253	73	18	to	to	PART
fcis-30253	73	19	identify	identify	VERB
fcis-30253	73	20	the	the	DET
fcis-30253	73	21	interference	interference	NOUN
fcis-30253	73	22	signal	signal	NOUN
fcis-30253	73	23	.	.	PUNCT
fcis-30253	74	1	an	an	DET
fcis-30253	74	2	interference	interference	NOUN
fcis-30253	74	3	recognition	recognition	NOUN
fcis-30253	74	4	network	network	NOUN
fcis-30253	74	5	based	base	VERB
fcis-30253	74	6	on	on	ADP
fcis-30253	74	7	complex	complex	ADJ
fcis-30253	74	8	valued	value	VERB
fcis-30253	74	9	residual	residual	ADJ
fcis-30253	74	10	bi	bi	ADJ
fcis-30253	74	11	directional	directional	ADJ
fcis-30253	74	12	long	long	ADJ
fcis-30253	74	13	short	short	ADJ
fcis-30253	74	14	term	term	NOUN
fcis-30253	74	15	memory	memory	NOUN
fcis-30253	74	16	attention	attention	NOUN
fcis-30253	74	17	(	(	PUNCT
fcis-30253	74	18	cv	cv	NOUN
fcis-30253	74	19	-	-	PUNCT
fcis-30253	74	20	r	r	NOUN
fcis-30253	74	21	-	-	PUNCT
fcis-30253	74	22	bilstm	bilstm	NOUN
fcis-30253	74	23	-	-	PUNCT
fcis-30253	74	24	a	a	NOUN
fcis-30253	74	25	)	)	PUNCT
fcis-30253	74	26	is	be	AUX
fcis-30253	74	27	built	build	VERB
fcis-30253	74	28	,	,	PUNCT
fcis-30253	74	29	where	where	SCONJ
fcis-30253	74	30	cv	cv	PROPN
fcis-30253	74	31	represents	represent	VERB
fcis-30253	74	32	complex	complex	ADJ
fcis-30253	74	33	convolution	convolution	NOUN
fcis-30253	74	34	,	,	PUNCT
fcis-30253	74	35	r	r	NOUN
fcis-30253	74	36	represents	represent	VERB
fcis-30253	74	37	the	the	DET
fcis-30253	74	38	residual	residual	ADJ
fcis-30253	74	39	network	network	NOUN
fcis-30253	74	40	,	,	PUNCT
fcis-30253	74	41	and	and	CCONJ
fcis-30253	74	42	a	a	PRON
fcis-30253	74	43	represents	represent	VERB
fcis-30253	74	44	the	the	DET
fcis-30253	74	45	attention	attention	NOUN
fcis-30253	74	46	mechanism	mechanism	NOUN
fcis-30253	74	47	.	.	PUNCT
fcis-30253	75	1	the	the	DET
fcis-30253	75	2	data	datum	NOUN
fcis-30253	75	3	of	of	ADP
fcis-30253	75	4	the	the	DET
fcis-30253	75	5	interference	interference	NOUN
fcis-30253	75	6	signal	signal	NOUN
fcis-30253	75	7	generally	generally	ADV
fcis-30253	75	8	includes	include	VERB
fcis-30253	75	9	two	two	NUM
fcis-30253	75	10	parts	part	NOUN
fcis-30253	75	11	:	:	PUNCT
fcis-30253	75	12	the	the	DET
fcis-30253	75	13	real	real	ADJ
fcis-30253	75	14	part	part	NOUN
fcis-30253	75	15	and	and	CCONJ
fcis-30253	75	16	the	the	DET
fcis-30253	75	17	imaginary	imaginary	ADJ
fcis-30253	75	18	part	part	NOUN
fcis-30253	75	19	.	.	PUNCT
fcis-30253	76	1	most	most	ADJ
fcis-30253	76	2	deep	deep	ADJ
fcis-30253	76	3	learning	learning	NOUN
fcis-30253	76	4	networks	network	NOUN
fcis-30253	76	5	only	only	ADV
fcis-30253	76	6	study	study	VERB
fcis-30253	76	7	the	the	DET
fcis-30253	76	8	real	real	ADJ
fcis-30253	76	9	part	part	NOUN
fcis-30253	76	10	of	of	ADP
fcis-30253	76	11	the	the	DET
fcis-30253	76	12	signal	signal	NOUN
fcis-30253	76	13	,	,	PUNCT
fcis-30253	76	14	which	which	PRON
fcis-30253	76	15	will	will	AUX
fcis-30253	76	16	destroy	destroy	VERB
fcis-30253	76	17	the	the	DET
fcis-30253	76	18	direct	direct	ADJ
fcis-30253	76	19	correlation	correlation	NOUN
fcis-30253	76	20	between	between	ADP
fcis-30253	76	21	the	the	DET
fcis-30253	76	22	real	real	ADJ
fcis-30253	76	23	part	part	NOUN
fcis-30253	76	24	and	and	CCONJ
fcis-30253	76	25	the	the	DET
fcis-30253	76	26	imaginary	imaginary	ADJ
fcis-30253	76	27	part	part	NOUN
fcis-30253	76	28	in	in	ADP
fcis-30253	76	29	the	the	DET
fcis-30253	76	30	interference	interference	NOUN
fcis-30253	76	31	signal	signal	NOUN
fcis-30253	76	32	.	.	PUNCT
fcis-30253	77	1	therefore	therefore	ADV
fcis-30253	77	2	,	,	PUNCT
fcis-30253	77	3	this	this	DET
fcis-30253	77	4	paper	paper	NOUN
fcis-30253	77	5	will	will	AUX
fcis-30253	77	6	introduce	introduce	VERB
fcis-30253	77	7	the	the	DET
fcis-30253	77	8	complex	complex	ADJ
fcis-30253	77	9	convolution	convolution	NOUN
fcis-30253	77	10	network	network	NOUN
fcis-30253	77	11	[	[	X
fcis-30253	77	12	70	70	NUM
fcis-30253	77	13	]	]	PUNCT
fcis-30253	77	14	.	.	PUNCT
fcis-30253	78	1	it	it	PRON
fcis-30253	78	2	is	be	AUX
fcis-30253	78	3	applied	apply	VERB
fcis-30253	78	4	to	to	ADP
fcis-30253	78	5	the	the	DET
fcis-30253	78	6	interference	interference	NOUN
fcis-30253	78	7	signal	signal	NOUN
fcis-30253	78	8	recognition	recognition	NOUN
fcis-30253	78	9	.	.	PUNCT
fcis-30253	79	1	as	as	ADP
fcis-30253	79	2	the	the	DET
fcis-30253	79	3	network	network	NOUN
fcis-30253	79	4	depth	depth	NOUN
fcis-30253	79	5	increases	increase	NOUN
fcis-30253	79	6	,	,	PUNCT
fcis-30253	79	7	the	the	DET
fcis-30253	79	8	network	network	NOUN
fcis-30253	79	9	performance	performance	NOUN
fcis-30253	79	10	deteriorates	deteriorate	VERB
fcis-30253	79	11	.	.	PUNCT
fcis-30253	80	1	therefore	therefore	ADV
fcis-30253	80	2	,	,	PUNCT
fcis-30253	80	3	when	when	SCONJ
fcis-30253	80	4	designing	design	VERB
fcis-30253	80	5	this	this	DET
fcis-30253	80	6	network	network	NOUN
fcis-30253	80	7	,	,	PUNCT
fcis-30253	80	8	a	a	DET
fcis-30253	80	9	residual	residual	ADJ
fcis-30253	80	10	structure	structure	NOUN
fcis-30253	80	11	is	be	AUX
fcis-30253	80	12	proposed	propose	VERB
fcis-30253	80	13	to	to	PART
fcis-30253	80	14	address	address	VERB
fcis-30253	80	15	this	this	DET
fcis-30253	80	16	problem	problem	NOUN
fcis-30253	80	17	,	,	PUNCT
fcis-30253	80	18	which	which	PRON
fcis-30253	80	19	can	can	AUX
fcis-30253	80	20	effectively	effectively	ADV
fcis-30253	80	21	solve	solve	VERB
fcis-30253	80	22	the	the	DET
fcis-30253	80	23	problem	problem	NOUN
fcis-30253	80	24	of	of	ADP
fcis-30253	80	25	gradient	gradient	ADJ
fcis-30253	80	26	explosion	explosion	NOUN
fcis-30253	80	27	.	.	PUNCT
fcis-30253	81	1	after	after	ADP
fcis-30253	81	2	extracting	extract	VERB
fcis-30253	81	3	the	the	DET
fcis-30253	81	4	features	feature	NOUN
fcis-30253	81	5	of	of	ADP
fcis-30253	81	6	the	the	DET
fcis-30253	81	7	signal	signal	NOUN
fcis-30253	81	8	through	through	ADP
fcis-30253	81	9	convolution	convolution	NOUN
fcis-30253	81	10	,	,	PUNCT
fcis-30253	81	11	the	the	DET
fcis-30253	81	12	bilstm	bilstm	NOUN
fcis-30253	81	13	module	module	NOUN
fcis-30253	81	14	is	be	AUX
fcis-30253	81	15	added	add	VERB
fcis-30253	81	16	to	to	PART
fcis-30253	81	17	extract	extract	VERB
fcis-30253	81	18	the	the	DET
fcis-30253	81	19	temporal	temporal	ADJ
fcis-30253	81	20	features	feature	NOUN
fcis-30253	81	21	of	of	ADP
fcis-30253	81	22	the	the	DET
fcis-30253	81	23	interference	interference	NOUN
fcis-30253	81	24	signal	signal	NOUN
fcis-30253	81	25	using	use	VERB
fcis-30253	81	26	the	the	DET
fcis-30253	81	27	bilstm	bilstm	NOUN
fcis-30253	81	28	module	module	NOUN
fcis-30253	81	29	.	.	PUNCT
fcis-30253	82	1	finally	finally	ADV
fcis-30253	82	2	,	,	PUNCT
fcis-30253	82	3	the	the	DET
fcis-30253	82	4	attention	attention	NOUN
fcis-30253	82	5	mechanism	mechanism	NOUN
fcis-30253	82	6	module	module	NOUN
fcis-30253	82	7	is	be	AUX
fcis-30253	82	8	added	add	VERB
fcis-30253	82	9	to	to	PART
fcis-30253	82	10	calculate	calculate	VERB
fcis-30253	82	11	the	the	DET
fcis-30253	82	12	memory	memory	NOUN
fcis-30253	82	13	distribution	distribution	NOUN
fcis-30253	82	14	of	of	ADP
fcis-30253	82	15	the	the	DET
fcis-30253	82	16	features	feature	NOUN
fcis-30253	82	17	,	,	PUNCT
fcis-30253	82	18	distinguish	distinguish	VERB
fcis-30253	82	19	the	the	DET
fcis-30253	82	20	importance	importance	NOUN
fcis-30253	82	21	of	of	ADP
fcis-30253	82	22	the	the	DET
fcis-30253	82	23	feature	feature	NOUN
fcis-30253	82	24	information	information	NOUN
fcis-30253	82	25	,	,	PUNCT
fcis-30253	82	26	and	and	CCONJ
fcis-30253	82	27	use	use	VERB
fcis-30253	82	28	softmax	softmax	NOUN
fcis-30253	82	29	to	to	PART
fcis-30253	82	30	classify	classify	VERB
fcis-30253	82	31	the	the	DET
fcis-30253	82	32	output	output	NOUN
fcis-30253	82	33	to	to	PART
fcis-30253	82	34	complete	complete	VERB
fcis-30253	82	35	the	the	DET
fcis-30253	82	36	recognition	recognition	NOUN
fcis-30253	82	37	.	.	PUNCT
fcis-30253	83	1	the	the	DET
fcis-30253	83	2	network	network	NOUN
fcis-30253	83	3	structure	structure	NOUN
fcis-30253	83	4	diagram	diagram	NOUN
fcis-30253	83	5	of	of	ADP
fcis-30253	83	6	cv	cv	PROPN
fcis-30253	83	7	-	-	PUNCT
fcis-30253	83	8	r	r	NOUN
fcis-30253	83	9	-	-	PUNCT
fcis-30253	83	10	bilstm	bilstm	NOUN
fcis-30253	83	11	-	-	PUNCT
fcis-30253	83	12	a	a	NOUN
fcis-30253	83	13	is	be	AUX
fcis-30253	83	14	shown	show	VERB
fcis-30253	83	15	in	in	ADP
fcis-30253	83	16	fig	fig	NOUN
fcis-30253	83	17	5	5	NUM
fcis-30253	83	18	.	.	PUNCT
fcis-30253	84	1	complex	complex	ADJ
fcis-30253	84	2	conv_1	conv_1	PROPN
fcis-30253	84	3	max	max	PROPN
fcis-30253	84	4	pool	pool	NOUN
fcis-30253	84	5	input	input	NOUN
fcis-30253	84	6	data	datum	NOUN
fcis-30253	84	7	complex	complex	PROPN
fcis-30253	84	8	conv_2	conv_2	PROPN
fcis-30253	84	9	average	average	ADJ
fcis-30253	84	10	pool	pool	NOUN
fcis-30253	84	11	fc	fc	NOUN
fcis-30253	84	12	/	/	SYM
fcis-30253	84	13	softmax	softmax	NOUN
fcis-30253	84	14	bilstm	bilstm	NOUN
fcis-30253	84	15	complex	complex	PROPN
fcis-30253	84	16	conv_3	conv_3	VERB
fcis-30253	84	17	complex	complex	ADJ
fcis-30253	84	18	conv_4	conv_4	NOUN
fcis-30253	84	19	complex	complex	ADJ
fcis-30253	84	20	conv_5	conv_5	NOUN
fcis-30253	84	21	attention	attention	NOUN
fcis-30253	84	22	mechanism	mechanism	NOUN
fcis-30253	84	23	figure	figure	NOUN
fcis-30253	84	24	5	5	NUM
fcis-30253	84	25	.	.	PUNCT
fcis-30253	85	1	the	the	DET
fcis-30253	85	2	structure	structure	NOUN
fcis-30253	85	3	diagram	diagram	NOUN
fcis-30253	85	4	of	of	ADP
fcis-30253	85	5	the	the	DET
fcis-30253	85	6	interference	interference	NOUN
fcis-30253	85	7	recognition	recognition	NOUN
fcis-30253	85	8	network	network	NOUN
fcis-30253	85	9	based	base	VERB
fcis-30253	85	10	on	on	ADP
fcis-30253	85	11	cv	cv	PROPN
fcis-30253	85	12	-	-	PUNCT
fcis-30253	85	13	r	r	NOUN
fcis-30253	85	14	-	-	PUNCT
fcis-30253	85	15	bilstm	bilstm	NOUN
fcis-30253	85	16	-	-	PUNCT
fcis-30253	85	17	a	a	PRON
fcis-30253	85	18	this	this	DET
fcis-30253	85	19	network	network	NOUN
fcis-30253	85	20	first	first	ADV
fcis-30253	85	21	inputs	input	VERB
fcis-30253	85	22	the	the	DET
fcis-30253	85	23	processed	process	VERB
fcis-30253	85	24	data	datum	NOUN
fcis-30253	85	25	into	into	ADP
fcis-30253	85	26	the	the	DET
fcis-30253	85	27	first	first	ADJ
fcis-30253	85	28	convolutional	convolutional	ADJ
fcis-30253	85	29	layer	layer	NOUN
fcis-30253	85	30	for	for	ADP
fcis-30253	85	31	feature	feature	NOUN
fcis-30253	85	32	extraction	extraction	NOUN
fcis-30253	85	33	,	,	PUNCT
fcis-30253	85	34	where	where	SCONJ
fcis-30253	85	35	the	the	DET
fcis-30253	85	36	convolution	convolution	NOUN
fcis-30253	85	37	kernel	kernel	NOUN
fcis-30253	85	38	is	be	AUX
fcis-30253	85	39	7	7	NUM
fcis-30253	85	40	*	*	SYM
fcis-30253	85	41	1	1	NUM
fcis-30253	85	42	and	and	CCONJ
fcis-30253	85	43	the	the	DET
fcis-30253	85	44	stride	stride	NOUN
fcis-30253	85	45	is	be	AUX
fcis-30253	85	46	2	2	NUM
fcis-30253	85	47	;	;	PUNCT
fcis-30253	85	48	then	then	ADV
fcis-30253	85	49	the	the	DET
fcis-30253	85	50	data	data	NOUN
fcis-30253	85	51	passes	pass	VERB
fcis-30253	85	52	through	through	ADP
fcis-30253	85	53	a	a	DET
fcis-30253	85	54	maximum	maximum	ADJ
fcis-30253	85	55	pooling	pooling	NOUN
fcis-30253	85	56	layer	layer	NOUN
fcis-30253	85	57	with	with	ADP
fcis-30253	85	58	a	a	DET
fcis-30253	85	59	stride	stride	NOUN
fcis-30253	85	60	of	of	ADP
fcis-30253	85	61	2	2	NUM
fcis-30253	85	62	;	;	PUNCT
fcis-30253	85	63	then	then	ADV
fcis-30253	85	64	the	the	DET
fcis-30253	85	65	data	datum	NOUN
fcis-30253	85	66	will	will	AUX
fcis-30253	85	67	pass	pass	VERB
fcis-30253	85	68	through	through	ADP
fcis-30253	85	69	4	4	NUM
fcis-30253	85	70	convolutional	convolutional	ADJ
fcis-30253	85	71	layers	layer	NOUN
fcis-30253	85	72	complex	complex	ADJ
fcis-30253	85	73	conv_2	conv_2	NOUN
fcis-30253	85	74	~	~	PUNCT
fcis-30253	85	75	complex	complex	ADJ
fcis-30253	85	76	conv_5	conv_5	NOUN
fcis-30253	85	77	,	,	PUNCT
fcis-30253	85	78	and	and	CCONJ
fcis-30253	85	79	a	a	DET
fcis-30253	85	80	residual	residual	ADJ
fcis-30253	85	81	connection	connection	NOUN
fcis-30253	85	82	is	be	AUX
fcis-30253	85	83	constructed	construct	VERB
fcis-30253	85	84	between	between	ADP
fcis-30253	85	85	the	the	DET
fcis-30253	85	86	convolutional	convolutional	ADJ
fcis-30253	85	87	layers	layer	NOUN
fcis-30253	85	88	.	.	PUNCT
fcis-30253	86	1	the	the	DET
fcis-30253	86	2	parameters	parameter	NOUN
fcis-30253	86	3	of	of	ADP
fcis-30253	86	4	different	different	ADJ
fcis-30253	86	5	convolutional	convolutional	ADJ
fcis-30253	86	6	layers	layer	NOUN
fcis-30253	86	7	are	be	AUX
fcis-30253	86	8	shown	show	VERB
fcis-30253	86	9	in	in	ADP
fcis-30253	86	10	table	table	NOUN
fcis-30253	86	11	1	1	NUM
fcis-30253	86	12	.	.	PUNCT
fcis-30253	87	1	the	the	DET
fcis-30253	87	2	activation	activation	NOUN
fcis-30253	87	3	function	function	NOUN
fcis-30253	87	4	selected	select	VERB
fcis-30253	87	5	is	be	AUX
fcis-30253	87	6	the	the	DET
fcis-30253	87	7	crelu	crelu	PROPN
fcis-30253	87	8	function	function	NOUN
fcis-30253	87	9	,	,	PUNCT
fcis-30253	87	10	and	and	CCONJ
fcis-30253	87	11	in	in	ADP
fcis-30253	87	12	order	order	NOUN
fcis-30253	87	13	to	to	PART
fcis-30253	87	14	improve	improve	VERB
fcis-30253	87	15	the	the	DET
fcis-30253	87	16	training	training	NOUN
fcis-30253	87	17	speed	speed	NOUN
fcis-30253	87	18	of	of	ADP
fcis-30253	87	19	the	the	DET
fcis-30253	87	20	network	network	NOUN
fcis-30253	87	21	and	and	CCONJ
fcis-30253	87	22	effectively	effectively	ADV
fcis-30253	87	23	alleviate	alleviate	VERB
fcis-30253	87	24	the	the	DET
fcis-30253	87	25	problem	problem	NOUN
fcis-30253	87	26	of	of	ADP
fcis-30253	87	27	gradient	gradient	ADJ
fcis-30253	87	28	loss	loss	NOUN
fcis-30253	87	29	,	,	PUNCT
fcis-30253	87	30	a	a	DET
fcis-30253	87	31	bn	bn	NOUN
fcis-30253	87	32	layer	layer	NOUN
fcis-30253	87	33	is	be	AUX
fcis-30253	87	34	added	add	VERB
fcis-30253	87	35	before	before	ADP
fcis-30253	87	36	using	use	VERB
fcis-30253	87	37	the	the	DET
fcis-30253	87	38	activation	activation	NOUN
fcis-30253	87	39	function	function	NOUN
fcis-30253	87	40	in	in	ADP
fcis-30253	87	41	each	each	DET
fcis-30253	87	42	convolutional	convolutional	ADJ
fcis-30253	87	43	layer	layer	NOUN
fcis-30253	87	44	.	.	PUNCT
fcis-30253	88	1	then	then	ADV
fcis-30253	88	2	the	the	DET
fcis-30253	88	3	data	data	NOUN
fcis-30253	88	4	is	be	AUX
fcis-30253	88	5	input	input	VERB
fcis-30253	88	6	into	into	ADP
fcis-30253	88	7	bilstm	bilstm	NOUN
fcis-30253	88	8	,	,	PUNCT
fcis-30253	88	9	which	which	PRON
fcis-30253	88	10	is	be	AUX
fcis-30253	88	11	composed	compose	VERB
fcis-30253	88	12	of	of	ADP
fcis-30253	88	13	two	two	NUM
fcis-30253	88	14	layers	layer	NOUN
fcis-30253	88	15	of	of	ADP
fcis-30253	88	16	lstm	lstm	NOUN
fcis-30253	88	17	with	with	ADP
fcis-30253	88	18	256	256	NUM
fcis-30253	88	19	neurons	neuron	NOUN
fcis-30253	88	20	,	,	PUNCT
fcis-30253	88	21	and	and	CCONJ
fcis-30253	88	22	the	the	DET
fcis-30253	88	23	activation	activation	NOUN
fcis-30253	88	24	function	function	NOUN
fcis-30253	88	25	selected	select	VERB
fcis-30253	88	26	is	be	AUX
fcis-30253	88	27	sigmoid	sigmoid	NOUN
fcis-30253	88	28	.	.	PUNCT
fcis-30253	89	1	the	the	DET
fcis-30253	89	2	attention	attention	NOUN
fcis-30253	89	3	layer	layer	NOUN
fcis-30253	89	4	calculates	calculate	VERB
fcis-30253	89	5	the	the	DET
fcis-30253	89	6	attention	attention	NOUN
fcis-30253	89	7	distribution	distribution	NOUN
fcis-30253	89	8	in	in	ADP
fcis-30253	89	9	the	the	DET
fcis-30253	89	10	feature	feature	NOUN
fcis-30253	89	11	152	152	NUM
fcis-30253	89	12	information	information	NOUN
fcis-30253	89	13	,	,	PUNCT
fcis-30253	89	14	and	and	CCONJ
fcis-30253	89	15	then	then	ADV
fcis-30253	89	16	performs	perform	VERB
fcis-30253	89	17	weighted	weight	VERB
fcis-30253	89	18	summation	summation	NOUN
fcis-30253	89	19	on	on	ADP
fcis-30253	89	20	the	the	DET
fcis-30253	89	21	input	input	NOUN
fcis-30253	89	22	feature	feature	NOUN
fcis-30253	89	23	information	information	NOUN
fcis-30253	89	24	.	.	PUNCT
fcis-30253	90	1	finally	finally	ADV
fcis-30253	90	2	,	,	PUNCT
fcis-30253	90	3	the	the	DET
fcis-30253	90	4	result	result	NOUN
fcis-30253	90	5	enters	enter	VERB
fcis-30253	90	6	the	the	DET
fcis-30253	90	7	fully	fully	ADV
fcis-30253	90	8	connected	connect	VERB
fcis-30253	90	9	layer	layer	NOUN
fcis-30253	90	10	and	and	CCONJ
fcis-30253	90	11	softmax	softmax	NOUN
fcis-30253	90	12	for	for	ADP
fcis-30253	90	13	the	the	DET
fcis-30253	90	14	final	final	ADJ
fcis-30253	90	15	classification	classification	NOUN
fcis-30253	90	16	.	.	PUNCT
fcis-30253	91	1	table	table	NOUN
fcis-30253	91	2	1	1	NUM
fcis-30253	91	3	.	.	PUNCT
fcis-30253	91	4	model	model	NOUN
fcis-30253	91	5	size	size	NOUN
fcis-30253	91	6	of	of	ADP
fcis-30253	91	7	different	different	ADJ
fcis-30253	91	8	convolutional	convolutional	ADJ
fcis-30253	91	9	layers	layer	NOUN
fcis-30253	91	10	.	.	PUNCT
fcis-30253	92	1	complex	complex	ADJ
fcis-30253	92	2	conv_x	conv_x	PROPN
fcis-30253	92	3	model	model	NOUN
fcis-30253	92	4	size	size	NOUN
fcis-30253	92	5	complex	complex	ADJ
fcis-30253	92	6	conv_1	conv_1	NOUN
fcis-30253	92	7	7	7	NUM
fcis-30253	92	8	*	*	SYM
fcis-30253	92	9	1	1	NUM
fcis-30253	92	10	,	,	PUNCT
fcis-30253	92	11	32	32	NUM
fcis-30253	92	12	,	,	PUNCT
fcis-30253	92	13	step	step	NOUN
fcis-30253	92	14	length	length	NOUN
fcis-30253	92	15	2	2	NUM
fcis-30253	92	16	complex	complex	ADJ
fcis-30253	92	17	conv_2	conv_2	NOUN
fcis-30253	92	18	(	(	PUNCT
fcis-30253	92	19	3	3	NUM
fcis-30253	92	20	*	*	SYM
fcis-30253	92	21	1	1	NUM
fcis-30253	92	22	,	,	PUNCT
fcis-30253	92	23	32)*2	32)*2	PROPN
fcis-30253	92	24	complex	complex	NOUN
fcis-30253	92	25	conv_3	conv_3	VERB
fcis-30253	92	26	(	(	PUNCT
fcis-30253	92	27	3	3	NUM
fcis-30253	92	28	*	*	SYM
fcis-30253	92	29	1	1	NUM
fcis-30253	92	30	,	,	PUNCT
fcis-30253	92	31	64)*2	64)*2	NUM
fcis-30253	92	32	complex	complex	ADJ
fcis-30253	92	33	conv_4	conv_4	NOUN
fcis-30253	92	34	(	(	PUNCT
fcis-30253	92	35	3	3	NUM
fcis-30253	92	36	*	*	SYM
fcis-30253	92	37	1	1	NUM
fcis-30253	92	38	,	,	PUNCT
fcis-30253	92	39	128)*2	128)*2	NUM
fcis-30253	92	40	complex	complex	ADJ
fcis-30253	92	41	conv_5	conv_5	NOUN
fcis-30253	92	42	(	(	PUNCT
fcis-30253	92	43	3	3	NUM
fcis-30253	92	44	*	*	SYM
fcis-30253	92	45	1	1	NUM
fcis-30253	92	46	,	,	PUNCT
fcis-30253	92	47	256)*2	256)*2	NUM
fcis-30253	92	48	5	5	NUM
fcis-30253	92	49	.	.	PUNCT
fcis-30253	92	50	simulation	simulation	NOUN
fcis-30253	92	51	results	result	NOUN
fcis-30253	92	52	and	and	CCONJ
fcis-30253	92	53	analysis	analysis	NOUN
fcis-30253	92	54	(	(	PUNCT
fcis-30253	92	55	1	1	X
fcis-30253	92	56	)	)	PUNCT
fcis-30253	92	57	parameter	parameter	NOUN
fcis-30253	92	58	settings	setting	VERB
fcis-30253	92	59	the	the	DET
fcis-30253	92	60	simulation	simulation	NOUN
fcis-30253	92	61	hardware	hardware	NOUN
fcis-30253	92	62	environment	environment	PROPN
fcis-30253	92	63	uses	use	VERB
fcis-30253	92	64	gpu	gpu	PROPN
fcis-30253	92	65	(	(	PUNCT
fcis-30253	92	66	nvidia	nvidia	PROPN
fcis-30253	92	67	rtx	rtx	PROPN
fcis-30253	92	68	3060	3060	NUM
fcis-30253	92	69	)	)	PUNCT
fcis-30253	92	70	,	,	PUNCT
fcis-30253	92	71	and	and	CCONJ
fcis-30253	92	72	the	the	DET
fcis-30253	92	73	software	software	NOUN
fcis-30253	92	74	uses	use	VERB
fcis-30253	92	75	matlab	matlab	PROPN
fcis-30253	92	76	and	and	CCONJ
fcis-30253	92	77	the	the	DET
fcis-30253	92	78	deep	deep	ADJ
fcis-30253	92	79	learning	learning	NOUN
fcis-30253	92	80	framework	framework	NOUN
fcis-30253	92	81	tensorflow	tensorflow	NOUN
fcis-30253	92	82	.	.	PUNCT
fcis-30253	93	1	the	the	DET
fcis-30253	93	2	network	network	PROPN
fcis-30253	93	3	initialization	initialization	PROPN
fcis-30253	93	4	method	method	NOUN
fcis-30253	93	5	uses	use	VERB
fcis-30253	93	6	msra	msra	PROPN
fcis-30253	93	7	initialization	initialization	PROPN
fcis-30253	93	8	,	,	PUNCT
fcis-30253	93	9	the	the	DET
fcis-30253	93	10	loss	loss	NOUN
fcis-30253	93	11	function	function	NOUN
fcis-30253	93	12	is	be	AUX
fcis-30253	93	13	crossentropy	crossentropy	NOUN
fcis-30253	93	14	,	,	PUNCT
fcis-30253	93	15	and	and	CCONJ
fcis-30253	93	16	the	the	DET
fcis-30253	93	17	batch	batch	NOUN
fcis-30253	93	18	size	size	NOUN
fcis-30253	93	19	is	be	AUX
fcis-30253	93	20	16	16	NUM
fcis-30253	93	21	.	.	PUNCT
fcis-30253	94	1	eight	eight	NUM
fcis-30253	94	2	types	type	NOUN
fcis-30253	94	3	of	of	ADP
fcis-30253	94	4	interference	interference	NOUN
fcis-30253	94	5	signals	signal	NOUN
fcis-30253	94	6	are	be	AUX
fcis-30253	94	7	generated	generate	VERB
fcis-30253	94	8	using	use	VERB
fcis-30253	94	9	matlab	matlab	PROPN
fcis-30253	94	10	.	.	PUNCT
fcis-30253	95	1	in	in	ADP
fcis-30253	95	2	the	the	DET
fcis-30253	95	3	simulation	simulation	NOUN
fcis-30253	95	4	,	,	PUNCT
fcis-30253	95	5	the	the	DET
fcis-30253	95	6	sampling	sample	VERB
fcis-30253	95	7	rate	rate	NOUN
fcis-30253	95	8	is	be	AUX
fcis-30253	95	9	set	set	VERB
fcis-30253	95	10	to	to	ADP
fcis-30253	95	11	10	10	NUM
fcis-30253	95	12	mhz	mhz	NOUN
fcis-30253	95	13	,	,	PUNCT
fcis-30253	95	14	and	and	CCONJ
fcis-30253	95	15	gaussian	gaussian	ADJ
fcis-30253	95	16	white	white	ADJ
fcis-30253	95	17	noise	noise	NOUN
fcis-30253	95	18	is	be	AUX
fcis-30253	95	19	added	add	VERB
fcis-30253	95	20	to	to	ADP
fcis-30253	95	21	the	the	DET
fcis-30253	95	22	channel	channel	NOUN
fcis-30253	95	23	.	.	PUNCT
fcis-30253	96	1	the	the	DET
fcis-30253	96	2	dry	dry	ADJ
fcis-30253	96	3	noise	noise	NOUN
fcis-30253	96	4	ratio	ratio	NOUN
fcis-30253	96	5	is	be	AUX
fcis-30253	96	6	defined	define	VERB
fcis-30253	96	7	as	as	ADP
fcis-30253	96	8	the	the	DET
fcis-30253	96	9	ratio	ratio	NOUN
fcis-30253	96	10	of	of	ADP
fcis-30253	96	11	the	the	DET
fcis-30253	96	12	interference	interference	NOUN
fcis-30253	96	13	signal	signal	NOUN
fcis-30253	96	14	strength	strength	NOUN
fcis-30253	96	15	to	to	ADP
fcis-30253	96	16	the	the	DET
fcis-30253	96	17	noise	noise	NOUN
fcis-30253	96	18	intensity	intensity	NOUN
fcis-30253	96	19	within	within	ADP
fcis-30253	96	20	the	the	DET
fcis-30253	96	21	communication	communication	NOUN
fcis-30253	96	22	frequency	frequency	NOUN
fcis-30253	96	23	band	band	NOUN
fcis-30253	96	24	.	.	PUNCT
fcis-30253	97	1	the	the	DET
fcis-30253	97	2	dry	dry	ADJ
fcis-30253	97	3	noise	noise	NOUN
fcis-30253	97	4	ratio	ratio	NOUN
fcis-30253	97	5	range	range	NOUN
fcis-30253	97	6	is	be	AUX
fcis-30253	97	7	set	set	VERB
fcis-30253	97	8	to	to	ADP
fcis-30253	97	9	[	[	X
fcis-30253	97	10	-10:1:15	-10:1:15	X
fcis-30253	97	11	]	]	X
fcis-30253	97	12	db	db	NOUN
fcis-30253	97	13	,	,	PUNCT
fcis-30253	97	14	and	and	CCONJ
fcis-30253	97	15	2500	2500	NUM
fcis-30253	97	16	samples	sample	NOUN
fcis-30253	97	17	of	of	ADP
fcis-30253	97	18	each	each	DET
fcis-30253	97	19	type	type	NOUN
fcis-30253	97	20	of	of	ADP
fcis-30253	97	21	signal	signal	NOUN
fcis-30253	97	22	are	be	AUX
fcis-30253	97	23	randomly	randomly	ADV
fcis-30253	97	24	generated	generate	VERB
fcis-30253	97	25	at	at	ADP
fcis-30253	97	26	each	each	DET
fcis-30253	97	27	dry	dry	ADJ
fcis-30253	97	28	noise	noise	NOUN
fcis-30253	97	29	ratio	ratio	NOUN
fcis-30253	97	30	.	.	PUNCT
fcis-30253	98	1	the	the	DET
fcis-30253	98	2	number	number	NOUN
fcis-30253	98	3	of	of	ADP
fcis-30253	98	4	samples	sample	NOUN
fcis-30253	98	5	in	in	ADP
fcis-30253	98	6	the	the	DET
fcis-30253	98	7	training	training	NOUN
fcis-30253	98	8	set	set	NOUN
fcis-30253	98	9	,	,	PUNCT
fcis-30253	98	10	test	test	NOUN
fcis-30253	98	11	set	set	NOUN
fcis-30253	98	12	,	,	PUNCT
fcis-30253	98	13	and	and	CCONJ
fcis-30253	98	14	validation	validation	NOUN
fcis-30253	98	15	set	set	NOUN
fcis-30253	98	16	is	be	AUX
fcis-30253	98	17	6:2:2	6:2:2	NUM
fcis-30253	98	18	.	.	PUNCT
fcis-30253	99	1	after	after	ADP
fcis-30253	99	2	that	that	PRON
fcis-30253	99	3	,	,	PUNCT
fcis-30253	99	4	the	the	DET
fcis-30253	99	5	experimental	experimental	ADJ
fcis-30253	99	6	parameters	parameter	NOUN
fcis-30253	99	7	remain	remain	VERB
fcis-30253	99	8	the	the	DET
fcis-30253	99	9	same	same	ADJ
fcis-30253	99	10	as	as	ADP
fcis-30253	99	11	this	this	PRON
fcis-30253	99	12	.	.	PUNCT
fcis-30253	100	1	(	(	PUNCT
fcis-30253	100	2	2	2	X
fcis-30253	100	3	)	)	PUNCT
fcis-30253	100	4	analysis	analysis	NOUN
fcis-30253	100	5	of	of	ADP
fcis-30253	100	6	the	the	DET
fcis-30253	100	7	effectiveness	effectiveness	NOUN
fcis-30253	100	8	of	of	ADP
fcis-30253	100	9	the	the	DET
fcis-30253	100	10	network	network	NOUN
fcis-30253	100	11	model	model	NOUN
fcis-30253	100	12	evaluation	evaluation	NOUN
fcis-30253	100	13	indicators	indicator	NOUN
fcis-30253	100	14	:	:	PUNCT
fcis-30253	100	15	accuracy	accuracy	NOUN
fcis-30253	100	16	:	:	PUNCT
fcis-30253	100	17	the	the	DET
fcis-30253	100	18	proportion	proportion	NOUN
fcis-30253	100	19	of	of	ADP
fcis-30253	100	20	the	the	DET
fcis-30253	100	21	total	total	ADJ
fcis-30253	100	22	number	number	NOUN
fcis-30253	100	23	of	of	ADP
fcis-30253	100	24	positive	positive	ADJ
fcis-30253	100	25	and	and	CCONJ
fcis-30253	100	26	negative	negative	ADJ
fcis-30253	100	27	samples	sample	NOUN
fcis-30253	100	28	correctly	correctly	ADV
fcis-30253	100	29	detected	detect	VERB
fcis-30253	100	30	to	to	ADP
fcis-30253	100	31	the	the	DET
fcis-30253	100	32	total	total	ADJ
fcis-30253	100	33	number	number	NOUN
fcis-30253	100	34	of	of	ADP
fcis-30253	100	35	samples	sample	NOUN
fcis-30253	100	36	.	.	PUNCT
fcis-30253	101	1	14	14	NUM
fcis-30253	101	2	true	true	ADJ
fcis-30253	101	3	positive	positive	ADJ
fcis-30253	101	4	(	(	PUNCT
fcis-30253	101	5	tp	tp	NOUN
fcis-30253	101	6	)	)	PUNCT
fcis-30253	101	7	,	,	PUNCT
fcis-30253	101	8	true	true	ADJ
fcis-30253	101	9	negative	negative	ADJ
fcis-30253	101	10	(	(	PUNCT
fcis-30253	101	11	tn	tn	NOUN
fcis-30253	101	12	)	)	PUNCT
fcis-30253	101	13	,	,	PUNCT
fcis-30253	101	14	false	false	ADJ
fcis-30253	101	15	positive	positive	ADJ
fcis-30253	101	16	(	(	PUNCT
fcis-30253	101	17	fp	fp	NOUN
fcis-30253	101	18	)	)	PUNCT
fcis-30253	101	19	,	,	PUNCT
fcis-30253	101	20	false	false	ADJ
fcis-30253	101	21	negative	negative	ADJ
fcis-30253	101	22	(	(	PUNCT
fcis-30253	101	23	fn	fn	NOUN
fcis-30253	101	24	)	)	PUNCT
fcis-30253	101	25	.	.	PUNCT
fcis-30253	102	1	in	in	ADP
fcis-30253	102	2	this	this	DET
fcis-30253	102	3	paper	paper	NOUN
fcis-30253	102	4	,	,	PUNCT
fcis-30253	102	5	when	when	SCONJ
fcis-30253	102	6	studying	study	VERB
fcis-30253	102	7	the	the	DET
fcis-30253	102	8	recognition	recognition	NOUN
fcis-30253	102	9	problem	problem	NOUN
fcis-30253	102	10	of	of	ADP
fcis-30253	102	11	eight	eight	NUM
fcis-30253	102	12	types	type	NOUN
fcis-30253	102	13	of	of	ADP
fcis-30253	102	14	interference	interference	NOUN
fcis-30253	102	15	signals	signal	NOUN
fcis-30253	102	16	,	,	PUNCT
fcis-30253	102	17	the	the	DET
fcis-30253	102	18	accuracy	accuracy	NOUN
fcis-30253	102	19	rate	rate	NOUN
fcis-30253	102	20	is	be	AUX
fcis-30253	102	21	used	use	VERB
fcis-30253	102	22	to	to	PART
fcis-30253	102	23	evaluate	evaluate	VERB
fcis-30253	102	24	the	the	DET
fcis-30253	102	25	recognition	recognition	NOUN
fcis-30253	102	26	effect	effect	NOUN
fcis-30253	102	27	of	of	ADP
fcis-30253	102	28	the	the	DET
fcis-30253	102	29	network	network	NOUN
fcis-30253	102	30	model	model	NOUN
fcis-30253	102	31	on	on	ADP
fcis-30253	102	32	the	the	DET
fcis-30253	102	33	interference	interference	NOUN
fcis-30253	102	34	signals	signal	NOUN
fcis-30253	102	35	.	.	PUNCT
fcis-30253	103	1	precision	precision	NOUN
fcis-30253	103	2	:	:	PUNCT
fcis-30253	103	3	the	the	DET
fcis-30253	103	4	probability	probability	NOUN
fcis-30253	103	5	that	that	SCONJ
fcis-30253	103	6	the	the	DET
fcis-30253	103	7	actually	actually	ADV
fcis-30253	103	8	positive	positive	ADJ
fcis-30253	103	9	samples	sample	NOUN
fcis-30253	103	10	in	in	ADP
fcis-30253	103	11	the	the	DET
fcis-30253	103	12	predicted	predict	VERB
fcis-30253	103	13	correct	correct	ADJ
fcis-30253	103	14	samples	sample	NOUN
fcis-30253	103	15	.	.	PUNCT
fcis-30253	104	1	15	15	NUM
fcis-30253	104	2	recall	recall	NOUN
fcis-30253	104	3	:	:	PUNCT
fcis-30253	104	4	the	the	DET
fcis-30253	104	5	probability	probability	NOUN
fcis-30253	104	6	that	that	SCONJ
fcis-30253	104	7	the	the	DET
fcis-30253	104	8	predicted	predict	VERB
fcis-30253	104	9	positive	positive	ADJ
fcis-30253	104	10	samples	sample	NOUN
fcis-30253	104	11	in	in	ADP
fcis-30253	104	12	the	the	DET
fcis-30253	104	13	actually	actually	ADV
fcis-30253	104	14	positive	positive	ADJ
fcis-30253	104	15	samples	sample	NOUN
fcis-30253	104	16	.	.	PUNCT
fcis-30253	105	1	16	16	NUM
fcis-30253	105	2	in	in	ADP
fcis-30253	105	3	order	order	NOUN
fcis-30253	105	4	to	to	PART
fcis-30253	105	5	verify	verify	VERB
fcis-30253	105	6	the	the	DET
fcis-30253	105	7	importance	importance	NOUN
fcis-30253	105	8	of	of	ADP
fcis-30253	105	9	each	each	DET
fcis-30253	105	10	module	module	NOUN
fcis-30253	105	11	of	of	ADP
fcis-30253	105	12	the	the	DET
fcis-30253	105	13	designed	design	VERB
fcis-30253	105	14	network	network	NOUN
fcis-30253	105	15	,	,	PUNCT
fcis-30253	105	16	three	three	NUM
fcis-30253	105	17	groups	group	NOUN
fcis-30253	105	18	of	of	ADP
fcis-30253	105	19	ablation	ablation	NOUN
fcis-30253	105	20	experiments	experiment	NOUN
fcis-30253	105	21	were	be	AUX
fcis-30253	105	22	carried	carry	VERB
fcis-30253	105	23	out	out	ADP
fcis-30253	105	24	.	.	PUNCT
fcis-30253	106	1	training	training	NOUN
fcis-30253	106	2	and	and	CCONJ
fcis-30253	106	3	testing	testing	NOUN
fcis-30253	106	4	were	be	AUX
fcis-30253	106	5	conducted	conduct	VERB
fcis-30253	106	6	under	under	ADP
fcis-30253	106	7	the	the	DET
fcis-30253	106	8	same	same	ADJ
fcis-30253	106	9	conditions	condition	NOUN
fcis-30253	106	10	.	.	PUNCT
fcis-30253	107	1	the	the	DET
fcis-30253	107	2	overall	overall	ADJ
fcis-30253	107	3	recognition	recognition	NOUN
fcis-30253	107	4	rate	rate	NOUN
fcis-30253	107	5	results	result	NOUN
fcis-30253	107	6	of	of	ADP
fcis-30253	107	7	different	different	ADJ
fcis-30253	107	8	networks	network	NOUN
fcis-30253	107	9	for	for	ADP
fcis-30253	107	10	different	different	ADJ
fcis-30253	107	11	interference	interference	NOUN
fcis-30253	107	12	signals	signal	NOUN
fcis-30253	107	13	in	in	ADP
fcis-30253	107	14	the	the	DET
fcis-30253	107	15	test	test	NOUN
fcis-30253	107	16	set	set	VERB
fcis-30253	107	17	within	within	ADP
fcis-30253	107	18	the	the	DET
fcis-30253	107	19	dry	dry	ADJ
fcis-30253	107	20	noise	noise	NOUN
fcis-30253	107	21	ratio	ratio	NOUN
fcis-30253	107	22	range	range	NOUN
fcis-30253	107	23	of	of	ADP
fcis-30253	107	24	-10	-10	PUNCT
fcis-30253	107	25	db	db	VERB
fcis-30253	107	26	to	to	ADP
fcis-30253	107	27	15	15	NUM
fcis-30253	107	28	db	db	NOUN
fcis-30253	107	29	are	be	AUX
fcis-30253	107	30	shown	show	VERB
fcis-30253	107	31	in	in	ADP
fcis-30253	107	32	table	table	NOUN
fcis-30253	107	33	2	2	NUM
fcis-30253	107	34	.	.	PUNCT
fcis-30253	107	35	table	table	NOUN
fcis-30253	107	36	2	2	NUM
fcis-30253	107	37	.	.	PUNCT
fcis-30253	107	38	ablation	ablation	NOUN
fcis-30253	107	39	experiment	experiment	NOUN
fcis-30253	107	40	based	base	VERB
fcis-30253	107	41	on	on	ADP
fcis-30253	107	42	cv	cv	PROPN
fcis-30253	107	43	-	-	PUNCT
fcis-30253	107	44	r	r	NOUN
fcis-30253	107	45	-	-	PUNCT
fcis-30253	107	46	bilstm	bilstm	NOUN
fcis-30253	107	47	-	-	PUNCT
fcis-30253	107	48	a	a	DET
fcis-30253	107	49	interference	interference	NOUN
fcis-30253	107	50	cv	cv	NOUN
fcis-30253	107	51	-	-	PUNCT
fcis-30253	107	52	resnet	resnet	ADJ
fcis-30253	107	53	cv	cv	PROPN
fcis-30253	107	54	-	-	PUNCT
fcis-30253	107	55	r	r	NOUN
fcis-30253	107	56	-	-	PUNCT
fcis-30253	107	57	bilstm	bilstm	NOUN
fcis-30253	107	58	-	-	PUNCT
fcis-30253	107	59	a	a	DET
fcis-30253	107	60	single	single	ADJ
fcis-30253	107	61	-	-	PUNCT
fcis-30253	107	62	tone	tone	NOUN
fcis-30253	107	63	80.2	80.2	NUM
fcis-30253	107	64	90.2	90.2	NUM
fcis-30253	107	65	multi	multi	NOUN
fcis-30253	107	66	-	-	NOUN
fcis-30253	107	67	tone	tone	NOUN
fcis-30253	107	68	80.1	80.1	NUM
fcis-30253	107	69	91.0	91.0	NUM
fcis-30253	107	70	linear	linear	NOUN
fcis-30253	107	71	sweep	sweep	NOUN
fcis-30253	107	72	frequency	frequency	NOUN
fcis-30253	107	73	84.8	84.8	NUM
fcis-30253	107	74	96.9	96.9	NUM
fcis-30253	107	75	noise	noise	NOUN
fcis-30253	107	76	frequency	frequency	NOUN
fcis-30253	107	77	modulation	modulation	NOUN
fcis-30253	107	78	70.4	70.4	NUM
fcis-30253	107	79	83.5	83.5	NUM
fcis-30253	107	80	noise	noise	NOUN
fcis-30253	107	81	amplitude	amplitude	NOUN
fcis-30253	107	82	modulation	modulation	NOUN
fcis-30253	107	83	74.4	74.4	NUM
fcis-30253	107	84	84.0	84.0	NUM
fcis-30253	107	85	partial	partial	ADJ
fcis-30253	107	86	-	-	PUNCT
fcis-30253	107	87	band	band	NOUN
fcis-30253	107	88	noise	noise	NOUN
fcis-30253	107	89	72.4	72.4	NUM
fcis-30253	107	90	81.0	81.0	NUM
fcis-30253	107	91	chirp	chirp	ADJ
fcis-30253	107	92	frequency	frequency	NOUN
fcis-30253	107	93	modulation	modulation	NOUN
fcis-30253	107	94	74.1	74.1	NUM
fcis-30253	107	95	86.9	86.9	NUM
fcis-30253	107	96	sawtooth	sawtooth	NOUN
fcis-30253	107	97	wave	wave	NOUN
fcis-30253	107	98	frequency	frequency	NOUN
fcis-30253	107	99	modulation	modulation	NOUN
fcis-30253	107	100	80.7	80.7	NUM
fcis-30253	107	101	92.3	92.3	NUM
fcis-30253	107	102	it	it	PRON
fcis-30253	107	103	can	can	AUX
fcis-30253	107	104	be	be	AUX
fcis-30253	107	105	seen	see	VERB
fcis-30253	107	106	from	from	ADP
fcis-30253	107	107	the	the	DET
fcis-30253	107	108	above	above	ADJ
fcis-30253	107	109	table	table	NOUN
fcis-30253	107	110	that	that	SCONJ
fcis-30253	107	111	the	the	DET
fcis-30253	107	112	network	network	NOUN
fcis-30253	107	113	with	with	ADP
fcis-30253	107	114	the	the	DET
fcis-30253	107	115	highest	high	ADJ
fcis-30253	107	116	recognition	recognition	NOUN
fcis-30253	107	117	rate	rate	NOUN
fcis-30253	107	118	for	for	ADP
fcis-30253	107	119	the	the	DET
fcis-30253	107	120	eight	eight	NUM
fcis-30253	107	121	types	type	NOUN
fcis-30253	107	122	of	of	ADP
fcis-30253	107	123	interference	interference	NOUN
fcis-30253	107	124	signals	signal	NOUN
fcis-30253	107	125	is	be	AUX
fcis-30253	107	126	the	the	DET
fcis-30253	107	127	cv	cv	PROPN
fcis-30253	107	128	-	-	PUNCT
fcis-30253	107	129	r	r	NOUN
fcis-30253	107	130	-	-	PUNCT
fcis-30253	107	131	bilstm	bilstm	NOUN
fcis-30253	107	132	-	-	PUNCT
fcis-30253	107	133	a	a	DET
fcis-30253	107	134	network	network	NOUN
fcis-30253	107	135	.	.	PUNCT
fcis-30253	108	1	overall	overall	ADJ
fcis-30253	108	2	,	,	PUNCT
fcis-30253	108	3	using	use	VERB
fcis-30253	108	4	the	the	DET
fcis-30253	108	5	cv	cv	PROPN
fcis-30253	108	6	-	-	PUNCT
fcis-30253	108	7	r	r	NOUN
fcis-30253	108	8	-	-	PUNCT
fcis-30253	108	9	bilstm	bilstm	NOUN
fcis-30253	108	10	-	-	PUNCT
fcis-30253	108	11	a	a	DET
fcis-30253	108	12	network	network	NOUN
fcis-30253	108	13	has	have	AUX
fcis-30253	108	14	improved	improve	VERB
fcis-30253	108	15	the	the	DET
fcis-30253	108	16	overall	overall	ADJ
fcis-30253	108	17	recognition	recognition	NOUN
fcis-30253	108	18	rate	rate	NOUN
fcis-30253	108	19	by	by	ADP
fcis-30253	108	20	about	about	ADV
fcis-30253	108	21	10	10	NUM
fcis-30253	108	22	%	%	NOUN
fcis-30253	108	23	compared	compare	VERB
fcis-30253	108	24	to	to	ADP
fcis-30253	108	25	the	the	DET
fcis-30253	108	26	cv	cv	PROPN
fcis-30253	108	27	-	-	PUNCT
fcis-30253	108	28	resnet	resnet	ADJ
fcis-30253	108	29	network	network	NOUN
fcis-30253	108	30	.	.	PUNCT
fcis-30253	109	1	(	(	PUNCT
fcis-30253	109	2	3	3	X
fcis-30253	109	3	)	)	PUNCT
fcis-30253	109	4	simulation	simulation	NOUN
fcis-30253	109	5	effect	effect	NOUN
fcis-30253	109	6	analysis	analysis	NOUN
fcis-30253	109	7	and	and	CCONJ
fcis-30253	109	8	comparison	comparison	NOUN
fcis-30253	109	9	after	after	SCONJ
fcis-30253	109	10	the	the	DET
fcis-30253	109	11	cv	cv	PROPN
fcis-30253	109	12	-	-	PUNCT
fcis-30253	109	13	r	r	NOUN
fcis-30253	109	14	-	-	PUNCT
fcis-30253	109	15	bilstm	bilstm	NOUN
fcis-30253	109	16	-	-	PUNCT
fcis-30253	109	17	a	a	DET
fcis-30253	109	18	interference	interference	NOUN
fcis-30253	109	19	recognition	recognition	NOUN
fcis-30253	109	20	network	network	NOUN
fcis-30253	109	21	is	be	AUX
fcis-30253	109	22	trained	train	VERB
fcis-30253	109	23	,	,	PUNCT
fcis-30253	109	24	the	the	DET
fcis-30253	109	25	test	test	NOUN
fcis-30253	109	26	is	be	AUX
fcis-30253	109	27	carried	carry	VERB
fcis-30253	109	28	out	out	ADP
fcis-30253	109	29	in	in	ADP
fcis-30253	109	30	the	the	DET
fcis-30253	109	31	test	test	NOUN
fcis-30253	109	32	set	set	NOUN
fcis-30253	109	33	.	.	PUNCT
fcis-30253	110	1	the	the	DET
fcis-30253	110	2	following	follow	VERB
fcis-30253	110	3	fig	fig	NOUN
fcis-30253	110	4	6	6	NUM
fcis-30253	110	5	is	be	AUX
fcis-30253	110	6	the	the	DET
fcis-30253	110	7	confusion	confusion	NOUN
fcis-30253	110	8	matrix	matrix	NOUN
fcis-30253	110	9	of	of	ADP
fcis-30253	110	10	the	the	DET
fcis-30253	110	11	cv	cv	PROPN
fcis-30253	110	12	-	-	PUNCT
fcis-30253	110	13	rbilstm	rbilstm	NOUN
fcis-30253	110	14	-	-	PUNCT
fcis-30253	110	15	a	a	DET
fcis-30253	110	16	network	network	NOUN
fcis-30253	110	17	under	under	ADP
fcis-30253	110	18	the	the	DET
fcis-30253	110	19	dry	dry	ADJ
fcis-30253	110	20	noise	noise	NOUN
fcis-30253	110	21	ratio	ratio	NOUN
fcis-30253	110	22	of	of	ADP
fcis-30253	110	23	-5	-5	INTJ
fcis-30253	110	24	db	db	PROPN
fcis-30253	110	25	.	.	PUNCT
fcis-30253	111	1	the	the	DET
fcis-30253	111	2	horizontal	horizontal	ADJ
fcis-30253	111	3	axis	axis	NOUN
fcis-30253	111	4	represents	represent	VERB
fcis-30253	111	5	the	the	DET
fcis-30253	111	6	label	label	NOUN
fcis-30253	111	7	of	of	ADP
fcis-30253	111	8	the	the	DET
fcis-30253	111	9	predicted	predict	VERB
fcis-30253	111	10	value	value	NOUN
fcis-30253	111	11	,	,	PUNCT
fcis-30253	111	12	and	and	CCONJ
fcis-30253	111	13	the	the	DET
fcis-30253	111	14	vertical	vertical	ADJ
fcis-30253	111	15	axis	axis	NOUN
fcis-30253	111	16	represents	represent	VERB
fcis-30253	111	17	the	the	DET
fcis-30253	111	18	label	label	NOUN
fcis-30253	111	19	of	of	ADP
fcis-30253	111	20	the	the	DET
fcis-30253	111	21	true	true	ADJ
fcis-30253	111	22	value	value	NOUN
fcis-30253	111	23	.	.	PUNCT
fcis-30253	112	1	figure	figure	NOUN
fcis-30253	112	2	6	6	NUM
fcis-30253	112	3	.	.	PUNCT
fcis-30253	113	1	the	the	DET
fcis-30253	113	2	confusion	confusion	NOUN
fcis-30253	113	3	matrix	matrix	NOUN
fcis-30253	113	4	of	of	ADP
fcis-30253	113	5	cv	cv	PROPN
fcis-30253	113	6	-	-	PUNCT
fcis-30253	113	7	r	r	NOUN
fcis-30253	113	8	-	-	PUNCT
fcis-30253	113	9	bilstm	bilstm	NOUN
fcis-30253	113	10	-	-	PUNCT
fcis-30253	113	11	a	a	DET
fcis-30253	113	12	network	network	NOUN
fcis-30253	113	13	recognition	recognition	NOUN
fcis-30253	113	14	under	under	ADP
fcis-30253	113	15	the	the	DET
fcis-30253	113	16	dry	dry	ADJ
fcis-30253	113	17	noise	noise	NOUN
fcis-30253	113	18	ratio	ratio	NOUN
fcis-30253	113	19	of	of	ADP
fcis-30253	113	20	-5	-5	INTJ
fcis-30253	113	21	db	db	PROPN
fcis-30253	113	22	fig	fig	NOUN
fcis-30253	113	23	7	7	NUM
fcis-30253	113	24	is	be	AUX
fcis-30253	113	25	the	the	DET
fcis-30253	113	26	confusion	confusion	NOUN
fcis-30253	113	27	matrix	matrix	NOUN
fcis-30253	113	28	of	of	ADP
fcis-30253	113	29	the	the	DET
fcis-30253	113	30	cv	cv	PROPN
fcis-30253	113	31	-	-	PUNCT
fcis-30253	113	32	r	r	NOUN
fcis-30253	113	33	-	-	PUNCT
fcis-30253	113	34	bilstm	bilstm	NOUN
fcis-30253	113	35	-	-	PUNCT
fcis-30253	113	36	a	a	DET
fcis-30253	113	37	153	153	NUM
fcis-30253	113	38	network	network	NOUN
fcis-30253	113	39	at	at	ADP
fcis-30253	113	40	10	10	NUM
fcis-30253	113	41	db	db	NOUN
fcis-30253	113	42	respectively	respectively	ADV
fcis-30253	113	43	.	.	PUNCT
fcis-30253	114	1	figure	figure	VERB
fcis-30253	114	2	7	7	NUM
fcis-30253	114	3	.	.	PUNCT
fcis-30253	115	1	the	the	DET
fcis-30253	115	2	confusion	confusion	NOUN
fcis-30253	115	3	matrix	matrix	NOUN
fcis-30253	115	4	of	of	ADP
fcis-30253	115	5	cv	cv	PROPN
fcis-30253	115	6	-	-	PUNCT
fcis-30253	115	7	r	r	NOUN
fcis-30253	115	8	-	-	PUNCT
fcis-30253	115	9	bilstm	bilstm	NOUN
fcis-30253	115	10	-	-	PUNCT
fcis-30253	115	11	a	a	DET
fcis-30253	115	12	network	network	NOUN
fcis-30253	115	13	recognition	recognition	NOUN
fcis-30253	115	14	under	under	ADP
fcis-30253	115	15	the	the	DET
fcis-30253	115	16	dry	dry	ADJ
fcis-30253	115	17	noise	noise	NOUN
fcis-30253	115	18	ratio	ratio	NOUN
fcis-30253	115	19	of	of	ADP
fcis-30253	115	20	10	10	NUM
fcis-30253	115	21	db	db	NOUN
fcis-30253	115	22	it	it	PRON
fcis-30253	115	23	can	can	AUX
fcis-30253	115	24	be	be	AUX
fcis-30253	115	25	seen	see	VERB
fcis-30253	115	26	from	from	ADP
fcis-30253	115	27	the	the	DET
fcis-30253	115	28	two	two	NUM
fcis-30253	115	29	confusion	confusion	NOUN
fcis-30253	115	30	matrices	matrix	NOUN
fcis-30253	115	31	that	that	PRON
fcis-30253	115	32	under	under	ADP
fcis-30253	115	33	a	a	DET
fcis-30253	115	34	low	low	ADJ
fcis-30253	115	35	dry	dry	ADJ
fcis-30253	115	36	noise	noise	NOUN
fcis-30253	115	37	ratio	ratio	NOUN
fcis-30253	115	38	,	,	PUNCT
fcis-30253	115	39	the	the	DET
fcis-30253	115	40	types	type	NOUN
fcis-30253	115	41	with	with	ADP
fcis-30253	115	42	a	a	DET
fcis-30253	115	43	poorer	poor	ADJ
fcis-30253	115	44	recognition	recognition	NOUN
fcis-30253	115	45	effect	effect	NOUN
fcis-30253	115	46	using	use	VERB
fcis-30253	115	47	the	the	DET
fcis-30253	115	48	cv	cv	PROPN
fcis-30253	115	49	-	-	PUNCT
fcis-30253	115	50	r	r	NOUN
fcis-30253	115	51	-	-	PUNCT
fcis-30253	115	52	bilstm	bilstm	NOUN
fcis-30253	115	53	-	-	PUNCT
fcis-30253	115	54	a	a	DET
fcis-30253	115	55	network	network	NOUN
fcis-30253	115	56	are	be	AUX
fcis-30253	115	57	the	the	DET
fcis-30253	115	58	three	three	NUM
fcis-30253	115	59	interference	interference	NOUN
fcis-30253	115	60	signals	signal	NOUN
fcis-30253	115	61	of	of	ADP
fcis-30253	115	62	noise	noise	NOUN
fcis-30253	115	63	frequency	frequency	NOUN
fcis-30253	115	64	modulation	modulation	NOUN
fcis-30253	115	65	,	,	PUNCT
fcis-30253	115	66	noise	noise	NOUN
fcis-30253	115	67	amplitude	amplitude	NOUN
fcis-30253	115	68	modulation	modulation	NOUN
fcis-30253	115	69	,	,	PUNCT
fcis-30253	115	70	and	and	CCONJ
fcis-30253	115	71	partial	partial	ADJ
fcis-30253	115	72	noise	noise	NOUN
fcis-30253	115	73	,	,	PUNCT
fcis-30253	115	74	with	with	ADP
fcis-30253	115	75	a	a	DET
fcis-30253	115	76	recognition	recognition	NOUN
fcis-30253	115	77	rate	rate	NOUN
fcis-30253	115	78	of	of	ADP
fcis-30253	115	79	about	about	ADV
fcis-30253	115	80	70	70	NUM
fcis-30253	115	81	%	%	NOUN
fcis-30253	115	82	.	.	PUNCT
fcis-30253	116	1	compared	compare	VERB
fcis-30253	116	2	with	with	ADP
fcis-30253	116	3	the	the	DET
fcis-30253	116	4	other	other	ADJ
fcis-30253	116	5	several	several	ADJ
fcis-30253	116	6	types	type	NOUN
fcis-30253	116	7	of	of	ADP
fcis-30253	116	8	interference	interference	NOUN
fcis-30253	116	9	signals	signal	NOUN
fcis-30253	116	10	,	,	PUNCT
fcis-30253	116	11	the	the	DET
fcis-30253	116	12	lowest	low	ADJ
fcis-30253	116	13	recognition	recognition	NOUN
fcis-30253	116	14	accuracy	accuracy	NOUN
fcis-30253	116	15	at	at	ADP
fcis-30253	116	16	this	this	DET
fcis-30253	116	17	time	time	NOUN
fcis-30253	116	18	can	can	AUX
fcis-30253	116	19	reach	reach	VERB
fcis-30253	116	20	about	about	ADV
fcis-30253	116	21	84	84	NUM
fcis-30253	116	22	%	%	NOUN
fcis-30253	116	23	.	.	PUNCT
fcis-30253	117	1	due	due	ADP
fcis-30253	117	2	to	to	ADP
fcis-30253	117	3	the	the	DET
fcis-30253	117	4	fact	fact	NOUN
fcis-30253	117	5	that	that	SCONJ
fcis-30253	117	6	the	the	DET
fcis-30253	117	7	characteristics	characteristic	NOUN
fcis-30253	117	8	of	of	ADP
fcis-30253	117	9	noise	noise	NOUN
fcis-30253	117	10	are	be	AUX
fcis-30253	117	11	not	not	PART
fcis-30253	117	12	obvious	obvious	ADJ
fcis-30253	117	13	under	under	ADP
fcis-30253	117	14	a	a	DET
fcis-30253	117	15	low	low	ADJ
fcis-30253	117	16	dry	dry	ADJ
fcis-30253	117	17	noise	noise	NOUN
fcis-30253	117	18	ratio	ratio	NOUN
fcis-30253	117	19	,	,	PUNCT
fcis-30253	117	20	it	it	PRON
fcis-30253	117	21	can	can	AUX
fcis-30253	117	22	be	be	AUX
fcis-30253	117	23	seen	see	VERB
fcis-30253	117	24	from	from	ADP
fcis-30253	117	25	the	the	DET
fcis-30253	117	26	confusion	confusion	NOUN
fcis-30253	117	27	matrix	matrix	NOUN
fcis-30253	117	28	that	that	PRON
fcis-30253	117	29	the	the	DET
fcis-30253	117	30	three	three	NUM
fcis-30253	117	31	types	type	NOUN
fcis-30253	117	32	of	of	ADP
fcis-30253	117	33	interference	interference	NOUN
fcis-30253	117	34	signals	signal	NOUN
fcis-30253	117	35	are	be	AUX
fcis-30253	117	36	misjudged	misjudge	VERB
fcis-30253	117	37	evenly	evenly	ADV
fcis-30253	117	38	,	,	PUNCT
fcis-30253	117	39	and	and	CCONJ
fcis-30253	117	40	the	the	DET
fcis-30253	117	41	misjudgments	misjudgment	NOUN
fcis-30253	117	42	are	be	AUX
fcis-30253	117	43	not	not	PART
fcis-30253	117	44	concentrated	concentrate	VERB
fcis-30253	117	45	on	on	ADP
fcis-30253	117	46	a	a	DET
fcis-30253	117	47	certain	certain	ADJ
fcis-30253	117	48	type	type	NOUN
fcis-30253	117	49	of	of	ADP
fcis-30253	117	50	interference	interference	NOUN
fcis-30253	117	51	signal	signal	NOUN
fcis-30253	117	52	.	.	PUNCT
fcis-30253	118	1	however	however	ADV
fcis-30253	118	2	,	,	PUNCT
fcis-30253	118	3	compared	compare	VERB
fcis-30253	118	4	with	with	ADP
fcis-30253	118	5	the	the	DET
fcis-30253	118	6	case	case	NOUN
fcis-30253	118	7	where	where	SCONJ
fcis-30253	118	8	the	the	DET
fcis-30253	118	9	dry	dry	ADJ
fcis-30253	118	10	noise	noise	NOUN
fcis-30253	118	11	ratio	ratio	NOUN
fcis-30253	118	12	is	be	AUX
fcis-30253	118	13	10	10	NUM
fcis-30253	118	14	db	db	PROPN
fcis-30253	118	15	,	,	PUNCT
fcis-30253	118	16	it	it	PRON
fcis-30253	118	17	can	can	AUX
fcis-30253	118	18	be	be	AUX
fcis-30253	118	19	found	find	VERB
fcis-30253	118	20	that	that	SCONJ
fcis-30253	118	21	as	as	SCONJ
fcis-30253	118	22	the	the	DET
fcis-30253	118	23	interference	interference	NOUN
fcis-30253	118	24	increases	increase	VERB
fcis-30253	118	25	,	,	PUNCT
fcis-30253	118	26	the	the	DET
fcis-30253	118	27	network	network	NOUN
fcis-30253	118	28	recognition	recognition	NOUN
fcis-30253	118	29	accuracy	accuracy	NOUN
fcis-30253	118	30	has	have	AUX
fcis-30253	118	31	been	be	AUX
fcis-30253	118	32	improved	improve	VERB
fcis-30253	118	33	,	,	PUNCT
fcis-30253	118	34	especially	especially	ADV
fcis-30253	118	35	the	the	DET
fcis-30253	118	36	recognition	recognition	NOUN
fcis-30253	118	37	rates	rate	NOUN
fcis-30253	118	38	of	of	ADP
fcis-30253	118	39	the	the	DET
fcis-30253	118	40	three	three	NUM
fcis-30253	118	41	signals	signal	NOUN
fcis-30253	118	42	of	of	ADP
fcis-30253	118	43	noise	noise	NOUN
fcis-30253	118	44	frequency	frequency	NOUN
fcis-30253	118	45	modulation	modulation	NOUN
fcis-30253	118	46	,	,	PUNCT
fcis-30253	118	47	noise	noise	NOUN
fcis-30253	118	48	amplitude	amplitude	NOUN
fcis-30253	118	49	modulation	modulation	NOUN
fcis-30253	118	50	,	,	PUNCT
fcis-30253	118	51	and	and	CCONJ
fcis-30253	118	52	partial	partial	ADJ
fcis-30253	118	53	noise	noise	NOUN
fcis-30253	118	54	have	have	AUX
fcis-30253	118	55	all	all	PRON
fcis-30253	118	56	reached	reach	VERB
fcis-30253	118	57	more	more	ADJ
fcis-30253	118	58	than	than	ADP
fcis-30253	118	59	95	95	NUM
fcis-30253	118	60	%	%	NOUN
fcis-30253	118	61	.	.	PUNCT
fcis-30253	119	1	the	the	DET
fcis-30253	119	2	correct	correct	ADJ
fcis-30253	119	3	rate	rate	NOUN
fcis-30253	119	4	curve	curve	NOUN
fcis-30253	119	5	of	of	ADP
fcis-30253	119	6	the	the	DET
fcis-30253	119	7	recognition	recognition	NOUN
fcis-30253	119	8	rate	rate	NOUN
fcis-30253	119	9	of	of	ADP
fcis-30253	119	10	various	various	ADJ
fcis-30253	119	11	interference	interference	NOUN
fcis-30253	119	12	signals	signal	NOUN
fcis-30253	119	13	under	under	ADP
fcis-30253	119	14	different	different	ADJ
fcis-30253	119	15	dry	dry	ADJ
fcis-30253	119	16	noise	noise	NOUN
fcis-30253	119	17	ratios	ratio	NOUN
fcis-30253	119	18	of	of	ADP
fcis-30253	119	19	the	the	DET
fcis-30253	119	20	cvr	cvr	NOUN
fcis-30253	119	21	-	-	PUNCT
fcis-30253	119	22	bilstm	bilstm	NOUN
fcis-30253	119	23	-	-	PUNCT
fcis-30253	119	24	a	a	DET
fcis-30253	119	25	network	network	NOUN
fcis-30253	119	26	is	be	AUX
fcis-30253	119	27	shown	show	VERB
fcis-30253	119	28	in	in	ADP
fcis-30253	119	29	fig	fig	NOUN
fcis-30253	119	30	8	8	NUM
fcis-30253	119	31	.	.	PUNCT
fcis-30253	120	1	figure	figure	NOUN
fcis-30253	120	2	8	8	NUM
fcis-30253	120	3	.	.	PUNCT
fcis-30253	121	1	the	the	DET
fcis-30253	121	2	interference	interference	NOUN
fcis-30253	121	3	recognition	recognition	NOUN
fcis-30253	121	4	performance	performance	NOUN
fcis-30253	121	5	based	base	VERB
fcis-30253	121	6	on	on	ADP
fcis-30253	121	7	the	the	DET
fcis-30253	121	8	cv	cv	PROPN
fcis-30253	121	9	-	-	PUNCT
fcis-30253	121	10	r	r	NOUN
fcis-30253	121	11	-	-	PUNCT
fcis-30253	121	12	bilstm	bilstm	NOUN
fcis-30253	121	13	-	-	PUNCT
fcis-30253	121	14	a	a	DET
fcis-30253	121	15	network	network	NOUN
fcis-30253	121	16	it	it	PRON
fcis-30253	121	17	can	can	AUX
fcis-30253	121	18	be	be	AUX
fcis-30253	121	19	seen	see	VERB
fcis-30253	121	20	from	from	ADP
fcis-30253	121	21	the	the	DET
fcis-30253	121	22	graph	graph	NOUN
fcis-30253	121	23	that	that	PRON
fcis-30253	121	24	for	for	ADP
fcis-30253	121	25	each	each	DET
fcis-30253	121	26	type	type	NOUN
fcis-30253	121	27	of	of	ADP
fcis-30253	121	28	interference	interference	NOUN
fcis-30253	121	29	signal	signal	NOUN
fcis-30253	121	30	,	,	PUNCT
fcis-30253	121	31	the	the	DET
fcis-30253	121	32	recognition	recognition	NOUN
fcis-30253	121	33	accuracy	accuracy	NOUN
fcis-30253	121	34	increases	increase	VERB
fcis-30253	121	35	with	with	ADP
fcis-30253	121	36	the	the	DET
fcis-30253	121	37	increase	increase	NOUN
fcis-30253	121	38	of	of	ADP
fcis-30253	121	39	the	the	DET
fcis-30253	121	40	dry	dry	ADJ
fcis-30253	121	41	noise	noise	NOUN
fcis-30253	121	42	ratio	ratio	NOUN
fcis-30253	121	43	,	,	PUNCT
fcis-30253	121	44	and	and	CCONJ
fcis-30253	121	45	the	the	DET
fcis-30253	121	46	network	network	NOUN
fcis-30253	121	47	recognition	recognition	NOUN
fcis-30253	121	48	accuracy	accuracy	NOUN
fcis-30253	121	49	tends	tend	VERB
fcis-30253	121	50	to	to	PART
fcis-30253	121	51	be	be	AUX
fcis-30253	121	52	stable	stable	ADJ
fcis-30253	121	53	after	after	SCONJ
fcis-30253	121	54	the	the	DET
fcis-30253	121	55	dry	dry	ADJ
fcis-30253	121	56	noise	noise	NOUN
fcis-30253	121	57	ratio	ratio	NOUN
fcis-30253	121	58	is	be	AUX
fcis-30253	121	59	greater	great	ADJ
fcis-30253	121	60	than	than	ADP
fcis-30253	121	61	8	8	NUM
fcis-30253	121	62	db	db	NOUN
fcis-30253	121	63	.	.	PUNCT
fcis-30253	122	1	it	it	PRON
fcis-30253	122	2	can	can	AUX
fcis-30253	122	3	be	be	AUX
fcis-30253	122	4	intuitively	intuitively	ADV
fcis-30253	122	5	seen	see	VERB
fcis-30253	122	6	from	from	ADP
fcis-30253	122	7	the	the	DET
fcis-30253	122	8	graph	graph	NOUN
fcis-30253	122	9	that	that	PRON
fcis-30253	122	10	the	the	DET
fcis-30253	122	11	recognition	recognition	NOUN
fcis-30253	122	12	accuracy	accuracy	NOUN
fcis-30253	122	13	of	of	ADP
fcis-30253	122	14	the	the	DET
fcis-30253	122	15	network	network	NOUN
fcis-30253	122	16	for	for	ADP
fcis-30253	122	17	noise	noise	NOUN
fcis-30253	122	18	frequency	frequency	NOUN
fcis-30253	122	19	modulation	modulation	NOUN
fcis-30253	122	20	,	,	PUNCT
fcis-30253	122	21	noise	noise	NOUN
fcis-30253	122	22	amplitude	amplitude	NOUN
fcis-30253	122	23	modulation	modulation	NOUN
fcis-30253	122	24	,	,	PUNCT
fcis-30253	122	25	and	and	CCONJ
fcis-30253	122	26	partial	partial	ADJ
fcis-30253	122	27	noise	noise	NOUN
fcis-30253	122	28	is	be	AUX
fcis-30253	122	29	relatively	relatively	ADV
fcis-30253	122	30	low	low	ADJ
fcis-30253	122	31	when	when	SCONJ
fcis-30253	122	32	the	the	DET
fcis-30253	122	33	dry	dry	ADJ
fcis-30253	122	34	noise	noise	NOUN
fcis-30253	122	35	ratio	ratio	NOUN
fcis-30253	122	36	is	be	AUX
fcis-30253	122	37	less	less	ADJ
fcis-30253	122	38	than	than	ADP
fcis-30253	122	39	0	0	NUM
fcis-30253	122	40	db	db	PROPN
fcis-30253	122	41	;	;	PUNCT
fcis-30253	122	42	the	the	DET
fcis-30253	122	43	recognition	recognition	NOUN
fcis-30253	122	44	effect	effect	NOUN
fcis-30253	122	45	of	of	ADP
fcis-30253	122	46	the	the	DET
fcis-30253	122	47	network	network	NOUN
fcis-30253	122	48	on	on	ADP
fcis-30253	122	49	linear	linear	ADJ
fcis-30253	122	50	sweep	sweep	NOUN
fcis-30253	122	51	frequency	frequency	NOUN
fcis-30253	122	52	interference	interference	NOUN
fcis-30253	122	53	is	be	AUX
fcis-30253	122	54	the	the	DET
fcis-30253	122	55	best	good	ADJ
fcis-30253	122	56	,	,	PUNCT
fcis-30253	122	57	and	and	CCONJ
fcis-30253	122	58	the	the	DET
fcis-30253	122	59	accuracy	accuracy	NOUN
fcis-30253	122	60	can	can	AUX
fcis-30253	122	61	reach	reach	VERB
fcis-30253	122	62	more	more	ADJ
fcis-30253	122	63	than	than	ADP
fcis-30253	122	64	90	90	NUM
fcis-30253	122	65	%	%	NOUN
fcis-30253	122	66	at	at	ADP
fcis-30253	122	67	-5	-5	INTJ
fcis-30253	122	68	db	db	NOUN
fcis-30253	122	69	.	.	NOUN
fcis-30253	123	1	in	in	ADP
fcis-30253	123	2	addition	addition	NOUN
fcis-30253	123	3	,	,	PUNCT
fcis-30253	123	4	the	the	DET
fcis-30253	123	5	network	network	NOUN
fcis-30253	123	6	designed	design	VERB
fcis-30253	123	7	in	in	ADP
fcis-30253	123	8	this	this	DET
fcis-30253	123	9	chapter	chapter	NOUN
fcis-30253	123	10	is	be	AUX
fcis-30253	123	11	compared	compare	VERB
fcis-30253	123	12	with	with	ADP
fcis-30253	123	13	the	the	DET
fcis-30253	123	14	existing	exist	VERB
fcis-30253	123	15	networks	network	NOUN
fcis-30253	123	16	in	in	ADP
fcis-30253	123	17	terms	term	NOUN
fcis-30253	123	18	of	of	ADP
fcis-30253	123	19	network	network	NOUN
fcis-30253	123	20	performance	performance	NOUN
fcis-30253	123	21	.	.	PUNCT
fcis-30253	124	1	the	the	DET
fcis-30253	124	2	selected	select	VERB
fcis-30253	124	3	network	network	NOUN
fcis-30253	124	4	models	model	NOUN
fcis-30253	124	5	have	have	AUX
fcis-30253	124	6	been	be	AUX
fcis-30253	124	7	proven	prove	VERB
fcis-30253	124	8	to	to	PART
fcis-30253	124	9	be	be	AUX
fcis-30253	124	10	effective	effective	ADJ
fcis-30253	124	11	through	through	ADP
fcis-30253	124	12	a	a	DET
fcis-30253	124	13	large	large	ADJ
fcis-30253	124	14	number	number	NOUN
fcis-30253	124	15	of	of	ADP
fcis-30253	124	16	experiments	experiment	NOUN
fcis-30253	124	17	.	.	PUNCT
fcis-30253	125	1	six	six	NUM
fcis-30253	125	2	networks	network	NOUN
fcis-30253	125	3	are	be	AUX
fcis-30253	125	4	built	build	VERB
fcis-30253	125	5	for	for	ADP
fcis-30253	125	6	testing	testing	NOUN
fcis-30253	125	7	under	under	ADP
fcis-30253	125	8	the	the	DET
fcis-30253	125	9	same	same	ADJ
fcis-30253	125	10	simulation	simulation	NOUN
fcis-30253	125	11	parameter	parameter	PROPN
fcis-30253	125	12	design	design	PROPN
fcis-30253	125	13	.	.	PUNCT
fcis-30253	126	1	table	table	NOUN
fcis-30253	126	2	3	3	NUM
fcis-30253	126	3	gives	give	VERB
fcis-30253	126	4	the	the	DET
fcis-30253	126	5	accuracy	accuracy	NOUN
fcis-30253	126	6	of	of	ADP
fcis-30253	126	7	several	several	ADJ
fcis-30253	126	8	networks	network	NOUN
fcis-30253	126	9	in	in	ADP
fcis-30253	126	10	recognizing	recognize	VERB
fcis-30253	126	11	interference	interference	NOUN
fcis-30253	126	12	signals	signal	NOUN
fcis-30253	126	13	.	.	PUNCT
fcis-30253	127	1	table	table	NOUN
fcis-30253	127	2	3	3	NUM
fcis-30253	127	3	.	.	PUNCT
fcis-30253	127	4	comparison	comparison	NOUN
fcis-30253	127	5	of	of	ADP
fcis-30253	127	6	interference	interference	NOUN
fcis-30253	127	7	recognition	recognition	NOUN
fcis-30253	127	8	accuracy	accuracy	NOUN
fcis-30253	127	9	of	of	ADP
fcis-30253	127	10	different	different	ADJ
fcis-30253	127	11	networks	network	NOUN
fcis-30253	127	12	.	.	PUNCT
fcis-30253	128	1	cv	cv	ADJ
fcis-30253	128	2	-	-	PUNCT
fcis-30253	128	3	r	r	NOUN
fcis-30253	128	4	-	-	PUNCT
fcis-30253	128	5	bilstm	bilstm	NOUN
fcis-30253	128	6	-	-	PUNCT
fcis-30253	128	7	a	a	PRON
fcis-30253	128	8	lenet-5	lenet-5	NUM
fcis-30253	128	9	vgg16	vgg16	NOUN
fcis-30253	128	10	resnet34	resnet34	NOUN
fcis-30253	128	11	inception	inception	ADP
fcis-30253	128	12	v4	v4	PROPN
fcis-30253	128	13	alexnet	alexnet	ADJ
fcis-30253	128	14	densenet	densenet	NOUN
fcis-30253	128	15	single	single	ADJ
fcis-30253	128	16	-	-	PUNCT
fcis-30253	128	17	tone	tone	NOUN
fcis-30253	128	18	90.31	90.31	NUM
fcis-30253	128	19	85.42	85.42	NUM
fcis-30253	128	20	84.52	84.52	NUM
fcis-30253	128	21	87.48	87.48	NUM
fcis-30253	128	22	89.48	89.48	NUM
fcis-30253	128	23	86.48	86.48	NUM
fcis-30253	128	24	88.28	88.28	NUM
fcis-30253	128	25	multi	multi	NOUN
fcis-30253	128	26	-	-	NOUN
fcis-30253	128	27	tone	tone	NOUN
fcis-30253	128	28	91.02	91.02	NUM
fcis-30253	128	29	84.56	84.56	NUM
fcis-30253	128	30	85.48	85.48	NUM
fcis-30253	128	31	86.34	86.34	NUM
fcis-30253	128	32	89.37	89.37	NUM
fcis-30253	128	33	87.59	87.59	NUM
fcis-30253	128	34	86.12	86.12	NUM
fcis-30253	128	35	linear	linear	NOUN
fcis-30253	128	36	sweep	sweep	NOUN
fcis-30253	128	37	frequency	frequency	NOUN
fcis-30253	128	38	96.99	96.99	NUM
fcis-30253	128	39	87.96	87.96	NUM
fcis-30253	128	40	90.54	90.54	NUM
fcis-30253	128	41	94.84	94.84	NUM
fcis-30253	128	42	93.48	93.48	NUM
fcis-30253	128	43	91.26	91.26	NUM
fcis-30253	128	44	94.58	94.58	NUM
fcis-30253	128	45	noise	noise	NOUN
fcis-30253	128	46	frequency	frequency	NOUN
fcis-30253	128	47	modulation	modulation	NOUN
fcis-30253	128	48	83.58	83.58	NUM
fcis-30253	128	49	78.45	78.45	NUM
fcis-30253	128	50	77.54	77.54	NUM
fcis-30253	128	51	76.35	76.35	NUM
fcis-30253	128	52	74.58	74.58	NUM
fcis-30253	128	53	80.26	80.26	NUM
fcis-30253	128	54	79.58	79.58	NUM
fcis-30253	128	55	noise	noise	NOUN
fcis-30253	128	56	amplitude	amplitude	NOUN
fcis-30253	128	57	modulation	modulation	NOUN
fcis-30253	128	58	84.08	84.08	NUM
fcis-30253	128	59	81.54	81.54	NUM
fcis-30253	128	60	80.45	80.45	NUM
fcis-30253	128	61	81.35	81.35	NUM
fcis-30253	128	62	80.91	80.91	NUM
fcis-30253	128	63	79.81	79.81	NUM
fcis-30253	128	64	76.58	76.58	NUM
fcis-30253	128	65	partial	partial	ADJ
fcis-30253	128	66	-	-	PUNCT
fcis-30253	128	67	band	band	NOUN
fcis-30253	128	68	noise	noise	NOUN
fcis-30253	128	69	81.07	81.07	NUM
fcis-30253	128	70	78.64	78.64	NUM
fcis-30253	128	71	75.83	75.83	NUM
fcis-30253	128	72	76.58	76.58	NUM
fcis-30253	128	73	74.38	74.38	NUM
fcis-30253	128	74	71.27	71.27	NUM
fcis-30253	128	75	79.84	79.84	NUM
fcis-30253	128	76	chirp	chirp	ADJ
fcis-30253	128	77	frequency	frequency	NOUN
fcis-30253	128	78	modulation	modulation	NOUN
fcis-30253	128	79	86.97	86.97	NUM
fcis-30253	128	80	81.34	81.34	NUM
fcis-30253	128	81	82.45	82.45	NUM
fcis-30253	128	82	83.48	83.48	NUM
fcis-30253	128	83	82.57	82.57	NUM
fcis-30253	128	84	85.18	85.18	NUM
fcis-30253	128	85	79.84	79.84	NUM
fcis-30253	128	86	sawtooth	sawtooth	NOUN
fcis-30253	128	87	wave	wave	NOUN
fcis-30253	128	88	frequency	frequency	NOUN
fcis-30253	128	89	modulation	modulation	NOUN
fcis-30253	128	90	92.33	92.33	NUM
fcis-30253	128	91	84.56	84.56	NUM
fcis-30253	128	92	90.48	90.48	NUM
fcis-30253	128	93	82.46	82.46	NUM
fcis-30253	128	94	91.48	91.48	NUM
fcis-30253	128	95	86.48	86.48	NUM
fcis-30253	128	96	89.48	89.48	NUM
fcis-30253	129	1	it	it	PRON
fcis-30253	129	2	can	can	AUX
fcis-30253	129	3	be	be	AUX
fcis-30253	129	4	seen	see	VERB
fcis-30253	129	5	from	from	ADP
fcis-30253	129	6	the	the	DET
fcis-30253	129	7	above	above	ADJ
fcis-30253	129	8	table	table	NOUN
fcis-30253	129	9	that	that	SCONJ
fcis-30253	129	10	the	the	DET
fcis-30253	129	11	existing	exist	VERB
fcis-30253	129	12	several	several	ADJ
fcis-30253	129	13	networks	network	NOUN
fcis-30253	129	14	only	only	ADV
fcis-30253	129	15	have	have	VERB
fcis-30253	129	16	better	well	ADJ
fcis-30253	129	17	recognition	recognition	NOUN
fcis-30253	129	18	effects	effect	NOUN
fcis-30253	129	19	on	on	ADP
fcis-30253	129	20	individual	individual	ADJ
fcis-30253	129	21	types	type	NOUN
fcis-30253	129	22	of	of	ADP
fcis-30253	129	23	interference	interference	NOUN
fcis-30253	129	24	,	,	PUNCT
fcis-30253	129	25	for	for	ADP
fcis-30253	129	26	example	example	NOUN
fcis-30253	129	27	,	,	PUNCT
fcis-30253	129	28	the	the	DET
fcis-30253	129	29	alexnet	alexnet	ADJ
fcis-30253	129	30	network	network	NOUN
fcis-30253	129	31	has	have	VERB
fcis-30253	129	32	a	a	DET
fcis-30253	129	33	better	well	ADJ
fcis-30253	129	34	recognition	recognition	NOUN
fcis-30253	129	35	effect	effect	NOUN
fcis-30253	129	36	on	on	ADP
fcis-30253	129	37	single	single	ADJ
fcis-30253	129	38	-	-	PUNCT
fcis-30253	129	39	tone	tone	NOUN
fcis-30253	129	40	and	and	CCONJ
fcis-30253	129	41	multi	multi	ADJ
fcis-30253	129	42	-	-	ADJ
fcis-30253	129	43	tone	tone	NOUN
fcis-30253	129	44	interference	interference	NOUN
fcis-30253	129	45	,	,	PUNCT
fcis-30253	129	46	the	the	DET
fcis-30253	129	47	resnet	resnet	NOUN
fcis-30253	129	48	34	34	NUM
fcis-30253	129	49	and	and	CCONJ
fcis-30253	129	50	densenet	densenet	NOUN
fcis-30253	129	51	networks	network	NOUN
fcis-30253	129	52	have	have	VERB
fcis-30253	129	53	a	a	DET
fcis-30253	129	54	better	well	ADJ
fcis-30253	129	55	recognition	recognition	NOUN
fcis-30253	129	56	effect	effect	NOUN
fcis-30253	129	57	on	on	ADP
fcis-30253	129	58	linear	linear	ADJ
fcis-30253	129	59	sweep	sweep	NOUN
fcis-30253	129	60	frequency	frequency	NOUN
fcis-30253	129	61	interference	interference	NOUN
fcis-30253	129	62	,	,	PUNCT
fcis-30253	129	63	and	and	CCONJ
fcis-30253	129	64	the	the	DET
fcis-30253	129	65	vgg	vgg	ADJ
fcis-30253	129	66	16	16	NUM
fcis-30253	129	67	network	network	NOUN
fcis-30253	129	68	has	have	VERB
fcis-30253	129	69	a	a	DET
fcis-30253	129	70	better	well	ADJ
fcis-30253	129	71	recognition	recognition	NOUN
fcis-30253	129	72	effect	effect	NOUN
fcis-30253	129	73	on	on	ADP
fcis-30253	129	74	sawtooth	sawtooth	ADJ
fcis-30253	129	75	wave	wave	NOUN
fcis-30253	129	76	frequency	frequency	NOUN
fcis-30253	129	77	modulation	modulation	NOUN
fcis-30253	129	78	interference	interference	NOUN
fcis-30253	129	79	,	,	PUNCT
fcis-30253	129	80	but	but	CCONJ
fcis-30253	129	81	the	the	DET
fcis-30253	129	82	recognition	recognition	NOUN
fcis-30253	129	83	effects	effect	NOUN
fcis-30253	129	84	on	on	ADP
fcis-30253	129	85	noise	noise	NOUN
fcis-30253	129	86	frequency	frequency	NOUN
fcis-30253	129	87	modulation	modulation	NOUN
fcis-30253	129	88	,	,	PUNCT
fcis-30253	129	89	noise	noise	NOUN
fcis-30253	129	90	amplitude	amplitude	NOUN
fcis-30253	129	91	modulation	modulation	NOUN
fcis-30253	129	92	,	,	PUNCT
fcis-30253	129	93	and	and	CCONJ
fcis-30253	129	94	partial	partial	ADJ
fcis-30253	129	95	noise	noise	NOUN
fcis-30253	129	96	are	be	AUX
fcis-30253	129	97	not	not	PART
fcis-30253	129	98	outstanding	outstanding	ADJ
fcis-30253	129	99	.	.	PUNCT
fcis-30253	130	1	overall	overall	ADV
fcis-30253	130	2	,	,	PUNCT
fcis-30253	130	3	the	the	DET
fcis-30253	130	4	cv	cv	PROPN
fcis-30253	130	5	-	-	PUNCT
fcis-30253	130	6	r	r	NOUN
fcis-30253	130	7	-	-	PUNCT
fcis-30253	130	8	bilstm	bilstm	NOUN
fcis-30253	130	9	-	-	PUNCT
fcis-30253	130	10	a	a	DET
fcis-30253	130	11	network	network	NOUN
fcis-30253	130	12	has	have	VERB
fcis-30253	130	13	the	the	DET
fcis-30253	130	14	best	good	ADJ
fcis-30253	130	15	recognition	recognition	NOUN
fcis-30253	130	16	effect	effect	NOUN
fcis-30253	130	17	on	on	ADP
fcis-30253	130	18	eight	eight	NUM
fcis-30253	130	19	types	type	NOUN
fcis-30253	130	20	of	of	ADP
fcis-30253	130	21	interference	interference	NOUN
fcis-30253	130	22	signals	signal	NOUN
fcis-30253	130	23	.	.	PUNCT
fcis-30253	131	1	the	the	DET
fcis-30253	131	2	curves	curve	NOUN
fcis-30253	131	3	of	of	ADP
fcis-30253	131	4	the	the	DET
fcis-30253	131	5	overall	overall	ADJ
fcis-30253	131	6	recognition	recognition	NOUN
fcis-30253	131	7	accuracy	accuracy	NOUN
fcis-30253	131	8	of	of	ADP
fcis-30253	131	9	different	different	ADJ
fcis-30253	131	10	networks	network	NOUN
fcis-30253	131	11	varying	vary	VERB
fcis-30253	131	12	with	with	ADP
fcis-30253	131	13	the	the	DET
fcis-30253	131	14	dry	dry	ADJ
fcis-30253	131	15	noise	noise	NOUN
fcis-30253	131	16	ratio	ratio	NOUN
fcis-30253	131	17	are	be	AUX
fcis-30253	131	18	shown	show	VERB
fcis-30253	131	19	in	in	ADP
fcis-30253	131	20	fig	fig	NOUN
fcis-30253	131	21	9	9	NUM
fcis-30253	131	22	.	.	NOUN
fcis-30253	131	23	154	154	NUM
fcis-30253	131	24	figure	figure	NOUN
fcis-30253	131	25	9	9	NUM
fcis-30253	131	26	.	.	PUNCT
fcis-30253	132	1	the	the	DET
fcis-30253	132	2	performance	performance	NOUN
fcis-30253	132	3	comparison	comparison	NOUN
fcis-30253	132	4	of	of	ADP
fcis-30253	132	5	different	different	ADJ
fcis-30253	132	6	network	network	NOUN
fcis-30253	132	7	models	model	NOUN
fcis-30253	132	8	.	.	PUNCT
fcis-30253	133	1	it	it	PRON
fcis-30253	133	2	can	can	AUX
fcis-30253	133	3	be	be	AUX
fcis-30253	133	4	seen	see	VERB
fcis-30253	133	5	from	from	ADP
fcis-30253	133	6	the	the	DET
fcis-30253	133	7	figure	figure	NOUN
fcis-30253	133	8	that	that	SCONJ
fcis-30253	133	9	the	the	DET
fcis-30253	133	10	cv	cv	PROPN
fcis-30253	133	11	-	-	PUNCT
fcis-30253	133	12	r	r	NOUN
fcis-30253	133	13	-	-	PUNCT
fcis-30253	133	14	bilstm	bilstm	NOUN
fcis-30253	133	15	-	-	PUNCT
fcis-30253	133	16	a	a	DET
fcis-30253	133	17	recognition	recognition	NOUN
fcis-30253	133	18	network	network	NOUN
fcis-30253	133	19	has	have	AUX
fcis-30253	133	20	a	a	DET
fcis-30253	133	21	more	more	ADV
fcis-30253	133	22	obvious	obvious	ADJ
fcis-30253	133	23	advantage	advantage	NOUN
fcis-30253	133	24	in	in	ADP
fcis-30253	133	25	recognition	recognition	NOUN
fcis-30253	133	26	effect	effect	NOUN
fcis-30253	133	27	compared	compare	VERB
fcis-30253	133	28	to	to	ADP
fcis-30253	133	29	other	other	ADJ
fcis-30253	133	30	networks	network	NOUN
fcis-30253	133	31	.	.	PUNCT
fcis-30253	134	1	when	when	SCONJ
fcis-30253	134	2	the	the	DET
fcis-30253	134	3	dry	dry	ADJ
fcis-30253	134	4	noise	noise	NOUN
fcis-30253	134	5	ratio	ratio	NOUN
fcis-30253	134	6	is	be	AUX
fcis-30253	134	7	-5	-5	ADJ
fcis-30253	134	8	db	db	PROPN
fcis-30253	134	9	,	,	PUNCT
fcis-30253	134	10	the	the	DET
fcis-30253	134	11	network	network	NOUN
fcis-30253	134	12	designed	design	VERB
fcis-30253	134	13	in	in	ADP
fcis-30253	134	14	this	this	DET
fcis-30253	134	15	paper	paper	NOUN
fcis-30253	134	16	still	still	ADV
fcis-30253	134	17	has	have	VERB
fcis-30253	134	18	a	a	DET
fcis-30253	134	19	recognition	recognition	NOUN
fcis-30253	134	20	accuracy	accuracy	NOUN
fcis-30253	134	21	of	of	ADP
fcis-30253	134	22	approximately	approximately	ADV
fcis-30253	134	23	50	50	NUM
fcis-30253	134	24	%	%	NOUN
fcis-30253	134	25	,	,	PUNCT
fcis-30253	134	26	while	while	SCONJ
fcis-30253	134	27	other	other	ADJ
fcis-30253	134	28	networks	network	NOUN
fcis-30253	134	29	basically	basically	ADV
fcis-30253	134	30	do	do	AUX
fcis-30253	134	31	not	not	PART
fcis-30253	134	32	have	have	VERB
fcis-30253	134	33	the	the	DET
fcis-30253	134	34	recognition	recognition	NOUN
fcis-30253	134	35	ability	ability	NOUN
fcis-30253	134	36	at	at	ADP
fcis-30253	134	37	this	this	DET
fcis-30253	134	38	time	time	NOUN
fcis-30253	134	39	.	.	PUNCT
fcis-30253	135	1	after	after	SCONJ
fcis-30253	135	2	the	the	DET
fcis-30253	135	3	dry	dry	ADJ
fcis-30253	135	4	noise	noise	NOUN
fcis-30253	135	5	ratio	ratio	NOUN
fcis-30253	135	6	is	be	AUX
fcis-30253	135	7	greater	great	ADJ
fcis-30253	135	8	than	than	ADP
fcis-30253	135	9	5	5	NUM
fcis-30253	135	10	db	db	PROPN
fcis-30253	135	11	,	,	PUNCT
fcis-30253	135	12	the	the	DET
fcis-30253	135	13	cv	cv	PROPN
fcis-30253	135	14	-	-	PUNCT
fcis-30253	135	15	rbilstm	rbilstm	NOUN
fcis-30253	135	16	-	-	PUNCT
fcis-30253	135	17	a	a	DET
fcis-30253	135	18	network	network	NOUN
fcis-30253	135	19	has	have	VERB
fcis-30253	135	20	a	a	DET
fcis-30253	135	21	more	more	ADV
fcis-30253	135	22	advantageous	advantageous	ADJ
fcis-30253	135	23	recognition	recognition	NOUN
fcis-30253	135	24	ability	ability	NOUN
fcis-30253	135	25	,	,	PUNCT
fcis-30253	135	26	and	and	CCONJ
fcis-30253	135	27	the	the	DET
fcis-30253	135	28	recognition	recognition	NOUN
fcis-30253	135	29	rate	rate	NOUN
fcis-30253	135	30	can	can	AUX
fcis-30253	135	31	reach	reach	VERB
fcis-30253	135	32	more	more	ADJ
fcis-30253	135	33	than	than	ADP
fcis-30253	135	34	95	95	NUM
fcis-30253	135	35	%	%	NOUN
fcis-30253	135	36	,	,	PUNCT
fcis-30253	135	37	while	while	SCONJ
fcis-30253	135	38	the	the	DET
fcis-30253	135	39	recognition	recognition	NOUN
fcis-30253	135	40	rate	rate	NOUN
fcis-30253	135	41	of	of	ADP
fcis-30253	135	42	other	other	ADJ
fcis-30253	135	43	networks	network	NOUN
fcis-30253	135	44	is	be	AUX
fcis-30253	135	45	between	between	ADP
fcis-30253	135	46	80	80	NUM
fcis-30253	135	47	%	%	NOUN
fcis-30253	135	48	and	and	CCONJ
fcis-30253	135	49	90	90	NUM
fcis-30253	135	50	%	%	NOUN
fcis-30253	135	51	at	at	ADP
fcis-30253	135	52	this	this	DET
fcis-30253	135	53	time	time	NOUN
fcis-30253	135	54	.	.	PUNCT
fcis-30253	136	1	through	through	ADP
fcis-30253	136	2	the	the	DET
fcis-30253	136	3	presentation	presentation	NOUN
fcis-30253	136	4	of	of	ADP
fcis-30253	136	5	the	the	DET
fcis-30253	136	6	above	above	ADJ
fcis-30253	136	7	figure	figure	NOUN
fcis-30253	136	8	and	and	CCONJ
fcis-30253	136	9	table	table	NOUN
fcis-30253	136	10	,	,	PUNCT
fcis-30253	136	11	it	it	PRON
fcis-30253	136	12	is	be	AUX
fcis-30253	136	13	proved	prove	VERB
fcis-30253	136	14	that	that	SCONJ
fcis-30253	136	15	the	the	DET
fcis-30253	136	16	designed	design	VERB
fcis-30253	136	17	cv	cv	NOUN
fcis-30253	136	18	-	-	PUNCT
fcis-30253	136	19	rbilstm	rbilstm	NOUN
fcis-30253	136	20	-	-	PUNCT
fcis-30253	136	21	a	a	DET
fcis-30253	136	22	network	network	NOUN
fcis-30253	136	23	model	model	NOUN
fcis-30253	136	24	is	be	AUX
fcis-30253	136	25	more	more	ADV
fcis-30253	136	26	suitable	suitable	ADJ
fcis-30253	136	27	for	for	ADP
fcis-30253	136	28	the	the	DET
fcis-30253	136	29	recognition	recognition	NOUN
fcis-30253	136	30	and	and	CCONJ
fcis-30253	136	31	classification	classification	NOUN
fcis-30253	136	32	of	of	ADP
fcis-30253	136	33	these	these	DET
fcis-30253	136	34	eight	eight	NUM
fcis-30253	136	35	types	type	NOUN
fcis-30253	136	36	of	of	ADP
fcis-30253	136	37	interference	interference	NOUN
fcis-30253	136	38	signals	signal	NOUN
fcis-30253	136	39	than	than	ADP
fcis-30253	136	40	the	the	DET
fcis-30253	136	41	other	other	ADJ
fcis-30253	136	42	several	several	ADJ
fcis-30253	136	43	networks	network	NOUN
fcis-30253	136	44	,	,	PUNCT
fcis-30253	136	45	reflecting	reflect	VERB
fcis-30253	136	46	the	the	DET
fcis-30253	136	47	effectiveness	effectiveness	NOUN
fcis-30253	136	48	of	of	ADP
fcis-30253	136	49	this	this	DET
fcis-30253	136	50	network	network	NOUN
fcis-30253	136	51	designed	design	VERB
fcis-30253	136	52	in	in	ADP
fcis-30253	136	53	this	this	DET
fcis-30253	136	54	paper	paper	NOUN
fcis-30253	136	55	.	.	PUNCT
fcis-30253	137	1	6	6	NUM
fcis-30253	137	2	.	.	X
fcis-30253	137	3	conclusion	conclusion	NOUN
fcis-30253	137	4	in	in	ADP
fcis-30253	137	5	response	response	NOUN
fcis-30253	137	6	to	to	ADP
fcis-30253	137	7	the	the	DET
fcis-30253	137	8	current	current	ADJ
fcis-30253	137	9	problems	problem	NOUN
fcis-30253	137	10	of	of	ADP
fcis-30253	137	11	fewer	few	ADJ
fcis-30253	137	12	interference	interference	NOUN
fcis-30253	137	13	signal	signal	NOUN
fcis-30253	137	14	recognition	recognition	NOUN
fcis-30253	137	15	methods	method	NOUN
fcis-30253	137	16	and	and	CCONJ
fcis-30253	137	17	the	the	DET
fcis-30253	137	18	low	low	ADJ
fcis-30253	137	19	overall	overall	ADJ
fcis-30253	137	20	recognition	recognition	NOUN
fcis-30253	137	21	rate	rate	NOUN
fcis-30253	137	22	of	of	ADP
fcis-30253	137	23	interference	interference	NOUN
fcis-30253	137	24	recognition	recognition	NOUN
fcis-30253	137	25	in	in	ADP
fcis-30253	137	26	existing	exist	VERB
fcis-30253	137	27	methods	method	NOUN
fcis-30253	137	28	,	,	PUNCT
fcis-30253	137	29	this	this	DET
fcis-30253	137	30	paper	paper	NOUN
fcis-30253	137	31	proposes	propose	VERB
fcis-30253	137	32	the	the	DET
fcis-30253	137	33	cv	cv	PROPN
fcis-30253	137	34	-	-	PUNCT
fcis-30253	137	35	r	r	NOUN
fcis-30253	137	36	-	-	PUNCT
fcis-30253	137	37	bilstm	bilstm	NOUN
fcis-30253	137	38	-	-	PUNCT
fcis-30253	137	39	a	a	DET
fcis-30253	137	40	network	network	NOUN
fcis-30253	137	41	to	to	PART
fcis-30253	137	42	recognize	recognize	VERB
fcis-30253	137	43	interference	interference	NOUN
fcis-30253	137	44	signals	signal	NOUN
fcis-30253	137	45	.	.	PUNCT
fcis-30253	138	1	adding	add	VERB
fcis-30253	138	2	a	a	DET
fcis-30253	138	3	complex	complex	ADJ
fcis-30253	138	4	number	number	NOUN
fcis-30253	138	5	module	module	NOUN
fcis-30253	138	6	can	can	AUX
fcis-30253	138	7	extract	extract	VERB
fcis-30253	138	8	signal	signal	NOUN
fcis-30253	138	9	features	feature	NOUN
fcis-30253	138	10	more	more	ADV
fcis-30253	138	11	completely	completely	ADV
fcis-30253	138	12	,	,	PUNCT
fcis-30253	138	13	the	the	DET
fcis-30253	138	14	bilstm	bilstm	NOUN
fcis-30253	138	15	module	module	NOUN
fcis-30253	138	16	extracts	extract	VERB
fcis-30253	138	17	temporal	temporal	ADJ
fcis-30253	138	18	features	feature	NOUN
fcis-30253	138	19	,	,	PUNCT
fcis-30253	138	20	and	and	CCONJ
fcis-30253	138	21	the	the	DET
fcis-30253	138	22	attention	attention	NOUN
fcis-30253	138	23	mechanism	mechanism	NOUN
fcis-30253	138	24	distinguishes	distinguish	VERB
fcis-30253	138	25	the	the	DET
fcis-30253	138	26	importance	importance	NOUN
fcis-30253	138	27	of	of	ADP
fcis-30253	138	28	features	feature	NOUN
fcis-30253	138	29	to	to	PART
fcis-30253	138	30	improve	improve	VERB
fcis-30253	138	31	the	the	DET
fcis-30253	138	32	recognition	recognition	NOUN
fcis-30253	138	33	accuracy	accuracy	NOUN
fcis-30253	138	34	.	.	PUNCT
fcis-30253	139	1	the	the	DET
fcis-30253	139	2	results	result	NOUN
fcis-30253	139	3	show	show	VERB
fcis-30253	139	4	that	that	SCONJ
fcis-30253	139	5	the	the	DET
fcis-30253	139	6	overall	overall	ADJ
fcis-30253	139	7	recognition	recognition	NOUN
fcis-30253	139	8	accuracy	accuracy	NOUN
fcis-30253	139	9	of	of	ADP
fcis-30253	139	10	the	the	DET
fcis-30253	139	11	cv	cv	PROPN
fcis-30253	139	12	-	-	PUNCT
fcis-30253	139	13	r	r	NOUN
fcis-30253	139	14	-	-	PUNCT
fcis-30253	139	15	bilstm	bilstm	NOUN
fcis-30253	139	16	-	-	PUNCT
fcis-30253	139	17	a	a	DET
fcis-30253	139	18	network	network	NOUN
fcis-30253	139	19	has	have	AUX
fcis-30253	139	20	been	be	AUX
fcis-30253	139	21	improved	improve	VERB
fcis-30253	139	22	,	,	PUNCT
fcis-30253	139	23	but	but	CCONJ
fcis-30253	139	24	the	the	DET
fcis-30253	139	25	network	network	NOUN
fcis-30253	139	26	has	have	VERB
fcis-30253	139	27	a	a	DET
fcis-30253	139	28	poor	poor	ADJ
fcis-30253	139	29	recognition	recognition	NOUN
fcis-30253	139	30	rate	rate	NOUN
fcis-30253	139	31	for	for	ADP
fcis-30253	139	32	some	some	DET
fcis-30253	139	33	noises	noise	NOUN
fcis-30253	139	34	,	,	PUNCT
fcis-30253	139	35	noise	noise	NOUN
fcis-30253	139	36	frequency	frequency	NOUN
fcis-30253	139	37	modulation	modulation	NOUN
fcis-30253	139	38	,	,	PUNCT
fcis-30253	139	39	and	and	CCONJ
fcis-30253	139	40	amplitude	amplitude	NOUN
fcis-30253	139	41	modulation	modulation	NOUN
fcis-30253	139	42	at	at	ADP
fcis-30253	139	43	a	a	DET
fcis-30253	139	44	low	low	ADJ
fcis-30253	139	45	dry	dry	ADJ
fcis-30253	139	46	noise	noise	NOUN
fcis-30253	139	47	ratio	ratio	NOUN
fcis-30253	139	48	.	.	PUNCT
fcis-30253	140	1	references	reference	NOUN
fcis-30253	140	2	[	[	X
fcis-30253	140	3	1	1	NUM
fcis-30253	140	4	]	]	PUNCT
fcis-30253	140	5	mei	mei	PROPN
fcis-30253	140	6	wenhua	wenhua	PROPN
fcis-30253	140	7	,	,	PUNCT
fcis-30253	140	8	cai	cai	PROPN
fcis-30253	140	9	shanfa	shanfa	PROPN
fcis-30253	140	10	.	.	PUNCT
fcis-30253	141	1	jtids	jtids	PROPN
fcis-30253	141	2	/	/	SYM
fcis-30253	141	3	link16	link16	PROPN
fcis-30253	141	4	data	data	PROPN
fcis-30253	141	5	link	link	NOUN
fcis-30253	142	1	[	[	X
fcis-30253	143	1	m	m	X
fcis-30253	143	2	]	]	X
fcis-30253	143	3	.	.	PUNCT
fcis-30253	144	1	beijing	beijing	PROPN
fcis-30253	144	2	:	:	PUNCT
fcis-30253	144	3	national	national	ADJ
fcis-30253	144	4	defense	defense	NOUN
fcis-30253	144	5	industry	industry	NOUN
fcis-30253	144	6	press,2007	press,2007	ADJ
fcis-30253	144	7	.	.	PUNCT
fcis-30253	145	1	[	[	X
fcis-30253	145	2	2	2	NUM
fcis-30253	145	3	]	]	X
fcis-30253	145	4	j	j	PROPN
fcis-30253	145	5	-	-	PUNCT
fcis-30253	145	6	e	e	PROPN
fcis-30253	145	7	hwang	hwang	PROPN
fcis-30253	145	8	,	,	PUNCT
fcis-30253	145	9	k	k	PROPN
fcis-30253	145	10	lee	lee	PROPN
fcis-30253	145	11	and	and	CCONJ
fcis-30253	145	12	s	s	PROPN
fcis-30253	145	13	-	-	PROPN
fcis-30253	145	14	h	h	PROPN
fcis-30253	145	15	jung	jung	NOUN
fcis-30253	145	16	.	.	PUNCT
fcis-30253	146	1	a	a	DET
fcis-30253	146	2	study	study	NOUN
fcis-30253	146	3	on	on	ADP
fcis-30253	146	4	the	the	DET
fcis-30253	146	5	multi	multi	ADJ
fcis-30253	146	6	-	-	ADJ
fcis-30253	146	7	tactical	tactical	ADJ
fcis-30253	146	8	data	datum	NOUN
fcis-30253	146	9	link	link	NOUN
fcis-30253	146	10	data	datum	NOUN
fcis-30253	146	11	management	management	NOUN
fcis-30253	147	1	[	[	X
fcis-30253	147	2	j	j	X
fcis-30253	147	3	]	]	X
fcis-30253	147	4	.	.	PUNCT
fcis-30253	148	1	the	the	DET
fcis-30253	148	2	journal	journal	NOUN
fcis-30253	148	3	of	of	ADP
fcis-30253	148	4	the	the	DET
fcis-30253	148	5	korea	korea	PROPN
fcis-30253	148	6	institute	institute	PROPN
fcis-30253	148	7	of	of	ADP
fcis-30253	148	8	electronic	electronic	ADJ
fcis-30253	148	9	communication	communication	NOUN
fcis-30253	148	10	sciences	science	NOUN
fcis-30253	148	11	,	,	PUNCT
fcis-30253	148	12	2020	2020	NUM
fcis-30253	148	13	,	,	PUNCT
fcis-30253	148	14	15(3	15(3	NUM
fcis-30253	148	15	):	):	PUNCT
fcis-30253	148	16	457	457	NUM
fcis-30253	148	17	464	464	NUM
fcis-30253	148	18	.	.	PUNCT
fcis-30253	149	1	[	[	X
fcis-30253	149	2	3	3	X
fcis-30253	149	3	]	]	X
fcis-30253	149	4	lu	lu	PROPN
fcis-30253	149	5	na	na	PROPN
fcis-30253	149	6	.	.	PROPN
fcis-30253	149	7	data	data	PROPN
fcis-30253	149	8	link	link	PROPN
fcis-30253	149	9	theory	theory	NOUN
fcis-30253	149	10	and	and	CCONJ
fcis-30253	149	11	system	system	NOUN
fcis-30253	150	1	[	[	X
fcis-30253	150	2	m	m	X
fcis-30253	150	3	]	]	X
fcis-30253	150	4	.	.	PUNCT
fcis-30253	151	1	2nd	2nd	PROPN
fcis-30253	151	2	edition	edition	PROPN
fcis-30253	151	3	.	.	PUNCT
fcis-30253	152	1	beijing	beijing	PROPN
fcis-30253	152	2	:	:	PUNCT
fcis-30253	152	3	publishing	publish	VERB
fcis-30253	152	4	house	house	NOUN
fcis-30253	152	5	of	of	ADP
fcis-30253	152	6	electronics	electronic	NOUN
fcis-30253	152	7	industry	industry	NOUN
fcis-30253	152	8	,	,	PUNCT
fcis-30253	152	9	2018	2018	NUM
fcis-30253	152	10	.	.	PUNCT
fcis-30253	153	1	[	[	X
fcis-30253	153	2	4	4	NUM
fcis-30253	153	3	]	]	PUNCT
fcis-30253	153	4	c.trabelsi	c.trabelsi	NOUN
fcis-30253	153	5	,	,	PUNCT
fcis-30253	153	6	o.bilaniuk	o.bilaniuk	NOUN
fcis-30253	153	7	,	,	PUNCT
fcis-30253	153	8	y.zhang	y.zhang	PROPN
fcis-30253	153	9	,	,	PUNCT
fcis-30253	153	10	et	et	PROPN
fcis-30253	153	11	al	al	PROPN
fcis-30253	153	12	.	.	PUNCT
fcis-30253	154	1	deep	deep	ADJ
fcis-30253	154	2	complex	complex	ADJ
fcis-30253	154	3	networks	network	NOUN
fcis-30253	155	1	[	[	X
fcis-30253	155	2	j	j	X
fcis-30253	155	3	]	]	X
fcis-30253	155	4	.	.	PUNCT
fcis-30253	156	1	arxiv	arxiv	PROPN
fcis-30253	156	2	,	,	PUNCT
fcis-30253	156	3	2017	2017	NUM
fcis-30253	156	4	,	,	PUNCT
fcis-30253	156	5	1705.09792	1705.09792	NUM
fcis-30253	156	6	.	.	PUNCT
fcis-30253	157	1	[	[	X
fcis-30253	157	2	5	5	X
fcis-30253	157	3	]	]	PUNCT
fcis-30253	157	4	k.	k.	NOUN
fcis-30253	158	1	he	he	PROPN
fcis-30253	158	2	,	,	PUNCT
fcis-30253	158	3	x.	x.	PROPN
fcis-30253	158	4	zhang	zhang	PROPN
fcis-30253	158	5	,	,	PUNCT
fcis-30253	158	6	s.	s.	PROPN
fcis-30253	158	7	ren	ren	PROPN
fcis-30253	158	8	,	,	PUNCT
fcis-30253	158	9	et	et	PROPN
fcis-30253	158	10	al	al	PROPN
fcis-30253	158	11	.	.	PUNCT
fcis-30253	159	1	deep	deep	ADJ
fcis-30253	159	2	residual	residual	ADJ
fcis-30253	159	3	learning	learning	NOUN
fcis-30253	159	4	for	for	ADP
fcis-30253	159	5	image	image	NOUN
fcis-30253	159	6	recognition[j	recognition[j	NOUN
fcis-30253	159	7	]	]	PUNCT
fcis-30253	159	8	.	.	PUNCT
fcis-30253	160	1	arxiv	arxiv	PROPN
fcis-30253	160	2	,	,	PUNCT
fcis-30253	160	3	2016(6):770	2016(6):770	NUM
fcis-30253	160	4	-	-	SYM
fcis-30253	160	5	778	778	NUM
fcis-30253	160	6	.	.	PUNCT
fcis-30253	161	1	[	[	X
fcis-30253	161	2	6	6	NUM
fcis-30253	161	3	]	]	X
fcis-30253	161	4	zhu	zhu	PROPN
fcis-30253	161	5	jialu	jialu	PROPN
fcis-30253	161	6	,	,	PUNCT
fcis-30253	161	7	ma	ma	PROPN
fcis-30253	161	8	yongtao	yongtao	PROPN
fcis-30253	161	9	,	,	PUNCT
fcis-30253	161	10	liu	liu	PROPN
fcis-30253	161	11	kaihua	kaihua	PROPN
fcis-30253	161	12	.	.	PUNCT
fcis-30253	162	1	multi	multi	ADJ
fcis-30253	162	2	-	-	NOUN
fcis-30253	162	3	user	user	ADJ
fcis-30253	162	4	joint	joint	ADJ
fcis-30253	162	5	antiinterference	antiinterference	NOUN
fcis-30253	162	6	decision	decision	NOUN
fcis-30253	162	7	algorithm	algorithm	NOUN
fcis-30253	162	8	based	base	VERB
fcis-30253	162	9	on	on	ADP
fcis-30253	162	10	lstm	lstm	NOUN
fcis-30253	162	11	and	and	CCONJ
fcis-30253	162	12	dqn	dqn	NOUN
fcis-30253	163	1	[	[	X
fcis-30253	163	2	j	j	X
fcis-30253	163	3	]	]	X
fcis-30253	163	4	.	.	PUNCT
fcis-30253	164	1	chinese	chinese	ADJ
fcis-30253	164	2	journal	journal	PROPN
fcis-30253	164	3	of	of	ADP
fcis-30253	164	4	sensor	sensor	NOUN
fcis-30253	164	5	technology	technology	NOUN
fcis-30253	164	6	,	,	PUNCT
fcis-30253	164	7	2021	2021	NUM
fcis-30253	164	8	,	,	PUNCT
fcis-30253	164	9	34(06	34(06	NUM
fcis-30253	164	10	):	):	PUNCT
fcis-30253	164	11	811	811	NUM
fcis-30253	164	12	-	-	SYM
fcis-30253	164	13	817	817	NUM
fcis-30253	164	14	.	.	PUNCT
fcis-30253	165	1	(	(	PUNCT
fcis-30253	165	2	in	in	ADP
fcis-30253	165	3	chinese	chinese	PROPN
fcis-30253	165	4	)	)	PUNCT
fcis-30253	166	1	[	[	X
fcis-30253	166	2	7	7	X
fcis-30253	166	3	]	]	X
fcis-30253	166	4	wei	wei	PROPN
fcis-30253	166	5	yuning	yuning	PROPN
fcis-30253	166	6	,	,	PUNCT
fcis-30253	166	7	zhang	zhang	PROPN
fcis-30253	166	8	jindong	jindong	PROPN
fcis-30253	166	9	,	,	PUNCT
fcis-30253	166	10	li	li	PROPN
fcis-30253	166	11	yong	yong	PROPN
fcis-30253	166	12	et	et	PROPN
fcis-30253	166	13	al	al	PROPN
fcis-30253	166	14	.	.	PROPN
fcis-30253	167	1	automatic	automatic	ADJ
fcis-30253	167	2	design	design	NOUN
fcis-30253	167	3	method	method	NOUN
fcis-30253	167	4	of	of	ADP
fcis-30253	167	5	radar	radar	NOUN
fcis-30253	167	6	interference	interference	NOUN
fcis-30253	167	7	signal	signal	NOUN
fcis-30253	167	8	recognition	recognition	NOUN
fcis-30253	167	9	decision	decision	NOUN
fcis-30253	167	10	tree	tree	NOUN
fcis-30253	168	1	[	[	X
fcis-30253	168	2	j	j	X
fcis-30253	168	3	]	]	X
fcis-30253	168	4	.	.	PUNCT
fcis-30253	169	1	electro	electro	NOUN
fcis-30253	169	2	-	-	PUNCT
fcis-30253	169	3	optics	optic	NOUN
fcis-30253	169	4	and	and	CCONJ
fcis-30253	169	5	control	control	NOUN
fcis-30253	169	6	,	,	PUNCT
fcis-30253	169	7	2019,27(04):82	2019,27(04):82	NOUN
fcis-30253	169	8	-	-	SYM
fcis-30253	169	9	86	86	NUM
fcis-30253	169	10	.	.	PUNCT
fcis-30253	170	1	(	(	PUNCT
fcis-30253	170	2	in	in	ADP
fcis-30253	170	3	chinese	chinese	PROPN
fcis-30253	170	4	)	)	PUNCT
fcis-30253	171	1	[	[	X
fcis-30253	171	2	8	8	NUM
fcis-30253	171	3	]	]	X
fcis-30253	171	4	li	li	PROPN
fcis-30253	171	5	wei	wei	PROPN
fcis-30253	171	6	.	.	PUNCT
fcis-30253	172	1	research	research	NOUN
fcis-30253	172	2	on	on	ADP
fcis-30253	172	3	interference	interference	NOUN
fcis-30253	172	4	technology	technology	NOUN
fcis-30253	172	5	of	of	ADP
fcis-30253	172	6	link16	link16	PROPN
fcis-30253	172	7	data	data	PROPN
fcis-30253	172	8	link	link	NOUN
fcis-30253	172	9	[	[	X
fcis-30253	172	10	d	d	X
fcis-30253	172	11	]	]	X
fcis-30253	172	12	.	.	PUNCT
fcis-30253	173	1	xi	xi	X
fcis-30253	173	2	'	'	PUNCT
fcis-30253	173	3	an	an	X
fcis-30253	173	4	:	:	PUNCT
fcis-30253	173	5	xidian	xidian	ADJ
fcis-30253	173	6	university,2018	university,2018	NOUN
fcis-30253	173	7	.	.	PUNCT
fcis-30253	174	1	[	[	X
fcis-30253	174	2	9	9	NUM
fcis-30253	174	3	]	]	X
fcis-30253	174	4	zhao	zhao	PROPN
fcis-30253	174	5	k	k	PROPN
fcis-30253	174	6	,	,	PUNCT
fcis-30253	174	7	he	he	PRON
fcis-30253	174	8	f	f	AUX
fcis-30253	174	9	,	,	PUNCT
fcis-30253	174	10	meng	meng	PROPN
fcis-30253	174	11	j	j	PROPN
fcis-30253	174	12	,	,	PUNCT
fcis-30253	174	13	et	et	PROPN
fcis-30253	174	14	al	al	PROPN
fcis-30253	174	15	.	.	PROPN
fcis-30253	174	16	performance	performance	NOUN
fcis-30253	174	17	analysis	analysis	NOUN
fcis-30253	174	18	of	of	ADP
fcis-30253	174	19	bit	bit	NOUN
fcis-30253	174	20	error	error	NOUN
fcis-30253	174	21	rate	rate	NOUN
fcis-30253	174	22	of	of	ADP
fcis-30253	174	23	data	datum	NOUN
fcis-30253	174	24	link	link	NOUN
fcis-30253	174	25	system	system	NOUN
fcis-30253	174	26	under	under	ADP
fcis-30253	174	27	pulse	pulse	NOUN
fcis-30253	174	28	lfm	lfm	PROPN
fcis-30253	174	29	interference	interference	NOUN
fcis-30253	174	30	in	in	ADP
fcis-30253	174	31	timevarying	timevarye	VERB
fcis-30253	174	32	rayleigh	rayleigh	PROPN
fcis-30253	174	33	channel[j	channel[j	PROPN
fcis-30253	174	34	]	]	PUNCT
fcis-30253	174	35	.	.	PUNCT
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fcis-30253	175	2	networks	network	NOUN
fcis-30253	175	3	,	,	PUNCT
fcis-30253	175	4	2021	2021	NUM
fcis-30253	175	5	,	,	PUNCT
fcis-30253	175	6	27(3	27(3	NUM
fcis-30253	175	7	):	):	PUNCT
fcis-30253	175	8	1671	1671	NUM
fcis-30253	175	9	-	-	SYM
fcis-30253	175	10	1681	1681	NUM
fcis-30253	175	11	.	.	PUNCT
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fcis-30253	176	2	10	10	NUM
fcis-30253	176	3	]	]	X
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fcis-30253	176	6	,	,	PUNCT
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fcis-30253	176	8	e	e	PROPN
fcis-30253	176	9	,	,	PUNCT
fcis-30253	176	10	choe	choe	PROPN
fcis-30253	176	11	s.	s.	PROPN
fcis-30253	176	12	simulator	simulator	PROPN
fcis-30253	176	13	for	for	ADP
fcis-30253	176	14	tactical	tactical	ADJ
fcis-30253	176	15	data	datum	NOUN
fcis-30253	176	16	link	link	NOUN
fcis-30253	176	17	system	system	NOUN
fcis-30253	176	18	with	with	ADP
fcis-30253	176	19	anti	anti	ADJ
fcis-30253	176	20	-	-	ADJ
fcis-30253	176	21	jamming	jamming	ADJ
fcis-30253	176	22	capability[c	capability[c	NOUN
fcis-30253	176	23	]	]	PUNCT
fcis-30253	176	24	.	.	PUNCT
fcis-30253	177	1	2013	2013	NUM
fcis-30253	177	2	15th	15th	ADJ
fcis-30253	177	3	international	international	ADJ
fcis-30253	177	4	conference	conference	NOUN
fcis-30253	177	5	on	on	ADP
fcis-30253	177	6	advanced	advanced	ADJ
fcis-30253	177	7	communications	communication	NOUN
fcis-30253	177	8	technology	technology	NOUN
fcis-30253	177	9	(	(	PUNCT
fcis-30253	177	10	icact	icact	PROPN
fcis-30253	177	11	)	)	PUNCT
fcis-30253	177	12	,	,	PUNCT
fcis-30253	177	13	pyeongchang	pyeongchang	PROPN
fcis-30253	177	14	,	,	PUNCT
fcis-30253	177	15	korea	korea	PROPN
fcis-30253	177	16	(	(	PUNCT
fcis-30253	177	17	south	south	PROPN
fcis-30253	177	18	)	)	PUNCT
fcis-30253	177	19	,	,	PUNCT
fcis-30253	177	20	2013	2013	NUM
fcis-30253	177	21	:	:	PUNCT
fcis-30253	177	22	789	789	NUM
fcis-30253	177	23	-	-	SYM
fcis-30253	177	24	793	793	NUM
fcis-30253	177	25	.	.	PUNCT
fcis-30253	178	1	[	[	X
fcis-30253	178	2	11	11	NUM
fcis-30253	178	3	]	]	X
fcis-30253	178	4	tan	tan	PROPN
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fcis-30253	178	6	,	,	PUNCT
fcis-30253	178	7	yao	yao	PROPN
fcis-30253	178	8	c	c	AUX
fcis-30253	178	9	,	,	PUNCT
fcis-30253	178	10	pan	pan	PROPN
fcis-30253	178	11	t	t	PROPN
fcis-30253	178	12	,	,	PUNCT
fcis-30253	178	13	et	et	PROPN
fcis-30253	178	14	al	al	PROPN
fcis-30253	178	15	.	.	PROPN
fcis-30253	178	16	study	study	PROPN
fcis-30253	178	17	on	on	ADP
fcis-30253	178	18	link16	link16	ADJ
fcis-30253	178	19	system	system	NOUN
fcis-30253	178	20	with	with	ADP
fcis-30253	178	21	frequency	frequency	NOUN
fcis-30253	178	22	hopping	hop	VERB
fcis-30253	178	23	collision	collision	NOUN
fcis-30253	178	24	interference	interference	NOUN
fcis-30253	178	25	[	[	X
fcis-30253	178	26	j	j	X
fcis-30253	178	27	]	]	X
fcis-30253	178	28	.	.	PUNCT
fcis-30253	179	1	international	international	ADJ
fcis-30253	179	2	journal	journal	PROPN
fcis-30253	179	3	of	of	ADP
fcis-30253	179	4	future	future	ADJ
fcis-30253	179	5	generation	generation	NOUN
fcis-30253	179	6	communication	communication	NOUN
fcis-30253	179	7	and	and	CCONJ
fcis-30253	179	8	networking	networking	NOUN
fcis-30253	179	9	,	,	PUNCT
fcis-30253	179	10	2015	2015	NUM
fcis-30253	179	11	,	,	PUNCT
fcis-30253	179	12	8(2	8(2	NUM
fcis-30253	179	13	):	):	PUNCT
fcis-30253	179	14	197	197	NUM
fcis-30253	179	15	-	-	SYM
fcis-30253	179	16	204	204	NUM
fcis-30253	179	17	.	.	PUNCT
fcis-30253	180	1	[	[	X
fcis-30253	180	2	12	12	NUM
fcis-30253	180	3	]	]	PUNCT
fcis-30253	180	4	ye	ye	PART
fcis-30253	180	5	f	f	PROPN
fcis-30253	180	6	,	,	PUNCT
fcis-30253	180	7	zhao	zhao	PROPN
fcis-30253	180	8	t	t	PROPN
fcis-30253	180	9	,	,	PUNCT
fcis-30253	180	10	li	li	PROPN
fcis-30253	180	11	y	y	PROPN
fcis-30253	180	12	,	,	PUNCT
fcis-30253	180	13	et	et	PROPN
fcis-30253	180	14	al	al	PROPN
fcis-30253	180	15	.	.	PUNCT
fcis-30253	181	1	anti	anti	ADJ
fcis-30253	181	2	-	-	ADJ
fcis-30253	181	3	interference	interference	ADJ
fcis-30253	181	4	strategy	strategy	NOUN
fcis-30253	181	5	selection	selection	NOUN
fcis-30253	181	6	method	method	NOUN
fcis-30253	181	7	based	base	VERB
fcis-30253	181	8	on	on	ADP
fcis-30253	181	9	the	the	DET
fcis-30253	181	10	minimum	minimum	ADJ
fcis-30253	181	11	loss	loss	NOUN
fcis-30253	181	12	criterion[c]//	criterion[c]//	PROPN
fcis-30253	181	13	2020	2020	NUM
fcis-30253	181	14	ieee	ieee	NOUN
fcis-30253	181	15	usnc	usnc	PROPN
fcis-30253	181	16	-	-	PUNCT
fcis-30253	181	17	cnc	cnc	VERB
fcis-30253	181	18	-	-	PUNCT
fcis-30253	181	19	ursi	ursi	ADJ
fcis-30253	181	20	north	north	ADJ
fcis-30253	181	21	american	american	ADJ
fcis-30253	181	22	radio	radio	NOUN
fcis-30253	181	23	science	science	NOUN
fcis-30253	181	24	meeting	meeting	NOUN
fcis-30253	181	25	(	(	PUNCT
fcis-30253	181	26	joint	joint	NOUN
fcis-30253	181	27	with	with	ADP
fcis-30253	181	28	ap	ap	PROPN
fcis-30253	181	29	-	-	PUNCT
fcis-30253	181	30	s	s	NOUN
fcis-30253	181	31	symposium	symposium	NOUN
fcis-30253	181	32	)	)	PUNCT
fcis-30253	181	33	.	.	PUNCT
fcis-30253	182	1	ieee	ieee	PROPN
fcis-30253	182	2	,	,	PUNCT
fcis-30253	182	3	2020	2020	NUM
fcis-30253	182	4	.	.	PUNCT
fcis-30253	183	1	[	[	X
fcis-30253	183	2	13	13	NUM
fcis-30253	183	3	]	]	PUNCT
fcis-30253	183	4	sainath	sainath	PROPN
fcis-30253	183	5	t	t	PROPN
fcis-30253	183	6	n	n	CCONJ
fcis-30253	183	7	,	,	PUNCT
fcis-30253	183	8	vinyals	vinyal	NOUN
fcis-30253	183	9	o	o	NOUN
fcis-30253	183	10	,	,	PUNCT
fcis-30253	183	11	senior	senior	ADJ
fcis-30253	183	12	a	a	X
fcis-30253	183	13	,	,	PUNCT
fcis-30253	183	14	et	et	PROPN
fcis-30253	183	15	al	al	PROPN
fcis-30253	183	16	.	.	PUNCT
fcis-30253	184	1	convolutional	convolutional	ADJ
fcis-30253	184	2	,	,	PUNCT
fcis-30253	184	3	long	long	ADJ
fcis-30253	184	4	short	short	ADJ
fcis-30253	184	5	-	-	PUNCT
fcis-30253	184	6	term	term	NOUN
fcis-30253	184	7	memory	memory	NOUN
fcis-30253	184	8	,	,	PUNCT
fcis-30253	184	9	fully	fully	ADV
fcis-30253	184	10	connected	connected	ADJ
fcis-30253	184	11	deep	deep	ADJ
fcis-30253	184	12	neural	neural	ADJ
fcis-30253	184	13	networks	network	NOUN
fcis-30253	185	1	[	[	X
fcis-30253	185	2	c	c	X
fcis-30253	185	3	]	]	PUNCT
fcis-30253	185	4	.	.	PUNCT
fcis-30253	186	1	international	international	ADJ
fcis-30253	186	2	conference	conference	NOUN
fcis-30253	186	3	on	on	ADP
fcis-30253	186	4	acoustics	acoustic	NOUN
fcis-30253	186	5	,	,	PUNCT
fcis-30253	186	6	speech	speech	NOUN
fcis-30253	186	7	and	and	CCONJ
fcis-30253	186	8	signal	signal	NOUN
fcis-30253	186	9	processing	processing	NOUN
fcis-30253	186	10	.	.	PUNCT
fcis-30253	187	1	ieee	ieee	NOUN
fcis-30253	187	2	,	,	PUNCT
fcis-30253	187	3	2015	2015	NUM
fcis-30253	187	4	:	:	PUNCT
fcis-30253	187	5	4580	4580	NUM
fcis-30253	187	6	-	-	SYM
fcis-30253	187	7	4584	4584	NUM
fcis-30253	187	8	.	.	PUNCT
fcis-30253	188	1	[	[	X
fcis-30253	188	2	14	14	NUM
fcis-30253	188	3	]	]	X
fcis-30253	188	4	mingfei	mingfei	PROPN
fcis-30253	188	5	zhang	zhang	PROPN
fcis-30253	188	6	,	,	PUNCT
fcis-30253	188	7	zhoutao	zhoutao	PROPN
fcis-30253	188	8	yu	yu	PROPN
fcis-30253	188	9	,	,	PUNCT
fcis-30253	188	10	zhenghua	zhenghua	PROPN
fcis-30253	188	11	xu	xu	PROPN
fcis-30253	188	12	.	.	PUNCT
fcis-30253	189	1	short	short	ADJ
fcis-30253	189	2	-	-	PUNCT
fcis-30253	189	3	term	term	NOUN
fcis-30253	189	4	load	load	NOUN
fcis-30253	189	5	forecasting	forecast	VERB
fcis-30253	189	6	usingrecurrent	usingrecurrent	NOUN
fcis-30253	189	7	neural	neural	ADJ
fcis-30253	189	8	networks	network	NOUN
fcis-30253	189	9	with	with	ADP
fcis-30253	189	10	input	input	NOUN
fcis-30253	189	11	attention	attention	NOUN
fcis-30253	189	12	mechanism	mechanism	NOUN
fcis-30253	189	13	and	and	CCONJ
fcis-30253	189	14	hidden	hide	VERB
fcis-30253	189	15	connection	connection	NOUN
fcis-30253	189	16	mechanism[j	mechanism[j	PROPN
fcis-30253	189	17	]	]	PUNCT
fcis-30253	189	18	.	.	PUNCT
fcis-30253	190	1	ieee	ieee	NOUN
fcis-30253	190	2	access	access	NOUN
fcis-30253	190	3	,	,	PUNCT
fcis-30253	190	4	2020	2020	NUM
fcis-30253	190	5	,	,	PUNCT
fcis-30253	190	6	8	8	NUM
fcis-30253	190	7	:	:	SYM
fcis-30253	190	8	186514	186514	NUM
fcis-30253	190	9	-	-	SYM
fcis-30253	190	10	186529	186529	NUM
fcis-30253	190	11	.	.	PUNCT