id	sid	tid	token	lemma	pos
ajst-29857	1	1	academic	academic	ADJ
ajst-29857	1	2	journal	journal	NOUN
ajst-29857	1	3	of	of	ADP
ajst-29857	1	4	science	science	NOUN
ajst-29857	1	5	and	and	CCONJ
ajst-29857	1	6	technology	technology	NOUN
ajst-29857	1	7	issn	issn	NOUN
ajst-29857	1	8	:	:	PUNCT
ajst-29857	1	9	2771	2771	NUM
ajst-29857	1	10	-	-	SYM
ajst-29857	1	11	3032	3032	NUM
ajst-29857	1	12	|	|	NOUN
ajst-29857	1	13	vol	vol	NOUN
ajst-29857	1	14	.	.	PUNCT
ajst-29857	2	1	14	14	NUM
ajst-29857	2	2	,	,	PUNCT
ajst-29857	2	3	no	no	INTJ
ajst-29857	2	4	.	.	NOUN
ajst-29857	2	5	2	2	NUM
ajst-29857	2	6	,	,	PUNCT
ajst-29857	2	7	2025	2025	NUM
ajst-29857	2	8	70	70	NUM
ajst-29857	2	9	on‐time	on‐time	NOUN
ajst-29857	2	10	extraction	extraction	NOUN
ajst-29857	2	11	of	of	ADP
ajst-29857	2	12	ultrasonic	ultrasonic	ADJ
ajst-29857	2	13	waves	wave	NOUN
ajst-29857	2	14	based	base	VERB
ajst-29857	2	15	on	on	ADP
ajst-29857	2	16	wavelet	wavelet	NOUN
ajst-29857	2	17	transform	transform	NOUN
ajst-29857	2	18	and	and	CCONJ
ajst-29857	2	19	aic	aic	PROPN
ajst-29857	2	20	criterion	criterion	NOUN
ajst-29857	2	21	jie	jie	PROPN
ajst-29857	2	22	chen	chen	PROPN
ajst-29857	2	23	,	,	PUNCT
ajst-29857	2	24	min	min	PROPN
ajst-29857	2	25	wan	wan	PROPN
ajst-29857	2	26	school	school	PROPN
ajst-29857	2	27	of	of	ADP
ajst-29857	2	28	mechatronic	mechatronic	ADJ
ajst-29857	2	29	engineering	engineering	NOUN
ajst-29857	2	30	,	,	PUNCT
ajst-29857	2	31	southwest	southwest	ADJ
ajst-29857	2	32	petroleum	petroleum	PROPN
ajst-29857	2	33	university	university	PROPN
ajst-29857	2	34	,	,	PUNCT
ajst-29857	2	35	chengdu	chengdu	PROPN
ajst-29857	2	36	610500	610500	NUM
ajst-29857	2	37	,	,	PUNCT
ajst-29857	2	38	china	china	PROPN
ajst-29857	2	39	abstract	abstract	NOUN
ajst-29857	2	40	:	:	PUNCT
ajst-29857	2	41	acoustic	acoustic	ADJ
ajst-29857	2	42	instruments	instrument	NOUN
ajst-29857	2	43	have	have	AUX
ajst-29857	2	44	become	become	VERB
ajst-29857	2	45	the	the	DET
ajst-29857	2	46	mainstream	mainstream	NOUN
ajst-29857	2	47	technology	technology	NOUN
ajst-29857	2	48	for	for	ADP
ajst-29857	2	49	downhole	downhole	NOUN
ajst-29857	2	50	parameter	parameter	NOUN
ajst-29857	2	51	measurement	measurement	NOUN
ajst-29857	2	52	due	due	ADP
ajst-29857	2	53	to	to	ADP
ajst-29857	2	54	their	their	PRON
ajst-29857	2	55	non	non	ADJ
ajst-29857	2	56	-	-	NOUN
ajst-29857	2	57	contact	contact	NOUN
ajst-29857	2	58	and	and	CCONJ
ajst-29857	2	59	high	high	ADJ
ajst-29857	2	60	-	-	PUNCT
ajst-29857	2	61	precision	precision	NOUN
ajst-29857	2	62	characteristics	characteristic	NOUN
ajst-29857	2	63	,	,	PUNCT
ajst-29857	2	64	but	but	CCONJ
ajst-29857	2	65	due	due	ADP
ajst-29857	2	66	to	to	ADP
ajst-29857	2	67	the	the	DET
ajst-29857	2	68	high	high	ADJ
ajst-29857	2	69	-	-	PUNCT
ajst-29857	2	70	noise	noise	NOUN
ajst-29857	2	71	environment	environment	NOUN
ajst-29857	2	72	in	in	ADP
ajst-29857	2	73	the	the	DET
ajst-29857	2	74	downhole	downhole	NOUN
ajst-29857	2	75	,	,	PUNCT
ajst-29857	2	76	the	the	DET
ajst-29857	2	77	accuracy	accuracy	NOUN
ajst-29857	2	78	of	of	ADP
ajst-29857	2	79	echo	echo	NOUN
ajst-29857	2	80	signal	signal	NOUN
ajst-29857	2	81	extraction	extraction	NOUN
ajst-29857	2	82	has	have	AUX
ajst-29857	2	83	always	always	ADV
ajst-29857	2	84	been	be	AUX
ajst-29857	2	85	low	low	ADJ
ajst-29857	2	86	.	.	PUNCT
ajst-29857	3	1	in	in	ADP
ajst-29857	3	2	this	this	DET
ajst-29857	3	3	paper	paper	NOUN
ajst-29857	3	4	,	,	PUNCT
ajst-29857	3	5	we	we	PRON
ajst-29857	3	6	propose	propose	VERB
ajst-29857	3	7	an	an	DET
ajst-29857	3	8	echo	echo	NOUN
ajst-29857	3	9	signal	signal	NOUN
ajst-29857	3	10	processing	processing	NOUN
ajst-29857	3	11	method	method	NOUN
ajst-29857	3	12	using	use	VERB
ajst-29857	3	13	wavelet	wavelet	NOUN
ajst-29857	3	14	transform	transform	NOUN
ajst-29857	3	15	and	and	CCONJ
ajst-29857	3	16	aic	aic	PROPN
ajst-29857	3	17	criterion	criterion	NOUN
ajst-29857	3	18	,	,	PUNCT
ajst-29857	3	19	which	which	PRON
ajst-29857	3	20	can	can	AUX
ajst-29857	3	21	accurately	accurately	ADV
ajst-29857	3	22	extract	extract	VERB
ajst-29857	3	23	the	the	DET
ajst-29857	3	24	arrival	arrival	NOUN
ajst-29857	3	25	time	time	NOUN
ajst-29857	3	26	of	of	ADP
ajst-29857	3	27	echo	echo	NOUN
ajst-29857	3	28	signals	signal	NOUN
ajst-29857	3	29	with	with	ADP
ajst-29857	3	30	low	low	ADJ
ajst-29857	3	31	signal	signal	NOUN
ajst-29857	3	32	-	-	PUNCT
ajst-29857	3	33	to	to	ADP
ajst-29857	3	34	-	-	PUNCT
ajst-29857	3	35	noise	noise	NOUN
ajst-29857	3	36	ratio	ratio	NOUN
ajst-29857	3	37	and	and	CCONJ
ajst-29857	3	38	improve	improve	VERB
ajst-29857	3	39	the	the	DET
ajst-29857	3	40	accuracy	accuracy	NOUN
ajst-29857	3	41	of	of	ADP
ajst-29857	3	42	measurement	measurement	NOUN
ajst-29857	3	43	instruments	instrument	NOUN
ajst-29857	3	44	.	.	PUNCT
ajst-29857	4	1	keywords	keyword	NOUN
ajst-29857	4	2	:	:	PUNCT
ajst-29857	4	3	wavelet	wavelet	NOUN
ajst-29857	4	4	transform	transform	NOUN
ajst-29857	4	5	;	;	PUNCT
ajst-29857	4	6	aic	aic	PROPN
ajst-29857	4	7	;	;	PUNCT
ajst-29857	4	8	ultrasonic	ultrasonic	ADJ
ajst-29857	4	9	waves	wave	NOUN
ajst-29857	4	10	.	.	PUNCT
ajst-29857	5	1	1	1	X
ajst-29857	5	2	.	.	X
ajst-29857	5	3	introduction	introduction	NOUN
ajst-29857	5	4	in	in	ADP
ajst-29857	5	5	recent	recent	ADJ
ajst-29857	5	6	years	year	NOUN
ajst-29857	5	7	,	,	PUNCT
ajst-29857	5	8	with	with	ADP
ajst-29857	5	9	the	the	DET
ajst-29857	5	10	development	development	NOUN
ajst-29857	5	11	of	of	ADP
ajst-29857	5	12	ultrasonic	ultrasonic	ADJ
ajst-29857	5	13	technology	technology	NOUN
ajst-29857	5	14	,	,	PUNCT
ajst-29857	5	15	it	it	PRON
ajst-29857	5	16	has	have	AUX
ajst-29857	5	17	gradually	gradually	ADV
ajst-29857	5	18	been	be	AUX
ajst-29857	5	19	applied	apply	VERB
ajst-29857	5	20	in	in	ADP
ajst-29857	5	21	the	the	DET
ajst-29857	5	22	field	field	NOUN
ajst-29857	5	23	of	of	ADP
ajst-29857	5	24	oil	oil	NOUN
ajst-29857	5	25	and	and	CCONJ
ajst-29857	5	26	gas	gas	NOUN
ajst-29857	5	27	well	well	NOUN
ajst-29857	5	28	drilling	drill	VERB
ajst-29857	5	29	for	for	ADP
ajst-29857	5	30	the	the	DET
ajst-29857	5	31	measurement	measurement	NOUN
ajst-29857	5	32	of	of	ADP
ajst-29857	5	33	some	some	DET
ajst-29857	5	34	complex	complex	ADJ
ajst-29857	5	35	parameters	parameter	NOUN
ajst-29857	5	36	.	.	PUNCT
ajst-29857	6	1	[	[	X
ajst-29857	6	2	1]particularly	1]particularly	ADV
ajst-29857	6	3	,	,	PUNCT
ajst-29857	6	4	the	the	DET
ajst-29857	6	5	downhole	downhole	ADJ
ajst-29857	6	6	ultrasonic	ultrasonic	ADJ
ajst-29857	6	7	imaging	imaging	NOUN
ajst-29857	6	8	technology	technology	NOUN
ajst-29857	6	9	during	during	ADP
ajst-29857	6	10	drilling	drilling	NOUN
ajst-29857	6	11	has	have	AUX
ajst-29857	6	12	attracted	attract	VERB
ajst-29857	6	13	increasing	increase	VERB
ajst-29857	6	14	attention	attention	NOUN
ajst-29857	6	15	from	from	ADP
ajst-29857	6	16	relevant	relevant	ADJ
ajst-29857	6	17	researchers	researcher	NOUN
ajst-29857	6	18	and	and	CCONJ
ajst-29857	6	19	technicians	technician	NOUN
ajst-29857	6	20	.	.	PUNCT
ajst-29857	7	1	in	in	ADP
ajst-29857	7	2	the	the	DET
ajst-29857	7	3	processing	processing	NOUN
ajst-29857	7	4	of	of	ADP
ajst-29857	7	5	ultrasonic	ultrasonic	ADJ
ajst-29857	7	6	echo	echo	NOUN
ajst-29857	7	7	data	datum	NOUN
ajst-29857	7	8	,	,	PUNCT
ajst-29857	7	9	the	the	DET
ajst-29857	7	10	picking	picking	NOUN
ajst-29857	7	11	of	of	ADP
ajst-29857	7	12	echo	echo	NOUN
ajst-29857	7	13	arrival	arrival	NOUN
ajst-29857	7	14	time	time	NOUN
ajst-29857	7	15	is	be	AUX
ajst-29857	7	16	a	a	DET
ajst-29857	7	17	crucial	crucial	ADJ
ajst-29857	7	18	step	step	NOUN
ajst-29857	7	19	,	,	PUNCT
ajst-29857	7	20	and	and	CCONJ
ajst-29857	7	21	the	the	DET
ajst-29857	7	22	accuracy	accuracy	NOUN
ajst-29857	7	23	of	of	ADP
ajst-29857	7	24	picking	pick	VERB
ajst-29857	7	25	directly	directly	ADV
ajst-29857	7	26	affects	affect	VERB
ajst-29857	7	27	the	the	DET
ajst-29857	7	28	measurement	measurement	NOUN
ajst-29857	7	29	position	position	NOUN
ajst-29857	7	30	accuracy	accuracy	NOUN
ajst-29857	7	31	of	of	ADP
ajst-29857	7	32	the	the	DET
ajst-29857	7	33	instrument	instrument	NOUN
ajst-29857	7	34	and	and	CCONJ
ajst-29857	7	35	the	the	DET
ajst-29857	7	36	final	final	ADJ
ajst-29857	7	37	imaging	imaging	NOUN
ajst-29857	7	38	effect	effect	NOUN
ajst-29857	7	39	.	.	PUNCT
ajst-29857	8	1	although	although	SCONJ
ajst-29857	8	2	manual	manual	ADJ
ajst-29857	8	3	identification	identification	NOUN
ajst-29857	8	4	and	and	CCONJ
ajst-29857	8	5	picking	picking	NOUN
ajst-29857	8	6	of	of	ADP
ajst-29857	8	7	echo	echo	NOUN
ajst-29857	8	8	arrival	arrival	NOUN
ajst-29857	8	9	time	time	NOUN
ajst-29857	8	10	is	be	AUX
ajst-29857	8	11	relatively	relatively	ADV
ajst-29857	8	12	stable	stable	ADJ
ajst-29857	8	13	,	,	PUNCT
ajst-29857	8	14	it	it	PRON
ajst-29857	8	15	is	be	AUX
ajst-29857	8	16	inefficient	inefficient	ADJ
ajst-29857	8	17	and	and	CCONJ
ajst-29857	8	18	lacks	lack	VERB
ajst-29857	8	19	real	real	ADJ
ajst-29857	8	20	-	-	PUNCT
ajst-29857	8	21	time	time	NOUN
ajst-29857	8	22	performance	performance	NOUN
ajst-29857	8	23	.	.	PUNCT
ajst-29857	9	1	therefore	therefore	ADV
ajst-29857	9	2	,	,	PUNCT
ajst-29857	9	3	many	many	ADJ
ajst-29857	9	4	scholars	scholar	NOUN
ajst-29857	9	5	at	at	ADP
ajst-29857	9	6	home	home	ADV
ajst-29857	9	7	and	and	CCONJ
ajst-29857	9	8	abroad	abroad	ADV
ajst-29857	9	9	have	have	AUX
ajst-29857	9	10	developed	develop	VERB
ajst-29857	9	11	various	various	ADJ
ajst-29857	9	12	methods	method	NOUN
ajst-29857	9	13	for	for	ADP
ajst-29857	9	14	processing	process	VERB
ajst-29857	9	15	downhole	downhole	NOUN
ajst-29857	9	16	ultrasonic	ultrasonic	ADJ
ajst-29857	9	17	echo	echo	NOUN
ajst-29857	9	18	signals	signal	NOUN
ajst-29857	9	19	and	and	CCONJ
ajst-29857	9	20	extracting	extract	VERB
ajst-29857	9	21	arrival	arrival	NOUN
ajst-29857	9	22	times	time	NOUN
ajst-29857	9	23	,	,	PUNCT
ajst-29857	9	24	such	such	ADJ
ajst-29857	9	25	as	as	ADP
ajst-29857	9	26	the	the	DET
ajst-29857	9	27	time	time	NOUN
ajst-29857	9	28	window	window	NOUN
ajst-29857	9	29	energy	energy	NOUN
ajst-29857	9	30	ratio	ratio	NOUN
ajst-29857	9	31	method	method	NOUN
ajst-29857	9	32	and	and	CCONJ
ajst-29857	9	33	the	the	DET
ajst-29857	9	34	time	time	NOUN
ajst-29857	9	35	window	window	NOUN
ajst-29857	9	36	amplitude	amplitude	NOUN
ajst-29857	9	37	ratio	ratio	NOUN
ajst-29857	9	38	method	method	NOUN
ajst-29857	9	39	,	,	PUNCT
ajst-29857	9	40	which	which	PRON
ajst-29857	9	41	are	be	AUX
ajst-29857	9	42	efficient	efficient	ADJ
ajst-29857	9	43	but	but	CCONJ
ajst-29857	9	44	have	have	VERB
ajst-29857	9	45	a	a	DET
ajst-29857	9	46	significant	significant	ADJ
ajst-29857	9	47	impact	impact	NOUN
ajst-29857	9	48	on	on	ADP
ajst-29857	9	49	picking	pick	VERB
ajst-29857	9	50	accuracy	accuracy	NOUN
ajst-29857	9	51	due	due	ADP
ajst-29857	9	52	to	to	ADP
ajst-29857	9	53	the	the	DET
ajst-29857	9	54	length	length	NOUN
ajst-29857	9	55	of	of	ADP
ajst-29857	9	56	the	the	DET
ajst-29857	9	57	time	time	NOUN
ajst-29857	9	58	window	window	NOUN
ajst-29857	9	59	;	;	PUNCT
ajst-29857	9	60	correlation	correlation	NOUN
ajst-29857	9	61	-	-	PUNCT
ajst-29857	9	62	based	base	VERB
ajst-29857	9	63	methods	method	NOUN
ajst-29857	9	64	,	,	PUNCT
ajst-29857	9	65	which	which	PRON
ajst-29857	9	66	utilize	utilize	VERB
ajst-29857	9	67	the	the	DET
ajst-29857	9	68	full	full	ADJ
ajst-29857	9	69	waveform	waveform	NOUN
ajst-29857	9	70	information	information	NOUN
ajst-29857	9	71	of	of	ADP
ajst-29857	9	72	the	the	DET
ajst-29857	9	73	signal	signal	NOUN
ajst-29857	9	74	,	,	PUNCT
ajst-29857	9	75	perform	perform	VERB
ajst-29857	9	76	well	well	ADV
ajst-29857	9	77	on	on	ADP
ajst-29857	9	78	weak	weak	ADJ
ajst-29857	9	79	signals	signal	NOUN
ajst-29857	9	80	with	with	ADP
ajst-29857	9	81	low	low	ADJ
ajst-29857	9	82	signal	signal	NOUN
ajst-29857	9	83	-	-	PUNCT
ajst-29857	9	84	to	to	ADP
ajst-29857	9	85	-	-	PUNCT
ajst-29857	9	86	noise	noise	NOUN
ajst-29857	9	87	ratios	ratio	NOUN
ajst-29857	9	88	;	;	PUNCT
ajst-29857	9	89	neural	neural	ADJ
ajst-29857	9	90	network	network	NOUN
ajst-29857	9	91	and	and	CCONJ
ajst-29857	9	92	fractal	fractal	ADJ
ajst-29857	9	93	picking	picking	NOUN
ajst-29857	9	94	methods	method	NOUN
ajst-29857	9	95	,	,	PUNCT
ajst-29857	9	96	which	which	PRON
ajst-29857	9	97	are	be	AUX
ajst-29857	9	98	complex	complex	ADJ
ajst-29857	9	99	and	and	CCONJ
ajst-29857	9	100	difficult	difficult	ADJ
ajst-29857	9	101	to	to	PART
ajst-29857	9	102	implement	implement	VERB
ajst-29857	9	103	,	,	PUNCT
ajst-29857	9	104	and	and	CCONJ
ajst-29857	9	105	have	have	VERB
ajst-29857	9	106	relatively	relatively	ADV
ajst-29857	9	107	low	low	ADJ
ajst-29857	9	108	efficiency	efficiency	NOUN
ajst-29857	9	109	;	;	PUNCT
ajst-29857	9	110	edge	edge	NOUN
ajst-29857	9	111	detection	detection	NOUN
ajst-29857	9	112	and	and	CCONJ
ajst-29857	9	113	boundary	boundary	ADJ
ajst-29857	9	114	tracking	tracking	NOUN
ajst-29857	9	115	methods	method	NOUN
ajst-29857	9	116	,	,	PUNCT
ajst-29857	9	117	which	which	PRON
ajst-29857	9	118	have	have	VERB
ajst-29857	9	119	larger	large	ADJ
ajst-29857	9	120	picking	pick	VERB
ajst-29857	9	121	errors	error	NOUN
ajst-29857	9	122	in	in	ADP
ajst-29857	9	123	low	low	ADJ
ajst-29857	9	124	signal	signal	NOUN
ajst-29857	9	125	-	-	PUNCT
ajst-29857	9	126	to	to	ADP
ajst-29857	9	127	-	-	PUNCT
ajst-29857	9	128	noise	noise	NOUN
ajst-29857	9	129	ratio	ratio	NOUN
ajst-29857	9	130	conditions	condition	NOUN
ajst-29857	9	131	;	;	PUNCT
ajst-29857	9	132	the	the	DET
ajst-29857	9	133	araic	araic	PROPN
ajst-29857	9	134	method	method	NOUN
ajst-29857	9	135	based	base	VERB
ajst-29857	9	136	on	on	ADP
ajst-29857	9	137	the	the	DET
ajst-29857	9	138	ar	ar	NOUN
ajst-29857	9	139	model	model	NOUN
ajst-29857	9	140	and	and	CCONJ
ajst-29857	9	141	akaike	akaike	ADJ
ajst-29857	9	142	information	information	NOUN
ajst-29857	9	143	criterion	criterion	NOUN
ajst-29857	9	144	;	;	PUNCT
ajst-29857	9	145	and	and	CCONJ
ajst-29857	9	146	the	the	DET
ajst-29857	9	147	wavelet	wavelet	NOUN
ajst-29857	9	148	transform	transform	NOUN
ajst-29857	9	149	method	method	NOUN
ajst-29857	9	150	.	.	PUNCT
ajst-29857	10	1	based	base	VERB
ajst-29857	10	2	on	on	ADP
ajst-29857	10	3	the	the	DET
ajst-29857	10	4	above	above	NOUN
ajst-29857	10	5	,	,	PUNCT
ajst-29857	10	6	this	this	DET
ajst-29857	10	7	paper	paper	NOUN
ajst-29857	10	8	proposes	propose	VERB
ajst-29857	10	9	a	a	DET
ajst-29857	10	10	two	two	NUM
ajst-29857	10	11	-	-	PUNCT
ajst-29857	10	12	step	step	NOUN
ajst-29857	10	13	automatic	automatic	ADJ
ajst-29857	10	14	echo	echo	NOUN
ajst-29857	10	15	arrival	arrival	NOUN
ajst-29857	10	16	time	time	NOUN
ajst-29857	10	17	extraction	extraction	NOUN
ajst-29857	10	18	method	method	NOUN
ajst-29857	10	19	that	that	PRON
ajst-29857	10	20	combines	combine	VERB
ajst-29857	10	21	wavelet	wavelet	NOUN
ajst-29857	10	22	transform	transform	NOUN
ajst-29857	10	23	and	and	CCONJ
ajst-29857	10	24	aic	aic	PROPN
ajst-29857	10	25	criterion	criterion	NOUN
ajst-29857	10	26	.	.	PUNCT
ajst-29857	11	1	firstly	firstly	ADV
ajst-29857	11	2	,	,	PUNCT
ajst-29857	11	3	the	the	DET
ajst-29857	11	4	wavelet	wavelet	NOUN
ajst-29857	11	5	transform	transform	NOUN
ajst-29857	11	6	is	be	AUX
ajst-29857	11	7	used	use	VERB
ajst-29857	11	8	to	to	PART
ajst-29857	11	9	roughly	roughly	ADV
ajst-29857	11	10	determine	determine	VERB
ajst-29857	11	11	the	the	DET
ajst-29857	11	12	position	position	NOUN
ajst-29857	11	13	of	of	ADP
ajst-29857	11	14	the	the	DET
ajst-29857	11	15	echo	echo	NOUN
ajst-29857	11	16	arrival	arrival	NOUN
ajst-29857	11	17	time	time	NOUN
ajst-29857	11	18	,	,	PUNCT
ajst-29857	11	19	and	and	CCONJ
ajst-29857	11	20	then	then	ADV
ajst-29857	11	21	the	the	DET
ajst-29857	11	22	aic	aic	PROPN
ajst-29857	11	23	criterion	criterion	NOUN
ajst-29857	11	24	is	be	AUX
ajst-29857	11	25	locally	locally	ADV
ajst-29857	11	26	applied	apply	VERB
ajst-29857	11	27	to	to	PART
ajst-29857	11	28	precisely	precisely	ADV
ajst-29857	11	29	extract	extract	VERB
ajst-29857	11	30	the	the	DET
ajst-29857	11	31	arrival	arrival	NOUN
ajst-29857	11	32	time	time	NOUN
ajst-29857	11	33	point	point	NOUN
ajst-29857	11	34	.	.	PUNCT
ajst-29857	12	1	through	through	ADP
ajst-29857	12	2	analysis	analysis	NOUN
ajst-29857	12	3	and	and	CCONJ
ajst-29857	12	4	testing	testing	NOUN
ajst-29857	12	5	on	on	ADP
ajst-29857	12	6	real	real	ADJ
ajst-29857	12	7	data	datum	NOUN
ajst-29857	12	8	,	,	PUNCT
ajst-29857	12	9	this	this	DET
ajst-29857	12	10	algorithm	algorithm	NOUN
ajst-29857	12	11	has	have	VERB
ajst-29857	12	12	high	high	ADJ
ajst-29857	12	13	extraction	extraction	NOUN
ajst-29857	12	14	accuracy	accuracy	NOUN
ajst-29857	12	15	and	and	CCONJ
ajst-29857	12	16	the	the	DET
ajst-29857	12	17	advantages	advantage	NOUN
ajst-29857	12	18	of	of	ADP
ajst-29857	12	19	fast	fast	ADJ
ajst-29857	12	20	speed	speed	NOUN
ajst-29857	12	21	and	and	CCONJ
ajst-29857	12	22	simple	simple	ADJ
ajst-29857	12	23	implementation	implementation	NOUN
ajst-29857	12	24	.	.	PUNCT
ajst-29857	13	1	2	2	X
ajst-29857	13	2	.	.	X
ajst-29857	13	3	the	the	DET
ajst-29857	13	4	principle	principle	NOUN
ajst-29857	13	5	of	of	ADP
ajst-29857	13	6	wavelet	wavelet	NOUN
ajst-29857	13	7	transform	transform	NOUN
ajst-29857	13	8	ultrasonic	ultrasonic	ADJ
ajst-29857	13	9	echo	echo	NOUN
ajst-29857	13	10	signals	signal	NOUN
ajst-29857	13	11	are	be	AUX
ajst-29857	13	12	considered	consider	VERB
ajst-29857	13	13	non	non	ADJ
ajst-29857	13	14	-	-	ADJ
ajst-29857	13	15	stationary	stationary	ADJ
ajst-29857	13	16	.	.	PUNCT
ajst-29857	14	1	its	its	PRON
ajst-29857	14	2	characteristic	characteristic	NOUN
ajst-29857	14	3	is	be	AUX
ajst-29857	14	4	that	that	SCONJ
ajst-29857	14	5	it	it	PRON
ajst-29857	14	6	has	have	VERB
ajst-29857	14	7	two	two	NUM
ajst-29857	14	8	parts	part	NOUN
ajst-29857	14	9	:	:	PUNCT
ajst-29857	14	10	one	one	NUM
ajst-29857	14	11	is	be	AUX
ajst-29857	14	12	the	the	DET
ajst-29857	14	13	noise	noise	NOUN
ajst-29857	14	14	part	part	NOUN
ajst-29857	14	15	before	before	SCONJ
ajst-29857	14	16	the	the	DET
ajst-29857	14	17	signal	signal	NOUN
ajst-29857	14	18	arrives	arrive	VERB
ajst-29857	14	19	,	,	PUNCT
ajst-29857	14	20	and	and	CCONJ
ajst-29857	14	21	the	the	DET
ajst-29857	14	22	other	other	ADJ
ajst-29857	14	23	is	be	AUX
ajst-29857	14	24	the	the	DET
ajst-29857	14	25	effective	effective	ADJ
ajst-29857	14	26	part	part	NOUN
ajst-29857	14	27	after	after	SCONJ
ajst-29857	14	28	the	the	DET
ajst-29857	14	29	signal	signal	NOUN
ajst-29857	14	30	arrives	arrive	VERB
ajst-29857	14	31	.	.	PUNCT
ajst-29857	15	1	due	due	ADP
ajst-29857	15	2	to	to	ADP
ajst-29857	15	3	the	the	DET
ajst-29857	15	4	fact	fact	NOUN
ajst-29857	15	5	that	that	SCONJ
ajst-29857	15	6	the	the	DET
ajst-29857	15	7	sound	sound	ADJ
ajst-29857	15	8	signal	signal	NOUN
ajst-29857	15	9	excited	excite	VERB
ajst-29857	15	10	by	by	ADP
ajst-29857	15	11	the	the	DET
ajst-29857	15	12	ultrasonic	ultrasonic	ADJ
ajst-29857	15	13	transducer	transducer	NOUN
ajst-29857	15	14	has	have	AUX
ajst-29857	15	15	a	a	DET
ajst-29857	15	16	single	single	ADJ
ajst-29857	15	17	frequency	frequency	NOUN
ajst-29857	15	18	,	,	PUNCT
ajst-29857	15	19	the	the	DET
ajst-29857	15	20	echo	echo	NOUN
ajst-29857	15	21	signal	signal	NOUN
ajst-29857	15	22	is	be	AUX
ajst-29857	15	23	also	also	ADV
ajst-29857	15	24	a	a	DET
ajst-29857	15	25	single	single	ADJ
ajst-29857	15	26	frequency	frequency	NOUN
ajst-29857	15	27	.	.	PUNCT
ajst-29857	16	1	figure	figure	NOUN
ajst-29857	16	2	1	1	NUM
ajst-29857	16	3	illustrates	illustrate	VERB
ajst-29857	16	4	a	a	DET
ajst-29857	16	5	typical	typical	ADJ
ajst-29857	16	6	echo	echo	NOUN
ajst-29857	16	7	signal	signal	NOUN
ajst-29857	16	8	.	.	PUNCT
ajst-29857	17	1	noise	noise	NOUN
ajst-29857	17	2	is	be	AUX
ajst-29857	17	3	considered	consider	VERB
ajst-29857	17	4	random	random	ADJ
ajst-29857	17	5	and	and	CCONJ
ajst-29857	17	6	independent	independent	ADJ
ajst-29857	17	7	of	of	ADP
ajst-29857	17	8	the	the	DET
ajst-29857	17	9	echo	echo	NOUN
ajst-29857	17	10	signal	signal	NOUN
ajst-29857	17	11	,	,	PUNCT
ajst-29857	17	12	and	and	CCONJ
ajst-29857	17	13	is	be	AUX
ajst-29857	17	14	sampled	sample	VERB
ajst-29857	17	15	by	by	ADP
ajst-29857	17	16	the	the	DET
ajst-29857	17	17	sensor	sensor	NOUN
ajst-29857	17	18	before	before	SCONJ
ajst-29857	17	19	the	the	DET
ajst-29857	17	20	echo	echo	NOUN
ajst-29857	17	21	signal	signal	NOUN
ajst-29857	17	22	arrives	arrive	VERB
ajst-29857	17	23	.	.	PUNCT
ajst-29857	18	1	sensors	sensor	NOUN
ajst-29857	18	2	are	be	AUX
ajst-29857	18	3	based	base	VERB
ajst-29857	18	4	on	on	ADP
ajst-29857	18	5	mechanical	mechanical	ADJ
ajst-29857	18	6	principles	principle	NOUN
ajst-29857	18	7	and	and	CCONJ
ajst-29857	18	8	generate	generate	VERB
ajst-29857	18	9	tail	tail	NOUN
ajst-29857	18	10	vibrations	vibration	NOUN
ajst-29857	18	11	,	,	PUNCT
ajst-29857	18	12	which	which	PRON
ajst-29857	18	13	makes	make	VERB
ajst-29857	18	14	it	it	PRON
ajst-29857	18	15	impossible	impossible	ADJ
ajst-29857	18	16	for	for	SCONJ
ajst-29857	18	17	the	the	DET
ajst-29857	18	18	echo	echo	NOUN
ajst-29857	18	19	to	to	PART
ajst-29857	18	20	correspond	correspond	VERB
ajst-29857	18	21	to	to	ADP
ajst-29857	18	22	the	the	DET
ajst-29857	18	23	transmitted	transmit	VERB
ajst-29857	18	24	sound	sound	NOUN
ajst-29857	18	25	waves	wave	NOUN
ajst-29857	18	26	after	after	ADP
ajst-29857	18	27	receiving	receive	VERB
ajst-29857	18	28	ultrasonic	ultrasonic	ADJ
ajst-29857	18	29	signals	signal	NOUN
ajst-29857	18	30	,	,	PUNCT
ajst-29857	18	31	as	as	SCONJ
ajst-29857	18	32	shown	show	VERB
ajst-29857	18	33	in	in	ADP
ajst-29857	18	34	figure	figure	NOUN
ajst-29857	18	35	1	1	NUM
ajst-29857	18	36	.	.	PUNCT
ajst-29857	19	1	therefore	therefore	ADV
ajst-29857	19	2	,	,	PUNCT
ajst-29857	19	3	the	the	DET
ajst-29857	19	4	best	good	ADJ
ajst-29857	19	5	method	method	NOUN
ajst-29857	19	6	for	for	ADP
ajst-29857	19	7	identifying	identify	VERB
ajst-29857	19	8	ultrasound	ultrasound	ADJ
ajst-29857	19	9	echo	echo	NOUN
ajst-29857	19	10	signals	signal	NOUN
ajst-29857	19	11	is	be	AUX
ajst-29857	19	12	to	to	PART
ajst-29857	19	13	determine	determine	VERB
ajst-29857	19	14	the	the	DET
ajst-29857	19	15	arrival	arrival	NOUN
ajst-29857	19	16	time	time	NOUN
ajst-29857	19	17	of	of	ADP
ajst-29857	19	18	the	the	DET
ajst-29857	19	19	first	first	ADJ
ajst-29857	19	20	wave	wave	NOUN
ajst-29857	19	21	.	.	PUNCT
ajst-29857	20	1	however	however	ADV
ajst-29857	20	2	,	,	PUNCT
ajst-29857	20	3	within	within	ADP
ajst-29857	20	4	the	the	DET
ajst-29857	20	5	frequency	frequency	NOUN
ajst-29857	20	6	range	range	NOUN
ajst-29857	20	7	,	,	PUNCT
ajst-29857	20	8	there	there	PRON
ajst-29857	20	9	is	be	VERB
ajst-29857	20	10	a	a	DET
ajst-29857	20	11	significant	significant	ADJ
ajst-29857	20	12	overlap	overlap	NOUN
ajst-29857	20	13	in	in	ADP
ajst-29857	20	14	the	the	DET
ajst-29857	20	15	spectra	spectra	NOUN
ajst-29857	20	16	of	of	ADP
ajst-29857	20	17	noise	noise	NOUN
ajst-29857	20	18	and	and	CCONJ
ajst-29857	20	19	echo	echo	NOUN
ajst-29857	20	20	signals	signal	NOUN
ajst-29857	20	21	.	.	PUNCT
ajst-29857	21	1	in	in	ADP
ajst-29857	21	2	complex	complex	ADJ
ajst-29857	21	3	environments	environment	NOUN
ajst-29857	21	4	,	,	PUNCT
ajst-29857	21	5	noise	noise	NOUN
ajst-29857	21	6	sources	source	NOUN
ajst-29857	21	7	such	such	ADJ
ajst-29857	21	8	as	as	ADP
ajst-29857	21	9	strong	strong	ADJ
ajst-29857	21	10	electromagnetic	electromagnetic	ADJ
ajst-29857	21	11	fields	field	NOUN
ajst-29857	21	12	and	and	CCONJ
ajst-29857	21	13	high	high	ADJ
ajst-29857	21	14	temperatures	temperature	NOUN
ajst-29857	21	15	inevitably	inevitably	ADV
ajst-29857	21	16	interfere	interfere	VERB
ajst-29857	21	17	with	with	ADP
ajst-29857	21	18	instruments	instrument	NOUN
ajst-29857	21	19	.	.	PUNCT
ajst-29857	22	1	figure	figure	NOUN
ajst-29857	22	2	2	2	NUM
ajst-29857	22	3	shows	show	VERB
ajst-29857	22	4	a	a	DET
ajst-29857	22	5	typical	typical	ADJ
ajst-29857	22	6	set	set	NOUN
ajst-29857	22	7	of	of	ADP
ajst-29857	22	8	electromagnetic	electromagnetic	ADJ
ajst-29857	22	9	interference	interference	NOUN
ajst-29857	22	10	ultrasonic	ultrasonic	ADJ
ajst-29857	22	11	echo	echo	NOUN
ajst-29857	22	12	signals	signal	NOUN
ajst-29857	22	13	.	.	PUNCT
ajst-29857	23	1	in	in	ADP
ajst-29857	23	2	figure	figure	NOUN
ajst-29857	23	3	2	2	NUM
ajst-29857	23	4	(	(	PUNCT
ajst-29857	23	5	a	a	NOUN
ajst-29857	23	6	)	)	PUNCT
ajst-29857	23	7	,	,	PUNCT
ajst-29857	23	8	the	the	DET
ajst-29857	23	9	amplitude	amplitude	NOUN
ajst-29857	23	10	of	of	ADP
ajst-29857	23	11	the	the	DET
ajst-29857	23	12	background	background	NOUN
ajst-29857	23	13	noise	noise	NOUN
ajst-29857	23	14	has	have	AUX
ajst-29857	23	15	exceeded	exceed	VERB
ajst-29857	23	16	that	that	PRON
ajst-29857	23	17	of	of	ADP
ajst-29857	23	18	the	the	DET
ajst-29857	23	19	first	first	ADJ
ajst-29857	23	20	wave	wave	NOUN
ajst-29857	23	21	,	,	PUNCT
ajst-29857	23	22	and	and	CCONJ
ajst-29857	23	23	due	due	ADP
ajst-29857	23	24	to	to	ADP
ajst-29857	23	25	electromagnetic	electromagnetic	ADJ
ajst-29857	23	26	interference	interference	NOUN
ajst-29857	23	27	,	,	PUNCT
ajst-29857	23	28	the	the	DET
ajst-29857	23	29	echo	echo	NOUN
ajst-29857	23	30	waveform	waveform	NOUN
ajst-29857	23	31	shows	show	VERB
ajst-29857	23	32	some	some	DET
ajst-29857	23	33	distortion	distortion	NOUN
ajst-29857	23	34	.	.	PUNCT
ajst-29857	24	1	the	the	DET
ajst-29857	24	2	background	background	NOUN
ajst-29857	24	3	noise	noise	NOUN
ajst-29857	24	4	spectrum	spectrum	NOUN
ajst-29857	24	5	is	be	AUX
ajst-29857	24	6	distributed	distribute	VERB
ajst-29857	24	7	throughout	throughout	ADP
ajst-29857	24	8	the	the	DET
ajst-29857	24	9	entire	entire	ADJ
ajst-29857	24	10	frequency	frequency	NOUN
ajst-29857	24	11	domain	domain	NOUN
ajst-29857	24	12	,	,	PUNCT
ajst-29857	24	13	as	as	SCONJ
ajst-29857	24	14	shown	show	VERB
ajst-29857	24	15	in	in	ADP
ajst-29857	24	16	figure	figure	NOUN
ajst-29857	24	17	2(b	2(b	NUM
ajst-29857	24	18	)	)	PUNCT
ajst-29857	24	19	,	,	PUNCT
ajst-29857	24	20	indicating	indicate	VERB
ajst-29857	24	21	that	that	SCONJ
ajst-29857	24	22	the	the	DET
ajst-29857	24	23	arrival	arrival	NOUN
ajst-29857	24	24	time	time	NOUN
ajst-29857	24	25	of	of	ADP
ajst-29857	24	26	the	the	DET
ajst-29857	24	27	first	first	ADJ
ajst-29857	24	28	wave	wave	NOUN
ajst-29857	24	29	can	can	AUX
ajst-29857	24	30	not	not	PART
ajst-29857	24	31	be	be	AUX
ajst-29857	24	32	clearly	clearly	ADV
ajst-29857	24	33	identified	identify	VERB
ajst-29857	24	34	and	and	CCONJ
ajst-29857	24	35	the	the	DET
ajst-29857	24	36	filter	filter	NOUN
ajst-29857	24	37	can	can	AUX
ajst-29857	24	38	not	not	PART
ajst-29857	24	39	effectively	effectively	ADV
ajst-29857	24	40	eliminate	eliminate	VERB
ajst-29857	24	41	the	the	DET
ajst-29857	24	42	noise.3	noise.3	ADJ
ajst-29857	24	43	system	system	NOUN
ajst-29857	24	44	overall	overall	ADJ
ajst-29857	24	45	scheme	scheme	NOUN
ajst-29857	24	46	design[2	design[2	PROPN
ajst-29857	24	47	]	]	PUNCT
ajst-29857	24	48	.	.	PUNCT
ajst-29857	25	1	in	in	ADP
ajst-29857	25	2	order	order	NOUN
ajst-29857	25	3	to	to	PART
ajst-29857	25	4	accurately	accurately	ADV
ajst-29857	25	5	determine	determine	VERB
ajst-29857	25	6	the	the	DET
ajst-29857	25	7	arrival	arrival	NOUN
ajst-29857	25	8	time	time	NOUN
ajst-29857	25	9	of	of	ADP
ajst-29857	25	10	the	the	DET
ajst-29857	25	11	first	first	ADJ
ajst-29857	25	12	wave	wave	NOUN
ajst-29857	25	13	in	in	ADP
ajst-29857	25	14	noise	noise	NOUN
ajst-29857	25	15	,	,	PUNCT
ajst-29857	25	16	it	it	PRON
ajst-29857	25	17	is	be	AUX
ajst-29857	25	18	necessary	necessary	ADJ
ajst-29857	25	19	to	to	PART
ajst-29857	25	20	utilize	utilize	VERB
ajst-29857	25	21	parameters	parameter	NOUN
ajst-29857	25	22	that	that	PRON
ajst-29857	25	23	have	have	VERB
ajst-29857	25	24	distinct	distinct	ADJ
ajst-29857	25	25	characteristics	characteristic	NOUN
ajst-29857	25	26	when	when	SCONJ
ajst-29857	25	27	the	the	DET
ajst-29857	25	28	first	first	ADJ
ajst-29857	25	29	wave	wave	NOUN
ajst-29857	25	30	arrives	arrive	VERB
ajst-29857	25	31	.	.	PUNCT
ajst-29857	26	1	as	as	SCONJ
ajst-29857	26	2	mentioned	mention	VERB
ajst-29857	26	3	above	above	ADV
ajst-29857	26	4	,	,	PUNCT
ajst-29857	26	5	it	it	PRON
ajst-29857	26	6	can	can	AUX
ajst-29857	26	7	be	be	AUX
ajst-29857	26	8	seen	see	VERB
ajst-29857	26	9	that	that	SCONJ
ajst-29857	26	10	when	when	SCONJ
ajst-29857	26	11	the	the	DET
ajst-29857	26	12	echo	echo	NOUN
ajst-29857	26	13	arrives	arrive	VERB
ajst-29857	26	14	,	,	PUNCT
ajst-29857	26	15	the	the	DET
ajst-29857	26	16	frequency	frequency	NOUN
ajst-29857	26	17	of	of	ADP
ajst-29857	26	18	the	the	DET
ajst-29857	26	19	signal	signal	NOUN
ajst-29857	26	20	changes	change	NOUN
ajst-29857	26	21	significantly	significantly	ADV
ajst-29857	26	22	,	,	PUNCT
ajst-29857	26	23	so	so	CCONJ
ajst-29857	26	24	joint	joint	ADJ
ajst-29857	26	25	time	time	NOUN
ajst-29857	26	26	-	-	PUNCT
ajst-29857	26	27	frequency	frequency	NOUN
ajst-29857	26	28	analysis	analysis	NOUN
ajst-29857	26	29	can	can	AUX
ajst-29857	26	30	be	be	AUX
ajst-29857	26	31	used	use	VERB
ajst-29857	26	32	to	to	PART
ajst-29857	26	33	estimate	estimate	VERB
ajst-29857	26	34	the	the	DET
ajst-29857	26	35	arrival	arrival	NOUN
ajst-29857	26	36	time	time	NOUN
ajst-29857	26	37	of	of	ADP
ajst-29857	26	38	the	the	DET
ajst-29857	26	39	first	first	ADJ
ajst-29857	26	40	wave	wave	NOUN
ajst-29857	26	41	.	.	PUNCT
ajst-29857	27	1	when	when	SCONJ
ajst-29857	27	2	the	the	DET
ajst-29857	27	3	echo	echo	NOUN
ajst-29857	27	4	signal	signal	NOUN
ajst-29857	27	5	arrives	arrive	VERB
ajst-29857	27	6	,	,	PUNCT
ajst-29857	27	7	the	the	DET
ajst-29857	27	8	frequency	frequency	NOUN
ajst-29857	27	9	of	of	ADP
ajst-29857	27	10	the	the	DET
ajst-29857	27	11	signal	signal	NOUN
ajst-29857	27	12	increases	increase	VERB
ajst-29857	27	13	rapidly	rapidly	ADV
ajst-29857	27	14	over	over	ADP
ajst-29857	27	15	time	time	NOUN
ajst-29857	27	16	,	,	PUNCT
ajst-29857	27	17	which	which	PRON
ajst-29857	27	18	means	mean	VERB
ajst-29857	27	19	that	that	SCONJ
ajst-29857	27	20	when	when	SCONJ
ajst-29857	27	21	the	the	DET
ajst-29857	27	22	first	first	ADJ
ajst-29857	27	23	wave	wave	NOUN
ajst-29857	27	24	arrives	arrive	VERB
ajst-29857	27	25	,	,	PUNCT
ajst-29857	27	26	joint	joint	ADJ
ajst-29857	27	27	time	time	NOUN
ajst-29857	27	28	-	-	PUNCT
ajst-29857	27	29	frequency	frequency	NOUN
ajst-29857	27	30	analysis	analysis	NOUN
ajst-29857	27	31	requires	require	VERB
ajst-29857	27	32	good	good	ADJ
ajst-29857	27	33	time	time	NOUN
ajst-29857	27	34	resolution	resolution	NOUN
ajst-29857	27	35	to	to	PART
ajst-29857	27	36	provide	provide	VERB
ajst-29857	27	37	accurate	accurate	ADJ
ajst-29857	27	38	time	time	NOUN
ajst-29857	27	39	-	-	PUNCT
ajst-29857	27	40	frequency	frequency	NOUN
ajst-29857	27	41	positioning	positioning	NOUN
ajst-29857	27	42	.	.	PUNCT
ajst-29857	28	1	this	this	PRON
ajst-29857	28	2	can	can	AUX
ajst-29857	28	3	be	be	AUX
ajst-29857	28	4	achieved	achieve	VERB
ajst-29857	28	5	by	by	ADP
ajst-29857	28	6	preprocessing	preprocesse	VERB
ajst-29857	28	7	the	the	DET
ajst-29857	28	8	signal	signal	NOUN
ajst-29857	28	9	through	through	ADP
ajst-29857	28	10	wavelet	wavelet	NOUN
ajst-29857	28	11	transform	transform	NOUN
ajst-29857	28	12	,	,	PUNCT
ajst-29857	28	13	which	which	PRON
ajst-29857	28	14	involves	involve	VERB
ajst-29857	28	15	using	use	VERB
ajst-29857	28	16	the	the	DET
ajst-29857	28	17	signal	signal	ADJ
ajst-29857	28	18	time	time	NOUN
ajst-29857	28	19	-	-	PUNCT
ajst-29857	28	20	frequency	frequency	NOUN
ajst-29857	28	21	spectrum	spectrum	NOUN
ajst-29857	28	22	to	to	PART
ajst-29857	28	23	perform	perform	VERB
ajst-29857	28	24	time	time	NOUN
ajst-29857	28	25	-	-	PUNCT
ajst-29857	28	26	frequency	frequency	NOUN
ajst-29857	28	27	analysis	analysis	NOUN
ajst-29857	28	28	and	and	CCONJ
ajst-29857	28	29	obtain	obtain	VERB
ajst-29857	28	30	the	the	DET
ajst-29857	28	31	distribution	distribution	NOUN
ajst-29857	28	32	relationship	relationship	NOUN
ajst-29857	28	33	between	between	ADP
ajst-29857	28	34	time	time	NOUN
ajst-29857	28	35	,	,	PUNCT
ajst-29857	28	36	frequency	frequency	NOUN
ajst-29857	28	37	,	,	PUNCT
ajst-29857	28	38	and	and	CCONJ
ajst-29857	28	39	energy.[3	energy.[3	NOUN
ajst-29857	28	40	]	]	X
ajst-29857	28	41	wavelet	wavelet	NOUN
ajst-29857	28	42	transform	transform	NOUN
ajst-29857	28	43	can	can	AUX
ajst-29857	28	44	provide	provide	VERB
ajst-29857	28	45	a	a	DET
ajst-29857	28	46	time	time	NOUN
ajst-29857	28	47	-	-	PUNCT
ajst-29857	28	48	frequency	frequency	NOUN
ajst-29857	28	49	window	window	NOUN
ajst-29857	28	50	that	that	PRON
ajst-29857	28	51	varies	vary	VERB
ajst-29857	28	52	with	with	ADP
ajst-29857	28	53	frequency	frequency	NOUN
ajst-29857	28	54	,	,	PUNCT
ajst-29857	28	55	and	and	CCONJ
ajst-29857	28	56	the	the	DET
ajst-29857	28	57	definition	definition	NOUN
ajst-29857	28	58	of	of	ADP
ajst-29857	28	59	continuous	continuous	ADJ
ajst-29857	28	60	mwt	mwt	PROPN
ajst-29857	28	61	is	be	AUX
ajst-29857	28	62	expressed	express	VERB
ajst-29857	28	63	as	as	ADP
ajst-29857	28	64	71	71	NUM
ajst-29857	28	65	figure	figure	NOUN
ajst-29857	28	66	1	1	NUM
ajst-29857	28	67	.	.	PUNCT
ajst-29857	29	1	typical	typical	ADJ
ajst-29857	29	2	ultrasonic	ultrasonic	ADJ
ajst-29857	29	3	echo	echo	NOUN
ajst-29857	29	4	signal	signal	NOUN
ajst-29857	29	5	(	(	PUNCT
ajst-29857	29	6	a	a	NOUN
ajst-29857	29	7	)	)	PUNCT
ajst-29857	29	8	(	(	PUNCT
ajst-29857	29	9	b	b	X
ajst-29857	29	10	)	)	PUNCT
ajst-29857	29	11	figure	figure	NOUN
ajst-29857	29	12	2	2	NUM
ajst-29857	29	13	.	.	PUNCT
ajst-29857	30	1	the	the	DET
ajst-29857	30	2	impact	impact	NOUN
ajst-29857	30	3	of	of	ADP
ajst-29857	30	4	noise	noise	NOUN
ajst-29857	30	5	on	on	ADP
ajst-29857	30	6	echo	echo	NOUN
ajst-29857	30	7	signals	signal	NOUN
ajst-29857	30	8	:	:	PUNCT
ajst-29857	30	9	(	(	PUNCT
ajst-29857	30	10	a	a	X
ajst-29857	30	11	)	)	PUNCT
ajst-29857	30	12	echo	echo	NOUN
ajst-29857	30	13	signals	signal	NOUN
ajst-29857	30	14	with	with	ADP
ajst-29857	30	15	noise	noise	NOUN
ajst-29857	30	16	;	;	PUNCT
ajst-29857	30	17	(	(	PUNCT
ajst-29857	30	18	b	b	X
ajst-29857	30	19	)	)	PUNCT
ajst-29857	30	20	signal	signal	NOUN
ajst-29857	30	21	spectrum	spectrum	NOUN
ajst-29857	30	22	(	(	PUNCT
ajst-29857	30	23	1	1	NUM
ajst-29857	30	24	)	)	PUNCT
ajst-29857	30	25	the	the	DET
ajst-29857	30	26	selection	selection	NOUN
ajst-29857	30	27	of	of	ADP
ajst-29857	30	28	wavelet	wavelet	NOUN
ajst-29857	30	29	functions	function	NOUN
ajst-29857	30	30	is	be	AUX
ajst-29857	30	31	crucial	crucial	ADJ
ajst-29857	30	32	in	in	ADP
ajst-29857	30	33	wavelet	wavelet	NOUN
ajst-29857	30	34	transform	transform	NOUN
ajst-29857	30	35	,	,	PUNCT
ajst-29857	30	36	as	as	SCONJ
ajst-29857	30	37	it	it	PRON
ajst-29857	30	38	relates	relate	VERB
ajst-29857	30	39	to	to	ADP
ajst-29857	30	40	whether	whether	SCONJ
ajst-29857	30	41	good	good	ADJ
ajst-29857	30	42	resolution	resolution	NOUN
ajst-29857	30	43	can	can	AUX
ajst-29857	30	44	be	be	AUX
ajst-29857	30	45	obtained	obtain	VERB
ajst-29857	30	46	in	in	ADP
ajst-29857	30	47	the	the	DET
ajst-29857	30	48	time	time	NOUN
ajst-29857	30	49	-	-	PUNCT
ajst-29857	30	50	frequency	frequency	NOUN
ajst-29857	30	51	domain	domain	NOUN
ajst-29857	30	52	.	.	PUNCT
ajst-29857	31	1	the	the	DET
ajst-29857	31	2	frequency	frequency	NOUN
ajst-29857	31	3	of	of	ADP
ajst-29857	31	4	the	the	DET
ajst-29857	31	5	echo	echo	NOUN
ajst-29857	31	6	signal	signal	NOUN
ajst-29857	31	7	received	receive	VERB
ajst-29857	31	8	by	by	ADP
ajst-29857	31	9	the	the	DET
ajst-29857	31	10	sensor	sensor	NOUN
ajst-29857	31	11	is	be	AUX
ajst-29857	31	12	single	single	ADJ
ajst-29857	31	13	,	,	PUNCT
ajst-29857	31	14	which	which	PRON
ajst-29857	31	15	means	mean	VERB
ajst-29857	31	16	that	that	SCONJ
ajst-29857	31	17	a	a	DET
ajst-29857	31	18	high	high	ADJ
ajst-29857	31	19	time	time	NOUN
ajst-29857	31	20	resolution	resolution	NOUN
ajst-29857	31	21	is	be	AUX
ajst-29857	31	22	required	require	VERB
ajst-29857	31	23	for	for	ADP
ajst-29857	31	24	time	time	NOUN
ajst-29857	31	25	localization	localization	NOUN
ajst-29857	31	26	of	of	ADP
ajst-29857	31	27	this	this	DET
ajst-29857	31	28	single	single	ADJ
ajst-29857	31	29	frequency	frequency	NOUN
ajst-29857	31	30	.	.	PUNCT
ajst-29857	32	1	the	the	DET
ajst-29857	32	2	morlet	morlet	PROPN
ajst-29857	32	3	wavelet	wavelet	NOUN
ajst-29857	32	4	transform	transform	NOUN
ajst-29857	32	5	(	(	PUNCT
ajst-29857	32	6	mwt	mwt	PROPN
ajst-29857	32	7	)	)	PUNCT
ajst-29857	32	8	using	use	VERB
ajst-29857	32	9	morlet	morlet	NOUN
ajst-29857	32	10	wavelet	wavelet	NOUN
ajst-29857	32	11	functions	function	NOUN
ajst-29857	32	12	is	be	AUX
ajst-29857	32	13	an	an	DET
ajst-29857	32	14	ideal	ideal	ADJ
ajst-29857	32	15	choice	choice	NOUN
ajst-29857	32	16	,	,	PUNCT
ajst-29857	32	17	and	and	CCONJ
ajst-29857	32	18	its	its	PRON
ajst-29857	32	19	analytical	analytical	ADJ
ajst-29857	32	20	formula	formula	NOUN
ajst-29857	32	21	is	be	AUX
ajst-29857	32	22	:	:	PUNCT
ajst-29857	32	23	(	(	PUNCT
ajst-29857	32	24	2	2	X
ajst-29857	32	25	)	)	PUNCT
ajst-29857	32	26	in	in	ADP
ajst-29857	32	27	the	the	DET
ajst-29857	32	28	formula	formula	NOUN
ajst-29857	32	29	,	,	PUNCT
ajst-29857	32	30	𝜔	𝜔	X
ajst-29857	32	31	is	be	AUX
ajst-29857	32	32	the	the	DET
ajst-29857	32	33	center	center	ADJ
ajst-29857	32	34	frequency	frequency	NOUN
ajst-29857	32	35	of	of	ADP
ajst-29857	32	36	the	the	DET
ajst-29857	32	37	wavelet	wavelet	NOUN
ajst-29857	32	38	and	and	CCONJ
ajst-29857	32	39	𝑗	𝑗	NOUN
ajst-29857	32	40	is	be	AUX
ajst-29857	32	41	the	the	DET
ajst-29857	32	42	imaginary	imaginary	ADJ
ajst-29857	32	43	unit	unit	NOUN
ajst-29857	32	44	.	.	PUNCT
ajst-29857	33	1	therefore	therefore	ADV
ajst-29857	33	2	,	,	PUNCT
ajst-29857	33	3	equation	equation	NOUN
ajst-29857	33	4	can	can	AUX
ajst-29857	33	5	be	be	AUX
ajst-29857	33	6	rewritten	rewrite	VERB
ajst-29857	33	7	as	as	ADP
ajst-29857	33	8	:	:	PUNCT
ajst-29857	33	9	(	(	PUNCT
ajst-29857	33	10	3	3	X
ajst-29857	33	11	)	)	PUNCT
ajst-29857	33	12	among	among	ADP
ajst-29857	33	13	them	they	PRON
ajst-29857	33	14	,	,	PUNCT
ajst-29857	33	15	is	be	AUX
ajst-29857	33	16	the	the	DET
ajst-29857	33	17	scale	scale	NOUN
ajst-29857	33	18	plot	plot	NOUN
ajst-29857	33	19	of	of	ADP
ajst-29857	33	20	the	the	DET
ajst-29857	33	21	echo	echo	NOUN
ajst-29857	33	22	signal	signal	NOUN
ajst-29857	33	23	,	,	PUNCT
ajst-29857	33	24	representing	represent	VERB
ajst-29857	33	25	the	the	DET
ajst-29857	33	26	energy	energy	NOUN
ajst-29857	33	27	distribution	distribution	NOUN
ajst-29857	33	28	of	of	ADP
ajst-29857	33	29	displacement	displacement	ADJ
ajst-29857	33	30	factor	factor	NOUN
ajst-29857	33	31	b	b	NOUN
ajst-29857	33	32	and	and	CCONJ
ajst-29857	33	33	scale	scale	NOUN
ajst-29857	33	34	factor	factor	NOUN
ajst-29857	33	35	a.	a.	NOUN
ajst-29857	33	36	the	the	DET
ajst-29857	33	37	scaling	scale	VERB
ajst-29857	33	38	factor	factor	NOUN
ajst-29857	33	39	a	a	NOUN
ajst-29857	33	40	is	be	AUX
ajst-29857	33	41	related	relate	VERB
ajst-29857	33	42	to	to	ADP
ajst-29857	33	43	frequency	frequency	NOUN
ajst-29857	33	44	f	f	NOUN
ajst-29857	33	45	and	and	CCONJ
ajst-29857	33	46	is	be	AUX
ajst-29857	33	47	expressed	express	VERB
ajst-29857	33	48	as	as	ADP
ajst-29857	33	49	:	:	PUNCT
ajst-29857	33	50	72	72	NUM
ajst-29857	33	51	(	(	PUNCT
ajst-29857	33	52	4	4	NUM
ajst-29857	33	53	)	)	PUNCT
ajst-29857	33	54	where	where	SCONJ
ajst-29857	33	55	is	be	AUX
ajst-29857	33	56	the	the	DET
ajst-29857	33	57	sampling	sample	VERB
ajst-29857	33	58	frequency	frequency	NOUN
ajst-29857	33	59	.	.	PUNCT
ajst-29857	34	1	therefore	therefore	ADV
ajst-29857	34	2	,	,	PUNCT
ajst-29857	34	3	the	the	DET
ajst-29857	34	4	equation	equation	NOUN
ajst-29857	34	5	can	can	AUX
ajst-29857	34	6	be	be	AUX
ajst-29857	34	7	rewritten	rewrite	VERB
ajst-29857	34	8	as	as	ADP
ajst-29857	34	9	(	(	PUNCT
ajst-29857	34	10	5	5	NUM
ajst-29857	34	11	)	)	PUNCT
ajst-29857	34	12	based	base	VERB
ajst-29857	34	13	on	on	ADP
ajst-29857	34	14	this	this	PRON
ajst-29857	34	15	,	,	PUNCT
ajst-29857	34	16	the	the	DET
ajst-29857	34	17	time	time	NOUN
ajst-29857	34	18	-	-	PUNCT
ajst-29857	34	19	frequency	frequency	NOUN
ajst-29857	34	20	relationship	relationship	NOUN
ajst-29857	34	21	of	of	ADP
ajst-29857	34	22	typical	typical	ADJ
ajst-29857	34	23	echo	echo	NOUN
ajst-29857	34	24	signals	signal	NOUN
ajst-29857	34	25	can	can	AUX
ajst-29857	34	26	be	be	AUX
ajst-29857	34	27	obtained	obtain	VERB
ajst-29857	34	28	,	,	PUNCT
ajst-29857	34	29	and	and	CCONJ
ajst-29857	34	30	the	the	DET
ajst-29857	34	31	time	time	NOUN
ajst-29857	34	32	-	-	PUNCT
ajst-29857	34	33	frequency	frequency	NOUN
ajst-29857	34	34	distribution	distribution	NOUN
ajst-29857	34	35	of	of	ADP
ajst-29857	34	36	echo	echo	NOUN
ajst-29857	34	37	signals	signal	NOUN
ajst-29857	34	38	can	can	AUX
ajst-29857	34	39	be	be	AUX
ajst-29857	34	40	plotted	plot	VERB
ajst-29857	34	41	as	as	ADP
ajst-29857	34	42	figure	figure	NOUN
ajst-29857	34	43	3	3	NUM
ajst-29857	34	44	.	.	PUNCT
ajst-29857	34	45	figure	figure	NOUN
ajst-29857	34	46	3	3	NUM
ajst-29857	34	47	.	.	PUNCT
ajst-29857	34	48	wavelet	wavelet	NOUN
ajst-29857	34	49	time	time	NOUN
ajst-29857	34	50	-	-	PUNCT
ajst-29857	34	51	frequency	frequency	NOUN
ajst-29857	34	52	diagram	diagram	NOUN
ajst-29857	34	53	the	the	DET
ajst-29857	34	54	figure	figure	NOUN
ajst-29857	34	55	shows	show	VERB
ajst-29857	34	56	the	the	DET
ajst-29857	34	57	result	result	NOUN
ajst-29857	34	58	of	of	ADP
ajst-29857	34	59	wavelet	wavelet	NOUN
ajst-29857	34	60	transform	transform	NOUN
ajst-29857	34	61	on	on	ADP
ajst-29857	34	62	the	the	DET
ajst-29857	34	63	echo	echo	NOUN
ajst-29857	34	64	signal	signal	NOUN
ajst-29857	34	65	.	.	PUNCT
ajst-29857	35	1	the	the	DET
ajst-29857	35	2	figure	figure	NOUN
ajst-29857	35	3	clearly	clearly	ADV
ajst-29857	35	4	shows	show	VERB
ajst-29857	35	5	the	the	DET
ajst-29857	35	6	significant	significant	ADJ
ajst-29857	35	7	change	change	NOUN
ajst-29857	35	8	in	in	ADP
ajst-29857	35	9	energy	energy	NOUN
ajst-29857	35	10	with	with	ADP
ajst-29857	35	11	signal	signal	ADJ
ajst-29857	35	12	frequency	frequency	NOUN
ajst-29857	35	13	when	when	SCONJ
ajst-29857	35	14	the	the	DET
ajst-29857	35	15	echo	echo	NOUN
ajst-29857	35	16	signal	signal	NOUN
ajst-29857	35	17	arrives	arrive	VERB
ajst-29857	35	18	.	.	PUNCT
ajst-29857	36	1	the	the	DET
ajst-29857	36	2	testing	testing	NOUN
ajst-29857	36	3	of	of	ADP
ajst-29857	36	4	a	a	DET
ajst-29857	36	5	large	large	ADJ
ajst-29857	36	6	amount	amount	NOUN
ajst-29857	36	7	of	of	ADP
ajst-29857	36	8	noise	noise	NOUN
ajst-29857	36	9	showed	show	VERB
ajst-29857	36	10	the	the	DET
ajst-29857	36	11	same	same	ADJ
ajst-29857	36	12	regularity	regularity	NOUN
ajst-29857	36	13	.	.	PUNCT
ajst-29857	37	1	based	base	VERB
ajst-29857	37	2	on	on	ADP
ajst-29857	37	3	this	this	DET
ajst-29857	37	4	characteristic	characteristic	NOUN
ajst-29857	37	5	,	,	PUNCT
ajst-29857	37	6	sampling	sample	VERB
ajst-29857	37	7	points	point	NOUN
ajst-29857	37	8	that	that	PRON
ajst-29857	37	9	change	change	VERB
ajst-29857	37	10	with	with	ADP
ajst-29857	37	11	energy	energy	NOUN
ajst-29857	37	12	fluctuations	fluctuation	NOUN
ajst-29857	37	13	can	can	AUX
ajst-29857	37	14	be	be	AUX
ajst-29857	37	15	found	find	VERB
ajst-29857	37	16	on	on	ADP
ajst-29857	37	17	the	the	DET
ajst-29857	37	18	echo	echo	NOUN
ajst-29857	37	19	signal	signal	NOUN
ajst-29857	37	20	as	as	ADP
ajst-29857	37	21	a	a	DET
ajst-29857	37	22	reference	reference	NOUN
ajst-29857	37	23	for	for	ADP
ajst-29857	37	24	determining	determine	VERB
ajst-29857	37	25	the	the	DET
ajst-29857	37	26	accurate	accurate	ADJ
ajst-29857	37	27	arrival	arrival	NOUN
ajst-29857	37	28	time	time	NOUN
ajst-29857	37	29	of	of	ADP
ajst-29857	37	30	the	the	DET
ajst-29857	37	31	echo	echo	NOUN
ajst-29857	37	32	signal[4	signal[4	NOUN
ajst-29857	37	33	]	]	PUNCT
ajst-29857	37	34	.	.	PUNCT
ajst-29857	38	1	3	3	X
ajst-29857	38	2	.	.	X
ajst-29857	38	3	echo	echo	NOUN
ajst-29857	38	4	point	point	NOUN
ajst-29857	38	5	localization	localization	NOUN
ajst-29857	38	6	based	base	VERB
ajst-29857	38	7	on	on	ADP
ajst-29857	38	8	aic	aic	PROPN
ajst-29857	38	9	aic	aic	PROPN
ajst-29857	38	10	is	be	AUX
ajst-29857	38	11	a	a	DET
ajst-29857	38	12	standard	standard	NOUN
ajst-29857	38	13	based	base	VERB
ajst-29857	38	14	on	on	ADP
ajst-29857	38	15	the	the	DET
ajst-29857	38	16	concept	concept	NOUN
ajst-29857	38	17	of	of	ADP
ajst-29857	38	18	entropy	entropy	PROPN
ajst-29857	38	19	,	,	PUNCT
ajst-29857	38	20	derived	derive	VERB
ajst-29857	38	21	from	from	ADP
ajst-29857	38	22	information	information	NOUN
ajst-29857	38	23	theory	theory	NOUN
ajst-29857	38	24	and	and	CCONJ
ajst-29857	38	25	maximum	maximum	ADJ
ajst-29857	38	26	likelihood	likelihood	NOUN
ajst-29857	38	27	principle	principle	NOUN
ajst-29857	38	28	,	,	PUNCT
ajst-29857	38	29	used	use	VERB
ajst-29857	38	30	to	to	PART
ajst-29857	38	31	balance	balance	VERB
ajst-29857	38	32	the	the	DET
ajst-29857	38	33	complexity	complexity	NOUN
ajst-29857	38	34	of	of	ADP
ajst-29857	38	35	statistical	statistical	ADJ
ajst-29857	38	36	estimation	estimation	NOUN
ajst-29857	38	37	models	model	NOUN
ajst-29857	38	38	and	and	CCONJ
ajst-29857	38	39	measure	measure	VERB
ajst-29857	38	40	the	the	DET
ajst-29857	38	41	goodness	goodness	NOUN
ajst-29857	38	42	of	of	ADP
ajst-29857	38	43	fit	fit	NOUN
ajst-29857	38	44	of	of	ADP
ajst-29857	38	45	such	such	ADJ
ajst-29857	38	46	models	model	NOUN
ajst-29857	38	47	.	.	PUNCT
ajst-29857	39	1	used	use	VERB
ajst-29857	39	2	in	in	ADP
ajst-29857	39	3	echo	echo	NOUN
ajst-29857	39	4	arrival	arrival	NOUN
ajst-29857	39	5	extraction	extraction	NOUN
ajst-29857	39	6	to	to	PART
ajst-29857	39	7	determine	determine	VERB
ajst-29857	39	8	the	the	DET
ajst-29857	39	9	boundary	boundary	ADJ
ajst-29857	39	10	position	position	NOUN
ajst-29857	39	11	between	between	ADP
ajst-29857	39	12	two	two	NUM
ajst-29857	39	13	different	different	ADJ
ajst-29857	39	14	stationary	stationary	ADJ
ajst-29857	39	15	sequences	sequence	NOUN
ajst-29857	39	16	.	.	PUNCT
ajst-29857	40	1	for	for	ADP
ajst-29857	40	2	a	a	DET
ajst-29857	40	3	time	time	NOUN
ajst-29857	40	4	series	series	NOUN
ajst-29857	40	5	of	of	ADP
ajst-29857	40	6	a	a	DET
ajst-29857	40	7	given	give	VERB
ajst-29857	40	8	length	length	NOUN
ajst-29857	40	9	n	n	CCONJ
ajst-29857	40	10	,	,	PUNCT
ajst-29857	40	11	it	it	PRON
ajst-29857	40	12	can	can	AUX
ajst-29857	40	13	be	be	AUX
ajst-29857	40	14	represented	represent	VERB
ajst-29857	40	15	by	by	ADP
ajst-29857	40	16	an	an	DET
ajst-29857	40	17	autoregressive	autoregressive	ADJ
ajst-29857	40	18	model	model	NOUN
ajst-29857	40	19	as[5	as[5	PROPN
ajst-29857	40	20	]	]	PUNCT
ajst-29857	40	21	.	.	PUNCT
ajst-29857	41	1	(	(	PUNCT
ajst-29857	41	2	6	6	NUM
ajst-29857	41	3	)	)	PUNCT
ajst-29857	41	4	in	in	ADP
ajst-29857	41	5	the	the	DET
ajst-29857	41	6	formula	formula	NOUN
ajst-29857	41	7	,	,	PUNCT
ajst-29857	41	8	m	m	VERB
ajst-29857	41	9	represents	represent	VERB
ajst-29857	41	10	the	the	DET
ajst-29857	41	11	order	order	NOUN
ajst-29857	41	12	of	of	ADP
ajst-29857	41	13	the	the	DET
ajst-29857	41	14	ar	ar	PROPN
ajst-29857	41	15	model	model	NOUN
ajst-29857	41	16	,	,	PUNCT
ajst-29857	41	17	represents	represent	VERB
ajst-29857	41	18	a	a	DET
ajst-29857	41	19	stationary	stationary	ADJ
ajst-29857	41	20	white	white	ADJ
ajst-29857	41	21	noise	noise	NOUN
ajst-29857	41	22	sequence	sequence	NOUN
ajst-29857	41	23	with	with	ADP
ajst-29857	41	24	a	a	DET
ajst-29857	41	25	mean	mean	NOUN
ajst-29857	41	26	of	of	ADP
ajst-29857	41	27	zero	zero	NUM
ajst-29857	41	28	and	and	CCONJ
ajst-29857	41	29	variance	variance	NOUN
ajst-29857	41	30	of	of	ADP
ajst-29857	41	31	,	,	PUNCT
ajst-29857	41	32	and	and	CCONJ
ajst-29857	41	33	is	be	AUX
ajst-29857	41	34	the	the	DET
ajst-29857	41	35	coefficient	coefficient	NOUN
ajst-29857	41	36	.	.	PUNCT
ajst-29857	42	1	the	the	DET
ajst-29857	42	2	aic	aic	PROPN
ajst-29857	42	3	value	value	NOUN
ajst-29857	42	4	of	of	ADP
ajst-29857	42	5	this	this	DET
ajst-29857	42	6	model	model	NOUN
ajst-29857	42	7	is	be	AUX
ajst-29857	42	8	:	:	PUNCT
ajst-29857	42	9	(	(	PUNCT
ajst-29857	42	10	7	7	X
ajst-29857	42	11	)	)	PUNCT
ajst-29857	42	12	among	among	ADP
ajst-29857	42	13	them	they	PRON
ajst-29857	42	14	,	,	PUNCT
ajst-29857	42	15	k	k	PROPN
ajst-29857	42	16	represents	represent	VERB
ajst-29857	42	17	the	the	DET
ajst-29857	42	18	order	order	NOUN
ajst-29857	42	19	of	of	ADP
ajst-29857	42	20	the	the	DET
ajst-29857	42	21	ar	ar	NOUN
ajst-29857	42	22	model	model	NOUN
ajst-29857	42	23	,	,	PUNCT
ajst-29857	42	24	and	and	CCONJ
ajst-29857	42	25	σ	σ	NOUN
ajst-29857	42	26	represents	represent	VERB
ajst-29857	42	27	the	the	DET
ajst-29857	42	28	variance	variance	NOUN
ajst-29857	42	29	of	of	ADP
ajst-29857	42	30	the	the	DET
ajst-29857	42	31	sequence	sequence	NOUN
ajst-29857	42	32	.	.	PUNCT
ajst-29857	43	1	a(k	a(k	NUM
ajst-29857	43	2	)	)	PUNCT
ajst-29857	44	1	represents	represent	VERB
ajst-29857	44	2	the	the	DET
ajst-29857	44	3	likelihood	likelihood	NOUN
ajst-29857	44	4	corresponding	correspond	VERB
ajst-29857	44	5	to	to	PART
ajst-29857	44	6	order	order	VERB
ajst-29857	44	7	k.	k.	NOUN
ajst-29857	44	8	due	due	ADP
ajst-29857	44	9	to	to	ADP
ajst-29857	44	10	the	the	DET
ajst-29857	44	11	different	different	ADJ
ajst-29857	44	12	statistical	statistical	ADJ
ajst-29857	44	13	characteristics	characteristic	NOUN
ajst-29857	44	14	of	of	ADP
ajst-29857	44	15	noise	noise	NOUN
ajst-29857	44	16	components	component	NOUN
ajst-29857	44	17	and	and	CCONJ
ajst-29857	44	18	echo	echo	NOUN
ajst-29857	44	19	signal	signal	NOUN
ajst-29857	44	20	components	component	NOUN
ajst-29857	44	21	,	,	PUNCT
ajst-29857	44	22	they	they	PRON
ajst-29857	44	23	can	can	AUX
ajst-29857	44	24	be	be	AUX
ajst-29857	44	25	regarded	regard	VERB
ajst-29857	44	26	as	as	ADP
ajst-29857	44	27	stationary	stationary	ADJ
ajst-29857	44	28	processes	process	NOUN
ajst-29857	44	29	and	and	CCONJ
ajst-29857	44	30	can	can	AUX
ajst-29857	44	31	be	be	AUX
ajst-29857	44	32	represented	represent	VERB
ajst-29857	44	33	by	by	ADP
ajst-29857	44	34	ar	ar	NOUN
ajst-29857	44	35	models	model	NOUN
ajst-29857	44	36	.	.	PUNCT
ajst-29857	45	1	assuming	assume	VERB
ajst-29857	45	2	that	that	SCONJ
ajst-29857	45	3	the	the	DET
ajst-29857	45	4	k	k	PROPN
ajst-29857	45	5	-	-	PUNCT
ajst-29857	45	6	th	th	VERB
ajst-29857	45	7	point	point	NOUN
ajst-29857	45	8	is	be	AUX
ajst-29857	45	9	the	the	DET
ajst-29857	45	10	optimal	optimal	ADJ
ajst-29857	45	11	boundary	boundary	NOUN
ajst-29857	45	12	between	between	ADP
ajst-29857	45	13	the	the	DET
ajst-29857	45	14	noise	noise	NOUN
ajst-29857	45	15	component	component	NOUN
ajst-29857	45	16	and	and	CCONJ
ajst-29857	45	17	the	the	DET
ajst-29857	45	18	signal	signal	ADJ
ajst-29857	45	19	component	component	NOUN
ajst-29857	45	20	,	,	PUNCT
ajst-29857	45	21	the	the	DET
ajst-29857	45	22	signal	signal	NOUN
ajst-29857	45	23	is	be	AUX
ajst-29857	45	24	divided	divide	VERB
ajst-29857	45	25	into	into	ADP
ajst-29857	45	26	two	two	NUM
ajst-29857	45	27	segments	segment	NOUN
ajst-29857	45	28	at	at	ADP
ajst-29857	45	29	the	the	DET
ajst-29857	45	30	kth	kth	PROPN
ajst-29857	45	31	point	point	NOUN
ajst-29857	45	32	,	,	PUNCT
ajst-29857	45	33	and	and	CCONJ
ajst-29857	45	34	the	the	DET
ajst-29857	45	35	corresponding	corresponding	ADJ
ajst-29857	45	36	aic	aic	PROPN
ajst-29857	45	37	value	value	NOUN
ajst-29857	45	38	can	can	AUX
ajst-29857	45	39	be	be	AUX
ajst-29857	45	40	expressed	express	VERB
ajst-29857	45	41	as	as	ADP
ajst-29857	45	42	:	:	PUNCT
ajst-29857	45	43	(	(	PUNCT
ajst-29857	45	44	8)	8)	NUM
ajst-29857	45	45	in	in	ADP
ajst-29857	45	46	the	the	DET
ajst-29857	45	47	above	above	ADJ
ajst-29857	45	48	equation	equation	NOUN
ajst-29857	45	49	,	,	PUNCT
ajst-29857	45	50	and	and	CCONJ
ajst-29857	45	51	represent	represent	VERB
ajst-29857	45	52	the	the	DET
ajst-29857	45	53	variances	variance	NOUN
ajst-29857	45	54	of	of	ADP
ajst-29857	45	55	noise	noise	NOUN
ajst-29857	45	56	data	datum	NOUN
ajst-29857	45	57	and	and	CCONJ
ajst-29857	45	58	signal	signal	PROPN
ajst-29857	45	59	data	datum	NOUN
ajst-29857	45	60	,	,	PUNCT
ajst-29857	45	61	respectively	respectively	ADV
ajst-29857	45	62	.	.	PUNCT
ajst-29857	46	1	the	the	DET
ajst-29857	46	2	calculation	calculation	NOUN
ajst-29857	46	3	of	of	ADP
ajst-29857	46	4	the	the	DET
ajst-29857	46	5	order	order	NOUN
ajst-29857	46	6	m	m	NOUN
ajst-29857	46	7	of	of	ADP
ajst-29857	46	8	the	the	DET
ajst-29857	46	9	ar	ar	NOUN
ajst-29857	46	10	model	model	NOUN
ajst-29857	46	11	is	be	AUX
ajst-29857	46	12	relatively	relatively	ADV
ajst-29857	46	13	complex	complex	ADJ
ajst-29857	46	14	,	,	PUNCT
ajst-29857	46	15	but	but	CCONJ
ajst-29857	46	16	when	when	SCONJ
ajst-29857	46	17	m	m	NOUN
ajst-29857	46	18	is	be	AUX
ajst-29857	46	19	much	much	ADV
ajst-29857	46	20	smaller	small	ADJ
ajst-29857	46	21	than	than	ADP
ajst-29857	46	22	the	the	DET
ajst-29857	46	23	number	number	NOUN
ajst-29857	46	24	of	of	ADP
ajst-29857	46	25	points	point	NOUN
ajst-29857	46	26	,	,	PUNCT
ajst-29857	46	27	it	it	PRON
ajst-29857	46	28	can	can	AUX
ajst-29857	46	29	be	be	AUX
ajst-29857	46	30	expressed	express	VERB
ajst-29857	46	31	as	as	ADP
ajst-29857	46	32	:	:	PUNCT
ajst-29857	46	33	(	(	PUNCT
ajst-29857	46	34	9	9	X
ajst-29857	46	35	)	)	PUNCT
ajst-29857	46	36	among	among	ADP
ajst-29857	46	37	them	they	PRON
ajst-29857	46	38	,	,	PUNCT
ajst-29857	46	39	var	var	NOUN
ajst-29857	46	40	represents	represent	VERB
ajst-29857	46	41	the	the	DET
ajst-29857	46	42	variance	variance	NOUN
ajst-29857	46	43	of	of	ADP
ajst-29857	46	44	the	the	DET
ajst-29857	46	45	data	data	NOUN
ajst-29857	46	46	sequence	sequence	NOUN
ajst-29857	46	47	.	.	PUNCT
ajst-29857	47	1	the	the	DET
ajst-29857	47	2	above	above	ADJ
ajst-29857	47	3	equation	equation	NOUN
ajst-29857	47	4	can	can	AUX
ajst-29857	47	5	directly	directly	ADV
ajst-29857	47	6	calculate	calculate	VERB
ajst-29857	47	7	the	the	DET
ajst-29857	47	8	aic	aic	PROPN
ajst-29857	47	9	value	value	NOUN
ajst-29857	47	10	from	from	ADP
ajst-29857	47	11	data	data	PROPN
ajst-29857	47	12	.	.	PUNCT
ajst-29857	48	1	at	at	ADP
ajst-29857	48	2	the	the	DET
ajst-29857	48	3	arrival	arrival	NOUN
ajst-29857	48	4	time	time	NOUN
ajst-29857	48	5	of	of	ADP
ajst-29857	48	6	the	the	DET
ajst-29857	48	7	echo	echo	NOUN
ajst-29857	48	8	signal	signal	NOUN
ajst-29857	48	9	,	,	PUNCT
ajst-29857	48	10	due	due	ADP
ajst-29857	48	11	to	to	ADP
ajst-29857	48	12	the	the	DET
ajst-29857	48	13	significant	significant	ADJ
ajst-29857	48	14	difference	difference	NOUN
ajst-29857	48	15	in	in	ADP
ajst-29857	48	16	statistical	statistical	ADJ
ajst-29857	48	17	properties	property	NOUN
ajst-29857	48	18	between	between	ADP
ajst-29857	48	19	the	the	DET
ajst-29857	48	20	noise	noise	NOUN
ajst-29857	48	21	signal	signal	NOUN
ajst-29857	48	22	and	and	CCONJ
ajst-29857	48	23	the	the	DET
ajst-29857	48	24	echo	echo	NOUN
ajst-29857	48	25	signal	signal	NOUN
ajst-29857	48	26	,	,	PUNCT
ajst-29857	48	27	the	the	DET
ajst-29857	48	28	fitting	fitting	ADJ
ajst-29857	48	29	degree	degree	NOUN
ajst-29857	48	30	of	of	ADP
ajst-29857	48	31	these	these	DET
ajst-29857	48	32	two	two	NUM
ajst-29857	48	33	signals	signal	NOUN
ajst-29857	48	34	is	be	AUX
ajst-29857	48	35	the	the	DET
ajst-29857	48	36	worst	bad	ADJ
ajst-29857	48	37	in	in	ADP
ajst-29857	48	38	the	the	DET
ajst-29857	48	39	least	least	ADJ
ajst-29857	48	40	squares	square	NOUN
ajst-29857	48	41	sense	sense	NOUN
ajst-29857	48	42	,	,	PUNCT
ajst-29857	48	43	and	and	CCONJ
ajst-29857	48	44	the	the	DET
ajst-29857	48	45	corresponding	corresponding	ADJ
ajst-29857	48	46	aic	aic	PROPN
ajst-29857	48	47	value	value	NOUN
ajst-29857	48	48	is	be	AUX
ajst-29857	48	49	the	the	DET
ajst-29857	48	50	smallest	small	ADJ
ajst-29857	48	51	.	.	PUNCT
ajst-29857	49	1	[	[	X
ajst-29857	49	2	6]based	6]base	VERB
ajst-29857	49	3	on	on	ADP
ajst-29857	49	4	this	this	PRON
ajst-29857	49	5	,	,	PUNCT
ajst-29857	49	6	by	by	ADP
ajst-29857	49	7	calculating	calculate	VERB
ajst-29857	49	8	aic	aic	PROPN
ajst-29857	49	9	and	and	CCONJ
ajst-29857	49	10	selecting	select	VERB
ajst-29857	49	11	the	the	DET
ajst-29857	49	12	point	point	NOUN
ajst-29857	49	13	corresponding	correspond	VERB
ajst-29857	49	14	to	to	ADP
ajst-29857	49	15	the	the	DET
ajst-29857	49	16	minimum	minimum	ADJ
ajst-29857	49	17	aic	aic	PROPN
ajst-29857	49	18	value	value	NOUN
ajst-29857	49	19	as	as	ADP
ajst-29857	49	20	the	the	DET
ajst-29857	49	21	boundary	boundary	ADJ
ajst-29857	49	22	point	point	NOUN
ajst-29857	49	23	between	between	ADP
ajst-29857	49	24	two	two	NUM
ajst-29857	49	25	different	different	ADJ
ajst-29857	49	26	stationary	stationary	ADJ
ajst-29857	49	27	sequences	sequence	NOUN
ajst-29857	49	28	,	,	PUNCT
ajst-29857	49	29	that	that	ADV
ajst-29857	49	30	is	is	ADV
ajst-29857	49	31	,	,	PUNCT
ajst-29857	49	32	the	the	DET
ajst-29857	49	33	echo	echo	NOUN
ajst-29857	49	34	arrival	arrival	NOUN
ajst-29857	49	35	point	point	NOUN
ajst-29857	49	36	.	.	PUNCT
ajst-29857	50	1	4	4	X
ajst-29857	50	2	.	.	X
ajst-29857	50	3	algorithm	algorithm	NOUN
ajst-29857	50	4	validation	validation	NOUN
ajst-29857	50	5	and	and	CCONJ
ajst-29857	50	6	testing	testing	NOUN
ajst-29857	50	7	in	in	ADP
ajst-29857	50	8	order	order	NOUN
ajst-29857	50	9	to	to	PART
ajst-29857	50	10	verify	verify	VERB
ajst-29857	50	11	the	the	DET
ajst-29857	50	12	feasibility	feasibility	NOUN
ajst-29857	50	13	of	of	ADP
ajst-29857	50	14	the	the	DET
ajst-29857	50	15	algorithm	algorithm	NOUN
ajst-29857	50	16	proposed	propose	VERB
ajst-29857	50	17	in	in	ADP
ajst-29857	50	18	this	this	DET
ajst-29857	50	19	article	article	NOUN
ajst-29857	50	20	,	,	PUNCT
ajst-29857	50	21	a	a	DET
ajst-29857	50	22	two	two	NUM
ajst-29857	50	23	-	-	PUNCT
ajst-29857	50	24	step	step	NOUN
ajst-29857	50	25	comparative	comparative	ADJ
ajst-29857	50	26	test	test	NOUN
ajst-29857	50	27	was	be	AUX
ajst-29857	50	28	conducted	conduct	VERB
ajst-29857	50	29	using	use	VERB
ajst-29857	50	30	a	a	DET
ajst-29857	50	31	dataset	dataset	NOUN
ajst-29857	50	32	accurately	accurately	ADV
ajst-29857	50	33	determined	determine	VERB
ajst-29857	50	34	by	by	ADP
ajst-29857	50	35	manual	manual	ADJ
ajst-29857	50	36	judgment	judgment	NOUN
ajst-29857	50	37	at	at	ADP
ajst-29857	50	38	73	73	NUM
ajst-29857	50	39	time	time	NOUN
ajst-29857	50	40	points	point	NOUN
ajst-29857	50	41	,	,	PUNCT
ajst-29857	50	42	including	include	VERB
ajst-29857	50	43	traditional	traditional	ADJ
ajst-29857	50	44	threshold	threshold	NOUN
ajst-29857	50	45	detection	detection	NOUN
ajst-29857	50	46	methods	method	NOUN
ajst-29857	50	47	,	,	PUNCT
ajst-29857	50	48	time	time	NOUN
ajst-29857	50	49	window	window	NOUN
ajst-29857	50	50	energy	energy	NOUN
ajst-29857	50	51	ratio	ratio	NOUN
ajst-29857	50	52	method	method	NOUN
ajst-29857	50	53	(	(	PUNCT
ajst-29857	50	54	sta	sta	X
ajst-29857	50	55	/	/	SYM
ajst-29857	50	56	lta	lta	PROPN
ajst-29857	50	57	)	)	PUNCT
ajst-29857	50	58	,	,	PUNCT
ajst-29857	50	59	and	and	CCONJ
ajst-29857	50	60	wavelet	wavelet	NOUN
ajst-29857	50	61	and	and	CCONJ
ajst-29857	50	62	aic	aic	PROPN
ajst-29857	50	63	criteria	criterion	NOUN
ajst-29857	50	64	.	.	PUNCT
ajst-29857	51	1	take	take	VERB
ajst-29857	51	2	500	500	NUM
ajst-29857	51	3	different	different	ADJ
ajst-29857	51	4	sets	set	NOUN
ajst-29857	51	5	of	of	ADP
ajst-29857	51	6	data	datum	NOUN
ajst-29857	51	7	for	for	ADP
ajst-29857	51	8	testing	testing	NOUN
ajst-29857	51	9	,	,	PUNCT
ajst-29857	51	10	and	and	CCONJ
ajst-29857	51	11	calculate	calculate	VERB
ajst-29857	51	12	the	the	DET
ajst-29857	51	13	average	average	ADJ
ajst-29857	51	14	accuracy	accuracy	NOUN
ajst-29857	51	15	of	of	ADP
ajst-29857	51	16	each	each	DET
ajst-29857	51	17	extraction	extraction	NOUN
ajst-29857	51	18	method	method	NOUN
ajst-29857	51	19	.	.	PUNCT
ajst-29857	52	1	the	the	DET
ajst-29857	52	2	test	test	NOUN
ajst-29857	52	3	results	result	NOUN
ajst-29857	52	4	are	be	AUX
ajst-29857	52	5	shown	show	VERB
ajst-29857	52	6	in	in	ADP
ajst-29857	52	7	the	the	DET
ajst-29857	52	8	table	table	NOUN
ajst-29857	52	9	.	.	PUNCT
ajst-29857	53	1	table	table	NOUN
ajst-29857	53	2	1	1	NUM
ajst-29857	53	3	.	.	PUNCT
ajst-29857	54	1	three	three	NUM
ajst-29857	54	2	scheme	scheme	NOUN
ajst-29857	54	3	comparing	compare	VERB
ajst-29857	54	4	method	method	NOUN
ajst-29857	54	5	error	error	NOUN
ajst-29857	54	6	range	range	NOUN
ajst-29857	54	7	threshold	threshold	NOUN
ajst-29857	54	8	method	method	NOUN
ajst-29857	54	9	-21.8%~+4.2	-21.8%~+4.2	PROPN
ajst-29857	54	10	%	%	NOUN
ajst-29857	54	11	sta	sta	NOUN
ajst-29857	54	12	/	/	SYM
ajst-29857	54	13	lta	lta	PROPN
ajst-29857	54	14	-4.5%~+2.8	-4.5%~+2.8	ADJ
ajst-29857	54	15	%	%	NOUN
ajst-29857	54	16	wavelet	wavelet	NOUN
ajst-29857	54	17	-	-	PUNCT
ajst-29857	54	18	aic	aic	PROPN
ajst-29857	54	19	-2.3%~+1.2	-2.3%~+1.2	NOUN
ajst-29857	54	20	%	%	NOUN
ajst-29857	54	21	the	the	DET
ajst-29857	54	22	test	test	NOUN
ajst-29857	54	23	results	result	NOUN
ajst-29857	54	24	show	show	VERB
ajst-29857	54	25	that	that	SCONJ
ajst-29857	54	26	the	the	DET
ajst-29857	54	27	method	method	NOUN
ajst-29857	54	28	proposed	propose	VERB
ajst-29857	54	29	in	in	ADP
ajst-29857	54	30	this	this	DET
ajst-29857	54	31	paper	paper	NOUN
ajst-29857	54	32	has	have	VERB
ajst-29857	54	33	higher	high	ADJ
ajst-29857	54	34	accuracy	accuracy	NOUN
ajst-29857	54	35	in	in	ADP
ajst-29857	54	36	extracting	extract	VERB
ajst-29857	54	37	echo	echo	NOUN
ajst-29857	54	38	arrival	arrival	NOUN
ajst-29857	54	39	times	time	NOUN
ajst-29857	54	40	compared	compare	VERB
ajst-29857	54	41	to	to	ADP
ajst-29857	54	42	traditional	traditional	ADJ
ajst-29857	54	43	methods	method	NOUN
ajst-29857	54	44	,	,	PUNCT
ajst-29857	54	45	and	and	CCONJ
ajst-29857	54	46	is	be	AUX
ajst-29857	54	47	easy	easy	ADJ
ajst-29857	54	48	to	to	PART
ajst-29857	54	49	implement	implement	VERB
ajst-29857	54	50	,	,	PUNCT
ajst-29857	54	51	with	with	ADP
ajst-29857	54	52	strong	strong	ADJ
ajst-29857	54	53	engineering	engineering	NOUN
ajst-29857	54	54	practicality	practicality	NOUN
ajst-29857	54	55	.	.	PUNCT
ajst-29857	55	1	references	reference	NOUN
ajst-29857	55	2	[	[	X
ajst-29857	55	3	1	1	NUM
ajst-29857	55	4	]	]	PUNCT
ajst-29857	55	5	bohui	bohui	NOUN
ajst-29857	55	6	oilfield	oilfield	NOUN
ajst-29857	55	7	services	service	NOUN
ajst-29857	55	8	.	.	PUNCT
ajst-29857	56	1	china	china	PROPN
ajst-29857	56	2	's	's	PART
ajst-29857	56	3	external	external	ADJ
ajst-29857	56	4	oil	oil	NOUN
ajst-29857	56	5	and	and	CCONJ
ajst-29857	56	6	gas	gas	NOUN
ajst-29857	56	7	dependence	dependence	NOUN
ajst-29857	56	8	[	[	X
ajst-29857	56	9	eb	eb	PROPN
ajst-29857	56	10	/	/	SYM
ajst-29857	56	11	ol	ol	PROPN
ajst-29857	56	12	]	]	PUNCT
ajst-29857	56	13	.	.	PUNCT
ajst-29857	57	1	[	[	X
ajst-29857	57	2	5	5	NUM
ajst-29857	57	3	-	-	SYM
ajst-29857	57	4	27	27	NUM
ajst-29857	57	5	]	]	PUNCT
ajst-29857	57	6	.	.	PUNCT
ajst-29857	58	1	[	[	X
ajst-29857	58	2	2	2	NUM
ajst-29857	58	3	]	]	X
ajst-29857	58	4	kronland	kronland	NOUN
ajst-29857	58	5	-	-	PUNCT
ajst-29857	58	6	martinet	martinet	NOUN
ajst-29857	58	7	r	r	NOUN
ajst-29857	58	8	,	,	PUNCT
ajst-29857	58	9	morlet	morlet	PROPN
ajst-29857	58	10	j	j	PROPN
ajst-29857	58	11	,	,	PUNCT
ajst-29857	58	12	grossmann	grossmann	VERB
ajst-29857	58	13	a.	a.	NOUN
ajst-29857	58	14	analysis	analysis	NOUN
ajst-29857	58	15	of	of	ADP
ajst-29857	58	16	sound	sound	ADJ
ajst-29857	58	17	patterns	pattern	NOUN
ajst-29857	58	18	through	through	ADP
ajst-29857	58	19	wavelet	wavelet	PROPN
ajst-29857	58	20	transforms[j	transforms[j	PROPN
ajst-29857	58	21	]	]	PUNCT
ajst-29857	58	22	.	.	PUNCT
ajst-29857	59	1	international	international	ADJ
ajst-29857	59	2	journal	journal	PROPN
ajst-29857	59	3	of	of	ADP
ajst-29857	59	4	pattern	pattern	NOUN
ajst-29857	59	5	recognition	recognition	NOUN
ajst-29857	59	6	&	&	CCONJ
ajst-29857	59	7	artificial	artificial	ADJ
ajst-29857	59	8	intelligence	intelligence	NOUN
ajst-29857	59	9	,	,	PUNCT
ajst-29857	59	10	1987	1987	NUM
ajst-29857	59	11	,	,	PUNCT
ajst-29857	59	12	1(2	1(2	NUM
ajst-29857	59	13	)	)	PUNCT
ajst-29857	59	14	.	.	PUNCT
ajst-29857	60	1	[	[	X
ajst-29857	60	2	3	3	X
ajst-29857	60	3	]	]	X
ajst-29857	60	4	cowell	cowell	NOUN
ajst-29857	60	5	d	d	X
ajst-29857	60	6	m	m	PROPN
ajst-29857	60	7	j	j	PROPN
ajst-29857	60	8	,	,	PUNCT
ajst-29857	60	9	freear	freear	PROPN
ajst-29857	60	10	s.	s.	PROPN
ajst-29857	60	11	separation	separation	NOUN
ajst-29857	60	12	of	of	ADP
ajst-29857	60	13	overlapping	overlap	VERB
ajst-29857	60	14	linear	linear	ADJ
ajst-29857	60	15	frequency	frequency	NOUN
ajst-29857	60	16	modulated	modulate	VERB
ajst-29857	60	17	(	(	PUNCT
ajst-29857	60	18	lfm	lfm	PROPN
ajst-29857	60	19	)	)	PUNCT
ajst-29857	60	20	signals	signal	NOUN
ajst-29857	60	21	using	use	VERB
ajst-29857	60	22	the	the	DET
ajst-29857	60	23	fractional	fractional	ADJ
ajst-29857	60	24	fourier	fourier	NOUN
ajst-29857	60	25	transform[j	transform[j	PROPN
ajst-29857	60	26	]	]	PUNCT
ajst-29857	60	27	.	.	PUNCT
ajst-29857	61	1	ieee	ieee	NOUN
ajst-29857	61	2	transactions	transaction	NOUN
ajst-29857	61	3	on	on	ADP
ajst-29857	61	4	ultrasonics	ultrasonic	NOUN
ajst-29857	61	5	,	,	PUNCT
ajst-29857	61	6	ferroelectrics	ferroelectric	NOUN
ajst-29857	61	7	,	,	PUNCT
ajst-29857	61	8	and	and	CCONJ
ajst-29857	61	9	frequency	frequency	NOUN
ajst-29857	61	10	control	control	NOUN
ajst-29857	61	11	,	,	PUNCT
ajst-29857	61	12	2010	2010	NUM
ajst-29857	61	13	,	,	PUNCT
ajst-29857	61	14	57(10	57(10	NUM
ajst-29857	61	15	):	):	PUNCT
ajst-29857	61	16	2324–2333	2324–2333	NUM
ajst-29857	61	17	.	.	PUNCT
ajst-29857	62	1	[	[	X
ajst-29857	62	2	4	4	NUM
ajst-29857	62	3	]	]	X
ajst-29857	62	4	hou	hou	PROPN
ajst-29857	62	5	s	s	PROPN
ajst-29857	62	6	,	,	PUNCT
ajst-29857	62	7	xie	xie	PROPN
ajst-29857	62	8	q	q	PROPN
ajst-29857	62	9	,	,	PUNCT
ajst-29857	62	10	shi	shi	PROPN
ajst-29857	62	11	l	l	PROPN
ajst-29857	62	12	x	x	X
ajst-29857	62	13	,	,	PUNCT
ajst-29857	62	14	et	et	PROPN
ajst-29857	62	15	al	al	PROPN
ajst-29857	62	16	.	.	PROPN
ajst-29857	62	17	research	research	NOUN
ajst-29857	62	18	on	on	ADP
ajst-29857	62	19	direct	direct	ADJ
ajst-29857	62	20	wave	wave	NOUN
ajst-29857	62	21	separation	separation	NOUN
ajst-29857	62	22	of	of	ADP
ajst-29857	62	23	pd	pd	PROPN
ajst-29857	62	24	ultrasonic	ultrasonic	PROPN
ajst-29857	62	25	signal	signal	NOUN
ajst-29857	62	26	based	base	VERB
ajst-29857	62	27	on	on	ADP
ajst-29857	62	28	ica[j	ica[j	PROPN
ajst-29857	62	29	]	]	PUNCT
ajst-29857	62	30	.	.	PUNCT
ajst-29857	63	1	advanced	advanced	ADJ
ajst-29857	63	2	materials	material	NOUN
ajst-29857	63	3	research	research	NOUN
ajst-29857	63	4	,	,	PUNCT
ajst-29857	63	5	2013	2013	NUM
ajst-29857	63	6	,	,	PUNCT
ajst-29857	63	7	734–737	734–737	NUM
ajst-29857	63	8	:	:	PUNCT
ajst-29857	63	9	2819–2823	2819–2823	NUM
ajst-29857	63	10	.	.	PUNCT
ajst-29857	64	1	[	[	X
ajst-29857	64	2	5	5	NUM
ajst-29857	64	3	]	]	X
ajst-29857	64	4	songf	songf	NOUN
ajst-29857	64	5	,	,	PUNCT
ajst-29857	64	6	kulelihs	kulelihs	NOUN
ajst-29857	64	7	,	,	PUNCT
ajst-29857	64	8	toksozmn	toksozmn	ADV
ajst-29857	64	9	,	,	PUNCT
ajst-29857	64	10	et	et	PROPN
ajst-29857	64	11	al	al	PROPN
ajst-29857	64	12	.	.	PUNCT
ajst-29857	65	1	an	an	DET
ajst-29857	65	2	improvedmethod	improvedmethod	NOUN
ajst-29857	65	3	for	for	ADP
ajst-29857	65	4	hydrofracture	hydrofracture	ADV
ajst-29857	65	5	-	-	PUNCT
ajst-29857	65	6	induced	induce	VERB
ajst-29857	65	7	microseismic	microseismic	ADJ
ajst-29857	65	8	event	event	NOUN
ajst-29857	65	9	detection	detection	NOUN
ajst-29857	65	10	and	and	CCONJ
ajst-29857	65	11	phase	phase	NOUN
ajst-29857	65	12	picking	pick	VERB
ajst-29857	65	13	[	[	X
ajst-29857	65	14	j	j	X
ajst-29857	65	15	]	]	X
ajst-29857	65	16	.	.	PUNCT
ajst-29857	66	1	geophysics	geophysic	NOUN
ajst-29857	66	2	,	,	PUNCT
ajst-29857	66	3	2010	2010	NUM
ajst-29857	66	4	,	,	PUNCT
ajst-29857	66	5	75(6	75(6	NUM
ajst-29857	66	6	):	):	PUNCT
ajst-29857	66	7	a47	a47	NOUN
ajst-29857	66	8	-	-	PUNCT
ajst-29857	66	9	a52	a52	PROPN
ajst-29857	66	10	.	.	PUNCT
ajst-29857	67	1	[	[	X
ajst-29857	67	2	6	6	NUM
ajst-29857	67	3	]	]	X
ajst-29857	67	4	st	st	NOUN
ajst-29857	67	5	-	-	PUNCT
ajst-29857	67	6	ongea	ongea	ADJ
ajst-29857	67	7	.	.	PUNCT
ajst-29857	68	1	akaike	akaike	INTJ
ajst-29857	68	2	informationcriterionapplied	informationcriterionapplie	VERB
ajst-29857	68	3	todetecting	todetecting	NOUN
ajst-29857	68	4	first	first	ADJ
ajst-29857	68	5	arrival	arrival	NOUN
ajst-29857	68	6	times	time	NOUN
ajst-29857	68	7	onmicroseismic	onmicroseismic	ADJ
ajst-29857	68	8	data	datum	NOUN
ajst-29857	68	9	[	[	X
ajst-29857	68	10	g	g	X
ajst-29857	68	11	]	]	PUNCT
ajst-29857	68	12	.	.	PUNCT
ajst-29857	69	1	segtechnical	segtechnical	ADJ
ajst-29857	69	2	program	program	NOUN
ajst-29857	69	3	expandedabstracts	expandedabstract	NOUN
ajst-29857	69	4	,	,	PUNCT
ajst-29857	69	5	2011:1658－1662	2011:1658－1662	NUM
ajst-29857	69	6	.	.	PUNCT