id	sid	tid	token	lemma	pos
ispiv-125	1	1	14th	14th	ADJ
ispiv-125	1	2	international	international	ADJ
ispiv-125	1	3	symposium	symposium	NOUN
ispiv-125	1	4	on	on	ADP
ispiv-125	1	5	particle	particle	NOUN
ispiv-125	1	6	image	image	NOUN
ispiv-125	1	7	velocimetry	velocimetry	NOUN
ispiv-125	1	8	–	–	PUNCT
ispiv-125	1	9	ispiv	ispiv	NOUN
ispiv-125	1	10	2021	2021	NUM
ispiv-125	1	11	august	august	PROPN
ispiv-125	1	12	1–5	1–5	NUM
ispiv-125	1	13	,	,	PUNCT
ispiv-125	1	14	2021	2021	NUM
ispiv-125	1	15	uncertainty	uncertainty	NOUN
ispiv-125	1	16	quantification	quantification	NOUN
ispiv-125	1	17	for	for	ADP
ispiv-125	1	18	ptv	ptv	PROPN
ispiv-125	1	19	/	/	SYM
ispiv-125	1	20	lpt	lpt	PROPN
ispiv-125	1	21	data	data	PROPN
ispiv-125	1	22	and	and	CCONJ
ispiv-125	1	23	adaptive	adaptive	ADJ
ispiv-125	1	24	track	track	NOUN
ispiv-125	1	25	filtering	filter	VERB
ispiv-125	1	26	t.	t.	PROPN
ispiv-125	1	27	janke1∗	janke1∗	PROPN
ispiv-125	1	28	,	,	PUNCT
ispiv-125	1	29	d.	d.	PROPN
ispiv-125	1	30	michaelis1	michaelis1	PROPN
ispiv-125	1	31	1	1	NUM
ispiv-125	1	32	lavision	lavision	NOUN
ispiv-125	1	33	gmbh	gmbh	NOUN
ispiv-125	1	34	,	,	PUNCT
ispiv-125	1	35	anna	anna	NOUN
ispiv-125	1	36	-	-	PUNCT
ispiv-125	1	37	vandenhoeck	vandenhoeck	NOUN
ispiv-125	1	38	-	-	PUNCT
ispiv-125	1	39	ring	ring	NOUN
ispiv-125	1	40	19	19	NUM
ispiv-125	1	41	,	,	PUNCT
ispiv-125	1	42	37081	37081	NUM
ispiv-125	1	43	gttingen	gttingen	PROPN
ispiv-125	1	44	,	,	PUNCT
ispiv-125	1	45	germany	germany	PROPN
ispiv-125	1	46	∗	∗	NOUN
ispiv-125	1	47	tjanke@lavision.de	tjanke@lavision.de	PROPN
ispiv-125	1	48	abstract	abstract	ADJ
ispiv-125	1	49	particle	particle	NOUN
ispiv-125	1	50	tracking	tracking	NOUN
ispiv-125	1	51	velocimetry	velocimetry	NOUN
ispiv-125	1	52	(	(	PUNCT
ispiv-125	1	53	ptv	ptv	INTJ
ispiv-125	1	54	)	)	PUNCT
ispiv-125	1	55	or	or	CCONJ
ispiv-125	1	56	lagrangian	lagrangian	ADJ
ispiv-125	1	57	particle	particle	NOUN
ispiv-125	1	58	tracking	tracking	NOUN
ispiv-125	1	59	(	(	PUNCT
ispiv-125	1	60	lpt	lpt	PROPN
ispiv-125	1	61	)	)	PUNCT
ispiv-125	1	62	picked	pick	VERB
ispiv-125	1	63	up	up	ADP
ispiv-125	1	64	a	a	DET
ispiv-125	1	65	lot	lot	NOUN
ispiv-125	1	66	of	of	ADP
ispiv-125	1	67	interest	interest	NOUN
ispiv-125	1	68	over	over	ADP
ispiv-125	1	69	the	the	DET
ispiv-125	1	70	last	last	ADJ
ispiv-125	1	71	years	year	NOUN
ispiv-125	1	72	due	due	ADP
ispiv-125	1	73	to	to	ADP
ispiv-125	1	74	their	their	PRON
ispiv-125	1	75	ability	ability	NOUN
ispiv-125	1	76	to	to	PART
ispiv-125	1	77	acquire	acquire	VERB
ispiv-125	1	78	global	global	ADJ
ispiv-125	1	79	flow	flow	NOUN
ispiv-125	1	80	fields	field	NOUN
ispiv-125	1	81	at	at	ADP
ispiv-125	1	82	high	high	ADJ
ispiv-125	1	83	spatial	spatial	ADJ
ispiv-125	1	84	and	and	CCONJ
ispiv-125	1	85	temporal	temporal	ADJ
ispiv-125	1	86	resolution	resolution	NOUN
ispiv-125	1	87	.	.	PUNCT
ispiv-125	2	1	the	the	DET
ispiv-125	2	2	most	most	ADV
ispiv-125	2	3	recent	recent	ADJ
ispiv-125	2	4	research	research	NOUN
ispiv-125	2	5	focused	focus	VERB
ispiv-125	2	6	mainly	mainly	ADV
ispiv-125	2	7	on	on	ADP
ispiv-125	2	8	algorithmic	algorithmic	ADJ
ispiv-125	2	9	advancements	advancement	NOUN
ispiv-125	2	10	in	in	ADP
ispiv-125	2	11	order	order	NOUN
ispiv-125	2	12	to	to	PART
ispiv-125	2	13	increase	increase	VERB
ispiv-125	2	14	the	the	DET
ispiv-125	2	15	obtainable	obtainable	ADJ
ispiv-125	2	16	data	datum	NOUN
ispiv-125	2	17	density	density	NOUN
ispiv-125	2	18	and	and	CCONJ
ispiv-125	2	19	on	on	ADP
ispiv-125	2	20	its	its	PRON
ispiv-125	2	21	application	application	NOUN
ispiv-125	2	22	to	to	ADP
ispiv-125	2	23	new	new	ADJ
ispiv-125	2	24	flow	flow	NOUN
ispiv-125	2	25	cases	case	NOUN
ispiv-125	2	26	.	.	PUNCT
ispiv-125	3	1	only	only	ADV
ispiv-125	3	2	a	a	DET
ispiv-125	3	3	small	small	ADJ
ispiv-125	3	4	amount	amount	NOUN
ispiv-125	3	5	of	of	ADP
ispiv-125	3	6	studies	study	NOUN
ispiv-125	3	7	tried	try	VERB
ispiv-125	3	8	to	to	PART
ispiv-125	3	9	quantify	quantify	VERB
ispiv-125	3	10	the	the	DET
ispiv-125	3	11	measurement	measurement	NOUN
ispiv-125	3	12	uncertainties	uncertainty	NOUN
ispiv-125	3	13	linked	link	VERB
ispiv-125	3	14	to	to	ADP
ispiv-125	3	15	these	these	DET
ispiv-125	3	16	volumetric	volumetric	ADJ
ispiv-125	3	17	measurement	measurement	NOUN
ispiv-125	3	18	approaches	approach	NOUN
ispiv-125	3	19	.	.	PUNCT
ispiv-125	4	1	within	within	ADP
ispiv-125	4	2	this	this	DET
ispiv-125	4	3	contribution	contribution	NOUN
ispiv-125	4	4	we	we	PRON
ispiv-125	4	5	want	want	VERB
ispiv-125	4	6	to	to	PART
ispiv-125	4	7	present	present	VERB
ispiv-125	4	8	how	how	SCONJ
ispiv-125	4	9	to	to	PART
ispiv-125	4	10	acquire	acquire	VERB
ispiv-125	4	11	measurement	measurement	NOUN
ispiv-125	4	12	uncertainties	uncertainty	NOUN
ispiv-125	4	13	for	for	ADP
ispiv-125	4	14	the	the	DET
ispiv-125	4	15	position	position	NOUN
ispiv-125	4	16	,	,	PUNCT
ispiv-125	4	17	velocity	velocity	NOUN
ispiv-125	4	18	and	and	CCONJ
ispiv-125	4	19	acceleration	acceleration	NOUN
ispiv-125	4	20	for	for	ADP
ispiv-125	4	21	each	each	DET
ispiv-125	4	22	data	datum	NOUN
ispiv-125	4	23	point	point	NOUN
ispiv-125	4	24	along	along	ADP
ispiv-125	4	25	a	a	DET
ispiv-125	4	26	trajectory	trajectory	NOUN
ispiv-125	4	27	by	by	ADP
ispiv-125	4	28	means	mean	NOUN
ispiv-125	4	29	of	of	ADP
ispiv-125	4	30	linear	linear	ADJ
ispiv-125	4	31	regression	regression	NOUN
ispiv-125	4	32	analysis	analysis	NOUN
ispiv-125	4	33	tools	tool	NOUN
ispiv-125	4	34	.	.	PUNCT
ispiv-125	5	1	based	base	VERB
ispiv-125	5	2	on	on	ADP
ispiv-125	5	3	these	these	DET
ispiv-125	5	4	uncertainties	uncertainty	NOUN
ispiv-125	5	5	,	,	PUNCT
ispiv-125	5	6	an	an	DET
ispiv-125	5	7	adaptive	adaptive	ADJ
ispiv-125	5	8	filtering	filter	VERB
ispiv-125	5	9	approach	approach	NOUN
ispiv-125	5	10	is	be	AUX
ispiv-125	5	11	introduced	introduce	VERB
ispiv-125	5	12	,	,	PUNCT
ispiv-125	5	13	which	which	PRON
ispiv-125	5	14	eliminates	eliminate	VERB
ispiv-125	5	15	the	the	DET
ispiv-125	5	16	user	user	NOUN
ispiv-125	5	17	’s	’s	PART
ispiv-125	5	18	choice	choice	NOUN
ispiv-125	5	19	of	of	ADP
ispiv-125	5	20	the	the	DET
ispiv-125	5	21	filter	filter	NOUN
ispiv-125	5	22	kernel	kernel	PROPN
ispiv-125	5	23	length	length	NOUN
ispiv-125	5	24	and	and	CCONJ
ispiv-125	5	25	which	which	PRON
ispiv-125	5	26	automatically	automatically	ADV
ispiv-125	5	27	determines	determine	VERB
ispiv-125	5	28	its	its	PRON
ispiv-125	5	29	optimal	optimal	ADJ
ispiv-125	5	30	value	value	NOUN
ispiv-125	5	31	.	.	PUNCT
ispiv-125	6	1	1	1	NUM
ispiv-125	6	2	introduction	introduction	NOUN
ispiv-125	6	3	although	although	SCONJ
ispiv-125	6	4	being	be	AUX
ispiv-125	6	5	in	in	ADP
ispiv-125	6	6	research	research	NOUN
ispiv-125	6	7	and	and	CCONJ
ispiv-125	6	8	in	in	ADP
ispiv-125	6	9	application	application	NOUN
ispiv-125	6	10	since	since	SCONJ
ispiv-125	6	11	several	several	ADJ
ispiv-125	6	12	decades	decade	NOUN
ispiv-125	6	13	,	,	PUNCT
ispiv-125	6	14	the	the	DET
ispiv-125	6	15	correct	correct	ADJ
ispiv-125	6	16	quantification	quantification	NOUN
ispiv-125	6	17	of	of	ADP
ispiv-125	6	18	all	all	DET
ispiv-125	6	19	measurement	measurement	NOUN
ispiv-125	6	20	uncertainties	uncertainty	NOUN
ispiv-125	6	21	for	for	ADP
ispiv-125	6	22	the	the	DET
ispiv-125	6	23	particle	particle	NOUN
ispiv-125	6	24	image	image	NOUN
ispiv-125	6	25	velocimetry	velocimetry	NOUN
ispiv-125	6	26	(	(	PUNCT
ispiv-125	6	27	piv	piv	NOUN
ispiv-125	6	28	)	)	PUNCT
ispiv-125	6	29	technique	technique	NOUN
ispiv-125	6	30	is	be	AUX
ispiv-125	6	31	still	still	ADV
ispiv-125	6	32	an	an	DET
ispiv-125	6	33	open	open	ADJ
ispiv-125	6	34	research	research	NOUN
ispiv-125	6	35	topic	topic	NOUN
ispiv-125	6	36	.	.	PUNCT
ispiv-125	7	1	only	only	ADV
ispiv-125	7	2	very	very	ADV
ispiv-125	7	3	recently	recently	ADV
ispiv-125	7	4	,	,	PUNCT
ispiv-125	7	5	a	a	DET
ispiv-125	7	6	further	further	ADJ
ispiv-125	7	7	uncertainty	uncertainty	NOUN
ispiv-125	7	8	quantification	quantification	NOUN
ispiv-125	7	9	approach	approach	NOUN
ispiv-125	7	10	has	have	AUX
ispiv-125	7	11	been	be	AUX
ispiv-125	7	12	proposed	propose	VERB
ispiv-125	7	13	by	by	ADP
ispiv-125	7	14	rajendran	rajendran	PROPN
ispiv-125	7	15	et	et	PROPN
ispiv-125	7	16	al	al	PROPN
ispiv-125	7	17	.	.	PROPN
ispiv-125	7	18	(	(	PUNCT
ispiv-125	7	19	2021	2021	NUM
ispiv-125	7	20	)	)	PUNCT
ispiv-125	7	21	,	,	PUNCT
ispiv-125	7	22	building	build	VERB
ispiv-125	7	23	upon	upon	SCONJ
ispiv-125	7	24	previous	previous	ADJ
ispiv-125	7	25	works	work	NOUN
ispiv-125	7	26	of	of	ADP
ispiv-125	7	27	sciacchitano	sciacchitano	NOUN
ispiv-125	7	28	et	et	PROPN
ispiv-125	7	29	al	al	PROPN
ispiv-125	7	30	.	.	PROPN
ispiv-125	8	1	(	(	PUNCT
ispiv-125	8	2	2015	2015	NUM
ispiv-125	8	3	)	)	PUNCT
ispiv-125	8	4	,	,	PUNCT
ispiv-125	8	5	wieneke	wieneke	NOUN
ispiv-125	8	6	(	(	PUNCT
ispiv-125	8	7	2015	2015	NUM
ispiv-125	8	8	)	)	PUNCT
ispiv-125	8	9	and	and	CCONJ
ispiv-125	8	10	bhattacharya	bhattacharya	PROPN
ispiv-125	8	11	et	et	PROPN
ispiv-125	8	12	al	al	PROPN
ispiv-125	8	13	.	.	PROPN
ispiv-125	9	1	(	(	PUNCT
ispiv-125	9	2	2018	2018	NUM
ispiv-125	9	3	)	)	PUNCT
ispiv-125	9	4	.	.	PUNCT
ispiv-125	10	1	this	this	PRON
ispiv-125	10	2	may	may	AUX
ispiv-125	10	3	seem	seem	VERB
ispiv-125	10	4	surprising	surprising	ADJ
ispiv-125	10	5	as	as	SCONJ
ispiv-125	10	6	the	the	DET
ispiv-125	10	7	first	first	ADJ
ispiv-125	10	8	piv	piv	PROPN
ispiv-125	10	9	measurement	measurement	NOUN
ispiv-125	10	10	applications	application	NOUN
ispiv-125	10	11	have	have	AUX
ispiv-125	10	12	already	already	ADV
ispiv-125	10	13	been	be	AUX
ispiv-125	10	14	done	do	VERB
ispiv-125	10	15	in	in	ADP
ispiv-125	10	16	the	the	DET
ispiv-125	10	17	late	late	ADJ
ispiv-125	10	18	1970s	1970	NOUN
ispiv-125	10	19	and	and	CCONJ
ispiv-125	10	20	early	early	ADJ
ispiv-125	10	21	1980s	1980	NOUN
ispiv-125	10	22	(	(	PUNCT
ispiv-125	10	23	adrian	adrian	PROPN
ispiv-125	10	24	(	(	PUNCT
ispiv-125	10	25	2005	2005	NUM
ispiv-125	10	26	)	)	PUNCT
ispiv-125	10	27	)	)	PUNCT
ispiv-125	10	28	.	.	PUNCT
ispiv-125	11	1	but	but	CCONJ
ispiv-125	11	2	in	in	ADP
ispiv-125	11	3	fact	fact	NOUN
ispiv-125	11	4	,	,	PUNCT
ispiv-125	11	5	it	it	PRON
ispiv-125	11	6	only	only	ADV
ispiv-125	11	7	shows	show	VERB
ispiv-125	11	8	how	how	SCONJ
ispiv-125	11	9	complex	complex	ADJ
ispiv-125	11	10	the	the	DET
ispiv-125	11	11	whole	whole	ADJ
ispiv-125	11	12	measurement	measurement	NOUN
ispiv-125	11	13	chain	chain	NOUN
ispiv-125	11	14	from	from	ADP
ispiv-125	11	15	the	the	DET
ispiv-125	11	16	image	image	NOUN
ispiv-125	11	17	acquisition	acquisition	NOUN
ispiv-125	11	18	to	to	ADP
ispiv-125	11	19	the	the	DET
ispiv-125	11	20	final	final	ADJ
ispiv-125	11	21	velocity	velocity	NOUN
ispiv-125	11	22	field	field	NOUN
ispiv-125	11	23	reconstruction	reconstruction	NOUN
ispiv-125	11	24	is	be	AUX
ispiv-125	11	25	.	.	PUNCT
ispiv-125	12	1	in	in	ADP
ispiv-125	12	2	addition	addition	NOUN
ispiv-125	12	3	,	,	PUNCT
ispiv-125	12	4	many	many	ADJ
ispiv-125	12	5	measurement	measurement	NOUN
ispiv-125	12	6	and	and	CCONJ
ispiv-125	12	7	evaluation	evaluation	NOUN
ispiv-125	12	8	parameters	parameter	NOUN
ispiv-125	12	9	exhibit	exhibit	VERB
ispiv-125	12	10	non	non	ADJ
ispiv-125	12	11	-	-	ADJ
ispiv-125	12	12	trivial	trivial	ADJ
ispiv-125	12	13	and	and	CCONJ
ispiv-125	12	14	non	non	ADJ
ispiv-125	12	15	-	-	ADJ
ispiv-125	12	16	linear	linear	ADJ
ispiv-125	12	17	influences	influence	NOUN
ispiv-125	12	18	on	on	ADP
ispiv-125	12	19	the	the	DET
ispiv-125	12	20	measurement	measurement	NOUN
ispiv-125	12	21	uncertainties	uncertainty	NOUN
ispiv-125	12	22	,	,	PUNCT
ispiv-125	12	23	which	which	PRON
ispiv-125	12	24	makes	make	VERB
ispiv-125	12	25	it	it	PRON
ispiv-125	12	26	even	even	ADV
ispiv-125	12	27	harder	hard	ADV
ispiv-125	12	28	to	to	PART
ispiv-125	12	29	develop	develop	VERB
ispiv-125	12	30	a	a	DET
ispiv-125	12	31	universal	universal	ADJ
ispiv-125	12	32	uncertainty	uncertainty	NOUN
ispiv-125	12	33	quantification	quantification	NOUN
ispiv-125	12	34	framework	framework	NOUN
ispiv-125	12	35	.	.	PUNCT
ispiv-125	13	1	nevertheless	nevertheless	ADV
ispiv-125	13	2	,	,	PUNCT
ispiv-125	13	3	by	by	ADP
ispiv-125	13	4	being	be	AUX
ispiv-125	13	5	able	able	ADJ
ispiv-125	13	6	to	to	PART
ispiv-125	13	7	state	state	VERB
ispiv-125	13	8	a	a	DET
ispiv-125	13	9	reasoned	reason	VERB
ispiv-125	13	10	estimate	estimate	NOUN
ispiv-125	13	11	of	of	ADP
ispiv-125	13	12	the	the	DET
ispiv-125	13	13	involved	involved	ADJ
ispiv-125	13	14	measurement	measurement	NOUN
ispiv-125	13	15	uncertainties	uncertainty	NOUN
ispiv-125	13	16	,	,	PUNCT
ispiv-125	13	17	not	not	PART
ispiv-125	13	18	only	only	ADV
ispiv-125	13	19	a	a	DET
ispiv-125	13	20	more	more	ADV
ispiv-125	13	21	complete	complete	ADJ
ispiv-125	13	22	measurement	measurement	NOUN
ispiv-125	13	23	result	result	NOUN
ispiv-125	13	24	can	can	AUX
ispiv-125	13	25	be	be	AUX
ispiv-125	13	26	given	give	VERB
ispiv-125	13	27	,	,	PUNCT
ispiv-125	13	28	but	but	CCONJ
ispiv-125	13	29	the	the	DET
ispiv-125	13	30	knowledge	knowledge	NOUN
ispiv-125	13	31	of	of	ADP
ispiv-125	13	32	these	these	DET
ispiv-125	13	33	uncertainties	uncertainty	NOUN
ispiv-125	13	34	can	can	AUX
ispiv-125	13	35	also	also	ADV
ispiv-125	13	36	be	be	AUX
ispiv-125	13	37	leveraged	leverage	VERB
ispiv-125	13	38	to	to	PART
ispiv-125	13	39	enhance	enhance	VERB
ispiv-125	13	40	the	the	DET
ispiv-125	13	41	velocity	velocity	NOUN
ispiv-125	13	42	reconstruction	reconstruction	NOUN
ispiv-125	13	43	,	,	PUNCT
ispiv-125	13	44	e.g.	e.g.	ADV
ispiv-125	13	45	by	by	ADP
ispiv-125	13	46	hdr	hdr	NOUN
ispiv-125	13	47	-	-	NOUN
ispiv-125	13	48	piv	piv	NOUN
ispiv-125	13	49	(	(	PUNCT
ispiv-125	13	50	persoons	persoon	NOUN
ispiv-125	13	51	(	(	PUNCT
ispiv-125	13	52	2015	2015	NUM
ispiv-125	13	53	)	)	PUNCT
ispiv-125	13	54	)	)	PUNCT
ispiv-125	13	55	or	or	CCONJ
ispiv-125	13	56	anisotropic	anisotropic	NOUN
ispiv-125	13	57	denoising	denoising	NOUN
ispiv-125	13	58	(	(	PUNCT
ispiv-125	13	59	wieneke	wieneke	NOUN
ispiv-125	13	60	(	(	PUNCT
ispiv-125	13	61	2017	2017	NUM
ispiv-125	13	62	)	)	PUNCT
ispiv-125	13	63	)	)	PUNCT
ispiv-125	13	64	,	,	PUNCT
ispiv-125	13	65	or	or	CCONJ
ispiv-125	13	66	the	the	DET
ispiv-125	13	67	pressure	pressure	NOUN
ispiv-125	13	68	field	field	NOUN
ispiv-125	13	69	reconstruction	reconstruction	NOUN
ispiv-125	13	70	(	(	PUNCT
ispiv-125	13	71	zhang	zhang	X
ispiv-125	13	72	et	et	PROPN
ispiv-125	13	73	al	al	PROPN
ispiv-125	13	74	.	.	PROPN
ispiv-125	13	75	(	(	PUNCT
ispiv-125	13	76	2020	2020	NUM
ispiv-125	13	77	)	)	PUNCT
ispiv-125	13	78	)	)	PUNCT
ispiv-125	13	79	.	.	PUNCT
ispiv-125	14	1	with	with	ADP
ispiv-125	14	2	that	that	PRON
ispiv-125	14	3	in	in	ADP
ispiv-125	14	4	mind	mind	NOUN
ispiv-125	14	5	,	,	PUNCT
ispiv-125	14	6	it	it	PRON
ispiv-125	14	7	is	be	AUX
ispiv-125	14	8	not	not	PART
ispiv-125	14	9	surprising	surprising	ADJ
ispiv-125	14	10	,	,	PUNCT
ispiv-125	14	11	that	that	SCONJ
ispiv-125	14	12	there	there	PRON
ispiv-125	14	13	is	be	VERB
ispiv-125	14	14	only	only	ADV
ispiv-125	14	15	a	a	DET
ispiv-125	14	16	limited	limited	ADJ
ispiv-125	14	17	amount	amount	NOUN
ispiv-125	14	18	of	of	ADP
ispiv-125	14	19	dedicated	dedicated	ADJ
ispiv-125	14	20	research	research	NOUN
ispiv-125	14	21	concerning	concern	VERB
ispiv-125	14	22	the	the	DET
ispiv-125	14	23	measurement	measurement	NOUN
ispiv-125	14	24	quantification	quantification	NOUN
ispiv-125	14	25	of	of	ADP
ispiv-125	14	26	3d	3d	NOUN
ispiv-125	14	27	-	-	PUNCT
ispiv-125	14	28	particle	particle	NOUN
ispiv-125	14	29	tracking	tracking	NOUN
ispiv-125	14	30	velocimetry	velocimetry	NOUN
ispiv-125	14	31	(	(	PUNCT
ispiv-125	14	32	ptv)/	ptv)/	NOUN
ispiv-125	14	33	lagrangian	lagrangian	ADJ
ispiv-125	14	34	particle	particle	NOUN
ispiv-125	14	35	tracking	tracking	NOUN
ispiv-125	14	36	(	(	PUNCT
ispiv-125	14	37	lpt	lpt	PROPN
ispiv-125	14	38	)	)	PUNCT
ispiv-125	14	39	techniques	technique	NOUN
ispiv-125	14	40	,	,	PUNCT
ispiv-125	14	41	which	which	PRON
ispiv-125	14	42	even	even	ADV
ispiv-125	14	43	further	far	ADV
ispiv-125	14	44	enhances	enhance	VERB
ispiv-125	14	45	the	the	DET
ispiv-125	14	46	measurement	measurement	NOUN
ispiv-125	14	47	complexity	complexity	NOUN
ispiv-125	14	48	in	in	ADP
ispiv-125	14	49	comparison	comparison	NOUN
ispiv-125	14	50	to	to	PART
ispiv-125	14	51	planar	planar	VERB
ispiv-125	14	52	piv	piv	NOUN
ispiv-125	14	53	methods	method	NOUN
ispiv-125	14	54	.	.	PUNCT
ispiv-125	15	1	two	two	NUM
ispiv-125	15	2	studies	study	NOUN
ispiv-125	15	3	shall	shall	AUX
ispiv-125	15	4	be	be	AUX
ispiv-125	15	5	mentioned	mention	VERB
ispiv-125	15	6	here	here	ADV
ispiv-125	15	7	.	.	PUNCT
ispiv-125	16	1	these	these	PRON
ispiv-125	16	2	are	be	AUX
ispiv-125	16	3	the	the	DET
ispiv-125	16	4	works	work	NOUN
ispiv-125	16	5	of	of	ADP
ispiv-125	16	6	schneiders	schneider	NOUN
ispiv-125	16	7	and	and	CCONJ
ispiv-125	16	8	sciacchitano	sciacchitano	NOUN
ispiv-125	16	9	(	(	PUNCT
ispiv-125	16	10	2017	2017	NUM
ispiv-125	16	11	)	)	PUNCT
ispiv-125	16	12	and	and	CCONJ
ispiv-125	16	13	bhattacharya	bhattacharya	PROPN
ispiv-125	16	14	and	and	CCONJ
ispiv-125	16	15	vlachos	vlachos	ADJ
ispiv-125	16	16	(	(	PUNCT
ispiv-125	16	17	2020	2020	NUM
ispiv-125	16	18	)	)	PUNCT
ispiv-125	16	19	.	.	PUNCT
ispiv-125	17	1	with	with	ADP
ispiv-125	17	2	the	the	DET
ispiv-125	17	3	track	track	NOUN
ispiv-125	17	4	benchmarking	benchmarke	VERB
ispiv-125	17	5	method	method	NOUN
ispiv-125	17	6	schneiders	schneider	NOUN
ispiv-125	17	7	and	and	CCONJ
ispiv-125	17	8	sciacchitano	sciacchitano	NOUN
ispiv-125	17	9	(	(	PUNCT
ispiv-125	17	10	2017	2017	NUM
ispiv-125	17	11	)	)	PUNCT
ispiv-125	17	12	proposed	propose	VERB
ispiv-125	17	13	a	a	DET
ispiv-125	17	14	technique	technique	NOUN
ispiv-125	17	15	,	,	PUNCT
ispiv-125	17	16	where	where	SCONJ
ispiv-125	17	17	the	the	DET
ispiv-125	17	18	flow	flow	NOUN
ispiv-125	17	19	field	field	NOUN
ispiv-125	17	20	is	be	AUX
ispiv-125	17	21	not	not	PART
ispiv-125	17	22	reconstructed	reconstruct	VERB
ispiv-125	17	23	from	from	ADP
ispiv-125	17	24	the	the	DET
ispiv-125	17	25	total	total	ADJ
ispiv-125	17	26	amount	amount	NOUN
ispiv-125	17	27	of	of	ADP
ispiv-125	17	28	all	all	DET
ispiv-125	17	29	tracked	track	VERB
ispiv-125	17	30	particles	particle	NOUN
ispiv-125	17	31	but	but	CCONJ
ispiv-125	17	32	from	from	ADP
ispiv-125	17	33	a	a	DET
ispiv-125	17	34	reduced	reduce	VERB
ispiv-125	17	35	sub	sub	NOUN
ispiv-125	17	36	set	set	NOUN
ispiv-125	17	37	.	.	PUNCT
ispiv-125	18	1	all	all	DET
ispiv-125	18	2	particles	particle	NOUN
ispiv-125	18	3	not	not	PART
ispiv-125	18	4	considered	consider	VERB
ispiv-125	18	5	in	in	ADP
ispiv-125	18	6	the	the	DET
ispiv-125	18	7	flow	flow	NOUN
ispiv-125	18	8	field	field	NOUN
ispiv-125	18	9	reconstruction	reconstruction	NOUN
ispiv-125	18	10	are	be	AUX
ispiv-125	18	11	then	then	ADV
ispiv-125	18	12	utilized	utilize	VERB
ispiv-125	18	13	to	to	PART
ispiv-125	18	14	estimate	estimate	VERB
ispiv-125	18	15	the	the	DET
ispiv-125	18	16	measurement	measurement	NOUN
ispiv-125	18	17	uncertainty	uncertainty	NOUN
ispiv-125	18	18	.	.	PUNCT
ispiv-125	19	1	an	an	DET
ispiv-125	19	2	approach	approach	NOUN
ispiv-125	19	3	to	to	PART
ispiv-125	19	4	cover	cover	VERB
ispiv-125	19	5	the	the	DET
ispiv-125	19	6	whole	whole	ADJ
ispiv-125	19	7	data	datum	NOUN
ispiv-125	19	8	analysis	analysis	NOUN
ispiv-125	19	9	chain	chain	NOUN
ispiv-125	19	10	from	from	ADP
ispiv-125	19	11	the	the	DET
ispiv-125	19	12	calibration	calibration	NOUN
ispiv-125	19	13	to	to	ADP
ispiv-125	19	14	the	the	DET
ispiv-125	19	15	final	final	ADJ
ispiv-125	19	16	velocity	velocity	NOUN
ispiv-125	19	17	calculation	calculation	NOUN
ispiv-125	19	18	is	be	AUX
ispiv-125	19	19	proposed	propose	VERB
ispiv-125	19	20	by	by	ADP
ispiv-125	19	21	(	(	PUNCT
ispiv-125	19	22	bhattacharya	bhattacharya	NOUN
ispiv-125	19	23	and	and	CCONJ
ispiv-125	19	24	vlachos	vlachos	ADJ
ispiv-125	19	25	,	,	PUNCT
ispiv-125	19	26	2020	2020	NUM
ispiv-125	19	27	)	)	PUNCT
ispiv-125	19	28	and	and	CCONJ
ispiv-125	19	29	may	may	AUX
ispiv-125	19	30	present	present	VERB
ispiv-125	19	31	the	the	DET
ispiv-125	19	32	most	most	ADV
ispiv-125	19	33	complete	complete	ADJ
ispiv-125	19	34	uncertainty	uncertainty	NOUN
ispiv-125	19	35	quantification	quantification	NOUN
ispiv-125	19	36	framework	framework	NOUN
ispiv-125	19	37	up	up	ADP
ispiv-125	19	38	until	until	ADP
ispiv-125	19	39	now	now	ADV
ispiv-125	19	40	.	.	PUNCT
ispiv-125	20	1	here	here	ADV
ispiv-125	20	2	,	,	PUNCT
ispiv-125	20	3	among	among	ADP
ispiv-125	20	4	other	other	ADJ
ispiv-125	20	5	things	thing	NOUN
ispiv-125	20	6	,	,	PUNCT
ispiv-125	20	7	the	the	DET
ispiv-125	20	8	uncertainty	uncertainty	NOUN
ispiv-125	20	9	in	in	ADP
ispiv-125	20	10	the	the	DET
ispiv-125	20	11	velocity	velocity	NOUN
ispiv-125	20	12	calculation	calculation	NOUN
ispiv-125	20	13	is	be	AUX
ispiv-125	20	14	modeled	model	VERB
ispiv-125	20	15	as	as	ADP
ispiv-125	20	16	the	the	DET
ispiv-125	20	17	combined	combine	VERB
ispiv-125	20	18	positional	positional	ADJ
ispiv-125	20	19	uncertainty	uncertainty	NOUN
ispiv-125	20	20	of	of	ADP
ispiv-125	20	21	two	two	NUM
ispiv-125	20	22	paired	pair	VERB
ispiv-125	20	23	particles	particle	NOUN
ispiv-125	20	24	.	.	PUNCT
ispiv-125	21	1	this	this	PRON
ispiv-125	21	2	may	may	AUX
ispiv-125	21	3	be	be	AUX
ispiv-125	21	4	a	a	DET
ispiv-125	21	5	suitable	suitable	ADJ
ispiv-125	21	6	approach	approach	NOUN
ispiv-125	21	7	for	for	ADP
ispiv-125	21	8	2	2	NUM
ispiv-125	21	9	-	-	PUNCT
ispiv-125	21	10	pulse	pulse	NOUN
ispiv-125	21	11	or	or	CCONJ
ispiv-125	21	12	double	double	ADJ
ispiv-125	21	13	-	-	PUNCT
ispiv-125	21	14	frame	frame	NOUN
ispiv-125	21	15	ptv/	ptv/	NOUN
ispiv-125	21	16	lpt	lpt	PROPN
ispiv-125	21	17	measurements	measurement	NOUN
ispiv-125	21	18	but	but	CCONJ
ispiv-125	21	19	dismisses	dismiss	VERB
ispiv-125	21	20	the	the	DET
ispiv-125	21	21	trajectory	trajectory	NOUN
ispiv-125	21	22	filtering	filter	VERB
ispiv-125	21	23	step	step	NOUN
ispiv-125	21	24	applied	apply	VERB
ispiv-125	21	25	in	in	ADP
ispiv-125	21	26	most	most	ADJ
ispiv-125	21	27	time	time	NOUN
ispiv-125	21	28	-	-	PUNCT
ispiv-125	21	29	resolved	resolve	VERB
ispiv-125	21	30	or	or	CCONJ
ispiv-125	21	31	4	4	NUM
ispiv-125	21	32	-	-	PUNCT
ispiv-125	21	33	pulse	pulse	NOUN
ispiv-125	21	34	ptv/	ptv/	NOUN
ispiv-125	21	35	lpt	lpt	PROPN
ispiv-125	21	36	applications	application	NOUN
ispiv-125	21	37	.	.	PUNCT
ispiv-125	22	1	within	within	ADP
ispiv-125	22	2	this	this	DET
ispiv-125	22	3	work	work	NOUN
ispiv-125	22	4	,	,	PUNCT
ispiv-125	22	5	we	we	PRON
ispiv-125	22	6	want	want	VERB
ispiv-125	22	7	to	to	PART
ispiv-125	22	8	highlight	highlight	VERB
ispiv-125	22	9	this	this	DET
ispiv-125	22	10	aspect	aspect	NOUN
ispiv-125	22	11	of	of	ADP
ispiv-125	22	12	a	a	DET
ispiv-125	22	13	3d	3d	NUM
ispiv-125	22	14	-	-	PUNCT
ispiv-125	22	15	ptv	ptv	NOUN
ispiv-125	22	16	analysis	analysis	NOUN
ispiv-125	22	17	by	by	ADP
ispiv-125	22	18	introducing	introduce	VERB
ispiv-125	22	19	a	a	DET
ispiv-125	22	20	simple	simple	ADJ
ispiv-125	22	21	procedure	procedure	NOUN
ispiv-125	22	22	to	to	PART
ispiv-125	22	23	quantify	quantify	VERB
ispiv-125	22	24	the	the	DET
ispiv-125	22	25	local	local	ADJ
ispiv-125	22	26	,	,	PUNCT
ispiv-125	22	27	random	random	ADJ
ispiv-125	22	28	measurement	measurement	NOUN
ispiv-125	22	29	uncertainty	uncertainty	NOUN
ispiv-125	22	30	associated	associate	VERB
ispiv-125	22	31	with	with	ADP
ispiv-125	22	32	the	the	DET
ispiv-125	22	33	filtering	filter	VERB
ispiv-125	22	34	process	process	NOUN
ispiv-125	22	35	.	.	PUNCT
ispiv-125	23	1	our	our	PRON
ispiv-125	23	2	approach	approach	NOUN
ispiv-125	23	3	is	be	AUX
ispiv-125	23	4	utilizing	utilize	VERB
ispiv-125	23	5	linear	linear	ADJ
ispiv-125	23	6	regression	regression	NOUN
ispiv-125	23	7	analysis	analysis	NOUN
ispiv-125	23	8	methods	method	NOUN
ispiv-125	23	9	to	to	PART
ispiv-125	23	10	calculate	calculate	VERB
ispiv-125	23	11	the	the	DET
ispiv-125	23	12	confidence	confidence	NOUN
ispiv-125	23	13	bands	band	NOUN
ispiv-125	23	14	of	of	ADP
ispiv-125	23	15	polynomial	polynomial	ADJ
ispiv-125	23	16	trajectory	trajectory	NOUN
ispiv-125	23	17	filters	filter	NOUN
ispiv-125	23	18	and	and	CCONJ
ispiv-125	23	19	yields	yield	NOUN
ispiv-125	23	20	uncertainty	uncertainty	NOUN
ispiv-125	23	21	estimates	estimate	VERB
ispiv-125	23	22	for	for	ADP
ispiv-125	23	23	the	the	DET
ispiv-125	23	24	position	position	NOUN
ispiv-125	23	25	,	,	PUNCT
ispiv-125	23	26	velocity	velocity	NOUN
ispiv-125	23	27	and	and	CCONJ
ispiv-125	23	28	acceleration	acceleration	NOUN
ispiv-125	23	29	for	for	ADP
ispiv-125	23	30	every	every	DET
ispiv-125	23	31	reconstructed	reconstruct	VERB
ispiv-125	23	32	particle	particle	NOUN
ispiv-125	23	33	trajectory	trajectory	NOUN
ispiv-125	23	34	.	.	PUNCT
ispiv-125	24	1	based	base	VERB
ispiv-125	24	2	on	on	ADP
ispiv-125	24	3	these	these	DET
ispiv-125	24	4	uncertainties	uncertainty	NOUN
ispiv-125	24	5	,	,	PUNCT
ispiv-125	24	6	an	an	DET
ispiv-125	24	7	adaptive	adaptive	ADJ
ispiv-125	24	8	filtering	filter	VERB
ispiv-125	24	9	approach	approach	NOUN
ispiv-125	24	10	is	be	AUX
ispiv-125	24	11	introduced	introduce	VERB
ispiv-125	24	12	,	,	PUNCT
ispiv-125	24	13	which	which	PRON
ispiv-125	24	14	eliminates	eliminate	VERB
ispiv-125	24	15	the	the	DET
ispiv-125	24	16	user	user	NOUN
ispiv-125	24	17	’s	’s	PART
ispiv-125	24	18	choice	choice	NOUN
ispiv-125	24	19	of	of	ADP
ispiv-125	24	20	the	the	DET
ispiv-125	24	21	filter	filter	NOUN
ispiv-125	24	22	kernel	kernel	PROPN
ispiv-125	24	23	length	length	NOUN
ispiv-125	24	24	and	and	CCONJ
ispiv-125	24	25	which	which	PRON
ispiv-125	24	26	automatically	automatically	ADV
ispiv-125	24	27	determines	determine	VERB
ispiv-125	24	28	its	its	PRON
ispiv-125	24	29	optimal	optimal	ADJ
ispiv-125	24	30	value	value	NOUN
ispiv-125	24	31	.	.	PUNCT
ispiv-125	25	1	2	2	NUM
ispiv-125	25	2	uncertainty	uncertainty	NOUN
ispiv-125	25	3	quantification	quantification	NOUN
ispiv-125	25	4	2.1	2.1	NUM
ispiv-125	25	5	linear	linear	NOUN
ispiv-125	25	6	regression	regression	NOUN
ispiv-125	25	7	analysis	analysis	NOUN
ispiv-125	25	8	in	in	ADP
ispiv-125	25	9	many	many	ADJ
ispiv-125	25	10	cases	case	NOUN
ispiv-125	25	11	the	the	DET
ispiv-125	25	12	flow	flow	NOUN
ispiv-125	25	13	velocity	velocity	NOUN
ispiv-125	25	14	is	be	AUX
ispiv-125	25	15	,	,	PUNCT
ispiv-125	25	16	as	as	SCONJ
ispiv-125	25	17	already	already	ADV
ispiv-125	25	18	mentioned	mention	VERB
ispiv-125	25	19	,	,	PUNCT
ispiv-125	25	20	retrieved	retrieve	VERB
ispiv-125	25	21	from	from	ADP
ispiv-125	25	22	the	the	DET
ispiv-125	25	23	discretely	discretely	ADV
ispiv-125	25	24	sampled	sample	VERB
ispiv-125	25	25	trajectory	trajectory	NOUN
ispiv-125	25	26	data	datum	NOUN
ispiv-125	25	27	by	by	ADP
ispiv-125	25	28	a	a	DET
ispiv-125	25	29	polynomial	polynomial	ADJ
ispiv-125	25	30	regression	regression	NOUN
ispiv-125	25	31	.	.	PUNCT
ispiv-125	26	1	when	when	SCONJ
ispiv-125	26	2	utilizing	utilize	VERB
ispiv-125	26	3	such	such	DET
ispiv-125	26	4	a	a	DET
ispiv-125	26	5	least	least	ADJ
ispiv-125	26	6	-	-	PUNCT
ispiv-125	26	7	square	square	NOUN
ispiv-125	26	8	regression	regression	NOUN
ispiv-125	26	9	approach	approach	NOUN
ispiv-125	26	10	,	,	PUNCT
ispiv-125	26	11	not	not	PART
ispiv-125	26	12	only	only	ADV
ispiv-125	26	13	the	the	DET
ispiv-125	26	14	actual	actual	ADJ
ispiv-125	26	15	values	value	NOUN
ispiv-125	26	16	of	of	ADP
ispiv-125	26	17	the	the	DET
ispiv-125	26	18	modeled	model	VERB
ispiv-125	26	19	polynomial	polynomial	ADJ
ispiv-125	26	20	coefficients	coefficient	NOUN
ispiv-125	26	21	,	,	PUNCT
ispiv-125	26	22	and	and	CCONJ
ispiv-125	26	23	therefore	therefore	ADV
ispiv-125	26	24	the	the	DET
ispiv-125	26	25	filtered	filter	VERB
ispiv-125	26	26	position	position	NOUN
ispiv-125	26	27	,	,	PUNCT
ispiv-125	26	28	velocity	velocity	NOUN
ispiv-125	26	29	and	and	CCONJ
ispiv-125	26	30	acceleration	acceleration	NOUN
ispiv-125	26	31	data	datum	NOUN
ispiv-125	26	32	,	,	PUNCT
ispiv-125	26	33	are	be	AUX
ispiv-125	26	34	obtainable	obtainable	ADJ
ispiv-125	26	35	but	but	CCONJ
ispiv-125	26	36	also	also	ADV
ispiv-125	26	37	their	their	PRON
ispiv-125	26	38	corresponding	correspond	VERB
ispiv-125	26	39	uncertainty	uncertainty	NOUN
ispiv-125	26	40	estimations	estimation	NOUN
ispiv-125	26	41	.	.	PUNCT
ispiv-125	27	1	these	these	PRON
ispiv-125	27	2	are	be	AUX
ispiv-125	27	3	often	often	ADV
ispiv-125	27	4	not	not	PART
ispiv-125	27	5	considered	consider	VERB
ispiv-125	27	6	or	or	CCONJ
ispiv-125	27	7	simply	simply	ADV
ispiv-125	27	8	neglected	neglect	VERB
ispiv-125	27	9	although	although	SCONJ
ispiv-125	27	10	their	their	PRON
ispiv-125	27	11	calculation	calculation	NOUN
ispiv-125	27	12	is	be	AUX
ispiv-125	27	13	quite	quite	ADV
ispiv-125	27	14	simple	simple	ADJ
ispiv-125	27	15	.	.	PUNCT
ispiv-125	28	1	the	the	DET
ispiv-125	28	2	starting	starting	NOUN
ispiv-125	28	3	point	point	NOUN
ispiv-125	28	4	of	of	ADP
ispiv-125	28	5	this	this	DET
ispiv-125	28	6	analysis	analysis	NOUN
ispiv-125	28	7	are	be	AUX
ispiv-125	28	8	the	the	PRON
ispiv-125	28	9	discrete	discrete	ADJ
ispiv-125	28	10	one	one	NUM
ispiv-125	28	11	-	-	PUNCT
ispiv-125	28	12	dimensional	dimensional	ADJ
ispiv-125	28	13	positional	positional	ADJ
ispiv-125	28	14	time	time	NOUN
ispiv-125	28	15	-	-	PUNCT
ispiv-125	28	16	dependent	dependent	ADJ
ispiv-125	28	17	measurement	measurement	NOUN
ispiv-125	28	18	points	point	VERB
ispiv-125	28	19	y	y	PROPN
ispiv-125	28	20	(	(	PUNCT
ispiv-125	28	21	see	see	VERB
ispiv-125	28	22	fig	fig	NOUN
ispiv-125	28	23	.	.	PUNCT
ispiv-125	29	1	1	1	NUM
ispiv-125	29	2	)	)	PUNCT
ispiv-125	29	3	.	.	PUNCT
ispiv-125	30	1	now	now	ADV
ispiv-125	30	2	,	,	PUNCT
ispiv-125	30	3	our	our	PRON
ispiv-125	30	4	main	main	ADJ
ispiv-125	30	5	goal	goal	NOUN
ispiv-125	30	6	is	be	AUX
ispiv-125	30	7	to	to	PART
ispiv-125	30	8	obtain	obtain	VERB
ispiv-125	30	9	the	the	DET
ispiv-125	30	10	velocity	velocity	NOUN
ispiv-125	30	11	at	at	ADP
ispiv-125	30	12	every	every	DET
ispiv-125	30	13	measurement	measurement	NOUN
ispiv-125	30	14	position	position	NOUN
ispiv-125	30	15	along	along	ADP
ispiv-125	30	16	the	the	DET
ispiv-125	30	17	trajectory	trajectory	NOUN
ispiv-125	30	18	.	.	PUNCT
ispiv-125	31	1	in	in	ADP
ispiv-125	31	2	order	order	NOUN
ispiv-125	31	3	to	to	PART
ispiv-125	31	4	achieve	achieve	VERB
ispiv-125	31	5	this	this	PRON
ispiv-125	31	6	,	,	PUNCT
ispiv-125	31	7	a	a	DET
ispiv-125	31	8	polynomial	polynomial	ADJ
ispiv-125	31	9	regression	regression	NOUN
ispiv-125	31	10	is	be	AUX
ispiv-125	31	11	performed	perform	VERB
ispiv-125	31	12	.	.	PUNCT
ispiv-125	32	1	the	the	DET
ispiv-125	32	2	linear	linear	ADJ
ispiv-125	32	3	equation	equation	NOUN
ispiv-125	32	4	system	system	NOUN
ispiv-125	32	5	to	to	PART
ispiv-125	32	6	solve	solve	VERB
ispiv-125	32	7	this	this	DET
ispiv-125	32	8	regression	regression	NOUN
ispiv-125	32	9	can	can	AUX
ispiv-125	32	10	be	be	AUX
ispiv-125	32	11	written	write	VERB
ispiv-125	32	12	as	as	ADP
ispiv-125	32	13	ab	ab	PROPN
ispiv-125	32	14	=	=	PROPN
ispiv-125	32	15	y	y	PROPN
ispiv-125	32	16	.	.	PUNCT
ispiv-125	33	1	(	(	PUNCT
ispiv-125	33	2	1	1	X
ispiv-125	33	3	)	)	PUNCT
ispiv-125	33	4	here	here	ADV
ispiv-125	33	5	,	,	PUNCT
ispiv-125	33	6	the	the	DET
ispiv-125	33	7	matrix	matrix	NOUN
ispiv-125	33	8	a	a	PRON
ispiv-125	33	9	contains	contain	VERB
ispiv-125	33	10	the	the	DET
ispiv-125	33	11	information	information	NOUN
ispiv-125	33	12	of	of	ADP
ispiv-125	33	13	all	all	DET
ispiv-125	33	14	time	time	NOUN
ispiv-125	33	15	steps	step	NOUN
ispiv-125	33	16	t	t	PROPN
ispiv-125	33	17	for	for	ADP
ispiv-125	33	18	all	all	DET
ispiv-125	33	19	coordinate	coordinate	NOUN
ispiv-125	33	20	points	point	NOUN
ispiv-125	33	21	within	within	ADP
ispiv-125	33	22	the	the	DET
ispiv-125	33	23	considered	consider	VERB
ispiv-125	33	24	filter	filter	NOUN
ispiv-125	33	25	window	window	NOUN
ispiv-125	33	26	a	a	DET
ispiv-125	33	27	=	=	SYM
ispiv-125	33	28			ADJ
ispiv-125	33	29	1	1	NUM
ispiv-125	33	30	t0	t0	NOUN
ispiv-125	33	31	t2	t2	NOUN
ispiv-125	33	32	0	0	NUM
ispiv-125	33	33	...	...	PUNCT
ispiv-125	34	1	t	t	PROPN
ispiv-125	34	2	p	p	NOUN
ispiv-125	34	3	0	0	NUM
ispiv-125	34	4	1	1	NUM
ispiv-125	34	5	t1	t1	NOUN
ispiv-125	34	6	t2	t2	NOUN
ispiv-125	34	7	1	1	NUM
ispiv-125	34	8	...	...	PUNCT
ispiv-125	35	1	t	t	PROPN
ispiv-125	35	2	p	p	NOUN
ispiv-125	35	3	1	1	NUM
ispiv-125	35	4	...	...	PUNCT
ispiv-125	35	5	...	...	PUNCT
ispiv-125	35	6	...	...	PUNCT
ispiv-125	35	7	...	...	PUNCT
ispiv-125	35	8	...	...	PUNCT
ispiv-125	36	1	1	1	NUM
ispiv-125	36	2	tn	tn	NOUN
ispiv-125	36	3	t2	t2	PROPN
ispiv-125	36	4	n	n	CCONJ
ispiv-125	36	5	...	...	PUNCT
ispiv-125	36	6	t	t	PROPN
ispiv-125	36	7	p	p	NOUN
ispiv-125	36	8	n	n	PRON
ispiv-125	36	9			NOUN
ispiv-125	36	10	.	.	PUNCT
ispiv-125	37	1	(	(	PUNCT
ispiv-125	37	2	2	2	X
ispiv-125	37	3	)	)	PUNCT
ispiv-125	37	4	the	the	DET
ispiv-125	37	5	vector	vector	PROPN
ispiv-125	37	6	b	b	PROPN
ispiv-125	37	7	contains	contain	VERB
ispiv-125	37	8	the	the	DET
ispiv-125	37	9	polynomial	polynomial	ADJ
ispiv-125	37	10	coefficients	coefficient	NOUN
ispiv-125	37	11	to	to	PART
ispiv-125	37	12	be	be	AUX
ispiv-125	37	13	fitted	fit	VERB
ispiv-125	37	14	b	b	NOUN
ispiv-125	37	15	=	=	SYM
ispiv-125	37	16			PROPN
ispiv-125	37	17	b0	b0	PROPN
ispiv-125	37	18	b1	b1	PROPN
ispiv-125	37	19	...	...	PUNCT
ispiv-125	37	20	bp	bp	PROPN
ispiv-125	37	21			PROPN
ispiv-125	37	22	(	(	PUNCT
ispiv-125	37	23	3	3	NUM
ispiv-125	37	24	)	)	PUNCT
ispiv-125	37	25	and	and	CCONJ
ispiv-125	37	26	vector	vector	NOUN
ispiv-125	37	27	y	y	PROPN
ispiv-125	37	28	holds	hold	VERB
ispiv-125	37	29	all	all	DET
ispiv-125	37	30	measured	measured	ADJ
ispiv-125	37	31	positions	position	NOUN
ispiv-125	37	32	belonging	belong	VERB
ispiv-125	37	33	to	to	ADP
ispiv-125	37	34	t0	t0	PROPN
ispiv-125	37	35	..	..	PUNCT
ispiv-125	38	1	tn	tn	PROPN
ispiv-125	38	2	y	y	NOUN
ispiv-125	38	3	=	=	SYM
ispiv-125	39	1			NUM
ispiv-125	39	2	y0	y0	NOUN
ispiv-125	39	3	y1	y1	NOUN
ispiv-125	39	4	...	...	PUNCT
ispiv-125	39	5	yn	yn	NUM
ispiv-125	39	6			NOUN
ispiv-125	39	7	.	.	PUNCT
ispiv-125	40	1	(	(	PUNCT
ispiv-125	40	2	4	4	X
ispiv-125	40	3	)	)	PUNCT
ispiv-125	40	4	the	the	DET
ispiv-125	40	5	index	index	NOUN
ispiv-125	40	6	n	n	NOUN
ispiv-125	40	7	denotes	denote	VERB
ispiv-125	40	8	the	the	DET
ispiv-125	40	9	number	number	NOUN
ispiv-125	40	10	of	of	ADP
ispiv-125	40	11	sample	sample	NOUN
ispiv-125	40	12	points	point	NOUN
ispiv-125	40	13	within	within	ADP
ispiv-125	40	14	the	the	DET
ispiv-125	40	15	defined	define	VERB
ispiv-125	40	16	regression	regression	NOUN
ispiv-125	40	17	window	window	NOUN
ispiv-125	40	18	length	length	NOUN
ispiv-125	40	19	,	,	PUNCT
ispiv-125	40	20	and	and	CCONJ
ispiv-125	40	21	p	p	NOUN
ispiv-125	40	22	corresponds	correspond	VERB
ispiv-125	40	23	to	to	ADP
ispiv-125	40	24	the	the	DET
ispiv-125	40	25	order/	order/	NUM
ispiv-125	40	26	degree	degree	NOUN
ispiv-125	40	27	of	of	ADP
ispiv-125	40	28	the	the	DET
ispiv-125	40	29	polynomial	polynomial	NOUN
ispiv-125	40	30	.	.	PUNCT
ispiv-125	41	1	at	at	ADP
ispiv-125	41	2	this	this	DET
ispiv-125	41	3	point	point	NOUN
ispiv-125	41	4	,	,	PUNCT
ispiv-125	41	5	the	the	DET
ispiv-125	41	6	number	number	NOUN
ispiv-125	41	7	of	of	ADP
ispiv-125	41	8	coefficients	coefficient	NOUN
ispiv-125	42	1	k	k	PROPN
ispiv-125	42	2	as	as	ADP
ispiv-125	42	3	k	k	PROPN
ispiv-125	42	4	=	=	PROPN
ispiv-125	42	5	p+1	p+1	PROPN
ispiv-125	42	6	and	and	CCONJ
ispiv-125	42	7	the	the	DET
ispiv-125	42	8	degree	degree	NOUN
ispiv-125	42	9	of	of	ADP
ispiv-125	42	10	freedom	freedom	NOUN
ispiv-125	42	11	dof	dof	NOUN
ispiv-125	42	12	of	of	ADP
ispiv-125	42	13	the	the	DET
ispiv-125	42	14	regression	regression	NOUN
ispiv-125	42	15	dof	dof	NOUN
ispiv-125	42	16	=	=	PUNCT
ispiv-125	42	17	n−	n−	NOUN
ispiv-125	42	18	k	k	NOUN
ispiv-125	42	19	=	=	PUNCT
ispiv-125	42	20	n−	n−	PROPN
ispiv-125	42	21	p−1	p−1	PROPN
ispiv-125	42	22	(	(	PUNCT
ispiv-125	42	23	5	5	NUM
ispiv-125	42	24	)	)	PUNCT
ispiv-125	42	25	shall	shall	AUX
ispiv-125	42	26	be	be	AUX
ispiv-125	42	27	further	far	ADV
ispiv-125	42	28	defined	define	VERB
ispiv-125	42	29	.	.	PUNCT
ispiv-125	43	1	in	in	ADP
ispiv-125	43	2	order	order	NOUN
ispiv-125	43	3	to	to	PART
ispiv-125	43	4	determine	determine	VERB
ispiv-125	43	5	the	the	DET
ispiv-125	43	6	polynomial	polynomial	ADJ
ispiv-125	43	7	coefficients	coefficient	NOUN
ispiv-125	43	8	b	b	NOUN
ispiv-125	43	9	,	,	PUNCT
ispiv-125	43	10	eq	eq	NOUN
ispiv-125	43	11	.	.	PUNCT
ispiv-125	43	12	(	(	PUNCT
ispiv-125	43	13	1	1	X
ispiv-125	43	14	)	)	PUNCT
ispiv-125	43	15	is	be	AUX
ispiv-125	43	16	rearranged	rearrange	VERB
ispiv-125	43	17	to	to	ADP
ispiv-125	43	18	b	b	NOUN
ispiv-125	43	19	=	=	PUNCT
ispiv-125	43	20	(	(	PUNCT
ispiv-125	43	21	at	at	ADP
ispiv-125	43	22	a)−1at	a)−1at	PROPN
ispiv-125	43	23	y	y	PROPN
ispiv-125	43	24	(	(	PUNCT
ispiv-125	43	25	6	6	NUM
ispiv-125	43	26	)	)	PUNCT
ispiv-125	43	27	and	and	CCONJ
ispiv-125	43	28	can	can	AUX
ispiv-125	43	29	be	be	AUX
ispiv-125	43	30	solved	solve	VERB
ispiv-125	43	31	by	by	ADP
ispiv-125	43	32	any	any	DET
ispiv-125	43	33	least	least	ADJ
ispiv-125	43	34	square	square	ADJ
ispiv-125	43	35	matching	matching	NOUN
ispiv-125	43	36	method	method	NOUN
ispiv-125	43	37	.	.	PUNCT
ispiv-125	44	1	finally	finally	ADV
ispiv-125	44	2	,	,	PUNCT
ispiv-125	44	3	the	the	DET
ispiv-125	44	4	fitted/	fitted/	NUM
ispiv-125	44	5	filtered	filter	VERB
ispiv-125	44	6	positions	position	NOUN
ispiv-125	44	7	ŷ	ŷ	NUM
ispiv-125	44	8	of	of	ADP
ispiv-125	44	9	the	the	DET
ispiv-125	44	10	original	original	ADJ
ispiv-125	44	11	measurement	measurement	NOUN
ispiv-125	44	12	data	datum	NOUN
ispiv-125	44	13	y	y	PROPN
ispiv-125	44	14	can	can	AUX
ispiv-125	44	15	be	be	AUX
ispiv-125	44	16	retrieved	retrieve	VERB
ispiv-125	44	17	.	.	PUNCT
ispiv-125	45	1	for	for	ADP
ispiv-125	45	2	every	every	DET
ispiv-125	45	3	regression	regression	NOUN
ispiv-125	45	4	coefficient	coefficient	NOUN
ispiv-125	45	5	b	b	ADP
ispiv-125	45	6	an	an	DET
ispiv-125	45	7	additional	additional	ADJ
ispiv-125	45	8	confidence	confidence	NOUN
ispiv-125	45	9	interval	interval	NOUN
ispiv-125	45	10	0.2	0.2	NUM
ispiv-125	45	11	0.1	0.1	NUM
ispiv-125	45	12	0.0	0.0	NUM
ispiv-125	45	13	0.1	0.1	NUM
ispiv-125	45	14	0.2	0.2	NUM
ispiv-125	45	15	time	time	NOUN
ispiv-125	45	16	[	[	X
ispiv-125	45	17	s	s	X
ispiv-125	45	18	]	]	X
ispiv-125	45	19	3	3	NUM
ispiv-125	45	20	4	4	NUM
ispiv-125	45	21	5	5	NUM
ispiv-125	45	22	6	6	NUM
ispiv-125	45	23	7	7	NUM
ispiv-125	45	24	8	8	NUM
ispiv-125	45	25	co	co	NOUN
ispiv-125	45	26	or	or	CCONJ
ispiv-125	45	27	di	di	VERB
ispiv-125	45	28	na	na	NOUN
ispiv-125	45	29	te	te	PROPN
ispiv-125	45	30	[	[	X
ispiv-125	45	31	m	m	VERB
ispiv-125	45	32	m	m	VERB
ispiv-125	45	33	]	]	PUNCT
ispiv-125	45	34	ground	ground	NOUN
ispiv-125	45	35	truth	truth	NOUN
ispiv-125	45	36	ygt	ygt	VERB
ispiv-125	45	37	fitted	fit	VERB
ispiv-125	45	38	data	datum	NOUN
ispiv-125	45	39	y	y	PROPN
ispiv-125	45	40	measurement	measurement	PROPN
ispiv-125	45	41	data	data	VERB
ispiv-125	45	42	y	y	PROPN
ispiv-125	45	43	confidence	confidence	NOUN
ispiv-125	45	44	interval	interval	NOUN
ispiv-125	45	45	ci	ci	PROPN
ispiv-125	45	46	figure	figure	NOUN
ispiv-125	45	47	1	1	NUM
ispiv-125	45	48	:	:	PUNCT
ispiv-125	45	49	exemplary	exemplary	ADJ
ispiv-125	45	50	synthetic	synthetic	PROPN
ispiv-125	45	51	lpt	lpt	PROPN
ispiv-125	45	52	data	datum	NOUN
ispiv-125	45	53	including	include	VERB
ispiv-125	45	54	the	the	DET
ispiv-125	45	55	known	know	VERB
ispiv-125	45	56	ground	ground	NOUN
ispiv-125	45	57	truth	truth	NOUN
ispiv-125	45	58	ygt	ygt	NOUN
ispiv-125	45	59	,	,	PUNCT
ispiv-125	45	60	the	the	DET
ispiv-125	45	61	noisy	noisy	ADJ
ispiv-125	45	62	measurement	measurement	NOUN
ispiv-125	45	63	data	data	PROPN
ispiv-125	45	64	y	y	PROPN
ispiv-125	45	65	,	,	PUNCT
ispiv-125	45	66	the	the	DET
ispiv-125	45	67	filtered	filter	VERB
ispiv-125	45	68	data	datum	NOUN
ispiv-125	45	69	after	after	ADP
ispiv-125	45	70	the	the	DET
ispiv-125	45	71	polynomial	polynomial	ADJ
ispiv-125	45	72	regression	regression	NOUN
ispiv-125	45	73	ŷ	ŷ	PUNCT
ispiv-125	46	1	and	and	CCONJ
ispiv-125	46	2	the	the	DET
ispiv-125	46	3	estimated	estimate	VERB
ispiv-125	46	4	confidence/	confidence/	NUM
ispiv-125	46	5	uncertainty	uncertainty	NOUN
ispiv-125	46	6	interval	interval	PROPN
ispiv-125	46	7	ci	ci	PROPN
ispiv-125	46	8	.	.	PROPN
ispiv-125	46	9	ci	ci	PROPN
ispiv-125	46	10	can	can	AUX
ispiv-125	46	11	be	be	AUX
ispiv-125	46	12	assigned	assign	VERB
ispiv-125	46	13	further	far	ADV
ispiv-125	46	14	,	,	PUNCT
ispiv-125	46	15	which	which	PRON
ispiv-125	46	16	gives	give	VERB
ispiv-125	46	17	an	an	DET
ispiv-125	46	18	uncertainty	uncertainty	NOUN
ispiv-125	46	19	estimate	estimate	NOUN
ispiv-125	46	20	of	of	ADP
ispiv-125	46	21	exactly	exactly	ADV
ispiv-125	46	22	this	this	DET
ispiv-125	46	23	coefficient	coefficient	NOUN
ispiv-125	46	24	.	.	PUNCT
ispiv-125	47	1	the	the	DET
ispiv-125	47	2	confidence	confidence	NOUN
ispiv-125	47	3	interval	interval	NOUN
ispiv-125	47	4	is	be	AUX
ispiv-125	47	5	commonly	commonly	ADV
ispiv-125	47	6	chosen	choose	VERB
ispiv-125	47	7	to	to	PART
ispiv-125	47	8	have	have	VERB
ispiv-125	47	9	a	a	DET
ispiv-125	47	10	confidence	confidence	NOUN
ispiv-125	47	11	level	level	NOUN
ispiv-125	47	12	of	of	ADP
ispiv-125	47	13	95	95	NUM
ispiv-125	47	14	%	%	NOUN
ispiv-125	47	15	.	.	PUNCT
ispiv-125	48	1	this	this	PRON
ispiv-125	48	2	can	can	AUX
ispiv-125	48	3	be	be	AUX
ispiv-125	48	4	interpreted	interpret	VERB
ispiv-125	48	5	as	as	ADP
ispiv-125	48	6	the	the	DET
ispiv-125	48	7	following	following	NOUN
ispiv-125	48	8	:	:	PUNCT
ispiv-125	48	9	if	if	SCONJ
ispiv-125	48	10	we	we	PRON
ispiv-125	48	11	would	would	AUX
ispiv-125	48	12	infinitely	infinitely	ADV
ispiv-125	48	13	repeat	repeat	VERB
ispiv-125	48	14	the	the	DET
ispiv-125	48	15	regression	regression	NOUN
ispiv-125	48	16	with	with	ADP
ispiv-125	48	17	different	different	ADJ
ispiv-125	48	18	measurement	measurement	NOUN
ispiv-125	48	19	values	value	NOUN
ispiv-125	48	20	y	y	PROPN
ispiv-125	48	21	,	,	PUNCT
ispiv-125	48	22	which	which	PRON
ispiv-125	48	23	scatter	scatter	VERB
ispiv-125	48	24	around	around	ADP
ispiv-125	48	25	the	the	DET
ispiv-125	48	26	ground	ground	NOUN
ispiv-125	48	27	truth	truth	NOUN
ispiv-125	48	28	ygt	ygt	INTJ
ispiv-125	48	29	,	,	PUNCT
ispiv-125	48	30	we	we	PRON
ispiv-125	48	31	can	can	AUX
ispiv-125	48	32	be	be	AUX
ispiv-125	48	33	confident	confident	ADJ
ispiv-125	48	34	,	,	PUNCT
ispiv-125	48	35	that	that	SCONJ
ispiv-125	48	36	in	in	ADP
ispiv-125	48	37	95	95	NUM
ispiv-125	48	38	%	%	NOUN
ispiv-125	48	39	of	of	ADP
ispiv-125	48	40	all	all	DET
ispiv-125	48	41	cases	case	NOUN
ispiv-125	48	42	our	our	PRON
ispiv-125	48	43	true	true	ADJ
ispiv-125	48	44	value	value	NOUN
ispiv-125	48	45	ygt	ygt	NOUN
ispiv-125	48	46	lies	lie	VERB
ispiv-125	48	47	within	within	ADP
ispiv-125	48	48	the	the	DET
ispiv-125	48	49	calculated	calculated	ADJ
ispiv-125	48	50	confidence	confidence	NOUN
ispiv-125	48	51	band	band	NOUN
ispiv-125	49	1	ŷ±ci	ŷ±ci	PROPN
ispiv-125	49	2	.	.	PUNCT
ispiv-125	50	1	if	if	SCONJ
ispiv-125	50	2	we	we	PRON
ispiv-125	50	3	define	define	VERB
ispiv-125	50	4	the	the	DET
ispiv-125	50	5	confidence	confidence	NOUN
ispiv-125	50	6	level	level	NOUN
ispiv-125	50	7	at	at	ADP
ispiv-125	50	8	68	68	NUM
ispiv-125	50	9	%	%	NOUN
ispiv-125	50	10	,	,	PUNCT
ispiv-125	50	11	90	90	NUM
ispiv-125	50	12	%	%	NOUN
ispiv-125	50	13	or	or	CCONJ
ispiv-125	50	14	any	any	DET
ispiv-125	50	15	arbitrarily	arbitrarily	ADV
ispiv-125	50	16	chosen	choose	VERB
ispiv-125	50	17	value	value	NOUN
ispiv-125	50	18	,	,	PUNCT
ispiv-125	50	19	the	the	DET
ispiv-125	50	20	interpretation	interpretation	NOUN
ispiv-125	50	21	is	be	AUX
ispiv-125	50	22	accordingly	accordingly	ADV
ispiv-125	50	23	.	.	PUNCT
ispiv-125	51	1	the	the	DET
ispiv-125	51	2	equation	equation	NOUN
ispiv-125	51	3	to	to	PART
ispiv-125	51	4	obtain	obtain	VERB
ispiv-125	51	5	the	the	DET
ispiv-125	51	6	confidence	confidence	NOUN
ispiv-125	51	7	interval	interval	NOUN
ispiv-125	51	8	for	for	ADP
ispiv-125	51	9	each	each	DET
ispiv-125	51	10	polynomial	polynomial	ADJ
ispiv-125	51	11	coefficient	coefficient	NOUN
ispiv-125	51	12	is	be	AUX
ispiv-125	51	13	commonly	commonly	ADV
ispiv-125	51	14	defined	define	VERB
ispiv-125	51	15	as	as	ADP
ispiv-125	51	16	ci	ci	NOUN
ispiv-125	51	17	=	=	PUNCT
ispiv-125	51	18	t∗(dof,1−α/2	t∗(dof,1−α/2	PROPN
ispiv-125	51	19	)	)	PUNCT
ispiv-125	51	20	·	·	PUNCT
ispiv-125	52	1	√	√	PROPN
ispiv-125	52	2	mse	mse	NOUN
ispiv-125	52	3	·	·	SYM
ispiv-125	52	4	diag	diag	PROPN
ispiv-125	52	5	(	(	PUNCT
ispiv-125	52	6	ata	ata	INTJ
ispiv-125	52	7	)	)	PUNCT
ispiv-125	52	8	−1	−1	NOUN
ispiv-125	52	9	(	(	PUNCT
ispiv-125	52	10	7	7	NUM
ispiv-125	52	11	)	)	PUNCT
ispiv-125	52	12	here	here	ADV
ispiv-125	52	13	t∗(dof,1−α/2	t∗(dof,1−α/2	NUM
ispiv-125	52	14	)	)	PUNCT
ispiv-125	52	15	is	be	AUX
ispiv-125	52	16	the	the	DET
ispiv-125	52	17	student	student	NOUN
ispiv-125	52	18	t	t	PROPN
ispiv-125	52	19	multiplier	multiplier	ADV
ispiv-125	52	20	and	and	CCONJ
ispiv-125	52	21	is	be	AUX
ispiv-125	52	22	dependent	dependent	ADJ
ispiv-125	52	23	on	on	ADP
ispiv-125	52	24	the	the	DET
ispiv-125	52	25	degree	degree	NOUN
ispiv-125	52	26	of	of	ADP
ispiv-125	52	27	freedom	freedom	NOUN
ispiv-125	52	28	dof	dof	NOUN
ispiv-125	52	29	of	of	ADP
ispiv-125	52	30	the	the	DET
ispiv-125	52	31	regression	regression	NOUN
ispiv-125	52	32	problem	problem	NOUN
ispiv-125	52	33	and	and	CCONJ
ispiv-125	52	34	1	1	NUM
ispiv-125	52	35	α/2	α/2	NUM
ispiv-125	52	36	defines	define	VERB
ispiv-125	52	37	the	the	DET
ispiv-125	52	38	confidence	confidence	NOUN
ispiv-125	52	39	level	level	NOUN
ispiv-125	52	40	.	.	PUNCT
ispiv-125	53	1	for	for	ADP
ispiv-125	53	2	example	example	NOUN
ispiv-125	53	3	,	,	PUNCT
ispiv-125	53	4	if	if	SCONJ
ispiv-125	53	5	α	α	PRON
ispiv-125	53	6	is	be	AUX
ispiv-125	53	7	chosen	choose	VERB
ispiv-125	53	8	to	to	PART
ispiv-125	53	9	be	be	AUX
ispiv-125	53	10	α	α	NOUN
ispiv-125	53	11	=	=	NOUN
ispiv-125	53	12	0.05	0.05	NUM
ispiv-125	53	13	,	,	PUNCT
ispiv-125	53	14	this	this	PRON
ispiv-125	53	15	would	would	AUX
ispiv-125	53	16	correspond	correspond	VERB
ispiv-125	53	17	to	to	ADP
ispiv-125	53	18	a	a	DET
ispiv-125	53	19	confidence	confidence	NOUN
ispiv-125	53	20	level	level	NOUN
ispiv-125	53	21	of	of	ADP
ispiv-125	53	22	95	95	NUM
ispiv-125	53	23	%	%	NOUN
ispiv-125	53	24	.	.	PUNCT
ispiv-125	54	1	if	if	SCONJ
ispiv-125	54	2	the	the	DET
ispiv-125	54	3	underlying	underlie	VERB
ispiv-125	54	4	uncertainty	uncertainty	NOUN
ispiv-125	54	5	in	in	ADP
ispiv-125	54	6	the	the	DET
ispiv-125	54	7	data	datum	NOUN
ispiv-125	54	8	would	would	AUX
ispiv-125	54	9	be	be	AUX
ispiv-125	54	10	known	know	VERB
ispiv-125	54	11	,	,	PUNCT
ispiv-125	54	12	its	its	PRON
ispiv-125	54	13	standard	standard	ADJ
ispiv-125	54	14	deviation	deviation	NOUN
ispiv-125	54	15	σ	σ	NOUN
ispiv-125	54	16	could	could	AUX
ispiv-125	54	17	be	be	AUX
ispiv-125	54	18	directly	directly	ADV
ispiv-125	54	19	applied	apply	VERB
ispiv-125	54	20	here	here	ADV
ispiv-125	54	21	.	.	PUNCT
ispiv-125	55	1	but	but	CCONJ
ispiv-125	55	2	since	since	SCONJ
ispiv-125	55	3	we	we	PRON
ispiv-125	55	4	do	do	AUX
ispiv-125	55	5	not	not	PART
ispiv-125	55	6	have	have	VERB
ispiv-125	55	7	any	any	DET
ispiv-125	55	8	prior	prior	ADJ
ispiv-125	55	9	information	information	NOUN
ispiv-125	55	10	on	on	ADP
ispiv-125	55	11	the	the	DET
ispiv-125	55	12	measurement	measurement	NOUN
ispiv-125	55	13	noise	noise	NOUN
ispiv-125	55	14	in	in	ADP
ispiv-125	55	15	our	our	PRON
ispiv-125	55	16	case	case	NOUN
ispiv-125	55	17	,	,	PUNCT
ispiv-125	55	18	σ	σ	PROPN
ispiv-125	55	19	is	be	AUX
ispiv-125	55	20	estimated	estimate	VERB
ispiv-125	55	21	by	by	ADP
ispiv-125	55	22	the	the	DET
ispiv-125	55	23	root	root	NOUN
ispiv-125	55	24	mean	mean	NOUN
ispiv-125	55	25	square	square	ADJ
ispiv-125	55	26	error	error	NOUN
ispiv-125	55	27	√	√	NOUN
ispiv-125	55	28	mse	mse	NOUN
ispiv-125	55	29	multiplied	multiply	VERB
ispiv-125	55	30	with	with	ADP
ispiv-125	55	31	the	the	DET
ispiv-125	55	32	t∗	t∗	NOUN
ispiv-125	55	33	multiplier	multiplier	NOUN
ispiv-125	55	34	,	,	PUNCT
ispiv-125	55	35	for	for	ADP
ispiv-125	55	36	which	which	PRON
ispiv-125	55	37	no	no	DET
ispiv-125	55	38	further	further	ADJ
ispiv-125	55	39	information	information	NOUN
ispiv-125	55	40	about	about	ADP
ispiv-125	55	41	the	the	DET
ispiv-125	55	42	underlying	underlie	VERB
ispiv-125	55	43	noise	noise	NOUN
ispiv-125	55	44	distribution	distribution	NOUN
ispiv-125	55	45	is	be	AUX
ispiv-125	55	46	necessary	necessary	ADJ
ispiv-125	55	47	and	and	CCONJ
ispiv-125	55	48	which	which	PRON
ispiv-125	55	49	is	be	AUX
ispiv-125	55	50	generally	generally	ADV
ispiv-125	55	51	recommended	recommend	VERB
ispiv-125	55	52	,	,	PUNCT
ispiv-125	55	53	when	when	SCONJ
ispiv-125	55	54	the	the	DET
ispiv-125	55	55	sample	sample	NOUN
ispiv-125	55	56	size	size	NOUN
ispiv-125	55	57	is	be	AUX
ispiv-125	55	58	quite	quite	ADV
ispiv-125	55	59	low	low	ADJ
ispiv-125	55	60	.	.	PUNCT
ispiv-125	56	1	the	the	DET
ispiv-125	56	2	variable	variable	ADJ
ispiv-125	56	3	mse	mse	PROPN
ispiv-125	56	4	denotes	denote	VERB
ispiv-125	56	5	the	the	DET
ispiv-125	56	6	mean	mean	ADJ
ispiv-125	56	7	square	square	ADJ
ispiv-125	56	8	error	error	NOUN
ispiv-125	56	9	with	with	ADP
ispiv-125	56	10	mse	mse	NOUN
ispiv-125	56	11	=	=	SYM
ispiv-125	56	12	ssr	ssr	PROPN
ispiv-125	56	13	dof	dof	NOUN
ispiv-125	56	14	.	.	PUNCT
ispiv-125	57	1	(	(	PUNCT
ispiv-125	57	2	8)	8)	NUM
ispiv-125	57	3	within	within	ADP
ispiv-125	57	4	this	this	DET
ispiv-125	57	5	equation	equation	NOUN
ispiv-125	57	6	the	the	DET
ispiv-125	57	7	sum	sum	NOUN
ispiv-125	57	8	of	of	ADP
ispiv-125	57	9	the	the	DET
ispiv-125	57	10	squared	square	VERB
ispiv-125	57	11	residuals	residual	NOUN
ispiv-125	57	12	ssr	ssr	NOUN
ispiv-125	57	13	is	be	AUX
ispiv-125	57	14	needed	need	VERB
ispiv-125	57	15	and	and	CCONJ
ispiv-125	57	16	can	can	AUX
ispiv-125	57	17	be	be	AUX
ispiv-125	57	18	calculated	calculate	VERB
ispiv-125	57	19	by	by	ADP
ispiv-125	57	20	ssr	ssr	PROPN
ispiv-125	57	21	=	=	SYM
ispiv-125	57	22	n	n	PROPN
ispiv-125	57	23	∑	∑	PROPN
ispiv-125	57	24	i=1	i=1	PROPN
ispiv-125	57	25	(	(	PUNCT
ispiv-125	57	26	ŷi−	ŷi−	PROPN
ispiv-125	57	27	yi	yi	PROPN
ispiv-125	57	28	)	)	PUNCT
ispiv-125	57	29	2	2	NUM
ispiv-125	57	30	(	(	PUNCT
ispiv-125	57	31	9	9	NUM
ispiv-125	57	32	)	)	PUNCT
ispiv-125	57	33	the	the	DET
ispiv-125	57	34	expression	expression	NOUN
ispiv-125	57	35	mse	mse	NOUN
ispiv-125	57	36	·	·	PUNCT
ispiv-125	57	37	(	(	PUNCT
ispiv-125	57	38	at	at	ADP
ispiv-125	57	39	a	a	DET
ispiv-125	57	40	)	)	PUNCT
ispiv-125	57	41	−1	−1	NOUN
ispiv-125	57	42	is	be	AUX
ispiv-125	57	43	also	also	ADV
ispiv-125	57	44	defined	define	VERB
ispiv-125	57	45	as	as	ADP
ispiv-125	57	46	the	the	DET
ispiv-125	57	47	covariance	covariance	NOUN
ispiv-125	57	48	matrix	matrix	NOUN
ispiv-125	57	49	cov	cov	NOUN
ispiv-125	57	50	of	of	ADP
ispiv-125	57	51	the	the	DET
ispiv-125	57	52	regression	regression	NOUN
ispiv-125	57	53	system	system	NOUN
ispiv-125	57	54	.	.	PUNCT
ispiv-125	58	1	now	now	ADV
ispiv-125	58	2	,	,	PUNCT
ispiv-125	58	3	as	as	ADP
ispiv-125	58	4	a	a	DET
ispiv-125	58	5	final	final	ADJ
ispiv-125	58	6	result	result	NOUN
ispiv-125	58	7	we	we	PRON
ispiv-125	58	8	can	can	AUX
ispiv-125	58	9	state	state	VERB
ispiv-125	58	10	for	for	ADP
ispiv-125	58	11	each	each	DET
ispiv-125	58	12	polynomial	polynomial	ADJ
ispiv-125	58	13	coefficient	coefficient	NOUN
ispiv-125	58	14	b0	b0	NOUN
ispiv-125	58	15	...	...	PUNCT
ispiv-125	58	16	p	p	X
ispiv-125	58	17	its	its	PRON
ispiv-125	58	18	estimated	estimate	VERB
ispiv-125	58	19	value	value	NOUN
ispiv-125	58	20	and	and	CCONJ
ispiv-125	58	21	its	its	PRON
ispiv-125	58	22	confidence	confidence	NOUN
ispiv-125	58	23	interval/	interval/	NUM
ispiv-125	58	24	uncertainty	uncertainty	NOUN
ispiv-125	58	25	b0	b0	NOUN
ispiv-125	58	26	...	...	PUNCT
ispiv-125	59	1	p±ci0	p±ci0	PROPN
ispiv-125	59	2	...	...	PUNCT
ispiv-125	59	3	p	p	X
ispiv-125	59	4	(	(	PUNCT
ispiv-125	59	5	10	10	NUM
ispiv-125	59	6	)	)	PUNCT
ispiv-125	59	7	based	base	VERB
ispiv-125	59	8	on	on	ADP
ispiv-125	59	9	these	these	DET
ispiv-125	59	10	coefficients	coefficient	NOUN
ispiv-125	59	11	,	,	PUNCT
ispiv-125	59	12	the	the	DET
ispiv-125	59	13	whole	whole	ADJ
ispiv-125	59	14	filtered	filter	VERB
ispiv-125	59	15	trajectory	trajectory	NOUN
ispiv-125	59	16	ŷ	ŷ	NUM
ispiv-125	59	17	can	can	AUX
ispiv-125	59	18	be	be	AUX
ispiv-125	59	19	determined	determine	VERB
ispiv-125	59	20	with	with	ADP
ispiv-125	59	21	its	its	PRON
ispiv-125	59	22	corresponding	correspond	VERB
ispiv-125	59	23	uncertainty	uncertainty	NOUN
ispiv-125	59	24	ûy	ûy	PRON
ispiv-125	59	25	band	band	NOUN
ispiv-125	59	26	in	in	ADP
ispiv-125	59	27	the	the	DET
ispiv-125	59	28	following	follow	VERB
ispiv-125	59	29	way	way	NOUN
ispiv-125	59	30	ŷi±ûy	ŷi±ûy	NOUN
ispiv-125	59	31	=	=	SYM
ispiv-125	59	32	(	(	PUNCT
ispiv-125	59	33	b0±ci0)+(b1±ci1	b0±ci0)+(b1±ci1	NOUN
ispiv-125	59	34	)	)	PUNCT
ispiv-125	59	35	·	·	PUNCT
ispiv-125	60	1	ti	ti	X
ispiv-125	60	2	+	+	ADJ
ispiv-125	60	3	(	(	PUNCT
ispiv-125	60	4	b2±ci2	b2±ci2	NOUN
ispiv-125	60	5	)	)	PUNCT
ispiv-125	60	6	·	·	PUNCT
ispiv-125	60	7	t2	t2	NOUN
ispiv-125	60	8	i	i	PRON
ispiv-125	60	9	+	+	CCONJ
ispiv-125	60	10	...	...	PUNCT
ispiv-125	61	1	+	+	ADJ
ispiv-125	61	2	(	(	PUNCT
ispiv-125	61	3	bp±cip	bp±cip	PROPN
ispiv-125	61	4	)	)	PUNCT
ispiv-125	61	5	·	·	PUNCT
ispiv-125	62	1	t	t	X
ispiv-125	62	2	p	p	X
ispiv-125	63	1	i	i	PRON
ispiv-125	63	2	.	.	PUNCT
ispiv-125	64	1	(	(	PUNCT
ispiv-125	64	2	11	11	NUM
ispiv-125	64	3	)	)	PUNCT
ispiv-125	64	4	for	for	ADP
ispiv-125	64	5	sliding	slide	VERB
ispiv-125	64	6	window	window	NOUN
ispiv-125	64	7	approaches	approach	NOUN
ispiv-125	64	8	,	,	PUNCT
ispiv-125	64	9	where	where	SCONJ
ispiv-125	64	10	not	not	PART
ispiv-125	64	11	the	the	DET
ispiv-125	64	12	whole	whole	ADJ
ispiv-125	64	13	trajectory	trajectory	NOUN
ispiv-125	64	14	is	be	AUX
ispiv-125	64	15	considered	consider	VERB
ispiv-125	64	16	during	during	ADP
ispiv-125	64	17	the	the	DET
ispiv-125	64	18	filtering	filtering	NOUN
ispiv-125	64	19	but	but	CCONJ
ispiv-125	64	20	only	only	ADJ
ispiv-125	64	21	segments	segment	NOUN
ispiv-125	64	22	of	of	ADP
ispiv-125	64	23	it	it	PRON
ispiv-125	64	24	,	,	PUNCT
ispiv-125	64	25	it	it	PRON
ispiv-125	64	26	is	be	AUX
ispiv-125	64	27	convenient	convenient	ADJ
ispiv-125	64	28	to	to	PART
ispiv-125	64	29	shift	shift	VERB
ispiv-125	64	30	the	the	DET
ispiv-125	64	31	time	time	NOUN
ispiv-125	64	32	axis	axis	NOUN
ispiv-125	64	33	in	in	ADP
ispiv-125	64	34	a	a	DET
ispiv-125	64	35	way	way	NOUN
ispiv-125	64	36	,	,	PUNCT
ispiv-125	64	37	that	that	SCONJ
ispiv-125	64	38	the	the	DET
ispiv-125	64	39	middle	middle	ADJ
ispiv-125	64	40	entry	entry	NOUN
ispiv-125	64	41	of	of	ADP
ispiv-125	64	42	the	the	DET
ispiv-125	64	43	regression	regression	NOUN
ispiv-125	64	44	window	window	NOUN
ispiv-125	64	45	is	be	AUX
ispiv-125	64	46	at	at	ADP
ispiv-125	64	47	t	t	NOUN
ispiv-125	64	48	=	=	SYM
ispiv-125	64	49	0	0	X
ispiv-125	64	50	.	.	PUNCT
ispiv-125	65	1	by	by	ADP
ispiv-125	65	2	doing	do	VERB
ispiv-125	65	3	this	this	PRON
ispiv-125	65	4	,	,	PUNCT
ispiv-125	65	5	the	the	DET
ispiv-125	65	6	above	above	ADJ
ispiv-125	65	7	equation	equation	NOUN
ispiv-125	65	8	simplifies	simplifie	NOUN
ispiv-125	65	9	to	to	ADP
ispiv-125	65	10	0.0	0.0	NUM
ispiv-125	65	11	0.1	0.1	NUM
ispiv-125	65	12	0.2	0.2	NUM
ispiv-125	65	13	0.3	0.3	NUM
ispiv-125	65	14	uy	uy	NOUN
ispiv-125	65	15	0	0	NUM
ispiv-125	65	16	1000	1000	NUM
ispiv-125	65	17	2000	2000	NUM
ispiv-125	65	18	3000	3000	NUM
ispiv-125	65	19	4000	4000	NUM
ispiv-125	65	20	5000	5000	NUM
ispiv-125	65	21	#	#	NOUN
ispiv-125	65	22	o	o	NOUN
ispiv-125	65	23	f	f	PROPN
ispiv-125	65	24	e	e	PROPN
ispiv-125	65	25	n	n	CCONJ
ispiv-125	65	26	tr	tr	PROPN
ispiv-125	65	27	ie	ie	X
ispiv-125	65	28	s	s	PROPN
ispiv-125	65	29	(	(	PUNCT
ispiv-125	65	30	a	a	NOUN
ispiv-125	65	31	)	)	PUNCT
ispiv-125	65	32	0.00	0.00	NUM
ispiv-125	65	33	0.05	0.05	NUM
ispiv-125	65	34	0.10	0.10	NUM
ispiv-125	65	35	0.15	0.15	NUM
ispiv-125	65	36	uy	uy	NOUN
ispiv-125	65	37	0	0	NUM
ispiv-125	65	38	1000	1000	NUM
ispiv-125	65	39	2000	2000	NUM
ispiv-125	65	40	3000	3000	NUM
ispiv-125	65	41	4000	4000	NUM
ispiv-125	65	42	5000	5000	NUM
ispiv-125	65	43	#	#	NOUN
ispiv-125	65	44	o	o	NOUN
ispiv-125	65	45	f	f	PROPN
ispiv-125	65	46	e	e	PROPN
ispiv-125	65	47	n	n	CCONJ
ispiv-125	65	48	tr	tr	PROPN
ispiv-125	65	49	ie	ie	PROPN
ispiv-125	65	50	s	s	PROPN
ispiv-125	65	51	(	(	PUNCT
ispiv-125	65	52	b	b	NOUN
ispiv-125	65	53	)	)	PUNCT
ispiv-125	65	54	0.05	0.05	NUM
ispiv-125	65	55	0.10	0.10	NUM
ispiv-125	65	56	uy	uy	NOUN
ispiv-125	65	57	0	0	NUM
ispiv-125	65	58	1000	1000	NUM
ispiv-125	65	59	2000	2000	NUM
ispiv-125	65	60	3000	3000	NUM
ispiv-125	65	61	4000	4000	NUM
ispiv-125	65	62	5000	5000	NUM
ispiv-125	65	63	#	#	NOUN
ispiv-125	65	64	o	o	NOUN
ispiv-125	65	65	f	f	PROPN
ispiv-125	65	66	e	e	PROPN
ispiv-125	65	67	n	n	CCONJ
ispiv-125	65	68	tr	tr	PROPN
ispiv-125	65	69	ie	ie	X
ispiv-125	65	70	s	s	PART
ispiv-125	65	71	(	(	PUNCT
ispiv-125	65	72	c	c	NOUN
ispiv-125	65	73	)	)	PUNCT
ispiv-125	65	74	0.025	0.025	NUM
ispiv-125	65	75	0.050	0.050	NUM
ispiv-125	65	76	0.075	0.075	NUM
ispiv-125	65	77	0.100	0.100	NUM
ispiv-125	65	78	uy	uy	NOUN
ispiv-125	65	79	0	0	NUM
ispiv-125	65	80	1000	1000	NUM
ispiv-125	65	81	2000	2000	NUM
ispiv-125	65	82	3000	3000	NUM
ispiv-125	65	83	4000	4000	NUM
ispiv-125	65	84	5000	5000	NUM
ispiv-125	65	85	#	#	NOUN
ispiv-125	65	86	o	o	NOUN
ispiv-125	65	87	f	f	PROPN
ispiv-125	65	88	e	e	PROPN
ispiv-125	65	89	n	n	CCONJ
ispiv-125	65	90	tr	tr	PROPN
ispiv-125	65	91	ie	ie	X
ispiv-125	65	92	s	s	PROPN
ispiv-125	65	93	(	(	PUNCT
ispiv-125	65	94	d	d	NOUN
ispiv-125	65	95	)	)	PUNCT
ispiv-125	65	96	figure	figure	NOUN
ispiv-125	65	97	2	2	NUM
ispiv-125	65	98	:	:	PUNCT
ispiv-125	65	99	distribution	distribution	NOUN
ispiv-125	65	100	of	of	ADP
ispiv-125	65	101	the	the	DET
ispiv-125	65	102	estimated	estimate	VERB
ispiv-125	65	103	position	position	NOUN
ispiv-125	65	104	uncertainties	uncertaintie	VERB
ispiv-125	65	105	uy	uy	INTJ
ispiv-125	65	106	for	for	ADP
ispiv-125	65	107	the	the	DET
ispiv-125	65	108	different	different	ADJ
ispiv-125	65	109	filter	filter	NOUN
ispiv-125	65	110	lengths	length	NOUN
ispiv-125	65	111	n	n	NOUN
ispiv-125	65	112	=	=	SYM
ispiv-125	65	113	5	5	NUM
ispiv-125	65	114	(	(	PUNCT
ispiv-125	65	115	a	a	NOUN
ispiv-125	65	116	)	)	PUNCT
ispiv-125	65	117	,	,	PUNCT
ispiv-125	65	118	7	7	NUM
ispiv-125	65	119	(	(	PUNCT
ispiv-125	65	120	b	b	NOUN
ispiv-125	65	121	)	)	PUNCT
ispiv-125	65	122	,	,	PUNCT
ispiv-125	65	123	9	9	NUM
ispiv-125	65	124	(	(	PUNCT
ispiv-125	65	125	c	c	NOUN
ispiv-125	65	126	)	)	PUNCT
ispiv-125	65	127	and	and	CCONJ
ispiv-125	65	128	11	11	NUM
ispiv-125	65	129	(	(	PUNCT
ispiv-125	65	130	d	d	NOUN
ispiv-125	65	131	)	)	PUNCT
ispiv-125	65	132	calculated	calculate	VERB
ispiv-125	65	133	from	from	ADP
ispiv-125	65	134	100.000	100.000	NUM
ispiv-125	65	135	polynomial	polynomial	ADJ
ispiv-125	65	136	regressions	regression	NOUN
ispiv-125	65	137	(	(	PUNCT
ispiv-125	65	138	2nd	2nd	ADJ
ispiv-125	65	139	order	order	NOUN
ispiv-125	65	140	)	)	PUNCT
ispiv-125	65	141	with	with	ADP
ispiv-125	65	142	an	an	DET
ispiv-125	65	143	added	add	VERB
ispiv-125	65	144	noise	noise	NOUN
ispiv-125	65	145	level	level	NOUN
ispiv-125	65	146	of	of	ADP
ispiv-125	65	147	σnoise	σnoise	NOUN
ispiv-125	65	148	=	=	NOUN
ispiv-125	65	149	0.1	0.1	NUM
ispiv-125	65	150	.	.	PUNCT
ispiv-125	66	1	ŷ0±uy	ŷ0±uy	X
ispiv-125	66	2	=	=	PUNCT
ispiv-125	67	1	(	(	PUNCT
ispiv-125	67	2	b0±ci0	b0±ci0	PROPN
ispiv-125	67	3	)	)	PUNCT
ispiv-125	67	4	(	(	PUNCT
ispiv-125	67	5	12	12	NUM
ispiv-125	67	6	)	)	PUNCT
ispiv-125	67	7	and	and	CCONJ
ispiv-125	67	8	the	the	DET
ispiv-125	67	9	position	position	NOUN
ispiv-125	67	10	uncertainty	uncertainty	NOUN
ispiv-125	67	11	uy	uy	ADV
ispiv-125	67	12	corresponds	correspond	VERB
ispiv-125	67	13	directly	directly	ADV
ispiv-125	67	14	to	to	ADP
ispiv-125	67	15	the	the	DET
ispiv-125	67	16	uncertainty	uncertainty	NOUN
ispiv-125	67	17	of	of	ADP
ispiv-125	67	18	the	the	DET
ispiv-125	67	19	first	first	ADJ
ispiv-125	67	20	polynomial	polynomial	ADJ
ispiv-125	67	21	coefficient	coefficient	NOUN
ispiv-125	67	22	ci0	ci0	INTJ
ispiv-125	67	23	.	.	PUNCT
ispiv-125	68	1	if	if	SCONJ
ispiv-125	68	2	the	the	DET
ispiv-125	68	3	uncertainty	uncertainty	NOUN
ispiv-125	68	4	of	of	ADP
ispiv-125	68	5	the	the	DET
ispiv-125	68	6	velocity	velocity	NOUN
ispiv-125	68	7	uv	uv	NOUN
ispiv-125	68	8	is	be	AUX
ispiv-125	68	9	of	of	ADP
ispiv-125	68	10	interest	interest	NOUN
ispiv-125	68	11	,	,	PUNCT
ispiv-125	68	12	the	the	DET
ispiv-125	68	13	fitted	fit	VERB
ispiv-125	68	14	polynomial	polynomial	NOUN
ispiv-125	68	15	has	have	VERB
ispiv-125	68	16	to	to	PART
ispiv-125	68	17	be	be	AUX
ispiv-125	68	18	derived	derive	VERB
ispiv-125	68	19	(	(	PUNCT
ispiv-125	68	20	ŷ′	ŷ′	NOUN
ispiv-125	68	21	=	=	SYM
ispiv-125	68	22	dŷ/dt	dŷ/dt	NOUN
ispiv-125	68	23	)	)	PUNCT
ispiv-125	68	24	and	and	CCONJ
ispiv-125	68	25	evaluated	evaluate	VERB
ispiv-125	68	26	at	at	ADP
ispiv-125	68	27	t	t	NOUN
ispiv-125	68	28	=	=	SYM
ispiv-125	68	29	0	0	PROPN
ispiv-125	68	30	as	as	ADV
ispiv-125	68	31	well	well	ADV
ispiv-125	68	32	.	.	PUNCT
ispiv-125	69	1	it	it	PRON
ispiv-125	69	2	the	the	DET
ispiv-125	69	3	following	following	NOUN
ispiv-125	69	4	,	,	PUNCT
ispiv-125	69	5	one	one	PRON
ispiv-125	69	6	can	can	AUX
ispiv-125	69	7	find	find	VERB
ispiv-125	69	8	,	,	PUNCT
ispiv-125	69	9	that	that	SCONJ
ispiv-125	69	10	the	the	DET
ispiv-125	69	11	velocity	velocity	NOUN
ispiv-125	69	12	uncertainty	uncertainty	NOUN
ispiv-125	69	13	uv	uv	NOUN
ispiv-125	69	14	corresponds	correspond	VERB
ispiv-125	69	15	to	to	ADP
ispiv-125	69	16	the	the	DET
ispiv-125	69	17	uncertainty	uncertainty	NOUN
ispiv-125	69	18	of	of	ADP
ispiv-125	69	19	the	the	DET
ispiv-125	69	20	second	second	ADJ
ispiv-125	69	21	polynomial	polynomial	ADJ
ispiv-125	69	22	coefficient	coefficient	NOUN
ispiv-125	69	23	ci1	ci1	PROPN
ispiv-125	69	24	(	(	PUNCT
ispiv-125	69	25	also	also	ADV
ispiv-125	69	26	at	at	ADP
ispiv-125	69	27	t=0	t=0	ADJ
ispiv-125	69	28	)	)	PUNCT
ispiv-125	69	29	.	.	PUNCT
ispiv-125	70	1	ŷ0	ŷ0	NOUN
ispiv-125	70	2	′±uv	′±uv	PUNCT
ispiv-125	70	3	=	=	SYM
ispiv-125	70	4	(	(	PUNCT
ispiv-125	70	5	b1±ci1	b1±ci1	NOUN
ispiv-125	70	6	)	)	PUNCT
ispiv-125	70	7	(	(	PUNCT
ispiv-125	70	8	13	13	NUM
ispiv-125	70	9	)	)	PUNCT
ispiv-125	70	10	accordingly	accordingly	ADV
ispiv-125	70	11	,	,	PUNCT
ispiv-125	70	12	the	the	DET
ispiv-125	70	13	uncertainty	uncertainty	NOUN
ispiv-125	70	14	of	of	ADP
ispiv-125	70	15	the	the	DET
ispiv-125	70	16	acceleration	acceleration	NOUN
ispiv-125	70	17	ua	ua	PROPN
ispiv-125	70	18	is	be	AUX
ispiv-125	70	19	equal	equal	ADJ
ispiv-125	70	20	to	to	ADP
ispiv-125	70	21	the	the	DET
ispiv-125	70	22	confidence	confidence	NOUN
ispiv-125	70	23	interval	interval	NOUN
ispiv-125	70	24	of	of	ADP
ispiv-125	70	25	ci2	ci2	PROPN
ispiv-125	70	26	ŷ0	ŷ0	NOUN
ispiv-125	70	27	′′±ua	′′±ua	PROPN
ispiv-125	70	28	=	=	SYM
ispiv-125	70	29	(	(	PUNCT
ispiv-125	70	30	b2±ci2	b2±ci2	NOUN
ispiv-125	70	31	)	)	PUNCT
ispiv-125	70	32	.	.	PUNCT
ispiv-125	71	1	(	(	PUNCT
ispiv-125	71	2	14	14	NUM
ispiv-125	71	3	)	)	PUNCT
ispiv-125	71	4	all	all	PRON
ispiv-125	71	5	in	in	ADP
ispiv-125	71	6	all	all	PRON
ispiv-125	71	7	,	,	PUNCT
ispiv-125	71	8	the	the	DET
ispiv-125	71	9	proposed	propose	VERB
ispiv-125	71	10	methodology	methodology	NOUN
ispiv-125	71	11	should	should	AUX
ispiv-125	71	12	yield	yield	VERB
ispiv-125	71	13	results	result	NOUN
ispiv-125	71	14	for	for	ADP
ispiv-125	71	15	any	any	DET
ispiv-125	71	16	arbitrarily	arbitrarily	ADV
ispiv-125	71	17	chosen	choose	VERB
ispiv-125	71	18	window	window	NOUN
ispiv-125	71	19	size	size	NOUN
ispiv-125	71	20	and	and	CCONJ
ispiv-125	71	21	polynomial	polynomial	ADJ
ispiv-125	71	22	degree	degree	NOUN
ispiv-125	71	23	as	as	ADV
ispiv-125	71	24	long	long	ADV
ispiv-125	71	25	as	as	ADP
ispiv-125	71	26	dof	dof	NOUN
ispiv-125	71	27	>	>	X
ispiv-125	71	28	0	0	X
ispiv-125	71	29	.	.	PUNCT
ispiv-125	72	1	therefore	therefore	ADV
ispiv-125	72	2	,	,	PUNCT
ispiv-125	72	3	it	it	PRON
ispiv-125	72	4	is	be	AUX
ispiv-125	72	5	applicable	applicable	ADJ
ispiv-125	72	6	for	for	ADP
ispiv-125	72	7	fully	fully	ADV
ispiv-125	72	8	time	time	NOUN
ispiv-125	72	9	-	-	PUNCT
ispiv-125	72	10	resolved	resolve	VERB
ispiv-125	72	11	recordings	recording	NOUN
ispiv-125	72	12	and	and	CCONJ
ispiv-125	72	13	even	even	ADV
ispiv-125	72	14	4	4	NUM
ispiv-125	72	15	-	-	PUNCT
ispiv-125	72	16	pulse	pulse	NOUN
ispiv-125	72	17	lpt	lpt	PROPN
ispiv-125	72	18	measurements	measurement	NOUN
ispiv-125	72	19	.	.	PUNCT
ispiv-125	73	1	since	since	SCONJ
ispiv-125	73	2	no	no	ADV
ispiv-125	73	3	over	over	ADP
ispiv-125	73	4	determined	determined	ADJ
ispiv-125	73	5	regression	regression	NOUN
ispiv-125	73	6	system	system	NOUN
ispiv-125	73	7	can	can	AUX
ispiv-125	73	8	be	be	AUX
ispiv-125	73	9	correspondingly	correspondingly	ADV
ispiv-125	73	10	built	build	VERB
ispiv-125	73	11	for	for	ADP
ispiv-125	73	12	2	2	NUM
ispiv-125	73	13	-	-	PUNCT
ispiv-125	73	14	pulse	pulse	NOUN
ispiv-125	73	15	/	/	SYM
ispiv-125	73	16	double	double	ADJ
ispiv-125	73	17	-	-	PUNCT
ispiv-125	73	18	frame	frame	NOUN
ispiv-125	73	19	data	datum	NOUN
ispiv-125	73	20	,	,	PUNCT
ispiv-125	73	21	no	no	DET
ispiv-125	73	22	uncertainty	uncertainty	NOUN
ispiv-125	73	23	information	information	NOUN
ispiv-125	73	24	can	can	AUX
ispiv-125	73	25	be	be	AUX
ispiv-125	73	26	extracted	extract	VERB
ispiv-125	73	27	with	with	ADP
ispiv-125	73	28	this	this	DET
ispiv-125	73	29	approach	approach	NOUN
ispiv-125	73	30	.	.	PUNCT
ispiv-125	74	1	as	as	ADP
ispiv-125	74	2	with	with	ADP
ispiv-125	74	3	every	every	DET
ispiv-125	74	4	fitting/	fitting/	NUM
ispiv-125	74	5	regression	regression	NOUN
ispiv-125	74	6	model	model	NOUN
ispiv-125	74	7	,	,	PUNCT
ispiv-125	74	8	a	a	DET
ispiv-125	74	9	few	few	ADJ
ispiv-125	74	10	underlying	underlying	ADJ
ispiv-125	74	11	assumptions	assumption	NOUN
ispiv-125	74	12	and	and	CCONJ
ispiv-125	74	13	limitations	limitation	NOUN
ispiv-125	74	14	should	should	AUX
ispiv-125	74	15	be	be	AUX
ispiv-125	74	16	mentioned	mention	VERB
ispiv-125	74	17	.	.	PUNCT
ispiv-125	75	1	standard	standard	ADJ
ispiv-125	75	2	regression	regression	NOUN
ispiv-125	75	3	methods	method	NOUN
ispiv-125	75	4	are	be	AUX
ispiv-125	75	5	very	very	ADV
ispiv-125	75	6	prone	prone	ADJ
ispiv-125	75	7	to	to	ADP
ispiv-125	75	8	outlier	outlier	NOUN
ispiv-125	75	9	values	value	NOUN
ispiv-125	75	10	and	and	CCONJ
ispiv-125	75	11	can	can	AUX
ispiv-125	75	12	not	not	PART
ispiv-125	75	13	cope	cope	VERB
ispiv-125	75	14	with	with	ADP
ispiv-125	75	15	them	they	PRON
ispiv-125	75	16	without	without	ADP
ispiv-125	75	17	any	any	DET
ispiv-125	75	18	special	special	ADJ
ispiv-125	75	19	treatment	treatment	NOUN
ispiv-125	75	20	.	.	PUNCT
ispiv-125	76	1	but	but	CCONJ
ispiv-125	76	2	since	since	SCONJ
ispiv-125	76	3	modern	modern	ADJ
ispiv-125	76	4	3d	3d	NUM
ispiv-125	76	5	-	-	PUNCT
ispiv-125	76	6	ptv	ptv	PROPN
ispiv-125	76	7	/	/	SYM
ispiv-125	76	8	lpt	lpt	PROPN
ispiv-125	76	9	methods	method	NOUN
ispiv-125	76	10	are	be	AUX
ispiv-125	76	11	very	very	ADV
ispiv-125	76	12	successful	successful	ADJ
ispiv-125	76	13	in	in	ADP
ispiv-125	76	14	suppressing	suppress	VERB
ispiv-125	76	15	large	large	ADJ
ispiv-125	76	16	outliers	outlier	NOUN
ispiv-125	76	17	within	within	ADP
ispiv-125	76	18	a	a	DET
ispiv-125	76	19	continuous	continuous	ADJ
ispiv-125	76	20	track	track	NOUN
ispiv-125	76	21	,	,	PUNCT
ispiv-125	76	22	the	the	DET
ispiv-125	76	23	occurrence	occurrence	NOUN
ispiv-125	76	24	of	of	ADP
ispiv-125	76	25	outliers	outlier	NOUN
ispiv-125	76	26	should	should	AUX
ispiv-125	76	27	be	be	AUX
ispiv-125	76	28	minimal	minimal	ADJ
ispiv-125	76	29	.	.	PUNCT
ispiv-125	77	1	the	the	DET
ispiv-125	77	2	presented	present	VERB
ispiv-125	77	3	uncertainty	uncertainty	NOUN
ispiv-125	77	4	quantification	quantification	NOUN
ispiv-125	77	5	method	method	NOUN
ispiv-125	77	6	does	do	AUX
ispiv-125	77	7	not	not	PART
ispiv-125	77	8	include	include	VERB
ispiv-125	77	9	any	any	DET
ispiv-125	77	10	quantification	quantification	NOUN
ispiv-125	77	11	of	of	ADP
ispiv-125	77	12	systematic	systematic	ADJ
ispiv-125	77	13	uncertainties	uncertainty	NOUN
ispiv-125	77	14	but	but	CCONJ
ispiv-125	77	15	only	only	ADV
ispiv-125	77	16	focuses	focus	VERB
ispiv-125	77	17	on	on	ADP
ispiv-125	77	18	the	the	DET
ispiv-125	77	19	random	random	ADJ
ispiv-125	77	20	parts	part	NOUN
ispiv-125	77	21	.	.	PUNCT
ispiv-125	78	1	in	in	ADP
ispiv-125	78	2	order	order	NOUN
ispiv-125	78	3	to	to	PART
ispiv-125	78	4	ensure	ensure	VERB
ispiv-125	78	5	that	that	SCONJ
ispiv-125	78	6	no	no	DET
ispiv-125	78	7	systematic	systematic	ADJ
ispiv-125	78	8	errors	error	NOUN
ispiv-125	78	9	are	be	AUX
ispiv-125	78	10	introduced	introduce	VERB
ispiv-125	78	11	during	during	ADP
ispiv-125	78	12	the	the	DET
ispiv-125	78	13	filtering	filtering	NOUN
ispiv-125	78	14	,	,	PUNCT
ispiv-125	78	15	the	the	DET
ispiv-125	78	16	polynomial	polynomial	ADJ
ispiv-125	78	17	model	model	NOUN
ispiv-125	78	18	should	should	AUX
ispiv-125	78	19	be	be	AUX
ispiv-125	78	20	suitable	suitable	ADJ
ispiv-125	78	21	for	for	ADP
ispiv-125	78	22	the	the	DET
ispiv-125	78	23	raw	raw	ADJ
ispiv-125	78	24	measurement	measurement	NOUN
ispiv-125	78	25	data	datum	NOUN
ispiv-125	78	26	and	and	CCONJ
ispiv-125	78	27	no	no	DET
ispiv-125	78	28	truncation	truncation	NOUN
ispiv-125	78	29	should	should	AUX
ispiv-125	78	30	occur	occur	VERB
ispiv-125	78	31	.	.	PUNCT
ispiv-125	79	1	in	in	ADP
ispiv-125	79	2	other	other	ADJ
ispiv-125	79	3	words	word	NOUN
ispiv-125	79	4	,	,	PUNCT
ispiv-125	79	5	the	the	DET
ispiv-125	79	6	polynomial	polynomial	ADJ
ispiv-125	79	7	filter	filter	NOUN
ispiv-125	79	8	should	should	AUX
ispiv-125	79	9	only	only	ADV
ispiv-125	79	10	filter	filter	VERB
ispiv-125	79	11	the	the	DET
ispiv-125	79	12	random	random	ADJ
ispiv-125	79	13	noise	noise	NOUN
ispiv-125	79	14	components	component	NOUN
ispiv-125	79	15	without	without	ADP
ispiv-125	79	16	altering	alter	VERB
ispiv-125	79	17	the	the	DET
ispiv-125	79	18	real	real	ADJ
ispiv-125	79	19	flow	flow	NOUN
ispiv-125	79	20	motion	motion	NOUN
ispiv-125	79	21	.	.	PUNCT
ispiv-125	80	1	this	this	PRON
ispiv-125	80	2	may	may	AUX
ispiv-125	80	3	be	be	AUX
ispiv-125	80	4	a	a	DET
ispiv-125	80	5	problem	problem	NOUN
ispiv-125	80	6	in	in	ADP
ispiv-125	80	7	many	many	ADJ
ispiv-125	80	8	application	application	NOUN
ispiv-125	80	9	,	,	PUNCT
ispiv-125	80	10	since	since	SCONJ
ispiv-125	80	11	no	no	DET
ispiv-125	80	12	prior	prior	ADJ
ispiv-125	80	13	knowledge	knowledge	NOUN
ispiv-125	80	14	about	about	ADP
ispiv-125	80	15	optimal	optimal	ADJ
ispiv-125	80	16	filter	filter	NOUN
ispiv-125	80	17	parameters	parameter	NOUN
ispiv-125	80	18	is	be	AUX
ispiv-125	80	19	available	available	ADJ
ispiv-125	80	20	and	and	CCONJ
ispiv-125	80	21	it	it	PRON
ispiv-125	80	22	is	be	AUX
ispiv-125	80	23	most	most	ADV
ispiv-125	80	24	probable	probable	ADJ
ispiv-125	80	25	,	,	PUNCT
ispiv-125	80	26	that	that	SCONJ
ispiv-125	80	27	a	a	DET
ispiv-125	80	28	single	single	ADJ
ispiv-125	80	29	set	set	NOUN
ispiv-125	80	30	of	of	ADP
ispiv-125	80	31	filter	filter	NOUN
ispiv-125	80	32	parameters	parameter	NOUN
ispiv-125	80	33	is	be	AUX
ispiv-125	80	34	not	not	PART
ispiv-125	80	35	suitable	suitable	ADJ
ispiv-125	80	36	for	for	ADP
ispiv-125	80	37	the	the	DET
ispiv-125	80	38	whole	whole	ADJ
ispiv-125	80	39	flow	flow	NOUN
ispiv-125	80	40	field	field	NOUN
ispiv-125	80	41	.	.	PUNCT
ispiv-125	81	1	in	in	ADP
ispiv-125	81	2	order	order	NOUN
ispiv-125	81	3	to	to	PART
ispiv-125	81	4	tackle	tackle	VERB
ispiv-125	81	5	this	this	DET
ispiv-125	81	6	problem	problem	NOUN
ispiv-125	81	7	,	,	PUNCT
ispiv-125	81	8	we	we	PRON
ispiv-125	81	9	want	want	VERB
ispiv-125	81	10	to	to	PART
ispiv-125	81	11	propose	propose	VERB
ispiv-125	81	12	an	an	DET
ispiv-125	81	13	adaptive	adaptive	ADJ
ispiv-125	81	14	filter	filter	NOUN
ispiv-125	81	15	approach	approach	NOUN
ispiv-125	81	16	,	,	PUNCT
ispiv-125	81	17	which	which	PRON
ispiv-125	81	18	will	will	AUX
ispiv-125	81	19	be	be	AUX
ispiv-125	81	20	described	describe	VERB
ispiv-125	81	21	in	in	ADP
ispiv-125	81	22	sec	sec	PROPN
ispiv-125	81	23	.	.	PROPN
ispiv-125	82	1	3	3	NUM
ispiv-125	82	2	.	.	NOUN
ispiv-125	82	3	20	20	NUM
ispiv-125	82	4	40	40	NUM
ispiv-125	82	5	60	60	NUM
ispiv-125	82	6	0	0	NUM
ispiv-125	82	7	2	2	NUM
ispiv-125	82	8	4	4	NUM
ispiv-125	82	9	6	6	NUM
ispiv-125	82	10	8	8	NUM
ispiv-125	82	11	10	10	NUM
ispiv-125	82	12	noise	noise	NOUN
ispiv-125	82	13	=	=	SYM
ispiv-125	82	14	0	0	X
ispiv-125	82	15	.	.	NOUN
ispiv-125	82	16	075	075	NUM
ispiv-125	82	17	noise	noise	NOUN
ispiv-125	82	18	=	=	SYM
ispiv-125	82	19	0	0	NUM
ispiv-125	82	20	.	.	NOUN
ispiv-125	82	21	1	1	NUM
ispiv-125	82	22	noise	noise	NOUN
ispiv-125	82	23	=	=	NOUN
ispiv-125	82	24	0.2	0.2	NUM
ispiv-125	82	25	noise	noise	NOUN
ispiv-125	82	26	=	=	SYM
ispiv-125	82	27	1	1	NUM
ispiv-125	82	28	.	.	NOUN
ispiv-125	82	29	0	0	PUNCT
ispiv-125	83	1	|u	|u	PROPN
ispiv-125	83	2	y	y	PROPN
ispiv-125	83	3	�	�	PROPN
ispiv-125	83	4	�	�	PROPN
ispiv-125	83	5	i	i	PROPN
ispiv-125	83	6	t|	t|	PROPN
ispiv-125	83	7	�	�	PROPN
ispiv-125	83	8	�	�	PROPN
ispiv-125	83	9	it	it	PRON
ispiv-125	84	1	[	[	X
ispiv-125	84	2	%	%	X
ispiv-125	84	3	]	]	PUNCT
ispiv-125	84	4	�	�	PROPN
ispiv-125	84	5	ilter	ilter	ADJ
ispiv-125	84	6	length	length	NOUN
ispiv-125	84	7	n	n	PRON
ispiv-125	84	8	figure	figure	VERB
ispiv-125	84	9	3	3	NUM
ispiv-125	84	10	:	:	PUNCT
ispiv-125	84	11	relative	relative	ADJ
ispiv-125	84	12	deviation	deviation	NOUN
ispiv-125	84	13	of	of	ADP
ispiv-125	84	14	the	the	DET
ispiv-125	84	15	estimated	estimate	VERB
ispiv-125	84	16	position	position	NOUN
ispiv-125	84	17	uncertainty	uncertainty	NOUN
ispiv-125	84	18	uy	uy	ADV
ispiv-125	84	19	from	from	ADP
ispiv-125	84	20	the	the	DET
ispiv-125	84	21	ground	ground	NOUN
ispiv-125	84	22	truth	truth	NOUN
ispiv-125	84	23	uncertainty	uncertainty	NOUN
ispiv-125	84	24	σfit	σfit	ADV
ispiv-125	84	25	as	as	ADP
ispiv-125	84	26	a	a	DET
ispiv-125	84	27	function	function	NOUN
ispiv-125	84	28	of	of	ADP
ispiv-125	84	29	the	the	DET
ispiv-125	84	30	filter	filter	NOUN
ispiv-125	84	31	length	length	NOUN
ispiv-125	84	32	n	n	PROPN
ispiv-125	84	33	and	and	CCONJ
ispiv-125	84	34	the	the	DET
ispiv-125	84	35	noise	noise	NOUN
ispiv-125	84	36	level	level	NOUN
ispiv-125	84	37	.	.	PUNCT
ispiv-125	85	1	2.2	2.2	NUM
ispiv-125	85	2	numerical	numerical	ADJ
ispiv-125	85	3	analysis	analysis	NOUN
ispiv-125	85	4	but	but	CCONJ
ispiv-125	85	5	first	first	ADV
ispiv-125	85	6	,	,	PUNCT
ispiv-125	85	7	some	some	DET
ispiv-125	85	8	numerical	numerical	ADJ
ispiv-125	85	9	experiments	experiment	NOUN
ispiv-125	85	10	shall	shall	AUX
ispiv-125	85	11	be	be	AUX
ispiv-125	85	12	conducted	conduct	VERB
ispiv-125	85	13	with	with	ADP
ispiv-125	85	14	the	the	DET
ispiv-125	85	15	aim	aim	NOUN
ispiv-125	85	16	of	of	ADP
ispiv-125	85	17	testing	test	VERB
ispiv-125	85	18	the	the	DET
ispiv-125	85	19	aforementioned	aforementioned	ADJ
ispiv-125	85	20	uncertainty	uncertainty	NOUN
ispiv-125	85	21	quantification	quantification	NOUN
ispiv-125	85	22	approach	approach	NOUN
ispiv-125	85	23	.	.	PUNCT
ispiv-125	86	1	as	as	ADP
ispiv-125	86	2	a	a	DET
ispiv-125	86	3	result	result	NOUN
ispiv-125	86	4	of	of	ADP
ispiv-125	86	5	these	these	DET
ispiv-125	86	6	calculations	calculation	NOUN
ispiv-125	86	7	,	,	PUNCT
ispiv-125	86	8	the	the	DET
ispiv-125	86	9	dependency	dependency	NOUN
ispiv-125	86	10	of	of	ADP
ispiv-125	86	11	the	the	DET
ispiv-125	86	12	estimated	estimate	VERB
ispiv-125	86	13	uncertainties	uncertainty	NOUN
ispiv-125	86	14	on	on	ADP
ispiv-125	86	15	the	the	DET
ispiv-125	86	16	filter	filter	NOUN
ispiv-125	86	17	length	length	NOUN
ispiv-125	86	18	and	and	CCONJ
ispiv-125	86	19	on	on	ADP
ispiv-125	86	20	the	the	DET
ispiv-125	86	21	applied	apply	VERB
ispiv-125	86	22	noise	noise	NOUN
ispiv-125	86	23	level	level	NOUN
ispiv-125	86	24	shall	shall	AUX
ispiv-125	86	25	be	be	AUX
ispiv-125	86	26	identified	identify	VERB
ispiv-125	86	27	.	.	PUNCT
ispiv-125	87	1	furthermore	furthermore	ADV
ispiv-125	87	2	,	,	PUNCT
ispiv-125	87	3	it	it	PRON
ispiv-125	87	4	shall	shall	AUX
ispiv-125	87	5	be	be	AUX
ispiv-125	87	6	tested	test	VERB
ispiv-125	87	7	,	,	PUNCT
ispiv-125	87	8	whether	whether	SCONJ
ispiv-125	87	9	the	the	DET
ispiv-125	87	10	specified	specified	ADJ
ispiv-125	87	11	confidence	confidence	NOUN
ispiv-125	87	12	interval	interval	NOUN
ispiv-125	87	13	is	be	AUX
ispiv-125	87	14	a	a	DET
ispiv-125	87	15	good	good	ADJ
ispiv-125	87	16	estimator	estimator	NOUN
ispiv-125	87	17	for	for	ADP
ispiv-125	87	18	the	the	DET
ispiv-125	87	19	true	true	ADJ
ispiv-125	87	20	underlying	underlying	ADJ
ispiv-125	87	21	noise	noise	NOUN
ispiv-125	87	22	.	.	PUNCT
ispiv-125	88	1	for	for	ADP
ispiv-125	88	2	this	this	PRON
ispiv-125	88	3	,	,	PUNCT
ispiv-125	88	4	we	we	PRON
ispiv-125	88	5	create	create	VERB
ispiv-125	88	6	100.000	100.000	NUM
ispiv-125	88	7	discretely	discretely	ADV
ispiv-125	88	8	sampled	sample	VERB
ispiv-125	88	9	polynomial	polynomial	ADJ
ispiv-125	88	10	functions	function	NOUN
ispiv-125	88	11	ygt	ygt	VERB
ispiv-125	88	12	(	(	PUNCT
ispiv-125	88	13	ground	ground	NOUN
ispiv-125	88	14	truth	truth	NOUN
ispiv-125	88	15	)	)	PUNCT
ispiv-125	88	16	for	for	ADP
ispiv-125	88	17	the	the	DET
ispiv-125	88	18	different	different	ADJ
ispiv-125	88	19	polynomial	polynomial	ADJ
ispiv-125	88	20	lengths	length	NOUN
ispiv-125	88	21	of	of	ADP
ispiv-125	88	22	n	n	NOUN
ispiv-125	88	23	=	=	SYM
ispiv-125	88	24	5	5	NUM
ispiv-125	88	25	,	,	PUNCT
ispiv-125	88	26	7	7	NUM
ispiv-125	88	27	,	,	PUNCT
ispiv-125	88	28	9	9	NUM
ispiv-125	88	29	,	,	PUNCT
ispiv-125	88	30	11	11	NUM
ispiv-125	88	31	,	,	PUNCT
ispiv-125	88	32	21	21	NUM
ispiv-125	88	33	,	,	PUNCT
ispiv-125	88	34	31	31	NUM
ispiv-125	88	35	,	,	PUNCT
ispiv-125	88	36	51	51	NUM
ispiv-125	88	37	,	,	PUNCT
ispiv-125	88	38	61	61	NUM
ispiv-125	88	39	and	and	CCONJ
ispiv-125	88	40	71	71	NUM
ispiv-125	88	41	.	.	PUNCT
ispiv-125	89	1	for	for	ADP
ispiv-125	89	2	each	each	DET
ispiv-125	89	3	polynomial	polynomial	ADJ
ispiv-125	89	4	realization	realization	NOUN
ispiv-125	89	5	the	the	DET
ispiv-125	89	6	polynomial	polynomial	ADJ
ispiv-125	89	7	coefficients	coefficient	NOUN
ispiv-125	89	8	bi	bi	NOUN
ispiv-125	89	9	are	be	AUX
ispiv-125	89	10	randomly	randomly	ADV
ispiv-125	89	11	chosen	choose	VERB
ispiv-125	89	12	.	.	PUNCT
ispiv-125	90	1	uniformly	uniformly	ADV
ispiv-125	90	2	distributed	distribute	VERB
ispiv-125	90	3	noise	noise	NOUN
ispiv-125	90	4	ynoise	ynoise	NOUN
ispiv-125	90	5	with	with	ADP
ispiv-125	90	6	zero	zero	NUM
ispiv-125	90	7	mean	mean	NOUN
ispiv-125	90	8	and	and	CCONJ
ispiv-125	90	9	varying	vary	VERB
ispiv-125	90	10	standard	standard	ADJ
ispiv-125	90	11	deviation	deviation	NOUN
ispiv-125	90	12	σnoise	σnoise	NOUN
ispiv-125	90	13	is	be	AUX
ispiv-125	90	14	added	add	VERB
ispiv-125	90	15	to	to	ADP
ispiv-125	90	16	the	the	DET
ispiv-125	90	17	ground	ground	NOUN
ispiv-125	90	18	truth	truth	NOUN
ispiv-125	90	19	to	to	PART
ispiv-125	90	20	simulate	simulate	VERB
ispiv-125	90	21	real	real	ADJ
ispiv-125	90	22	noisy	noisy	ADJ
ispiv-125	90	23	measurement	measurement	NOUN
ispiv-125	90	24	data	datum	NOUN
ispiv-125	90	25	y.	y.	PROPN
ispiv-125	90	26	for	for	ADP
ispiv-125	90	27	the	the	DET
ispiv-125	90	28	following	follow	VERB
ispiv-125	90	29	regression	regression	NOUN
ispiv-125	90	30	analysis	analysis	NOUN
ispiv-125	90	31	,	,	PUNCT
ispiv-125	90	32	the	the	DET
ispiv-125	90	33	polynomial	polynomial	ADJ
ispiv-125	90	34	degree	degree	NOUN
ispiv-125	90	35	is	be	AUX
ispiv-125	90	36	kept	keep	VERB
ispiv-125	90	37	constant	constant	ADJ
ispiv-125	90	38	at	at	ADP
ispiv-125	90	39	p	p	NOUN
ispiv-125	90	40	=	=	PROPN
ispiv-125	90	41	2	2	NUM
ispiv-125	90	42	and	and	CCONJ
ispiv-125	90	43	the	the	DET
ispiv-125	90	44	confidence	confidence	NOUN
ispiv-125	90	45	interval	interval	NOUN
ispiv-125	90	46	ci	ci	PROPN
ispiv-125	90	47	is	be	AUX
ispiv-125	90	48	defined	define	VERB
ispiv-125	90	49	at	at	ADP
ispiv-125	90	50	a	a	DET
ispiv-125	90	51	confidence	confidence	NOUN
ispiv-125	90	52	level	level	NOUN
ispiv-125	90	53	of	of	ADP
ispiv-125	90	54	68.3	68.3	NUM
ispiv-125	90	55	%	%	NOUN
ispiv-125	90	56	(	(	PUNCT
ispiv-125	90	57	corresponding	correspond	VERB
ispiv-125	90	58	to	to	ADP
ispiv-125	90	59	1	1	NUM
ispiv-125	90	60	·	·	SYM
ispiv-125	90	61	σ	σ	NOUN
ispiv-125	90	62	for	for	ADP
ispiv-125	90	63	uniformly	uniformly	ADV
ispiv-125	90	64	distributed	distribute	VERB
ispiv-125	90	65	noise	noise	NOUN
ispiv-125	90	66	)	)	PUNCT
ispiv-125	90	67	.	.	PUNCT
ispiv-125	91	1	by	by	ADP
ispiv-125	91	2	doing	do	VERB
ispiv-125	91	3	so	so	ADV
ispiv-125	91	4	,	,	PUNCT
ispiv-125	91	5	the	the	DET
ispiv-125	91	6	calculated	calculated	ADJ
ispiv-125	91	7	confidence	confidence	NOUN
ispiv-125	91	8	intervals	interval	NOUN
ispiv-125	91	9	of	of	ADP
ispiv-125	91	10	the	the	DET
ispiv-125	91	11	polynomial	polynomial	ADJ
ispiv-125	91	12	fits	fit	NOUN
ispiv-125	91	13	should	should	AUX
ispiv-125	91	14	be	be	AUX
ispiv-125	91	15	an	an	DET
ispiv-125	91	16	equal	equal	ADJ
ispiv-125	91	17	estimate	estimate	NOUN
ispiv-125	91	18	for	for	ADP
ispiv-125	91	19	the	the	DET
ispiv-125	91	20	true	true	ADJ
ispiv-125	91	21	standard	standard	ADJ
ispiv-125	91	22	deviation	deviation	NOUN
ispiv-125	91	23	of	of	ADP
ispiv-125	91	24	the	the	DET
ispiv-125	91	25	added	add	VERB
ispiv-125	91	26	noise	noise	NOUN
ispiv-125	91	27	σnoise	σnoise	NOUN
ispiv-125	91	28	.	.	PUNCT
ispiv-125	92	1	before	before	ADP
ispiv-125	92	2	performing	perform	VERB
ispiv-125	92	3	the	the	DET
ispiv-125	92	4	actual	actual	ADJ
ispiv-125	92	5	comparison	comparison	NOUN
ispiv-125	92	6	between	between	ADP
ispiv-125	92	7	the	the	DET
ispiv-125	92	8	estimated	estimate	VERB
ispiv-125	92	9	measurement	measurement	NOUN
ispiv-125	92	10	uncertainty	uncertainty	NOUN
ispiv-125	92	11	and	and	CCONJ
ispiv-125	92	12	the	the	DET
ispiv-125	92	13	known	know	VERB
ispiv-125	92	14	ground	ground	NOUN
ispiv-125	92	15	truth	truth	NOUN
ispiv-125	92	16	,	,	PUNCT
ispiv-125	92	17	it	it	PRON
ispiv-125	92	18	was	be	AUX
ispiv-125	92	19	checked	check	VERB
ispiv-125	92	20	if	if	SCONJ
ispiv-125	92	21	the	the	DET
ispiv-125	92	22	total	total	ADJ
ispiv-125	92	23	number	number	NOUN
ispiv-125	92	24	of	of	ADP
ispiv-125	92	25	100.000	100.000	NUM
ispiv-125	92	26	independent	independent	ADJ
ispiv-125	92	27	regressions	regression	NOUN
ispiv-125	92	28	was	be	AUX
ispiv-125	92	29	large	large	ADJ
ispiv-125	92	30	enough	enough	ADV
ispiv-125	92	31	to	to	PART
ispiv-125	92	32	reach	reach	VERB
ispiv-125	92	33	statistical	statistical	ADJ
ispiv-125	92	34	convergence	convergence	NOUN
ispiv-125	92	35	.	.	PUNCT
ispiv-125	93	1	this	this	PRON
ispiv-125	93	2	was	be	AUX
ispiv-125	93	3	done	do	VERB
ispiv-125	93	4	by	by	ADP
ispiv-125	93	5	testing	test	VERB
ispiv-125	93	6	the	the	DET
ispiv-125	93	7	core	core	ADJ
ispiv-125	93	8	statement	statement	NOUN
ispiv-125	93	9	of	of	ADP
ispiv-125	93	10	the	the	DET
ispiv-125	93	11	confidence	confidence	NOUN
ispiv-125	93	12	band	band	NOUN
ispiv-125	93	13	calculation	calculation	NOUN
ispiv-125	93	14	:	:	PUNCT
ispiv-125	93	15	when	when	SCONJ
ispiv-125	93	16	calculating	calculate	VERB
ispiv-125	93	17	the	the	DET
ispiv-125	93	18	confidence	confidence	NOUN
ispiv-125	93	19	interval	interval	NOUN
ispiv-125	93	20	at	at	ADP
ispiv-125	93	21	the	the	DET
ispiv-125	93	22	defined	define	VERB
ispiv-125	93	23	68.3	68.3	NUM
ispiv-125	93	24	%	%	NOUN
ispiv-125	93	25	confidence	confidence	NOUN
ispiv-125	93	26	level	level	NOUN
ispiv-125	93	27	for	for	ADP
ispiv-125	93	28	all	all	DET
ispiv-125	93	29	100.000	100.000	NUM
ispiv-125	93	30	realizations	realization	NOUN
ispiv-125	93	31	,	,	PUNCT
ispiv-125	93	32	68.3	68.3	NUM
ispiv-125	93	33	%	%	NOUN
ispiv-125	93	34	of	of	ADP
ispiv-125	93	35	all	all	DET
ispiv-125	93	36	ground	ground	NOUN
ispiv-125	93	37	truth	truth	NOUN
ispiv-125	93	38	values	value	NOUN
ispiv-125	93	39	should	should	AUX
ispiv-125	93	40	lie	lie	VERB
ispiv-125	93	41	within	within	ADP
ispiv-125	93	42	the	the	DET
ispiv-125	93	43	estimated	estimate	VERB
ispiv-125	93	44	confidence	confidence	NOUN
ispiv-125	93	45	interval	interval	NOUN
ispiv-125	93	46	.	.	PUNCT
ispiv-125	94	1	this	this	PRON
ispiv-125	94	2	could	could	AUX
ispiv-125	94	3	be	be	AUX
ispiv-125	94	4	confirmed	confirm	VERB
ispiv-125	94	5	during	during	ADP
ispiv-125	94	6	all	all	DET
ispiv-125	94	7	considered	consider	VERB
ispiv-125	94	8	cases	case	NOUN
ispiv-125	94	9	and	and	CCONJ
ispiv-125	94	10	the	the	DET
ispiv-125	94	11	further	further	ADJ
ispiv-125	94	12	analysis	analysis	NOUN
ispiv-125	94	13	of	of	ADP
ispiv-125	94	14	the	the	DET
ispiv-125	94	15	results	result	NOUN
ispiv-125	94	16	is	be	AUX
ispiv-125	94	17	continued	continue	VERB
ispiv-125	94	18	.	.	PUNCT
ispiv-125	95	1	typical	typical	ADJ
ispiv-125	95	2	distributions	distribution	NOUN
ispiv-125	95	3	of	of	ADP
ispiv-125	95	4	the	the	DET
ispiv-125	95	5	estimated	estimate	VERB
ispiv-125	95	6	uncertainty	uncertainty	NOUN
ispiv-125	95	7	for	for	ADP
ispiv-125	95	8	the	the	DET
ispiv-125	95	9	velocity	velocity	NOUN
ispiv-125	95	10	term	term	NOUN
ispiv-125	95	11	shall	shall	AUX
ispiv-125	95	12	now	now	ADV
ispiv-125	95	13	be	be	AUX
ispiv-125	95	14	presented	present	VERB
ispiv-125	95	15	in	in	ADP
ispiv-125	95	16	fig	fig	NOUN
ispiv-125	95	17	.	.	PUNCT
ispiv-125	96	1	2	2	NUM
ispiv-125	96	2	for	for	ADP
ispiv-125	96	3	four	four	NUM
ispiv-125	96	4	different	different	ADJ
ispiv-125	96	5	filter	filter	NOUN
ispiv-125	96	6	lengths	length	NOUN
ispiv-125	96	7	n	n	CCONJ
ispiv-125	96	8	at	at	ADP
ispiv-125	96	9	a	a	DET
ispiv-125	96	10	noise	noise	NOUN
ispiv-125	96	11	level	level	NOUN
ispiv-125	96	12	of	of	ADP
ispiv-125	96	13	σnoise	σnoise	NOUN
ispiv-125	96	14	=	=	NOUN
ispiv-125	96	15	0.1	0.1	NUM
ispiv-125	96	16	.	.	PUNCT
ispiv-125	97	1	for	for	ADP
ispiv-125	97	2	a	a	DET
ispiv-125	97	3	wide	wide	ADJ
ispiv-125	97	4	filter	filter	NOUN
ispiv-125	97	5	,	,	PUNCT
ispiv-125	97	6	the	the	DET
ispiv-125	97	7	uncertainty	uncertainty	NOUN
ispiv-125	97	8	distribution	distribution	NOUN
ispiv-125	97	9	is	be	AUX
ispiv-125	97	10	uniformly	uniformly	ADV
ispiv-125	97	11	distributed	distribute	VERB
ispiv-125	97	12	and	and	CCONJ
ispiv-125	97	13	symmetric	symmetric	ADJ
ispiv-125	97	14	.	.	PUNCT
ispiv-125	98	1	as	as	SCONJ
ispiv-125	98	2	the	the	DET
ispiv-125	98	3	filter	filter	NOUN
ispiv-125	98	4	length	length	NOUN
ispiv-125	98	5	gets	get	VERB
ispiv-125	98	6	narrower	narrow	ADJ
ispiv-125	98	7	,	,	PUNCT
ispiv-125	98	8	the	the	DET
ispiv-125	98	9	distribution	distribution	NOUN
ispiv-125	98	10	starts	start	VERB
ispiv-125	98	11	to	to	PART
ispiv-125	98	12	show	show	VERB
ispiv-125	98	13	a	a	DET
ispiv-125	98	14	higher	high	ADJ
ispiv-125	98	15	positive	positive	ADJ
ispiv-125	98	16	skewness	skewness	NOUN
ispiv-125	98	17	.	.	PUNCT
ispiv-125	99	1	therefore	therefore	ADV
ispiv-125	99	2	,	,	PUNCT
ispiv-125	99	3	the	the	DET
ispiv-125	99	4	median	median	NOUN
ispiv-125	99	5	of	of	ADP
ispiv-125	99	6	the	the	DET
ispiv-125	99	7	uncertainty	uncertainty	NOUN
ispiv-125	99	8	distribution	distribution	NOUN
ispiv-125	99	9	will	will	AUX
ispiv-125	99	10	be	be	AUX
ispiv-125	99	11	used	use	VERB
ispiv-125	99	12	to	to	PART
ispiv-125	99	13	estimate	estimate	VERB
ispiv-125	99	14	the	the	DET
ispiv-125	99	15	underlying	underlie	VERB
ispiv-125	99	16	global	global	ADJ
ispiv-125	99	17	measurement	measurement	NOUN
ispiv-125	99	18	uncertainty	uncertainty	NOUN
ispiv-125	99	19	instead	instead	ADV
ispiv-125	99	20	of	of	ADP
ispiv-125	99	21	the	the	DET
ispiv-125	99	22	mean	mean	NOUN
ispiv-125	99	23	.	.	PUNCT
ispiv-125	100	1	when	when	SCONJ
ispiv-125	100	2	looking	look	VERB
ispiv-125	100	3	closely	closely	ADV
ispiv-125	100	4	on	on	ADP
ispiv-125	100	5	the	the	DET
ispiv-125	100	6	x	x	NOUN
ispiv-125	100	7	-	-	NOUN
ispiv-125	100	8	axis	axis	NOUN
ispiv-125	100	9	of	of	ADP
ispiv-125	100	10	the	the	DET
ispiv-125	100	11	plots	plot	NOUN
ispiv-125	100	12	,	,	PUNCT
ispiv-125	100	13	the	the	DET
ispiv-125	100	14	peak	peak	NOUN
ispiv-125	100	15	values	value	NOUN
ispiv-125	100	16	of	of	ADP
ispiv-125	100	17	the	the	DET
ispiv-125	100	18	distributions	distribution	NOUN
ispiv-125	100	19	are	be	AUX
ispiv-125	100	20	smaller	small	ADJ
ispiv-125	100	21	than	than	ADP
ispiv-125	100	22	the	the	DET
ispiv-125	100	23	added	add	VERB
ispiv-125	100	24	synthetic	synthetic	ADJ
ispiv-125	100	25	noise	noise	NOUN
ispiv-125	100	26	of	of	ADP
ispiv-125	100	27	σnoise	σnoise	NOUN
ispiv-125	100	28	=	=	NOUN
ispiv-125	100	29	0.1	0.1	NUM
ispiv-125	100	30	.	.	PUNCT
ispiv-125	101	1	this	this	PRON
ispiv-125	101	2	is	be	AUX
ispiv-125	101	3	due	due	ADJ
ispiv-125	101	4	the	the	DET
ispiv-125	101	5	filtering	filter	VERB
ispiv-125	101	6	characteristics	characteristic	NOUN
ispiv-125	101	7	of	of	ADP
ispiv-125	101	8	the	the	DET
ispiv-125	101	9	polynomial	polynomial	ADJ
ispiv-125	101	10	regression	regression	NOUN
ispiv-125	101	11	,	,	PUNCT
ispiv-125	101	12	where	where	SCONJ
ispiv-125	101	13	the	the	DET
ispiv-125	101	14	fitted	fit	VERB
ispiv-125	101	15	particle	particle	NOUN
ispiv-125	101	16	positions	position	NOUN
ispiv-125	101	17	ŷ	ŷ	CCONJ
ispiv-125	101	18	are	be	AUX
ispiv-125	101	19	already	already	ADV
ispiv-125	101	20	much	much	ADV
ispiv-125	101	21	closer	close	ADJ
ispiv-125	101	22	to	to	ADP
ispiv-125	101	23	the	the	DET
ispiv-125	101	24	ground	ground	NOUN
ispiv-125	101	25	truth	truth	NOUN
ispiv-125	101	26	coordinates	coordinate	VERB
ispiv-125	101	27	y.	y.	PROPN
ispiv-125	101	28	as	as	ADP
ispiv-125	101	29	a	a	DET
ispiv-125	101	30	result	result	NOUN
ispiv-125	101	31	,	,	PUNCT
ispiv-125	101	32	if	if	SCONJ
ispiv-125	101	33	one	one	PRON
ispiv-125	101	34	is	be	AUX
ispiv-125	101	35	interested	interested	ADJ
ispiv-125	101	36	,	,	PUNCT
ispiv-125	101	37	if	if	SCONJ
ispiv-125	101	38	the	the	DET
ispiv-125	101	39	estimated	estimate	VERB
ispiv-125	101	40	uncertainty	uncertainty	NOUN
ispiv-125	101	41	uy	uy	ADP
ispiv-125	101	42	correctly	correctly	ADV
ispiv-125	101	43	predicts	predict	VERB
ispiv-125	101	44	the	the	DET
ispiv-125	101	45	ground	ground	NOUN
ispiv-125	101	46	truth	truth	NOUN
ispiv-125	101	47	uncertainty	uncertainty	NOUN
ispiv-125	101	48	,	,	PUNCT
ispiv-125	101	49	it	it	PRON
ispiv-125	101	50	has	have	VERB
ispiv-125	101	51	to	to	PART
ispiv-125	101	52	be	be	AUX
ispiv-125	101	53	compared	compare	VERB
ispiv-125	101	54	to	to	ADP
ispiv-125	101	55	the	the	DET
ispiv-125	101	56	remaining	remain	VERB
ispiv-125	101	57	noise	noise	NOUN
ispiv-125	101	58	σfit	σfit	NOUN
ispiv-125	101	59	of	of	ADP
ispiv-125	101	60	the	the	DET
ispiv-125	101	61	fitted	fit	VERB
ispiv-125	101	62	positions	position	NOUN
ispiv-125	101	63	.	.	PUNCT
ispiv-125	102	1	by	by	ADP
ispiv-125	102	2	looking	look	VERB
ispiv-125	102	3	at	at	ADP
ispiv-125	102	4	the	the	DET
ispiv-125	102	5	uy	uy	PROPN
ispiv-125	102	6	distributions	distribution	NOUN
ispiv-125	102	7	,	,	PUNCT
ispiv-125	102	8	it	it	PRON
ispiv-125	102	9	becomes	become	VERB
ispiv-125	102	10	clear	clear	ADJ
ispiv-125	102	11	,	,	PUNCT
ispiv-125	102	12	that	that	SCONJ
ispiv-125	102	13	the	the	DET
ispiv-125	102	14	polynomial	polynomial	ADJ
ispiv-125	102	15	filtering	filtering	NOUN
ispiv-125	102	16	process	process	NOUN
ispiv-125	102	17	substantially	substantially	ADV
ispiv-125	102	18	reduces	reduce	VERB
ispiv-125	102	19	the	the	DET
ispiv-125	102	20	remaining	remain	VERB
ispiv-125	102	21	noise	noise	NOUN
ispiv-125	102	22	in	in	ADP
ispiv-125	102	23	the	the	DET
ispiv-125	102	24	measurement	measurement	NOUN
ispiv-125	102	25	data	datum	NOUN
ispiv-125	102	26	.	.	PUNCT
ispiv-125	103	1	dependent	dependent	ADJ
ispiv-125	103	2	on	on	ADP
ispiv-125	103	3	the	the	DET
ispiv-125	103	4	actual	actual	ADJ
ispiv-125	103	5	filter	filter	NOUN
ispiv-125	103	6	length	length	NOUN
ispiv-125	103	7	n	n	CCONJ
ispiv-125	103	8	a	a	DET
ispiv-125	103	9	reduction	reduction	NOUN
ispiv-125	103	10	of	of	ADP
ispiv-125	103	11	30	30	NUM
ispiv-125	103	12	%	%	NOUN
ispiv-125	103	13	50	50	NUM
ispiv-125	103	14	%	%	NOUN
ispiv-125	103	15	was	be	AUX
ispiv-125	103	16	found	find	VERB
ispiv-125	103	17	between	between	ADP
ispiv-125	103	18	the	the	DET
ispiv-125	103	19	raw	raw	ADJ
ispiv-125	103	20	measurement	measurement	NOUN
ispiv-125	103	21	noise	noise	NOUN
ispiv-125	103	22	σnoise	σnoise	NOUN
ispiv-125	103	23	and	and	CCONJ
ispiv-125	103	24	the	the	DET
ispiv-125	103	25	remaining	remain	VERB
ispiv-125	103	26	noise	noise	NOUN
ispiv-125	103	27	after	after	ADP
ispiv-125	103	28	the	the	DET
ispiv-125	103	29	regression	regression	NOUN
ispiv-125	103	30	σfit	σfit	NOUN
ispiv-125	103	31	.	.	PUNCT
ispiv-125	104	1	now	now	ADV
ispiv-125	104	2	,	,	PUNCT
ispiv-125	104	3	an	an	DET
ispiv-125	104	4	overview	overview	NOUN
ispiv-125	104	5	of	of	ADP
ispiv-125	104	6	the	the	DET
ispiv-125	104	7	relative	relative	ADJ
ispiv-125	104	8	deviation	deviation	NOUN
ispiv-125	104	9	of	of	ADP
ispiv-125	104	10	the	the	DET
ispiv-125	104	11	estimated	estimate	VERB
ispiv-125	104	12	position	position	NOUN
ispiv-125	104	13	uncertainty	uncertainty	NOUN
ispiv-125	104	14	uy	uy	ADP
ispiv-125	104	15	by	by	ADP
ispiv-125	104	16	the	the	DET
ispiv-125	104	17	liner	liner	NOUN
ispiv-125	104	18	regression	regression	NOUN
ispiv-125	104	19	analysis	analysis	NOUN
ispiv-125	104	20	and	and	CCONJ
ispiv-125	104	21	the	the	DET
ispiv-125	104	22	modeled	model	VERB
ispiv-125	104	23	ground	ground	NOUN
ispiv-125	104	24	truth	truth	NOUN
ispiv-125	104	25	uncertainty	uncertainty	NOUN
ispiv-125	104	26	after	after	ADP
ispiv-125	104	27	the	the	DET
ispiv-125	104	28	regression	regression	NOUN
ispiv-125	104	29	σfit	σfit	ADV
ispiv-125	104	30	as	as	ADP
ispiv-125	104	31	a	a	DET
ispiv-125	104	32	function	function	NOUN
ispiv-125	104	33	of	of	ADP
ispiv-125	104	34	the	the	DET
ispiv-125	104	35	filter	filter	NOUN
ispiv-125	104	36	length	length	NOUN
ispiv-125	104	37	n	n	PROPN
ispiv-125	104	38	and	and	CCONJ
ispiv-125	104	39	the	the	DET
ispiv-125	104	40	original	original	ADJ
ispiv-125	104	41	noise	noise	NOUN
ispiv-125	104	42	level	level	NOUN
ispiv-125	104	43	σnoise	σnoise	NOUN
ispiv-125	104	44	is	be	AUX
ispiv-125	104	45	given	give	VERB
ispiv-125	104	46	in	in	ADP
ispiv-125	104	47	fig	fig	NOUN
ispiv-125	104	48	.	.	PUNCT
ispiv-125	105	1	3	3	X
ispiv-125	105	2	.	.	X
ispiv-125	105	3	two	two	NUM
ispiv-125	105	4	main	main	ADJ
ispiv-125	105	5	results	result	NOUN
ispiv-125	105	6	can	can	AUX
ispiv-125	105	7	be	be	AUX
ispiv-125	105	8	stated	state	VERB
ispiv-125	105	9	by	by	ADP
ispiv-125	105	10	the	the	DET
ispiv-125	105	11	curves	curve	NOUN
ispiv-125	105	12	given	give	VERB
ispiv-125	105	13	here	here	ADV
ispiv-125	105	14	.	.	PUNCT
ispiv-125	106	1	at	at	ADP
ispiv-125	106	2	first	first	ADV
ispiv-125	106	3	,	,	PUNCT
ispiv-125	106	4	the	the	DET
ispiv-125	106	5	true	true	ADJ
ispiv-125	106	6	uncertainty	uncertainty	NOUN
ispiv-125	106	7	can	can	AUX
ispiv-125	106	8	be	be	AUX
ispiv-125	106	9	estimated	estimate	VERB
ispiv-125	106	10	very	very	ADV
ispiv-125	106	11	well	well	ADV
ispiv-125	106	12	with	with	ADP
ispiv-125	106	13	filter	filter	NOUN
ispiv-125	106	14	lengths	length	NOUN
ispiv-125	106	15	larger	large	ADJ
ispiv-125	106	16	than	than	ADP
ispiv-125	106	17	21	21	NUM
ispiv-125	106	18	.	.	PUNCT
ispiv-125	107	1	for	for	ADP
ispiv-125	107	2	smaller	small	ADJ
ispiv-125	107	3	0.02	0.02	NUM
ispiv-125	107	4	0.01	0.01	NUM
ispiv-125	107	5	0.00	0.00	NUM
ispiv-125	107	6	0.01	0.01	NUM
ispiv-125	107	7	0.02	0.02	NUM
ispiv-125	107	8	time	time	NOUN
ispiv-125	107	9	[	[	X
ispiv-125	107	10	s	s	X
ispiv-125	107	11	]	]	X
ispiv-125	107	12	0.0022	0.0022	NUM
ispiv-125	107	13	0.0021	0.0021	NUM
ispiv-125	107	14	0.0020	0.0020	NUM
ispiv-125	107	15	0.0019	0.0019	NUM
ispiv-125	107	16	0.0018	0.0018	NUM
ispiv-125	107	17	0.0017	0.0017	NUM
ispiv-125	107	18	co	co	NOUN
ispiv-125	107	19	o	o	PROPN
ispiv-125	107	20	rd	rd	PROPN
ispiv-125	107	21	in	in	ADP
ispiv-125	107	22	a	a	DET
ispiv-125	107	23	te	te	PROPN
ispiv-125	107	24	[	[	PUNCT
ispiv-125	107	25	m	m	NOUN
ispiv-125	107	26	]	]	X
ispiv-125	107	27	measurement	measurement	PROPN
ispiv-125	107	28	data	data	PROPN
ispiv-125	107	29	ci	ci	PROPN
ispiv-125	107	30	ci	ci	PROPN
ispiv-125	107	31	extrapolated	extrapolate	VERB
ispiv-125	107	32	re	re	VERB
ispiv-125	107	33	si	si	PROPN
ispiv-125	107	34	d	d	PROPN
ispiv-125	107	35	u	u	PROPN
ispiv-125	107	36	a	a	DET
ispiv-125	107	37	ls	ls	X
ispiv-125	107	38	[	[	PUNCT
ispiv-125	107	39	m	m	NOUN
ispiv-125	107	40	]	]	X
ispiv-125	107	41	figure	figure	NOUN
ispiv-125	107	42	4	4	NUM
ispiv-125	107	43	:	:	PUNCT
ispiv-125	107	44	adaptively	adaptively	ADV
ispiv-125	107	45	determined	determine	VERB
ispiv-125	107	46	polynomial	polynomial	ADJ
ispiv-125	107	47	filters	filter	NOUN
ispiv-125	107	48	for	for	ADP
ispiv-125	107	49	a	a	DET
ispiv-125	107	50	sample	sample	NOUN
ispiv-125	107	51	trajectory	trajectory	NOUN
ispiv-125	107	52	(	(	PUNCT
ispiv-125	107	53	left	leave	VERB
ispiv-125	107	54	:	:	PUNCT
ispiv-125	107	55	2nd	2nd	ADJ
ispiv-125	107	56	order	order	NOUN
ispiv-125	107	57	polynomial	polynomial	ADJ
ispiv-125	107	58	,	,	PUNCT
ispiv-125	107	59	right	right	ADJ
ispiv-125	107	60	:	:	PUNCT
ispiv-125	107	61	3nd	3nd	ADJ
ispiv-125	107	62	order	order	NOUN
ispiv-125	107	63	polynomial	polynomial	ADJ
ispiv-125	107	64	)	)	PUNCT
ispiv-125	107	65	.	.	PUNCT
ispiv-125	108	1	the	the	DET
ispiv-125	108	2	confidence	confidence	NOUN
ispiv-125	108	3	interval	interval	NOUN
ispiv-125	108	4	ci	ci	PROPN
ispiv-125	108	5	(	(	PUNCT
ispiv-125	108	6	red	red	PROPN
ispiv-125	108	7	)	)	PUNCT
ispiv-125	108	8	for	for	ADP
ispiv-125	108	9	the	the	DET
ispiv-125	108	10	evaluated	evaluate	VERB
ispiv-125	108	11	measurement	measurement	NOUN
ispiv-125	108	12	points	point	NOUN
ispiv-125	108	13	is	be	AUX
ispiv-125	108	14	extrapolated	extrapolate	VERB
ispiv-125	108	15	at	at	ADP
ispiv-125	108	16	the	the	DET
ispiv-125	108	17	filter	filter	NOUN
ispiv-125	108	18	ends	end	NOUN
ispiv-125	108	19	(	(	PUNCT
ispiv-125	108	20	blue	blue	ADJ
ispiv-125	108	21	)	)	PUNCT
ispiv-125	108	22	to	to	PART
ispiv-125	108	23	check	check	VERB
ispiv-125	108	24	,	,	PUNCT
ispiv-125	108	25	if	if	SCONJ
ispiv-125	108	26	the	the	DET
ispiv-125	108	27	filter	filter	NOUN
ispiv-125	108	28	can	can	AUX
ispiv-125	108	29	be	be	AUX
ispiv-125	108	30	extended	extend	VERB
ispiv-125	108	31	further	far	ADV
ispiv-125	108	32	.	.	PUNCT
ispiv-125	109	1	filter	filter	NOUN
ispiv-125	109	2	lengths	length	NOUN
ispiv-125	109	3	,	,	PUNCT
ispiv-125	109	4	a	a	DET
ispiv-125	109	5	strong	strong	ADJ
ispiv-125	109	6	increase	increase	NOUN
ispiv-125	109	7	in	in	ADP
ispiv-125	109	8	the	the	DET
ispiv-125	109	9	relative	relative	ADJ
ispiv-125	109	10	error	error	NOUN
ispiv-125	109	11	can	can	AUX
ispiv-125	109	12	be	be	AUX
ispiv-125	109	13	observed	observe	VERB
ispiv-125	109	14	.	.	PUNCT
ispiv-125	110	1	for	for	ADP
ispiv-125	110	2	the	the	DET
ispiv-125	110	3	smallest	small	ADJ
ispiv-125	110	4	considered	consider	VERB
ispiv-125	110	5	filter	filter	NOUN
ispiv-125	110	6	length	length	NOUN
ispiv-125	110	7	n	n	NOUN
ispiv-125	110	8	=	=	SYM
ispiv-125	110	9	5	5	NUM
ispiv-125	110	10	the	the	DET
ispiv-125	110	11	relative	relative	ADJ
ispiv-125	110	12	error	error	NOUN
ispiv-125	110	13	reaches	reach	VERB
ispiv-125	110	14	10	10	NUM
ispiv-125	110	15	%	%	NOUN
ispiv-125	110	16	.	.	PUNCT
ispiv-125	111	1	as	as	ADP
ispiv-125	111	2	a	a	DET
ispiv-125	111	3	second	second	ADJ
ispiv-125	111	4	result	result	NOUN
ispiv-125	111	5	it	it	PRON
ispiv-125	111	6	can	can	AUX
ispiv-125	111	7	be	be	AUX
ispiv-125	111	8	seen	see	VERB
ispiv-125	111	9	,	,	PUNCT
ispiv-125	111	10	that	that	SCONJ
ispiv-125	111	11	the	the	DET
ispiv-125	111	12	uncertainty	uncertainty	NOUN
ispiv-125	111	13	estimation	estimation	NOUN
ispiv-125	111	14	is	be	AUX
ispiv-125	111	15	independent	independent	ADJ
ispiv-125	111	16	of	of	ADP
ispiv-125	111	17	the	the	DET
ispiv-125	111	18	added	add	VERB
ispiv-125	111	19	noise	noise	NOUN
ispiv-125	111	20	level	level	NOUN
ispiv-125	111	21	as	as	ADV
ispiv-125	111	22	long	long	ADV
ispiv-125	111	23	as	as	SCONJ
ispiv-125	111	24	the	the	DET
ispiv-125	111	25	used	used	ADJ
ispiv-125	111	26	polynomial	polynomial	ADJ
ispiv-125	111	27	filter	filter	NOUN
ispiv-125	111	28	matches	match	VERB
ispiv-125	111	29	the	the	DET
ispiv-125	111	30	underlying	underlying	ADJ
ispiv-125	111	31	raw	raw	ADJ
ispiv-125	111	32	data	datum	NOUN
ispiv-125	111	33	,	,	PUNCT
ispiv-125	111	34	which	which	PRON
ispiv-125	111	35	is	be	AUX
ispiv-125	111	36	always	always	ADV
ispiv-125	111	37	the	the	DET
ispiv-125	111	38	case	case	NOUN
ispiv-125	111	39	in	in	ADP
ispiv-125	111	40	this	this	DET
ispiv-125	111	41	numerical	numerical	ADJ
ispiv-125	111	42	investigation	investigation	NOUN
ispiv-125	111	43	.	.	PUNCT
ispiv-125	112	1	3	3	NUM
ispiv-125	112	2	adaptive	adaptive	ADJ
ispiv-125	112	3	track	track	NOUN
ispiv-125	112	4	filter	filter	NOUN
ispiv-125	112	5	based	base	VERB
ispiv-125	112	6	on	on	ADP
ispiv-125	112	7	the	the	DET
ispiv-125	112	8	determined	determined	ADJ
ispiv-125	112	9	uncertainties	uncertainty	NOUN
ispiv-125	112	10	,	,	PUNCT
ispiv-125	112	11	it	it	PRON
ispiv-125	112	12	becomes	become	VERB
ispiv-125	112	13	possible	possible	ADJ
ispiv-125	112	14	to	to	PART
ispiv-125	112	15	implement	implement	VERB
ispiv-125	112	16	an	an	DET
ispiv-125	112	17	adaptive	adaptive	ADJ
ispiv-125	112	18	track	track	NOUN
ispiv-125	112	19	filter	filter	NOUN
ispiv-125	112	20	similar	similar	ADJ
ispiv-125	112	21	to	to	ADP
ispiv-125	112	22	the	the	DET
ispiv-125	112	23	anisotropic	anisotropic	NOUN
ispiv-125	112	24	denoising	denoise	VERB
ispiv-125	112	25	filter	filter	NOUN
ispiv-125	112	26	introduced	introduce	VERB
ispiv-125	112	27	for	for	ADP
ispiv-125	112	28	piv	piv	NOUN
ispiv-125	112	29	techniques	technique	NOUN
ispiv-125	112	30	by	by	ADP
ispiv-125	112	31	wieneke	wieneke	NOUN
ispiv-125	112	32	(	(	PUNCT
ispiv-125	112	33	2017	2017	NUM
ispiv-125	112	34	)	)	PUNCT
ispiv-125	112	35	.	.	PUNCT
ispiv-125	113	1	the	the	DET
ispiv-125	113	2	theoretical	theoretical	ADJ
ispiv-125	113	3	advantage	advantage	NOUN
ispiv-125	113	4	of	of	ADP
ispiv-125	113	5	such	such	DET
ispiv-125	113	6	an	an	DET
ispiv-125	113	7	approach	approach	NOUN
ispiv-125	113	8	is	be	AUX
ispiv-125	113	9	,	,	PUNCT
ispiv-125	113	10	that	that	SCONJ
ispiv-125	113	11	the	the	DET
ispiv-125	113	12	filter	filter	NOUN
ispiv-125	113	13	automatically	automatically	ADV
ispiv-125	113	14	adopts	adopt	VERB
ispiv-125	113	15	to	to	ADP
ispiv-125	113	16	an	an	DET
ispiv-125	113	17	optimum	optimum	NOUN
ispiv-125	113	18	between	between	ADP
ispiv-125	113	19	denoising	denoising	NOUN
ispiv-125	113	20	strength	strength	NOUN
ispiv-125	113	21	and	and	CCONJ
ispiv-125	113	22	truncation	truncation	NOUN
ispiv-125	113	23	error	error	NOUN
ispiv-125	113	24	and	and	CCONJ
ispiv-125	113	25	objectively	objectively	ADV
ispiv-125	113	26	sets	set	VERB
ispiv-125	113	27	the	the	DET
ispiv-125	113	28	most	most	ADV
ispiv-125	113	29	suitable	suitable	ADJ
ispiv-125	113	30	filter	filter	NOUN
ispiv-125	113	31	length	length	NOUN
ispiv-125	113	32	,	,	PUNCT
ispiv-125	113	33	without	without	ADP
ispiv-125	113	34	the	the	DET
ispiv-125	113	35	need	need	NOUN
ispiv-125	113	36	of	of	ADP
ispiv-125	113	37	a	a	DET
ispiv-125	113	38	user	user	NOUN
ispiv-125	113	39	’s	’s	PART
ispiv-125	113	40	input	input	NOUN
ispiv-125	113	41	.	.	PUNCT
ispiv-125	114	1	the	the	DET
ispiv-125	114	2	implementation	implementation	NOUN
ispiv-125	114	3	of	of	ADP
ispiv-125	114	4	the	the	DET
ispiv-125	114	5	adaptive	adaptive	ADJ
ispiv-125	114	6	track	track	NOUN
ispiv-125	114	7	filter	filter	NOUN
ispiv-125	114	8	is	be	AUX
ispiv-125	114	9	achieved	achieve	VERB
ispiv-125	114	10	by	by	ADP
ispiv-125	114	11	iterative	iterative	NOUN
ispiv-125	114	12	updating	updating	NOUN
ispiv-125	114	13	of	of	ADP
ispiv-125	114	14	the	the	DET
ispiv-125	114	15	polynomial	polynomial	ADJ
ispiv-125	114	16	regression	regression	NOUN
ispiv-125	114	17	(	(	PUNCT
ispiv-125	114	18	starting	start	VERB
ispiv-125	114	19	from	from	ADP
ispiv-125	114	20	a	a	DET
ispiv-125	114	21	small	small	ADJ
ispiv-125	114	22	filter	filter	NOUN
ispiv-125	114	23	length	length	NOUN
ispiv-125	114	24	)	)	PUNCT
ispiv-125	114	25	,	,	PUNCT
ispiv-125	114	26	calculating	calculate	VERB
ispiv-125	114	27	the	the	DET
ispiv-125	114	28	confidence	confidence	NOUN
ispiv-125	114	29	band	band	NOUN
ispiv-125	114	30	and	and	CCONJ
ispiv-125	114	31	checking	check	VERB
ispiv-125	114	32	if	if	SCONJ
ispiv-125	114	33	the	the	DET
ispiv-125	114	34	next	next	ADJ
ispiv-125	114	35	points	point	NOUN
ispiv-125	114	36	along	along	ADP
ispiv-125	114	37	the	the	DET
ispiv-125	114	38	trajectory	trajectory	NOUN
ispiv-125	114	39	are	be	AUX
ispiv-125	114	40	still	still	ADV
ispiv-125	114	41	within	within	ADP
ispiv-125	114	42	the	the	DET
ispiv-125	114	43	estimated	estimated	ADJ
ispiv-125	114	44	uncertainty	uncertainty	NOUN
ispiv-125	114	45	band	band	NOUN
ispiv-125	114	46	.	.	PUNCT
ispiv-125	115	1	if	if	SCONJ
ispiv-125	115	2	so	so	ADV
ispiv-125	115	3	,	,	PUNCT
ispiv-125	115	4	the	the	DET
ispiv-125	115	5	filter	filter	NOUN
ispiv-125	115	6	length	length	NOUN
ispiv-125	115	7	is	be	AUX
ispiv-125	115	8	extended	extend	VERB
ispiv-125	115	9	,	,	PUNCT
ispiv-125	115	10	and	and	CCONJ
ispiv-125	115	11	if	if	SCONJ
ispiv-125	115	12	not	not	PART
ispiv-125	115	13	,	,	PUNCT
ispiv-125	115	14	the	the	DET
ispiv-125	115	15	final	final	ADJ
ispiv-125	115	16	filter	filter	NOUN
ispiv-125	115	17	length	length	NOUN
ispiv-125	115	18	is	be	AUX
ispiv-125	115	19	reached	reach	VERB
ispiv-125	115	20	.	.	PUNCT
ispiv-125	116	1	as	as	SCONJ
ispiv-125	116	2	it	it	PRON
ispiv-125	116	3	is	be	AUX
ispiv-125	116	4	shown	show	VERB
ispiv-125	116	5	in	in	ADP
ispiv-125	116	6	fig	fig	NOUN
ispiv-125	116	7	.	.	PUNCT
ispiv-125	117	1	4	4	NUM
ispiv-125	117	2	,	,	PUNCT
ispiv-125	117	3	the	the	DET
ispiv-125	117	4	optimal	optimal	ADJ
ispiv-125	117	5	filter	filter	NOUN
ispiv-125	117	6	length	length	NOUN
ispiv-125	117	7	can	can	AUX
ispiv-125	117	8	be	be	AUX
ispiv-125	117	9	very	very	ADV
ispiv-125	117	10	different	different	ADJ
ispiv-125	117	11	,	,	PUNCT
ispiv-125	117	12	when	when	SCONJ
ispiv-125	117	13	approximating	approximate	VERB
ispiv-125	117	14	the	the	DET
ispiv-125	117	15	trajectory	trajectory	NOUN
ispiv-125	117	16	by	by	ADP
ispiv-125	117	17	polynomials	polynomial	NOUN
ispiv-125	117	18	of	of	ADP
ispiv-125	117	19	different	different	ADJ
ispiv-125	117	20	order	order	NOUN
ispiv-125	117	21	.	.	PUNCT
ispiv-125	118	1	in	in	ADP
ispiv-125	118	2	order	order	NOUN
ispiv-125	118	3	to	to	PART
ispiv-125	118	4	test	test	VERB
ispiv-125	118	5	the	the	DET
ispiv-125	118	6	performance	performance	NOUN
ispiv-125	118	7	of	of	ADP
ispiv-125	118	8	the	the	DET
ispiv-125	118	9	adaptive	adaptive	ADJ
ispiv-125	118	10	track	track	NOUN
ispiv-125	118	11	filter	filter	NOUN
ispiv-125	118	12	to	to	ADP
ispiv-125	118	13	real	real	ADJ
ispiv-125	118	14	experimental	experimental	ADJ
ispiv-125	118	15	data	datum	NOUN
ispiv-125	118	16	,	,	PUNCT
ispiv-125	118	17	it	it	PRON
ispiv-125	118	18	is	be	AUX
ispiv-125	118	19	applied	apply	VERB
ispiv-125	118	20	to	to	ADP
ispiv-125	118	21	the	the	DET
ispiv-125	118	22	measurement	measurement	NOUN
ispiv-125	118	23	data	datum	NOUN
ispiv-125	118	24	obtained	obtain	VERB
ispiv-125	118	25	from	from	ADP
ispiv-125	118	26	violato	violato	NOUN
ispiv-125	118	27	and	and	CCONJ
ispiv-125	118	28	scarano	scarano	PROPN
ispiv-125	118	29	(	(	PUNCT
ispiv-125	118	30	2011	2011	NUM
ispiv-125	118	31	)	)	PUNCT
ispiv-125	118	32	.	.	PUNCT
ispiv-125	119	1	the	the	DET
ispiv-125	119	2	particle	particle	NOUN
ispiv-125	119	3	trajectory	trajectory	NOUN
ispiv-125	119	4	reconstruction	reconstruction	NOUN
ispiv-125	119	5	is	be	AUX
ispiv-125	119	6	performed	perform	VERB
ispiv-125	119	7	on	on	ADP
ispiv-125	119	8	a	a	DET
ispiv-125	119	9	time	time	NOUN
ispiv-125	119	10	series	series	NOUN
ispiv-125	119	11	consisting	consist	VERB
ispiv-125	119	12	of	of	ADP
ispiv-125	119	13	50	50	NUM
ispiv-125	119	14	time	time	NOUN
ispiv-125	119	15	steps	step	NOUN
ispiv-125	119	16	with	with	ADP
ispiv-125	119	17	the	the	DET
ispiv-125	119	18	shake	shake	VERB
ispiv-125	119	19	-	-	PUNCT
ispiv-125	119	20	the	the	DET
ispiv-125	119	21	-	-	PUNCT
ispiv-125	119	22	box	box	NOUN
ispiv-125	119	23	(	(	PUNCT
ispiv-125	119	24	stb	stb	PROPN
ispiv-125	119	25	)	)	PUNCT
ispiv-125	119	26	method	method	NOUN
ispiv-125	119	27	,	,	PUNCT
ispiv-125	119	28	as	as	SCONJ
ispiv-125	119	29	implemented	implement	VERB
ispiv-125	119	30	in	in	ADP
ispiv-125	119	31	davis	davis	PROPN
ispiv-125	119	32	10.1.2	10.1.2	PROPN
ispiv-125	119	33	(	(	PUNCT
ispiv-125	119	34	lavision	lavision	NOUN
ispiv-125	119	35	gmbh	gmbh	NOUN
ispiv-125	119	36	)	)	PUNCT
ispiv-125	119	37	.	.	PUNCT
ispiv-125	120	1	from	from	ADP
ispiv-125	120	2	the	the	DET
ispiv-125	120	3	final	final	ADJ
ispiv-125	120	4	stb	stb	NOUN
ispiv-125	120	5	processing	processing	NOUN
ispiv-125	120	6	,	,	PUNCT
ispiv-125	120	7	only	only	ADV
ispiv-125	120	8	trajectories	trajectory	NOUN
ispiv-125	120	9	,	,	PUNCT
ispiv-125	120	10	which	which	PRON
ispiv-125	120	11	are	be	AUX
ispiv-125	120	12	tracked	track	VERB
ispiv-125	120	13	for	for	ADP
ispiv-125	120	14	more	more	ADJ
ispiv-125	120	15	than	than	ADP
ispiv-125	120	16	10	10	NUM
ispiv-125	120	17	time	time	NOUN
ispiv-125	120	18	steps	step	NOUN
ispiv-125	120	19	,	,	PUNCT
ispiv-125	120	20	are	be	AUX
ispiv-125	120	21	kept	keep	VERB
ispiv-125	120	22	to	to	PART
ispiv-125	120	23	minimize	minimize	VERB
ispiv-125	120	24	the	the	DET
ispiv-125	120	25	probability	probability	NOUN
ispiv-125	120	26	of	of	ADP
ispiv-125	120	27	having	have	VERB
ispiv-125	120	28	any	any	DET
ispiv-125	120	29	potential	potential	ADJ
ispiv-125	120	30	ghost	ghost	NOUN
ispiv-125	120	31	tracks	track	NOUN
ispiv-125	120	32	in	in	ADP
ispiv-125	120	33	the	the	DET
ispiv-125	120	34	data	data	NOUN
ispiv-125	120	35	set	set	VERB
ispiv-125	120	36	.	.	PUNCT
ispiv-125	121	1	after	after	ADP
ispiv-125	121	2	that	that	PRON
ispiv-125	121	3	,	,	PUNCT
ispiv-125	121	4	10.000	10.000	NUM
ispiv-125	121	5	trajectories	trajectory	NOUN
ispiv-125	121	6	are	be	AUX
ispiv-125	121	7	randomly	randomly	ADV
ispiv-125	121	8	selected	select	VERB
ispiv-125	121	9	from	from	ADP
ispiv-125	121	10	the	the	DET
ispiv-125	121	11	totality	totality	NOUN
ispiv-125	121	12	of	of	ADP
ispiv-125	121	13	all	all	DET
ispiv-125	121	14	tracked	track	VERB
ispiv-125	121	15	particles	particle	NOUN
ispiv-125	121	16	.	.	PUNCT
ispiv-125	122	1	furthermore	furthermore	ADV
ispiv-125	122	2	,	,	PUNCT
ispiv-125	122	3	only	only	ADV
ispiv-125	122	4	the	the	DET
ispiv-125	122	5	y	y	PROPN
ispiv-125	122	6	-	-	PUNCT
ispiv-125	122	7	component	component	NOUN
ispiv-125	122	8	of	of	ADP
ispiv-125	122	9	the	the	DET
ispiv-125	122	10	position	position	NOUN
ispiv-125	122	11	coordinates	coordinate	NOUN
ispiv-125	122	12	and	and	CCONJ
ispiv-125	122	13	the	the	DET
ispiv-125	122	14	middle	middle	ADJ
ispiv-125	122	15	point	point	NOUN
ispiv-125	122	16	of	of	ADP
ispiv-125	122	17	all	all	DET
ispiv-125	122	18	trajectories	trajectory	NOUN
ispiv-125	122	19	will	will	AUX
ispiv-125	122	20	be	be	AUX
ispiv-125	122	21	evaluated	evaluate	VERB
ispiv-125	122	22	with	with	ADP
ispiv-125	122	23	respect	respect	NOUN
ispiv-125	122	24	to	to	ADP
ispiv-125	122	25	their	their	PRON
ispiv-125	122	26	uncertainty	uncertainty	NOUN
ispiv-125	122	27	value	value	NOUN
ispiv-125	122	28	,	,	PUNCT
ispiv-125	122	29	so	so	SCONJ
ispiv-125	122	30	that	that	SCONJ
ispiv-125	122	31	any	any	DET
ispiv-125	122	32	influences	influence	NOUN
ispiv-125	122	33	from	from	ADP
ispiv-125	122	34	the	the	DET
ispiv-125	122	35	ends	end	NOUN
ispiv-125	122	36	of	of	ADP
ispiv-125	122	37	the	the	DET
ispiv-125	122	38	trajectory	trajectory	NOUN
ispiv-125	122	39	can	can	AUX
ispiv-125	122	40	be	be	AUX
ispiv-125	122	41	neglected	neglect	VERB
ispiv-125	122	42	for	for	ADP
ispiv-125	122	43	now	now	ADV
ispiv-125	122	44	.	.	PUNCT
ispiv-125	123	1	as	as	ADP
ispiv-125	123	2	a	a	DET
ispiv-125	123	3	first	first	ADJ
ispiv-125	123	4	result	result	NOUN
ispiv-125	123	5	a	a	DET
ispiv-125	123	6	comparison	comparison	NOUN
ispiv-125	123	7	between	between	ADP
ispiv-125	123	8	the	the	DET
ispiv-125	123	9	distribution	distribution	NOUN
ispiv-125	123	10	of	of	ADP
ispiv-125	123	11	the	the	DET
ispiv-125	123	12	reconstructed	reconstructed	ADJ
ispiv-125	123	13	trajectory	trajectory	NOUN
ispiv-125	123	14	lengths	length	NOUN
ispiv-125	123	15	and	and	CCONJ
ispiv-125	123	16	the	the	DET
ispiv-125	123	17	automatically	automatically	ADV
ispiv-125	123	18	determined	determine	VERB
ispiv-125	123	19	optimal	optimal	ADJ
ispiv-125	123	20	polynomial	polynomial	ADJ
ispiv-125	123	21	filter	filter	NOUN
ispiv-125	123	22	length	length	NOUN
ispiv-125	123	23	in	in	ADP
ispiv-125	123	24	presented	present	VERB
ispiv-125	123	25	in	in	ADP
ispiv-125	123	26	fig	fig	NOUN
ispiv-125	123	27	.	.	PUNCT
ispiv-125	124	1	5	5	X
ispiv-125	124	2	.	.	X
ispiv-125	124	3	most	most	ADJ
ispiv-125	124	4	of	of	ADP
ispiv-125	124	5	the	the	DET
ispiv-125	124	6	reconstructed	reconstructed	ADJ
ispiv-125	124	7	trajectories	trajectory	NOUN
ispiv-125	124	8	are	be	AUX
ispiv-125	124	9	between	between	ADP
ispiv-125	124	10	10	10	NUM
ispiv-125	124	11	-	-	SYM
ispiv-125	124	12	20	20	NUM
ispiv-125	124	13	time	time	NOUN
ispiv-125	124	14	steps	step	NOUN
ispiv-125	124	15	long	long	ADJ
ispiv-125	124	16	and	and	CCONJ
ispiv-125	124	17	the	the	DET
ispiv-125	124	18	distribution	distribution	NOUN
ispiv-125	124	19	shows	show	VERB
ispiv-125	124	20	a	a	DET
ispiv-125	124	21	successive	successive	ADJ
ispiv-125	124	22	decrease	decrease	NOUN
ispiv-125	124	23	in	in	ADP
ispiv-125	124	24	the	the	DET
ispiv-125	124	25	number	number	NOUN
ispiv-125	124	26	of	of	ADP
ispiv-125	124	27	longer	long	ADJ
ispiv-125	124	28	tracks	track	NOUN
ispiv-125	124	29	.	.	PUNCT
ispiv-125	125	1	but	but	CCONJ
ispiv-125	125	2	a	a	DET
ispiv-125	125	3	significant	significant	ADJ
ispiv-125	125	4	amount	amount	NOUN
ispiv-125	125	5	of	of	ADP
ispiv-125	125	6	particles	particle	NOUN
ispiv-125	125	7	could	could	AUX
ispiv-125	125	8	also	also	ADV
ispiv-125	125	9	be	be	AUX
ispiv-125	125	10	tracked	track	VERB
ispiv-125	125	11	during	during	ADP
ispiv-125	125	12	the	the	DET
ispiv-125	125	13	whole	whole	ADJ
ispiv-125	125	14	time	time	NOUN
ispiv-125	125	15	series	series	PROPN
ispiv-125	125	16	.	.	PUNCT
ispiv-125	126	1	when	when	SCONJ
ispiv-125	126	2	looking	look	VERB
ispiv-125	126	3	at	at	ADP
ispiv-125	126	4	the	the	DET
ispiv-125	126	5	distribution	distribution	NOUN
ispiv-125	126	6	of	of	ADP
ispiv-125	126	7	the	the	DET
ispiv-125	126	8	applied	apply	VERB
ispiv-125	126	9	filter	filter	NOUN
ispiv-125	126	10	sizes	size	NOUN
ispiv-125	126	11	during	during	ADP
ispiv-125	126	12	the	the	DET
ispiv-125	126	13	adaptive	adaptive	ADJ
ispiv-125	126	14	track	track	NOUN
ispiv-125	126	15	filter	filter	NOUN
ispiv-125	126	16	method	method	NOUN
ispiv-125	126	17	,	,	PUNCT
ispiv-125	126	18	the	the	DET
ispiv-125	126	19	peak	peak	NOUN
ispiv-125	126	20	of	of	ADP
ispiv-125	126	21	the	the	DET
ispiv-125	126	22	distribution	distribution	NOUN
ispiv-125	126	23	is	be	AUX
ispiv-125	126	24	between	between	ADP
ispiv-125	126	25	10	10	NUM
ispiv-125	126	26	and	and	CCONJ
ispiv-125	126	27	12.5	12.5	NUM
ispiv-125	126	28	time	time	NOUN
ispiv-125	126	29	steps	step	NOUN
ispiv-125	126	30	.	.	PUNCT
ispiv-125	127	1	but	but	CCONJ
ispiv-125	127	2	a	a	DET
ispiv-125	127	3	few	few	ADJ
ispiv-125	127	4	trajectories	trajectory	NOUN
ispiv-125	127	5	could	could	AUX
ispiv-125	127	6	also	also	ADV
ispiv-125	127	7	be	be	AUX
ispiv-125	127	8	fitted	fit	VERB
ispiv-125	127	9	with	with	ADP
ispiv-125	127	10	filter	filter	NOUN
ispiv-125	127	11	sizes	size	NOUN
ispiv-125	127	12	>	>	SYM
ispiv-125	127	13	30	30	NUM
ispiv-125	127	14	time	time	NOUN
ispiv-125	127	15	steps	step	NOUN
ispiv-125	127	16	.	.	PUNCT
ispiv-125	128	1	in	in	ADP
ispiv-125	128	2	the	the	DET
ispiv-125	128	3	following	follow	VERB
ispiv-125	128	4	fig	fig	NOUN
ispiv-125	128	5	.	.	PUNCT
ispiv-125	129	1	6	6	NUM
ispiv-125	129	2	,	,	PUNCT
ispiv-125	129	3	the	the	DET
ispiv-125	129	4	goodness	goodness	NOUN
ispiv-125	129	5	of	of	ADP
ispiv-125	129	6	the	the	DET
ispiv-125	129	7	polynomial	polynomial	ADJ
ispiv-125	129	8	fit	fit	ADJ
ispiv-125	129	9	r2	r2	NOUN
ispiv-125	129	10	,	,	PUNCT
ispiv-125	129	11	as	as	ADV
ispiv-125	129	12	defined	define	VERB
ispiv-125	129	13	as	as	ADP
ispiv-125	129	14	(	(	PUNCT
ispiv-125	129	15	a	a	NOUN
ispiv-125	129	16	)	)	PUNCT
ispiv-125	129	17	(	(	PUNCT
ispiv-125	129	18	b	b	NOUN
ispiv-125	129	19	)	)	PUNCT
ispiv-125	129	20	filter	filter	NOUN
ispiv-125	129	21	length	length	NOUN
ispiv-125	129	22	ntrajectory	ntrajectory	NOUN
ispiv-125	129	23	length	length	NOUN
ispiv-125	129	24	n	n	PROPN
ispiv-125	129	25	nu	nu	INTJ
ispiv-125	129	26	m	m	VERB
ispiv-125	129	27	be	be	VERB
ispiv-125	129	28	r	r	NOUN
ispiv-125	129	29	of	of	ADP
ispiv-125	129	30	e	e	NOUN
ispiv-125	129	31	nt	not	PART
ispiv-125	129	32	rie	rie	PROPN
ispiv-125	129	33	s	s	PART
ispiv-125	129	34	nu	nu	INTJ
ispiv-125	129	35	m	m	VERB
ispiv-125	129	36	be	be	NOUN
ispiv-125	129	37	r	r	NOUN
ispiv-125	129	38	of	of	ADP
ispiv-125	129	39	e	e	NOUN
ispiv-125	129	40	nt	not	PART
ispiv-125	129	41	rie	rie	PROPN
ispiv-125	129	42	s	s	PART
ispiv-125	129	43	figure	figure	NOUN
ispiv-125	129	44	5	5	NUM
ispiv-125	129	45	:	:	PUNCT
ispiv-125	129	46	comparison	comparison	NOUN
ispiv-125	129	47	between	between	ADP
ispiv-125	129	48	(	(	PUNCT
ispiv-125	129	49	a	a	X
ispiv-125	129	50	)	)	PUNCT
ispiv-125	129	51	the	the	DET
ispiv-125	129	52	distribution	distribution	NOUN
ispiv-125	129	53	of	of	ADP
ispiv-125	129	54	the	the	DET
ispiv-125	129	55	reconstructed	reconstructed	ADJ
ispiv-125	129	56	trajectory	trajectory	NOUN
ispiv-125	129	57	lenghts	lenght	NOUN
ispiv-125	129	58	and	and	CCONJ
ispiv-125	129	59	(	(	PUNCT
ispiv-125	129	60	b	b	X
ispiv-125	129	61	)	)	PUNCT
ispiv-125	129	62	the	the	DET
ispiv-125	129	63	automatically	automatically	ADV
ispiv-125	129	64	determined	determine	VERB
ispiv-125	129	65	optimal	optimal	ADJ
ispiv-125	129	66	polynomial	polynomial	ADJ
ispiv-125	129	67	filter	filter	NOUN
ispiv-125	129	68	length	length	NOUN
ispiv-125	129	69	size	size	NOUN
ispiv-125	129	70	for	for	ADP
ispiv-125	129	71	a	a	DET
ispiv-125	129	72	2nd	2nd	ADJ
ispiv-125	129	73	order	order	NOUN
ispiv-125	129	74	polynomial	polynomial	ADJ
ispiv-125	129	75	(	(	PUNCT
ispiv-125	129	76	a	a	NOUN
ispiv-125	129	77	)	)	PUNCT
ispiv-125	129	78	(	(	PUNCT
ispiv-125	129	79	b	b	NOUN
ispiv-125	129	80	)	)	PUNCT
ispiv-125	129	81	filter	filter	NOUN
ispiv-125	129	82	length	length	NOUN
ispiv-125	129	83	nfilter	nfilter	PROPN
ispiv-125	129	84	length	length	NOUN
ispiv-125	129	85	n	n	PRON
ispiv-125	129	86	figure	figure	VERB
ispiv-125	129	87	6	6	NUM
ispiv-125	129	88	:	:	PUNCT
ispiv-125	129	89	assesment	assesment	NOUN
ispiv-125	129	90	of	of	ADP
ispiv-125	129	91	the	the	DET
ispiv-125	129	92	goodness	goodness	NOUN
ispiv-125	129	93	of	of	ADP
ispiv-125	129	94	the	the	DET
ispiv-125	129	95	fit	fit	ADJ
ispiv-125	129	96	r2	r2	NOUN
ispiv-125	129	97	for	for	ADP
ispiv-125	129	98	different	different	ADJ
ispiv-125	129	99	constant	constant	ADJ
ispiv-125	129	100	filter	filter	NOUN
ispiv-125	129	101	sizes	size	NOUN
ispiv-125	129	102	and	and	CCONJ
ispiv-125	129	103	the	the	DET
ispiv-125	129	104	adaptive	adaptive	ADJ
ispiv-125	129	105	track	track	NOUN
ispiv-125	129	106	filter	filter	NOUN
ispiv-125	129	107	by	by	ADP
ispiv-125	129	108	using	use	VERB
ispiv-125	129	109	(	(	PUNCT
ispiv-125	129	110	a	a	PRON
ispiv-125	129	111	)	)	PUNCT
ispiv-125	129	112	2nd	2nd	ADJ
ispiv-125	129	113	order	order	NOUN
ispiv-125	129	114	polynomials	polynomial	NOUN
ispiv-125	129	115	or	or	CCONJ
ispiv-125	129	116	(	(	PUNCT
ispiv-125	129	117	a	a	PRON
ispiv-125	129	118	)	)	PUNCT
ispiv-125	129	119	3nd	3nd	ADJ
ispiv-125	129	120	order	order	NOUN
ispiv-125	129	121	polynomials	polynomial	NOUN
ispiv-125	129	122	.	.	PUNCT
ispiv-125	130	1	r2	r2	PROPN
ispiv-125	130	2	=	=	SYM
ispiv-125	131	1	1−	1−	NUM
ispiv-125	131	2	n	n	CCONJ
ispiv-125	131	3	∑	∑	PROPN
ispiv-125	131	4	i=1	i=1	PROPN
ispiv-125	131	5	(	(	PUNCT
ispiv-125	131	6	yi−	yi−	PROPN
ispiv-125	131	7	ŷi	ŷi	NUM
ispiv-125	131	8	)	)	PUNCT
ispiv-125	131	9	2	2	NUM
ispiv-125	131	10	n	n	PROPN
ispiv-125	131	11	∑	∑	ADV
ispiv-125	131	12	i=1	i=1	PROPN
ispiv-125	131	13	(	(	PUNCT
ispiv-125	131	14	yi−	yi−	NUM
ispiv-125	131	15	y)2	y)2	NOUN
ispiv-125	131	16	,	,	PUNCT
ispiv-125	131	17	(	(	PUNCT
ispiv-125	131	18	15	15	NUM
ispiv-125	131	19	)	)	PUNCT
ispiv-125	131	20	is	be	AUX
ispiv-125	131	21	compared	compare	VERB
ispiv-125	131	22	for	for	ADP
ispiv-125	131	23	the	the	DET
ispiv-125	131	24	considered	consider	VERB
ispiv-125	131	25	set	set	NOUN
ispiv-125	131	26	of	of	ADP
ispiv-125	131	27	trajectories	trajectory	NOUN
ispiv-125	131	28	between	between	ADP
ispiv-125	131	29	polynomial	polynomial	ADJ
ispiv-125	131	30	fits	fit	NOUN
ispiv-125	131	31	of	of	ADP
ispiv-125	131	32	constant	constant	ADJ
ispiv-125	131	33	filter	filter	NOUN
ispiv-125	131	34	lengths	length	NOUN
ispiv-125	131	35	(	(	PUNCT
ispiv-125	131	36	n	n	NOUN
ispiv-125	131	37	=	=	SYM
ispiv-125	131	38	5	5	NUM
ispiv-125	131	39	,	,	PUNCT
ispiv-125	131	40	7	7	NUM
ispiv-125	131	41	,	,	PUNCT
ispiv-125	131	42	9	9	NUM
ispiv-125	131	43	,	,	PUNCT
ispiv-125	131	44	11	11	NUM
ispiv-125	131	45	,	,	PUNCT
ispiv-125	131	46	21	21	NUM
ispiv-125	131	47	and	and	CCONJ
ispiv-125	131	48	31	31	NUM
ispiv-125	131	49	)	)	PUNCT
ispiv-125	131	50	and	and	CCONJ
ispiv-125	131	51	the	the	DET
ispiv-125	131	52	adaptive	adaptive	ADJ
ispiv-125	131	53	track	track	NOUN
ispiv-125	131	54	filter	filter	NOUN
ispiv-125	131	55	and	and	CCONJ
ispiv-125	131	56	for	for	ADP
ispiv-125	131	57	the	the	DET
ispiv-125	131	58	polynomial	polynomial	ADJ
ispiv-125	131	59	degrees	degree	NOUN
ispiv-125	131	60	of	of	ADP
ispiv-125	131	61	2	2	NUM
ispiv-125	131	62	(	(	PUNCT
ispiv-125	131	63	a	a	NOUN
ispiv-125	131	64	)	)	PUNCT
ispiv-125	131	65	and	and	CCONJ
ispiv-125	131	66	3	3	NUM
ispiv-125	131	67	(	(	PUNCT
ispiv-125	131	68	b	b	NOUN
ispiv-125	131	69	)	)	PUNCT
ispiv-125	131	70	.	.	PUNCT
ispiv-125	132	1	at	at	ADP
ispiv-125	132	2	this	this	DET
ispiv-125	132	3	point	point	NOUN
ispiv-125	132	4	,	,	PUNCT
ispiv-125	132	5	it	it	PRON
ispiv-125	132	6	has	have	VERB
ispiv-125	132	7	to	to	PART
ispiv-125	132	8	be	be	AUX
ispiv-125	132	9	noted	note	VERB
ispiv-125	132	10	,	,	PUNCT
ispiv-125	132	11	that	that	SCONJ
ispiv-125	132	12	when	when	SCONJ
ispiv-125	132	13	a	a	DET
ispiv-125	132	14	constant	constant	ADJ
ispiv-125	132	15	filter	filter	NOUN
ispiv-125	132	16	size	size	NOUN
ispiv-125	132	17	is	be	AUX
ispiv-125	132	18	chosen	choose	VERB
ispiv-125	132	19	but	but	CCONJ
ispiv-125	132	20	the	the	DET
ispiv-125	132	21	observed	observed	ADJ
ispiv-125	132	22	trajectory	trajectory	NOUN
ispiv-125	132	23	is	be	AUX
ispiv-125	132	24	smaller	small	ADJ
ispiv-125	132	25	than	than	ADP
ispiv-125	132	26	this	this	DET
ispiv-125	132	27	value	value	NOUN
ispiv-125	132	28	,	,	PUNCT
ispiv-125	132	29	the	the	DET
ispiv-125	132	30	total	total	ADJ
ispiv-125	132	31	available	available	ADJ
ispiv-125	132	32	length	length	NOUN
ispiv-125	132	33	of	of	ADP
ispiv-125	132	34	the	the	DET
ispiv-125	132	35	trajectory	trajectory	NOUN
ispiv-125	132	36	is	be	AUX
ispiv-125	132	37	set	set	VERB
ispiv-125	132	38	as	as	ADP
ispiv-125	132	39	the	the	DET
ispiv-125	132	40	filter	filter	NOUN
ispiv-125	132	41	size	size	NOUN
ispiv-125	132	42	.	.	PUNCT
ispiv-125	133	1	for	for	ADP
ispiv-125	133	2	all	all	DET
ispiv-125	133	3	cases	case	NOUN
ispiv-125	133	4	,	,	PUNCT
ispiv-125	133	5	the	the	DET
ispiv-125	133	6	r2	r2	PROPN
ispiv-125	133	7	value	value	NOUN
ispiv-125	133	8	is	be	AUX
ispiv-125	133	9	well	well	ADV
ispiv-125	133	10	above	above	ADP
ispiv-125	133	11	0.9	0.9	NUM
ispiv-125	133	12	,	,	PUNCT
ispiv-125	133	13	indicating	indicate	VERB
ispiv-125	133	14	a	a	DET
ispiv-125	133	15	reasonable	reasonable	ADJ
ispiv-125	133	16	good	good	ADJ
ispiv-125	133	17	performance	performance	NOUN
ispiv-125	133	18	of	of	ADP
ispiv-125	133	19	the	the	DET
ispiv-125	133	20	polynomial	polynomial	ADJ
ispiv-125	133	21	model	model	NOUN
ispiv-125	133	22	.	.	PUNCT
ispiv-125	134	1	for	for	ADP
ispiv-125	134	2	the	the	DET
ispiv-125	134	3	fit	fit	NOUN
ispiv-125	134	4	with	with	ADP
ispiv-125	134	5	a	a	DET
ispiv-125	134	6	2nd	2nd	ADJ
ispiv-125	134	7	order	order	NOUN
ispiv-125	134	8	polynomial	polynomial	ADJ
ispiv-125	134	9	,	,	PUNCT
ispiv-125	134	10	the	the	DET
ispiv-125	134	11	adaptive	adaptive	ADJ
ispiv-125	134	12	track	track	NOUN
ispiv-125	134	13	filter	filter	NOUN
ispiv-125	134	14	exhibits	exhibit	VERB
ispiv-125	134	15	the	the	DET
ispiv-125	134	16	highest	high	ADJ
ispiv-125	134	17	r2	r2	NOUN
ispiv-125	134	18	.	.	PUNCT
ispiv-125	135	1	when	when	SCONJ
ispiv-125	135	2	increasing	increase	VERB
ispiv-125	135	3	the	the	DET
ispiv-125	135	4	polynomial	polynomial	ADJ
ispiv-125	135	5	order	order	NOUN
ispiv-125	135	6	to	to	ADP
ispiv-125	135	7	3	3	NUM
ispiv-125	135	8	,	,	PUNCT
ispiv-125	135	9	the	the	DET
ispiv-125	135	10	adaptive	adaptive	ADJ
ispiv-125	135	11	track	track	NOUN
ispiv-125	135	12	filter	filter	NOUN
ispiv-125	135	13	is	be	AUX
ispiv-125	135	14	showing	show	VERB
ispiv-125	135	15	the	the	DET
ispiv-125	135	16	second	second	ADJ
ispiv-125	135	17	best	good	ADJ
ispiv-125	135	18	goodness	goodness	NOUN
ispiv-125	135	19	of	of	ADP
ispiv-125	135	20	the	the	DET
ispiv-125	135	21	fit	fit	NOUN
ispiv-125	135	22	.	.	PUNCT
ispiv-125	136	1	as	as	ADP
ispiv-125	136	2	a	a	DET
ispiv-125	136	3	further	further	ADJ
ispiv-125	136	4	result	result	NOUN
ispiv-125	136	5	,	,	PUNCT
ispiv-125	136	6	an	an	DET
ispiv-125	136	7	assessment	assessment	NOUN
ispiv-125	136	8	of	of	ADP
ispiv-125	136	9	the	the	DET
ispiv-125	136	10	estimated	estimate	VERB
ispiv-125	136	11	uncertainty	uncertainty	NOUN
ispiv-125	136	12	in	in	ADP
ispiv-125	136	13	the	the	DET
ispiv-125	136	14	velocity	velocity	NOUN
ispiv-125	136	15	magnitude	magnitude	NOUN
ispiv-125	136	16	is	be	AUX
ispiv-125	136	17	presented	present	VERB
ispiv-125	136	18	in	in	ADP
ispiv-125	136	19	fig	fig	NOUN
ispiv-125	136	20	.	.	PUNCT
ispiv-125	137	1	7	7	NUM
ispiv-125	137	2	(	(	PUNCT
ispiv-125	137	3	a	a	NOUN
ispiv-125	137	4	)	)	PUNCT
ispiv-125	137	5	and	and	CCONJ
ispiv-125	137	6	(	(	PUNCT
ispiv-125	137	7	b	b	NOUN
ispiv-125	137	8	)	)	PUNCT
ispiv-125	138	1	in	in	ADP
ispiv-125	138	2	the	the	DET
ispiv-125	138	3	same	same	ADJ
ispiv-125	138	4	manner	manner	NOUN
ispiv-125	138	5	as	as	ADP
ispiv-125	138	6	in	in	ADP
ispiv-125	138	7	the	the	DET
ispiv-125	138	8	previous	previous	ADJ
ispiv-125	138	9	figure	figure	NOUN
ispiv-125	138	10	.	.	PUNCT
ispiv-125	139	1	here	here	ADV
ispiv-125	139	2	,	,	PUNCT
ispiv-125	139	3	a	a	DET
ispiv-125	139	4	clear	clear	ADJ
ispiv-125	139	5	trend	trend	NOUN
ispiv-125	139	6	towards	towards	ADP
ispiv-125	139	7	lower	low	ADJ
ispiv-125	139	8	mean	mean	ADJ
ispiv-125	139	9	uncertainties	uncertainty	NOUN
ispiv-125	139	10	with	with	ADP
ispiv-125	139	11	higher	high	ADJ
ispiv-125	139	12	filter	filter	NOUN
ispiv-125	139	13	sizes	size	NOUN
ispiv-125	139	14	are	be	AUX
ispiv-125	139	15	observable	observable	ADJ
ispiv-125	139	16	for	for	ADP
ispiv-125	139	17	both	both	PRON
ispiv-125	139	18	considered	consider	VERB
ispiv-125	139	19	polynomial	polynomial	ADJ
ispiv-125	139	20	orders	order	NOUN
ispiv-125	139	21	.	.	PUNCT
ispiv-125	140	1	but	but	CCONJ
ispiv-125	140	2	the	the	DET
ispiv-125	140	3	overall	overall	ADJ
ispiv-125	140	4	uncertainty	uncertainty	NOUN
ispiv-125	140	5	level	level	NOUN
ispiv-125	140	6	is	be	AUX
ispiv-125	140	7	around	around	ADV
ispiv-125	140	8	two	two	NUM
ispiv-125	140	9	to	to	PART
ispiv-125	140	10	three	three	NUM
ispiv-125	140	11	times	time	NOUN
ispiv-125	140	12	higher	high	ADJ
ispiv-125	140	13	for	for	ADP
ispiv-125	140	14	the	the	DET
ispiv-125	140	15	3nd	3nd	ADJ
ispiv-125	140	16	order	order	NOUN
ispiv-125	140	17	polynomial	polynomial	ADJ
ispiv-125	140	18	.	.	PUNCT
ispiv-125	141	1	in	in	ADP
ispiv-125	141	2	comparison	comparison	NOUN
ispiv-125	141	3	with	with	ADP
ispiv-125	141	4	the	the	DET
ispiv-125	141	5	polynomial	polynomial	ADJ
ispiv-125	141	6	fits	fit	NOUN
ispiv-125	141	7	of	of	ADP
ispiv-125	141	8	constant	constant	ADJ
ispiv-125	141	9	length	length	NOUN
ispiv-125	141	10	,	,	PUNCT
ispiv-125	141	11	the	the	DET
ispiv-125	141	12	adaptive	adaptive	ADJ
ispiv-125	141	13	track	track	NOUN
ispiv-125	141	14	filter	filter	NOUN
ispiv-125	141	15	exhibits	exhibit	VERB
ispiv-125	141	16	similar	similar	ADJ
ispiv-125	141	17	values	value	NOUN
ispiv-125	141	18	as	as	ADP
ispiv-125	141	19	the	the	DET
ispiv-125	141	20	largest	large	ADJ
ispiv-125	141	21	constant	constant	ADJ
ispiv-125	141	22	(	(	PUNCT
ispiv-125	141	23	a	a	NOUN
ispiv-125	141	24	)	)	PUNCT
ispiv-125	141	25	(	(	PUNCT
ispiv-125	141	26	b	b	X
ispiv-125	141	27	)	)	PUNCT
ispiv-125	141	28	(	(	PUNCT
ispiv-125	141	29	c	c	X
ispiv-125	141	30	)	)	PUNCT
ispiv-125	141	31	(	(	PUNCT
ispiv-125	141	32	d	d	X
ispiv-125	141	33	)	)	PUNCT
ispiv-125	141	34	filter	filter	NOUN
ispiv-125	141	35	length	length	NOUN
ispiv-125	141	36	nfilter	nfilter	PROPN
ispiv-125	141	37	length	length	NOUN
ispiv-125	141	38	n	n	DET
ispiv-125	141	39	filter	filter	NOUN
ispiv-125	141	40	length	length	NOUN
ispiv-125	141	41	n	n	PRON
ispiv-125	141	42	filter	filter	NOUN
ispiv-125	141	43	length	length	NOUN
ispiv-125	141	44	n	n	PRON
ispiv-125	141	45	figure	figure	VERB
ispiv-125	141	46	7	7	NUM
ispiv-125	141	47	:	:	PUNCT
ispiv-125	141	48	assesment	assesment	NOUN
ispiv-125	141	49	of	of	ADP
ispiv-125	141	50	the	the	DET
ispiv-125	141	51	mean	mean	ADJ
ispiv-125	141	52	uncertainty	uncertainty	NOUN
ispiv-125	141	53	of	of	ADP
ispiv-125	141	54	the	the	DET
ispiv-125	141	55	velocity	velocity	NOUN
ispiv-125	141	56	magnitude	magnitude	NOUN
ispiv-125	141	57	for	for	ADP
ispiv-125	141	58	different	different	ADJ
ispiv-125	141	59	constant	constant	ADJ
ispiv-125	141	60	filter	filter	NOUN
ispiv-125	141	61	sizes	size	NOUN
ispiv-125	141	62	and	and	CCONJ
ispiv-125	141	63	the	the	DET
ispiv-125	141	64	adaptive	adaptive	ADJ
ispiv-125	141	65	track	track	NOUN
ispiv-125	141	66	filter	filter	NOUN
ispiv-125	141	67	(	(	PUNCT
ispiv-125	141	68	(	(	PUNCT
ispiv-125	141	69	a	a	NOUN
ispiv-125	141	70	)	)	PUNCT
ispiv-125	141	71	and	and	CCONJ
ispiv-125	141	72	(	(	PUNCT
ispiv-125	141	73	b	b	NOUN
ispiv-125	141	74	)	)	PUNCT
ispiv-125	141	75	)	)	PUNCT
ispiv-125	141	76	and	and	CCONJ
ispiv-125	141	77	the	the	DET
ispiv-125	141	78	underlying	underlie	VERB
ispiv-125	141	79	uncertainty	uncertainty	NOUN
ispiv-125	141	80	distributions	distribution	NOUN
ispiv-125	141	81	(	(	PUNCT
ispiv-125	141	82	(	(	PUNCT
ispiv-125	141	83	c	c	NOUN
ispiv-125	141	84	)	)	PUNCT
ispiv-125	141	85	and	and	CCONJ
ispiv-125	141	86	(	(	PUNCT
ispiv-125	141	87	d	d	NOUN
ispiv-125	141	88	)	)	PUNCT
ispiv-125	141	89	)	)	PUNCT
ispiv-125	141	90	by	by	ADP
ispiv-125	141	91	using	use	VERB
ispiv-125	141	92	2nd	2nd	ADJ
ispiv-125	141	93	order	order	NOUN
ispiv-125	141	94	polynomials	polynomial	NOUN
ispiv-125	141	95	(	(	PUNCT
ispiv-125	141	96	(	(	PUNCT
ispiv-125	141	97	a	a	NOUN
ispiv-125	141	98	)	)	PUNCT
ispiv-125	141	99	and	and	CCONJ
ispiv-125	141	100	(	(	PUNCT
ispiv-125	141	101	c	c	NOUN
ispiv-125	141	102	)	)	PUNCT
ispiv-125	141	103	)	)	PUNCT
ispiv-125	141	104	or	or	CCONJ
ispiv-125	141	105	3nd	3nd	ADJ
ispiv-125	141	106	order	order	NOUN
ispiv-125	141	107	polynomials	polynomial	NOUN
ispiv-125	141	108	(	(	PUNCT
ispiv-125	141	109	(	(	PUNCT
ispiv-125	141	110	b	b	NOUN
ispiv-125	141	111	)	)	PUNCT
ispiv-125	141	112	and	and	CCONJ
ispiv-125	141	113	(	(	PUNCT
ispiv-125	141	114	d	d	NOUN
ispiv-125	141	115	)	)	PUNCT
ispiv-125	141	116	)	)	PUNCT
ispiv-125	141	117	.	.	PUNCT
ispiv-125	142	1	filter	filter	NOUN
ispiv-125	142	2	length	length	NOUN
ispiv-125	142	3	n	n	PROPN
ispiv-125	142	4	=	=	NUM
ispiv-125	142	5	11	11	NUM
ispiv-125	142	6	,	,	PUNCT
ispiv-125	142	7	21	21	NUM
ispiv-125	142	8	and	and	CCONJ
ispiv-125	142	9	31	31	NUM
ispiv-125	142	10	.	.	PUNCT
ispiv-125	143	1	a	a	DET
ispiv-125	143	2	more	more	ADV
ispiv-125	143	3	detailed	detailed	ADJ
ispiv-125	143	4	look	look	NOUN
ispiv-125	143	5	on	on	ADP
ispiv-125	143	6	the	the	DET
ispiv-125	143	7	estimated	estimate	VERB
ispiv-125	143	8	uncertainties	uncertainty	NOUN
ispiv-125	143	9	is	be	AUX
ispiv-125	143	10	given	give	VERB
ispiv-125	143	11	in	in	ADP
ispiv-125	143	12	fig	fig	NOUN
ispiv-125	143	13	.	.	PUNCT
ispiv-125	144	1	7	7	NUM
ispiv-125	144	2	(	(	PUNCT
ispiv-125	144	3	c	c	NOUN
ispiv-125	144	4	)	)	PUNCT
ispiv-125	144	5	and	and	CCONJ
ispiv-125	144	6	(	(	PUNCT
ispiv-125	144	7	d	d	NOUN
ispiv-125	144	8	)	)	PUNCT
ispiv-125	144	9	,	,	PUNCT
ispiv-125	144	10	where	where	SCONJ
ispiv-125	144	11	the	the	DET
ispiv-125	144	12	velocity	velocity	NOUN
ispiv-125	144	13	uncertainty	uncertainty	NOUN
ispiv-125	144	14	distribution	distribution	NOUN
ispiv-125	144	15	is	be	AUX
ispiv-125	144	16	plotted	plot	VERB
ispiv-125	144	17	for	for	ADP
ispiv-125	144	18	the	the	DET
ispiv-125	144	19	adaptive	adaptive	ADJ
ispiv-125	144	20	track	track	NOUN
ispiv-125	144	21	filter	filter	NOUN
ispiv-125	144	22	against	against	ADP
ispiv-125	144	23	three	three	NUM
ispiv-125	144	24	polynomials	polynomial	NOUN
ispiv-125	144	25	of	of	ADP
ispiv-125	144	26	constant	constant	ADJ
ispiv-125	144	27	sizes	size	NOUN
ispiv-125	144	28	(	(	PUNCT
ispiv-125	144	29	n	n	NOUN
ispiv-125	144	30	=	=	SYM
ispiv-125	144	31	5	5	NUM
ispiv-125	144	32	,	,	PUNCT
ispiv-125	144	33	11	11	NUM
ispiv-125	144	34	and	and	CCONJ
ispiv-125	144	35	31	31	NUM
ispiv-125	144	36	)	)	PUNCT
ispiv-125	144	37	.	.	PUNCT
ispiv-125	145	1	it	it	PRON
ispiv-125	145	2	stands	stand	VERB
ispiv-125	145	3	out	out	ADP
ispiv-125	145	4	,	,	PUNCT
ispiv-125	145	5	that	that	SCONJ
ispiv-125	145	6	the	the	DET
ispiv-125	145	7	width	width	NOUN
ispiv-125	145	8	of	of	ADP
ispiv-125	145	9	the	the	DET
ispiv-125	145	10	uncertainty	uncertainty	NOUN
ispiv-125	145	11	distribution	distribution	NOUN
ispiv-125	145	12	is	be	AUX
ispiv-125	145	13	strongly	strongly	ADV
ispiv-125	145	14	depended	depend	VERB
ispiv-125	145	15	on	on	ADP
ispiv-125	145	16	the	the	DET
ispiv-125	145	17	filter	filter	NOUN
ispiv-125	145	18	size	size	NOUN
ispiv-125	145	19	with	with	ADP
ispiv-125	145	20	narrower	narrow	ADJ
ispiv-125	145	21	peaks	peak	NOUN
ispiv-125	145	22	for	for	ADP
ispiv-125	145	23	wider	wide	ADJ
ispiv-125	145	24	filter	filter	NOUN
ispiv-125	145	25	windows	window	NOUN
ispiv-125	145	26	.	.	PUNCT
ispiv-125	146	1	for	for	ADP
ispiv-125	146	2	both	both	DET
ispiv-125	146	3	considered	consider	VERB
ispiv-125	146	4	polynomial	polynomial	ADJ
ispiv-125	146	5	degrees	degree	NOUN
ispiv-125	146	6	(	(	PUNCT
ispiv-125	146	7	(	(	PUNCT
ispiv-125	146	8	a	a	NOUN
ispiv-125	146	9	):	):	PUNCT
ispiv-125	146	10	2nd	2nd	ADJ
ispiv-125	146	11	order	order	NOUN
ispiv-125	146	12	,	,	PUNCT
ispiv-125	146	13	(	(	PUNCT
ispiv-125	146	14	b	b	NOUN
ispiv-125	146	15	):	):	PUNCT
ispiv-125	146	16	3nd	3nd	ADJ
ispiv-125	146	17	order	order	NOUN
ispiv-125	146	18	)	)	PUNCT
ispiv-125	146	19	the	the	DET
ispiv-125	146	20	adaptive	adaptive	ADJ
ispiv-125	146	21	track	track	NOUN
ispiv-125	146	22	filter	filter	NOUN
ispiv-125	146	23	estimates	estimate	VERB
ispiv-125	146	24	the	the	DET
ispiv-125	146	25	uncertainties	uncertainty	NOUN
ispiv-125	146	26	nearly	nearly	ADV
ispiv-125	146	27	identical	identical	ADJ
ispiv-125	146	28	as	as	ADP
ispiv-125	146	29	the	the	DET
ispiv-125	146	30	highest	high	ADJ
ispiv-125	146	31	considered	consider	VERB
ispiv-125	146	32	constant	constant	ADJ
ispiv-125	146	33	filter	filter	NOUN
ispiv-125	146	34	length	length	NOUN
ispiv-125	146	35	n	n	NOUN
ispiv-125	146	36	=	=	NUM
ispiv-125	146	37	31	31	NUM
ispiv-125	146	38	.	.	PUNCT
ispiv-125	146	39	4	4	NUM
ispiv-125	146	40	conclusions	conclusion	NOUN
ispiv-125	146	41	within	within	ADP
ispiv-125	146	42	this	this	DET
ispiv-125	146	43	work	work	NOUN
ispiv-125	146	44	,	,	PUNCT
ispiv-125	146	45	we	we	PRON
ispiv-125	146	46	proposed	propose	VERB
ispiv-125	146	47	an	an	DET
ispiv-125	146	48	uncertainty	uncertainty	NOUN
ispiv-125	146	49	quantification	quantification	NOUN
ispiv-125	146	50	method	method	NOUN
ispiv-125	146	51	to	to	PART
ispiv-125	146	52	determine	determine	VERB
ispiv-125	146	53	position	position	NOUN
ispiv-125	146	54	,	,	PUNCT
ispiv-125	146	55	velocity	velocity	NOUN
ispiv-125	146	56	and	and	CCONJ
ispiv-125	146	57	acceleration	acceleration	NOUN
ispiv-125	146	58	uncertainties	uncertainty	NOUN
ispiv-125	146	59	during	during	ADP
ispiv-125	146	60	the	the	DET
ispiv-125	146	61	trajectory	trajectory	NOUN
ispiv-125	146	62	filter	filter	NOUN
ispiv-125	146	63	procedure	procedure	NOUN
ispiv-125	146	64	.	.	PUNCT
ispiv-125	147	1	the	the	DET
ispiv-125	147	2	proposed	propose	VERB
ispiv-125	147	3	approach	approach	NOUN
ispiv-125	147	4	is	be	AUX
ispiv-125	147	5	applicable	applicable	ADJ
ispiv-125	147	6	for	for	ADP
ispiv-125	147	7	polynomial	polynomial	ADJ
ispiv-125	147	8	filters	filter	NOUN
ispiv-125	147	9	of	of	ADP
ispiv-125	147	10	arbitrary	arbitrary	ADJ
ispiv-125	147	11	lengths	length	NOUN
ispiv-125	147	12	and	and	CCONJ
ispiv-125	147	13	orders	order	NOUN
ispiv-125	147	14	.	.	PUNCT
ispiv-125	148	1	by	by	ADP
ispiv-125	148	2	performing	perform	VERB
ispiv-125	148	3	numerical	numerical	ADJ
ispiv-125	148	4	experiments	experiment	NOUN
ispiv-125	148	5	,	,	PUNCT
ispiv-125	148	6	it	it	PRON
ispiv-125	148	7	could	could	AUX
ispiv-125	148	8	be	be	AUX
ispiv-125	148	9	shown	show	VERB
ispiv-125	148	10	,	,	PUNCT
ispiv-125	148	11	that	that	SCONJ
ispiv-125	148	12	the	the	DET
ispiv-125	148	13	determined	determined	ADJ
ispiv-125	148	14	uncertainties	uncertainty	NOUN
ispiv-125	148	15	are	be	AUX
ispiv-125	148	16	within	within	ADP
ispiv-125	148	17	1	1	NUM
ispiv-125	148	18	%	%	NOUN
ispiv-125	148	19	errors	error	NOUN
ispiv-125	148	20	of	of	ADP
ispiv-125	148	21	the	the	DET
ispiv-125	148	22	modeled	model	VERB
ispiv-125	148	23	noise	noise	NOUN
ispiv-125	148	24	for	for	ADP
ispiv-125	148	25	filter	filter	NOUN
ispiv-125	148	26	lengths	length	NOUN
ispiv-125	148	27	>	>	X
ispiv-125	148	28	21	21	NUM
ispiv-125	148	29	.	.	PUNCT
ispiv-125	149	1	for	for	ADP
ispiv-125	149	2	a	a	DET
ispiv-125	149	3	minimum	minimum	ADJ
ispiv-125	149	4	filter	filter	NOUN
ispiv-125	149	5	length	length	NOUN
ispiv-125	149	6	of	of	ADP
ispiv-125	149	7	5	5	NUM
ispiv-125	149	8	,	,	PUNCT
ispiv-125	149	9	the	the	DET
ispiv-125	149	10	uncertainties	uncertainty	NOUN
ispiv-125	149	11	are	be	AUX
ispiv-125	149	12	overestimated	overestimate	VERB
ispiv-125	149	13	by	by	ADP
ispiv-125	149	14	around	around	ADP
ispiv-125	149	15	10	10	NUM
ispiv-125	149	16	%	%	NOUN
ispiv-125	149	17	.	.	PUNCT
ispiv-125	150	1	as	as	ADV
ispiv-125	150	2	long	long	ADV
ispiv-125	150	3	as	as	SCONJ
ispiv-125	150	4	the	the	DET
ispiv-125	150	5	measurement	measurement	NOUN
ispiv-125	150	6	noise	noise	NOUN
ispiv-125	150	7	does	do	AUX
ispiv-125	150	8	only	only	ADV
ispiv-125	150	9	exhibit	exhibit	VERB
ispiv-125	150	10	random	random	ADJ
ispiv-125	150	11	components	component	NOUN
ispiv-125	150	12	,	,	PUNCT
ispiv-125	150	13	the	the	DET
ispiv-125	150	14	proposed	propose	VERB
ispiv-125	150	15	method	method	NOUN
ispiv-125	150	16	is	be	AUX
ispiv-125	150	17	not	not	PART
ispiv-125	150	18	effected	effect	VERB
ispiv-125	150	19	by	by	ADP
ispiv-125	150	20	the	the	DET
ispiv-125	150	21	magnitude	magnitude	NOUN
ispiv-125	150	22	of	of	ADP
ispiv-125	150	23	the	the	DET
ispiv-125	150	24	noise	noise	NOUN
ispiv-125	150	25	level	level	NOUN
ispiv-125	150	26	as	as	ADV
ispiv-125	150	27	long	long	ADV
ispiv-125	150	28	as	as	SCONJ
ispiv-125	150	29	the	the	DET
ispiv-125	150	30	polynomial	polynomial	NOUN
ispiv-125	150	31	is	be	AUX
ispiv-125	150	32	suitable	suitable	ADJ
ispiv-125	150	33	for	for	ADP
ispiv-125	150	34	the	the	DET
ispiv-125	150	35	trajectory	trajectory	NOUN
ispiv-125	150	36	data	datum	NOUN
ispiv-125	150	37	.	.	PUNCT
ispiv-125	151	1	with	with	ADP
ispiv-125	151	2	the	the	DET
ispiv-125	151	3	aim	aim	NOUN
ispiv-125	151	4	of	of	ADP
ispiv-125	151	5	automatically	automatically	ADV
ispiv-125	151	6	finding	find	VERB
ispiv-125	151	7	the	the	DET
ispiv-125	151	8	optimal	optimal	ADJ
ispiv-125	151	9	filter	filter	NOUN
ispiv-125	151	10	length	length	NOUN
ispiv-125	151	11	at	at	ADP
ispiv-125	151	12	a	a	DET
ispiv-125	151	13	fixed	fix	VERB
ispiv-125	151	14	filter	filter	NOUN
ispiv-125	151	15	order	order	NOUN
ispiv-125	151	16	,	,	PUNCT
ispiv-125	151	17	the	the	DET
ispiv-125	151	18	adaptive	adaptive	ADJ
ispiv-125	151	19	track	track	NOUN
ispiv-125	151	20	filter	filter	NOUN
ispiv-125	151	21	was	be	AUX
ispiv-125	151	22	introduced	introduce	VERB
ispiv-125	151	23	.	.	PUNCT
ispiv-125	152	1	it	it	PRON
ispiv-125	152	2	could	could	AUX
ispiv-125	152	3	be	be	AUX
ispiv-125	152	4	shown	show	VERB
ispiv-125	152	5	,	,	PUNCT
ispiv-125	152	6	that	that	SCONJ
ispiv-125	152	7	the	the	DET
ispiv-125	152	8	adaptive	adaptive	ADJ
ispiv-125	152	9	track	track	NOUN
ispiv-125	152	10	filter	filter	NOUN
ispiv-125	152	11	is	be	AUX
ispiv-125	152	12	able	able	ADJ
ispiv-125	152	13	to	to	PART
ispiv-125	152	14	find	find	VERB
ispiv-125	152	15	the	the	DET
ispiv-125	152	16	filter	filter	NOUN
ispiv-125	152	17	length	length	NOUN
ispiv-125	152	18	,	,	PUNCT
ispiv-125	152	19	which	which	PRON
ispiv-125	152	20	minimizes	minimize	VERB
ispiv-125	152	21	the	the	DET
ispiv-125	152	22	measurement	measurement	NOUN
ispiv-125	152	23	uncertainty	uncertainty	NOUN
ispiv-125	152	24	and	and	CCONJ
ispiv-125	152	25	maximizing	maximize	VERB
ispiv-125	152	26	the	the	DET
ispiv-125	152	27	goodness	goodness	NOUN
ispiv-125	152	28	of	of	ADP
ispiv-125	152	29	the	the	DET
ispiv-125	152	30	fit	fit	ADJ
ispiv-125	152	31	and	and	CCONJ
ispiv-125	152	32	therefore	therefore	ADV
ispiv-125	152	33	ensuring	ensure	VERB
ispiv-125	152	34	,	,	PUNCT
ispiv-125	152	35	that	that	SCONJ
ispiv-125	152	36	no	no	DET
ispiv-125	152	37	truncation	truncation	NOUN
ispiv-125	152	38	errors	error	NOUN
ispiv-125	152	39	are	be	AUX
ispiv-125	152	40	introduced	introduce	VERB
ispiv-125	152	41	during	during	ADP
ispiv-125	152	42	the	the	DET
ispiv-125	152	43	filtering	filtering	NOUN
ispiv-125	152	44	process	process	NOUN
ispiv-125	152	45	.	.	PUNCT
ispiv-125	153	1	in	in	ADP
ispiv-125	153	2	future	future	ADJ
ispiv-125	153	3	work	work	NOUN
ispiv-125	153	4	,	,	PUNCT
ispiv-125	153	5	it	it	PRON
ispiv-125	153	6	shall	shall	AUX
ispiv-125	153	7	be	be	AUX
ispiv-125	153	8	investigated	investigate	VERB
ispiv-125	153	9	how	how	SCONJ
ispiv-125	153	10	the	the	DET
ispiv-125	153	11	adaptive	adaptive	ADJ
ispiv-125	153	12	track	track	NOUN
ispiv-125	153	13	filter	filter	NOUN
ispiv-125	153	14	influences	influence	VERB
ispiv-125	153	15	the	the	DET
ispiv-125	153	16	quality	quality	NOUN
ispiv-125	153	17	of	of	ADP
ispiv-125	153	18	the	the	DET
ispiv-125	153	19	global	global	ADJ
ispiv-125	153	20	velocity	velocity	NOUN
ispiv-125	153	21	reconstructed	reconstruct	VERB
ispiv-125	153	22	by	by	ADP
ispiv-125	153	23	binning	bin	VERB
ispiv-125	153	24	operations	operation	NOUN
ispiv-125	153	25	or	or	CCONJ
ispiv-125	153	26	data	datum	NOUN
ispiv-125	153	27	assimilation	assimilation	NOUN
ispiv-125	153	28	methods	method	NOUN
ispiv-125	153	29	,	,	PUNCT
ispiv-125	153	30	such	such	ADJ
ispiv-125	153	31	as	as	ADP
ispiv-125	153	32	vic	vic	NOUN
ispiv-125	153	33	#	#	NOUN
ispiv-125	153	34	.	.	PUNCT
ispiv-125	154	1	references	reference	NOUN
ispiv-125	154	2	adrian	adrian	PROPN
ispiv-125	154	3	rj	rj	PROPN
ispiv-125	154	4	(	(	PUNCT
ispiv-125	154	5	2005	2005	NUM
ispiv-125	154	6	)	)	PUNCT
ispiv-125	154	7	twenty	twenty	NUM
ispiv-125	154	8	years	year	NOUN
ispiv-125	154	9	of	of	ADP
ispiv-125	154	10	particle	particle	NOUN
ispiv-125	154	11	image	image	NOUN
ispiv-125	154	12	velocimetry	velocimetry	NOUN
ispiv-125	154	13	.	.	PUNCT
ispiv-125	155	1	experiments	experiment	NOUN
ispiv-125	155	2	in	in	ADP
ispiv-125	155	3	fluids	fluid	NOUN
ispiv-125	155	4	39:159–169	39:159–169	PROPN
ispiv-125	155	5	bhattacharya	bhattacharya	PROPN
ispiv-125	155	6	s	s	PROPN
ispiv-125	155	7	,	,	PUNCT
ispiv-125	155	8	charonko	charonko	PROPN
ispiv-125	155	9	jj	jj	PROPN
ispiv-125	155	10	,	,	PUNCT
ispiv-125	155	11	and	and	CCONJ
ispiv-125	155	12	vlachos	vlachos	ADP
ispiv-125	155	13	pp	pp	PROPN
ispiv-125	155	14	(	(	PUNCT
ispiv-125	155	15	2018	2018	NUM
ispiv-125	155	16	)	)	PUNCT
ispiv-125	155	17	particle	particle	NOUN
ispiv-125	155	18	image	image	NOUN
ispiv-125	155	19	velocimetry	velocimetry	NOUN
ispiv-125	155	20	(	(	PUNCT
ispiv-125	155	21	piv	piv	NOUN
ispiv-125	155	22	)	)	PUNCT
ispiv-125	155	23	uncertainty	uncertainty	NOUN
ispiv-125	155	24	quantification	quantification	NOUN
ispiv-125	155	25	using	use	VERB
ispiv-125	155	26	moment	moment	NOUN
ispiv-125	155	27	of	of	ADP
ispiv-125	155	28	correlation	correlation	NOUN
ispiv-125	155	29	(	(	PUNCT
ispiv-125	155	30	mc	mc	NOUN
ispiv-125	155	31	)	)	PUNCT
ispiv-125	155	32	plane	plane	NOUN
ispiv-125	155	33	.	.	PUNCT
ispiv-125	156	1	measurement	measurement	NOUN
ispiv-125	156	2	science	science	NOUN
ispiv-125	156	3	and	and	CCONJ
ispiv-125	156	4	technology	technology	NOUN
ispiv-125	156	5	29:115301	29:115301	NUM
ispiv-125	156	6	bhattacharya	bhattacharya	PROPN
ispiv-125	156	7	s	s	PART
ispiv-125	156	8	and	and	CCONJ
ispiv-125	156	9	vlachos	vlachos	ADV
ispiv-125	156	10	pp	pp	PROPN
ispiv-125	156	11	(	(	PUNCT
ispiv-125	156	12	2020	2020	NUM
ispiv-125	156	13	)	)	PUNCT
ispiv-125	156	14	volumetric	volumetric	NOUN
ispiv-125	156	15	particle	particle	NOUN
ispiv-125	156	16	tracking	tracking	NOUN
ispiv-125	156	17	velocimetry	velocimetry	NOUN
ispiv-125	156	18	(	(	PUNCT
ispiv-125	156	19	ptv	ptv	INTJ
ispiv-125	156	20	)	)	PUNCT
ispiv-125	156	21	uncertainty	uncertainty	NOUN
ispiv-125	156	22	quantification	quantification	NOUN
ispiv-125	156	23	.	.	PUNCT
ispiv-125	157	1	experiments	experiment	NOUN
ispiv-125	157	2	in	in	ADP
ispiv-125	157	3	fluids	fluid	NOUN
ispiv-125	157	4	61:197	61:197	NUM
ispiv-125	157	5	persoons	persoon	NOUN
ispiv-125	157	6	t	t	NOUN
ispiv-125	157	7	(	(	PUNCT
ispiv-125	157	8	2015	2015	NUM
ispiv-125	157	9	)	)	PUNCT
ispiv-125	157	10	time	time	NOUN
ispiv-125	157	11	-	-	PUNCT
ispiv-125	157	12	resolved	resolve	VERB
ispiv-125	157	13	high	high	ADJ
ispiv-125	157	14	-	-	PUNCT
ispiv-125	157	15	dynamic	dynamic	ADJ
ispiv-125	157	16	-	-	PUNCT
ispiv-125	157	17	range	range	NOUN
ispiv-125	157	18	particle	particle	NOUN
ispiv-125	157	19	image	image	NOUN
ispiv-125	157	20	velocimetry	velocimetry	NOUN
ispiv-125	157	21	using	use	VERB
ispiv-125	157	22	local	local	ADJ
ispiv-125	157	23	uncertainty	uncertainty	NOUN
ispiv-125	157	24	estimation	estimation	NOUN
ispiv-125	157	25	.	.	PUNCT
ispiv-125	158	1	aiaa	aiaa	PROPN
ispiv-125	158	2	journal	journal	PROPN
ispiv-125	158	3	53:2164–2173	53:2164–2173	PROPN
ispiv-125	158	4	rajendran	rajendran	NOUN
ispiv-125	158	5	lk	lk	PROPN
ispiv-125	158	6	,	,	PUNCT
ispiv-125	158	7	bhattacharya	bhattacharya	PROPN
ispiv-125	158	8	s	s	PART
ispiv-125	158	9	,	,	PUNCT
ispiv-125	158	10	bane	bane	NOUN
ispiv-125	158	11	spm	spm	PROPN
ispiv-125	158	12	,	,	PUNCT
ispiv-125	158	13	and	and	CCONJ
ispiv-125	158	14	vlachos	vlachos	ADP
ispiv-125	158	15	pp	pp	PROPN
ispiv-125	158	16	(	(	PUNCT
ispiv-125	158	17	2021	2021	NUM
ispiv-125	158	18	)	)	PUNCT
ispiv-125	158	19	meta	meta	NOUN
ispiv-125	158	20	-	-	PUNCT
ispiv-125	158	21	uncertainty	uncertainty	NOUN
ispiv-125	158	22	for	for	ADP
ispiv-125	158	23	particle	particle	NOUN
ispiv-125	158	24	image	image	NOUN
ispiv-125	158	25	velocimetry	velocimetry	NOUN
ispiv-125	158	26	.	.	PUNCT
ispiv-125	159	1	measurement	measurement	NOUN
ispiv-125	159	2	science	science	NOUN
ispiv-125	159	3	and	and	CCONJ
ispiv-125	159	4	technology	technology	NOUN
ispiv-125	159	5	32:104002	32:104002	NUM
ispiv-125	159	6	schneiders	schneider	NOUN
ispiv-125	159	7	jfg	jfg	PROPN
ispiv-125	159	8	and	and	CCONJ
ispiv-125	159	9	sciacchitano	sciacchitano	VERB
ispiv-125	159	10	a	a	DET
ispiv-125	159	11	(	(	PUNCT
ispiv-125	159	12	2017	2017	NUM
ispiv-125	159	13	)	)	PUNCT
ispiv-125	159	14	track	track	NOUN
ispiv-125	159	15	benchmarking	benchmarking	NOUN
ispiv-125	159	16	method	method	NOUN
ispiv-125	159	17	for	for	ADP
ispiv-125	159	18	uncertainty	uncertainty	NOUN
ispiv-125	159	19	quantification	quantification	NOUN
ispiv-125	159	20	of	of	ADP
ispiv-125	159	21	particle	particle	NOUN
ispiv-125	159	22	tracking	tracking	NOUN
ispiv-125	159	23	velocimetry	velocimetry	NOUN
ispiv-125	159	24	interpolations	interpolation	NOUN
ispiv-125	159	25	.	.	PUNCT
ispiv-125	160	1	measurement	measurement	NOUN
ispiv-125	160	2	science	science	NOUN
ispiv-125	160	3	and	and	CCONJ
ispiv-125	160	4	technology	technology	NOUN
ispiv-125	160	5	28:65302	28:65302	PROPN
ispiv-125	160	6	sciacchitano	sciacchitano	NOUN
ispiv-125	160	7	a	a	PRON
ispiv-125	160	8	,	,	PUNCT
ispiv-125	160	9	neal	neal	PROPN
ispiv-125	160	10	dr	dr	PROPN
ispiv-125	160	11	,	,	PUNCT
ispiv-125	160	12	smith	smith	PROPN
ispiv-125	160	13	bl	bl	PROPN
ispiv-125	160	14	,	,	PUNCT
ispiv-125	160	15	warner	warner	PROPN
ispiv-125	161	1	so	so	ADV
ispiv-125	161	2	,	,	PUNCT
ispiv-125	161	3	vlachos	vlachos	ADV
ispiv-125	161	4	pp	pp	ADV
ispiv-125	161	5	,	,	PUNCT
ispiv-125	161	6	wieneke	wieneke	PROPN
ispiv-125	161	7	b	b	NOUN
ispiv-125	161	8	,	,	PUNCT
ispiv-125	161	9	and	and	CCONJ
ispiv-125	161	10	scarano	scarano	ADJ
ispiv-125	161	11	f	f	PROPN
ispiv-125	161	12	(	(	PUNCT
ispiv-125	161	13	2015	2015	NUM
ispiv-125	161	14	)	)	PUNCT
ispiv-125	161	15	collaborative	collaborative	ADJ
ispiv-125	161	16	framework	framework	NOUN
ispiv-125	161	17	for	for	ADP
ispiv-125	161	18	piv	piv	NOUN
ispiv-125	161	19	uncertainty	uncertainty	NOUN
ispiv-125	161	20	quantification	quantification	NOUN
ispiv-125	161	21	:	:	PUNCT
ispiv-125	161	22	comparative	comparative	ADJ
ispiv-125	161	23	assessment	assessment	NOUN
ispiv-125	161	24	of	of	ADP
ispiv-125	161	25	methods	method	NOUN
ispiv-125	161	26	.	.	PUNCT
ispiv-125	162	1	measurement	measurement	NOUN
ispiv-125	162	2	science	science	NOUN
ispiv-125	162	3	and	and	CCONJ
ispiv-125	162	4	technology	technology	NOUN
ispiv-125	162	5	26:74004	26:74004	NUM
ispiv-125	162	6	violato	violato	NOUN
ispiv-125	162	7	d	d	NOUN
ispiv-125	162	8	and	and	CCONJ
ispiv-125	162	9	scarano	scarano	ADJ
ispiv-125	162	10	f	f	PROPN
ispiv-125	162	11	(	(	PUNCT
ispiv-125	162	12	2011	2011	NUM
ispiv-125	162	13	)	)	PUNCT
ispiv-125	162	14	three	three	NUM
ispiv-125	162	15	-	-	PUNCT
ispiv-125	162	16	dimensional	dimensional	ADJ
ispiv-125	162	17	evolution	evolution	NOUN
ispiv-125	162	18	of	of	ADP
ispiv-125	162	19	flow	flow	NOUN
ispiv-125	162	20	structures	structure	NOUN
ispiv-125	162	21	in	in	ADP
ispiv-125	162	22	transitional	transitional	ADJ
ispiv-125	162	23	circular	circular	ADJ
ispiv-125	162	24	and	and	CCONJ
ispiv-125	162	25	chevron	chevron	NOUN
ispiv-125	162	26	jets	jet	NOUN
ispiv-125	162	27	.	.	PUNCT
ispiv-125	163	1	physics	physic	NOUN
ispiv-125	163	2	of	of	ADP
ispiv-125	163	3	fluids	fluid	NOUN
ispiv-125	163	4	23:124104	23:124104	PROPN
ispiv-125	163	5	wieneke	wieneke	PROPN
ispiv-125	163	6	b	b	PROPN
ispiv-125	163	7	(	(	PUNCT
ispiv-125	163	8	2015	2015	NUM
ispiv-125	163	9	)	)	PUNCT
ispiv-125	163	10	piv	piv	NOUN
ispiv-125	163	11	uncertainty	uncertainty	NOUN
ispiv-125	163	12	quantification	quantification	NOUN
ispiv-125	163	13	from	from	ADP
ispiv-125	163	14	correlation	correlation	NOUN
ispiv-125	163	15	statistics	statistic	NOUN
ispiv-125	163	16	.	.	PUNCT
ispiv-125	164	1	measurement	measurement	NOUN
ispiv-125	164	2	science	science	NOUN
ispiv-125	164	3	and	and	CCONJ
ispiv-125	164	4	technology	technology	NOUN
ispiv-125	164	5	26:74002	26:74002	PROPN
ispiv-125	164	6	wieneke	wieneke	PROPN
ispiv-125	164	7	b	b	PROPN
ispiv-125	164	8	(	(	PUNCT
ispiv-125	164	9	2017	2017	NUM
ispiv-125	164	10	)	)	PUNCT
ispiv-125	164	11	piv	piv	NOUN
ispiv-125	164	12	anisotropic	anisotropic	NOUN
ispiv-125	164	13	denoising	denoise	VERB
ispiv-125	164	14	using	use	VERB
ispiv-125	164	15	uncertainty	uncertainty	NOUN
ispiv-125	164	16	quantification	quantification	NOUN
ispiv-125	164	17	.	.	PUNCT
ispiv-125	165	1	experiments	experiment	NOUN
ispiv-125	165	2	in	in	ADP
ispiv-125	165	3	fluids	fluid	NOUN
ispiv-125	165	4	58	58	NUM
ispiv-125	165	5	zhang	zhang	PROPN
ispiv-125	165	6	j	j	PROPN
ispiv-125	165	7	,	,	PUNCT
ispiv-125	165	8	bhattacharya	bhattacharya	PROPN
ispiv-125	165	9	s	s	PART
ispiv-125	165	10	,	,	PUNCT
ispiv-125	165	11	and	and	CCONJ
ispiv-125	165	12	vlachos	vlachos	ADV
ispiv-125	165	13	pp	pp	PROPN
ispiv-125	165	14	(	(	PUNCT
ispiv-125	165	15	2020	2020	NUM
ispiv-125	165	16	)	)	PUNCT
ispiv-125	165	17	using	use	VERB
ispiv-125	165	18	uncertainty	uncertainty	NOUN
ispiv-125	165	19	to	to	PART
ispiv-125	165	20	improve	improve	VERB
ispiv-125	165	21	pressure	pressure	NOUN
ispiv-125	165	22	field	field	NOUN
ispiv-125	165	23	reconstruction	reconstruction	NOUN
ispiv-125	165	24	from	from	ADP
ispiv-125	165	25	piv	piv	NOUN
ispiv-125	165	26	/	/	SYM
ispiv-125	165	27	ptv	ptv	PROPN
ispiv-125	165	28	flow	flow	NOUN
ispiv-125	165	29	measurements	measurement	NOUN
ispiv-125	165	30	.	.	PUNCT
ispiv-125	166	1	experiments	experiment	NOUN
ispiv-125	166	2	in	in	ADP
ispiv-125	166	3	fluids	fluid	NOUN
ispiv-125	166	4	61:131	61:131	NUM
ispiv-125	166	5	introduction	introduction	NOUN
ispiv-125	166	6	uncertainty	uncertainty	NOUN
ispiv-125	166	7	quantification	quantification	NOUN
ispiv-125	166	8	linear	linear	PROPN
ispiv-125	166	9	regression	regression	NOUN
ispiv-125	166	10	analysis	analysis	NOUN
ispiv-125	166	11	numerical	numerical	ADJ
ispiv-125	166	12	analysis	analysis	NOUN
ispiv-125	166	13	adaptive	adaptive	ADJ
ispiv-125	166	14	track	track	NOUN
ispiv-125	166	15	filter	filter	NOUN
ispiv-125	166	16	conclusions	conclusion	NOUN