Prediction on widely factorizable signals

Abstract This article extends the solutions to the prediction problem for factorizable real random signals to the class of improper complex-valued random signals. For that, the concept of widely factorizable signals is introduced and several real examples of signals having a widely factorizable corr...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Fernández-Alcalá, Rosa M. [verfasserIn] Navarro-Moreno, Jesús [verfasserIn] Ruiz-Molina, Juan C. [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2012

Schlagwörter:	complex-valued improper signals prediction problems widely factorizable signals widely linear processing.

Übergeordnetes Werk:	Enthalten in: EURASIP journal on advances in signal processing - Heidelberg : Springer, 2007, 2012(2012), 1 vom: 01. Mai
Übergeordnetes Werk:	volume:2012 ; year:2012 ; number:1 ; day:01 ; month:05

Links:	Volltext

DOI / URN:	10.1186/1687-6180-2012-96

Katalog-ID:	SPR032000456

Internformat


LEADER	01000caa a22002652 4500
001	SPR032000456
003	DE-627
005	20220111195052.0
007	cr uuu---uuuuu
008	201007s2012 xx \|\|\|\|\|o 00\| \|\|eng c
024	7		\|a 10.1186/1687-6180-2012-96 \|2 doi
035			\|a (DE-627)SPR032000456
035			\|a (SPR)1687-6180-2012-96-e
040			\|a DE-627 \|b ger \|c DE-627 \|e rakwb
041			\|a eng
082	0	4	\|a 620 \|q ASE
084			\|a 53.73 \|2 bkl
100	1		\|a Fernández-Alcalá, Rosa M. \|e verfasserin \|4 aut
245	1	0	\|a Prediction on widely factorizable signals
264		1	\|c 2012
336			\|a Text \|b txt \|2 rdacontent
337			\|a Computermedien \|b c \|2 rdamedia
338			\|a Online-Ressource \|b cr \|2 rdacarrier
520			\|a Abstract This article extends the solutions to the prediction problem for factorizable real random signals to the class of improper complex-valued random signals. For that, the concept of widely factorizable signals is introduced and several real examples of signals having a widely factorizable correlation function are presented. A widely linear processing is considered in the design of both linear and nonlinear prediction algorithms which are computationally feasible from the practical standpoint. These algorithms are valid for stationary as well as nonstationary signals and they can be applied from only the knowledge of the second-order properties of the augmented vectors involved, it not being necessary to know if the signal satisfies a state-space model.
650		4	\|a complex-valued improper signals \|7 (dpeaa)DE-He213
650		4	\|a prediction problems \|7 (dpeaa)DE-He213
650		4	\|a widely factorizable signals \|7 (dpeaa)DE-He213
650		4	\|a widely linear processing. \|7 (dpeaa)DE-He213
700	1		\|a Navarro-Moreno, Jesús \|e verfasserin \|4 aut
700	1		\|a Ruiz-Molina, Juan C. \|e verfasserin \|4 aut
773	0	8	\|i Enthalten in \|t EURASIP journal on advances in signal processing \|d Heidelberg : Springer, 2007 \|g 2012(2012), 1 vom: 01. Mai \|w (DE-627)534054277 \|w (DE-600)2364203-8 \|x 1687-6180 \|7 nnns
773	1	8	\|g volume:2012 \|g year:2012 \|g number:1 \|g day:01 \|g month:05
856	4	0	\|u https://dx.doi.org/10.1186/1687-6180-2012-96 \|z kostenfrei \|3 Volltext
912			\|a GBV_USEFLAG_A
912			\|a SYSFLAG_A
912			\|a GBV_SPRINGER
912			\|a GBV_ILN_20
912			\|a GBV_ILN_22
912			\|a GBV_ILN_23
912			\|a GBV_ILN_24
912			\|a GBV_ILN_31
912			\|a GBV_ILN_39
912			\|a GBV_ILN_40
912			\|a GBV_ILN_60
912			\|a GBV_ILN_62
912			\|a GBV_ILN_63
912			\|a GBV_ILN_65
912			\|a GBV_ILN_69
912			\|a GBV_ILN_70
912			\|a GBV_ILN_73
912			\|a GBV_ILN_95
912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
912			\|a GBV_ILN_151
912			\|a GBV_ILN_161
912			\|a GBV_ILN_170
912			\|a GBV_ILN_213
912			\|a GBV_ILN_230
912			\|a GBV_ILN_285
912			\|a GBV_ILN_293
912			\|a GBV_ILN_370
912			\|a GBV_ILN_602
912			\|a GBV_ILN_2014
912			\|a GBV_ILN_2522
912			\|a GBV_ILN_4012
912			\|a GBV_ILN_4037
912			\|a GBV_ILN_4112
912			\|a GBV_ILN_4125
912			\|a GBV_ILN_4126
912			\|a GBV_ILN_4249
912			\|a GBV_ILN_4305
912			\|a GBV_ILN_4306
912			\|a GBV_ILN_4307
912			\|a GBV_ILN_4313
912			\|a GBV_ILN_4322
912			\|a GBV_ILN_4323
912			\|a GBV_ILN_4324
912			\|a GBV_ILN_4325
912			\|a GBV_ILN_4335
912			\|a GBV_ILN_4338
912			\|a GBV_ILN_4367
912			\|a GBV_ILN_4700
936	b	k	\|a 53.73 \|q ASE
951			\|a AR
952			\|d 2012 \|j 2012 \|e 1 \|b 01 \|c 05

Indexfelder

author_variant	r m f a rmf rmfa j n m jnm j c r m jcr jcrm
matchkey_str	article:16876180:2012----::rdcinnieyatrz
hierarchy_sort_str	2012
bklnumber	53.73
publishDate	2012
allfields	10.1186/1687-6180-2012-96 doi (DE-627)SPR032000456 (SPR)1687-6180-2012-96-e DE-627 ger DE-627 rakwb eng 620 ASE 53.73 bkl Fernández-Alcalá, Rosa M. verfasserin aut Prediction on widely factorizable signals 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This article extends the solutions to the prediction problem for factorizable real random signals to the class of improper complex-valued random signals. For that, the concept of widely factorizable signals is introduced and several real examples of signals having a widely factorizable correlation function are presented. A widely linear processing is considered in the design of both linear and nonlinear prediction algorithms which are computationally feasible from the practical standpoint. These algorithms are valid for stationary as well as nonstationary signals and they can be applied from only the knowledge of the second-order properties of the augmented vectors involved, it not being necessary to know if the signal satisfies a state-space model. complex-valued improper signals (dpeaa)DE-He213 prediction problems (dpeaa)DE-He213 widely factorizable signals (dpeaa)DE-He213 widely linear processing. (dpeaa)DE-He213 Navarro-Moreno, Jesús verfasserin aut Ruiz-Molina, Juan C. verfasserin aut Enthalten in EURASIP journal on advances in signal processing Heidelberg : Springer, 2007 2012(2012), 1 vom: 01. Mai (DE-627)534054277 (DE-600)2364203-8 1687-6180 nnns volume:2012 year:2012 number:1 day:01 month:05 https://dx.doi.org/10.1186/1687-6180-2012-96 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 53.73 ASE AR 2012 2012 1 01 05
spelling	10.1186/1687-6180-2012-96 doi (DE-627)SPR032000456 (SPR)1687-6180-2012-96-e DE-627 ger DE-627 rakwb eng 620 ASE 53.73 bkl Fernández-Alcalá, Rosa M. verfasserin aut Prediction on widely factorizable signals 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This article extends the solutions to the prediction problem for factorizable real random signals to the class of improper complex-valued random signals. For that, the concept of widely factorizable signals is introduced and several real examples of signals having a widely factorizable correlation function are presented. A widely linear processing is considered in the design of both linear and nonlinear prediction algorithms which are computationally feasible from the practical standpoint. These algorithms are valid for stationary as well as nonstationary signals and they can be applied from only the knowledge of the second-order properties of the augmented vectors involved, it not being necessary to know if the signal satisfies a state-space model. complex-valued improper signals (dpeaa)DE-He213 prediction problems (dpeaa)DE-He213 widely factorizable signals (dpeaa)DE-He213 widely linear processing. (dpeaa)DE-He213 Navarro-Moreno, Jesús verfasserin aut Ruiz-Molina, Juan C. verfasserin aut Enthalten in EURASIP journal on advances in signal processing Heidelberg : Springer, 2007 2012(2012), 1 vom: 01. Mai (DE-627)534054277 (DE-600)2364203-8 1687-6180 nnns volume:2012 year:2012 number:1 day:01 month:05 https://dx.doi.org/10.1186/1687-6180-2012-96 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 53.73 ASE AR 2012 2012 1 01 05
allfields_unstemmed	10.1186/1687-6180-2012-96 doi (DE-627)SPR032000456 (SPR)1687-6180-2012-96-e DE-627 ger DE-627 rakwb eng 620 ASE 53.73 bkl Fernández-Alcalá, Rosa M. verfasserin aut Prediction on widely factorizable signals 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This article extends the solutions to the prediction problem for factorizable real random signals to the class of improper complex-valued random signals. For that, the concept of widely factorizable signals is introduced and several real examples of signals having a widely factorizable correlation function are presented. A widely linear processing is considered in the design of both linear and nonlinear prediction algorithms which are computationally feasible from the practical standpoint. These algorithms are valid for stationary as well as nonstationary signals and they can be applied from only the knowledge of the second-order properties of the augmented vectors involved, it not being necessary to know if the signal satisfies a state-space model. complex-valued improper signals (dpeaa)DE-He213 prediction problems (dpeaa)DE-He213 widely factorizable signals (dpeaa)DE-He213 widely linear processing. (dpeaa)DE-He213 Navarro-Moreno, Jesús verfasserin aut Ruiz-Molina, Juan C. verfasserin aut Enthalten in EURASIP journal on advances in signal processing Heidelberg : Springer, 2007 2012(2012), 1 vom: 01. Mai (DE-627)534054277 (DE-600)2364203-8 1687-6180 nnns volume:2012 year:2012 number:1 day:01 month:05 https://dx.doi.org/10.1186/1687-6180-2012-96 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 53.73 ASE AR 2012 2012 1 01 05
allfieldsGer	10.1186/1687-6180-2012-96 doi (DE-627)SPR032000456 (SPR)1687-6180-2012-96-e DE-627 ger DE-627 rakwb eng 620 ASE 53.73 bkl Fernández-Alcalá, Rosa M. verfasserin aut Prediction on widely factorizable signals 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This article extends the solutions to the prediction problem for factorizable real random signals to the class of improper complex-valued random signals. For that, the concept of widely factorizable signals is introduced and several real examples of signals having a widely factorizable correlation function are presented. A widely linear processing is considered in the design of both linear and nonlinear prediction algorithms which are computationally feasible from the practical standpoint. These algorithms are valid for stationary as well as nonstationary signals and they can be applied from only the knowledge of the second-order properties of the augmented vectors involved, it not being necessary to know if the signal satisfies a state-space model. complex-valued improper signals (dpeaa)DE-He213 prediction problems (dpeaa)DE-He213 widely factorizable signals (dpeaa)DE-He213 widely linear processing. (dpeaa)DE-He213 Navarro-Moreno, Jesús verfasserin aut Ruiz-Molina, Juan C. verfasserin aut Enthalten in EURASIP journal on advances in signal processing Heidelberg : Springer, 2007 2012(2012), 1 vom: 01. Mai (DE-627)534054277 (DE-600)2364203-8 1687-6180 nnns volume:2012 year:2012 number:1 day:01 month:05 https://dx.doi.org/10.1186/1687-6180-2012-96 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 53.73 ASE AR 2012 2012 1 01 05
allfieldsSound	10.1186/1687-6180-2012-96 doi (DE-627)SPR032000456 (SPR)1687-6180-2012-96-e DE-627 ger DE-627 rakwb eng 620 ASE 53.73 bkl Fernández-Alcalá, Rosa M. verfasserin aut Prediction on widely factorizable signals 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This article extends the solutions to the prediction problem for factorizable real random signals to the class of improper complex-valued random signals. For that, the concept of widely factorizable signals is introduced and several real examples of signals having a widely factorizable correlation function are presented. A widely linear processing is considered in the design of both linear and nonlinear prediction algorithms which are computationally feasible from the practical standpoint. These algorithms are valid for stationary as well as nonstationary signals and they can be applied from only the knowledge of the second-order properties of the augmented vectors involved, it not being necessary to know if the signal satisfies a state-space model. complex-valued improper signals (dpeaa)DE-He213 prediction problems (dpeaa)DE-He213 widely factorizable signals (dpeaa)DE-He213 widely linear processing. (dpeaa)DE-He213 Navarro-Moreno, Jesús verfasserin aut Ruiz-Molina, Juan C. verfasserin aut Enthalten in EURASIP journal on advances in signal processing Heidelberg : Springer, 2007 2012(2012), 1 vom: 01. Mai (DE-627)534054277 (DE-600)2364203-8 1687-6180 nnns volume:2012 year:2012 number:1 day:01 month:05 https://dx.doi.org/10.1186/1687-6180-2012-96 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 53.73 ASE AR 2012 2012 1 01 05
language	English
source	Enthalten in EURASIP journal on advances in signal processing 2012(2012), 1 vom: 01. Mai volume:2012 year:2012 number:1 day:01 month:05
sourceStr	Enthalten in EURASIP journal on advances in signal processing 2012(2012), 1 vom: 01. Mai volume:2012 year:2012 number:1 day:01 month:05
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	complex-valued improper signals prediction problems widely factorizable signals widely linear processing.
dewey-raw	620
isfreeaccess_bool	true
container_title	EURASIP journal on advances in signal processing
authorswithroles_txt_mv	Fernández-Alcalá, Rosa M. @@aut@@ Navarro-Moreno, Jesús @@aut@@ Ruiz-Molina, Juan C. @@aut@@
publishDateDaySort_date	2012-05-01T00:00:00Z
hierarchy_top_id	534054277
dewey-sort	3620
id	SPR032000456
language_de	englisch
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR032000456</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20220111195052.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201007s2012 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1186/1687-6180-2012-96</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR032000456</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)1687-6180-2012-96-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">620</subfield><subfield code="q">ASE</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">53.73</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Fernández-Alcalá, Rosa M.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Prediction on widely factorizable signals</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2012</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract This article extends the solutions to the prediction problem for factorizable real random signals to the class of improper complex-valued random signals. For that, the concept of widely factorizable signals is introduced and several real examples of signals having a widely factorizable correlation function are presented. A widely linear processing is considered in the design of both linear and nonlinear prediction algorithms which are computationally feasible from the practical standpoint. These algorithms are valid for stationary as well as nonstationary signals and they can be applied from only the knowledge of the second-order properties of the augmented vectors involved, it not being necessary to know if the signal satisfies a state-space model.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">complex-valued improper signals</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">prediction problems</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">widely factorizable signals</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">widely linear processing.</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Navarro-Moreno, Jesús</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ruiz-Molina, Juan C.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">EURASIP journal on advances in signal processing</subfield><subfield code="d">Heidelberg : Springer, 2007</subfield><subfield code="g">2012(2012), 1 vom: 01. Mai</subfield><subfield code="w">(DE-627)534054277</subfield><subfield code="w">(DE-600)2364203-8</subfield><subfield code="x">1687-6180</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:2012</subfield><subfield code="g">year:2012</subfield><subfield code="g">number:1</subfield><subfield code="g">day:01</subfield><subfield code="g">month:05</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1186/1687-6180-2012-96</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2522</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">53.73</subfield><subfield code="q">ASE</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">2012</subfield><subfield code="j">2012</subfield><subfield code="e">1</subfield><subfield code="b">01</subfield><subfield code="c">05</subfield></datafield></record></collection>
author	Fernández-Alcalá, Rosa M.
spellingShingle	Fernández-Alcalá, Rosa M. ddc 620 bkl 53.73 misc complex-valued improper signals misc prediction problems misc widely factorizable signals misc widely linear processing. Prediction on widely factorizable signals
authorStr	Fernández-Alcalá, Rosa M.
ppnlink_with_tag_str_mv	@@773@@(DE-627)534054277
format	electronic Article
dewey-ones	620 - Engineering & allied operations
delete_txt_mv	keep
author_role	aut aut aut
collection	springer
remote_str	true
illustrated	Not Illustrated
issn	1687-6180
topic_title	620 ASE 53.73 bkl Prediction on widely factorizable signals complex-valued improper signals (dpeaa)DE-He213 prediction problems (dpeaa)DE-He213 widely factorizable signals (dpeaa)DE-He213 widely linear processing. (dpeaa)DE-He213
topic	ddc 620 bkl 53.73 misc complex-valued improper signals misc prediction problems misc widely factorizable signals misc widely linear processing.
topic_unstemmed	ddc 620 bkl 53.73 misc complex-valued improper signals misc prediction problems misc widely factorizable signals misc widely linear processing.
topic_browse	ddc 620 bkl 53.73 misc complex-valued improper signals misc prediction problems misc widely factorizable signals misc widely linear processing.
format_facet	Elektronische Aufsätze Aufsätze Elektronische Ressource
format_main_str_mv	Text Zeitschrift/Artikel
carriertype_str_mv	cr
hierarchy_parent_title	EURASIP journal on advances in signal processing
hierarchy_parent_id	534054277
dewey-tens	620 - Engineering
hierarchy_top_title	EURASIP journal on advances in signal processing
isfreeaccess_txt	true
familylinks_str_mv	(DE-627)534054277 (DE-600)2364203-8
title	Prediction on widely factorizable signals
ctrlnum	(DE-627)SPR032000456 (SPR)1687-6180-2012-96-e
title_full	Prediction on widely factorizable signals
author_sort	Fernández-Alcalá, Rosa M.
journal	EURASIP journal on advances in signal processing
journalStr	EURASIP journal on advances in signal processing
lang_code	eng
isOA_bool	true
dewey-hundreds	600 - Technology
recordtype	marc
publishDateSort	2012
contenttype_str_mv	txt
author_browse	Fernández-Alcalá, Rosa M. Navarro-Moreno, Jesús Ruiz-Molina, Juan C.
container_volume	2012
class	620 ASE 53.73 bkl
format_se	Elektronische Aufsätze
author-letter	Fernández-Alcalá, Rosa M.
doi_str_mv	10.1186/1687-6180-2012-96
dewey-full	620
author2-role	verfasserin
title_sort	prediction on widely factorizable signals
title_auth	Prediction on widely factorizable signals
abstract	Abstract This article extends the solutions to the prediction problem for factorizable real random signals to the class of improper complex-valued random signals. For that, the concept of widely factorizable signals is introduced and several real examples of signals having a widely factorizable correlation function are presented. A widely linear processing is considered in the design of both linear and nonlinear prediction algorithms which are computationally feasible from the practical standpoint. These algorithms are valid for stationary as well as nonstationary signals and they can be applied from only the knowledge of the second-order properties of the augmented vectors involved, it not being necessary to know if the signal satisfies a state-space model.
abstractGer	Abstract This article extends the solutions to the prediction problem for factorizable real random signals to the class of improper complex-valued random signals. For that, the concept of widely factorizable signals is introduced and several real examples of signals having a widely factorizable correlation function are presented. A widely linear processing is considered in the design of both linear and nonlinear prediction algorithms which are computationally feasible from the practical standpoint. These algorithms are valid for stationary as well as nonstationary signals and they can be applied from only the knowledge of the second-order properties of the augmented vectors involved, it not being necessary to know if the signal satisfies a state-space model.
abstract_unstemmed	Abstract This article extends the solutions to the prediction problem for factorizable real random signals to the class of improper complex-valued random signals. For that, the concept of widely factorizable signals is introduced and several real examples of signals having a widely factorizable correlation function are presented. A widely linear processing is considered in the design of both linear and nonlinear prediction algorithms which are computationally feasible from the practical standpoint. These algorithms are valid for stationary as well as nonstationary signals and they can be applied from only the knowledge of the second-order properties of the augmented vectors involved, it not being necessary to know if the signal satisfies a state-space model.
collection_details	GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700
container_issue	1
title_short	Prediction on widely factorizable signals
url	https://dx.doi.org/10.1186/1687-6180-2012-96
remote_bool	true
author2	Navarro-Moreno, Jesús Ruiz-Molina, Juan C.
author2Str	Navarro-Moreno, Jesús Ruiz-Molina, Juan C.
ppnlink	534054277
mediatype_str_mv	c
isOA_txt	true
hochschulschrift_bool	false
doi_str	10.1186/1687-6180-2012-96
up_date	2024-07-04T02:06:29.468Z
_version_	1803612365227294720
fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR032000456</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20220111195052.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201007s2012 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1186/1687-6180-2012-96</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR032000456</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)1687-6180-2012-96-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">620</subfield><subfield code="q">ASE</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">53.73</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Fernández-Alcalá, Rosa M.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Prediction on widely factorizable signals</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2012</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract This article extends the solutions to the prediction problem for factorizable real random signals to the class of improper complex-valued random signals. For that, the concept of widely factorizable signals is introduced and several real examples of signals having a widely factorizable correlation function are presented. A widely linear processing is considered in the design of both linear and nonlinear prediction algorithms which are computationally feasible from the practical standpoint. These algorithms are valid for stationary as well as nonstationary signals and they can be applied from only the knowledge of the second-order properties of the augmented vectors involved, it not being necessary to know if the signal satisfies a state-space model.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">complex-valued improper signals</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">prediction problems</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">widely factorizable signals</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">widely linear processing.</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Navarro-Moreno, Jesús</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ruiz-Molina, Juan C.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">EURASIP journal on advances in signal processing</subfield><subfield code="d">Heidelberg : Springer, 2007</subfield><subfield code="g">2012(2012), 1 vom: 01. Mai</subfield><subfield code="w">(DE-627)534054277</subfield><subfield code="w">(DE-600)2364203-8</subfield><subfield code="x">1687-6180</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:2012</subfield><subfield code="g">year:2012</subfield><subfield code="g">number:1</subfield><subfield code="g">day:01</subfield><subfield code="g">month:05</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1186/1687-6180-2012-96</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2522</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">53.73</subfield><subfield code="q">ASE</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">2012</subfield><subfield code="j">2012</subfield><subfield code="e">1</subfield><subfield code="b">01</subfield><subfield code="c">05</subfield></datafield></record></collection>
score	7.399687

Nicht das Richtige dabei?

Schreiben Sie uns!

Prediction on widely factorizable signals

Nicht das Richtige dabei?

Zugang & Verfügbarkeit

Vorhandene Bände

Nicht das Richtige dabei?