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Article: A matrix-pencil approach to blind separation of colored nonstationary signals

TitleA matrix-pencil approach to blind separation of colored nonstationary signals
Authors
KeywordsBeamforming
Blind source separation
Cancellation
Interference
Nonstationary signal processing
Issue Date2000
PublisherIEEE.
Citation
Ieee Transactions On Signal Processing, 2000, v. 48 n. 3, p. 900-907 How to Cite?
AbstractFor many signal sources such as speech with distinct, nonwhite power spectral densities, second-order statistics of the received signal mixture can be exploited for signal separation. Without knowledge on noise correlation matrix, we propose a simple and yet effective signal extraction method for signal source separation under unknown temporally white noise. This new and unbiased signal extractor is derived from the matrix pencil formed between output autocorrelation matrices at different delays. Based on the matrix pencil, an ESPRIT-type algorithm is derived to get an optimal solution in least square sense. Our method is well suited for systems with colored sensor noises and for nonstationary signals. © 2000 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/42875
ISSN
2021 Impact Factor: 4.875
2020 SCImago Journal Rankings: 1.638
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorChang, Cen_HK
dc.contributor.authorDing, Zen_HK
dc.contributor.authorYau, SFen_HK
dc.contributor.authorChan, FHYen_HK
dc.date.accessioned2007-03-23T04:33:51Z-
dc.date.available2007-03-23T04:33:51Z-
dc.date.issued2000en_HK
dc.identifier.citationIeee Transactions On Signal Processing, 2000, v. 48 n. 3, p. 900-907en_HK
dc.identifier.issn1053-587Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/42875-
dc.description.abstractFor many signal sources such as speech with distinct, nonwhite power spectral densities, second-order statistics of the received signal mixture can be exploited for signal separation. Without knowledge on noise correlation matrix, we propose a simple and yet effective signal extraction method for signal source separation under unknown temporally white noise. This new and unbiased signal extractor is derived from the matrix pencil formed between output autocorrelation matrices at different delays. Based on the matrix pencil, an ESPRIT-type algorithm is derived to get an optimal solution in least square sense. Our method is well suited for systems with colored sensor noises and for nonstationary signals. © 2000 IEEE.en_HK
dc.format.extent245958 bytes-
dc.format.extent26624 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypeapplication/msword-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.relation.ispartofIEEE Transactions on Signal Processingen_HK
dc.rights©2000 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.subjectBeamformingen_HK
dc.subjectBlind source separationen_HK
dc.subjectCancellationen_HK
dc.subjectInterferenceen_HK
dc.subjectNonstationary signal processingen_HK
dc.titleA matrix-pencil approach to blind separation of colored nonstationary signalsen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1053-587X&volume=48&issue=3&spage=900&epage=907&date=2000&atitle=A+matrix-pencil+approach+to+blind+separation+of+colored+nonstationary+signalsen_HK
dc.identifier.emailChang, C: cqchang@eee.hku.hken_HK
dc.identifier.authorityChang, C=rp00095en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/78.824690en_HK
dc.identifier.scopuseid_2-s2.0-0033901841en_HK
dc.identifier.hkuros60508-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0033901841&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume48en_HK
dc.identifier.issue3en_HK
dc.identifier.spage900en_HK
dc.identifier.epage907en_HK
dc.identifier.isiWOS:000085768200034-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridChang, C=7407033052en_HK
dc.identifier.scopusauthoridDing, Z=7401550510en_HK
dc.identifier.scopusauthoridYau, SF=7202478362en_HK
dc.identifier.scopusauthoridChan, FHY=7202586429en_HK
dc.identifier.issnl1053-587X-

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