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

TitleA matrix-pencil approach to blind separation of colored signals
Authors
Issue Date1998
Citation
Ieee Transactions On Signal Processing, 1998, v. 46 n. 10, p. 2848 How to Cite?
AbstractThe problem of blind source separation in additive noise is an important problem in speech, array, and acoustic signal processing. In general, this problem requires the use of higher order statistics of the received signals. Nonetheless, for many signal sources such as speed with distinct, nonwhite power spectral densities, second-order statistics of the received signal mixture can be exploited for signal separation. While previous approaches often assume that additive noise is absent or that the noise correlation matrix is known, we propose a simple 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 auto-correlation matrices at different delays. Based on the matrix pencil, an ESPRIT-type algorithm is derived to get an optimal solution in the least square sense. Our method performs better than other second-order statistics-based algorithms when sensor noises are correlated. Simulation examples are presented. © 1998 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/155339
ISSN
2015 Impact Factor: 2.624
2015 SCImago Journal Rankings: 2.004

 

DC FieldValueLanguage
dc.contributor.authorChang, Cen_HK
dc.contributor.authorDing, Zen_HK
dc.contributor.authorYau, SFen_HK
dc.contributor.authorChan, FHYen_HK
dc.date.accessioned2012-08-08T08:32:58Z-
dc.date.available2012-08-08T08:32:58Z-
dc.date.issued1998en_HK
dc.identifier.citationIeee Transactions On Signal Processing, 1998, v. 46 n. 10, p. 2848en_HK
dc.identifier.issn1053-587Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/155339-
dc.description.abstractThe problem of blind source separation in additive noise is an important problem in speech, array, and acoustic signal processing. In general, this problem requires the use of higher order statistics of the received signals. Nonetheless, for many signal sources such as speed with distinct, nonwhite power spectral densities, second-order statistics of the received signal mixture can be exploited for signal separation. While previous approaches often assume that additive noise is absent or that the noise correlation matrix is known, we propose a simple 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 auto-correlation matrices at different delays. Based on the matrix pencil, an ESPRIT-type algorithm is derived to get an optimal solution in the least square sense. Our method performs better than other second-order statistics-based algorithms when sensor noises are correlated. Simulation examples are presented. © 1998 IEEE.en_HK
dc.languageengen_US
dc.relation.ispartofIEEE Transactions on Signal Processingen_HK
dc.titleA matrix-pencil approach to blind separation of colored signalsen_HK
dc.typeArticleen_HK
dc.identifier.emailChang, C: cqchang@eee.hku.hken_HK
dc.identifier.authorityChang, C=rp00095en_HK
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-33747649195en_HK
dc.identifier.volume46en_HK
dc.identifier.issue10en_HK
dc.identifier.spage2848en_HK
dc.identifier.epage2848en_HK
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

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