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Conference Paper: Matrix-pencil approach to blind separation of non-white sources in white noise

TitleMatrix-pencil approach to blind separation of non-white sources in white noise
Authors
Issue Date1998
Citation
Icassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings, 1998, v. 4, p. 2485-2488 How to Cite?
AbstractThe problem of blind source separation in additive white 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, many signal sources such as speech with distinct, non-white 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 and yet effective signal extraction method for signal source separation under unknown white noise. This new and unbiased signal extractor is derived from the matrix pencil formed between output auto-correlation matrices at different delays. Simulation examples are presented.
Persistent Identifierhttp://hdl.handle.net/10722/158251
ISSN

 

DC FieldValueLanguage
dc.contributor.authorChang, Chunqien_HK
dc.contributor.authorDing, Zhien_HK
dc.contributor.authorYau, Sze Fongen_HK
dc.contributor.authorChan, Francis HYen_HK
dc.date.accessioned2012-08-08T08:58:44Z-
dc.date.available2012-08-08T08:58:44Z-
dc.date.issued1998en_HK
dc.identifier.citationIcassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings, 1998, v. 4, p. 2485-2488en_US
dc.identifier.issn0736-7791en_HK
dc.identifier.urihttp://hdl.handle.net/10722/158251-
dc.description.abstractThe problem of blind source separation in additive white 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, many signal sources such as speech with distinct, non-white 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 and yet effective signal extraction method for signal source separation under unknown white noise. This new and unbiased signal extractor is derived from the matrix pencil formed between output auto-correlation matrices at different delays. Simulation examples are presented.en_HK
dc.languageengen_US
dc.relation.ispartofICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedingsen_HK
dc.titleMatrix-pencil approach to blind separation of non-white sources in white noiseen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailChang, Chunqi: cqchang@eee.hku.hken_HK
dc.identifier.authorityChang, Chunqi=rp00095en_HK
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-0031643833en_HK
dc.identifier.volume4en_HK
dc.identifier.spage2485en_HK
dc.identifier.epage2488en_HK
dc.identifier.scopusauthoridChang, Chunqi=7407033052en_HK
dc.identifier.scopusauthoridDing, Zhi=7401550510en_HK
dc.identifier.scopusauthoridYau, Sze Fong=7202478362en_HK
dc.identifier.scopusauthoridChan, Francis HY=7202586429en_HK

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