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Conference Paper: A matrix-pencil approach to blind separation of non-white sourcesin white noise

TitleA matrix-pencil approach to blind separation of non-white sourcesin white noise
Authors
Chang, CDing, ZYau, SFChan, FHY
KeywordsEngineering
Electrical engineering
Issue Date1998
PublisherIEEE.
Citation
IEEE International Conference on Acoustics, Speech and Signal Processing Proceedings, Seattle, WA, USA, 12-15 May 1998, v. 4, p. 2485-2488 How to Cite?
DOI: http://dx.doi.org/10.1109/ICASSP.1998.681655
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. However for 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/10722/46052
ISSN
1520-6149

 

DC FieldValueLanguage
dc.contributor.authorChang, Cen_HK
dc.contributor.authorDing, Zen_HK
dc.contributor.authorYau, SFen_HK
dc.contributor.authorChan, FHYen_HK
dc.date.accessioned2007-10-30T06:41:30Z-
dc.date.available2007-10-30T06:41:30Z-
dc.date.issued1998en_HK
dc.identifier.citationIEEE International Conference on Acoustics, Speech and Signal Processing Proceedings, Seattle, WA, USA, 12-15 May 1998, v. 4, p. 2485-2488en_HK
dc.identifier.issn1520-6149en_HK
dc.identifier.urihttp://hdl.handle.net/10722/46052-
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. However for 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.format.extent362990 bytes-
dc.format.extent13817 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.rights©1998 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.subjectEngineeringen_HK
dc.subjectElectrical engineeringen_HK
dc.titleA matrix-pencil approach to blind separation of non-white sourcesin white noiseen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1520-6149&volume=4&spage=2485&epage=2488&date=1998&atitle=A+matrix-pencil+approach+to+blind+separation+of+non-white+sourcesin+white+noiseen_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/ICASSP.1998.681655en_HK
dc.identifier.scopuseid_2-s2.0-0031643833-
dc.identifier.hkuros34819-
dc.identifier.issnl1520-6149-

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