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Conference Paper: Blind separation of convolutive mixtures based on second order and third order statistics

TitleBlind separation of convolutive mixtures based on second order and third order statistics
Authors
KeywordsEngineering
Electrical engineering
Issue Date2003
PublisherIEEE.
Citation
Icassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings, 2003, v. 5, p. 305-308 How to Cite?
AbstractThis paper addresses the problem of blind separation of linear convolutive mixtures. We first reformulate the problem into a blind separation of linear instantaneous mixtures, and then a statistical approach is applied to solve the reformulated problem. From the statistics of the mixtures, two kinds of matrix pencils are constructed to estimate the mixing matrix. The original sources are then separated with the estimated mixing matrix. For the purpose of computational efficiency and robustness, in the matrix pencil, one matrix is constructed from the second order statistics, and the other is constructed from the third order statistics. The proposed novel methods do not require the exact knowledge of the channel order. Simulation results show that the methods are robust and have good performance.
Persistent Identifierhttp://hdl.handle.net/10722/46384
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorYe, Zen_HK
dc.contributor.authorChang, Cen_HK
dc.contributor.authorWang, Cen_HK
dc.contributor.authorZhao, Jen_HK
dc.contributor.authorChan, FHYen_HK
dc.date.accessioned2007-10-30T06:48:43Z-
dc.date.available2007-10-30T06:48:43Z-
dc.date.issued2003en_HK
dc.identifier.citationIcassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings, 2003, v. 5, p. 305-308en_HK
dc.identifier.issn0736-7791en_HK
dc.identifier.urihttp://hdl.handle.net/10722/46384-
dc.description.abstractThis paper addresses the problem of blind separation of linear convolutive mixtures. We first reformulate the problem into a blind separation of linear instantaneous mixtures, and then a statistical approach is applied to solve the reformulated problem. From the statistics of the mixtures, two kinds of matrix pencils are constructed to estimate the mixing matrix. The original sources are then separated with the estimated mixing matrix. For the purpose of computational efficiency and robustness, in the matrix pencil, one matrix is constructed from the second order statistics, and the other is constructed from the third order statistics. The proposed novel methods do not require the exact knowledge of the channel order. Simulation results show that the methods are robust and have good performance.en_HK
dc.format.extent218726 bytes-
dc.format.extent4066 bytes-
dc.format.extent13817 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.relation.ispartofICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedingsen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©2003 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.en_HK
dc.subjectEngineeringen_HK
dc.subjectElectrical engineeringen_HK
dc.titleBlind separation of convolutive mixtures based on second order and third order statisticsen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1520-6149&volume=5&spage=V305&epage=V308&date=2003&atitle=Blind+Separation+of+convolutive+mixtures+based+on+second+order+and+third+order+statisticsen_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.scopuseid_2-s2.0-0141743695en_HK
dc.identifier.hkuros82045-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0141743695&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume5en_HK
dc.identifier.spage305en_HK
dc.identifier.epage308en_HK
dc.identifier.scopusauthoridYe, Z=7401957018en_HK
dc.identifier.scopusauthoridChang, C=7407033052en_HK
dc.identifier.scopusauthoridWang, C=8416533100en_HK
dc.identifier.scopusauthoridZhao, J=7410311716en_HK
dc.identifier.scopusauthoridChan, FHY=7202586429en_HK

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