Blind Source Separation Using Time-Frequency Masking

dc.contributor.authorMohammed, Abbas
dc.contributor.authorBallal, Tarig
dc.contributor.authorGrbic, Nedelko
dc.coverage.issue4cs
dc.coverage.volume16cs
dc.date.accessioned2016-03-24T06:45:00Z
dc.date.available2016-03-24T06:45:00Z
dc.date.issued2007-12cs
dc.description.abstractIn blind source separation (BSS), multiple mixtures acquired by an array of sensors are processed in order to recover the initial multiple source signals. While a variety of Independent Component Analysis (ICA)-based techniques are being used, in this paper we used a newly proposed method: The Degenerate Unmixing and Estimation Technique (DUET). The method applies when sources are W-disjoint orthogonal; that is, when the time-frequency representations, of any two signals in the mixtures are disjoint sets. The method uses an online algorithm to perform gradient search for the mixing parameters, and simultaneously construct binary time-frequency masks that are used to partition one of the mixtures to recover the original source signals. Previous studies have demonstrated the robustness of the method. However, the investigation in this paper reveals significant drawbacks associated with the technique which should be addressed in the future.en
dc.formattextcs
dc.format.extent96-100cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 2007, vol. 16, č. 4, s. 96-100. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/57331
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/2007/07_04_096_100.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectBlind source separationen
dc.subjectDUETen
dc.subjectTime-frequency maskingen
dc.titleBlind Source Separation Using Time-Frequency Maskingen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
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