Publication:
Sparse bounded component analysis for convolutive mixtures

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dc.contributor.departmentN/A
dc.contributor.departmentDepartment of Electrical and Electronics Engineering
dc.contributor.departmentDepartment of Electrical and Electronics Engineering
dc.contributor.kuauthorBabataş, Eren
dc.contributor.kuauthorErdoğan, Alper Tunga
dc.contributor.kuprofilePhD Student
dc.contributor.kuprofileFaculty Member
dc.contributor.schoolcollegeinstituteGraduate School of Sciences and Engineering
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.yokidN/A
dc.contributor.yokid41624
dc.date.accessioned2024-11-10T00:07:35Z
dc.date.issued2018
dc.description.abstractIn this article, we propose a Bounded Component Analysis (BCA) approach for the separation of the convolutive mixtures of sparse sources. The corresponding algorithm is derived from a geometric objective function defined over a completely deterministic setting. Therefore, it is applicable to sources which can be independent or dependent in both space and time dimensions. We show that all global optima of the proposed objective are perfect separators. We also provide numerical examples to illustrate the performance of the algorithm.
dc.description.indexedbyWoS
dc.description.indexedbyScopus
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.description.sponsorshipThe Institute of Electrical and Electronics Engineers Signal Processing Society
dc.description.volume2018-April
dc.identifier.doi10.1109/ICASSP.2018.8462568
dc.identifier.isbn9781-5386-4658-8
dc.identifier.issn1520-6149
dc.identifier.linkhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85054262969&doi=10.1109%2fICASSP.2018.8462568&partnerID=40&md5=5ad83e32fac51b1b4f4577cf70577d18
dc.identifier.scopus2-s2.0-85054262969
dc.identifier.urihttp://dx.doi.org/10.1109/ICASSP.2018.8462568
dc.identifier.urihttps://hdl.handle.net/20.500.14288/16807
dc.identifier.wos446384602181
dc.keywordsBounded component analysis
dc.keywordsConvolutive blind source separation
dc.keywordsSparse bounded component analysis
dc.languageEnglish
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.sourceICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
dc.subjectAcoustics
dc.subjectElectrical electronics engineering
dc.titleSparse bounded component analysis for convolutive mixtures
dc.typeConference proceeding
dspace.entity.typePublication
local.contributor.authoridN/A
local.contributor.authorid0000-0003-0876-2897
local.contributor.kuauthorBabataş, Eren
local.contributor.kuauthorErdoğan, Alper Tunga
relation.isOrgUnitOfPublication21598063-a7c5-420d-91ba-0cc9b2db0ea0
relation.isOrgUnitOfPublication.latestForDiscovery21598063-a7c5-420d-91ba-0cc9b2db0ea0

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