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The convergence analysis of the complex ica algorithms using symmetric orthogonalization

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dc.conference.dateAPR 20-22, 2008
dc.conference.locationAydin, TURKEY
dc.conference.organizerIEEE 16th Signal Processing and Communications Applications Conference
dc.contributor.departmentDepartment of Electrical and Electronics Engineering
dc.contributor.facultymemberYes
dc.contributor.kuauthorErdoğan, Alper Tunga
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.date.accessioned2024-11-09T23:39:52Z
dc.date.issued2008
dc.description.abstractThe contrast function optimization based independent component analysis is one of the most widespread methods in separating independent sources from their linear mixtures. The convergence analysis of such algorithms, which has both theoretical and practical value, is a current research focus. In this article, we present a convergence analysis for the separation of complex sources via use of these algorithms. Based on this analysis, we provide the characterization of the stationary points of the algorithms using symmetric orthogonalization.
dc.description.fulltextNo
dc.description.harvestedfromManual
dc.description.indexedbyScopus
dc.description.indexedbyWOS
dc.description.openaccessYES
dc.description.peerreviewstatusN/A
dc.description.publisherscopeInternational
dc.description.readpublishN/A
dc.description.sponsoredbyTubitakEuTÜBİTAK
dc.description.sponsorshipThis work was supported by the Scientific and Technological Research Council of Türkiye (TÜBİTAK) under the Career Development Program (KARİYER), Grant No. 104E073.
dc.description.studentonlypublicationNo
dc.description.studentpublicationNo
dc.description.versionN/A
dc.identifier.WoSQuartileN/A
dc.identifier.doi10.1109/SIU.2008.4632563
dc.identifier.embargoN/A
dc.identifier.endpage107
dc.identifier.grantno104E073
dc.identifier.isbn9781424419999
dc.identifier.scopus2-s2.0-56449093930
dc.identifier.startpage104
dc.identifier.urihttps://doi.org/10.1109/SIU.2008.4632563
dc.identifier.urihttps://hdl.handle.net/20.500.14288/13176
dc.identifier.wos000261359200027
dc.keywordsConvergence of numerical methods
dc.keywordsHemodynamics
dc.keywordsOptimization
dc.keywordsSignal processing
dc.keywordsComplex ica
dc.keywordsContrast functions
dc.keywordsConvergence Analysis
dc.keywordsIndependent components
dc.keywordsLinear mixtures
dc.keywordsOrthogonalization
dc.keywordsStationary points
dc.keywordsIndependent component analysis
dc.language.isotur
dc.publisherInstitute of Electrical and Electronics Engineers
dc.relation.affiliationKoç University
dc.relation.collectionKoç University Institutional Repository
dc.relation.ispartof2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU
dc.relation.openaccessN/A
dc.rightsN/A
dc.subjectEngineering
dc.subjectElectrical electronics engineering
dc.subjectTelecommunications
dc.titleThe convergence analysis of the complex ica algorithms using symmetric orthogonalization
dc.title.alternativeSimetrik dikgenleştirme kullanan karmaşik ICA algoritmalarının yakınsama analizi
dc.typeConference Proceeding
dspace.entity.typePublication
local.contributor.kuauthorErdoğan, Alper Tunga
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relation.isOrgUnitOfPublication.latestForDiscovery21598063-a7c5-420d-91ba-0cc9b2db0ea0
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relation.isParentOrgUnitOfPublication.latestForDiscovery8e756b23-2d4a-4ce8-b1b3-62c794a8c164

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