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An extended family of bounded component analysis algorithms

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dc.contributor.departmentDepartment of Electrical and Electronics Engineering
dc.contributor.departmentN/A
dc.contributor.kuauthorErdoğan, Alper Tunga
dc.contributor.kuauthorİnan, Hüseyin Atahan
dc.contributor.kuprofileFaculty Member
dc.contributor.kuprofileMaster Student
dc.contributor.otherDepartment of Electrical and Electronics Engineering
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteGraduate School of Sciences and Engineering
dc.contributor.yokid41624
dc.contributor.yokidN/A
dc.date.accessioned2024-11-10T00:10:56Z
dc.date.issued2015
dc.description.abstractBounded Component Analysis (BCA) is a recent concept proposed as an alternative method for Blind Source Separation problem. BCA enables the separation of dependent as well as independent sources from their mixtures under the practical assumption on source boundedness. This article extends the optimization setting of a recent BCA approach which can be used to produce a variety of BCA algorithms. The article also provides examples of objective functions and the corresponding iterative algorithms. The numerical examples illustrate the advantages of proposed BCA examples regarding the correlated source separation capability over the state of the art ICA based approaches. 1 © 2014 IEEE.
dc.description.indexedbyScopus
dc.description.indexedbyWoS
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuTÜBİTAK
dc.description.volume2015-April
dc.identifier.doi10.1109/ACSSC.2014.7094481
dc.identifier.isbn9781-4799-8297-4
dc.identifier.issn1058-6393
dc.identifier.linkhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84940468452anddoi=10.1109%2fACSSC.2014.7094481andpartnerID=40andmd5=79236df1a37be98cc4657efea9f34356
dc.identifier.quartileN/A
dc.identifier.scopus2-s2.0-84940468452
dc.identifier.urihttp://dx.doi.org/10.1109/ACSSC.2014.7094481
dc.identifier.urihttps://hdl.handle.net/20.500.14288/17379
dc.identifier.wos370964900079
dc.keywordsBlind source separation
dc.keywordsBounded component analysis
dc.keywordsDependent component analysis
dc.keywordsIndependent component analysis
dc.keywordsIterative methods
dc.keywordsBounded Component Analysis
dc.keywordsBoundedness
dc.keywordsCorrelated sources
dc.keywordsDependent Component Analysis
dc.keywordsIndependent sources
dc.keywordsIterative algorithm
dc.keywordsObjective functions
dc.keywordsState of the art
dc.keywordsBlind source separation
dc.languageEnglish
dc.publisherIEEE Computer Society
dc.sourceConference Record - Asilomar Conference on Signals, Systems and Computers
dc.subjectEngineering
dc.subjectElectrical electronics engineering
dc.titleAn extended family of bounded component analysis algorithms
dc.typeConference proceeding
dspace.entity.typePublication
local.contributor.authorid0000-0003-0876-2897
local.contributor.authoridN/A
local.contributor.kuauthorErdoğan, Alper Tunga
local.contributor.kuauthorİnan, Hüseyin Atahan
relation.isOrgUnitOfPublication21598063-a7c5-420d-91ba-0cc9b2db0ea0
relation.isOrgUnitOfPublication.latestForDiscovery21598063-a7c5-420d-91ba-0cc9b2db0ea0

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