Publication:
Convergence analysis for a class of source separation methods

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dc.conference.dateOCT 27–29, 2011
dc.conference.locationSarajevo, Bosnia and Herzegovina
dc.conference.organizer2011 23rd International Symposium on Information, Communication and Automation Technologies (ICAT 2011)
dc.contributor.departmentDepartment of Electrical and Electronics Engineering
dc.contributor.facultymemberYes
dc.contributor.kuauthorErdoğan, Alper Tunga
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.date.accessioned2024-11-09T23:34:11Z
dc.date.issued2011
dc.description.abstractBlind Source Separation (BSS) is a topic of interest in different fields of information processing with a large span of applications, e.g., in communications, pattern recognition, brain activity monitoring and audio processing. This article reviews some convergence analysis results for parallel BSS algorithms that are used for the simultaneous extraction of sources. The emphasis will be on two major BSS schemes, namely, Indepenent Component Analysis and Bounded Component Analysis. The article underlines the major convergence results regarding these two branches and their connections.
dc.description.indexedbyScopus
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
dc.description.studentonlypublicationNo
dc.description.studentpublicationNo
dc.identifier.WoSQuartileN/A
dc.identifier.doi10.1109/ICAT.2011.6102083
dc.identifier.isbn9781457707469
dc.identifier.scopus2-s2.0-84855829738
dc.identifier.urihttps://doi.org/10.1109/ICAT.2011.6102083
dc.identifier.urihttps://hdl.handle.net/20.500.14288/12302
dc.keywordsBlind source separation
dc.keywordsBounded component analysis
dc.keywordsConvergence analysis
dc.keywordsIndependent component analysis audio processing
dc.keywordsBrain activity
dc.keywordsComponent analysis
dc.keywordsConvergence analysis
dc.keywordsConvergence results
dc.keywordsIndependent components
dc.keywordsLarge span
dc.keywordsSource separation
dc.keywordsBrain
dc.keywordsCommunication
dc.keywordsData processing
dc.keywordsIndependent component analysis
dc.keywordsPattern recognition
dc.keywordsSeparation
dc.keywordsBlind source separation
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers
dc.relation.ispartof2011 23rd International Symposium on Information, Communication and Automation Technologies, ICAT 2011
dc.subjectEngineering
dc.subjectElectrical electronics engineering
dc.subjectComputer science
dc.titleConvergence analysis for a class of source separation methods
dc.typeConference Proceeding
dspace.entity.typePublication
local.contributor.kuauthorErdoğan, Alper Tunga
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