Adaptive blind source separation using weighted sums of two kinds of nonlinear functions

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dc.contributor.authorIhm, Bin-Chulko
dc.contributor.authorPark, Dong-Joko
dc.contributor.authorKwon, Young-Hyunko
dc.date.accessioned2013-03-04T18:50:50Z-
dc.date.available2013-03-04T18:50:50Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2001-05-
dc.identifier.citationIEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, v.E84D, no.5, pp.672 - 674-
dc.identifier.issn0916-8532-
dc.identifier.urihttp://hdl.handle.net/10203/83701-
dc.description.abstractWe propose a new intelligent blind source separation algorithm for the mixture of sub-Gaussian and super-Gaussian sources. The algorithm consists of an update equation of the separating matrix and an adjustment equation of nonlinear functions. To verify the validity of the proposed algorithm, we compare the proposed algorithm with extant methods.-
dc.languageEnglish-
dc.publisherIEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG-
dc.titleAdaptive blind source separation using weighted sums of two kinds of nonlinear functions-
dc.typeArticle-
dc.identifier.wosid000168658700014-
dc.identifier.scopusid2-s2.0-0035338212-
dc.type.rimsART-
dc.citation.volumeE84D-
dc.citation.issue5-
dc.citation.beginningpage672-
dc.citation.endingpage674-
dc.citation.publicationnameIEICE TRANSACTIONS ON INFORMATION AND SYSTEMS-
dc.contributor.localauthorPark, Dong-Jo-
dc.contributor.nonIdAuthorIhm, Bin-Chul-
dc.contributor.nonIdAuthorKwon, Young-Hyun-
dc.type.journalArticleLetter-
dc.subject.keywordAuthorblind source separation-
dc.subject.keywordAuthorsub-Gaussian-
dc.subject.keywordAuthorsuper-Gaussian-
dc.subject.keywordAuthorweighted sum of nonlinear functions-
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EE-Journal Papers(저널논문)
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