Blind separation algorithm without nonlinear functions

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dc.contributor.authorEom, Kwang-Seopko
dc.contributor.authorLim, Bin-Cheolko
dc.contributor.authorPark, Dong-Joko
dc.date.accessioned2013-03-02T21:36:28Z-
dc.date.available2013-03-02T21:36:28Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued1996-02-
dc.identifier.citationELECTRONICS LETTERS, v.32, no.3, pp.165 - 166-
dc.identifier.issn0013-5194-
dc.identifier.urihttp://hdl.handle.net/10203/75647-
dc.description.abstractA new blind separation algorithm without nonlinear functions is proposed. The algorithm is derived using the decorrelation process near an equilibrium point. The algorithm uses the correlation between its outputs and the sensor signals in the decorrelation process. The validity and performance of the algorithm are confirmed through computer simulations.-
dc.languageEnglish-
dc.publisherIEE-INST ELEC ENG-
dc.titleBlind separation algorithm without nonlinear functions-
dc.typeArticle-
dc.identifier.wosidA1996UL76800016-
dc.identifier.scopusid2-s2.0-0030083902-
dc.type.rimsART-
dc.citation.volume32-
dc.citation.issue3-
dc.citation.beginningpage165-
dc.citation.endingpage166-
dc.citation.publicationnameELECTRONICS LETTERS-
dc.contributor.localauthorPark, Dong-Jo-
dc.contributor.nonIdAuthorEom, Kwang-Seop-
dc.contributor.nonIdAuthorLim, Bin-Cheol-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorsignal processing-
dc.subject.keywordAuthorneural networks-
dc.subject.keywordAuthorlearning systems-
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EE-Journal Papers(저널논문)
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