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College of Engineering(공과대학)Cho Chun Shik Graduate School for Mobility(조천식모빌리티대학원)GT-Journal Papers(저널논문)

A robust recursive least square algorithm against impulsive noise

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dc.contributor.authorBaek, SJko
dc.contributor.authorKim, Jko
dc.contributor.authorKim, DJko
dc.contributor.authorHar, Dongsooko
dc.contributor.authorKim, Kko
dc.date.accessioned2019-04-15T16:32:13Z-
dc.date.available2019-04-15T16:32:13Z-
dc.date.created2013-05-08-
dc.date.issued2004-09-
dc.identifier.citationIEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, v.E87A, no.9, pp.2463 - 2465-
dc.identifier.issn0916-8508-
dc.identifier.urihttp://hdl.handle.net/10203/255894-
dc.description.abstractIn this paper, we propose a robust adaptive algorithm for impulsive noise suppression. The perturbation of the input signal as well as the perturbation of the estimation error are restricted by M-estimation. The threshold used in M-estimation is obtained from the proposed adaptive variance estimation. Simulations show that the proposed algorithm is less vulnerable to the impulsive noise than the conventional algorithm.-
dc.languageEnglish-
dc.publisherIEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG-
dc.subjectFORGETTING FACTOR-
dc.subjectSPEECH ANALYSIS-
dc.titleA robust recursive least square algorithm against impulsive noise-
dc.typeArticle-
dc.identifier.wosid000223794100037-
dc.identifier.scopusid2-s2.0-5444240307-
dc.type.rimsART-
dc.citation.volumeE87A-
dc.citation.issue9-
dc.citation.beginningpage2463-
dc.citation.endingpage2465-
dc.citation.publicationnameIEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES-
dc.contributor.localauthorHar, Dongsoo-
dc.contributor.nonIdAuthorBaek, SJ-
dc.contributor.nonIdAuthorKim, J-
dc.contributor.nonIdAuthorKim, DJ-
dc.contributor.nonIdAuthorKim, K-
dc.type.journalArticleLetter-
dc.subject.keywordAuthorM-estimation-
dc.subject.keywordAuthorrobust adaptive algorithm-
dc.subject.keywordPlusFORGETTING FACTOR-
dc.subject.keywordPlusSPEECH ANALYSIS-
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GT-Journal Papers(저널논문)
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