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Convergence Characteristics of the Normalized Blind Equalization Algorithm

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dc.contributor.author이광석-
dc.date.accessioned2022-12-27T04:23:56Z-
dc.date.available2022-12-27T04:23:56Z-
dc.date.issued2010-
dc.identifier.issn2234-8255-
dc.identifier.issn2234-8883-
dc.identifier.urihttps://scholarworks.gnu.ac.kr/handle/sw.gnu/25376-
dc.description.abstractWe derived Stop-and-go normalized DD, dual-mode normalized Sato, dual-mode NCMA blind equalization algorithm for complex data in this research. And then, the convergence characteristics of the proposed SG-NDD, dual-mode NSato blind equalization algorithms are compared with those of SG-DD, dual-mode Sato algorithms. In general, the normalized blind equalization algorithms have better convergence characteristics than the conventional algorithms.-
dc.format.extent4-
dc.language영어-
dc.language.isoENG-
dc.publisher한국정보통신학회-
dc.titleConvergence Characteristics of the Normalized Blind Equalization Algorithm-
dc.title.alternativeConvergence Characteristics of the Normalized Blind Equalization Algorithm-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.bibliographicCitationJournal of Information and Communication Convergence Engineering, v.8, no.2, pp 136 - 139-
dc.citation.titleJournal of Information and Communication Convergence Engineering-
dc.citation.volume8-
dc.citation.number2-
dc.citation.startPage136-
dc.citation.endPage139-
dc.identifier.kciidART001442880-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorConvergence characteristics of blind equalization algorithm-
dc.subject.keywordAuthorStop-and-go normalized DD-
dc.subject.keywordAuthordual-mode NCMA blind equalization algorithm-
dc.subject.keywordAuthorSato algorithm-
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