Analogue neuro-chip with on-chip learning capability for adaptive nonlinear equalisers

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dc.contributor.authorCho, JWko
dc.contributor.authorLee, Soo-Youngko
dc.date.accessioned2013-03-02T17:09:50Z-
dc.date.available2013-03-02T17:09:50Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued1997-10-
dc.identifier.citationELECTRONICS LETTERS, v.33, no.22, pp.1886 - 1887-
dc.identifier.issn0013-5194-
dc.identifier.urihttp://hdl.handle.net/10203/74627-
dc.description.abstractModular neuro-chip sets with an on-chip learning capability are applied to adaptive nonlinear equalisers for mobile communication receivers. Using a multilayer perceptron with a decision feedback architecture is successful for equalising not only minimum phase channels but also nonminimum phase channels.-
dc.languageEnglish-
dc.publisherIEE-INST ELEC ENG-
dc.titleAnalogue neuro-chip with on-chip learning capability for adaptive nonlinear equalisers-
dc.typeArticle-
dc.identifier.wosid000072041500040-
dc.identifier.scopusid2-s2.0-0031250175-
dc.type.rimsART-
dc.citation.volume33-
dc.citation.issue22-
dc.citation.beginningpage1886-
dc.citation.endingpage1887-
dc.citation.publicationnameELECTRONICS LETTERS-
dc.contributor.localauthorLee, Soo-Young-
dc.contributor.nonIdAuthorCho, JW-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorneural chips-
dc.subject.keywordAuthorneural networks-
dc.subject.keywordAuthorlearning systems-
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EE-Journal Papers(저널논문)
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