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NPVSS-NLMS 알․고리즘과 온라인 선형 피드백 경로 모델링을 이용한 비선형 능동 소음 제어

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dc.contributor.author서재범-
dc.contributor.author남상원-
dc.date.accessioned2022-12-20T17:48:51Z-
dc.date.available2022-12-20T17:48:51Z-
dc.date.created2022-09-19-
dc.date.issued2010-05-
dc.identifier.issn1229-2443-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/174962-
dc.description.abstractAcoustic feedback and background noise variation can degrade the performance of an active noise control (ANC) system. In this paper, nonlinear ANC using a non-parametric VSS-NLMS (or NPVSS-NLMS) algorithm and online feedback path modeling is proposed, whereby the conventional linear ANC with online acoustic feedback-path modeling is further extended to nonlinear Volterra ANC with a linear acoustic feedback path. In particular, the step-size of the NPVSS-NLMS algorithm is controlled to reduce the effect of background noise variation in the ANC system. Simulation results demonstrate that the proposed approach yields better nonlinear ANC performance compared with the conventional nonlinear ANC method.-
dc.language한국어-
dc.language.isoko-
dc.publisher대한전기학회-
dc.titleNPVSS-NLMS 알․고리즘과 온라인 선형 피드백 경로 모델링을 이용한 비선형 능동 소음 제어-
dc.title.alternativeNonlinear ANC using a NPVSS-NLMS algorithm and online modelling of an acoustic linear feedback path-
dc.typeArticle-
dc.contributor.affiliatedAuthor남상원-
dc.identifier.doi10.5370/KIEE.2010.59.5.1001-
dc.identifier.bibliographicCitation전기학회논문지ABCD, v.59, no.5, pp.1001 - 1004-
dc.relation.isPartOf전기학회논문지ABCD-
dc.citation.title전기학회논문지ABCD-
dc.citation.volume59-
dc.citation.number5-
dc.citation.startPage1001-
dc.citation.endPage1004-
dc.type.rimsART-
dc.identifier.kciidART001444095-
dc.description.journalClass2-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorAcoustic feedback path-
dc.subject.keywordAuthoradaptive Volterra filter-
dc.subject.keywordAuthornonlinear active noise control (ANC)-
dc.identifier.urlhttp://click.ndsl.kr/servlet/OpenAPIDetailView?keyValue=01866548&target=NART&cn=JAKO201016059947661-
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