A Recurrent Neural Filter for Adaptive Noise Cancellation

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dc.conference.informationInnsbruck, Austria, February 13-16, 2006el
dc.conference.name24th IASTED International multi Conference on Artificial Intelligence and Applicationsel
dc.contributor.authorMastorocostas, Paris A.
dc.contributor.authorVarsamis, Dimitris N.
dc.contributor.authorMastorocostas, Constantinos A.
dc.contributor.authorHilas, Constantinos S.
dc.date.accessioned2015-06-30T21:11:32Z
dc.date.accessioned2024-09-27T18:13:06Z
dc.date.available2015-06-30T21:11:32Z
dc.date.available2024-09-27T18:13:06Z
dc.date.issued2006
dc.description.abstractThis paper presents a dynamic neural filter for adaptive noise cancellation. The cancellation task is transformed to a system-identification problem, which is tackled by use of the Block-Diagonal Recurrent Neural Network. The filter is applied to a benchmark noise cancellation problem, where a comparative analysis with a series of other dynamic models is conducted, underlining the effectiveness of the proposed filter and its superior performance over its competing rivals.en
dc.format.extent6el
dc.identifier.otherhttp://www.teicm.gr/arximidis/pdf/MASTOROKOSTAS/mastorocostas_5.pdfel
dc.identifier.urihttps://repository2024.ihu.gr/handle/123456789/1572
dc.language.isoenel
dc.publication.categoryΑντίγραφο του συγγραφέα (Author's copy)el
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Διεθνές*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subject.keywordBlock-diagonal recurrent networksel
dc.subject.keywordAdaptive noise cancellationel
dc.titleA Recurrent Neural Filter for Adaptive Noise Cancellationen
dc.typeΆρθρο σε επιστημονικό συνέδριοel

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