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Cited 5 time in webofscience Cited 7 time in scopus
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Frequency-Domain Volterra Filter Based on Data-Driven Soft Decision for Nonlinear Acoustic Echo Suppression

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dc.contributor.authorPark, Jihwan-
dc.contributor.authorChang, Joon-Hyuk-
dc.date.accessioned2021-08-02T18:29:33Z-
dc.date.available2021-08-02T18:29:33Z-
dc.date.created2021-05-12-
dc.date.issued2014-09-
dc.identifier.issn1070-9908-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/25785-
dc.description.abstractIn this letter, we propose a novel frequency-domain second-order Volterra filter based on soft decision for nonlinear acoustic echo suppression. This letter offers an efficient algorithm for nonlinear echo power estimation using the second-order Volterra filter and an AES algorithm using the estimated nonlinear echo power spectrum within a soft decision baseline by incorporating the ratio of the a priori probability of near-end speech presence and absence, which is obtained by using a data-driven training method.-
dc.language영어-
dc.language.isoen-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.titleFrequency-Domain Volterra Filter Based on Data-Driven Soft Decision for Nonlinear Acoustic Echo Suppression-
dc.typeArticle-
dc.contributor.affiliatedAuthorChang, Joon-Hyuk-
dc.identifier.doi10.1109/LSP.2014.2325644-
dc.identifier.scopusid2-s2.0-84901752206-
dc.identifier.wosid000337149800002-
dc.identifier.bibliographicCitationIEEE SIGNAL PROCESSING LETTERS, v.21, no.9, pp.1088 - 1092-
dc.relation.isPartOfIEEE SIGNAL PROCESSING LETTERS-
dc.citation.titleIEEE SIGNAL PROCESSING LETTERS-
dc.citation.volume21-
dc.citation.number9-
dc.citation.startPage1088-
dc.citation.endPage1092-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.subject.keywordPlusCANCELLATION-
dc.subject.keywordPlusMODEL-
dc.subject.keywordAuthorData-driven training method-
dc.subject.keywordAuthormulti-tap least squares estimator-
dc.subject.keywordAuthornonlinear acoustic echo suppression-
dc.subject.keywordAuthorsoft decision-
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COLLEGE OF ENGINEERING (SCHOOL OF ELECTRONIC ENGINEERING)
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