Fast Tracking RLS Adaptation Algorithms of the Second-Order Volterra Digital Filters

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dc.contributor.authorVasko, J.
dc.contributor.authorKocur, D.
dc.coverage.issue1cs
dc.coverage.volume4cs
dc.date.accessioned2016-05-06T11:45:47Z
dc.date.available2016-05-06T11:45:47Z
dc.date.issued1995-04cs
dc.description.abstractTwo new fast tracking exponentially weighted conventional recursive least-squares (RLS) algorithms of adaptation of the adaptive Volterra filters (AVF) for time-varying systems are presented. The new algorithms are based on a modification of a priciple of variable forgetting factor with unity zone [1]. Their additional computational complexity due to the forgetting factor adaptation is negligible compared to that of conventional RLS algorithms. The performance properties of the proposed algorithms are verified via computer experiments.en
dc.formattextcs
dc.format.extent22-27cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 1995, vol. 4, č. 1, s. 22-27. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/58451
dc.language.isoencs
dc.publisherRadioengineering Societycs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/1995/95_01_05.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectvolterra filtersen
dc.subjectadaptive filtersen
dc.subjectTLS algorithmsen
dc.subjectforgetting factor adaptationen
dc.titleFast Tracking RLS Adaptation Algorithms of the Second-Order Volterra Digital Filtersen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta elektrotechniky a komunikačních technologiícs

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