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dc.contributor.authorVasko, J.
dc.contributor.authorKocur, D.
dc.date.accessioned2016-05-06T11:45:47Z
dc.date.available2016-05-06T11:45:47Z
dc.date.issued1995-04cs
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.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.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
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.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
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
dc.coverage.issue1cs
dc.coverage.volume4cs
dc.rights.accessopenAccessen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


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Except where otherwise noted, this item's license is described as Creative Commons Attribution 3.0 Unported License