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A Robust Support Vector Algorithm for Nonparametric Spectral Analysis

dc.contributor.authorRojo-Álvarez, José Luis
dc.contributor.authorMartínez Ramón, Manel
dc.contributor.authorFigueiras Vidal, Aníbal R
dc.contributor.authorGarcía Armada, Ana
dc.contributor.authorArtés Rodríguez, Antonio
dc.date.accessioned2009-02-04T19:11:51Z
dc.date.available2009-02-04T19:11:51Z
dc.date.issued2009-02-04T19:11:51Z
dc.identifier.issn1070-9908
dc.identifier.urihttp://hdl.handle.net/10115/1914
dc.description.abstractA new approach to the nonparametric spectral estimation on the basis of the support vector method (SVM) framework is presented. A reweighted least squared error formulation avoids the computational limitations of quadratic programming. The application to a synthetic example and to a digital communication problem shows the robustness of the SVM spectral analysis algorithm.es
dc.language.isoenes
dc.relation.ispartofseriesIEEE Signal Processing Letterses
dc.relation.ispartofseries10(11)es
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectTelecomunicacioneses
dc.titleA Robust Support Vector Algorithm for Nonparametric Spectral Analysises
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.subject.unesco3325 Tecnología de las Telecomunicacioneses
dc.description.departamentoTeoría de la Señal y Comunicaciones


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Atribución-NoComercial-SinDerivadas 3.0 EspañaExcept where otherwise noted, this item's license is described as Atribución-NoComercial-SinDerivadas 3.0 España