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Support Vector Robust Algorithms for Non-parametric Spectral Analysis

dc.contributor.authorRojo-Álvarez, José Luis
dc.contributor.authorGarcía Alberola, A
dc.contributor.authorMartínez Ramón, Manel
dc.contributor.authorValdés, M
dc.contributor.authorFigueiras Vidal, Aníbal R
dc.contributor.authorArtés Rodríguez, A
dc.date.accessioned2009-07-23T12:10:46Z
dc.date.available2009-07-23T12:10:46Z
dc.date.issued2009-07-23T12:10:46Z
dc.identifier.urihttp://hdl.handle.net/10115/2502
dc.description.abstractA new approach to the non-parametric spectral estimation on the basis of the Support Vector (SV) framework is presented. Two algorithms are derived for both uniform and non-uniform sampling. The relationship between the SV free parameters and the underlying process statistics is discussed. The application in two real data examples, the sunspot numbers and the Heart Rate Variability, shows the higher resolution and robustness in SV spectral analysis algorithmses
dc.language.isoenes
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectTelecomunicacioneses
dc.titleSupport Vector Robust Algorithms for Non-parametric Spectral Analysises
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
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