A Robust Support Vector Algorithm for Nonparametric Spectral Analysis

dc.contributor.author	Rojo-Álvarez, José Luis
dc.contributor.author	Martínez Ramón, Manel
dc.contributor.author	Figueiras Vidal, Aníbal R
dc.contributor.author	García Armada, Ana
dc.contributor.author	Artés Rodríguez, Antonio
dc.date.accessioned	2009-02-04T19:11:51Z
dc.date.available	2009-02-04T19:11:51Z
dc.date.issued	2009-02-04T19:11:51Z
dc.description.abstract	A 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.description.departamento	Teoría de la Señal y Comunicaciones
dc.identifier.issn	1070-9908
dc.identifier.uri	http://hdl.handle.net/10115/1914
dc.language.iso	en	es
dc.relation.ispartofseries	IEEE Signal Processing Letters	es
dc.relation.ispartofseries	10(11)	es
dc.rights	Atribución-NoComercial-SinDerivadas 3.0 España	*
dc.rights.accessRights	info:eu-repo/semantics/openAccess	es
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/es/	*
dc.subject	Telecomunicaciones	es
dc.subject.unesco	3325 Tecnología de las Telecomunicaciones	es
dc.title	A Robust Support Vector Algorithm for Nonparametric Spectral Analysis	es
dc.type	info:eu-repo/semantics/article	es

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