| 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.identifier.issn | 1070-9908 | |
| dc.identifier.uri | http://hdl.handle.net/10115/1914 | |
| 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.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.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
| dc.subject | Telecomunicaciones | es |
| dc.title | A Robust Support Vector Algorithm for Nonparametric Spectral Analysis | es |
| dc.type | info:eu-repo/semantics/article | es |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
| dc.subject.unesco | 3325 Tecnología de las Telecomunicaciones | es |
| dc.description.departamento | Teoría de la Señal y Comunicaciones | |
Except where otherwise noted, this item's license is described as Atribución-NoComercial-SinDerivadas 3.0 España