| dc.contributor.author | Camps Valls, Gustavo | |
| dc.contributor.author | Martínez Ramón, Manel | |
| dc.contributor.author | Rojo-Álvarez, José Luis | |
| dc.contributor.author | Soria Olivas, Emilio | |
| dc.date.accessioned | 2009-07-23T09:19:34Z | |
| dc.date.available | 2009-07-23T09:19:34Z | |
| dc.date.issued | 2009-07-23T09:19:34Z | |
| dc.identifier.issn | 0925-2312 | |
| dc.identifier.uri | http://hdl.handle.net/10115/2490 | |
| dc.description.abstract | This Letter presents a new approach to time-series modelling using the support vector machines (SVM). Although the g-filter can provide stability in several time-series models, the SVM is proposed here to provide robustness in the estimation of the g-filter coefficients. Examples in chaotic time-series prediction and channel equalization show the advantages of
the joint SVM g-filter. | es |
| dc.language.iso | en | 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 | Robust Gamma-filter Using Support Vector Machines | es |
| dc.type | info:eu-repo/semantics/article | es |
| dc.identifier.doi | 10.1016/j.neucom.2004.07.003 | 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