Camps Valls, GustavoMartínez Ramón, ManelRojo-Álvarez, José LuisSoria Olivas, Emilio2009-07-232009-07-232009-07-230925-2312http://hdl.handle.net/10115/2490This 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.enAtribución-NoComercial-SinDerivadas 3.0 Españahttp://creativecommons.org/licenses/by-nc-nd/3.0/es/TelecomunicacionesRobust Gamma-filter Using Support Vector Machinesinfo:eu-repo/semantics/article10.1016/j.neucom.2004.07.003info:eu-repo/semantics/openAccess3325 Tecnología de las Telecomunicaciones