A Robust Support Vector Algorithm for Nonparametric Spectral Analysis

Rojo-Álvarez, José LuisMartínez Ramón, ManelFigueiras Vidal, Aníbal RGarcía Armada, AnaArtés Rodríguez, Antonio2009-02-042009-02-042009-02-041070-9908http://hdl.handle.net/10115/1914A 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.enAtribución-NoComercial-SinDerivadas 3.0 Españahttp://creativecommons.org/licenses/by-nc-nd/3.0/es/TelecomunicacionesA Robust Support Vector Algorithm for Nonparametric Spectral Analysisinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccess3325 Tecnología de las Telecomunicaciones