A Robust Support Vector Algorithm for Nonparametric Spectral Analysis
Archivos
Fecha
2009-02-04T19:11:51Z
Título de la revista
ISSN de la revista
Título del volumen
Editor
Enlace externo
Resumen
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.