A robust support vector algorithm for nonparametric spectral analysis

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.

Año de publicación:

2003

Keywords:

• Weighted least squares
• Welch periodogram
• Support vector method
• Spectral Analysis

Fuente:

scopus