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A robust support vector algorithm for nonparametric spectral analysis

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5 Author(s)
Rojo-Alvarez, J.L. ; Dept. of Signal Theor. & Commun., Univ. Carlos III de Madrid, Leganes, Spain ; Martinez-Ramon, M. ; Figueiras-Vidal, A.R. ; Garcia-Armada, A.
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We present a new approach to nonparametric spectral estimation on the basis of the support vector method (SVM). A reweighted least squares 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.

Published in:

Signal Processing Letters, IEEE  (Volume:10 ,  Issue: 11 )