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Optimized support vector machines for nonstationary signal classification

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4 Author(s)
Davy, Manuel ; Inst. de Recherche en Commun. et Cybernetique de Nantes, France ; Gretton, A. ; Doucet, Arnaud ; Rayner, P.J.W.

This letter describes an efficient method to perform nonstationary signal classification. A support vector machine (SVM) algorithm is introduced and its parameters optimized in a principled way. Simulations demonstrate that our low-complexity method outperforms state-of-the-art nonstationary signal classification techniques.

Published in:

Signal Processing Letters, IEEE  (Volume:9 ,  Issue: 12 )