Optimized support vector machines for nonstationary signal classification

Manuel Davy, Arthur Gretton, Arnaud Doucet, Peter J. W. Rayner

Abstract: 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.