Optimized Support Vector Machines for Nonstationary Signal Classification

Davy, M; Gretton, A; Doucet, A; Rayner, PJW

doi:10.1109/LSP.2002.806070

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Optimized Support Vector Machines for Nonstationary Signal Classification

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https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1159634
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Davy, M., Gretton, A., Doucet, A., & Rayner, P. (2002). Optimized Support Vector Machines for Nonstationary Signal Classification. IEEE Signal Processing Letters, 9(12), 442-445. doi:10.1109/LSP.2002.806070.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-DE28-D

Abstract

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