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Optimized support vector machines for nonstationary signal classification

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.
Publication status:
Published

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Publisher copy:
10.1109/LSP.2002.806070

Authors


Gretton, A More by this author
More by this author
Institution:
University of Oxford
Department:
Oxford, MPLS, Statistics
Rayner, PJW More by this author
Journal:
IEEE SIGNAL PROCESSING LETTERS
Volume:
9
Issue:
12
Pages:
442-445
Publication date:
2002-12-05
DOI:
EISSN:
1558-2361
ISSN:
1070-9908
URN:
uuid:8ce60013-29e4-42a5-8680-a97cd38d1020
Source identifiers:
190604
Local pid:
pubs:190604

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