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A Novel Criterion of Wavelet Packet Best Basis Selection for Signal Classification With Application to Brain–Computer Interfaces

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4 Author(s)
Vautrin, D. ; Inst. de Rech. en Commun. et Cybernetique de Nantes (IRCCyN), Nantes, France ; Artusi, X. ; Lucas, M.-F. ; Farina, D.

This study proposes a method to select a wavelet basis for classification. It uses a strategy defined by Wickerhauser and Coifman and proposes a new additive criterion describing the contrast between classes. Its performance is compared with other approaches on simulated signals and on experimental EEG signals for brain-computer interface applications.

Published in:

Biomedical Engineering, IEEE Transactions on  (Volume:56 ,  Issue: 11 )

Date of Publication:

Nov. 2009

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