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A novel criterion of wavelet packet best basis selection for signal classification with application to brain-computer
Denis Vautrin1, Xavier Artusi, Marie-Françoise Lucas
1Institut de Recherche en Communication et Cybernétique de Nantes, Centrale Nantes, Nantes 44321, France.
IEEE Transactions on Bio-Medical Engineering
|August 5, 2009
Abstract:
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.

