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We classify P300 speller paradigm electroencephalogram (EEG) data from publicly available BCI competition III data sets by using multiresolution approximation. We build a scaling-wavelet function pair and its bi-orthogonal complement by resembling the waveform of the scaling function to excitatory post-synaptic potential (EPSP). The approximation(More)
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