METHOD FOR ADAPTIVE COMPLEX WAVELET BASED FILTERING OF EEG SIGNALS

摘要

A method for adaptive filtering of EEG signals in the wavelet domain using a nearly shift-invariant complex wavelet transform. EEG signal data is segmented into a set of K "trials" of M-frames of data each. These trials are overlapped by a number of frames P, where P M. A dual-tree complex wavelet transform is computed for each trial K of EEG signal data. The phase variance of each resulting normalized wavelet coefficient w