BLIND SIGNAL SEPARATION OF MULTI-CHANNEL EEG
多通道脑电信号的盲分离

A new method of blind signal separation(BSS) for multi-channel EEG is propo sed, which combines the Wavelet Transform with the independent component analys is (ICA). By using the noise filtering function of wavelet transform, some high-frequency noises were removed from the original EEG, and the original EEG was reconstructed again for the input of ICA. So the defect that ICA is impossible t o distinguish noises from source signals can be overcomed effectively. The expe rimental results show that this method is an effective way to BSS of multi-chan nel EEG.