Blind signal separation using ICA
Weidong Zhou, Lei Jia · 2002
In this paper, a steepest descent algorithm for independent component analysis (ICA) is proposed. In contrast to most blind source separation algorithms, the method does not employ higher order statistics. A pre-whitening procedure is performed to de-correlate the sensor (mixed) signals before extracting the vector. The proposed method is verified with computer simulation.