A blind separation algorithm for weak signal extraction
Hua Li, Chao Hou · Applied Acoustics · 2009
A blind separation algorithm for weak signal extraction is proposed.This algorithm is based on the natural gradient algorithm but in addition supervises the quality of separation to estimate the activation function automatically on noting the correlation of two signals.Mixed super-Gaussian and sub-Gaussian signals of which one is strong and the other is weak are separated successfully.The simulation shows that this algorithm converges relatively precisely and quickly.