New type of self-adaptive blind signal separation algorithm based on feed-forward and feedback neural network

Make use of the self learning ability of neural network to realize blind signal separation has been proved as a efficient method for signal separation. Different neural network model can produce distinct algorithm efficiency. Based on the feed-forward and feedback neural network model, This paper developed a self-adaptive blind source separation algorithm and apply it on the signal separation. The performance of the proposed algorithm is illustrated by theoretics analysis and computer simulation experiments.