A neural network for blind signal separation
Xieting Ling, Yih-Fang Huang, Rueywen Liu · 2002
An unsupervised neural network is constructed for the problem of blind signal separation. It is designed based on the condition that the outputs of the neural network are independent. A study of the stability of the neural network in the sense of expectation is presented. A stability condition on the system matrix A is obtained. Simulation studies show that this neural network is robust. It can separate two signals with strength ratio 100:1.>