A Kind of Neural Network Model for Blind Separation of Singularly Mixed Sources
Yuanqing Li · Control theory & applications · 2001
Blind separation of sources is a problem arising in many practical fields, which is difficult to research. In the existing references, the mixing matrix of sources is always supposed to be nonsingular. This paper presents an algorithm and a corresponding networks to deal with blind separation of sources in the case of singular mixing matrix.