Blind extraction of singularly mixed source signals

This paper introduces a novel technique for sequential blind extraction of singularly mixed sources. First, a neural-network model and an adaptive alg orithm for single-source blind extraction ale introduced. Next, extractabil ity analysis is presented for singular mixing matrix, and two sets or neces sary and sufficient extractability conditions are derived. The adaptive alg orithm and neural-network model for sequential blind extraction are then pr esented. The stability of the algorithm is discussed. Simulation results ar e presented to illustrate the validity of the adaptive algorithm and the st ability analysis. The proposed algorithm is suitable for the case of nonsin gular mixing matrix as well as for singular mixing matrix.