Mean square error analyses of adaptive blind source separation algorithms
Xiaoan Sun, S.C. Douglas · 2002
Although several simple and useful adaptive blind source separation algorithms have been developed in the scientific literature, few analyses of their second-order statistical properties have been derived. In this paper, we give the complete details of a procedure for determining the average steady-state mean square error of a blind source separation algorithm. We then apply the procedure to nine existing blind source separation algorithms employing fourth-order separation criteria. Simulation results verify the accuracy of the analysis method.