FAST ALGORITHMS FOR BAYESIAN INDEPENDENT COMPONENT ANALYSIS

Harri Valpola and Petteri Pajunen

Fast algorithms for linear blind source separation are developed. The fast convergence is rst derived from low-noise approximation of the EM-algorithm given in [1], to which a modication is made that leads as a special case to the FastICA algorithm [2]. The modi- cation is given a general interpretation and is applied to Bayesian blind source separation of noisy signals.