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 modi cation 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.