Up: Workpage of Harri Valpola
Fast Algorithms for Bayesian Independent Component Analysis
Harri Valpola and Petteri Pajunen
Helsinki University of Technology, Neural Networks Research Centre
P.O.Box 5400, FIN-02015 HUT, Espoo, Finland
E-mail: Harri.Valpola@hut.fi, Petteri.Pajunen@hut.fi
Fast algorithms for linear blind source separation are developed.
The fast convergence is first derived from low-noise approximation of
the EM-algorithm given in [2
], to which a modification is made
that leads as a special case to the FastICA algorithm [5
The modification is given a general interpretation and is applied to
Bayesian blind source separation of noisy signals.