Fast Algorithms for Bayesian Independent Component Analysis
نویسنده
چکیده
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 2], to which a modiication is made that leads as a special case to the FastICA algorithm 5]. The modii-cation is given a general interpretation and is applied to Bayesian blind source separation of noisy signals.
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