RECURSIVE METHOD FOR BLIND SOURCE SEPARATION AND ITS APPLICATIONS TO REAL-TIME SEPARATIONS OF ACOUSTIC SIGNALS
Shuxue Ding, Toru Hikichi, Teruo Niitsuma, Masahiro Hamatsu, Kazuyoshi Sugai · 2003
In this paper we propose and investigate a recursive method for blind source separations (BSS) or/and f o r independent component analyses (ICA). The relation of this recursive method of BSS/ICA with the conventional gradient-based method is quite similar to the relation of the RLS method with the LMS method in adaptive filtering. Based on this method we present a novel algorithm for r e a l-time blind source separation of convolutive mixing. When we employ the algorithm to acoustic signals, simulations show a superior rate of convergence over i t s c o u n t e r p a r t o f gradient-based method. By applying the algorithm in a real-time BSS system for realistic acoustic signals, we a l s o give experiments to illustrate the effectiveness and validity of the algorithm. 1.