Title :
Improving stability in blind source separation with stochastic median gradient
Author :
Murillo-Fuentes, J.J. ; Gonzalez-Serrano, F.J.
Author_Institution :
Area de Teoria de la Senal y Comunicaciones, Carlos III Univ., Madrid, Spain
fDate :
9/14/2000 12:00:00 AM
Abstract :
A new online learning algorithm is derived for blind separation of mixed signals with symmetric distributions. The stability of the method is analysed and compared with the natural gradient method. It is proved that the set of stability conditions obtained is less stringent. Some experiments are included
Keywords :
learning (artificial intelligence); signal processing; stability; stochastic processes; blind source separation; mixed signals; online learning algorithm; stability conditions; stability improvement; stochastic median gradient; symmetric distributions;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20001157
