Improving stability in blind source separation with stochastic median gradient
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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.
[1] Andrzej Cichocki,et al. Stability Analysis of Learning Algorithms for Blind Source Separation , 1997, Neural Networks.
[2] Shun-ichi Amari,et al. Natural Gradient Works Efficiently in Learning , 1998, Neural Computation.