ADAPTIVE BLIND SOURCE SEPARATION IN ORDER SPECIFIED BY STOCHASTIC PROPERTIES

In adaptive blind source separation, the order of recovered source signals is unpredictable due to order indeterminacy. However, it is sometimes desired that the reconstructed source signals be arranged in specified order according to their stochastic properties. To this end, some unsymmetry is introduced to the equilibrium point, and a new unsymmetrical natural gradient algorithm is proposed, which can separate the source signals in desired order. The validity of the proposed algorithm is confirmed through extensive computer simulations.