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Robust Techniques for Sequential Signal Separation

Blind signal separation (BSS) has received much research attention due to its potential applicability in recent decades. A great deal of measurements acquired from practical application show some degree of periodicity. Information theoretic criterion is exploited to deduce an objective function for the separation of periodic signals. Minimizing the objective function with natural gradient descent rule, a novel learning algorithm is proposed correspondingly. Computer simulations on signals with temporal structure illustrate the efficiency of the proposed techniques.