Abstract
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This paper proposes new neural network approaches for separating and restoring signals mixed through FIR channels. Firstly, a set of maximal entropy based train rules are developed. Secondly, a new scheme for restoring the original signals is proposed for the 2×2 case. Computer simulation results for speech signals are presented to verify the proposed approaches.