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This paper proposes a specific adaptive algorithm for the blind identification of a two input two output system. Starting from a closed form solution of the blind identification of the system exploiting the temporal coherence properties of the input sources, we present a simplified adaptive implementation of the ASOBI algorithm (Analytical Second Order Blind Identification) to compute a zero forcing second order blind separator with low complexity. Two adaptive versions are provided. Numerical experiments are presented to assess the performance of the proposed algorithms.
blind source separation, adaptive algorithm, covariance matrix, second order statistics, analytical solution.
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