Instantaneous MISO separation of BPSK sources
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
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The advantage of the algorithm proposed in this article is that it reduces a convolutive mixture to an instantaneous mixture by using only second-order statistics (but more sensors than sources), Furthermore, the sources can be separated by using any algorithm applicable to an instantaneous mixture. Otherwise, to ensure the convergence of our algorithm, we assume some classical assumptions for blind separation of sources and some added subspace assumptions. Finally, the assumptions concerning the subspace model and their properties are emphasized