A new composite criterion for adaptive and iterative blind source separation
作者： J.-F. Cardoso , A. Belouchrani , B. Laheld
DOI: 10.1109/ICASSP.1994.389822
关键词:
摘要: When n independent random signals are mixed by an unknown m/spl times/n matrix, the task of recovering original from their mixtures is called blind source separation. The article introduces two simple separation algorithms. first one adaptive, second iterative. Both work indifferently with complex or real and use estimation equation involving 2nd-order higher-order information. A key feature that resulting performance mixing matrix in noiseless case. Simulations also indicate absence ill convergence. >
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