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In this communication, the problem of blind sources separation is considered. Many solutions have been brought to that problem, among which the method recently introduced in , that consists in joint-diagonalizing a combined set of “spatial t-ƒ distributions (stƒd)” matrices. In , we have introduced new criteria of selection of the t-ƒ points to use in the building of matrices sets to joint-diagonalize or to anti joint-diagonalize. As these criteria are no more sufficient in the noisy case, new constraints are introduced in the shape of thresholds (calculated both by Bayesian and Neyman-Pearson approaches) leading to new criteria of selection of the matrices sets. Performance studies on these new algorithms are proposed versus SNR and computer simulations are provided.
Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference on (Volume:2 )
Date of Conference: 13-17 May 2002