A new optimization method for reference-based quadratic contrast functions in a deflation scenario
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[1] Philippe Loubaton,et al. Separation of a class of convolutive mixtures: a contrast function approach , 2001, Signal Process..
[2] Mitsuru Kawamoto,et al. Eigenvector Algorithms Incorporated With Reference Systems for Solving Blind Deconvolution of MIMO-IIR Linear Systems , 2007, IEEE Signal Processing Letters.
[3] Jitendra K. Tugnait,et al. Identification and deconvolution of multichannel linear non-Gaussian processes using higher order statistics and inverse filter criteria , 1997, IEEE Trans. Signal Process..
[4] D. Godard,et al. Self-Recovering Equalization and Carrier Tracking in Two-Dimensional Data Communication Systems , 1980, IEEE Trans. Commun..
[5] Jean-Christophe Pesquet,et al. Quadratic Higher Order Criteria for Iterative Blind Separation of a MIMO Convolutive Mixture of Sources , 2007, IEEE Transactions on Signal Processing.
[6] Nathalie Delfosse,et al. Adaptive blind separation of independent sources: A deflation approach , 1995, Signal Process..