Unsupervised Adaptive Filtering,Volume I: Blind Source Separation
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More About This Title Unsupervised Adaptive Filtering,Volume I: Blind Source Separation
English
Introduction (S. Haykin).
Natural-Gradient Adaptation (S. Douglas & S. Amari).
Blind Signal Separation and Extraction: Neural and Information-Theoretic Approaches (S. Amari, et al.).
Entropic Contrasts for Source Separation: Geometry and Stability (J.-F. Cardoso).
Blind Source Separation: Models, Concepts, Algorithms and Performance (P. Comon & P. Chevalier).
Information Theory, Independent-Component Analysis, and Applications (A. Bell).
Information-Theoretic Learning (J. Principe, et al.).
Blind Separation of Delayed and Convolved Sources (K. Torkkola).
Blind Deconvolution of Multipath Mixtures (R. Lambert & C. Nikias).
Index.
Natural-Gradient Adaptation (S. Douglas & S. Amari).
Blind Signal Separation and Extraction: Neural and Information-Theoretic Approaches (S. Amari, et al.).
Entropic Contrasts for Source Separation: Geometry and Stability (J.-F. Cardoso).
Blind Source Separation: Models, Concepts, Algorithms and Performance (P. Comon & P. Chevalier).
Information Theory, Independent-Component Analysis, and Applications (A. Bell).
Information-Theoretic Learning (J. Principe, et al.).
Blind Separation of Delayed and Convolved Sources (K. Torkkola).
Blind Deconvolution of Multipath Mixtures (R. Lambert & C. Nikias).
Index.
English
"Contributions are by fore-most experts, and provides up-to-date research findings." (IEE Signal Processing Magazine, Vol. 18, No. 1, January 2001)
