Blind source separation
著者
書誌事項
Blind source separation
（Adaptive and learning systems for signal processing, communications, and control, . Unsupervised adaptive filtering ; 1）
Wiley, c2000
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注記
"A Wiley-Interscience publication."
Includes bibliographical references and index
内容説明・目次
内容説明
Unsupervised adaptive filters let systems respond and adapt automatically to changing conditions without the need for human supervision. With applications to signal processing, information theory, imaging, and remote sensing, among others, this is an area of intense research. This book describes the current state of the art in the field.
目次
- 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.
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