Unsupervised Adaptive Filtering
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Unsupervised Adaptive Filtering: v. 1(Adaptive and Learning Systems for Signal Processing, Communications and Control Series)

Unsupervised Adaptive Filtering: v. 1(Adaptive and Learning Systems for Signal Processing, Communications and Control Series)

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About the Book

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.

Table of Contents:
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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Product Details
  • ISBN-13: 9780471294122
  • Publisher: John Wiley and Sons Ltd
  • Publisher Imprint: John Wiley & Sons Inc
  • Height: 242 mm
  • Returnable: N
  • Spine Width: 27 mm
  • Weight: 766 gr
  • ISBN-10: 0471294128
  • Publisher Date: 14 Apr 2000
  • Binding: Hardback
  • Language: English
  • Series Title: Adaptive and Learning Systems for Signal Processing, Communications and Control Series
  • Sub Title: v. 1
  • Width: 162 mm


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Unsupervised Adaptive Filtering: v. 1(Adaptive and Learning Systems for Signal Processing, Communications and Control Series)
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