Adaptive blind signal and image processing : learning algorithms and applications / Andrzej Cichocki, Shun-ichi Amari.

By: Cichocki, AndrzejContributor(s): Amari, Shun?ichiPublisher: Chichester ; New York : J. Wiley, c2002Description: xxxi, 554 p. : ill. ; 25 cm. + 1 CD-ROM (4 3/4 in.)ISBN: 0471607916 (alk. paper)Subject(s): Algorithms | Telecommunication engineering | (Include CD)DDC classification: 621.38221,CIC Online resources: Publisher description | Table of contents
Contents:
Introduction to Blind Signal Processing: Problems and Applications (Page-1), Solving a System of Algebraic Equations and Related Problems (Page-43), Principal/Minor Component Analysis and Related Problems (Page-87), Blind Decorreclation and SOS for Robust Blind Identification (Page-129), Statistical Signal Processing Approach to Blind Signal Extraction (Page-177), Natural Gradient Approach to Independent Component Analysis (Page-231), Locally Adaptive Algorithms for ICA and their Implementations (Page-273), Robust Techniques for BSS and ICA with Noisy Data (Page-305), Multichannel Blind Deconvolution: natural Gradient Approach (Page-335).
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Item type Current location Home library Shelving location Call number URL Status Notes Date due Barcode Item holds
Reference Reference Military College of Signals (MCS)
Military College of Signals (MCS)
Reference 621.3822,CIC (Browse shelf) Link to resource Not for loan Almirah No.22, Shelf No.6 MCS30624
Total holds: 0

Introduction to Blind Signal Processing: Problems and Applications (Page-1), Solving a System of Algebraic Equations and Related Problems (Page-43), Principal/Minor Component Analysis and Related Problems (Page-87), Blind Decorreclation and SOS for Robust Blind Identification (Page-129), Statistical Signal Processing Approach to Blind Signal Extraction (Page-177), Natural Gradient Approach to Independent Component Analysis (Page-231), Locally Adaptive Algorithms for ICA and their Implementations (Page-273), Robust Techniques for BSS and ICA with Noisy Data (Page-305), Multichannel Blind Deconvolution: natural Gradient Approach (Page-335).

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