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Unsupervised Adaptive Filtering, Volume 1: Blind Source Separation - Like New

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Item specifics

Condition
Like New: A book that looks new but has been read. Cover has no visible wear, and the dust jacket ...
Brand
Unbranded
Book Title
Unsupervised Adaptive Filtering, Volume 1: Blind Source Separati
MPN
Does not apply
ISBN
9780471294122
Subject Area
Technology & Engineering
Publication Name
Unervised Adaptive Filtering-Blind Source Separation
Item Length
9.7 in
Publisher
Wiley & Sons, Incorporated, John
Subject
Signals & Signal Processing, Electrical
Series
Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control Ser.
Publication Year
2000
Type
Textbook
Format
Hardcover
Language
English
Item Height
1.1 in
Author
Simon Haykin
Item Width
6.5 in
Item Weight
27.4 Oz
Number of Pages
446 Pages

About this product

Product Information

A complete, one-stop reference on the state of the act of unsupervised adaptive filtering While unsupervised adaptive filtering has its roots in the 1960s, more recent advances in signal processing, information theory, imaging, and remote sensing have made this a hot area for research in several diverse fields. This book brings together cutting-edge information previously available only in disparate papers and articles, presenting a thorough and integrated treatment of the two major classes of algorithms used in the field, namely, blind signal separation and blind channel equalization algorithms. Divided into two volumes for ease of presentation, this important work shows how these algorithms, although developed independently, are closely related foundations of unsupervised adaptive filtering. Through contributions by the foremost experts on the subject, the book provides an up-to-date account of research findings, explains the underlying theory, and discusses potential applications in diverse fields. More than 100 illustrations as well as case studies, appendices, and references further enhance this excellent resource. Topics in Volume I include: * Neural and information-theoretic approaches to blind signal separation * Models, concepts, algorithms, and performance of blind source separation * Blind separation of delayed and convolved sources * Blind deconvolution of multipath mixtures * Applications of blind source separation Volume II: Blind Deconvolution continues coverage with blind channel equalization and its relationship to blind source separation.

Product Identifiers

Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0471294128
ISBN-13
9780471294122
eBay Product ID (ePID)
424196

Product Key Features

Author
Simon Haykin
Publication Name
Unervised Adaptive Filtering-Blind Source Separation
Format
Hardcover
Language
English
Subject
Signals & Signal Processing, Electrical
Series
Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control Ser.
Publication Year
2000
Type
Textbook
Subject Area
Technology & Engineering
Number of Pages
446 Pages

Dimensions

Item Length
9.7 in
Item Height
1.1 in
Item Width
6.5 in
Item Weight
27.4 Oz

Additional Product Features

LCCN
99-029980
Intended Audience
Scholarly & Professional
Series Volume Number
18
Number of Volumes
2 Vols.
Lc Classification Number
Tk7872.F5u57 2000
Volume Number
Vol. I
Reviews
"Contributions are by fore-most experts, and provides up-to-date research findings." (IEE Signal Processing Magazine, Vol. 18, No. 1, January 2001)
Table of Content
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.
Copyright Date
2000
Illustrated
Yes

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