Unsupervised Adaptive Filtering Volume 2 : Blind Deconvolution |  | Creator: Simon Haykin
Publisher: Wiley-Interscience
Category: Book
List Price: $102.50
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Rating:  1 reviews
Media: Hardcover
Edition: 1
Pages: 200
Number Of Items: 1
Shipping Weight (lbs): 0.9
Dimensions (in): 9.3 x 6.4 x 0.8
ISBN: 0471379417
Dewey Decimal Number: 621
EAN: 9780471379416
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Product Description
A complete, one-stop reference on the state of the art 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. Following coverage begun in Volume I: Blind Source Separation, this volume discusses:
* The core of FSE-CMA behavior theory
* Relationships between blind deconvolution and blind source separation
* Blind separation of independent sources based on multiuser kurtosis optimization criteria
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| Customer Reviews:
It's good but difficult to the beginners June 29, 2000
4 out of 7 found this review helpful
It's good for the expert who is eager to find the information. However, it's a little bit difficult for the beginner to read. Instead, I recommend the beginners 'Adaptive filter theory', Haykin.
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