Nonlinear Signal Processing: A Statistical ApproachISBN: 978-0-471-67624-9
Hardcover
480 pages
November 2004
This is a Print-on-Demand title. It will be printed specifically to fill your order. Please allow an additional 15-20 days delivery time. The book is not returnable.
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Nonlinear Signal Processing: A Statistical Approach focuses on
unifying the study of a broad and important class of nonlinear
signal processing algorithms which emerge from statistical
estimation principles, and where the underlying signals are
non-Gaussian, rather than Gaussian, processes. Notably, by
concentrating on just two non-Gaussian models, a large set of tools
is developed that encompass a large portion of the nonlinear signal
processing tools proposed in the literature over the past several
decades.
Key features include:
* Numerous problems at the end of each chapter to aid development and understanding
* Examples and case studies provided throughout the book in a wide range of applications bring the text to life and place the theory into context
* A set of 60+ MATLAB software m-files allowing the reader to quickly design and apply any of the nonlinear signal processing algorithms described in the book to an application of interest is available on the accompanying FTP site.
Key features include:
* Numerous problems at the end of each chapter to aid development and understanding
* Examples and case studies provided throughout the book in a wide range of applications bring the text to life and place the theory into context
* A set of 60+ MATLAB software m-files allowing the reader to quickly design and apply any of the nonlinear signal processing algorithms described in the book to an application of interest is available on the accompanying FTP site.