Nonlinear Signal Processing: A Statistical Approach

Nonlinear Signal Processing: A Statistical Approach

Author(s): Gonzalo R. Arce

Published Online: 27 JAN 2005

Print ISBN: 9780471676249

Online ISBN: 9780471691853

DOI: 10.1002/0471691852

About this Book

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.

Table of contents

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