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Home > Science & Nature > History > Nonlinear Signal Processing: A Statistical Approach
5 out of 5 stars

1 Review(s)
Nonlinear Signal Processing: A Statistical Approach
by Arce, Gonzalo R.
 
 
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Nonlinear Signal Processing: A Statistical Approach
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.


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Title of ebook: Nonlinear Signal Processing: A Statistical Approach
ISBN: 9780471691846
parent-ISBN: 9780471676249
Publisher: Wiley-Interscience
Internet download file size: 20660 kb
Pages: 459
Published: 12-2004
Released online for download: 12-20-2004
Author of eBook: Arce, Gonzalo R.
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Title: Nonlinear Signal Processing: A Statistical Approach
Avg. Customer Review: 5 out of 5 stars
Number Of Comments:
1 Review(s)
137 of 215 people found the following eBook review helpful:
5 out of 5 stars Good stuff 11/26/2005
Reviewer: A viewer from usa
In addition to a very good coverage of the field (perhaps the best I have found), the software is great.
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