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Nonlinear Signal Processing

A Statistical Approach de

Éditeur :

Wiley-Interscience


Paru le : 2005-01-03

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Description
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.
Pages
480 pages
Collection
n.c
Parution
2005-01-03
Marque
Wiley-Interscience
EAN papier
9780471676249
EAN PDF
9780471691846

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
480
Taille du fichier
20664 Ko
Prix
171,76 €

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