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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,...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Arce, Gonzalo R.
Format: Electronic eBook
Language:Inglés
Published: Hoboken, N.J. : Wiley-Interscience, ©2005.
Subjects:
Online Access:Texto completo
Description
Summary: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.
Physical Description:1 online resource (xx, 459 pages) : illustrations
Bibliography:Includes bibliographical references (pages 365-379) and index.
ISBN:0471691844
9780471691846
0471676241
9780471676249
0471691852
9780471691853
1280272937
9781280272936
9786610272938
661027293X
0470323612
9780470323618