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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| Format: | eBook |
| Language: | English |
| Language Notes: | English. |
| Published: |
Hoboken, N.J. :
Wiley-Interscience,
©2005.
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| Online Access: | Connect to the full text of this electronic book |
| 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. |
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| 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 |