Nonlinear Signal Processing

Within a broad class of nonlinear signal processing methods, this book provides a unified treatment of optimal and adaptive signal processing tools that mirror those of Wiener and Widrow, extensively presented in the linear filter theory ...

Nonlinear Signal Processing

Nonlinear Signal Processing

Nonlinear Signal Processing: A Statistical Approach focuses onunifying the study of a broad and important class of nonlinearsignal processing algorithms which emerge from statisticalestimation principles, and where the underlying signals arenon-Gaussian, rather than Gaussian, processes. Notably, byconcentrating on just two non-Gaussian models, a large set of toolsis developed that encompass a large portion of the nonlinear signalprocessing tools proposed in the literature over the past severaldecades. Key features include: * Numerous problems at the end of each chapter to aid developmentand understanding * Examples and case studies provided throughout the book in a widerange of applications bring the text to life and place the theoryinto context * A set of 60+ MATLAB software m-files allowing the reader toquickly design and apply any of the nonlinear signal processingalgorithms described in the book to an application of interest isavailable on the accompanying FTP site.

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In response to the recent growth of interest in polyspectra, this timely text provides an introduction to signal processing methods that are based on polyspectra and cumulants concepts. KEY TOPICS: The emphasis of the book is placed on the presentation of signal processing tools for use in situations where the
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Books about Nonlinear Signal Processing for Digital Communications Using Support Vector Machines and a New Form of Adaptive Decision Feedback Equalizer
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Nonlinear signal and image processing methods are fast emerging as an alternative to established linear methods for meeting the challenges of increasingly sophisticated applications. Advances in computing performance and nonlinear theory are making nonlinear techniques not only viable, but practical. This book details recent advances in nonl
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