Nonlinear Signal Processing

Beschreibung

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.

Autor*in

Gonzalo R. Arce

Themen in »Nonlinear Signal Processing«

Electrical & Electronics Engineering Elektrotechnik u. Elektronik Engineering Statistics Signal Processing Signalverarbeitung Statistics Statistik Statistik in den Ingenieurwissenschaften Technische Statistik

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"This book will be a valuable textbook for students and researchersinterested in learning nonlinear signal processing techniquesdesigned to be robust against heavy-tailed error distributions."(Journal of the American Statistician, December 2008) "This comprehensive book...will be a good reference for boththe trained statisticians and engineers." (Technometrics,February 2006)
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