Nonlinear Signal Processing: A Statistical Approach
by Gonzalo R. Arce
Category: Science

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.