Nonlinear Signal Processing: A Statistical Approach
Gonzalo R. Arce, University of Delaware
John Wiley & Sons, Inc., 2005
ISBN: 0-471-67624-1;
Language: English
Focusing on non-Gaussian models, this book develops tools for studying nonlinear signal processing algorithms that emerge from statistical estimation principles. Topics covered include order statistics, weighted median smoothers and filters, and weighted myriad filters.
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A CD bound on the book includes more than 60 MATLAB M-files to supplement the text. In addition, an appendix includes a guide to the supplemental M-files.
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