Fundamentals of Nonlinear Digital Filtering

by Jaakko Astola, Pauli Kuosmanen

Overview

Fundamentals of Nonlinear Digital Filtering is the first book of its kind, presenting and evaluating current methods and applications in nonlinear digital filtering. Written for professors, researchers, and application engineers, as well as for serious students of signal processing, this is the only book available that functions as both a reference handbook and a textbook. Solid introductory material, balanced coverage of theoretical and practical aspects, and dozens of examples provide you with a self-contained, comprehensive information source on nonlinear filtering and its applications.

Product Details

ISBN-13:	9780849325700
Publisher:	Taylor & Francis
Publication date:	05/21/1997
Series:	Electronic Engineering Systems , #8
Edition description:	New Edition
Pages:	288
Product dimensions:	7.00(w) x 10.00(h) x (d)

About the Author

Astola, Jaakko; Kuosmanen, Pauli

Table of Contents

Nonlinear Signal Processing: Signal Processing Model. Signal and Noise Models. Fundamental Problems in Noise Removal. Algorithms. Statistical Preliminaries: Random Variables and Distributions. Signal and Noise Models. Estimation. Some Useful Distributions. 1001 Solutions: Trimmed Mean Filters. Other Trimmed Mean Filters. L-Filters. C-Filters (Ll-Filters). Weighted Median Filters. Ranked-Order and Weighted Order Statistic Filters. Multistage Median Filters. Median Hybrid Filters. Edge-Enhancing Selective Filters. Rank Selection Filters. M-Filters. R-Filters. Weighted Majority with Minimum Range Filters. Nonlinear Mean Filters. Stack Filters. Generalizations of Stack Filters. Morphological Filters. Soft Morphological Filters. Polynomial Filters. Data-Dependent Filters. Decision-Based Filters. Iterative, Cascaded, and Recursive Filters. Some Numerical Measures of Nonlinear Filters. Discussion. Statistical Analysis and Optimization of Nonlinear Filters: Methods Based on Order Statistics. Stack Filters. Multistage and Hybrid Filters. Discussion. Exercises. Bibliography. Index.

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Editorial Reviews

Explains and evaluates current methods and applications in nonlinear digital filtering, for professors, researchers, and applications engineers, as well as students of signal processing. Covers both theoretical and practical aspects in chapters on nonlinear signal processing, statistical preliminaries, and 30 nonlinear filtering approaches, with definitions, algorithms, and detailed examples. A final chapter discusses statistical analysis and optimization of nonlinear filters. Includes margin icons, exercises, and b&w photos and diagrams, plus 50 algorithms for readers' use. Assumes understanding of basic signal processing concepts. Annotation c. by Book News, Inc., Portland, Or.

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