Fundamentals of Nonlinear Digital Filtering
Series: Electronic Engineering Systems; 8;
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Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
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Product details:
- Edition number 1
- Publisher CRC Press
- Date of Publication 21 May 1997
- ISBN 9780849325700
- Binding Hardback
- No. of pages288 pages
- Size 254x178 mm
- Weight 690 g
- Language English
- Illustrations w. numerous figs. 0
Categories
Short description:
This book discusses the problems that should be solved by nonlinear digital filtering and analyzes the drawbacks of the basic solutions, the mean and the median filters. It explores the intimate connection between filtering and statistical estimation.
MoreLong description:
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.
MoreTable 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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