Nonlinear Signal and Image Processing: Theory, Methods, and Applications

by Kenneth E. Barner (Editor), Gonzalo R. Arce (Editor)

Overview

Nonlinear signal and image processing methods are fast emerging as an alternative to established linear methods for meeting the challenges of increasingly sophisticated applications. Advances in computing performance and nonlinear theory are making nonlinear techniques not only viable, but practical.

This book details recent advances in nonl

Product Details

ISBN-13:	9780203010419
Publisher:	CRC Press
Publication date:	11/24/2003
Series:	Electrical Engineering & Applied Signal Processing Series
Sold by:	Barnes & Noble
Format:	eBook
Pages:	560
File size:	22 MB
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About the Author

Kenneth E. Barner, Gonzalo R. Arce

Table of Contents

Energy Conservation in Adaptive Filtering. Fuzzy Methods in Nonlinear Signal Processing: Part I - Theory. Fuzzy Methods in Nonlinear Signal Processing: Part Ii - Applications. Time-Frequency Wigner Distribution Approach to Differential Equations. Weighted Myriad Filters. Data Traffic Modeling - A Signal Processing Perspective. Nonlinear Adaptive Filters for Acoustic Echo Cancellation in Mobile Terminals. Blind and Semi-Blind Channel Estimation. Bayesian Image and Video Enhancement Using a Non-Gaussian Prior. Statistical Image Modeling and Processing Using Wavelet Domain Hidden Markov Models. Self-Organizing Maps and their Applications in Image Processing, Information Organization, and Retrieval. Nonlinear Techniques for Color Image Processing. Genetic Regulatory Networks: A Nonlinear Signal Processing Perspective.