Nonlinear Signal and Image Processing

Nonlinear signal and image processing methods are fast emerging as an alternative to established linear methods for meeting the challenges of increasingly sophisticated applications. This book details recent advances in nonlinear theory, techniques, and an array of modern applications. Its chapters, all contributed by well-known theorists and researchers, explore current and emerging nonlinear methods from their theoretical background and practical algorithms through the application of nonlinear methods to contemporary problems in areas such as communications and networking, imaging, biomedicine, and genomics. The text includes a wealth of illustrative examples and instructive results.

Kenneth E. Barner, Gonzalo R. Arce

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.