Bibliography on cyclostationarity
Signal Processing
Cost-effective video filtering solution for real-time vision systems
EURASIP Journal on Applied Signal Processing
Geometric features-based filtering for suppression of impulse noise in color images
IEEE Transactions on Image Processing
Nonlinear Image Processing and Filtering: A Unified Approach Based on Vertically Weighted Regression
International Journal of Applied Mathematics and Computer Science - Applied Image Processing
Fast communication: Recursive polynomial weighted median filtering
Signal Processing
A generalized cauchy distribution framework for problems requiring robust behavior
EURASIP Journal on Advances in Signal Processing - Special issue on robust processing of nonstationary signals
A recursive trim-mean filter for denoising biological signals
MUSP'06 Proceedings of the 6th WSEAS international conference on Multimedia systems & signal processing
Adaptive technique of impulsive noise removal in color images
ICCOMP'10 Proceedings of the 14th WSEAS international conference on Computers: part of the 14th WSEAS CSCC multiconference - Volume II
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From the Publisher: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. Chapters 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 and the potential of these methods to solve important open problems. Illustrative examples and instructive results are abundantly provided, and supplemental material is available for download from the Internet.