Издательство CRC Press, 2004, -535 pp.
Книга из серии «The Electrical Engineering and Applied Signal Processing Series»
Nonlinear signal processing methods continue to grow in popularity and use. This growth is due to one factor—performance. While it is true that linear methods continue to dominate in current practice, nonlinear methods are making steady progress in moving from theoretical explorations to practical implementations. Clearly, the advances in computing performance have accelerated this progress by making nonlinear methods more practical. Additionally, nonlinear theory continues to grow and yield a firm foundation upon which nonlinear methods can be developed, optimized, and analyzed. Nonlinear methods are thus being applied to address many of the most interesting and challenging signal processing problems of the day.
This book details recent advances in nonlinear theory and methods. A wide array of contemporary applications in which nonlinear methods are being applied to address challenging open problems are also presented. Although there is no single theory under which nonlinear methods are unified - these approaches are defined simply by what they are not, namely, linear - significant advances have been made in recent years in several branches of nonlinear theory. The first set of chapters in the book is therefore focused on recent advances in nonlinear signal processing theory. This set of chapters targets three critical areas of theory: (1) filter analysis, (2) nonlinear filter class design, and (3) signal analysis.
Energy Conservation in Adaptive Filtering.
Fuzzy Methods in Nonlinear Signal Processing: Theory.
Fuzzy Methods in Nonlinear Signal Processing: Applications.
Time-FrequencyWigner 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 Semiblind 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.
Книга из серии «The Electrical Engineering and Applied Signal Processing Series»
Nonlinear signal processing methods continue to grow in popularity and use. This growth is due to one factor—performance. While it is true that linear methods continue to dominate in current practice, nonlinear methods are making steady progress in moving from theoretical explorations to practical implementations. Clearly, the advances in computing performance have accelerated this progress by making nonlinear methods more practical. Additionally, nonlinear theory continues to grow and yield a firm foundation upon which nonlinear methods can be developed, optimized, and analyzed. Nonlinear methods are thus being applied to address many of the most interesting and challenging signal processing problems of the day.
This book details recent advances in nonlinear theory and methods. A wide array of contemporary applications in which nonlinear methods are being applied to address challenging open problems are also presented. Although there is no single theory under which nonlinear methods are unified - these approaches are defined simply by what they are not, namely, linear - significant advances have been made in recent years in several branches of nonlinear theory. The first set of chapters in the book is therefore focused on recent advances in nonlinear signal processing theory. This set of chapters targets three critical areas of theory: (1) filter analysis, (2) nonlinear filter class design, and (3) signal analysis.
Energy Conservation in Adaptive Filtering.
Fuzzy Methods in Nonlinear Signal Processing: Theory.
Fuzzy Methods in Nonlinear Signal Processing: Applications.
Time-FrequencyWigner 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 Semiblind 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.