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"This text covers key mathematical principles and algorithms for nonlinear filters used in image processing. Readers will gain an in-depth;
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Despite our growing understanding of the properties and capabilities of nonlinear filters, there persists the belief among engineers that;
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provides extensive coverage of nonlinear model-based techniques in image and video processing and analysis. This volume not only details new;
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) is important for modern information engineering. One-- and Multidimensional Signal Processing provides an introduction to the algorithmic basics;
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language, IDEs for Python, and digital image processing. It also illustrates the theoretical foundations of Image processing followed by advanced;
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utilized or avoided when operating nonlinear digital filters. It gives techniques for analyzing discrete-time systems with discontinuous;
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Nonlinear signal and image processing methods are fast emerging as an alternative to established linear methods for meeting the challenges;
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Dealing with digital filtering methods for 1-D and 2-D signals, this book provides the theoretical background in signal processing;
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of applications in image and seismic data processing that demonstrate their use in real-world signal processing. For graduate students in electrical and;
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This book discusses the applications of signal and image processing in acoustical imaging. It first ;...
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This textbook can be used for an undergraduate course in digital image processing and analysis, or an undergraduate/graduate course;
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Signal and image processing incorporates three fundamental areas: signal processing, adaptive filter;...
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for image signatures, and the design of efficient morphological algorithms. Extends the morphological paradigm to include other branches;
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numerical techniques for finding nonlinear eigenfunctions, and promising research directions beyond the convex case. Topics and features;
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learning algorithms for nonlinear adaptive filters and introduces new paradigms which exploit the concepts of a priori and a posteriori errors;
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This book was written in response to the growing demand for a text that provides a unified treatment of linear and nonlinear complex valued;
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Nonlinear Digital Filtering with Python: An Introduction discusses important structural filter classes including the median filter and a;
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recognized as one of the easiest languages for non-programmers to learn, Python is used in a variety of practical examples. A refresher;
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Explore the mathematical computations and algorithms for image processing using popular Python tools and frameworks. Key Features Practical;
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, nonlinear diffusion filtering, and partial differential equation (PDE)-based image denoising techniques. It presents intensity-based image;
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engines equipped with faster data monitoring systems Nonlinear myriad filters for cases where monitoring of transient data can lead to better;
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equipped with faster data monitoring systems Nonlinear myriad filters for cases where monitoring of transient data can lead to better fault;
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Written by an acknowledged expert in the field, this book focuses on approaches for designing secure hardware accelerators for digital;
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sample point filters (also called Gaussian filters) and their variants for nonlinear estimation problems, for which no closed-form solution;
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recognized as one of the easiest languages for non-programmers to learn, Python is used in a variety of practical examples. A refresher for more;
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Photoshop is the preeminent program for retouching photographs and image processing. With the help of this manual, you will learn how to;
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Filters are essential subsystems in a huge variety of electronic systems. Filter applications are innumerable; they are used for noise;
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