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Sparse Representations for Radar with MATLAB (R) Examples

producing encouraging results. The sparse signal or parameter model motivated several researchers and practitioners to explore high complexity/wide;

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Digital Signal Processing with MATLAB Examples, Volume 3: Model-Based Actions and Sparse Representation

, and a guide to support individual practical exploration based on MATLAB programs. This book includes MATLAB codes to illustrate each;

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Digital Signal and Image Processing using MATLAB, Volume 3

Volume 3 of the second edition of the fully revised and updated Digital Signal and Image Processing using MATLAB, after first two volumes;

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Multimedia Signal Processing

-transform, and digital filters. Part 2: Model-based Signal Processing covers probability and information models, Bayesian inference, Wiener filter;

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Digital Signal Processing Using MATLAB for Students and Researchers

developed MATLAB examples throughout the text illustrate the mathematical concepts and use of digital signal processing algorithms. An abundance;

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Digital Signal Processing With Examples In Matlab

, and biometrics. Updated and expanded, Digital Signal Processing with Examples in MATLAB (R), Second Edition introduces the basic aspects;

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A Wavelet Tour of Signal Processing

mathematics with applications to signal processing* Algorithms and numerical examples are implemented in WaveLab, a MATLAB toolbox

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Sparse Image and Signal Processing

applications in areas such as astronomy, biology, physics, digital media, and forensics. A final chapter explores a paradigm shift in signal processing;

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Digital Image Processing: A Signal Processing and Algorithmic Approach

This book offers readers an essential introduction to the fundamentals of digital image processing. Pursuing a signal processing and;

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Conceptual Digital Signal Processing with MATLAB

reader, a graphical approach to the solution of the signal processing mathematics, and extensive use of MATLAB. In contrast to the;

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Conceptual Digital Signal Processing with MATLAB

reader, a graphical approach to the solution of the signal processing mathematics, and extensive use of MATLAB. In contrast to the;

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Digital Signal Processing for Wireless Communication using Matlab

The updated book presents Matlab illustrations on various digital signal processing (DSP) techniques such as random process, time varying;

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Digital Signal Processing with Matlab Examples, Volume 1

, and a guide to support individual practical exploration based on MATLAB programs. This book includes MATLAB codes to illustrate each of the;

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Digital Signal Processing

The book provides a comprehensive exposition of all major topics in digital signal processing (DSP). With numerous illustrative examples;

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Digital Signal Processing

The book provides a comprehensive exposition of all major topics in digital signal processing (DSP). With numerous illustrative examples;

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Digital Signal Processing Using MATLAB

Learn to use MATLAB as a useful computing tool for exploring traditional Digital Signal Processing (DSP) topics and solving problems to;

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Digital Signal Processing with Kernel Methods

communications, multimedia, and biomedical engineering systems Digital Signal Processing with Kernel Methods reviews the milestones in the mixing;

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Introduction to Digital Signal Processing Using MATLAB with Application to Digital Communications

This textbook provides engineering students with instruction on processing signals encountered in speech, music, and wireless;

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Introduction to Digital Signal Processing Using MATLAB with Application to Digital Communications

This textbook provides engineering students with instruction on processing signals encountered in speech, music, and wireless;

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Advanced Sparsity-Driven Models and Methods for Radar Applications

-level block sparsity model for multi-channel radar signals; parametric sparse representation for radar imaging with model uncertainty; Poisson;

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Digital Signal Processing

include:* The extensive use of MATLAB based examples to illustrate how to solve signal processing problems. The textbook includes a wealth;

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Digital Signal Processing Laboratory Experiments using MATLAB

: Unit Impulse, Ramp, Unit Step, Exponential. 2 To generate discrete sine and cosine signals with given sampling frequency. 3 To represent;

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Digital Signal Processing

worked examples, hundreds of end-of-chapter homework problems and detailed computational examples of DSP algorithms implemented in MATLAB (R) and;

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The Digital Signal Processing Handbook - 3 Volume Set

provide the engineering community with authoritative coverage of the fundamental and specialized aspects of information-bearing signals in digital;

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Introduction to Digital Signal Processing

, 'Introduction to Digital Signal Processing' contains numerous worked examples throughout as well as further problems with solutions to enable students;

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Design and Analysis of Analog Filters

. Useful Aspects of Design and Analysis of Analog Filters: A Signal Processing Perspective extensive use of MATLAB (R) throughout, with many;

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Digital Image Processing

This book offers readers an essential introduction to the fundamentals of digital image processing. Pursuing a signal processing and;

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