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Digital Signal and Image Processing using Matlab® – 2nd edition

Volume 2 – Advances and Applications: The Deterministic Case

Gérard Blanchet and Maurice Charbit, Telecom ParisTech, France

ISBN: 9781848216419

Publication Date: February 2015   Hardback   274 pp.

105.00 USD


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Description

Volume 2 of the second edition of the fully revised and updated Digital Signal and Image Processing using MATLAB® is essentially a collection of examples and exercises which also presents applications of digital signal- or image processing, and techniques which were not touched upon in the previous volume. It will be of particular benefit to readers who already possess a good knowledge of MATLAB®, a command of the fundamental elements of digital signal processing and who are familiar with both the fundamentals of continuous-spectrum spectral analysis and who have a certain mathematical knowledge concerning Hilbert spaces.
More than 200 programs and functions are provided in the MATLAB® language, with useful comments and guidance, to enable numerical experiments to be carried out, thus allowing readers to develop a deeper understanding of both the theoretical and practical aspects of this subject.

Contents

1. Recap on Digital Signal Processing.
2. Additional Information About Filtering.
3. Image Processing.
4. Numerical Calculus and Simulation.
5. Speech Processing.
6. Selected Topics.
7. Hints and Solutions.
8. Appendix.

About the Authors

Gérard Blanchet is Professor at Telecom ParisTech, France. In addition to his research, teaching and consulting activities, he is the author of several books on automatic control systems, digital signal processing and computer architecture. He also develops tools and methodologies to improve knowledge acquisition in various fields.
Maurice Charbit is Professor at Telecom ParisTech, France. He is a teacher in probability theory, signal processing, communication theory and statistics for data processing. With regard to research, his main areas of interest are: (i) the Bayesian approach for hidden Markov models, (ii) the 3D model-based approach for face tracking, and (iii) processing for multiple sensor arrays with applications to infrasonic systems.

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