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Digital Signal and Image Processing using MATLAB, Volume 3: Advances and Applications, The Stochastic Case
Gerard Blanchet
€ 177.86
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Description for Digital Signal and Image Processing using MATLAB, Volume 3: Advances and Applications, The Stochastic Case
Hardback. Num Pages: 362 pages, black & white illustrations. BIC Classification: TJ; UYS; UYT. Category: (P) Professional & Vocational. Dimension: 244 x 165 x 26. Weight in Grams: 708.
Volume 3 of the second edition of the fully revised and updated Digital Signal and Image Processing using MATLAB(R), after first two volumes on the Fundamentals and Advances and Applications: The Deterministic Case , focuses on the stochastic case. It will be of particular benefit to readers who already possess a good knowledge of MATLAB(R), 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. This volume is focused on applications, but it also provides a good presentation of the principles. A number of elements closer in nature to statistics than to signal processing itself are widely discussed. This choice comes from a current tendency of signal processing to use techniques from this field. More than 200 programs and functions are provided in the MATLAB(R) 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.
Product Details
Publisher
ISTE Ltd and John Wiley & Sons Inc
Format
Hardback
Publication date
2015
Condition
New
Weight
707 g
Number of Pages
362
Place of Publication
London, United Kingdom
ISBN
9781848217959
SKU
V9781848217959
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About Gerard Blanchet
Gerard 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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