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Wavelet Methods in Mathematical Analysis and Engineering (Series in Contemporary Applied Mathematics)

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Wavelet Methods in Mathematical Analysis and Engineering (Series in Contemporary Applied Mathematics) Cover

 

Synopses & Reviews

Synopsis:

This book gives a comprehensive overview of both the fundamentals of wavelet analysis and related tools, and of the most active recent developments towards applications. It offers a state-of-the-art in several active areas of research where wavelet ideas, or more generally multiresolution ideas have proved particularly effective.

The main applications covered are in the numerical analysis of PDEs, and signal and image processing. Recently introduced techniques such as Empirical Mode Decomposition (EMD) and new trends in the recovery of missing data, such as compressed sensing, are also presented. Applications range for the reconstruction of noisy or blurred images, pattern and face recognition, to nonlinear approximation in strongly anisotropic contexts, and to the classification tools based on multifractal analysis.

Product Details

ISBN:
9789814322867
Author:
Damlamian, Alain
Publisher:
World Scientific Publishing Company
Editor:
Jaffard, Stephane
Subject:
Mathematical Analysis
Subject:
Discrete Mathematics
Subject:
Applied
Subject:
Mathematics-Analysis General
Series:
Series in Contemporary Applied Mathematics
Publication Date:
20100931
Binding:
Hardcover
Language:
English
Pages:
200

Related Subjects


Reference » Science Reference » Technology
Science and Mathematics » Mathematics » Advanced
Science and Mathematics » Mathematics » Analysis General
Science and Mathematics » Mathematics » Applied

Wavelet Methods in Mathematical Analysis and Engineering (Series in Contemporary Applied Mathematics) New Hardcover
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Product details 200 pages World Scientific Publishing Company - English 9789814322867 Reviews:
"Synopsis" by , This book gives a comprehensive overview of both the fundamentals of wavelet analysis and related tools, and of the most active recent developments towards applications. It offers a state-of-the-art in several active areas of research where wavelet ideas, or more generally multiresolution ideas have proved particularly effective.

The main applications covered are in the numerical analysis of PDEs, and signal and image processing. Recently introduced techniques such as Empirical Mode Decomposition (EMD) and new trends in the recovery of missing data, such as compressed sensing, are also presented. Applications range for the reconstruction of noisy or blurred images, pattern and face recognition, to nonlinear approximation in strongly anisotropic contexts, and to the classification tools based on multifractal analysis.

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