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Secure Connected Objects

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Banach, Fréchet, Hilbert and Neumann Spaces

Analysis for PDEs Set – Volume 1

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Semi-Markov Migration Models for Credit Risk

Stochastic Models for Insurance Set – Volume 1

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Human Exposure to Electromagnetic Fields

From Extremely Low Frequency (ELF) to Radio Frequency

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Enterprise Interoperability


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Data Treatment in Environmental Sciences

Multivaried Approach

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From Pinch Methodology to Pinch-Exergy Integration of Flexible Systems

Thermodynamics – Energy, Environment, Economy Set

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Exterior Algebras

Elementary Tribute to Grassmann's Ideas

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Nonlinear Theory of Elastic Plates

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Cognitive Approach to Natural Language Processing

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Wavelets and their Applications

Edited by Michel Misiti, University of Paris Sud, France Yves Misiti, University of Paris Sud, France Georges Oppenheim, University of Paris Sud, France and Jean-Michel Poggi, University of Paris Sud, France

ISBN: 9781905209316

Publication Date: May 2007   Hardback   352 pp.

215.00 USD

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The last fifteen years have seen an explosion of interest in wavelets with applications in fields such as image compression, turbulence, human vision, radar and earthquake prediction. Wavelets represent an area that combines signal in image processing, mathematics, physics and electrical engineering. As such, this title is intended for the wide audience that is interested in mastering the basic techniques in this subject area, such as decomposition and compression.


1. A Guided Tour.
2. Mathematical Framework.
3. From Wavelet Bases to the Fast Algorithm.
4. Wavelet Families.
5. Finding and Designing a Wavelet.
6. A Short 1D Illustrated Handbook.
7. Signal Denoising and Compression.
8. Image Processing with Wavelets.
9. An Overview of Applications.
Appendix (The EZW Algorithm)

About the Authors

Michel Misiti, Georges Oppenheim, and Jean-Michel Poggi, members of the Laboratoire de Mathématiques at Paris 11 University, France, are mathematics Professors at Ecole Centrale de Lyon, University of Marne-La-Vallée and Paris 5 University, France.
Yves Misiti is a research engineer specializing in computer sciences at Paris 11 University, France. Their fields of interest are statistical signal processing, stochastic processes, adaptive control, and wavelets. The authors' group has published numerous theoretical papers and carried out applications in close collaboration with industrial teams.


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