Wavelets: Theory and Applications by Gordon ErlebacherWavelets: Theory and Applications by Gordon Erlebacher

Wavelets: Theory and Applications

EditorGordon Erlebacher, M. Yousuff Hussaini, Leland M. Jameson

Hardcover | April 30, 1999

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Wavelets are spatially localized functions whose amplitude drops off exponentially outside a small "window". They are used to magnify experimental or numerical data and have become powerful tools in signal processing and other computational sciences. This book gives scientists and engineersa practical understanding of wavelets--their origins, their purpose, their use, and their prospects. It covers the applications of wavelets as a diagnostic tool and the use of wavelet basis functions to solve differential equations. Each chapter was written by one of five lecturers of a coursesponsored by the Institute of Computer Applications in Science and Engineering (ICASE) and the NASA Langley Research Center. Not only does this book treat the latest advances on the subject, but it also attempts to impart practical knowledge to allow scientists and engineers to evaluate objectivelywhere these tools stand in relation to their needs.
Gordon Erlebacher, M. Yousuff Hussaini, and Leland M. Jameson are all at the Institute for Computer Applications to Science and Engineering (ICASE), NASA/Langley Research Center, Hampton, VA.
Title:Wavelets: Theory and ApplicationsFormat:HardcoverDimensions:528 pages, 9.57 × 6.42 × 1.22 inPublished:April 30, 1999Publisher:Oxford University Press

The following ISBNs are associated with this title:

ISBN - 10:0195094239

ISBN - 13:9780195094237

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Table of Contents

1. L.M. Jameson: Introduction to Wavelets and their Applications to Partial Differential Equations2. G. Strang: Wavelets from Filter Banks3. Ph. Tchamitchian: Wavelets, Functions, and Operators4. G. Beylkin: Wavelets, Multiresolution Analysis, and Fast Numerical Algorithms5. J. Liandrat: Some Wavelet Algorithms for Partial Differential Equations6. J. Liandrat: Some Wavelet Algorithms for Turbulence Analysis and Modelling7. A. Arneodo: Wavelet Analysis of Fractals: from the Mathematical Concepts to Experimental Reality