Wavelets are spatially localised 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, image processing, and other fields of computational sciences. This book is a collection of chapters written by the five lecturers of a short course co-sponsored by the Institute of Computer Applications in Science and Engineering (ICASE).

Contenuti

1: L.M. Jameson: Introduction to Wavelets and their Application to Partial Differential Equations
2: G. Strang: Wavelets from Filter Banks
3: Ph. Tchamitchian: Wavelets, Functions, and Operators
4: G. Beylkin: Wavelets, Multiresolution Analysis, and Fast Numerical Algorithms
5: J. Liandrat: Some Wavelet Algorithms for Partial Differential Equations
6: J. Liandrat: Wavelet Algorithms for Turbulence Analysis and Modeling
7: A. Arneodo: Wavelet Analysis of Fractals: from the Mathematical Concepts to Experimental Reality

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