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Wavelets Made Easy


By: Yves Nievergelt

312 pages, 53 black & white illustrations

Birkhäuser Verlag

Hardback | Apr 2001 | #182934 | ISBN: 0817640614
Availability: Usually dispatched within 1 week Details
NHBS Price: £46.99 $62/€53 approx

About this book

This book, written at the level of a first course in calculus and linear algebra, offers a lucid and concise explanation of mathematical wavelets. Evolving from ten years of classroom use, its accessible presentation is designed for undergraduates in a variety of disciplines (computer science, engineering, mathematics, mathematical sciences) as well as for practising professionals in these areas.

This unique text starts the first chapter with a description of the key features and applications of wavelets, focusing on Haar's wavelets but using only high school mathematics. The next two chapters introduce one-, two-, and three-dimensional wavelets, with only the occasional use of matrix algebra. The second part of this book provides the foundations of least squares approximation, the discrete Fourier transform, and Fourier series. The third part explains the Fourier transform and then demonstrates how to apply basic Fourier analysis to designing and analyzing mathematical wavelets.

The book explains in a nice way the nature and computation of mathematical wavelets, which provide a framework and methods for the analysis and synthesis of signals, images, and other arrays of data. A useful text for engineers, financiers, scientists, and students looking for explanation of wavelets.

a "Journal of Information and Optimization Sciences

"Giving practice first and theory later, the author avoids discouraging readers whose main subject is not mathematics. The book is written in a very comprehensible and lively style. The text is essentially self-contained since many of the facts employed from analysis, linear algebra and functional analysis are stated and partially proved in the book."

a "ZAA


Part 1 Algorithms for wavelet transforms: Haar's simple wavelets; multidimensional wavelets and applications; algorithms for Daubechie's wavelets. Part 2 Basic Fourier analysis: inner products and orthogonal projections; discrete and fast Fourier transforms; Fourier series for periodic functions. Part 3 Computation and design of wavelets: Fourier transforms on the line and space; Duabechies' wavelets design; signal representations with wavelets.

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