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＜電子ブック＞
Wavelets Made Easy / by Yves Nievergelt
(Modern Birkhäuser Classics. ISSN:21971811)

版	1st ed. 2013.
出版者	(New York, NY : Springer New York : Imprint: Birkhäuser)
出版年	2013
大きさ	XIII, 297 p : online resource
著者標目	*Nievergelt, Yves author SpringerLink (Online service)
件　名	LCSH:Harmonic analysis LCSH:Fourier analysis LCSH:Electrical engineering LCSH:Mathematics LCSH:Mathematics—Data processing FREE:Abstract Harmonic Analysis FREE:Fourier Analysis FREE:Electrical and Electronic Engineering FREE:Applications of Mathematics FREE:Computational Mathematics and Numerical Analysis
一般注記	Preface -- Outline -- A. Algorithms for Wavelet Transforms -- Haar's Simple Wavelets -- Multidimensional Wavelets and Applications -- Algorithms for Daubechies Wavelets -- B. Basic Fourier Analysis -- Inner Products and Orthogonal Projections -- Discrete and Fast Fourier Transforms -- Fourier Series for Periodic Functions -- C. Computation and Design of Wavelets -- Fourier Transforms on the Line and in Space -- Daubechies Wavelets Design -- Signal Representations with Wavelets. D. Directories -- Acknowledgements -- Collection of Symbols -- Bibliography -- Index.  Originally published in 1999, Wavelets Made Easy offers a lucid and concise explanation of mathematical wavelets.  Written at the level of a first course in calculus and linear algebra, its accessible presentation is designed for undergraduates in a variety of disciplines—computer science, engineering, mathematics, mathematical sciences—as well as for practicing professionals in these areas.    The present softcover reprint retains the corrections from the second printing (2001) and makes this unique text available to a wider audience. The first chapter starts 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. Particular attention is paid to Daubechies wavelets.   Numerous exercises, a bibliography, and a comprehensive index combine to make this book an excellent text for the classroom as well as a valuable resource for self-study HTTP:URL=https://doi.org/10.1007/978-1-4614-6006-0

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