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Albert Boggess - A First Course in Wavelets with Fourier Analysis - 9780470431177 - V9780470431177
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A First Course in Wavelets with Fourier Analysis

€ 130.19
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Description for A First Course in Wavelets with Fourier Analysis Hardcover. Presenting the subject from the point of view of signal analysis, A First Course in Wavelets with Fourier Analysis, 2nd Edition provides a self-contained mathematical treatment of the subject that is accessible to a broad audience. Num Pages: 336 pages, Illustrations. BIC Classification: PBK. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 236 x 168 x 23. Weight in Grams: 600.
A comprehensive, self-contained treatment of Fourier analysis and wavelets—now in a new edition

Through expansive coverage and easy-to-follow explanations, A First Course in Wavelets with Fourier Analysis, Second Edition provides a self-contained mathematical treatment of Fourier analysis and wavelets, while uniquely presenting signal analysis applications and problems. Essential and fundamental ideas are presented in an effort to make the book accessible to a broad audience, and, in addition, their applications to signal processing are kept at an elementary level.

The book begins with an introduction to vector spaces, inner product spaces, and other preliminary topics in analysis. Subsequent chapters ... Read more

  • The development of a Fourier series, Fourier transform, and discrete Fourier analysis

  • Improved sections devoted to continuous wavelets and two-dimensional wavelets

  • The analysis of Haar, Shannon, and linear spline wavelets

  • The general theory of multi-resolution analysis

  • Updated MATLAB code and expanded applications to signal processing

  • The construction, smoothness, and computation of Daubechies' wavelets

  • Advanced topics such as wavelets in higher dimensions, decomposition and reconstruction, and wavelet transform

Applications to signal processing are provided throughout the book, most involving the filtering and compression of signals from audio or video. Some of these applications are presented first in the context of Fourier analysis and are later explored in the chapters on wavelets. New exercises introduce additional applications, and complete proofs accompany the discussion of each presented theory. Extensive appendices outline more advanced proofs and partial solutions to exercises as well as updated MATLAB routines that supplement the presented examples.

A First Course in Wavelets with Fourier Analysis, Second Edition is an excellent book for courses in mathematics and engineering at the upper-undergraduate and graduate levels. It is also a valuable resource for mathematicians, signal processing engineers, and scientists who wish to learn about wavelet theory and Fourier analysis on an elementary level.

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Product Details

Format
Hardback
Publication date
2009
Publisher
John Wiley & Sons Inc United Kingdom
Number of pages
336
Condition
New
Number of Pages
336
Place of Publication
New York, United States
ISBN
9780470431177
SKU
V9780470431177
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50

About Albert Boggess
ALBERT BOGGESS, PHD, is Professor of Mathematics at Texas A&M University. Dr. Boggess has over twenty-five years of academic experience and has authored numerous publications in his areas of research interest, which include overdetermined systems of partial differential equations, several complex variables, and harmonic analysis. FRANCIS J. NARCOWICH, PHD, is Professor of Mathematics and Director of the Center for Approximation ... Read more

Reviews for A First Course in Wavelets with Fourier Analysis
"A first course in wavelets with Fourier analysis, second edition is an excellent book for courses in mathematics and engineering at the upper-undergraduate and graduate levels. It is also a valuable resource for mathematicians, signal processing engineers, and scientists who wish to learn about wavelet theory and Fourier analysis on an elementary level." (Mathematical Reviews, 2011) ... Read more

Goodreads reviews for A First Course in Wavelets with Fourier Analysis


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