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Wavelet theory originated from research activities in many areas of science and engineering. As a result, it finds applications in a wide range of practical problems. Wavelet techniques are specifically suited for nonstationary signals for which classic Fourier methods are ineffective.
Based on courses taught by the authors at Texas A&M University as well as related conferences, Fundamentals of Wavelets is a textbook offering an up-to-date engineering approach to wavelet theory. It balances a discussion of wavelet theory and algorithms with its far-ranging practical applications in signal processing, image processing, electromagnetic wave scattering, and boundary value problems.
In a clear, progressive format, the book describes:
* Basic concepts of linear algebra, Fourier analysis, and discrete signal analysis
* Theoretical aspects of time-frequency analysis and multiresolution analysis
* Construction of various wavelets
* Algorithms for computing wavelet transformations.
Concluding chapters present interesting applications of wavelets to signal processing and boundary value problems. Fundamentals of Wavelets is an essential introduction to wavelet theory for students and professionals alike in a practical, real-world engineering context.
What This Book Is About?
Construction of Wavelets.
Discrete Wavelet Transform and Filter Bank Algorithms.
Fast Integral Transform and Applications.
Digital Signal Processing Applications.
Wavelets in Boundary Value Problems.
Posted January 25, 2003
The marriage of signal processing and wavelets has spun off a host of exciting applications of math and algorithms. As a rule, it was an unexpected combination of ideas,-- as opposed to a single one, that generated the most sucessful applications. The present very nice book is aimed at students taking a service course, for example electrical or optical engineers, but it has broader appeal as well.Was this review helpful? Yes NoThank you for your feedback. Report this reviewThank you, this review has been flagged.