×
![]( "Buchcover ISBN 9780471197485")
„This book is well-written, the material is arranged in a logical order. it is suggested to be read by image processing experts doing image analysis and image compressions and having good mathematical background.“ (CIE News Vol. 58)„. will be extremely useful for signal processing engineers and scientists, all of whom should have a copy on their bookshelves“ (Electronics & Communications Engineering Journal, December 2000) „. will be extremely useful for signal processing engineers and scientists, all of whom should have a copy on their bookshelves“ (Electronics & Communications Engineering Journal, December 2000)
Fundamentals of Wavelets
Theory, Algorithms, and Applications
von Jaideva C. Goswami und Andrew K. ChanWavelet 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:
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.
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:
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.