Wavelets and Other Orthogonal Systems: Studies in Advanced Mathematics
Autor Gilbert G. Walter, Xiaoping Shenen Limba Engleză Hardback – 20 dec 2000
With cutting-edge applications in data compression, image analysis, numerical analysis, and acoustics wavelets remain at the forefront of current research. Wavelets and Other Orthogonal Systems maintains its mathematical perspective in presenting wavelets in the same setting as other orthogonal systems, thus allowing their advantages and disadvantages to be seen more directly. Now even more student friendly, the second edition forms an outstanding text not only for graduate students in mathematics, but also for those interested in scientific and engineering applications.
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Specificații
ISBN-13: 9781584882275
ISBN-10: 1584882271
Pagini: 392
Ilustrații: 25 b/w images and 2 tables
Dimensiuni: 156 x 234 x 27 mm
Greutate: 0.7 kg
Ediția:Revizuită
Editura: CRC Press
Colecția CRC Press
Seria Studies in Advanced Mathematics
ISBN-10: 1584882271
Pagini: 392
Ilustrații: 25 b/w images and 2 tables
Dimensiuni: 156 x 234 x 27 mm
Greutate: 0.7 kg
Ediția:Revizuită
Editura: CRC Press
Colecția CRC Press
Seria Studies in Advanced Mathematics
Public țintă
Mathematics researchers and students, electrical engineers, computer scientists, and applied physicistsCuprins
Orthogonal Series. A Primer on Tempered Distributions. An Introduction to Orthogonal Wavelet Theory. Convergence and Summability of Fourier Series. Wavelets and Tempered Distributions. Orthogonal Polynomials. Other Orthogonal Systems. Pointwise Convergence of Wavelet Expansions. A Shannon Sampling Theorem in Wavelet subspaces. Extensions of Wavelet Sampling Theorems. Translation and Dilation Invariance in Orthogonal Systems. Analytic Representations via Orthogonal Series. Orthogonal Series in Statistics. Orthogonal Systems and Stochastic Processes.
Notă biografică
Walter, Gilbert G.; Shen, Xiaoping
Descriere
A bestselling text and reference in its first edition, Wavelets and Other Orthogonal Systems, Second Edition was fully updated and expanded to reflect the phenomenal growth and development of this field, especially in the area of multiwavelets. The authors incorporated more examples and numerous illustrations to help clarify concepts. They also added a considerable amount of new material, including sections addressing impulse trains, an alternate approach to periodic wavelets, and positive wavelets. Other discussions new to this edition address irregular sampling in wavelet subspaces, hybrid wavelet sampling, interpolating multiwavelets, and several additional statistics topics.