Elements of Wavelets for Engineers and Scientists
Autor DF Mixen Limba Engleză Hardback – 18 sep 2003
Elements of Wavelets for Engineers and Scientists is a guide to wavelets for "the rest of us"-practicing engineers and scientists, nonmathematicians who want to understand and apply such tools as fast Fourier and wavelet transforms. It is carefully designed to help professionals in nonmathematical fields comprehend this very mathematically sophisticated topic and be prepared for further study on a more mathematically rigorous level.
Detailed discussions, worked-out examples, drawings, and drill problems provide step-by-step guidance on fundamental concepts such as vector spaces, metric, norm, inner product, basis, dimension, biorthogonality, and matrices.
Chapters explore . . .
* Functions and transforms
* The sampling theorem
* Multirate processing
* The fast Fourier transform
* The wavelet transform
* QMF filters
* Practical wavelets and filters
. . . as well as many new wavelet applications-image compression, turbulence, and pattern recognition, for instance-that have resulted from recent synergies in fields such as quantum physics and seismic geology.
Elements of Wavelets for Engineers and Scientists is a must for every practicing engineer, scientist, computer programmer, and student needing a practical, top-to-bottom grasp of wavelets.
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Specificații
ISBN-13: 9780471466178
ISBN-10: 0471466174
Pagini: 256
Dimensiuni: 169 x 241 x 20 mm
Greutate: 0.48 kg
Editura: Wiley
Locul publicării:Hoboken, United States
ISBN-10: 0471466174
Pagini: 256
Dimensiuni: 169 x 241 x 20 mm
Greutate: 0.48 kg
Editura: Wiley
Locul publicării:Hoboken, United States
Public țintă
The market for this book are practicing engineers, scientists, physicists, computer programming and graduate students. Academic and corporate technical librariesCuprins
Descriere
Wavelets are mathematical functions that cut up data into different frequency components, and then study each component with a resolution matched to its scale. They have advantages over traditional Fourier methods in analyzing physical situations where the signal contains discontinuities and sharp spikes.