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Wavelets in Physics
 
 
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Wavelets in Physics [Paperback]

J. C. van den Berg (Editor)

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Book Description

0521533538 978-0521533539 April 19, 2004 2
This book surveys the application of the recently developed technique of the wavelet transform to a wide range of physical fields, including astrophysics, turbulence, meteorology, plasma physics, atomic and solid state physics, multifractals occurring in physics, biophysics (in medicine and physiology) and mathematical physics. The wavelet transform can analyze scale-dependent characteristics of a signal (or image) locally, unlike the Fourier transform, and more flexibly than the windowed Fourier transform developed by Gabor fifty years ago. The continuous wavelet transform is used mostly for analysis, but the discrete wavelet transform allows very fast compression and transmission of data and speeds up numerical calculation, and is applied, for example, in the solution of partial differential equations in physics. This book will be of interest to graduate students and researchers in many fields of physics, and to applied mathematicians and engineers interested in physical application.

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Book Description

This book surveys the application of the recently developed technique of the wavelet transform to a wide range of physical fields, including astrophysics, turbulence, meteorology, plasma physics, atomic and solid state physics, multifractals occurring in physics, biophysics (in medicine and physiology) and mathematical physics. It will be of interest to graduate students and researchers in many fields of physics, and to applied mathematicians and engineers interested in physical application.

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Inside This Book (learn more)
First Sentence:
The reader might want to jump right into the book, but I decided to give a guided tour (which one may leave and rejoin at will of course) through the chapters, to whet the reader's taste. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
wavelet bicoherence, wavelet dimensions, wavelet energy spectrum, abnormal cardiac dynamics, turbulent velocity signal, analysing wavelet, inverse fractal problem, energy spectrum scaling, incoherent background flow, wavelet transform space, directional wavelets, adaptive wavelet method, multiscale vision model, new turbulence models, oscillating singularities, turbulence analysis, singularity spectrum, cross coherence, maxima lines, tree matching algorithm, transform modulus maxima, trous algorithm, wavelet packet coefficients, total enstrophy, similitude group
Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Fluid Mech, Academic Press, World Scientific, San Diego, Cambridge University Press, Signal Proc, Applied Comput, Hubble Space Telescope, Albert Bijaoui, Catholique de Louvain, Conference Series, Oxford University Press, Pure Appl, San Francisco, Burke Hubbard, Englewood Cliffs, Frequency Fig, National Meteorological Center, North Pole, Plenum Press
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