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9780521593113

Wavelets in Physics

by
  • ISBN13:

    9780521593113

  • ISBN10:

    0521593115

  • Format: Hardcover
  • Copyright: 1999-09-13
  • Publisher: Cambridge University Press

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Summary

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.

Table of Contents

List of contributors
xiii
Preface xix
J.C. van den Berg (ed.)
A guided tour through the book
1(8)
J.C. van den Berg
Wavelet analysis: a new tool in physics
9(14)
J.-P. Antoine
What is wavelet analysis?
9(3)
The continuous WT
12(2)
The discrete WT: orthonormal bases of wavelets
14(4)
The wavelet transform in more than one dimension
18(2)
Outcome
20(3)
References
21(2)
The 2-D wavelet transform, physical applications and generalizations
23(54)
J.-P. Antoine
Introduction
23(1)
The continuous WT in two dimensions
24(15)
Construction and main properties of the 2-D CWT
24(2)
Interpretation of the CWT as a singularity scanner
26(1)
Practical implementation: the various representations
27(2)
Choice of the analysing wavelet
29(5)
Evaluation of the performances of the CWT
34(5)
Physical applications of the 2-D CWT
39(14)
Pointwise analysis
39(4)
Applications of directional wavelets
43(7)
Local contrast: a nonlinear extension of the CWT
50(3)
Continuous wavelets as affine coherent states
53(6)
A general set-up
53(2)
Construction of coherent states from a square integrable group representation
55(4)
Extensions of the CWT to other manifolds
59(6)
The three-dimensional case
59(2)
Wavelets on the 2-sphere
61(2)
Wavelet transform in space-time
63(2)
The discrete WT in two dimensions
65(5)
Multiresolution analysis in 2-D and the 2-D DWT
65(1)
Generalizations
66(2)
Physical applications of the DWT
68(2)
Outcome: why wavelets?
70(7)
References
71(6)
Wavelets and astrophysical applications
77(40)
A. Bijaoui
Introduction
78(1)
Time-frequency analysis of astronomical sources
79(5)
The world of astrophysical variable sources
79(1)
The application of the Fourier transform
80(1)
From Gabor's to the wavelet transform
81(1)
Regular and irregular variables
81(1)
The analysis of chaotic light curves
82(1)
Applications to solar time series
83(1)
Applications to image processing
84(9)
Image compression
84(2)
Denoising astronomical images
86(3)
Multiscale adaptive deconvolution
89(2)
The restoration of aperture synthesis observations
91(1)
Applications to data fusion
92(1)
Multiscale vision
93(13)
Astronomical surveys and vision models
93(1)
A multiscale vision model for astronomical images
94(3)
Applications to the analysis of astrophysical sources
97(2)
Applications to galaxy counts
99(3)
Statistics on the large-scale structure of the Universe
102(4)
Conclusion
106(11)
Appendices to Chapter 3
107(1)
The a trous algorithm
107(1)
The pyramidal algorithm
108(1)
The denoising algorithm
109(1)
The deconvolution algorithm
109(1)
References
110(7)
Turbulence analysis, modelling and computing using wavelets
117(84)
M. Farge
N.K.-R. Kevlahan
V. Perrier
K. Schneider
Introduction
117(4)
Open questions in turbulence
121(11)
Definitions
121(3)
Navier-Stokes equations
124(1)
Statistical theories of turbulence
125(4)
Coherent structures
129(3)
Fractals and singularities
132(16)
Introduction
132(3)
Detection and characterization of singularities
135(2)
Energy spectra
137(4)
Structure functions
141(2)
The singularity spectrum for multifractals
143(4)
Distinguishing between signals made up of isolated and dense singularities
147(1)
Turbulence analysis
148(12)
New diagnostics using wavelets
148(2)
Two-dimensional turbulence analysis
150(8)
Three-dimensional turbulence analysis
158(2)
Turbulence modelling
160(10)
Two-dimensional turbulence modelling
160(5)
Three-dimensional turbulence modelling
165(3)
Stochastic models
168(2)
Turbulence computation
170(15)
Direct numerical simulations
170(1)
Wavelet-based numerical schemes
171(1)
Solving Navier-Stokes equations in wavelet bases
172(7)
Numerical results
179(6)
Conclusion
185(16)
References
190(11)
Wavelets and detection of coherent structures in fluid turbulence
201(26)
L. Hudgins
J.H. Kaspersen
Introduction
201(4)
Advantages of wavelets
205(1)
Experimental details
205(3)
Approach
208(4)
Methodology
208(1)
Estimation of the false-alarm rate
209(2)
Estimation of the probability of detection
211(1)
Conventional coherent structure detectors
212(3)
Quadrant analysis (Q2)
212(1)
Variable Interval Time Average (VITA)
212(2)
Window Average Gradient (WAG)
214(1)
Wavelet-based coherent structure detectors
215(4)
Typical wavelet method (psi)
215(1)
Wavelet quadature method (Quad)
216(3)
Results
219(6)
Conclusions
225(2)
References
225(2)
Wavelets, non-linearity and turbulence in fusion plasmas
227(36)
B.Ph. van Milligen
Introduction
227(1)
Linear spectral analysis tools
228(6)
Wavelet analysis
228(3)
Wavelet spectra and coherence
231(2)
Joint wavelet phase-frequency spectra
233(1)
Non-linear spectral analysis tools
234(6)
Wavelet bispectra and bicoherence
234(3)
Interpretation of the bicoherence
237(3)
Analysis of computer-generated data
240(15)
Coupled van der Pol oscillators
242(3)
A large eddy simulation model for two-fluid plasma turbulence
245(4)
A long wavelength plasma drift wave model
249(6)
Analysis of plasma edge turbulence from Langmuir probe data
255(5)
Radial coherence observed on the TJ-IU torsatron
255(1)
Bicoherence profile at the L/H transition on CCT
256(4)
Conclusions
260(3)
References
261(2)
Transfers and fluxes of wind kinetic energy between orthogonal wavelet components during atmospheric blocking
263(36)
A. Fournier
Introduction
263(1)
Data and blocking description
264(1)
Analysis
265(11)
Conventional statistics
266(1)
Fundamental equations
266(1)
Review of statistical equations
267(1)
Review of Fourier based energetics
268(2)
Basic concepts from the theory of wavelet analysis
270(3)
Energetics in the domain of wavelet indices (or any orthogonal basis)
273(1)
Kinetic energy localized flux functions
274(2)
Results and interpretation
276(19)
Time averaged statistics
276(3)
Time dependent multiresolution analysis at fixed (φ, p)
279(4)
Kinetic energy transfer functions
283(12)
Concluding remarks
295(4)
References
296(3)
Wavelets in atomic physics and in solid state physics
299(40)
J.-P. Antoine
Ph. Antoine
B. Piraux
Introduction
299(2)
Harmonic generation in atom-laser interaction
301(13)
The physical process
301(1)
Calculation of the atomic dipole for a one-electron atom
302(2)
Time-frequency analysis of the dipole acceleration: H(1s)
304(9)
Extension to multi-electron atoms
313(1)
Calculation of multi-electronic wave functions
314(4)
The self-consistent Hartree-Fock method (HF)
315(2)
Beyond Hartree-Fock: inclusion of electron correlations
317(1)
CWT realization of a 1-D HF equation
317(1)
Other applications in atomic physics
318(2)
Combination of wavelets with moment methods
318(1)
Wavelets in plasma physics
319(1)
Electronic structure calculations
320(7)
Principle
320(1)
A non-orthogonal wavelet basis
321(3)
Orthogonal wavelet bases
324(2)
Second generation wavelets
326(1)
Wavelet-like orthonormal bases for the lowest Landau level
327(7)
The Fractional Quantum Hall Effect setup
328(1)
The LLL basis problem
329(1)
Wavelet-like bases
330(3)
Further variations on the same theme
333(1)
Outcome: what have wavelet brought to us?
334(5)
References
335(4)
The thermodynamics of fractals revisited with wavelets
339(52)
A. Arneodo
E. Bacry
J.F. Muzy
Introduction
340(3)
The multifractal formalism
343(5)
Microcanonical description
343(3)
Canonical description
346(2)
Wavelets and multifractal formalism for fractal functions
348(12)
The wavelet transform
348(1)
Singularity detection and processing with wavelets
349(1)
The wavelet transform modulus maxima method
350(7)
Phase transition in the multifractal spectra
357(3)
Multifractal analysis of fully developed turbulence data
360(6)
Wavelet analysis of local scaling properties of a turbulent velocity signal
361(2)
Determination of the singularity spectrum of a turbulent velocity signal with the WTMM method
363(3)
Beyond multifractal analysis using wavelets
366(11)
Solving the inverse fractal problem from wavelet analysis
367(6)
Wavelet transform and renormalization of the transition to chaos
373(4)
Uncovering a Fibonacci multiplicative process in the arborescent fractal geometry of diffusion-limited aggregates
377(7)
Conclusion
384(7)
References
385(6)
Wavelets in medicine and physiology
391(30)
P.Ch. Ivanov
A.L. Goldberger
S. Havlin
C.-K. Peng
M.G. Rosenblum
H.E. Stanley
Introduction
391(3)
Nonstationary physiological signals
394(2)
Wavelet transform
396(1)
Hilbert transform
397(3)
Universal distribution of variations
400(5)
Wavelets and scale invariance
405(2)
A diagnostic for health vs. disease
407(1)
Information in the Fourier phases
408(4)
Concluding remarks
412(9)
References
413(8)
Wavelet dimension and time evolution
421(28)
Ch.-A. Guerin
M. Holschneider
Introduction
421(4)
The lacunarity dimension
425(4)
Quantum chaos
429(1)
The generalized wavelet dimensions
430(3)
Time evolution and wavelet dimensions
433(2)
Appendix
435(14)
References
446(3)
Index 449

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