Hardcover ISBN:  9780821806852 
Product Code:  CRMM/9 
133 pp 
List Price:  $41.00 
MAA Member Price:  $36.90 
AMS Member Price:  $32.80 
Electronic ISBN:  9781470438555 
Product Code:  CRMM/9.E 
133 pp 
List Price:  $38.00 
MAA Member Price:  $34.20 
AMS Member Price:  $30.40 

Book DetailsCRM Monograph SeriesVolume: 9; 1998MSC: Primary 26; 42;
Physicists and mathematicians are intensely studying fractal sets of fractal curves. Mandelbrot advocated modeling of reallife signals by fractal or multifractal functions. One example is fractional Brownian motion, where largescale behavior is related to a corresponding infrared divergence. Selfsimilarities and scaling laws play a key role in this new area.
There is a widely accepted belief that wavelet analysis should provide the best available tool to unveil such scaling laws. And orthonormal wavelet bases are the only existing bases which are structurally invariant through dyadic dilations.
This book discusses the relevance of wavelet analysis to problems in which selfsimilarities are important. Among the conclusions drawn are the following: 1) A weak form of selfsimilarity can be given a simple characterization through size estimates on wavelet coefficients, and 2) Wavelet bases can be tuned in order to provide a sharper characterization of this selfsimilarity.
A pioneer of the wavelet “saga”, Meyer gives new and as yet unpublished results throughout the book. It is recommended to scientists wishing to apply wavelet analysis to multifractal signal processing.ReadershipGraduate students, research mathematicians, physicists, and other scientists working in wavelet analysis.

Table of Contents

Chapters

Introduction

Scaling exponents at small scales

Infrared divergences and Hadamard’s finite parts

The 2microlocal spaces $C^{s,s^{\prime }}_{x_0}$

New characterizations of the twomicrolocal spaces

An adapted wavelet basis

Combining a Wilson basis with a wavelet basis


Reviews

This monograph grew out of five lectures given by the author at the University of Montreal on the theme of multifractal analysis. It exposes and completes the work of S. Jafffard and the author on pointwise regularity and local oscillations of functions, and several mathematical aspects of the recent work of A. Arnéodo on multifractals are studied.
Mathematical Reviews 
Meyer's book is sprinkled throughout with a fascinating collection of examples and counterexamples. Meyer's book is suitable for professional researchers in function theory, or as a text for an advanced graduate seminar. Meyer writes in a compressed yet lucid style which invites the reader's participation.
Bulletin of the London Mathematical Society 
Tools from applications have been used in wavelet analysis to great advantage, and powerful methods from wavelet algorithms have in turn found an impressive host of recent practical applications. This exchange of ideas is masterfully brought to light in Meyer's book. Meyer giving lucid explanation of the key concepts.
Palle Jorgensen


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 Book Details
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Physicists and mathematicians are intensely studying fractal sets of fractal curves. Mandelbrot advocated modeling of reallife signals by fractal or multifractal functions. One example is fractional Brownian motion, where largescale behavior is related to a corresponding infrared divergence. Selfsimilarities and scaling laws play a key role in this new area.
There is a widely accepted belief that wavelet analysis should provide the best available tool to unveil such scaling laws. And orthonormal wavelet bases are the only existing bases which are structurally invariant through dyadic dilations.
This book discusses the relevance of wavelet analysis to problems in which selfsimilarities are important. Among the conclusions drawn are the following: 1) A weak form of selfsimilarity can be given a simple characterization through size estimates on wavelet coefficients, and 2) Wavelet bases can be tuned in order to provide a sharper characterization of this selfsimilarity.
A pioneer of the wavelet “saga”, Meyer gives new and as yet unpublished results throughout the book. It is recommended to scientists wishing to apply wavelet analysis to multifractal signal processing.
Graduate students, research mathematicians, physicists, and other scientists working in wavelet analysis.

Chapters

Introduction

Scaling exponents at small scales

Infrared divergences and Hadamard’s finite parts

The 2microlocal spaces $C^{s,s^{\prime }}_{x_0}$

New characterizations of the twomicrolocal spaces

An adapted wavelet basis

Combining a Wilson basis with a wavelet basis

This monograph grew out of five lectures given by the author at the University of Montreal on the theme of multifractal analysis. It exposes and completes the work of S. Jafffard and the author on pointwise regularity and local oscillations of functions, and several mathematical aspects of the recent work of A. Arnéodo on multifractals are studied.
Mathematical Reviews 
Meyer's book is sprinkled throughout with a fascinating collection of examples and counterexamples. Meyer's book is suitable for professional researchers in function theory, or as a text for an advanced graduate seminar. Meyer writes in a compressed yet lucid style which invites the reader's participation.
Bulletin of the London Mathematical Society 
Tools from applications have been used in wavelet analysis to great advantage, and powerful methods from wavelet algorithms have in turn found an impressive host of recent practical applications. This exchange of ideas is masterfully brought to light in Meyer's book. Meyer giving lucid explanation of the key concepts.
Palle Jorgensen