Over the last two years, wavelet methods have shown themselves to be of considerable use to harmonic analysts and, in particular, advances have been made concerning their applications. The strength of wavelet methods lies in their ability to describe local phenomena more accurately than a traditiona
Wavelets and operators
β Scribed by Meyer, Yves
- Publisher
- Cambridge University Press
- Year
- 2004;1993
- Tongue
- English
- Leaves
- 241
- Series
- Cambridge studies in advanced mathematics 37
- Edition
- Transferred to digital print
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Table of Contents
Cover......Page 1
Title Page......Page 4
Copyright page......Page 5
Contents......Page 6
Preface to the English Edition......Page 11
Introduction......Page 12
1 Fourier series and integrals, filtering and sampling......Page 18
1 Introduction......Page 18
2 Fourier series......Page 18
3 Fourier integrals......Page 24
4 Filtering and sampling......Page 26
5 'Wavelets' in the work of Lusin and Calderon......Page 31
2 Multiresolution approximations of L^2(R^n)......Page 35
1 Introduction......Page 35
2 Multiresolution approximation: definition and examples......Page 39
3 Riesz bases and orthonormal bases......Page 42
4 Regularity of the function phi......Page 46
5 Bernstein's inequalities......Page 47
6 A remarkable identity satisfied by the operator E_j......Page 49
7 Effectiveness of a multiresolution approximation......Page 58
......Page 62
9 Besov spaces......Page 67
10 The operators E_j and pseudo-differential operators......Page 71
11 Multiresolution approximations and finite elements......Page 74
12 Example: the Littlewood-paley multiresolution approximation......Page 77
13 Notes and comments......Page 79
3 Orthonormal wavelet bases......Page 83
1 Introduction......Page 83
2 The construction of wavelets in dimension 1......Page 88
3 Construction of wavelets in dimension 2 by the tensor product method......Page 98
4 The algorithm for constructing multi-dimensional wavelets......Page 100
5 Computing two-dimensional wavelets......Page 104
6 The general existence theorem for wavelet bases......Page 110
7 Cancellation of wavelets......Page 112
8 Wavelets with compact support......Page 113
9 Wavelets with compact support in higher dimensions......Page 124
10 Wavelets and spaces of functions and distributions......Page 126
11 Wavelet series and Fourier series......Page 129
12 Notes and comments......Page 141
4 Non-orthogonal wavelets......Page 147
1 Introduction......Page 147
2 Frames (or 'skew structures')......Page 148
3 Ingrid Daubechies' criterion......Page 149
4 Riesz Bases and Lp convergence......Page 150
5 Wavelets, the Hardy space Hl and its dual BMO......Page 155
1 Introduction......Page 155
2 Equivalent definitions of the space Hl(R.n)......Page 158
3 Atomic decomposition at the coefficient level......Page 161
4 Back to earth......Page 165
5 Atoms and molecules......Page 167
6 The space BMO of John and Nirenberg......Page 168
7 Maurey's theorem......Page 173
8 Notes and complementary remarks......Page 174
6 Wavelets and spaces of functions and distributions......Page 180
1 Introduction......Page 180
2 Criteria for belonging to L^p(R^n) and to L^{p,s}(R^n)......Page 181
3 Hardy spaces H^p(R^n ) with 0<p<1......Page 193
4 Holder spaces......Page 195
5 The Beurling algebra......Page 203
6 The hump algebra......Page 206
7 The space generated by special atoms......Page 209
8 The Bloch space B_{infty}^{0,infty}......Page 214
9 Characterization of continuous linear operators T : B_1^{0,1}-+B_1^{0,1}......Page 215
10 Wavelets and Besov spaces......Page 216
11 Holomorphic wavelets and Bochkariev's theorem......Page 219
12 Conclusion......Page 224
Bibliography......Page 225
New references on wavelets and their applications......Page 237
Index......Page 238
β¦ Subjects
Mathematics
π SIMILAR VOLUMES
Over the last two years, wavelet methods have shown themselves to be of considerable use to harmonic analysts and, in particular, advances have been made concerning their applications. The strength of wavelet methods lies in their ability to describe local phenomena more accurately than a traditiona
The mathematical theory of wavelets has proved to be a powerful tool for harmonic analysts, and an alternative to the standard theory of Fourier analysis. The aim of this first textbook is to describe the foundations of so-called wavelet analysis, emphasizing its roots in mathematics.
<p>This book is based on lectures given at the Global Analysis Research Center (GARC) of Seoul National University in 1999and at Peking University in 1999and 2000. Preliminary versions of the book have been used for various topics courses in analysis for graduate students at York University. We stud