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Title Page |
2 |
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Copyright Page |
3 |
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Preface |
6 |
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Table of contents |
8 |
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List of Figures |
10 |
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1 Introduction |
12 |
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2 Least-squares approximation |
18 |
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2.1 Basic notations and properties |
18 |
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2.2 Fourier analysis |
23 |
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2.3 Fourier transforrn |
31 |
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3 Multiresolution |
46 |
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3.1 Multiresolution analysis |
46 |
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3.2 Function decomposition |
50 |
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3.3 Pyramid algorithm |
56 |
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3.4 Construction of rnultiresolution |
58 |
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4 Wavelets |
66 |
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4.1 Dilatation equation |
67 |
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4.2 Frequency domain |
70 |
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4.3 Matrix interpretation |
74 |
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4.4 Properties |
80 |
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4.5 Convergence |
86 |
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5 How to compute |
94 |
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5.1 Discrete wavelet transform |
94 |
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5.2 Daubechies wavelets |
104 |
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5.3 Biorthogonal wavelets |
106 |
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5.4 Cardinal B-splines |
109 |
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5.5 Interpolation wavelets |
116 |
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5.6 Second generation wavelets |
122 |
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5.7 Nonstandard wavelets |
127 |
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6 Analogy with filters |
134 |
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6.1 Signal |
134 |
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6.2 Filter |
137 |
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6.3 Orthogonal filter bank |
142 |
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6.4 Daubechies filters |
149 |
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6.5 Filter properties important for wavelets |
155 |
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7 Applications |
160 |
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7.1 Signal and image processing |
160 |
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7.2 Numerical modeling |
164 |
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Bibliography |
168 |
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Index |
172 |
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