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Spline and Spline Wavelet Methods with Applications to Signal and Image Processing

Overview of attention for book
Cover of 'Spline and Spline Wavelet Methods with Applications to Signal and Image Processing'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction: Signals and Transforms
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    Chapter 2 Introduction: Digital Filters and Filter Banks
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    Chapter 3 Mixed Convolutions and Zak Transforms
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    Chapter 4 Non-periodic Polynomial Splines
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    Chapter 5 Quasi-interpolating and Smoothing Local Splines
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    Chapter 6 Cubic Local Splines on Non-uniform Grid
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    Chapter 7 Splines Computation by Subdivision
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    Chapter 8 Polynomial Spline-Wavelets
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    Chapter 9 Non-periodic Discrete Splines
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    Chapter 10 Non-periodic Discrete-Spline Wavelets
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    Chapter 11 Biorthogonal Wavelet Transforms
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    Chapter 12 Biorthogonal Wavelet Transforms Originating from Splines
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    Chapter 13 Data Compression Using Wavelet and Local Cosine Transforms
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    Chapter 14 Wavelet Frames Generated by Perfect Reconstruction Filter Banks
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    Chapter 15 Biorthogonal Multiwavelets Originated from Hermite Splines
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    Chapter 16 Multiwavelet Frames Originated From Hermite Splines
Attention for Chapter 15: Biorthogonal Multiwavelets Originated from Hermite Splines
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