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List of Figures | |
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List of Acronyms | |
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Preface | |
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Acknowledgments | |
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Analysis in Vector and Function Spaces | |
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Introduction | |
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The Lebesgue Integral | |
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Discrete Time Signals | |
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Vector Spaces | |
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Linear Independence | |
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Bases and Basis Vectors | |
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Normed Vector Spaces | |
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Inner Product | |
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Banach and Hilbert Spaces | |
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Linear Operators, Operator Norm, the Adjoint Operator | |
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Reproducing Kernel Hilbert Space | |
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The Dirac Delta Distribution | |
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Orthonormal Vectors | |
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Orthogonal Projections | |
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Multi-Resolution Analysis Subspaces | |
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Complete and Orthonormal Bases in L<sub>2</sub> (R) | |
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The Dirac Notation | |
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The Fourier Transform | |
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The Fourier Series Expansion | |
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The Discrete Time Fourier Transform | |
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The Discrete Fourier Transform | |
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Band-Limited Functions and the Sampling Theorem | |
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The Basis Operator in L<sub>2</sub>(R) | |
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Biorthogonal Bases and Representations in L<sub>2</sub> (R) | |
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Frames in a Finite Dimensional Vector Space | |
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Frames in L<sub>2</sub> (R) | |
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Dual Frame Construction Algorithm | |
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Exercises | |
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Linear Time-Invariant Systems | |
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Introduction | |
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Convolution in Continuous Time | |
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Convolution in Discrete Time | |
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Convolution of Finite Length Sequences | |
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Linear Time-Invariant Systems and the Z Transform | |
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Spectral Factorization for Finite Length Sequences | |
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Perfect Reconstruction Quadrature Mirror Filters | |
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Exercises | |
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Time, Frequency, and Scale Localizing Transforms | |
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Introduction | |
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The Windowed Fourier Transform | |
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The Windowed Fourier Transform Inverse | |
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The Range Space of the Windowed Fourier Transform | |
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The Discretized Windowed Fourier Transform | |
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Time-Frequency Resolution of the Windowed Fourier Transform | |
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The Continuous Wavelet Transform | |
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The Continuous Wavelet Transform Inverse | |
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The Range Space of the Continuous Wavelet Transform | |
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The Morlet, the Mexican Hat, and the Haar Wavelets | |
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Discretizing the Continuous Wavelet Transform | |
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Algorithm A' Trous | |
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The Morlet Scalogram | |
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Exercises | |
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The Haar and Shannon Wavelets | |
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Introduction | |
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Haar Multi-Resolution Analysis Subspaces | |
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Summary and Generalization of Results | |
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The Spectra of the Haar Filter Coefficients | |
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Half-Band Finite Impulse Response Filters | |
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The Shannon Scaling Function | |
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The Spectrum of the Shannon Filter Coefficients | |
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Meyer's Wavelet | |
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Exercises | |
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General Properties of Scaling and Wavelet Functions | |
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Introduction | |
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Multi-Resolution Analysis Spaces | |
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The Inverse Relations | |
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The Shift-Invariant Discrete Wavelet Transform | |
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Time Domain Properties | |
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Examples of Finite Length Filter Coefficients | |
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Frequency Domain Relations | |
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Orthogonalization of a Basis Set: b1 Spline Wavelet | |
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The Cascade Algorithm | |
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Biorthogonal Wavelets | |
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Multi-Resolution Analysis Using Biorthogonal Wavelets | |
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Exercises | |
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Discrete Wavelet Transform of Discrete Time Signals | |
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Introduction | |
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Discrete Time Data and Scaling Function Expansions | |
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Implementing the DWT for Even Length h0 Filters | |
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Denoising and Thresholding | |
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Biorthogonal Wavelets of Compact Support | |
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The Lazy Filters | |
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Exercises | |
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Wavelet Regularity and Daubechies Solutions | |
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Introduction | |
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Zero Moments of the Mother Wavelet | |
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The Form of H<sub>0</sub>(z) and the Decay Rate of �(�) | |
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Daubechies Orthogonal Wavelets of Compact Support | |
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Wavelet and Scaling Function Vanishing Moments | |
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Biorthogonal Wavelets of Compact Support | |
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Biorthogonal Spline Wavelets | |
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The Lifting Scheme | |
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Exercises | |
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Orthogonal Wavelet Packets | |
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Introduction | |
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Review of the Orthogonal Wavelet Transform | |
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Packet Functions for Orthonormal Wavelets | |
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Discrete Orthogonal Packet Transform of Finite Length Se-quences | |
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The Best Basis Algorithm | |
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Exercises | |
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Wavelet Transform in Two Dimensions | |
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Introduction | |
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The Forward Transform | |
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The Inverse Transform | |
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Implementing the Two-Dimensional Wavelet Transform | |
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Application to Image Compression | |
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Image Fusion | |
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Wavelet Descendants | |
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Exercises | |
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Bibliography | |
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Index | |