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Preface and Overview | |
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Inner Product Spaces | |
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Motivation | |
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Definition of Inner Product | |
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The Spaces L<sup>2</sup> and l<sup>2</sup> | |
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Definitions | |
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Convergence in L<sup>2</sup> Versus Uniform Convergence | |
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Schwarz and Triangle Inequalities | |
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Orthogonality | |
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Definitions and Examples | |
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Orthogonal Projections | |
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Gram-Schmidt Orthogonalization | |
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Linear Operators and Their Adjoints | |
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Linear Operators | |
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Adjoints | |
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Least Squares and Linear Predictive Coding | |
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Best-Fit Line for Data | |
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General Least Squares Algorithm | |
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Linear Predictive Coding | |
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Exercises | |
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Fourier Series | |
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Introduction | |
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Historical Perspective | |
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Signal Analysis | |
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Partial Differential Equations | |
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Computation of Fourier Series | |
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On the Interval -� ≤ x ≤ � | |
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Other Intervals | |
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Cosine and Sine Expansions | |
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Examples | |
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The Complex Form of Fourier Series | |
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Convergence Theorems for Fourier Series | |
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The Riemann-Lebesgue Lemma | |
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Convergence at a Point of Continuity | |
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Convergence at a Point of Discontinuity | |
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Uniform Convergence | |
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Convergence in the Mean | |
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Exercises | |
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The Fourier Transform | |
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Informal Development of the Fourier Transform | |
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The Fourier Inversion Theorem | |
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Examples | |
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Properties of the Fourier Transform | |
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Basic Properties | |
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Fourier Transform of a Convolution | |
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Adjoint of the Fourier Transform | |
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Plancherel Theorem | |
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Linear Filters | |
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Time-Invariant Filters | |
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Causality and the Design of Filters | |
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The Sampling Theorem | |
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The Uncertainty Principle | |
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Exercises | |
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Discrete Fourier Analysis | |
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The Discrete Fourier Transform | |
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Definition of Discrete Fourier Transform | |
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Properties of the Discrete Fourier Transform | |
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The Fast Fourier Transform | |
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The FFT Approximation to the Fourier Transform | |
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Application: Parameter Identification | |
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Application: Discretizations of Ordinary Differential Equations | |
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Discrete Signals | |
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Time-Invariant, Discrete Linear Filters | |
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Z-Transform and Transfer Functions | |
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Discrete Signals & Matlab | |
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Exercises | |
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Haar Wavelet Analysis | |
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Why Wavelets? | |
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Haar Wavelets | |
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The Haar Scaling Function | |
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Basic Properties of the Haar Scaling Function | |
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The Haar Wavelet | |
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Haar Decomposition and Reconstruction Algorithms | |
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Decomposition | |
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Filters and Diagrams | |
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Summary | |
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Exercises | |
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Multiresolution Analysis | |
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The Multiresolution Framework | |
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Definition | |
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The Scaling Relation | |
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The Associated Wavelet and Wavelet Spaces | |
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Decomposition and Reconstruction Formulas: A Tale of Two Bases | |
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Summary | |
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Implementing Decomposition and Reconstruction | |
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The Decomposition Algorithm | |
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The Reconstruction Algorithm | |
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Processing a Signal | |
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Fourier Transform Criteria | |
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The Scaling Function | |
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Orthogonality via the Fourier Transform | |
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The Scaling Equation via the Fourier Transform | |
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Iterative Procedure for Constructing the Scaling Function | |
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Exercises | |
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The Daubechies Wavelets | |
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Daubechies' Construction | |
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Classification, Moments, and Smoothness | |
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Computational Issues | |
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The Scaling Function at Dyadic Points | |
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Exercises | |
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Other Wavelet Topics | |
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Computational Complexity | |
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Wavelet Algorithm | |
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Wavelet Packets | |
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Wavelets in Higher Dimensions | |
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Exercises on 2D Wavelets | |
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Relating Decomposition and Reconstruction | |
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Transfer Function Interpretation | |
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Wavelet Transform | |
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Definition of the Wavelet Transform | |
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Inversion Formula for the Wavelet Transform | |
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Technical Matters | |
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Proof of the Fourier Inversion Formula | |
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Technical Proofs from Chapter 5 | |
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Rigorous Proof of Theorem 5.17 | |
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Proof of Theorem 5.10 | |
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Proof of the Convergence Part of Theorem 5.23 | |
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Solutions to Selected Exercises | |
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MATLAB“ Routines | |
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General Compression Routine | |
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Use of MATLAB's FFT Routine for Filtering and Compression306 | |
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Sample Routines Using MATLAB's Wavelet Toolbox | |
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MATLAB Code for the Algorithms in Section 5.2 | |
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Bibliography | |
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Index | |