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Sparse and Redundant Representations

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Sparse and Redundant Representations
Springer-Verlag New York

Table of Contents

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    Book Overview
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    Chapter 1 Prologue
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    Chapter 2 Uniqueness and Uncertainty
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    Chapter 3 Pursuit Algorithms – Practice
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    Chapter 4 Pursuit Algorithms – Guarantees
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    Chapter 5 From Exact to Approximate Solutions
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    Chapter 6 Iterative-Shrinkage Algorithms
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    Chapter 7 Towards Average PerformanceAnalysis
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    Chapter 8 The Dantzig-Selector Algorithm
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    Chapter 9 Sparsity-Seeking Methods in Signal Processing
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    Chapter 10 Image Deblurring – A Case Study
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    Chapter 11 MAP versus MMSE Estimation
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    Chapter 12 The Quest for a Dictionary
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    Chapter 13 Image Compression – Facial Images
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    Chapter 14 Image Denoising
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    Chapter 15 Other Applications
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    Chapter 16 Epilogue
Attention for Chapter 6: Iterative-Shrinkage Algorithms
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