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Sparse and Redundant Representations

Michael Elad ()
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Michael Elad: Technion: Israel Institute of Technology, The Computer Science Department

in Springer Books from Springer

Date: 2010
ISBN: 978-1-4419-7011-4
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Chapters in this book:

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

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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprbok:978-1-4419-7011-4

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DOI: 10.1007/978-1-4419-7011-4

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