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Compressive sensing: sparse signal recovery
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Classroom Contents
Sparse Matrices in Sparse Analysis - Anna Gilbert
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- 1 Intro
- 2 Compressive sensing: sparse signal recovery
- 3 Design problem
- 4 Parameters
- 5 Two approaches
- 6 Sparse matrices: Expander graphs
- 7 Applications: From polynomials to iPads
- 8 Definitions
- 9 Metric Repair Formally
- 10 Traditional Techniques
- 11 Three Repair Scenarios: Constrain P
- 12 Increase Only Metric Repair: Algorithms
