Book contents
- Frontmatter
- Contents
- List of contributors
- Preface
- 1 Introduction to compressed sensing
- 2 Second-generation sparse modeling: structured and collaborative signal analysis
- 3 Xampling: compressed sensing of analog signals
- 4 Sampling at the rate of innovation: theory and applications
- 5 Introduction to the non-asymptotic analysis of random matrices
- 6 Adaptive sensing for sparse recovery
- 7 Fundamental thresholds in compressed sensing: a high-dimensional geometry approach
- 8 Greedy algorithms for compressed sensing
- 9 Graphical models concepts in compressed sensing
- 10 Finding needles in compressed haystacks
- 11 Data separation by sparse representations
- 12 Face recognition by sparse representation
- Index
Contents
Published online by Cambridge University Press: 05 November 2012
- Frontmatter
- Contents
- List of contributors
- Preface
- 1 Introduction to compressed sensing
- 2 Second-generation sparse modeling: structured and collaborative signal analysis
- 3 Xampling: compressed sensing of analog signals
- 4 Sampling at the rate of innovation: theory and applications
- 5 Introduction to the non-asymptotic analysis of random matrices
- 6 Adaptive sensing for sparse recovery
- 7 Fundamental thresholds in compressed sensing: a high-dimensional geometry approach
- 8 Greedy algorithms for compressed sensing
- 9 Graphical models concepts in compressed sensing
- 10 Finding needles in compressed haystacks
- 11 Data separation by sparse representations
- 12 Face recognition by sparse representation
- Index
Summary
- Type
- Chapter
- Information
- Compressed SensingTheory and Applications, pp. v - viPublisher: Cambridge University PressPrint publication year: 2012