Book contents
- Frontmatter
- Dedication
- Contents
- Preface
- 1 Introduction
- Part I The Essentials of Compressive Imaging
- Part II Compressed Sensing, Optimization and Wavelets
- 5 An Introduction to Conventional Compressed Sensing
- 6 The LASSO and its Cousins
- 7 Optimization for Compressed Sensing
- 8 Analysis of Optimization Algorithms
- 9 Wavelets
- 10 A Taste of Wavelet Approximation Theory
- PART III Compressed Sensing with Local Structure
- Part IV Compressed Sensing for Imaging
- Part V From Compressed Sensing to Deep Learning
- Epilogue
- Appendices
- Notation
- Abbreviations
- References
- Index
9 - Wavelets
from Part II - Compressed Sensing, Optimization and Wavelets
Published online by Cambridge University Press: 16 July 2021
- Frontmatter
- Dedication
- Contents
- Preface
- 1 Introduction
- Part I The Essentials of Compressive Imaging
- Part II Compressed Sensing, Optimization and Wavelets
- 5 An Introduction to Conventional Compressed Sensing
- 6 The LASSO and its Cousins
- 7 Optimization for Compressed Sensing
- 8 Analysis of Optimization Algorithms
- 9 Wavelets
- 10 A Taste of Wavelet Approximation Theory
- PART III Compressed Sensing with Local Structure
- Part IV Compressed Sensing for Imaging
- Part V From Compressed Sensing to Deep Learning
- Epilogue
- Appendices
- Notation
- Abbreviations
- References
- Index
Summary
Keywords
- Type
- Chapter
- Information
- Compressive Imaging: Structure, Sampling, Learning , pp. 188 - 221Publisher: Cambridge University PressPrint publication year: 2021