Book contents
- Frontmatter
- Contents
- Preface
- Common Optimization Techniques, Equations, Symbols, and Acronyms
- Part I Dimensionality Reduction and Transforms
- 1 Singular Value Decomposition (SVD)
- 2 Fourier and Wavelet Transforms
- 3 Sparsity and Compressed Sensing
- Part II Machine Learning and Data Analysis
- Part III Dynamics and Control
- Part IV Reduced Order Models
- Glossary
- Bibliography
- Index
This chapter is part of a book that is no longer available to purchase from Cambridge Core
3 - Sparsity and Compressed Sensing
from Part I - Dimensionality Reduction and Transforms
Book contents
- Frontmatter
- Contents
- Preface
- Common Optimization Techniques, Equations, Symbols, and Acronyms
- Part I Dimensionality Reduction and Transforms
- 1 Singular Value Decomposition (SVD)
- 2 Fourier and Wavelet Transforms
- 3 Sparsity and Compressed Sensing
- Part II Machine Learning and Data Analysis
- Part III Dynamics and Control
- Part IV Reduced Order Models
- Glossary
- Bibliography
- Index
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- Data-Driven Science and EngineeringMachine Learning, Dynamical Systems, and Control, pp. 84 - 114Publisher: Cambridge University PressPrint publication year: 2019
- 3
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