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
2 - Fourier and Wavelet Transforms
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
Summary
A summary is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
- Type
- Chapter
- Information
- Data-Driven Science and EngineeringMachine Learning, Dynamical Systems, and Control, pp. 47 - 83Publisher: Cambridge University PressPrint publication year: 2019
- 5
- Cited by