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
2 - Fourier and Wavelet Transforms
from Part I - Dimensionality Reduction and Transforms
Published online by Cambridge University Press: 15 February 2019
- 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
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- Type
- Chapter
- Information
- Data-Driven Science and EngineeringMachine Learning, Dynamical Systems, and Control, pp. 47 - 83Publisher: Cambridge University PressPrint publication year: 2019
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