Completed
Intro
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Classroom Contents
Modal Analysis from Random and Compressed Samples
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- 1 Intro
- 2 Motivation
- 3 Data collection
- 4 Equations of motion
- 5 Free vibration
- 6 Modal analysis techniques
- 7 Sampling model
- 8 Joint sparse frequency estimation
- 9 Classical spectral estimation
- 10 Method #1: Proper Orthogonal Decomposition
- 11 SVD of data matrix
- 12 POD considerations
- 13 Minimum separation condition
- 14 Uniform time sampling
- 15 Experiment: Telegraph Bridge data
- 16 Experiment, ctd
- 17 Method #2: Atomic norm minimization
- 18 Synchronous random sampling
- 19 Random temporal compression
- 20 Random spatial compression
- 21 Benefits of compression
- 22 Sampling rate scaling
- 23 Orthogonality
- 24 Synchronous vs. asynchronous
- 25 More sensors
- 26 Open questions
