Completed
Method #2: Atomic norm minimization
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
Modal Analysis from Random and Compressed Samples
Automatically move to the next video in the Classroom when playback concludes
- 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
