A robust computational framework for variational data assimilation of mean flows with sparse measurements corrupted by strong outliers.
Souvik GhoshVincent MonsDenis SippPeter J. SchmidPublished in: J. Comput. Phys. (2024)
Keyphrases
- computational framework
- robust statistics
- data assimilation
- computational model
- low rank representation
- optical flow
- kalman filter
- anomaly detection
- tensor voting
- high dimensional
- data points
- real time
- motion field
- sparse representation
- agent based simulation
- simulation models
- expectation maximization
- high quality
- image segmentation