Projected-Gradient-Descent in Rakeness-Based Compressed Sensing with Disturbance Rejection.
Mauro MangiaLetizia MagentaAlex MarchioniFabio PareschiRiccardo RovattiGianluca SettiPublished in: NGCAS (2018)
Keyphrases
- compressed sensing
- disturbance rejection
- image reconstruction
- closed loop
- control system
- random projections
- sparse representation
- natural images
- pid controller
- limit cycle
- objective function
- neural network
- control law
- higher order
- image restoration
- super resolution
- dimension reduction
- signal processing
- control method
- pattern recognition
- face recognition
- image sequences
- image segmentation
- real time