Dynamic Compressive Sensing of Time-Varying Signals via Approximate Message Passing
Justin ZinielPhilip SchniterPublished in: CoRR (2012)
Keyphrases
- message passing
- compressive sensing
- inference in graphical models
- signal reconstruction
- signal processing
- belief propagation
- distributed systems
- sparse representation
- random projections
- approximate inference
- compressive sampling
- image representation
- sum product algorithm
- computer vision
- graph cuts
- data sets
- graphical models
- dynamic programming
- reinforcement learning
- face recognition