Gradient projection for linearly constrained convex optimization in sparse signal recovery.
Zachary T. HarmanyDaniel ThompsonRebecca WillettRoummel F. MarciaPublished in: ICIP (2010)
Keyphrases
- signal recovery
- convex optimization
- gradient projection
- linearly constrained
- low rank and sparse
- variational inequalities
- linear constraints
- primal dual
- convex sets
- low rank
- compressed sensing
- convex relaxation
- total variation
- dictionary learning
- compressive sensing
- orthogonal matching pursuit
- projections onto convex sets
- expectation maximization
- feature selection
- sparse representation
- object recognition