Performance Analysis of Joint-Sparse Recovery from Multiple Measurement Vectors via Convex Optimization: Which Prior Information is Better?
Shih-Wei HuGang-Xuan LinSung-Hsien HsiehChun-Shien LuPublished in: IEEE Access (2018)
Keyphrases
- convex optimization
- prior information
- norm regularization
- prior knowledge
- basis pursuit
- bayesian inference
- interior point methods
- total variation
- low rank
- low rank matrix
- norm minimization
- convex relaxation
- high dimensional
- primal dual
- data sets
- convex optimization problems
- signal recovery
- sparse representation
- operator splitting