Sparse and Cosparse Audio Dequantization Using Convex Optimization.
Pavel ZáviskaPavel RajmicPublished in: TSP (2020)
Keyphrases
- convex optimization
- norm regularization
- basis pursuit
- low rank matrix
- post processing
- interior point methods
- low rank
- total variation
- convex relaxation
- group lasso
- primal dual
- sparse representation
- low rank textures
- low rank and sparse
- norm minimization
- high dimensional
- convex optimization problems
- signal processing
- convex formulation
- semidefinite program
- sparse matrix
- signal recovery
- image compression
- denoising