A non-convex regularization approach for compressive sensing.
Yaru FanAlessandro BucciniMarco DonatelliTing-Zhu HuangPublished in: Adv. Comput. Math. (2019)
Keyphrases
- compressive sensing
- structured sparsity
- trace norm
- image recovery
- group sparsity
- sparse representation
- random projections
- convex optimization problems
- convex optimization
- compressive sampling
- signal processing
- image representation
- convex sets
- low rank
- convex relaxation
- convex hull
- sparse approximation
- distributed source coding
- regularization parameter
- regularization term
- multiscale
- image processing
- neural network