Jump-Sparse and Sparse Recovery Using Potts Functionals
Work
Year: 2014
Type: article
Abstract: We recover jump-sparse and sparse signals from blurred incomplete data corrupted by (possibly non-Gaussian) noise using inverse Potts energy functionals. We obtain analytical results (existence of min... more
Cites: 62
Cited by: 107
Related to: 10
FWCI: 10.94
Citation percentile (by year/subfield): 94
Subfield: Computational Mechanics
Field: Engineering
Domain: Physical Sciences
Sustainable Development Goal Affordable and clean energy
Open Access status: green