Abstract | ||
---|---|---|
We investigate the multi-dimensional super resolution problem on closed semi-algebraic domains for various sampling schemes such as Fourier or moments. We present a new semidefinite programming (SDP) formulation of the l1-minimization in the space of Radon measures in the multi-dimensional frame on semi-algebraic sets. While standard approaches have focused on SDP relaxations of the dual program (... |
Year | DOI | Venue |
---|---|---|
2015 | 10.1109/TIT.2016.2619368 | IEEE Transactions on Information Theory |
Keywords | Field | DocType |
Compressed sensing,Image resolution,Standards,Image reconstruction,Programming,Minimization,Radon | Mathematical optimization,Algebraic number,Fourier transform,Minification,Sampling (statistics),Gramian matrix,Superresolution,Mathematics,Semidefinite programming | Journal |
Volume | Issue | ISSN |
63 | 1 | 0018-9448 |
Citations | PageRank | References |
8 | 0.49 | 15 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yohann de Castro | 1 | 28 | 6.39 |
Fabrice Gamboa | 2 | 8 | 0.49 |
Didier Henrion | 3 | 23 | 1.61 |
Jean B. Lasserre | 4 | 8 | 0.49 |