Name
Abstract | ||
|---|---|---|
We consider the recovery of a matrix X, which is simultaneously low rank and joint sparse, from few measurements of its columns using a two-step algorithm. Each column of K is measured using a combination of two measurement matrices; one which is the same for every column, while the second measurement matrix varies from column to column. The recovery proceeds by first estimating the row subspace v... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TCI.2016.2628352 | IEEE Transactions on Computational Imaging |
Keywords | Field | DocType |
Sparse matrices,Magnetic resonance imaging,Time measurement,Navigation,Jacobian matrices,Optimization | Computer vision,Mathematical optimization,Subspace topology,Matrix (mathematics),Regular polygon,Minification,Sampling (statistics),Artificial intelligence,Mathematics,Sparse matrix | Journal |
Volume | Issue | ISSN |
3 | 1 | 2573-0436 |
Citations | PageRank | References |
1 | 0.37 | 14 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sampurna Biswas | 1 | 5 | 1.46 |
| Soura Dasgupta | 2 | 679 | 96.96 |
| R. Mudumbai | 3 | 1020 | 70.72 |
| Mathews Jacob | 4 | 790 | 59.62 |