Name
Abstract | ||
|---|---|---|
We consider the problem of recovering off-the-grid spikes from Fourier measurements. Successful methods such as sliding Frank-Wolfe and continuous orthogonal matching pursuit (OMP) iteratively add spikes to the solution then perform a costly (when the number of spikes is large) descent on all parameters at each iteration. In 2D, it was shown that performing a projected gradient descent (PGD) from a gridded over-parametrized initialization was faster than continuous orthogonal matching pursuit. In this paper, we propose an off-the-grid over-parametrized initialization of the PGD based on OMP that permits to fully avoid grids and gives faster results in 3D. |
Year | Venue | DocType |
|---|---|---|
2022 | European Signal Processing Conference (EUSIPCO) | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pierre-Jean Bénard | 1 | 0 | 0.34 |
| Yann Traonmilin | 2 | 0 | 0.68 |
| Jean-François Aujol | 3 | 2 | 1.04 |