Abstract
This letter considers the problem of recovering a positive stream of Diracs on a sphere from its projection onto the space of low-degree spherical harmonics, namely, from its low-resolution version. We suggest recovering the Diracs via a tractable convex optimization problem. The resulting recovery error is proportional to the noise level and depends on the density of the Diracs. We validate the theory by numerical experiments.
Original language | English |
---|---|
Article number | 7286741 |
Pages (from-to) | 2383-2386 |
Number of pages | 4 |
Journal | IEEE Signal Processing Letters |
Volume | 22 |
Issue number | 12 |
DOIs | |
State | Published - Dec 2015 |
Externally published | Yes |
Keywords
- Convex optimization
- spherical harmonics
- super-resolution