Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Novel Sparse Recovery Algorithms for 3D Debris Localization using
  Rotating Point Spread Function Imagery   An optical imager that exploits off-center image rotation to encode both the
lateral and depth coordinates of point sources in a single snapshot can perform
3D localization and tracking of space debris. When actively illuminated,
unresolved space debris, which can be regarded as a swarm of point sources, can
scatter a fraction of laser irradiance back into the imaging sensor.
Determining the source locations and fluxes is a large-scale sparse 3D inverse
problem, for which we have developed efficient and effective algorithms based
on sparse recovery using non-convex optimization. Numerical simulations
illustrate the efficiency and stability of the algorithms.

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The categories of this paper are: patt-sol
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The categories of this paper are: alg-geom
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The categories of this paper are: math-ph
9
The categories of this paper are: nlin
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The categories of this paper are: eess
34
The categories of this paper are: chem-ph
5
The categories of this paper are: gr-qc
27
The categories of this paper are: comp-gas
8
The categories of this paper are: hep-ex
10
The categories of this paper are: q-bio
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The categories of this paper are: chao-dyn
31
The categories of this paper are: ao-sci
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The categories of this paper are: dg-ga
12
The categories of this paper are: nucl-th
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The categories of this paper are: bayes-an
0
The categories of this paper are: hep-ph