Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Structural Sparsity in Multiple Measurements   We propose a novel sparsity model for distributed compressed sensing in the
multiple measurement vectors (MMV) setting. Our model extends the concept of
row-sparsity to allow more general types of structured sparsity arising in a
variety of applications like, e.g., seismic exploration and non-destructive
testing. To reconstruct structured data from observed measurements, we derive a
non-convex but well-conditioned LASSO-type functional. By exploiting the
convex-concave geometry of the functional, we design a projected gradient
descent algorithm and show its effectiveness in extensive numerical
simulations, both on toy and real data.

18
The categories of this paper are: econ
21
The categories of this paper are: adap-org
4
The categories of this paper are: cond-mat
16
The categories of this paper are: stat
19
The categories of this paper are: eess
6
The categories of this paper are: astro-ph
20
The categories of this paper are: acc-phys
22
The categories of this paper are: chao-dyn
32
The categories of this paper are: atom-ph
29
The categories of this paper are: funct-an
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The categories of this paper are: dg-ga
13
The categories of this paper are: quant-ph
10
The categories of this paper are: q-bio
3
The categories of this paper are: physics
5
The categories of this paper are: gr-qc
14
The categories of this paper are: math-ph