Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Cooperative Sparsity Pattern Recovery in Distributed Networks Via
  Distributed-OMP   In this paper, we consider the problem of collaboratively estimating the
sparsity pattern of a sparse signal with multiple measurement data in
distributed networks. We assume that each node makes Compressive Sensing (CS)
based measurements via random projections regarding the same sparse signal. We
propose a distributed greedy algorithm based on Orthogonal Matching Pursuit
(OMP), in which the sparse support is estimated iteratively while fusing
indices estimated at distributed nodes. In the proposed distributed framework,
each node has to perform less number of iterations of OMP compared to the
sparsity index of the sparse signal. Thus, with each node having a very small
number of compressive measurements, a significant performance gain in support
recovery is achieved via the proposed collaborative scheme compared to the case
where each node estimates the sparsity pattern independently and then fusion is
performed to get a global estimate. We further extend the algorithm to estimate
the sparsity pattern in a binary hypothesis testing framework, where the
algorithm first detects the presence of a sparse signal collaborating among
nodes with a fewer number of iterations of OMP and then increases the number of
iterations to estimate the sparsity pattern only if the signal is detected.

32
The categories of this paper are: atom-ph
11
The categories of this paper are: hep-lat
6
The categories of this paper are: astro-ph
10
The categories of this paper are: q-bio
35
The categories of this paper are: mtrl-th
15
The categories of this paper are: nucl-ex
3
The categories of this paper are: physics
20
The categories of this paper are: acc-phys
37
The categories of this paper are: supr-con
0
The categories of this paper are: hep-ph
31
The categories of this paper are: ao-sci
23
The categories of this paper are: solv-int
25
The categories of this paper are: patt-sol
19
The categories of this paper are: eess
24
The categories of this paper are: dg-ga
26
The categories of this paper are: bayes-an