Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Bayesian Cram\'{e}r-Rao Bound for Noisy Non-Blind and Blind Compressed
  Sensing   In this paper, we address the theoretical limitations in reconstructing
sparse signals (in a known complete basis) using compressed sensing framework.
We also divide the CS to non-blind and blind cases. Then, we compute the
Bayesian Cramer-Rao bound for estimating the sparse coefficients while the
measurement matrix elements are independent zero mean random variables.
Simulation results show a large gap between the lower bound and the performance
of the practical algorithms when the number of measurements are low.

29
The categories of this paper are: funct-an
37
The categories of this paper are: supr-con
30
The categories of this paper are: q-alg
0
The categories of this paper are: hep-ph
23
The categories of this paper are: solv-int
10
The categories of this paper are: q-bio
13
The categories of this paper are: quant-ph
14
The categories of this paper are: math-ph
18
The categories of this paper are: econ
4
The categories of this paper are: cond-mat
15
The categories of this paper are: nucl-ex
25
The categories of this paper are: patt-sol
9
The categories of this paper are: nlin
12
The categories of this paper are: nucl-th
33
The categories of this paper are: plasm-ph
22
The categories of this paper are: chao-dyn