Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Asymptotically Optimal Estimation Algorithm for the Sparse Signal with
  Arbitrary Distributions   In this paper, we propose a sparse signal estimation algorithm that is
suitable for many wireless communication systems, especially for the future
millimeter wave and underwater communication systems. This algorithm is not
only asymptotically optimal, but also robust to the distribution of non-zero
entries of the sparse signal. Then, we derive its upper bound and lower bound,
and show that the Mean Square Error (MSE) of the proposed algorithm can
approach the Minimum Mean Square Error (MMSE) bound when the Signal Noise Ratio
(SNR) goes to infinite or zero. Numerical simulations verify our theoretical
analysis and also show that the proposed algorithm converges faster than
existing algorithms, e.g., TSR-DFT, AMP, etc.

36
The categories of this paper are: cmp-lg
33
The categories of this paper are: plasm-ph
28
The categories of this paper are: alg-geom
13
The categories of this paper are: quant-ph
5
The categories of this paper are: gr-qc
23
The categories of this paper are: solv-int
4
The categories of this paper are: cond-mat
12
The categories of this paper are: nucl-th
32
The categories of this paper are: atom-ph
25
The categories of this paper are: patt-sol
17
The categories of this paper are: q-fin
24
The categories of this paper are: dg-ga
35
The categories of this paper are: mtrl-th
3
The categories of this paper are: physics
26
The categories of this paper are: bayes-an
20
The categories of this paper are: acc-phys