Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Gridless Line Spectral Estimation with Multiple Measurement Vector via
  Variational Bayesian Inference   Line spectral estimation (LSE) from multi snapshot samples is studied
utilizing the variational Bayesian methods. Motivated by the recently proposed
variational line spectral estimation (VALSE) method for a single snapshot, we
develop the multisnapshot VALSE (MVALSE) for multi snapshot scenarios, which is
important for array processing. The MVALSE shares the advantages of the VALSE
method, such as automatically estimating the model order, noise variance and
weight variance, closed-form updates of the posterior probability density
function (PDF) of the frequencies. By using multiple snapshots, MVALSE improves
the recovery performance and it encodes the prior distribution naturally.
Finally, numerical results demonstrate the competitive performance of the
MVALSE compared to state-of-the-art methods.

11
The categories of this paper are: hep-lat
14
The categories of this paper are: math-ph
33
The categories of this paper are: plasm-ph
32
The categories of this paper are: atom-ph
35
The categories of this paper are: mtrl-th
21
The categories of this paper are: adap-org
30
The categories of this paper are: q-alg
15
The categories of this paper are: nucl-ex
22
The categories of this paper are: chao-dyn
27
The categories of this paper are: comp-gas
6
The categories of this paper are: astro-ph
5
The categories of this paper are: gr-qc
7
The categories of this paper are: hep-th
0
The categories of this paper are: hep-ph
12
The categories of this paper are: nucl-th
24
The categories of this paper are: dg-ga