Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Training a U-Net based on a random mode-coupling matrix model to recover
  acoustic interference striations   A U-Net is trained to recover acoustic interference striations (AISs) from
distorted ones. A random mode-coupling matrix model is introduced to generate a
large number of training data quickly, which are used to train the U-Net. The
performance of AIS recovery of the U-Net is tested in range-dependent
waveguides with nonlinear internal waves (NLIWs). Although the random
mode-coupling matrix model is not an accurate physical model, the test results
show that the U-Net successfully recovers AISs under different signal-to-noise
ratios (SNRs) and different amplitudes and widths of NLIWs for different
shapes.

26
The categories of this paper are: bayes-an
8
The categories of this paper are: hep-ex
15
The categories of this paper are: nucl-ex
35
The categories of this paper are: mtrl-th
4
The categories of this paper are: cond-mat
27
The categories of this paper are: comp-gas
34
The categories of this paper are: chem-ph
0
The categories of this paper are: hep-ph
5
The categories of this paper are: gr-qc
12
The categories of this paper are: nucl-th
28
The categories of this paper are: alg-geom
21
The categories of this paper are: adap-org
13
The categories of this paper are: quant-ph
11
The categories of this paper are: hep-lat
23
The categories of this paper are: solv-int
31
The categories of this paper are: ao-sci