Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Binary Neutron Stars Gravitational Wave Detection Based on Wavelet
  Packet Analysis And Convolutional Neural Networks   This work investigates the detection of binary neutron stars gravitational
wave based on convolutional neural network (CNN). To promote the detection
performance and efficiency, we proposed a scheme based on wavelet packet (WP)
decomposition and CNN. The WP decomposition is a time-frequency method and can
enhance the discriminant features between gravitational wave signal and noise
before detection. The CNN conducts the gravitational wave detection by learning
a function mapping relation from the data under being processed to the space of
detection results. This function-mapping-relation style detection scheme can
detection efficiency significantly. In this work, instrument effects are
considered, and the noise are computed from a power spectral density (PSD)
equivalent to the Advanced LIGO design sensitivity. The quantitative
evaluations and comparisons with the state-of-art method matched filtering show
the excellent performances for BNS gravitational wave detection. On efficiency,
the current experiments show that this WP-CNN-based scheme is more than 960
times faster than the matched filtering.

15
The categories of this paper are: nucl-ex
8
The categories of this paper are: hep-ex
20
The categories of this paper are: acc-phys
14
The categories of this paper are: math-ph
5
The categories of this paper are: gr-qc
23
The categories of this paper are: solv-int
21
The categories of this paper are: adap-org
9
The categories of this paper are: nlin
24
The categories of this paper are: dg-ga
18
The categories of this paper are: econ
11
The categories of this paper are: hep-lat
37
The categories of this paper are: supr-con
29
The categories of this paper are: funct-an
17
The categories of this paper are: q-fin
16
The categories of this paper are: stat
26
The categories of this paper are: bayes-an