Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Spectral Attention-Driven Intelligent Target Signal Identification on a
  Wideband Spectrum   This paper presents a spectral attention-driven reinforcement learning based
intelligent method for effective and efficient detection of important signals
in a wideband spectrum. In the work presented in this paper, it is assumed that
the modulation technique used is available as a priori knowledge of the
targeted important signal. The proposed spectral attention-driven intelligent
method is consists of two main components, a spectral correlation function
(SCF) based spectral visualization scheme and a spectral attention-driven
reinforcement learning mechanism that adaptively selects the spectrum range and
implements the intelligent signal detection. Simulations illustrate that the
proposed method can achieve high accuracy of signal detection while observation
of spectrum is limited to few ranges via effectively selecting the spectrum
ranges to be observed. Furthermore, the proposed spectral attention-driven
machine learning method can lead to an efficient adaptive intelligent spectrum
sensor designs in cognitive radio (CR) receivers.

33
The categories of this paper are: plasm-ph
9
The categories of this paper are: nlin
32
The categories of this paper are: atom-ph
21
The categories of this paper are: adap-org
13
The categories of this paper are: quant-ph
10
The categories of this paper are: q-bio
31
The categories of this paper are: ao-sci
29
The categories of this paper are: funct-an
37
The categories of this paper are: supr-con
34
The categories of this paper are: chem-ph
17
The categories of this paper are: q-fin
0
The categories of this paper are: hep-ph
30
The categories of this paper are: q-alg
2
The categories of this paper are: math
4
The categories of this paper are: cond-mat
18
The categories of this paper are: econ