Analysis of the algorithm of the dual spectrum feature extraction of communication radio station

DOI

10.2991/aiea-16.2016.2How to use a DOI?

Keywords

Double spectrum; Higher-order Statistics; Fourier; Feature extraction; Pattern identification.

Abstract

In order to study the characteristics of double spectrum radio signals, based on higher order statistics and the double spectrum definition and properties, using two kinds of direct and indirect bispectrum feature extraction algorithm, and two kinds of radio signal bispectrum estimation is simulated. Therefore, it is concluded that the higher order statistics to inhibit Gauss process.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wenle Yuan
AU  - Xuanmin Lu
AU  - Wensheng Luo
AU  - Jinjie Cao
PY  - 2016/11
DA  - 2016/11
TI  - Analysis of the algorithm of the dual spectrum feature extraction of communication radio station
BT  - Proceedings of the 2016 International Conference on Artificial Intelligence and Engineering Applications
PB  - Atlantis Press
SP  - 8
EP  - 13
SN  - 2352-538X
UR  - https://doi.org/10.2991/aiea-16.2016.2
DO  - 10.2991/aiea-16.2016.2
ID  - Yuan2016/11
ER  -