Automatic Morse Code Recognition under Low SNR

DOI

10.2991/mecae-18.2018.46How to use a DOI?

Keywords

Morse code, automatic recognition, deep learning

Abstract

As an important means of communication, Morse has a wide range of applications in life such as medical treatment, radio broadcasts and so on. However, there has been no systematic method for automatic recognition of Morse codes. This paper designs a Morse code automatic recognition system that combines signal processing and deep learning algorithms. Through experimental analysis of each part of the system, an algorithm suitable for Morse was found and a better result was achieved.

Copyright

© 2018, 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  - Xianyu Wang
AU  - Qi Zhao
AU  - Cheng Ma
AU  - Jianping Xiong
PY  - 2018/03
DA  - 2018/03
TI  - Automatic Morse Code Recognition under Low SNR
BT  - Proceedings of the 2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/mecae-18.2018.46
DO  - 10.2991/mecae-18.2018.46
ID  - Wang2018/03
ER  -