Proceedings of the 2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)

Automatic Morse Code Recognition under Low SNR

Authors
Xianyu Wang, Qi Zhao, Cheng Ma, Jianping Xiong
Corresponding Author
Xianyu Wang
Available Online March 2018.
DOI
https://doi.org/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.
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Proceedings
2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)
Part of series
Advances in Engineering Research
Publication Date
March 2018
ISBN
978-94-6252-493-4
ISSN
2352-5401
DOI
https://doi.org/10.2991/mecae-18.2018.46How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 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  - https://doi.org/10.2991/mecae-18.2018.46
ID  - Wang2018/03
ER  -