Neural nets for radio morse code recognizing

Hsin Chia Fu, Y. Y. Lin, Hsiao-Tien Pao

研究成果: Conference contribution

摘要

This paper proposes a neural network recognition system for hand keying Radio Morse codes. The system has been trained and tested on real world data recorded from amateur radio Morse codes. The overall recognizing process can be partitioned into 3 major parts, the preprocessing, the feature extracting, and the character decoding. The whole operation is able to be performed in real-time on a PC/486 system. Self-Organizing Maps are used intensively in the recognition system to adaptively learn the variation of the Morse code signal. The average performance of the recognition system has been achieved about 96.4% with a rejection rate of 6.5%. It is hoped that many of the techniques would be applicable to a wide range of DSP and recognition tasks.

原文English
主出版物標題APPLICATIONS OF ARTIFICIAL NEURAL NETWORKS IV
發行者SPIE-INT SOC OPTICAL ENGINEERING
頁面334-345
頁數12
1965
ISBN(列印)0819412015
DOIs
出版狀態Published - 2 九月 1993
事件Applications of Artificial Neural Networks IV 1993 - Orlando, United States
持續時間: 11 四月 199316 四月 1993

出版系列

名字Proceedings of SPIE - The International Society for Optical Engineering
發行者SPIE
ISSN(列印)0277-786X

Conference

ConferenceApplications of Artificial Neural Networks IV 1993
國家United States
城市Orlando
期間11/04/9316/04/93

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