| 莫尔斯报务信号的检测和识别 |
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| 引用本文： | 陈莹莹,彭仕勇,高勇.莫尔斯报务信号的检测和识别[J].计算机应用与软件,2009,26(6):241-243. |
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| 作者姓名： | 陈莹莹 彭仕勇 高勇 |
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| 作者单位： | 1. 四川大学电子信息学院,四川,成都,610065
2. 四川大学电子信息学院,四川,成都,610065;中国人民解放军61902部队,四川,宜宾,644000 |
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| 摘 要： | 目前莫尔斯报务信号的接收译码主要采用人工值守方式,长期工作在这种环境下会给收报员的心理和生理带来很大的影响,研究能够部分取代人的信号自动检测与识别方法十分必要。基于短时傅立叶变换的特性,在时频域上对莫尔斯信号进行特征捕捉,并对捕捉到的莫尔斯信号采用模糊c均值聚类算法(FCM)实现种类识别,以区分莫尔斯信号的点、划和间隔。实验表明,该算法具有较好的识别效果,在莫尔斯报务的自动识别上具有一定的实用价值。
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| 关 键 词： | 莫尔斯码 短时傅里叶变换 模糊聚类 |
DETECTION AND RECOGNITION OF MORSE TELEGRAPH SIGNALS |
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| Chen Yingying,Peng Shiyong,Gao Yong.DETECTION AND RECOGNITION OF MORSE TELEGRAPH SIGNALS[J].Computer Applications and Software,2009,26(6):241-243. |
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| Authors: | Chen Yingying Peng Shiyong Gao Yong |
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| Affiliation: | College of Electronics and Information Engineering;Sichuan University;Chengdu 610065;Sichuan;China;PLA 61902 Unit;Yibin 644000;China |
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| Abstract: | At present the reception and decoding of Morse telegraph signals primarily require manual work,and the operators could be heavily affected mentally and physiologically under this environment,so there is a need on researching an automatic detection and recognition system that provides partial substitution for human effort.The characteristics of the Morse signal were captured in time-frequency field based on a short-time Fourier transformation.The sorts of Morse signal were recognized by fuzzy c-means cluster... |
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| Keywords: | Mores code Short-time fourier transform Fuzzy clustering |
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