| 基于特征提取的调制识别方法研究 |
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| 引用本文： | 何继爱,刘 欢,张玺君.基于特征提取的调制识别方法研究[J].甘肃科学学报,2014(2):71-75. |
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| 作者姓名： | 何继爱 刘 欢 张玺君 |
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| 作者单位： | 兰州理工大学计算机与通信学院,甘肃兰州730050 |
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| 基金项目： | 甘肃省科技基金计划（1212RJYA033） |
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| 摘 要： | 基于特征提取的调制识别是通过分析信号在时域、频域或其他变换域的差异来提取信号的特征并对信号进行识别分类.针对调制信号载有信息的特点,从信号的瞬变信息、缓变信息以及提取方式等方面对特征提取方法进行研究,并对一些经典的信号特征以及基于时频分析的特征进行了分析,最后研究了两种分类器(神经网络和基于支持向量机)在基于特征提取的调制识别领域的应用.
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| 关 键 词： | 特征分解 瞬变信息 缓变信息 神经网络 支持向量机 |
Modulation Recognition Based on Feature Extraction |
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| HE Ji-ai,LIU Huan,ZHANG Xi-jun.Modulation Recognition Based on Feature Extraction[J].Journal of Gansu Sciences,2014(2):71-75. |
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| Authors: | HE Ji-ai LIU Huan ZHANG Xi-jun |
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| Institution: | (School of Computer and Communication ,Lanzhou University of Technology ,Lanzhou 730050 ,China) |
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| Abstract: | Modulation recognition based on feature extraction is a signal classification method of extrac- ting characteristic signals and classifying signal recognition by analyzing the differences of the signals in the time domain,frequency domain and/or the transform domain. According to the characteristics of modula- ting signals with information,we researched the extraction of transient information and slow-varying infor- mation of the signals and the signal extraction, and studied the classic signal characteristics based on time frequency analysis. Finally,the application of two classifiers （neural network and support vector machine） was discussed in the field of modulation recognition based on feature extraction. |
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| Keywords: | Feature decomposition Transient information Slow-varying information Neural network Support vector machines |
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