| 辅助式小波神经网络的调制识别技术 |
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| 引用本文： | 廖艳苹,谢红,杨莘元. 辅助式小波神经网络的调制识别技术[J]. 应用科技, 2006, 33(4): 24-26 |
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| 作者姓名： | 廖艳苹 谢红 杨莘元 |
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| 作者单位： | 哈尔滨工程大学,信息与通信工程学院,黑龙江,哈尔滨,150001 |
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| 摘 要： | 将小波特征提取和反向传播神经网络理论相结合，设计一种辅助式小波神经网络结构，根据接收到的调制信号进行抽样后，将所提出的辅助式小波神经网络用于几种调制信号的识别，实验结果表明，辅助式小波神经网络的鲁棒性能好，对调制识别技术的正确识别率高．
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| 关 键 词： | 神经网络 小波变换 调制识别 |
| 文章编号： | 1009-671X（2006）04-0024-03 |
| 收稿时间： | 2005-01-06 |
| 修稿时间： | 2005-01-06 |
Recognition of modulation using assistant wavelet neural network |
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| LIAO Yan-ping,XIE Hong,YANG Shen-yuan. Recognition of modulation using assistant wavelet neural network[J]. Applied Science and Technology, 2006, 33(4): 24-26 |
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| Authors: | LIAO Yan-ping XIE Hong YANG Shen-yuan |
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| Abstract: | By intergrating wavelet features extraction with back propogation neural network, a new auxilary wavelet neural network is proposed. Based on the sampling of the received signal, the wavelet neural network is applied to recogniton of different practical modulated signals. Experiment results indicate that the wavelet neural network has good robustness and higher correct recognition rate. |
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| Keywords: | neural network wavelet transform modulation recognition |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
