| 分布式光纤传感信号特征提取方法研究 |
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| 引用本文： | 宋培培,万遂人.分布式光纤传感信号特征提取方法研究[J].世界科技研究与发展,2009,31(5):820-823. |
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| 作者姓名： | 宋培培 万遂人 |
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| 作者单位： | 东南大学生物科学与医学工程学院,医学电子学实验室,南京,210000 |
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| 摘 要： | 本文分析研究了分布式光纤传感信号的三种特征提取方法：MFCC参数特征提取法、小波包能量特征提取法和小波包Shannon熵特征提取法，并且用RBF神经网络分别进行了实验。实验识别结果表明，相比其他两种特征提取方法，小波包Shannon熵特征提取法能产生较好的识别结果。
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| 关 键 词： | 光纤传感信号 特征提取 Mel频率倒谱系数 小波包 Shannon熵 |
The Research on the Feature Extraction of the Distributed Fiber Sensing Signal |
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| SONG Peipei,WAN Suiren.The Research on the Feature Extraction of the Distributed Fiber Sensing Signal[J].World Sci-tech R & D,2009,31(5):820-823. |
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| Authors: | SONG Peipei WAN Suiren |
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| Institution: | (Southeast University, Medical Electronics Lab in BEM Department, Nanjing 210000) |
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| Abstract: | Ttiis paper analyses three methods of the feature extraction of the distributed fiber sensor signal,which take the MFCC,the wavelet packet energy and the wavelet packet Shannon entropy as feature parameter respectively, and does the recognition experiments using RBF neural network. The results show that compared the other two methods,the wavelet packet Shannon entropy feature extraction method can give a better recognition result. |
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| Keywords: | fiber sensor signal feature extraction MFCC wavelet packet Shannon entropy |
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