| 全光纤安防系统模式识别及混合编程 |
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| 引用本文： | 赵杰,丁吉,万遂人,孙小菡. 全光纤安防系统模式识别及混合编程[J]. 微计算机信息, 2011, 0(3) |
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| 作者姓名： | 赵杰 丁吉 万遂人 孙小菡 |
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| 作者单位： | 东南大学生物科学与医学工程学院; |
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| 摘 要： | 介绍了全光纤监控预警系统及其模式识别算法。利用小波包分解对信号提取各频段内信号分量能量谱作为特征向量;应用速度与精度均非常出色的RBF神经网络实现信号分类,提高网络泛化能力。利用MATLAB引擎、组件对象模型(COM)两种混合编程方法实现将MATLAB算法程序集成到VC编写的系统平台中。使用文本文件存取网络数据,克服了MATLAB无法编译神经网络工具箱函数的缺陷,并从操作复杂度、执行时间、消耗内存等方面对两种方式进行对比,最终选定组件对象模型作为系统应用方案。
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| 关 键 词： | 光纤扰动信号 模式识别 小波包分解 RBF神经网络 混合编程 |
Pattern Recognition and Mixed Programming in All Fiber Security Monitoring System |
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| ZHAO Jie DING Ji WANG Sui-ren SUN Xiao-han. Pattern Recognition and Mixed Programming in All Fiber Security Monitoring System[J]. Control & Automation, 2011, 0(3) |
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| Authors: | ZHAO Jie DING Ji WANG Sui-ren SUN Xiao-han |
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| Affiliation: | ZHAO Jie DING Ji WANG Sui-ren SUN Xiao-han(School of Biological Science and Medical Engineering Southeast University Nanjing,210096,China)(School of Electronic Science and Engineering Southeast University Nanjing 210096,China) |
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| Abstract: | This paper presents an all fiber security monitoring system and pattern recognition algorithm on fiber disturbance signal.Wavelet packet is a method of analyzing and reconstructing signal,we apply it to extract feature vector.Classification is realized by RBF neural network,whose speed and precision are both quit good.Pattern recognition algorithm is developed with MATALB and integrated into the application developed with VC through two mixed programming methods:MATLAB engine,and component objective model(C... |
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| Keywords: | fiber disturbance signal pattern recognition wavelet packet RBF neural network mixed programming |
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