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MFL

于 2017-03-22 发布 文件大小:491KB
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代码说明:

  基于改进BP神经网络算法的管道缺陷漏磁信号识别(Identification of magnetic flux leakage signals of Pipeline Defects Based on improved BP neural network algorithm)

文件列表:

双小波神经网络迭代的漏磁缺陷轮廓重构技术_徐超.pdf,700564,2005-01-14

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    2017-05-09 18:13:54下载
    积分:1
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    说明:  检测振动信号以及保存信号,实现信号的回放以及信号分析(Vibration signals and the preservation of signal detection, playback of the signals and signal analysis)
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    研究生时的现代信号处理的作业,小波包分析提取振动信号中的特征频率,欢迎大家下载学习。( Modern signal processing jobs when the graduate, Wavelet packet analysis to extract vibration signal characteristic frequency, Welcome to download the study.)
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  • MFL
    基于改进BP神经网络算法的管道缺陷漏磁信号识别(Identification of magnetic flux leakage signals of Pipeline Defects Based on improved BP neural network algorithm)
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    关于小波的matlab复合分析,含噪脉冲信号进行相关检测,高斯白噪声的生成程序。( Matlab wavelet analysis on complex, Noisy pulse correlation detection signal, Gaussian white noise generator.)
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