Laser & Optoelectronics Progress, Volume. 59, Issue 7, 0706004(2022)

Research and Application of Sample Entropy Feature Extraction Based on Local Mean Decomposition

Hongquan Qu1、*, Xiang Ji1, Zhiyong Sheng1, Hongbin Qu2, and Ling Wang3
Author Affiliations
  • 1School of Information, North China University of Technology, Beijing 100144, China
  • 2International Business Department of China Petroleum Pipeline Bureau Engineering Co., Ltd., Langfang , HeBei 065000, China
  • 3Asia Pacific Branch of China Petroleum Pipeline Bureau Engineering Co., Ltd., Langfang , HeBei 065000, China
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    Figures & Tables(11)
    Flow chart of feature extraction and classification for optical fiber vibration signal
    Decomposition flow chart of LMD and EMD methods
    Time domain diagram and spectrogram of x(t). (a) Time domain diagram; (b) spectrogram
    Instantaneous amplitude and frequency obtained by different methods. (a) LMD method; (b) EMD method
    Decomposition results of different methods. (a) LMD method; (b) EMD method
    Two-dimensional feature distribution map of the signal
    Signal reconstructed by LMD method. (a) Car cross signal; (b) electric pick signal; (c) noise; (d) pickaxe signal
    Sample entropy and energy distribution of LMD. (a) Car cross signal; (b) electric pick signal; (c) noise; (d) pickaxe signal
    Flow chart of the classification and identification method
    Confusion matrices for different methods. (a) LMD method; (b) EMD method
    Optical fiber signal recognition accuracy of different methods
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    Hongquan Qu, Xiang Ji, Zhiyong Sheng, Hongbin Qu, Ling Wang. Research and Application of Sample Entropy Feature Extraction Based on Local Mean Decomposition[J]. Laser & Optoelectronics Progress, 2022, 59(7): 0706004

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    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: May. 26, 2021

    Accepted: Jun. 28, 2021

    Published Online: Mar. 8, 2022

    The Author Email: Hongquan Qu (qhqphd@ncut.edu.cn)

    DOI:10.3788/LOP202259.0706004

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