Laser & Optoelectronics Progress, Volume. 59, Issue 7, 0706004(2022)
Research and Application of Sample Entropy Feature Extraction Based on Local Mean Decomposition
Fig. 1. Flow chart of feature extraction and classification for optical fiber vibration signal
Fig. 3. Time domain diagram and spectrogram of x(t). (a) Time domain diagram; (b) spectrogram
Fig. 4. Instantaneous amplitude and frequency obtained by different methods. (a) LMD method; (b) EMD method
Fig. 5. Decomposition results of different methods. (a) LMD method; (b) EMD method
Fig. 7. Signal reconstructed by LMD method. (a) Car cross signal; (b) electric pick signal; (c) noise; (d) pickaxe signal
Fig. 8. Sample entropy and energy distribution of LMD. (a) Car cross signal; (b) electric pick signal; (c) noise; (d) pickaxe signal
Fig. 10. Confusion matrices for different methods. (a) LMD method; (b) EMD method
Get Citation
Copy Citation Text
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
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)