[1] Rao Y J. Recent progress in ultra-long distributed fiber-optic sensing[J]. Acta Physica Sinica, 66, 074207(2017).
[2] Fu Q J, Yu M, Chang T Y et al. Summarization of pattern recognition method for phase sensitive optical time domain reflecting system[J]. Infrared and Laser Engineering, 47, 0722001(2018).
[3] Zhu R. Research on intrusion signal recognition method of optical fiber perimeter system[D](2019).
[4] Tabi Fouda B M, Han D Z, An B W et al. Research and software design of an Φ-OTDR based optical fiber vibration recognition algorithm[J]. Journal of Electrical and Computer Engineering, 1-13(2020).
[5] Song M P, Zhuang S W, Wang Y X. High-frequency vibration detection of phase-sensitive optical time-domain reflectometer[J]. Chinese Journal of Lasers, 47, 0506001(2020).
[6] Sun C B. Research on optical fiber vibration signal recognition algorithm based on stochastic neural network[D](2019).
[7] Zhang S H, He J P, Yu Q F et al. Multi-scale load identification system based on distributed optical fiber and local FBG-based vibration sensors[J]. Optik, 219, 165159(2020).
[8] Tian Q, Yuan S J, Qu H Q. Intrusion signal classification using stochastic configuration network with variable increments of hidden nodes[J]. Optical Engineering, 58, 026105(2019).
[9] Wang C, Liu Q W, Chen D et al. Monitoring pipeline leakage using fiber-optic distributed acoustic sensor[J]. Acta Optica Sinica, 39, 1006005(2019).
[10] Yang Z. Study on distributed optical fiber security detection system signal recognition[D], 1-61(2015).
[11] Zhao L, Liu H, Xu S C et al. Comparison study of optical fiber vibration signals using HHT and CWT[J]. Laser Technology, 41, 260-264(2017).
[12] Qin F B, Xu Z W, Chuo X Y et al. Seismic noise suppression based on empirical wavelet transformation[J]. China Petroleum Exploration, 23, 100-110(2018).
[13] Peng K, Feng C, Wang S M et al. Event discrimination method for distributed optical fiber intrusion sensing system based on integrated time/frequency domain feature extraction[J]. Acta Optica Sinica, 39, 0628002(2019).
[14] Wang Y P, Gong D J, Pang L P et al. RVFL-based optical fiber intrusion signal recognition with multi-level wavelet decomposition as feature[J]. Photonic Sensors, 8, 234-241(2018).
[15] Wu Q, Liu Y. De-noising method for gyroscope signal based on improved ensemble empirical mode decomposition[J]. Laser & Optoelectronics Progress, 57, 150601(2020).
[16] Chen Y, Chen Y W, Liu Z Q et al. A gear fault detection method based on a fiber Bragg grating sensor[J]. Chinese Journal of Lasers, 47, 0304007(2020).
[17] Qu H Q, Gong D J, Zhang C N et al. Feature extraction and recognition algorithm for fiber intrusion signals[J]. Laser & Optoelectronics Progress, 56, 130601(2019).
[18] Zheng J D, Pan H Y, Cheng J S et al. Adaptive empirical Fourier decomposition based mechanical fault diagnosis method[J]. Journal of Mechanical Engineering, 56, 125-136(2020).
[19] Wang L. Research on pattern recognition method for fiber vibration sensing system based on Michelson interferometer[D](2016).
[20] Singh P, Joshi S D, Patney R K et al. The Fourier decomposition method for nonlinear and non-stationary time series analysis[J]. Proceedings Mathematical Physical & Engineering Sciences, 473, 20160871(2017).
[21] Jain P, Pachori R B. An iterative approach for decomposition of multi-component non-stationary signals based on eigenvalue decomposition of the Hankel matrix[J]. Journal of the Franklin Institute, 352, 4017-4044(2015).
[22] Li J, Zhang X Y, Huang L X et al. A new pitch annotation search algorithm based on Hilbert-Huang transformation for speech synthesis[J]. Modern Electronics Technique, 41, 153-160(2018).