[2] SUN Bing,PENG Yaxiong,SU Ying.Denoising of mine blasting vibration signal based on adaptive CEEMDMPE algorithm[J].Blasting,2022,39(2):153158,185.(in Chinese)
[4] LU Liang,LONG Yuan,XIE Quanmin,et al.Application of lifting wavelet packet decomposing algorithm based on optimal basis in blasting vibration signal analysis[J].Journal of Vibration and Shock,2014,33(5):165169,186.(in Chinese)
[6] XIE Quanmin,LONG Yuan,ZHONG Mingshou,et al.Application of SGWT in separation of noises from a blast vibration signal[J].Journal of Vibration and Shock,2012,31(1):2428,43.(in Chinese)
[8] FEI Honglu,SHAN Jie.Application of CEEMDANWavelet threshold method in blasting vibration signal processing[J].Blasting,2022,39(3):4147,164.(in Chinese)
[10] SHI Anping,ZHOU Lv,WANG Cheng,et al.GBRAR bridge monitoring signal denoising based on EMD and wavelet threshold denoising[J].Bulletin of Surveying and Mapping,2022(S2):227232,240.(in Chinese)
[12] XIE Haijun,LI Jingrui,Dong Yi,et,al.Influence of wavelet base and threshold parameters on denoising effect of transient electromagnetic signal[J].Journal of Xi'an University of Science and Technology,2020,40(4):682690.(in Chinese)
[13] HUANG N E,SHEN Z,LONG S R.A new view of nonlinear water waves:The Hilbert Spectrum1[J].Annual Review of Fluid Mechanics,1999,31(1):417457.
[14] CHEN Y B,FENG Q.A technique to improve the empirical mode decomposition in the HilbertHuang transform[J].Earthquake Engineering and Engineering Vibration,2003,2(1):7585.
[16] ZHAO Ling,LIU Xiaofeng,QIN Shuren,et al.Use of masking signal to improve empirical mode decomposition[J].Journal of Vibration and Shock,2010,29(9):1317,239.(in Chinese)
[18] TANG Baoping,DONG Shaojiang,MA Jinghua.Study on the method for eliminating mode mixing of empirical mode decomposition based on independent component analysis[J].Chinese Journal of Scientific Instrument,2012,33(7):14771482.(in Chinese)
[20] YI Wenhua,LIU Liansheng,YAN Lei,et al.Vibration signal denoising based on improved EMD algorithm[J].Explosion and Shock Waves,2020,40(9):7787.(in Chinese)
[21] WANG C S,SHA C Y,SU M,et al.An algorithm to remove noise from locomotive bearing vibration signal based on selfadaptive EEMD filter[J].Journal of Central South University,2017,24(2):478488.
[22] WU E Q,WANG J,PENG X Y,et al.Fault diagnosis of rotating machinery using Gaussian process and EEMDtreelet[J].International Journal of Adaptive Control and Signal Processing,2019,33(1):5273.
[23] YEH J R,SHIEH J S,HUANG N E.Complementary ensemble empirical mode decomposition:a novel noise enhanced data analysis method[J].Advances in Adaptive Data Analysis,2010,2(2):135156.
[25] LIU Zhihui,XU Xingping,NIU Huailei,et al.A study on parameter identification of optimal noise reduction smooth model for vortexinduced vibration response of riser based on EEMD[J].Journal of Vibration and Shock,2022,41(12):254260.(in Chinese)
[27] CHEN Ke,ZHANG Xiaodong,LI Ning.Application of CEEMD and adaptive wavelet threshold combined noise reduction in the OPAX method[J].Journal of Vibration and Shock,2021,40(16):192198.(in Chinese)
[29] PENG Yaxiong,LIU Guangjin,SU Ying,et al.A smooth denoising model of tunnel blasting vibration signal based on VMD[J].Journal of Vibration and Shock,2021,40(24):173179.(in Chinese)
[31] ZHONG Cong,PENG Yuhui,HUANG Wei.Trajectory tracking control based on cosine similarity and varied prediction time domain[J].Journal of Fuzhou University(Natural Science Edition),2022,50(6):803810.(in Chinese)
[33] SUN Miao,WU Li,ZHOU Yuchun,et al.Optimal denoising smooth model of underwater drilling blasting seismic wave signal[J].Journal of South China University of Technology(Natural Science Edition),2019,47(8):3137.(in Chinese)
[36] WANG Hailong,ZHAO Yan,WANG Haijun,et al.Denoising method of tunnel blasting signal based on CEEMDAN decompositionwavelet packet analysis[J].Explosion and Shock Waves,2021,41(5):125137.(in Chinese)