ZHANG C G. Research on the application of wavelet analysis in signal denoising[D] . Chengdu: University of Electronic Science and Technology of China, 2012.
[15] 崔公哲, 张朝霞, 杨玲珍, 等. 一种改进的小波阈 值去噪算法 [ J] . 现 代 电 子 技 术, 2019, 42 ( 19) : 50-53, 58.
CUI G Z, ZHANG Z X, YANG L Z, et al. An improved wavelet threshold denoising algorithm [ J ] . Modern electronics technique, 2019, 42 ( 19 ) : 50 - 53, 58.
[16] 熊春宝, 于丽娜, 常翔宇. 基于 EEMD-小波阈值去噪的桥梁结构模态参数识别[ J]. 天津大学学报(自 然科学与工程技术版), 2020, 53(4): 378-385.
XIONG C B, YU L N, CHANG X Y. Modal parameter identification of bridge structures based on EEMDwavelet threshold denoising[ J] . Journal of Tianjin university ( science and technology ) , 2020, 53 ( 4 ) : 378-385.
[17] 饶国强, 冯辅周, 司爱威, 等. 排列熵算法参数的 优化确 定 方 法 研 究 [ J ] . 振 动 与 冲 击, 2014, 33 (1) : 188-193.
RAO G Q, FENG F Z, SI A W, et al. Method for optimal determination of parameters in permutation entropy algorithm [ J ] . Journal of vibration and shock, 2014, 33(1) : 188-193.
[18] 闫祥海, 周志立, 李忠利. 拖拉机动力输出轴载荷 经验模态分解软阈值降噪研究[ J] . 西安交通大学 学报, 2019, 53(5) : 67-72, 122.
YAN X H, ZHOU Z L, LI Z L. Study on the noise reduction of tractor power take-off load by empirical mode decomposition soft-threshold method[ J]. Journal of Xi′ an Jiaotong university, 2019, 53 ( 5 )