[1] [1] Mai Wei, Zhao Xiaoming, Zhang Jianfei, et al. Multivariate calibration of a UV-vis spectrophotometer used for online measurements of chemical oxygen demand in dyeing wastewater [J]. Spectroscopy and Spectral Analysis, 2017, 37(7): 2105-2109.

[2] [2] Tang Bin, Wei Biao, Wu Decao, et al. Experimental research of turbidity influence on water quality monitoring of COD in UV-visible spectroscopy [J]. Spectroscopy and Spectral Analysis, 2014, 34(11): 3020-3024.

[3] [3] Tang Bin, Wei Biao, Mao Benjiang, et al. Noise analysis and denoising research on the uv-visible absorption spectroscopy water quality detection system [J]. Laser & Optoelectronics Progress, 2014, 51(4): 201-207.

[4] [4] Fan Xianguang, Wang Xiufen, Wang Xin, et al. Research of the Raman signal de-noising method based on feature extraction [J]. Spectroscopy and Spectral Analysis, 2016, 36(12): 4082-4087.

[5] [5] Yang Liwei, Gao Xiaoqing, Jiang Junxia, et al. Short-term photovoltaic output power prediction based on wavelet transform and neural network [J]. Acta Energiae Solaris Sinica, 2020, 41(7): 152-157.

[6] [6] Dong Xin, Li Guolong, He Kun, et al. Spectral graph wavelet threshold denoising and its application to vibration signal analysis for hob spindle [J]. Journal of Mechanical Engineering, 2020, 56(11): 96-107.

[7] [7] Zhou Xianchun, Wu Ting, Shi Lanfang, et al. A kind of wavelet transform image denoising method based on curvature variation regularization [J]. Acta Electronica Sinica, 2018, 46(3): 621-628.

[8] [8] Prashar N, Sood M, Jain S. Dual-tree complex wavelet transform technique-based optimal threshold tuning system to deliver denoised ECG signal [J]. Transactions of the Institute of Measurement and Control, 2020, 42(4): 854-869.

[9] [9] Sha Yuyang, Xi Lixia, Zhang Xiaoguang, et al. Polarization mode dispersion measurement based on wavelet threshold denoising [J]. Chinese Journal of Lasers, 2018, 45(11): 1106006.

[10] [10] Yu Teng, Hu Wusheng, Wu Jie, et al. Extraction of runyang bridge vibration information based on a fusion method of wavelet threshold denoising and emd decomposition [J]. Journal of Vibration and Shock, 2019, 38(12): 264-270.

[11] [11] Bayer F M, Kozakevicius A J, Cintra R J. An iterative wavelet threshold for signal denoising [J]. Signal Processing, 2019, 162: 10-20.

[12] [12] Li Xinchun, Wu Qiutong. Wavelet threshold de-noising method of speech signal based on improved genetic algorithm [J]. Laser Journal, 2015, 36(1): 62-65.

[13] [13] Mao Yachun, Ding Ruibo, Liu Shanjun, et al. Research on inversion model of low-grade porphyry copper deposit based on visible-near infrared spectroscopy [J]. Spectroscopy and Spectral Analysis, 2020, 40(8): 2474-2478.

[14] [14] Li Ziwen, Li Zongpeng, Mai Shukui, et al. Determination of fat in walnut beverage based on least squares support vector machine [J]. Spectroscopy and Spectral Analysis, 2019, 39(12): 3916-3920.

[15] [15] Luo X J, Oyedele L O, Ajayi A O, et al. Feature extraction and genetic algorithm enhanced adaptive deep neural network for energy consumption prediction in buildings [J]. Renewable and Sustainable Energy Reviews, 2020, 131: 109980.

[16] [16] Sajadi S, Fathi A. Genetic algorithm based local and global spectral features extraction for ear recognition [J]. Expert Systems With Applications, 2020, 159: 113639.

[17] [17] Bhardwaj V K, Maini S. Estimation of absolute distance and high-frequency vibration from the modulated SM-OFI signal using compound mutated genetic algorithm [J]. Optics and Lasers in Engineering, 2020, 134: 106271.