LI W, WANG L M, CHENG L, et al. Study on a multiparameter method for the determination of water quality by sequential injection-continuous spectroscopy[J]. Spectroscopy and spectral analysis, 2021, 41(02): 612–617.

Google Scholar 

HUANG X T, CHEN Y X, ZHU Z B, et al. Research progress on the detection of ascorbic acid based on nanomaterials spectroscopicanalysis[J]. Chinese journal of applied chemistry, 2021, 38(06): 637–650.

Google Scholar 

XUE P, HE H, WANG H M. Error correction algorithm for optical measurement system based on radial basis function network[J]. Journal of optics, 2020, 40(02): 106–112. (in Chinese)

Google Scholar 

LI Q B, WEI Y, CUI H X, et al. A quantitative method for water quality TOC analysis based on UV-Vis spectroscopy[J]. Spectroscopy and spectral analysis, 2022, 42(02): 376–380.

Google Scholar 

YANG G F, DAI J C, LIU X J, et al. Spectral feature extraction based on continuous wavelet transform and image segmentation for peak detection[J]. Analytical methods, 2020, 12(2).

VOUSOUGHI F D. Wavelet-based de-noising in groundwater quality and quantity prediction by an artificial neural network[J]. Water supply, 2023, 23(3).

HUANG N E, SHEN Z, LONG S R. The empiricalmode decomposition and Hilbert spectrum for non-linear and non-stationary time series analysis[J]. Proceeding of the royal society of London, 1998, 454: 903–995.

Article  ADS  Google Scholar 

WU Z H, HUANG N E. Ensemble empirical mode decomposition: a noise-assisted data analysis method[J]. Advances in adaptive data analysis, 2009, 1(1): 1–41.

Article  ADS  Google Scholar 

ZOU N, JIN Y C, GUO C, et al. Preprocessing of radar signals in wells based on EMD[J]. Journal of the university of electronic science and technology, 2022, 51(06): 875–883. (in Chinese)

Google Scholar 

LIANG Y, LIU T G, LIU K, et al. Optimization method of gas detection based on variational modal decomposition algorithm[J]. Chinese journal of lasers, 2021, 48(07): 135–144. (in Chinese)

Article  Google Scholar 

CAO L L, LI J, PENG Z, et al. Research on rolling bearing fault diagnosis based on EEMD and fast spectral cliffness[J]. Journal of mechanical & electrical engineering, 2021, 38(10): 1311–1316. (in Chinese)

Google Scholar 

XU J, ZHANG B Y, FU Q. Study on differential noise reduction technique in infrasound calibration[J]. Academic journal of engineering and technology science, 2022, 5(13).

ZHENG J D, CHENG J S, YANG Y. Improved EEMD algorithm and its application research[J]. Journal of vibration and shock, 2013, 32(21): 21–26+46. (in Chinese)

Google Scholar 

CHEN J, KAN D, SUN T H, et al. Fault diagnosis method for rolling bearings based on SVD-VMD and SVM[J]. Journal of electronic measurement and instrumentation, 2022, 36(01): 220–226. (in Chinese)

Google Scholar 

ZHANG R, ZHANG P, ZHAO F. Research on blast shock wave denoising algorithm based on CEEMDAN-SG[J]. Foreign electronic measurement technology, 2022, 41(10): 119–125. (in Chinese)

Google Scholar 

LI M, ZHAO Y, CUI F P, et al. Characterization of Raman spectral signals based on ensemble empirical modal decomposition[J]. Spectroscopy and spectral analysis, 2020, 40(01): 54–58. (in Chinese)

Google Scholar 

LI W, CAI Y Q, MA Y Y, et al. Design of a dual-spectrum water quality multi-parameter integrated system based on embedded technology[J]. Instrument technique and sensor, 2022, 469(02): 101–106.

Google Scholar 

WANG X P, LIU Y F, TIAN T, et al. Research on the detection and simulation of water pollutants based on spectroscopic technology[J]. Journal of Huazhong University of Science and Technology (natural science edition), 2020, 48(03): 81–85+109.

Google Scholar 

LI J, WANG W B, SHENG L, et al. A noise reduction method for microseismic signals applying bidirectional long and short term memory neural networks[J]. Oil geophysical prospecting, 2023, 58(02): 285–294.

Google Scholar