Follow
Guang Li
Guang Li
East China University of Technology
Verified email at ecut.edu.cn - Homepage
Title
Cited by
Cited by
Year
Near-source noise suppression of AMT by compressive sensing and mathematical morphology filtering
G Li, X Xiao, JT Tang, J Li, HJ Zhu, C Zhou, FB Yan
Applied Geophysics 14 (4), 581-589, 2017
582017
Signal-noise identification of magnetotelluric signals using fractal-entropy and clustering algorithm for targeted de-noising
J Li, X Zhang, J Gong, J Tang, Z Ren, G Li, Y Deng, J Cai
Fractals 26 (02), 1840011, 2018
422018
De-noising low-frequency magnetotelluric data using mathematical morphology filtering and sparse representation
G Li, X Liu, J Tang, J Li, Z Ren, C Chen
Journal of Applied Geophysics 172, 103919, 2020
402020
Dictionary learning and shift-invariant sparse coding denoising for controlled-source electromagnetic data combined with complementary ensemble empirical mode decomposition
G Li, Z He, J Tang, J Deng, X Liu, H Zhu
Geophysics 86 (3), E185-E198, 2021
352021
Improved shift-invariant sparse coding for noise attenuation of magnetotelluric data
G Li, X Liu, J Tang, J Deng, S Hu, C Zhou, C Chen, W Tang
Earth, Planets and Space 72, 1-15, 2020
342020
IncepTCN: A new deep temporal convolutional network combined with dictionary learning for strong cultural noise elimination of controlled-source electromagnetic data
G Li, S Wu, H Cai, Z He, X Liu, C Zhou, J Tang
Geophysics 88 (4), E107-E122, 2023
282023
Strong noise separation for magnetotelluric data based on a signal reconstruction algorithm of compressive sensing
JT TANG, G LI, X Xiao, J LI, C ZHOU, HJ ZHU
Chinese Journal of Geophysics 60 (9), 3642-3654, 2017
272017
Denoising AMT data based on dictionary learning
JT TANG, G LI, C ZHOU, ZY REN, X Xiao, ZJ LIU
Chinese Journal of Geophysics 61 (9), 3835-3850, 2018
262018
Magnetotelluric noise suppression based on matching pursuit and genetic algorithm
J LI, H YAN, JT TANG, X ZHANG, G LI, HJ ZHU
Chinese Journal of Geophysics 61 (7), 3086-3101, 2018
212018
Magnetotelluric noise suppression based on impulsive atoms and NPSO-OMP algorithm
J Li, X Liu, G Li, J Tang
Pure and Applied Geophysics 177, 5275-5297, 2020
162020
Power-line interference suppression of MT data based on frequency domain sparse decomposition
J Tang, G Li, C Zhou, J Li, X Liu, H Zhu
Journal of Central South University 25 (9), 2150-2163, 2018
142018
Magnetotelluric signal-noise separation method based on SVM–CEEMDWT
J Li, J Cai, JT Tang, G Li, X Zhang, ZM Xu
Applied Geophysics 16 (2), 160-170, 2019
112019
The stability analysis of systems with nonlinear feedback expressed by a quadratic program
G Li, WP Heath, B Lennox
Proceedings of the 45th IEEE Conference on Decision and Control, 4247-4252, 2006
112006
Multi-type geomagnetic noise removal via an improved U-Net deep learning network
G Li, X Zhou, C Chen, L Xu, F Zhou, F Shi, J Tang
IEEE Transactions on Geoscience and Remote Sensing, 2023
102023
Identification and suppression of magnetotelluric noise via a deep residual network
L Zhang, Z Ren, X Xiao, J Tang, G Li
Minerals 12 (6), 766, 2022
102022
Assessment of the learning curve of supercapsular percutaneously assisted total hip arthroplasty in an asian population
P Lei, Z Liao, J Peng, G Li, Q Zhou, X Xiao, C Yang
BioMed Research International 2020 (1), 5180458, 2020
92020
Groundwater resources survey of Tongchuan city using the audio magnetotelluric method
Z Xu, J Tang, G Li, HC Xin, Z Xu, X Tan, J Li
Applied Geophysics 17 (5), 660-671, 2020
82020
Robust CSEM data processing by unsupervised machine learning
G Li, Z He, J Deng, J Tang, Y Fu, X Liu, C Shen
Journal of Applied Geophysics 186, 104262, 2021
72021
Magnetotelluric noise attenuation using a deep residual shrinkage network
G Zuo, Z Ren, X Xiao, J Tang, L Zhang, G Li
Minerals 12 (9), 1086, 2022
62022
Audio magnetotelluric denoising via variational mode decomposition and adaptive dictionary learning
L Zhang, J Tang, G Li, W Chen
Journal of Applied Geophysics 204, 104748, 2022
52022
The system can't perform the operation now. Try again later.
Articles 1–20