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Yanju Ji, , Li, Dongsheng, Yu, Mingmei, Wang, Yuan, Wu, Qiong, Lin, Jun (2016) A de-noising algorithm based on wavelet threshold-exponential adaptive window width-fitting for ground electrical source airborne transient electromagnetic signal. Journal of Applied Geophysics, 128. 1-7 doi:10.1016/j.jappgeo.2016.03.001

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Reference TypeJournal (article/letter/editorial)
TitleA de-noising algorithm based on wavelet threshold-exponential adaptive window width-fitting for ground electrical source airborne transient electromagnetic signal
JournalJournal of Applied Geophysics
AuthorsYanju Ji, Author
Li, DongshengAuthor
Yu, MingmeiAuthor
Wang, YuanAuthor
Wu, QiongAuthor
Lin, JunAuthor
Year2016 (May)Volume128
PublisherElsevier BV
DOIdoi:10.1016/j.jappgeo.2016.03.001Search in ResearchGate
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Mindat Ref. ID1010705Long-form Identifiermindat:1:5:1010705:0
GUID0
Full ReferenceYanju Ji, , Li, Dongsheng, Yu, Mingmei, Wang, Yuan, Wu, Qiong, Lin, Jun (2016) A de-noising algorithm based on wavelet threshold-exponential adaptive window width-fitting for ground electrical source airborne transient electromagnetic signal. Journal of Applied Geophysics, 128. 1-7 doi:10.1016/j.jappgeo.2016.03.001
Plain TextYanju Ji, , Li, Dongsheng, Yu, Mingmei, Wang, Yuan, Wu, Qiong, Lin, Jun (2016) A de-noising algorithm based on wavelet threshold-exponential adaptive window width-fitting for ground electrical source airborne transient electromagnetic signal. Journal of Applied Geophysics, 128. 1-7 doi:10.1016/j.jappgeo.2016.03.001
In(2016) Journal of Applied Geophysics Vol. 128. Elsevier BV

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Wu, Qiong, Ma, Yunfeng, Li, Dongsheng, Wang, Yuan, Ji, Yanju (2022) Denoising algorithm of ground-airborne time-domain electromagnetic method based on Variational Bayesian-based adaptive Kalman filter (VBAKF) Journal of Applied Geophysics, 202. 104674 doi:10.1016/j.jappgeo.2022.104674
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Luan, Hui, Yu, Xiaoyang, Wang, Yingying, Wu, Qiong, Tian, Baofeng (2022) Research on De-Noising Method of Grounded Electrical Source Airborne Transient Electromagnetic Data Based on Singular Spectrum Analysis. Applied Sciences, 12 (19) 10116 doi:10.3390/app121910116
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