Geoscientific Instrumentation, Methods and Data Systems
Geoscientific Instrumentation, Methods and Data Systems
GI
Articles | Volume 9, issue 2
Articles | Volume 9, issue 2
https://doi.org/10.5194/gi-9-443-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gi-9-443-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 9, issue 2
Research article
 | Highlight paper
 | 
16 Nov 2020
Research article | Highlight paper |  | 16 Nov 2020

The baseline wander correction based on the improved ensemble empirical mode decomposition (EEMD) algorithm for grounded electrical source airborne transient electromagnetic signals

Yuan Li, Song Gao, Saimin Zhang, Hu He, Pengfei Xian, and Chunmei Yuan

Viewed

Total article views: 5,391 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
4,669 617 105 5,391 113 113
  • HTML: 4,669
  • PDF: 617
  • XML: 105
  • Total: 5,391
  • BibTeX: 113
  • EndNote: 113
Views and downloads (calculated since 08 Jul 2020)
Cumulative views and downloads (calculated since 08 Jul 2020)

Viewed (geographical distribution)

Total article views: 5,391 (including HTML, PDF, and XML) Thereof 4,716 with geography defined and 675 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
Short summary
The baseline wander has special characteristics, such as being low frequency, large amplitude, non-periodic, and non-stationary. It is caused by the receiving coil motion and always exists in the process of data acquisition. The proposed method can be used to solve similar problems. This paper has the following highlights: (1) the method can be used to process non-periodic and non-stationary signals; (2) the method is adaptive to satisfy the stopping criterion based on the measured signal.
Read more