Calculation of the permittivity of inhomogeneous media based on the TEDAWT method

Ling, Tonghua; He, Wenchao; Zhang, Sheng; Zhang, Liang; Huang, Fu; Fang, Hua

doi:10.1016/j.jappgeo.2021.104513

Journal of Applied Geophysics

2022

DOI: 10.1016/j.jappgeo.2021.104513

|View full text |Cite

Calculation of the permittivity of inhomogeneous media based on the TEDAWT method

Tonghua Ling

Wenchao He

Sheng Zhang

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2022

Publication Types

Select...

Preprint1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Liu & Gu, 2022;Lutai Wang, 2022). In the investigation of concrete buildings, it can provide the information related on thickness of concrete layer, location and diameter of steel bars, internal moisture and cracks (Coleman & Schindler, 2022;Giannakis, Giannopoulos, & Warren, 2021;Ling et al, 2022;X. Liu et al, 2017).…”

mentioning

confidence: 99%

A ground penetrating radar denoising method based on CEEMD and wavelet decomposition

Liu

Kim

et al. 2022

Preprint

View full text Add to dashboard Cite

Ground penetrating radar (GPR) technology is widely used in civil engineering projects such as inspection of concrete buildings, pavement road, bridge, tunnel, and underground utilities (water supply pipes, gas pipes, power cables, sewers, etc.). With the application of GPR becoming more and more extensive, in order to further improve its effectiveness and efficiency, the researches on noise removal, image quality improvement and automatic data interpretation are being actively carried out. In this paper, firstly, the principles of complementary ensemble empirical mode decomposition (CEEMD) and wavelet transform, which are widely used in various signal processing fields, are described in detail. Then, GPR denoising method based on CEEMD and wavelet decomposition is proposed. The CEEMD IMFs of GPR signal separate into the effective signal components and noise ones. The noise components are not completely removed, the effective information are extracted from them by the wavelet denoising technique and then the signal is reconstructed. Finally, the performance of proposed method is verified by numerical simulation and field data analysis.

show abstract

mentioning

confidence: 99%

A ground penetrating radar denoising method based on CEEMD and wavelet decomposition

Liu

Kim

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Calculation of the permittivity of inhomogeneous media based on the TEDAWT method

Cited by 1 publication

References 37 publications

A ground penetrating radar denoising method based on CEEMD and wavelet decomposition

A ground penetrating radar denoising method based on CEEMD and wavelet decomposition

Contact Info

Product

Resources

About