Articles | Volume 28, issue 2
https://doi.org/10.5194/npg-28-247-2021
https://doi.org/10.5194/npg-28-247-2021
Research article
 | 
19 May 2021
Research article |  | 19 May 2021

An enhanced correlation identification algorithm and its application on spread spectrum induced polarization data

Siming He, Jian Guan, Xiu Ji, Hang Xu, and Yi Wang

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Latest update: 25 Apr 2024
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Short summary
We propose an enhanced correlation identification (ECI) algorithm to attenuate background noise. The cross-correlation matching method is helpful for the extraction of useful components of the raw SSIP data and suppression of background noise. Experiments on both synthetic and real SSIP data show that the ECI algorithm is proposed to preserve the valid information of the raw SSIP data to display the actual location and shape of adjacent high-resistivity anomalies.