Controlled-source electromagnetic data processing based on gray system theory and robust estimation

We propose a novel method that combines gray system theory and robust M-estimation method to suppress the interference in controlled-source electromagnetic data

Dan Mo

2018

Scholarcy highlights

  • We propose a novel method that combines gray system theory and robust M-estimation method to suppress the interference in controlled-source electromagnetic data
  • We use our method to reject the outliers in simulated signals containing noise to verify the feasibility of our proposed method
  • The processed values are observed to be approximate to the expected values with high accuracy
  • We observe that the proposed method eliminates outliers, minimizes the root-mean-square error, and improves the reliability of controlled-source electromagnetic data in follow-up processing and interpretation

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