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Time-domain denoising of time—frequency electromagnetic data

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Abstract

Time—frequency electromagnetic data contain frequency and transient electromagnetic information and can be used to determine the apparent resistivity both in the frequency and time domains. The observation data contains three types of noise: the harmonics interference at 50 Hz, high-frequency random noise, and low-frequency noise. We use frequency-domain bandstop filtering to remove the harmonics interference noise, segmentation and extension median filtering, and fitting of fixed extremes in empirical mode decomposition to remove the high-frequency and low-frequency noise, respectively; furthermore, we base the selection of median filtering window size on the variance and skewness coefficient of the data. We first remove the harmonics interference at 50 Hz, then the high-frequency noise, and finally the low-frequency noise. We test the proposed methodology by using theory and experiments, and we find that the three types of noises are removed, the phase and amplitude information of the signal are maintained, and high-quality waveforms are obtained in the time domain.

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Acknowledgements

We wish to thank all those involved in the field data collection, and the editors and anonymous reviewers for their comments.

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Correspondence to Bi-Ming Zhang.

Additional information

This work is supported by the National Natural Science Foundation of China (No. 41574127 and No. 41227803).

Zhang Bi-Ming, Doctor, Instructor, received his Bachelor’s degree from Hunan Normal University in 2002, received a Master’s degree from Central South University in 2006, and received a Doctor’s degree in Earth Exploration & Information Technology from Central South University in 2019. He is interested in data processing method and algorithm development of electromagnetic exploration.

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Zhang, BM., Dai, SK., Jiang, QY. et al. Time-domain denoising of time—frequency electromagnetic data. Appl. Geophys. 16, 378–393 (2019). https://doi.org/10.1007/s11770-019-0772-3

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  • DOI: https://doi.org/10.1007/s11770-019-0772-3

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