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September 10, 2025MineralsOpen Access

An Adaptive Decomposition Method with Low Parameter Sensitivity for Non-Stationary Noise Suppression in Magnetotelluric Data

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The proposed method effectively separates non-stationary noise from magnetotelluric signals.
Using variational mode decomposition, the method derives intrinsic mode functions for better signal analysis.
Synthetic data experiments demonstrate strong robustness and low sensitivity to parameter changes.
Field applications reveal significant improvements in apparent resistivity and phase curves for mineral exploration.

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Novel adaptive decomposition method improves noise suppression in magnetotelluric data, suggesting enhanced exploration capabilities.

Guo et al. (2025) studied this question.

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