Abstract
The non-stationary and non-continuous noises in the tunnel seismic data can cause huge noise spectrum estimation errors in time-frequency domain spectrum subtraction method, thus affecting the filtering effect. In order to solve the problem of denoising non-stationary signals, we propose a joint filtering method called Empirical Mode Decomposition-Time-Frequency Domain Spectral Subtraction (EMD-T-FSS), which combines time-frequency domain spectral subtraction and empirical mode decomposition. The EMD-T-FSS method proposed in this manuscript mainly includes three stages. First, the empirical mode decomposition method is used to decompose the seismic data into multiple intrinsic modal functions, which can effectively reduce the non-stationary characteristics of the signal. After that, time-frequency domain spectral subtraction is used for denoising each intrinsic modal function. At last, all intrinsic modal functions after denoising are weighted and added to obtain the denoising data. The denoising ability and flexibility of the proposed method are tested by numerical simulation data. The analysis of the denoising results shows that the EMD-T-FSS method is better suitable for data with different signal-to-noise ratios, and has obvious advantage when comparing with conventional spectral subtraction.
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Acknowledgments
The research was supported by Science & Technology Program of Department of Transport of Shandong Province (2019B47_2).
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The research was supported by Science & Technology Program of Department of Transport of Shandong Province (2019B47_2).
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PZ: Funding acquisition, Conceptualization. KL: Visualization, Writing-Original Draft. CF: Writing-Review & Editing. XX: Data Processing. ZG: Methodology, Software. WY: Project administration. YZ: Formal analysis. SC: Investigation.
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Zhou, P., Li, K., Fu, C. et al. Random Noise Attenuation in Tunnel Based on EMD-T-FSS. Geotech Geol Eng 41, 27–42 (2023). https://doi.org/10.1007/s10706-022-02259-7
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DOI: https://doi.org/10.1007/s10706-022-02259-7