An Adaptive Decomposition Method with Low Parameter Sensitivity for Non-Stationary Noise Suppression in Magnetotelluric Data
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| Publicado en: | Minerals vol. 15, no. 8 (2025), p. 808-830 |
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| Otros Autores: | , , , |
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MDPI AG
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| Acceso en línea: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 035 | |a 3244048528 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 231539 |2 nlm | ||
| 100 | 1 | |a Guo Zhenyu |u Hangzhou Institute of Technology, Xidian University, Hangzhou 311231, China; guozhenyu@xidian.edu.cn (Z.G.); jiangwen@mail.xidian.edu.cn (W.J.); thong@mail.xidian.edu.cn (T.H.) | |
| 245 | 1 | |a An Adaptive Decomposition Method with Low Parameter Sensitivity for Non-Stationary Noise Suppression in Magnetotelluric Data | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Magnetotelluric (MT) sounding is a crucial technique in mineral exploration. However, MT data are highly susceptible to various types of noise. Traditional data processing methods, which rely on the assumption of signal stationarity, often result in severe distortion when suppressing non-stationary noise. In this study, we propose a novel, adaptive, and less parameter-dependent signal decomposition method for MT signal denoising, based on time–frequency domain analysis and the application of modal decomposition. The method uses Variational Mode Decomposition (VMD) to adaptively decompose the MT signal into several intrinsic mode functions (IMFs), obtaining the instantaneous time–frequency energy distribution of the signal. Subsequently, robust statistical methods are introduced to extract the independent components of each IMF, thereby identifying signal and noise components within the decomposition results. Synthetic data experiments show that our method accurately separates high-amplitude non-stationary interference. Furthermore, it maintains stable decomposition results under various parameter settings, exhibiting strong robustness and low parameter dependency. When applied to field MT data, the method effectively filters out non-stationary noise, leading to significant improvements in both apparent resistivity and phase curves, indicating its practical value in mineral exploration. | |
| 653 | |a Mineral exploration | ||
| 653 | |a Kurtosis | ||
| 653 | |a Data processing | ||
| 653 | |a Wavelet transforms | ||
| 653 | |a Parameter sensitivity | ||
| 653 | |a Optimization | ||
| 653 | |a Signal processing | ||
| 653 | |a Data analysis | ||
| 653 | |a Statistical methods | ||
| 653 | |a Time series | ||
| 653 | |a Lagrange multiplier | ||
| 653 | |a Spectrum analysis | ||
| 653 | |a Fourier transforms | ||
| 653 | |a Time-frequency analysis | ||
| 653 | |a Noise sensitivity | ||
| 653 | |a Noise reduction | ||
| 653 | |a Frequency domain analysis | ||
| 653 | |a Decomposition | ||
| 653 | |a Algorithms | ||
| 653 | |a Synthetic data | ||
| 653 | |a Energy distribution | ||
| 700 | 1 | |a Huang, Cheng |u Hangzhou Institute of Technology, Xidian University, Hangzhou 311231, China; guozhenyu@xidian.edu.cn (Z.G.); jiangwen@mail.xidian.edu.cn (W.J.); thong@mail.xidian.edu.cn (T.H.) | |
| 700 | 1 | |a Jiang, Wen |u Hangzhou Institute of Technology, Xidian University, Hangzhou 311231, China; guozhenyu@xidian.edu.cn (Z.G.); jiangwen@mail.xidian.edu.cn (W.J.); thong@mail.xidian.edu.cn (T.H.) | |
| 700 | 1 | |a Hong, Tao |u Hangzhou Institute of Technology, Xidian University, Hangzhou 311231, China; guozhenyu@xidian.edu.cn (Z.G.); jiangwen@mail.xidian.edu.cn (W.J.); thong@mail.xidian.edu.cn (T.H.) | |
| 700 | 1 | |a Han Jiangtao |u College of Geoexploration Science and Technology, Jilin University, Changchun 130026, China; hanjt@jlu.edu.cn | |
| 773 | 0 | |t Minerals |g vol. 15, no. 8 (2025), p. 808-830 | |
| 786 | 0 | |d ProQuest |t ABI/INFORM Global | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3244048528/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3244048528/fulltextwithgraphics/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3244048528/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch |