Dictionary learning and shift-invariant sparse coding denoising for controlled-source electromagnetic data combined with complementary ensemble empirical mode …
Controlled-source electromagnetic (CSEM) data recorded in industrialized areas are
inevitably contaminated by strong cultural noise. Traditional noise attenuation methods are …
inevitably contaminated by strong cultural noise. Traditional noise attenuation methods are …
Mapping of fault and hydrothermal system beneath the seulawah volcano inferred from a magnetotellurics structure
Magnetotellurics (MT) is an important geophysical method for exploring geothermal systems,
with the Earth resistivity obtained from the MT method proving to be useful for the …
with the Earth resistivity obtained from the MT method proving to be useful for the …
Improved shift-invariant sparse coding for noise attenuation of magnetotelluric data
Magnetotelluric (MT) method is widely used for revealing deep electrical structure. However,
natural MT signals are susceptible to cultural noises. In particular, the existing data …
natural MT signals are susceptible to cultural noises. In particular, the existing data …
High-resolution LA-ICP-MS mapping of deep-sea polymetallic micronodules and its implications on element mobility
Enrichments of REY (rare earth+ yttrium) and other trace metals (Co and Ni) in deep-sea
ferromanganese (Fesingle bond Mn) micronodules have received increasing attention in …
ferromanganese (Fesingle bond Mn) micronodules have received increasing attention in …
Research on a multiscale denoising method for low signal-to-noise magnetotelluric signal
Z Guo, X Gong, J Han, L Liu, Y Wu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Magnetotelluric (MT) impedance estimation requires a high signal-to-noise ratio (SNR).
When low-SNR data are processed, it is difficult to obtain a robust MT response. In this …
When low-SNR data are processed, it is difficult to obtain a robust MT response. In this …
Deep learning optimized dictionary learning and its application in eliminating strong magnetotelluric noise
G Li, X Gu, Z Ren, Q Wu, X Liu, L Zhang, D Xiao… - Minerals, 2022 - mdpi.com
The noise suppression method based on dictionary learning has shown great potential in
magnetotelluric (MT) data processing. However, the constraints used in the existing …
magnetotelluric (MT) data processing. However, the constraints used in the existing …
[HTML][HTML] Synthesizing magnetotelluric time series based on forward modeling
P Wang, X Chen, Y Zhang - Frontiers in Earth Science, 2023 - frontiersin.org
The validity of magnetotelluric time-series processing methods has been lacking reasonable
testing criteria. Since the time series synthesized by existing techniques are not fully derived …
testing criteria. Since the time series synthesized by existing techniques are not fully derived …
Low-Frequency Magnetotelluric Data Denoising Using Improved Denoising Convolutional Neural Network and Gated Recurrent Unit
The magnetotelluric (MT) signals are susceptible to anthropogenic noise and the existing
denoising methods have significant shortcomings in low-frequency situations. To address …
denoising methods have significant shortcomings in low-frequency situations. To address …
Magnetotelluric noise attenuation using a deep residual shrinkage network
Magnetotelluric (MT) surveying is an essential geophysical method for mapping subsurface
electrical conductivity structures. The MT signal is susceptible to cultural noise, and the …
electrical conductivity structures. The MT signal is susceptible to cultural noise, and the …
Identification and Suppression of Multi-component Noise in Audio Magnetotelluric based on Convolutional Block Attention Module
Audio magnetotelluric (AMT) is commonly used in mineral resource exploration. However,
the weak energy of AMT signals makes them susceptible to being overwhelmed by noise …
the weak energy of AMT signals makes them susceptible to being overwhelmed by noise …