Results 151 to 160 of about 1,182 (196)

Robust Phase Association and Simultaneous Arrival Picking for Downhole Microseismic Data Using Constrained Dynamic Time Warping. [PDF]

Sensors (Basel)
Wang T, Li L, Wen S, Lv Y, Yu Z, He C.
europepmc   +1 more source

Mine Gas Time-Series Data Prediction and Fluctuation Monitoring Method Based on Decomposition-Enhanced Cross-Graph Forecasting and Anomaly Finding. [PDF]

Sensors (Basel)
Yuan L.
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Analysis of vibration signals near ground surface during blasting excavation of a tunnel in fractured rock. [PDF]

Sci Rep
Deng Z, Meng J, Deng Y, Ni J, Ye D.
europepmc   +1 more source

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Q-Compensated Denoising of Seismic Data

IEEE Transactions on Geoscience and Remote Sensing, 2021
It is widely known that strong noise can decrease the quality of seismic data. However, the anelastic attenuation could be more important to account for the weak amplitude and low quality of seismic data. Here, we develop an inversion framework to simultaneously compensate for the attenuation of seismic data and remove noise, thereby enhancing the ...
Hang Wang, Guangtan Huang, Wei Chen 0031, Yangkang Chen   +3 more
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DnResNeXt Network for Desert Seismic Data Denoising

IEEE Geoscience and Remote Sensing Letters, 2022
In recent years, the denoising of low-frequency desert noise has been the significant and difficult point in processing seismic data. Traditional random noise suppression methods could not get a good result in processing seismic data in desert areas. Moreover, convolutional neural network (CNN) has made notable achievements in many fields recently.
Haiyang Yao, Haitao Ma 0001, Yue Li 0003, Qiankun Feng   +3 more
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Seismic denoising with nonuniformly sampled curvelets

Computing in Science & Engineering, 2006
The authors present an extension of the fast discrete curvelet transform (FDCT) to nonuniformly sampled data. This extension not only restores curvelet compression rates for nonuniformly sampled data but also removes noise and maps the data to a regular ...
Gilles Hennenfent, Felix J. Herrmann
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