Investigation of microseismic signal denoising using an improved wavelet adaptive thresholding method
Abstract There are high- and low-frequency noise signals in a microseismic signal that can lead to the distortion and submersion of an effective waveform. At present, effectively removing high- and low-frequency noise without losing the effective signal of local waveform spikes remains a challenge....
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2022-12-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-022-26576-2 |