WPD-Based Noise Reduction for Microseismic Data Through Adaptive Coefficient Shrinkage and Multi-Basis Fusion

WPD-Based Noise Reduction for Microseismic Data Through Adaptive Coefficient Shrinkage and Multi-Basis Fusion

In microseismic monitoring, sensors distributed at different spatial positions face varying noise conditions, leading to data quality deterioration. Due to the precise time-frequency analysis capabilities, flexibility, and low computational complexity, Wavelet Packet Decomposition (WPD) has become o...

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Bibliographic Details
Main Authors: Yaqi Zhang, Zhiqiang Lan, Zheng Shi, Yuhang Xue, Jie Wang, Kun Zhu, Jian He, Xiujian Chou
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Adaptive coefficient shrinkage
clustering
dynamic weighted fusion
microseismic
wavelet packet decomposition
Online Access:https://ieeexplore.ieee.org/document/10795862/
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