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Improving cross-correlations of ambient noise using an rms-ratio selection stacking method
Author(s) -
Jinyun Xie,
Yingjie Yang,
Yinhe Luo
Publication year - 2020
Publication title -
geophysical journal international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.302
H-Index - 168
eISSN - 1365-246X
pISSN - 0956-540X
DOI - 10.1093/gji/ggaa232
Subject(s) - stacking , noise (video) , signal to noise ratio (imaging) , stack (abstract data type) , ambient noise level , physics , computer science , nuclear magnetic resonance , optics , acoustics , artificial intelligence , image (mathematics) , programming language , sound (geography)
Jinyun Xie ,1,2 Yingjie Yang2 and Yinhe Luo1,3 1Hubei Subsurface Multi-Scale Imaging Lab (SMIL), China University of Geosciences (Wuhan), Wuhan, Hubei 430074, China. E-mail: luoyinhe@cug.edu.cn 2ARC Centre of Excellence for Core to Crust Fluid Systems (CCFS)/GEMOC, Department of Earth and Enviromental Sciences, Macquarie University, North Ryde, NSW 2109, Australia 3State Key Laboratory of Geological Processes and Mineral Resources, Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, Hubei 430074, China.

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