Detection and Denoising of Microseismic Events Using Time–Frequency Representation and Tensor Decomposition

Reliable detection and recovery of a microseismic event in large volume of passive monitoring data is usually a challenging task due to the low signal-to-noise ratio environment. The accuracy of weak microseismic event identification is a very important step in the analysis and interpretation of mic...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Naveed Iqbal, Entao Liu, James H. McClellan, Abdullatif Al-Shuhail, Sanlinn I. Kaka, Azzedine Zerguine
Format:	Article
Language:	English
Published:	IEEE 2018-01-01
Subjects:	Tensor decomposition higher order singular values decomposition (HOSVD) microseismic denoising detection nuclear norm
Online Access:	https://ieeexplore.ieee.org/document/8351950/