Deep learning application in time-frequency analysis for noise attenuation

Time- frequency analysis of seismic data has been proven to be a reliable method for noise attenuation. Differentiation between the noise and signal energy is traditionally done by thresholding the coefficients, keeping the stronger values as they are assumed to be representing the signals, while ze...

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Bibliographic Details
Main Author: Hamidi, R.
Format: Conference or Workshop Item
Published: European Association of Geoscientists and Engineers, EAGE 2019
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85093873287&doi=10.3997%2f2214-4609.201977037&partnerID=40&md5=920cbc4a9c5bda77f15b94729e261c68
http://eprints.utp.edu.my/30182/
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