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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| Format: | Conference or Workshop Item |
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European Association of Geoscientists and Engineers, EAGE
2019
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| 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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