Deep Learning Denoising Applied to the University of Utah Seismic Stations Network Data. | Zendy

Rigobert Tibi | Zendy; Patrick Hammond | Zendy; Ronald Brogan | Zendy; Christopher Young | Zendy; Keith D. Koper | Zendy

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Deep Learning Denoising Applied to the University of Utah Seismic Stations Network Data.

Author(s) -

Rigobert Tibi,

Patrick Hammond,

Ronald Brogan,

Christopher Young,

Keith D. Koper

Publication year - 2020

Publication title -

osti oai (u.s. department of energy office of scientific and technical information)

Language(s) - English

Resource type - Conference proceedings

DOI - 10.2172/1829565

Subject(s) - waveform , computer science , signal (programming language) , noise reduction , short time fourier transform , noise (video) , distortion (music) , matched filter , signal to noise ratio (imaging) , speech recognition , artificial intelligence , pattern recognition (psychology) , algorithm , fourier transform , filter (signal processing) , telecommunications , mathematics , computer vision , amplifier , fourier analysis , bandwidth (computing) , radar , mathematical analysis , image (mathematics) , programming language

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