Signal and noise separation in prestack seismic data using velocity-dependent seislet transform

By Yang Liu, Sergey Fomel, Cai Liu. 2015

76 citations recorded by the source corpus.

Subfields: Geophysics, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/4c887d796be2bf59b31efc726fcefabafd061e1b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Geophysics

1. S. M. Mousavi
2. Gregory C. Beroza
3. Weiqiang Zhu
4. Siwei Yu
5. Jianwei Ma
6. Y. Sheng
7. P. Martin Mai
8. M. Guatteri

In Mechanical Engineering

1. S. M. Mousavi
2. Gregory C. Beroza

Citations in the corpus

• Seismic Signal Denoising and Decomposition Using Deep Neural Networks (2018, background): “Due to these limitations, numerous efforts have been made to develop more effective noise suppression in seismic data e.g. [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19].”