Random noise attenuation using local signal-and-noise orthogonalization

By Yangkang Chen, Sergey Fomel. 2015

331 citations recorded by the source corpus.

Subfields: Geophysics, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/b0996208110ed408b61e6052cc35e4194d5f8143

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. Weilin Huang
5. Shaohuan Zu
6. Shuwei Gan
7. Run Wang
8. W. Zhong

In Ocean Engineering

1. S. M. Mousavi
2. Gregory C. Beroza
3. Shuwei Gan
4. Yangkang Chen
5. Weilin Huang

Citations in the corpus

• Damped multichannel singular spectrum analysis for 3D random noise attenuation (2015, background): “Chen and Fomel (2015) proposed a two-step denoising approach in order to retrieve the lost useful information from the removed noise based on local signal-and-noise orthogonalization.”
• Structure-oriented singular value decomposition for random noise attenuation of seismic data (2015, background): “Apart from those aforementioned one-step noise attenuation, Chen and Fomel (2015) proposed a twostep approach for retrieving the lost useful signals from the noise section, which can be seen as the residual random noise attenuation.”
• 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].”