Random noise attenuation using f-x regularized nonstationary autoregression

By Guochang Liu, Xiaohong Chen, Jing Du, Kailong Wu. 2012

151 citations recorded by the source corpus.

Subfields: Geophysics, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/1be4a3d83c9b7f569e9970d1d9951945ffb086f3

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. Yangkang Chen
2. Xiaohong Chen
3. Guochang Liu
4. Weilin Huang
5. Sergey Fomel
6. Run Wang
7. Ming Zhang
8. Yang Liu

In Ocean Engineering

1. Yangkang Chen
2. Xiaohong Chen
3. Guochang Liu
4. Sergey Fomel
5. Weilin Huang
6. Yang Liu
7. Cai Liu

Citations in the corpus

• Noncausal f–x–y regularized nonstationary prediction filtering for random noise attenuation on 3D seismic data (2013, methodology): “Liu et al. (1991) extended the RNA method to f -x domain for complex numbers and applied it to seismic random noise attenuation for 2D seismic data.”
• Damped multichannel singular spectrum analysis for 3D random noise attenuation (2015, background): “…(Abma and Claerbout, 1995; Liu et al., 2011) such as the f − x deconvolution (Canales, 1984; Gulunay, 1986) and f − xy deconcolution (Gulunay, 2000; Liu et al., 2012), median filtering (Liu, 2013; Chen, 2015; Gan et al., 2016), Karhunen-Loeve transform (Jones and Levy, 1987), sparse transform…”
• Random noise attenuation using local signal-and-noise orthogonalization (2015, methodology): “The third field data example is borrowed from Liu et al. (2012).”