Time-frequency analysis of seismic data using local attributes

By Guochang Liu, Sergey Fomel, Xiaohong Chen. 2011

105 citations recorded by the source corpus.

Subfields: Geophysics

View Paper: https://www.semanticscholar.org/paper/e0c779bf5e32ba694a0abe07f5ab336f79e72cbf

How researchers see this paper

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In Geophysics

1. Yangkang Chen
2. Xiaohong Chen
3. Guochang Liu
4. Sergey Fomel
5. Jing Du
6. Kailong Wu
7. Yang Liu
8. Cai Liu

Citations in the corpus

• Random noise attenuation using f-x regularized nonstationary autoregression (2012, methodology): “Regularized nonstationary regression (RNA) has been used in multiple subtraction Fomel (2009), time-frequency analysis (Liu et al., 2011b), and nonstationary polynomial fitting (Liu et al., 2011a).”
• Random noise attenuation using local signal-and-noise orthogonalization (2015, methodology): “By using a weighted stacking of seismic data according to local similarity to the reference trace, a seismic image with an increased signal-to-noise ratio can be obtained (Liu et al., 2009, 2011a).”