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Coherent noise attenuation: A synthetic and field example

Antoine Guitton

antoine@sep.stanford.edu

ABSTRACT
Noise attenuation using either a filtering or a subtraction scheme is achieved as long as the prediction error filter (PEF), which (1) filters the coherent noise in the first method and (2) models the noise in the second one, can be accurately estimated. If a noise model is not known in advance, I propose estimating the PEF from the residual of a previous inverse problem. At this stage, the filtering and subtraction method give similar results on both synthetic and real data. However the subtraction method can more completely separate the noise and signal when both are correlated.

Introduction
Approximating the noise covariance matrix with a PEF
Subtracting coherent noise
Conclusion
REFERENCES
Appendix
- Inversion of a 2 $\times$ 2 block matrix
- Inversion of the Hessian
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Stanford Exploration Project
4/29/2001