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Theory of multiple attenuation and filter estimation

Recently Spitz (1999) and Brown and Clapp (2000) presented a noise attenuation technique based on patterns. The main idea is simple: the noise and signal have different multidimensional spectra that PEFs can approximate Claerbout (1992) in order to perform the separation. In this approach, the multiple attenuation is similar to Wiener filtering Abma (1995). One important approximation is that the noise and signal are uncorrelated so that the cross-spectrum between these two components is not needed. In this section, I show how the separation is performed and how the PEFs are estimated.

 
next up previous print clean
Next: Multiple attenuation Up: Guitton: Pattern-based multiple attenuation Previous: Introduction
Stanford Exploration Project
7/8/2003