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Abstract

The separation of signal and noise is a central issue in seismic data processing. The noise is both random<br>and coherent in nature, the coherent part often masquerading as signal. We present some approaches to signal<br>isolation, in which stacking is a central concept. Our methodology is to transform the data to a domain where<br>noise and signal are separable, a goal that we attain by means of inversion. We will illustrate our ideas with some<br>of our favourite transformations, wavelets, eigenvectors, and Radon transforms. We end with the notion of risk,<br>baseball and the Stein estimator.

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/content/papers/10.3997/2214-4609-pdb.215.sbgf403
1999-08-15
2021-12-09
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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609-pdb.215.sbgf403
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