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Numerical comparisons

Again, the Amoco 2.5-D dataset provides an excellent test dataset for comparing flavors of weighting function. Unfortunately the data-space weights proved susceptible to coherent noise in the form of multiples not predicted by the modeling operator. While data-space weights did improve the signal in poorly illuminated areas, they also boosted up the noise level causing an increase in NSD. So further work will be required to make this approach useful.

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