subst
A time slice from a common-offset gather of the sub sampled Shorncliff data set.
Figure 2 |

parmap
The number of fitting equations normalized by the number of filter coefficients, shown as a
function of position (x and y) and scale (z). By creating many of these cubes for different
parameter combinations, criteria can now be established to estimate optimal parameters.
Figure 3 |

Most of the results in Figures and are as expected. At the original scale, no fitting equations were possible. The number of fitting equations increase as we coarsen the mesh, but then as the mesh coarsens further, the edge effects start to dominate, until we reach the bottom slice where the micropatch size corresponds to one scaled bin, leaving each micropatch with a maximum of one fitting equation. Note that the number of micropatches and hence the size of the model space stays constant as we vary the scale.

7/8/2003