Given the operators I have chosen to use in this experiment, selecting data to test is straightforward. I need data that will result in a model that requires interpolation and will make differences in frequency content of various results obvious. Since the regularization operator is a steering operator, the data can have varying dips. To meet these simple requirements, I chose to take a 2-D slice from the familiar ``qdome'' model Claerbout (1995). The masking operator contains enough zeros to defeat the inversion operator, making the regularization operator necessary. Figure shows the data multiplied by the masking operator () I used for this experiment. I am displaying it this way to make comparison with the inversion results simpler. Figure also shows the ``ideal'' model that would be obtained if was simply an identity operator.