I don't think so. Local features of the responses near the chosen merge frequency would shift the average, taking away your ability to choose a point in the response that has the correct level, whatever that may be. The responses may also be curved near the merge, so again the average would be incorrect.
Hi John,
When using merging to stitch a far-field measurement to a near-field measurement, where the levels don't match, the current implementation makes a lot of sense.
However, I'm stitching two measurements where I want the levels of both to remain the same. Is there a way to do this without having to pick the exact merge frequency based on its level?
I think the level-averaging approach could work in both use cases, as long as the average level of plot A (in the blend range) is used as a reference to shift plot B, based on the offset of its average in that same range?
Maybe a simple 'don't shift levels' parameter could work as well?