Composite
Here is an example cross correlation in the composite mode:

This window displays the cross correlation of the section surrounding the
reference point
as the moving point and its window is sliding past it.
The difference of depth between the moving point and the reference
point is displayed in the main window status box. When you see a well
defined peak, you have a good match.
X Axis
The numbers along the x-axis are the depth points in the reference window.
In this example, that window is 5 meters wide, and the reference point is at
31.9, and the window runs from 29.4 to 34.4.
the window.
Y Axis
The numbers along the y axis are the magnitude of the cross correlation.
The y axis only runs to -0.3 since values lower than that are of little interest.
Splicing
The cross correlation in the splicing mode is slightly different.
Instead of a reference and moving point, we have two cores that, hopefully,
are at corresponding depths. The upper or left core is the composite core,
and the lower or right core is the splice. Here is a typical view during
the splice cross correaltion:
We initiated this session with a middle mouse down action, and while
holding that mouse down, sliding the mouse back and forth. When
you get a well defined peak, as here:

you have a good place to put your splice.
The Cross Correlation Formula
When we cross correlate, we pre-process the data by normalizing each array of data.
That is, we
- Remove the mean of each array, thus making their data centered around 0.
- We normalize by the geometric average of the energy of
the two arrays used in the calculation.
In this way, the best result will always be a peak of 1.
The Little Red Bar
The little red bar that moves as you move your track marks the point of peak
correlation.
General Thoughts About Cross Correlation
There are five variables for a cross correlation:
- Array One's origin.
- Array Two's origin
- Array Ones Window
- Array Two's Window
- The shift between the array one origin and the array two origin.
In the