Accessible through the “Signal tools/Autocorrelation” menu option.
Autocorrelation is a tool frequently used for the analysis of time domain signals. It is the cross-correlation of the signal with itself. Autocorrelation is useful for finding repeating patterns in a signal, such as determining the presence of a periodic signal which has been buried under noise, or identifying the fundamental frequency of a signal which does not actually contain that frequency component, but implies it with many harmonic frequencies.
To display the changes in the autocorrelation result through time, you can use the Tracking changes as 3D graphics function.