Accessible through the “Signal tools/Autocorrelation” menu option.

Autocorrelation is a tool frequently used for the analysis of time domain signals. It is calculated as a 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.

The same function can be performed in Signal calculator by performing cross-correlation of the signal with itself.

To display the changes in the autocorrelation result through time, you can use the Tracking changes as 3D graphics function.