The cross-correlation function is a statistical tool used to measure the similarity between two signals as a function of the time-lag applied to one of them, enabling the identification of time-shifted patterns and dependencies. It is widely used in signal processing, time series analysis, and other fields to detect and quantify the relationship between two datasets over time.