What is cross correlation?

Cross-correlation is a mathematical tool used to measure the similarity between two signals or datasets as a function of the time lag applied to one of them. It quantifies how much one signal correlates with another when one is shifted in time, helping to identify patterns, delays, or relationships between the two. Cross-correlation is widely used in various fields, including signal processing, statistics, and image analysis, to detect features or align signals.