 Cross-correlation matrix

A cross-correlation matrix is a mathematical construct used to understand the relationships between multiple variables or time series. In particular, it quantifies how much two signals or datasets correlate with each other over different time lags. The cross-correlation matrix is particularly useful in fields such as signal processing, statistics, and time series analysis.