The autocorrelation function is a mathematical tool used to measure the correlation of a signal with itself at different time lags. It helps identify patterns, periodicity, and the presence of noise in signals, making it crucial for analyzing time series data in various fields like signal processing and probability theory. By evaluating how the values of a signal relate to their past values, this function provides insights into the underlying structure and dynamics of the signal.
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