autocorrelationfunktion
The autocorrelation function, often abbreviated as ACF, is a mathematical tool used to measure the similarity between a signal and a lagged version of itself. It quantifies how strongly a signal is correlated with a shifted version of itself as a function of the shift or lag. In simpler terms, it tells you how much a signal "remembers" its past values.
The ACF is calculated by taking the integral (for continuous signals) or summation (for discrete signals) of
The autocorrelation function is widely applied in various fields. In signal processing, it's used for tasks