Autocorrelation time refers to the duration it takes for a signal to lose its memory, indicating how past values influence current ones. In signal processing, this concept is crucial for analyzing the dynamics of systems, such as tracking the movement of diffusing particles over time. Covariance, on the other hand, measures the relationship between two signals, simplifying to autocorrelation when both signals originate from the same source. It quantifies how much two variables deviate from their means together. Understanding these concepts is essential for applications in light scattering experiments and optical processing techniques.