In signal processing, cross-correlation is a measure of similarity of two series as a function of the displacement of one relative to the other. This is also known as a sliding dot product or sliding …

May 14, 2025 · Cross-correlation is a method used to see how similar two sets of data are, especially when one is shifted in time. It helps us find out if a change in one set happens …

This MATLAB function returns the cross-correlation of two discrete-time sequences.

In Lecture 21 we introduced the auto-correlation and cross-correlation functions as measures of self- and cross-similarity as a function of delay τ . We continue the discussion here.

The cross correlation function between two different signals is defined as the measure of similarity or coherence between one signal and the time delayed version of another signal.

Cross-correlation is a statistical technique used to measure the relationship between two time series data sets. It quantifies the degree to which one series is correlated with another series …

6 days ago · The cross-correlation of two complex functions f (t) and g (t) of a real variable t, denoted f*g is defined by f*g=f^_ (-t)*g (t), (1) where * denotes convolution and f^_ (t) is the …

May 12, 2023 · The cross-correlation function (CCF) represents the degree of similarity between the two signals as one is shifted in time relative to the other. On the other hand, …

Cross-correlation is a measure of similarity between two signals or datasets as a function of the time lag applied to one of them. It quantifies how much one signal or dataset matches a shifted …

Jul 6, 2024 · Cross-correlation is a measurement that tracks the movements of two or more sets of time series data relative to one another. It is used to compare multiple time series and …