View source for Cross-correlation

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

== Description ==

It is commonly used for searching a long signal for a shorter, known feature.

It has applications in [[pattern recognition]], [[single particle analysis]], electron tomography, [[averaging]], [[cryptanalysis]], and neurophysiology.

== See also ==

* [[Autocorrelation]]
* [[Autocovariance]]
* [[Coherence]]
* [[Convolution]] - a [[mathematical operation]] on two [[Function (mathematics)|functions]] ('''f''' and '''g''').
* [[Correlation]]
* [[Correlation function]]
* [[Cross-covariance]]
* [[Cross-spectrum]]
* [[Covariance mapping]]
* [[Digital image correlation]]
* [[Phase correlation]]
* [[Scaled correlation]]
* [[Signal processing]]
* [[Spectral density]]
* [[Wiener–Khinchin theorem]]

== External links ==

* [https://en.wikipedia.org/wiki/Cross-correlation Cross-correlation] @ Wikipedia

[[Category:Signal processing]]