In signal processing, cross-correlation is a measure of similarity of two waveforms as a function of a time-lag applied to one of them. This is also known as a sliding dot product or inner-product. It is commonly used to search a long duration signal for a shorter, known feature. It also has applications in pattern recognition, single particle analysis, electron tomographic averaging, cryptanalysis, and neurophysiology.
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Rabi (2024). Crosscorelation (https://www.mathworks.com/matlabcentral/fileexchange/30510-crosscorelation), MATLAB Central File Exchange. Retrieved .
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