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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
. 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
.
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