In signal processing, cross-correlation is a measure of similarity of two signals, commonly used to find features in an unknown signal by comparing it to a known one. It is a function of the relative time between the signals, is sometimes called the sliding dot product, and has applications in pattern recognition and cryptanalysis.

See also

• Correlation
• Autocorrelation

External links

• Cross Correlation from Mathworld
• http://citebase.eprints.org/cgi-bin/citations?id=oai:arXiv.org:physics/0405041
• http://www.idiom.com/~zilla/Work/nvisionInterface/nip.html
• http://www.phys.ufl.edu/LIGO/stochastic/sign05.pdf
• http://archive.nlm.nih.gov/pubs/hauser/Tompaper/tompaper.php
• http://www.staff.ncl.ac.uk/oliver.hinton/eee305/Chapter6.pdf
• http://www.is.ac.cn/China-Bejing2.pdf
• Cross correlation examples including 2D pattern identification