Science Fair Project Encyclopedia
Cross-correlation
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
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
10-26-2009 08:16:03
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The contents of this article is licensed from www.wikipedia.org under the GNU Free Documentation License. Click here to see the transparent copy and copyright details