Maximum likelihood sequence estimation
Maximum likelihood sequence estimation (MLSE) is a mathematical algorithm to extract useful data out of a noisy data stream.
References
 |
Further reading
- Andrea Goldsmith (2005). "Maximum Likelihood Sequence Estimation". Wireless Communications. pp. 362–364. ISBN 0521837162.
{{cite book}}: Unknown parameter|isnb13=ignored (help); Unknown parameter|pubisher=ignored (|publisher=suggested) (help) - Philip Golden, Hervé Dedieu, Krista Jacobsen, and Peter Reusens (2006). Fundamentals of DSL Technology. CRC Press. pp. 319–321. ISBN 0849319137.
{{cite book}}: Unknown parameter|isnb13=ignored (help)CS1 maint: multiple names: authors list (link)
See also
- Maximum likelihood
- Maximum a posteriori (MAP) Estimation, which is more complex and requires a known distribution
External links
- W. Sauer-Greff, A. Dittrich, M. Lorang, and M. Siegrist (2001-04-16). "Maximum-Likelihood Sequence Estimation of Nonlinear Channels in High-Speed Optical Fiber Systems" (PDF). The Telecommunications Research Center Vienna.
{{cite web}}: Check date values in:|date=(help)CS1 maint: multiple names: authors list (link) - http://www.spec.gmu.edu/~pparis/classes/coll_732_1/node3.html
 | This mathematics-related article is a stub. You can help Wikipedia by expanding it. |