Maximum likelihood sequence estimation: Difference between revisions

Revision as of 17:12, 10 December 2010

Revision as of 01:40, 12 December 2010

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'''Maximum likelihood sequence estimation''' ('''MLSE''') is a mathematical algorithm to extract useful data out of a noisy data stream.

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== Further reading ==

* {{Cite book|title=Wireless Communications|author=Andrea Goldsmith|chapter=Maximum Likelihood Sequence Estimation|pages=362–364|publisher=Cambridge University Press|dateyear=2005|isbn=0521837162|isnb13=9780521837163}}

* {{Cite book|pages=319–321|title=Fundamentals of DSL Technology|author=Philip Golden, Hervé Dedieu, and Krista S. Jacobsen|publisher=CRC Press|dateyear=2006|isbn=0849319137|isnb13=9780849319136}}

*Crivelli, D. E.; Carrer, H. S., Hueda, M. R. (2005) [http://www.scielo.org.ar/pdf/laar/v35n2/v35n2a04.pdf "Performance evaluation of maximum likelihood sequence estimation receivers in lightwave systems with optical amplifiers"], Latin American Applied Research'', 35 (2), 95–98.

*Katz, G., Sadot, D., Mahlab, U., and Levy, A.(2008) "Channel estimators for maximum-likelihood sequence estimation in direct-detection optical communications", ''Optical Engineering'' 47 (4), 045003. {{DOI|10.1117/1.2904827}}