Maximum likelihood sequence estimation

Known as: MLSE 
Maximum likelihood sequence estimation (MLSE) is a mathematical algorithm to extract useful data out of a noisy data stream.
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2013
2013
This paper addresses the problem of maximum likelihood sequence estimation (MLSE) based on a hidden reciprocal chain (HRC) as the… (More)
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2010
2010
We investigate full-field detection-based maximum- likelihood sequence estimation (MLSE) for chromatic dispersion compensation in… (More)
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Highly Cited
2005
Highly Cited
2005
This paper discusses the investigation of maximum-likelihood sequence estimation (MLSE) receivers operating on intensity… (More)
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Highly Cited
2001
Highly Cited
2001
In recent work on decoding space–time codes, it is either assumed that perfect channel state information (CSI) is present, or a… (More)
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Highly Cited
2000
Highly Cited
2000
A new look is taken at maximum-likelihood sequence estimation in the presence of intersymbol interference. A uniform receiver… (More)
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1997
1997
In mobile radio communications, antenna arrays can be used to improve the quality and/or the capacity of the communication system… (More)
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Highly Cited
1994
Highly Cited
1994
It is well-known that the use of the Viterbi algorithm to implement a sequence estimator is an optimal way to remove the effect… (More)
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1994
1994
Maximum a posfwori (MAP) sequence estimation for channels with intersymbol interference (ISI) has previously required knowledge… (More)
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1981
1981
This paper considers maximum-likelihood sequence estimation (MLSE) for quadrature amplitude modulation (QAM) signaling at rates… (More)
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Highly Cited
1972
Highly Cited
1972
A maximum-likelihood sequence estimator for a digital pulse-amplitude-modulated sequence in the presence of finite intersymbol… (More)
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