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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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Papers overview

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Review
2007
Review
2007
We review the basic electronic equalization techniques. We report new results of MLSE equalizers for combined chromatic… 
2005
2005
  • 2005
  • Corpus ID: 110357283
This paper discusses the investigation of max- imum-likelihood sequence estimation (MLSE) receivers operating on intensity… 
Highly Cited
2001
Highly Cited
2001
In previous work on decoding space-time codes, it is either assumed that perfect channel state information (CSI) is present, or a… 
1997
1997
  • E. Lindskog
  • 1997
  • Corpus ID: 1387250
In mobile radio communications, antenna arrays can be used to improve the quality and/or the capacity of the communication system… 
1993
1993
The problem of estimating the most likely state sequence of a discrete-time finite-state Markov process with unknown parameters… 
1993
1993
  • M. ReadyS. Chari
  • 1993
  • Corpus ID: 56752057
This paper describes a technique for demodulating cochannel Manchester-encoded, frequency-shift-keyed (MEFSK) signals even when… 
1993
1993
  • J. Modestino
  • 1993
  • Corpus ID: 122001177
Existing maximum-likelihood sequence estimation (MLSE) schemes for channels with memory, resulting in intersymbol interference… 
1981
1981
This paper considers maximum-likelihood sequence estimation (MLSE) for quadrature amplitude modulation (QAM) signaling at rates… 
1979
1979
Receiver designs for maximum likelihood sequence estimation of digital data transmission through randomly dispersive channels are… 
1977
1977
In Maximum Likelihood Sequence Estimation, the number of operations per symbol depends critically on the length of the Desired…