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Maximum likelihood sequence detection is implemented using per-survivor processing method.
Note that the maximum likelihood sequence estimator (MLSE) [15, 16] can be viewed as a special case of RSSE.
On both figures, we have also included the performance of the optimal maximum likelihood sequence estimator (MLSE) equalizer for comparison.
The optimal receiver is the maximum likelihood sequence estimator (MLSE), since the computational complexity grows exponentially with channel length.
The maximum likelihood sequence estimation (MLSE) is an optimal equalization method to suppress Inter-Symbol Interference (ISI) in communication and storage systems.
In [10], a multichannel equalizer with maximum likelihood sequence estimation was proposed to mitigate the effect of intersymbol interference for STTC in a multipath environment.
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The maximum-likelihood sequence estimation (MLSE) is recognized as the optimal equalization algorithm in the sense of sequence detection.
The PRC does not sacrifice spectral efficiency but needs a maximum-likelihood sequence estimator (MLSE) thus increasing the receiver complexity.
For single-antenna OFDM systems with clipping at the transmitter, the approximated symbol error rate (SER) has been derived for maximum-likelihood sequence detection (MLSD) [9].
Due to the large channel memory length, the complexity of maximum-likelihood sequence estimation by means of the Viterbi algorithm is normally prohibitive.
A conventional MIMO receiver comprising a MIMO zero-forcing channel estimator and a maximum-likelihood sequence decoder is used as a benchmarking reference.
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