Maximum likelihood sequence estimation - Wikipedia
WEBMaximum likelihood sequence estimation (MLSE) is a mathematical algorithm that extracts useful data from a noisy data stream.
Design and Implementation of an On-Demand Maximum ... - IEEE …
WEBMay 11, 2022 · This paper proposes a novel design for Maximum Likelihood Sequence Estimation (MLSE) used in ultra-high-speed wireline communication. We take advantage of the propagated errors caused by Decision-Feedback Equalizer (DFE) to activate and guide the MLSE, thereby reducing its complexity.
Maximum Likelihood Sequence Estimation (MLSE Equalizer)
WEBMay 23, 2022 · It turns out that this strategy is optimal in the sense of maximizing the likelihood of detected symbols in the presence of AWGN (as such a correlation process should do) and hence known as Maximum Likelihood Sequence Estimation (MLSE).
Maximum likelihood sequence estimation in high-speed PONs using machine ...
WEBJun 1, 2024 · We then propose an optimization method for iteratively updating the pre-equalizer towards optimal end-to-end MLSE performance, by minimizing the multi-class cross-entropy loss based upon the path metrics.
MLSE Equalizers - MATLAB & Simulink - MathWorks
WEBUse a Maximum Likelihood Sequence Estimation (MLSE) equalizer to equalize the effects of a multipath Rayleigh fading channel. The MLSE equalizer inputs data that has passed through a time varying dispersive channel and an estimate of the channel.
MLSE (Maximum-likelihood sequence estimation) - Telecom Trainer
WEBMay 3, 2023 · MLSE is a powerful technique that uses the principle of maximum likelihood estimation to accurately detect the transmitted sequence in digital communication systems. MLSE offers several advantages over other detection methods, including improved performance, flexibility, robustness, and complexity.
WEBMaximum Likelihood Sequence Estimator (MLSE) MLSE works by taking inter-symbol interference (ISI) into consideration during demodulation, rather than eliminating it using the transmitter/receiver filter [7].
A Maximum-Likelihood Sequence Estimator with Decision …
WEBA decision-feedback equalizer (DFE) is proposed as a prefilter which limits the complexity of a maximum-likelihood sequence estimator (MLSE) implemented by the Viterbi algorithm (VA) for channels having a long impulse response.
The structure of a maximum likelihood sequence estimator (MLSE) …
WEBMaximum likelihood sequence estimation (MLSE) is a nonlinear estimation technique that replaces the equalizing filter with a MLSE estimation.
Machine Learning-Based Pre-Equalizers for Maximum ... - IEEE …
WEBIn this work, we employ a pre-equalizer for joint “channel shortening” and branch metric computation needed for the Viterbi algorithm. We then propose an optimization method for iteratively updating the pre-equalizer towards optimal end-to-end MLSE performance, by minimizing the multi-class cross-entropy loss based upon the path metrics.
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