Abstract

We reveal a neural network can be exploited for multivariate symbol decision simply by feeding multiple signal features as its inputs. The concept is verified in a digital coherent receiver which detects dual-polarization 25-GBaud directly-modulated PAM-4 signals.

© 2020 The Author(s)

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Supplementary Material (1)

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