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We propose a perturbation-aided deep neural network for fiber nonlinearity compensation in polarization-multiplexed optical communication systems. The proposed technique achieves a fast convergence that is facilitated by the perturbation analysis and attains an enhanced performance.
© 2022 The Author(s)
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