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An iterative deep convolutional recurrent neural network is proposed to mitigate fiber nonlinearity with distributed compensation of polarization mode dispersion, demonstrating 1.3 dB Q-factor gain over previous neural network based techniques for dual-polarized 960 km 32 Gbaud 64QAM transmission.
© 2022 The Author(s)
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