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A neural-network-based approach is presented to efficiently implement digital backpropagation (DBP). For a 32x100km fiber-optic link, the resulting "learned" DBP significantly reduces the complexity compared to conventional DBP implementations.
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Häger et al. (2018) studied this question.
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