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Reduced Complexity Nonlinearity Compensation via Principal Component Analysis and Deep Neural Networks

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Abstract

We demonstrate a novel fiber nonlinearity post-equalization algorithm using principal component analysis and neural networks. We achieve ~0.46 dBQ improvement for 21 Gbaud DP-8QAM transmission over ~13,000 km deployed fiber with over 90% complexity reduction.

© 2019 The Author(s)

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