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Compressed Nonlinear Equalizers for Optical Interconnects: Efficiency and Stability

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Abstract

Efficiency and stability of pruned Volterra-Series and Neural-Network Equalizers are compared in the 112-Gbps optical interconnects. The results show NNE outperforms VE at equalization performance and complexity while VE is more stable with channel variation.

© 2020 The Author(s)

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