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Performance and Computational Complexity Evaluation for Neural Network-Based Short-Reach Optical Links

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Abstract

The performance and computational complexity of neural network-based equalizers are experimentally evaluated for a 50-Gb/s 25-km PAM4 optical link. Equalizers with tanh activation function and 1 output help achieve better performance with moderate computational complexity.

© 2020 The Author(s)

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