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Optical Fiber Equalization of Complex Valued Signals using Real-Valued Neural Networks

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Abstract

A method for optical fiber equalization using neural network is proposed. The method uses digital up-conversion for processing the complex valued signal with significant reduction in network size without impact on equalization performance.

© 2020 The Author(s)

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