Recent Advances on Machine Learning-aided DSP for Short-reach and Long-haul Optical Communications

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Nov 15, 2024
Laurent Schmalen, Vincent Lauinger, Jonas Ney, Norbert Wehn, Patrick Matalla, Sebastian Randel, Alexander von Bank, Eike-Manuel Edelmann
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In this paper, we highlight recent advances in the use of machine learning for implementing equalizers for optical communications. We highlight both algorithmic advances as well as implementation aspects using conventional and neuromorphic hardware.

* paper accompanying an invited presentation at OFC 2025  
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