Real-Time FPGA Demonstrator of ANN-Based Equalization for Optical Communications

from arxiv, Accepted and to be presented as demonstrator at the IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN) 2024

In this work, we present a high-throughput field programmable gate array (FPGA) demonstrator of an artificial neural network (ANN)-based equalizer. The equalization is performed and illustrated in real-time for a 30 GBd, two-level pulse amplitude modulation (PAM2) optical communication system.

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FPGA：ACM/SIGDA International Symposium on Field-Programmable Gate Arrays。 Explanation：ACM/SIGDA现场可编程门阵列国际研讨会。 Publisher：ACM。 SIT： http://dblp.uni-trier.de/db/conf/fpga/

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