Real-Time FPGA Demonstrator of ANN-Based Equalization for Optical
  Communications
Jonas Ney Patrick Matalla Vincent Lauinger Laurent Schmalen Sebastian Randel Norbert Wehn
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.