all AI news
Real-Time FPGA Demonstrator of ANN-Based Equalization for Optical Communications
Feb. 26, 2024, 5:43 a.m. | Jonas Ney, Patrick Matalla, Vincent Lauinger, Laurent Schmalen, Sebastian Randel, Norbert Wehn
cs.LG updates on arXiv.org arxiv.org
Abstract: 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.
abstract amplitude ann array artificial arxiv communication communications cs.lg eess.sp equalization fpga gate network neural network optical real-time type work
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Risk Management - Machine Learning and Model Delivery Services, Product Associate - Senior Associate-
@ JPMorgan Chase & Co. | Wilmington, DE, United States
Senior ML Engineer (Speech/ASR)
@ ObserveAI | Bengaluru