Real-Time FPGA Demonstrator of ANN-Based Equalization for Optical Communications-Reference-Cited by-同舟云学术

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

Published:2024-05-05 Issue: Volume: Page:1-2
ISSN:
Container-title:2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN)
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Author:

Ney Jonas¹,Matalla Patrick²,Lauinger Vincent³,Schmalen Laurent³,Randel Sebastian²,Wehn Norbert¹

Affiliation:

1. RPTU Kaiserslautern-Landau,Microelectronic Systems Design (EMS),Kaiserslautern,Germany,67653

2. Karlsruhe Institute of Technology (KIT),Institute of Photonics and Quantum Electronics (IPQ),Karlsruhe,Germany,76131

3. Karlsruhe Institute of Technology (KIT),Communications Engineering Lab (CEL),Karlsruhe,Germany,76131

Funder

European Research Council

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10624683/10624689/10624790.pdf?arnumber=10624790

Reference7 articles.

1. An Optical Communication's Perspective on Machine Learning and Its Applications

2. Towards FPGA implementation of neural network-based nonlinearity mitigation equalizers in coherent optical transmission systems;Freire

3. Fixed-Point Analysis and FPGA Implementation of Deep Neural Network Based Equalizers for High-Speed PON

4. From Algorithm to Implementation: Enabling High-Throughput CNN-Based Equalization on FPGA for Optical Communications

5. Hardware Comparison of Feed-Forward Clock Recovery Algorithms for Optical Communications

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