Jonas Ney

According to our database, Jonas Ney authored at least 15 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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

Laurent Schmalen, Vincent Lauinger, Jonas Ney, Norbert Wehn, Patrick Matalla, Sebastian Randel, Alexander von Bank, Eike-Manuel Edelmann

CoRR, 2024

CNN-Based Equalization for Communications: Achieving Gigabit Throughput with a Flexible FPGA Hardware Architecture.

Jonas Ney, Christoph Füllner, Vincent Lauinger, Laurent Schmalen, Sebastian Randel, Norbert Wehn

CoRR, 2024

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

Jonas Ney, Patrick Matalla, Vincent Lauinger, Laurent Schmalen, Sebastian Randel, Norbert Wehn

CoRR, 2024

Fully-blind Neural Network Based Equalization for Severe Nonlinear Distortions in 112 Gbit/s Passive Optical Networks.

Vincent Lauinger, Patrick Matalla, Jonas Ney, Norbert Wehn, Sebastian Randel, Laurent Schmalen

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2024

FPGA Onboard Processing of Tiny-ML Models Using Radar-Sensing for Oil Spill Monitoring.

Bilal Hammoud, Jonas Ney, Charbel Bou-Mosleh, Norbert Wehn

Proceedings of the IGARSS 2024, 2024

Achieving High Throughput with a Trainable Neural-Network-Based Equalizer for Communications on FPGA.

Jonas Ney, Norbert Wehn

Proceedings of the 27th Euromicro Conference on Digital System Design, 2024

2023

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

Jonas Ney, Christoph Füllner, Vincent Lauinger, Laurent Schmalen, Sebastian Randel, Norbert Wehn

Proceedings of the Embedded Computer Systems: Architectures, Modeling, and Simulation, 2023

Unsupervised ANN-Based Equalizer and Its Trainable FPGA Implementation.

Jonas Ney, Vincent Lauinger, Laurent Schmalen, Norbert Wehn

Proceedings of the 2023 Joint European Conference on Networks and Communications & 6G Summit, 2023

2022

When Massive GPU Parallelism Ain't Enough: A Novel Hardware Architecture of 2D-LSTM Neural Network.

Vladimir Rybalkin, Jonas Ney, Menbere Kina Tekleyohannes, Norbert Wehn

ACM Trans. Reconfigurable Technol. Syst., 2022

A Hybrid Approach combining ANN-based and Conventional Demapping in Communication for Efficient FPGA-Implementation.

Jonas Ney, Bilal Hammoud, Norbert Wehn

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

Blind and Channel-agnostic Equalization Using Adversarial Networks.

Vincent Lauinger, Manuel Hoffmann, Jonas Ney, Norbert Wehn, Laurent Schmalen

Proceedings of the IEEE Global Communications Conference, 2022

FPGA-based Trainable Autoencoder for Communication Systems.

Jonas Ney, Sebastian Dörner, Matthias Herrmann, Mohammad Hassani Sadi, Jannis Clausius, Stephan ten Brink, Norbert Wehn

Proceedings of the FPGA '22: The 2022 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, Virtual Event, USA, 27 February 2022, 2022

Artificial Neural Networks-Based Radar Remote Sensing to Estimate Geographical Information during Oil-Spills.

Bilal Hammoud, Charbel Bou-Mosleh, Jonas Ney, Norbert Wehn

Proceedings of the 30th European Signal Processing Conference, 2022

2021

Embedded Face Recognition for Personalized Services in the Assistive Robotics.

Iris Walter, Jonas Ney, Tim Hotfilter, Vladimir Rybalkin, Julian Höfer, Norbert Wehn, Jürgen Becker

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

HALF: Holistic Auto Machine Learning for FPGAs.

Jonas Ney, Dominik Marek Loroch, Vladimir Rybalkin, Nico Weber, Jens Krüger, Norbert Wehn

Proceedings of the 31st International Conference on Field-Programmable Logic and Applications, 2021