jElhamm/Article-Deep-Learning-for-the-Gaussian-Wiretap-Channel
Simulations for the paper "Deep Learning for the Gaussian Wiretap Channel by Rick Fritschek, Rafael F. Schaefer, Gerhard Wunder"
No commits in the last 6 months.
Stars
4
Forks
—
Language
Jupyter Notebook
License
BSD-3-Clause
Category
Last pushed
Jun 20, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/jElhamm/Article-Deep-Learning-for-the-Gaussian-Wiretap-Channel"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
NVlabs/sionna
Sionna: An Open-Source Library for Research on Communication Systems
DeepMIMO/DeepMIMO
DeepMIMOv4: A Toolchain and Database for Ray-tracing Datasets.
lab-emi/OpenDPD
OpenDPD is an end-to-end learning framework built in PyTorch for power amplifier (PA) modeling...
utcsilab/score-based-channels
Source code for paper "MIMO Channel Estimation using Score-Based Generative Models", published...
NVlabs/neural_rx
Real-Time Inference of 5G NR Multi-user MIMO Neural Receivers