This repository contains an implementation of capacity estimator of continuous channels as introduced in (Link will be added in the future).
The code is compatible with a tensoreflow 2.0 environment. If you use a docker, you can pull the following docker image
docker pull tensorflow/tensorflow:latest-gpu-py3
The estimate the capacity of the AWGN channel run
python ./main.py --name <simulation_name> --config_name awgn --P <source_power> --C <capacity_for_visualization> &
The estimate the capacity of the MA(1)-AGN channel run
python ./main.py --name <simulation_name> --config_name arma_ff --P <source_power> --C <capacity_for_visualization> &
The estimate the feedback capacity of the MA(1)-AGN channel run
python ./main.py --name <simulation_name> --config_name arma_fb --P <source_power> --C <capacity_for_visualization> &
- Ziv Aharoni
- Dor Tsur
- Ziv Goldfeld
- Haim Permuter
This project is licensed under the MIT License - see the LICENSE.md file for details