/RadioML

Code for "Radio Modulation Classification Using Deep Residual Neural Networks" paper

Primary LanguagePython

modrec Python package

Run the following commands after downloading the datasets from deepsig.io-

pip install -e .
make

For training - image

Example --

python3 bin/train.py data/2016.10a.h5 --train --model resnet18-outer --batch-size 512

To Cite

  author={Abbas, Adeeb and Pano, Vasil and Mainland, Geoffrey and Dandekar, Kapil},
  booktitle={MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM)}, 
  title={Radio Modulation Classification Using Deep Residual Neural Networks}, 
  year={2022},
  volume={},
  number={},
  pages={311-317},
  doi={10.1109/MILCOM55135.2022.10017640}}

This repo also has other supporting tools like data loaders/saving it in hdf5 etc that were used during the work - https://ieeexplore.ieee.org/abstract/document/10017640/

There are no active maintainers of this project. For any queries/concerns, email - adeeb@drexel.edu