jcm-awgn-imp

Results submitted to ICASSP 2020 for the paper titled "Joint Coding and Modulation in the Ultra-Short Blocklength Regime for Bernoulli-Gaussian Impulsive Noise Channels Using Autoencoders"

Version compatibility:

This works with the following versions installed:

tensorboard 2.0.0
tensorboardx 2.0
pytorch 1.3.1
cuda 9.2 cudnn 7.0

Name		Name	Last commit message	Last commit date
Latest commit History 12 Commits
.idea		.idea
checkpoints		checkpoints
logs		logs
mfbanks		mfbanks
misc		misc
LICENSE		LICENSE
README.md		README.md
awgn_train_test.py		awgn_train_test.py
bgin_train_test.py		bgin_train_test.py
channels.py		channels.py
get_args.py		get_args.py
main.py		main.py
models.py		models.py
tools.py		tools.py
trainer.py		trainer.py
utils.py		utils.py

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kirtyvedula/jcm-awgn-imp

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