Performance Evaluation of Channel Decoding With Deep Neural Networks

October 30, 2017 ยท View on GitHub

Paper about the deep neural network decoder.

Introduction

We propose three types of NND, which build upon multi-layer perceptron (MLP), convolution neural network (CNN) and recurrent neural network (RNN).

Steps of Code

  1. Generate the training samples saved at data/ under RNN/.
cd RNN/
python get_data.py
  1. Run the deep neural network, BER is saved at result/.
python mlp.py
python cnn.py
python lstm.py
  1. Plot the figure.
python plot.py