Deep Learning Methods for Improved Decoding of Linear Codes
Published in IEEE Journal of Selected Topics in Signal Processing, 2018
Recommended citation: E. Nachmani, E. Marciano, L. Lugosch, W. J. Gross, D. Burshtein and Y. Be’ery, "Deep learning methods for improved decoding of linear codes," in IEEE Journal of Selected Topics in Signal Processing, special issue on "Machine Learning for Cognition in Radio Communications and Radar", vol. 12, no. 1, pp. 119-131, Feb. 2018. https://arxiv.org/abs/1706.07043
A collaboration between researchers at Tel-Aviv University and McGill University describing a family of neural belief propagation algorithms for channel decoding.