What Can Machine Learning Teach Us about Communications
Paper in proceeding, 2019
In this paper, we discuss the application of machine-learning techniques to two communications problems and focus on what can be learned from the resulting systems. We were pleasantly surprised that the observed gains in one example have a simple explanation that only became clear in hindsight. In essence, deep learning discovered a simple and effective strategy that had not been considered earlier.
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Henry D. Pfister
IEEE International Symposium on Information Theory - Proceedings
21578095 (ISSN)Vol. 15 January 2019 8613331
Coding for terabit-per-second fiber-optical communications (TERA)
European Commission (EC) (EC/H2020/749798), 2017-01-01 -- 2019-12-31.
Areas of Advance
Information and Communication Technology
Electrical Engineering, Electronic Engineering, Information Engineering