Learning to communicate: Channel auto-encoders, domain specific regularizers, and attention

TJ O'Shea, K Karra, TC Clancy - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
We address the problem of learning an efficient and adaptive physical layer encoding to
communicate binary information over an impaired channel. In contrast to traditional work, we …
被引用次数：266 相关文章

Learning to Communicate: Channel Auto-encoders, Domain Specific Regularizers, and Attention

TJ O'Shea, K Karra, TC Clancy - arXiv e-prints, 2016 - ui.adsabs.harvard.edu
We address the problem of learning efficient and adaptive ways to communicate binary
information over an impaired channel. We treat the problem as reconstruction optimization …
[PDF] academia.edu

[PDF][PDF] Learning to Communicate: Channel Auto-encoders, Domain Specific Regularizers, and Attention

TJ O'Shea, K Karra, TC Clancy - arXiv preprint arXiv:1608.06409, 2016 - academia.edu
We address the problem of learning efficient and adaptive ways to communicate binary
information over an impaired channel. We treat the problem as reconstruction optimization …
[PDF] researchgate.net

[PDF][PDF] Learning to Communicate: Channel Auto-encoders, Domain Specific Regularizers, and Attention

TJ O'Shea, K Karra, TC Clancy - arXiv preprint arXiv:1608.06409, 2016 - researchgate.net
We address the problem of learning efficient and adaptive ways to communicate binary
information over an impaired channel. We treat the problem as reconstruction optimization …

Learning to Communicate: Channel Auto-encoders, Domain Specific Regularizers, and Attention

TJ O'Shea, K Karra, TC Clancy - arXiv preprint arXiv:1608.06409, 2016 - arxiv.org
We address the problem of learning efficient and adaptive ways to communicate binary
information over an impaired channel. We treat the problem as reconstruction optimization …