English

Wideband Time-Domain Digital Backpropagation via Subband Processing and Deep Learning

Information Theory 2018-07-05 v1 math.IT Machine Learning

Abstract

We propose a low-complexity sub-banded DSP architecture for digital backpropagation where the walk-off effect is compensated using simple delay elements. For a simulated 96-Gbaud signal and 2500 km optical link, our method achieves a 2.8 dB SNR improvement over linear equalization.

Keywords

Cite

@article{arxiv.1807.01545,
  title  = {Wideband Time-Domain Digital Backpropagation via Subband Processing and Deep Learning},
  author = {Christian Häger and Henry D. Pfister},
  journal= {arXiv preprint arXiv:1807.01545},
  year   = {2018}
}

Comments

3 pages, 3 figurs

R2 v1 2026-06-23T02:50:30.945Z