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ASIC Implementation of Time-Domain Digital Backpropagation with Deep-Learned Chromatic Dispersion Filters

Information Theory 2018-06-21 v2 math.IT Machine Learning
Authors: Christoffer Fougstedt , Christian Häger , Lars Svensson , Henry D. Pfister , Per Larsson-Edefors
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Abstract

We consider time-domain digital backpropagation with chromatic dispersion filters jointly optimized and quantized using machine-learning techniques. Compared to the baseline implementations, we show improved BER performance and >40% power dissipation reductions in 28-nm CMOS.

Keywords

digital backpropagation chromatic dispersion ASIC implementation deep learning CMOS BER performance

Cite

@article{arxiv.1806.07223,
  title  = {ASIC Implementation of Time-Domain Digital Backpropagation with Deep-Learned Chromatic Dispersion Filters},
  author = {Christoffer Fougstedt and Christian Häger and Lars Svensson and Henry D. Pfister and Per Larsson-Edefors},
  journal= {arXiv preprint arXiv:1806.07223},
  year   = {2018}
}

Comments

3 pages, 3 figures, updated reference list, added one sentence in the result section for clarity

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