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Reservoir Computing-based Multi-Symbol Equalization for PAM 4 Short-reach Transmission

Signal Processing 2022-12-02 v1 Machine Learning
Authors: Yevhenii Osadchuk , Ognjen Jovanovic , Darko Zibar , Francesco Da Ros
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Abstract

We propose spectrum-sliced reservoir computer-based (RC) multi-symbol equalization for 32-GBd PAM4 transmission. RC with 17 symbols at the output achieves an order of magnitude reduction in multiplications/symbol versus single output case while maintaining simple training.

Cite

@article{arxiv.2212.00738,
  title  = {Reservoir Computing-based Multi-Symbol Equalization for PAM 4 Short-reach Transmission},
  author = {Yevhenii Osadchuk and Ognjen Jovanovic and Darko Zibar and Francesco Da Ros},
  journal= {arXiv preprint arXiv:2212.00738},
  year   = {2022}
}

Comments

Conference, 2 pages

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