Performance and Complexity Evaluation of Recurrent Neural Network Models for Fibre Nonlinear Equalization in Digital Coherent Systems

Stavros Deligiannidis, Charis Mesaritakis, Adonis Bogris. Performance and Complexity Evaluation of Recurrent Neural Network Models for Fibre Nonlinear Equalization in Digital Coherent Systems. In European Conference on Optical Communications, ECOC 2020, Virtual Event, Belgium, December 6-10, 2020. pages 1-4, IEEE, 2020. [doi]

@inproceedings{DeligiannidisMB20,
  title = {Performance and Complexity Evaluation of Recurrent Neural Network Models for Fibre Nonlinear Equalization in Digital Coherent Systems},
  author = {Stavros Deligiannidis and Charis Mesaritakis and Adonis Bogris},
  year = {2020},
  doi = {10.1109/ECOC48923.2020.9333288},
  url = {https://doi.org/10.1109/ECOC48923.2020.9333288},
  researchr = {https://researchr.org/publication/DeligiannidisMB20},
  cites = {0},
  citedby = {0},
  pages = {1-4},
  booktitle = {European Conference on Optical Communications, ECOC 2020, Virtual Event, Belgium, December 6-10, 2020},
  publisher = {IEEE},
  isbn = {978-1-7281-7361-0},
}