Convolutional recurrent neural network-based channel equalization: An experimental study

Yang Li, Minhua Chen, Yang Yang, Ming-Tuo Zhou, Chengxiang Wang. Convolutional recurrent neural network-based channel equalization: An experimental study. In 23rd Asia-Pacific Conference on Communications, APCC 2017, Perth, Australia, December 11-13, 2017. pages 1-6, IEEE, 2017. [doi]

@inproceedings{LiCYZW17,
  title = {Convolutional recurrent neural network-based channel equalization: An experimental study},
  author = {Yang Li and Minhua Chen and Yang Yang and Ming-Tuo Zhou and Chengxiang Wang},
  year = {2017},
  doi = {10.23919/APCC.2017.8304090},
  url = {https://doi.org/10.23919/APCC.2017.8304090},
  researchr = {https://researchr.org/publication/LiCYZW17},
  cites = {0},
  citedby = {0},
  pages = {1-6},
  booktitle = {23rd Asia-Pacific Conference on Communications, APCC 2017, Perth, Australia, December 11-13, 2017},
  publisher = {IEEE},
  isbn = {978-1-7405-2390-5},
}