@inproceedings{cf1fa956c3944de888cd22cefaecabfa,
title = "Complex Principal Component Analysis-Based Complex-Valued Fully Connected NN Equalizer for DP-64 QAM Coherent Detection",
abstract = "A novel complex principal component analysis algorithm is applied to coherent optical detection based on complex-valued fully connected NN equalizer. Compared with real-valued equalizer, the time and space complexity are reduced by 40% and 70%.",
keywords = "Complex principal component analysis, complex-valued neural network",
author = "Xingyuan Huang and Yongjun Wang and Chao Li and Lu Han and Qi Zhang and Xiangjun Xin",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 Opto-Electronics and Communications Conference, OECC 2023 ; Conference date: 02-07-2023 Through 06-07-2023",
year = "2023",
doi = "10.1109/OECC56963.2023.10209712",
language = "English",
series = "2023 Opto-Electronics and Communications Conference, OECC 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2023 Opto-Electronics and Communications Conference, OECC 2023",
address = "United States",
}