@inproceedings{6450748413644afa81cb2c80351e5f93,
title = "Experimental Demonstration of the Widely Linear Sparse Volterra Equalizer Used in Probabilistic Shaping 1024-QAM Transmission with Spectral Efficiency of 16.57-bit/s/Hz",
abstract = "The widely linear sparse Volterra equalizer is proposed in this paper, and the performance is demonstrated in the polarization multiplexed probabilistic shaping 1024-QAM with the spectral efficiency of16.57-bit/s/Hz.",
keywords = "Complex-valued widely linear equalizer, high spectral efficiency, multi-input multi-output Volterra equalizer, ultra-high-order modulation",
author = "Nan Wang and Feng Tian and Tianze Wu and Xiangjun Xin and Bo Liu and Qi Zhang and Wei Gao",
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/OECC56963.2023.10209778",
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",
}