@inproceedings{8d27b625b5344982ac6d7928939226c4,
title = "Structured sparsity learning-based pruned retraining volterra equalization for data-center interconnects",
abstract = "We propose a structured sparsity learning-based pruned retraining Volterra equalization for inter-dadta-center interconnects. Compared with conventional VE, we achieve 95% and 90.5% complexity reduction without signal degradation for B2B and 40-km at 80-Gb/s PAM4, respectively.",
author = "Yadav, {Govind Sharan} and Chuang, {Chun Yen} and Feng, {Kai Ming} and Jyehong Chen and Chen, {Young Kai}",
note = "Publisher Copyright: {\textcopyright} OSA 2021, {\textcopyright} 2021 The Author(s); Optical Fiber Communication Conference, OFC 2021 ; Conference date: 06-06-2021 Through 11-06-2021",
year = "2021",
language = "English",
series = "Optics InfoBase Conference Papers",
publisher = "Optica Publishing Group (formerly OSA)",
booktitle = "Optical Fiber Communication Conference, OFC 2021",
address = "United States",
}