@inproceedings{458898a1734c48c7b3a425047bd7ae45,
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",
month = jun,
language = "English",
series = "2021 Optical Fiber Communications Conference and Exhibition, OFC 2021 - Proceedings",
publisher = "The Optical Society",
booktitle = "Optical Fiber Communication Conference, OFC 2021",
address = "美國",
}