@inproceedings{1d07a81f8c904f8c9ad1146fe024e0be,
title = "Nonlinear Impairment Compensation Using Neural Networks",
abstract = "Neural networks are attractive for nonlinear impairment compensation applications in communication systems. In this paper, several approaches to reduce computational complexity of the neural network-based algorithms are presented.",
author = "Shinsuke Fujisawa and Fatih Yaman and Batshon, {Hussam G.} and Massaki Tanio and Naoto Ishii and Chaoran Huang and {De Lima}, {Thomas Ferreira} and Yoshihisa Inada and Prucnal, {Paul R.} and Norifumi Kamiya and Ting Wang",
note = "Publisher Copyright: {\textcopyright} 2021 OSA.; 2021 Optical Fiber Communications Conference and Exhibition, OFC 2021 ; Conference date: 06-06-2021 Through 11-06-2021",
year = "2021",
month = jun,
language = "English (US)",
series = "2021 Optical Fiber Communications Conference and Exhibition, OFC 2021 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2021 Optical Fiber Communications Conference and Exhibition, OFC 2021 - Proceedings",
address = "United States",
}