首页> 外文OA文献 >Assessment of Linearity Improvement in Optical Communication Systems with Machine Learning Methods

【2h】

Assessment of Linearity Improvement in Optical Communication Systems with Machine Learning Methods

机译：利用机器学习方法评估光通信系统的线性改进

代理获取

本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。

页面导航

著录项
引文网络
相似文献
相关主题

著录项

作者
Muhammad Usman Hadi;
展开▼
作者单位

展开▼
年度 2019
总页数
原文格式 PDF
正文语种
中图分类

相似文献

外文文献
中文文献
专利

1. Advancing theoretical understanding and practical performance of signal processing for nonlinear optical communications through machine learning [J] . Qirui Fan, Gai Zhou, Tao Gui, Nature Communications . 2020,第1期

机译：通过机器学习推进信号处理信号处理的理论理解和实践性能
2. Performance improvement of 64-QAM coherent optical communication system by optimizing symbol decision boundary based on support vector machine [J] . Chen Wei, Zhang Junfeng, Gao Mingyi, Optics Communications: A Journal Devoted to the Rapid Publication of Short Contributions in the Field of Optics and Interaction of Light with Matter . 2018,第期

机译：基于支持向量机的符号决策边界优化64-QAM相干光通信系统的性能改进
3. Combatting nonlinear phase noise in coherent optical systems with an optimized decision processor based on machine learning [J] . Wang Danshi, Zhang Min, Cai Zhongle, Optics Communications: A Journal Devoted to the Rapid Publication of Short Contributions in the Field of Optics and Interaction of Light with Matter . 2016,第Null期

机译：使用基于机器学习的优化决策处理器来处理相干光学系统中的非线性相位噪声
4. Machine Learning Algorithms for Error Correction in Space Optical Communications Systems [C] . Naveed Naimipour, Haleh Safavi, Harry Shaw, IAF Space Communications and Navigation Symposium;International Astronautical Congress . 2020

机译：空间光通信系统纠错机学习算法
5. Machine Learning for Optical Communications, Nonlinear Optics, and Quantum Optics [D] . Lohani, Sanjaya. 2020

机译：光通信，非线性光学和量子光学机器学习
6. Advancing theoretical understanding and practical performance of signal processing for nonlinear optical communications through machine learning [O] . Qirui Fan, Gai Zhou, Tao Gui, -1

机译：通过机器学习提高对非线性光通信信号处理的理论理解和实用性能
7. Machine learning methods for optical communications [O] . Hadi Muhammad Usman 2020

机译：光通信机器学习方法

Assessment of Linearity Improvement in Optical Communication Systems with Machine Learning Methods

著录项

引文网络

相似文献

相关主题

期刊订阅