Add to BibSonomyAbstract
The nonlinear compensation algorithm using spectral clustering is experimentally demonstrated for 16-QAM coherent optical communication system. The spectral clustering outperforms density-based spatial clustering of applications with noise (DBSCAN) and K-means clustering.
© 2020 The Author(s)
PDF ArticleMore Like This
Nonlinear Equalizer by Feature Engineering Based-Deep Neural Network for Coherent Optical Communication System
Xinyu Liu, Yongjun Wang, and Chao Li
M4A.275 Asia Communications and Photonics Conference (ACP) 2020
Reduction of nonlinear distortion in SOA-based wavelength conversion system by post-blind-compensation based on machine learning clustering
Yi Lin, Elias Giacoumidis, Sean O’Duill, Aravind P. Anthur, and Liam P. Barry
Th2A.35 Optical Fiber Communication Conference (OFC) 2019
Blind Nonlinearity Compensation by Machine-Learning-Based Clustering for Coherent Optical OFDM
Shoudong Liu, Jie Zhang, Yajie Li, Yongli Zhao, Kai Wang, Xiaokun Yang, and Yi Sun
T4B.6 Asia Communications and Photonics Conference (ACP) 2019