Work

32 Gb/s chaotic optical communications by deep-learning-based chaos synchronization

Year: 2019

Type: article

Source: Optics Letters

DOI: 10.1364/ol.44.005776

Authors: Junxiang Ke, Lilin Yi, Zhao Yang, Yunpeng Yang, Qunbi Zhuge, Yaping Chen, Weisheng Hu

Institutions: Shanghai Jiao Tong University, State Key Laboratory of Advanced Optical Communication Systems and Networks, State Key Laboratory of Advanced Optical Communication Systems and Networks

Language: English

Topic: Chaos control and synchronization

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: closed

Funder: National Key Research and Development Program of China

OpenAlex ID: W2990976596

FWCI: 4.964

Cites: 18

Cited by: 117

Related to: 10