Results 261 to 270 of about 152,793 (295)

Fractal Dimension Aided Modulation Formats Identification Based on Support Vector Machines

2017 European Conference on Optical Communication (ECOC), 2017
We proposed and demonstrated a fractal dimension aided modulation formats identification method based on support vector machines. The overall identification accuracies above 98.05% are achieved for six commonly-used modulation formats under different practical channel conditions.
Huibin Zhou, Ming Tang, Xi Chen, Zhenhua Feng, Qiong Wu, Songnian Fu, Deming Liu   +6 more
openaire   +1 more source

Blind Density-Peak-Based Modulation Format Identification for Elastic Optical Networks

Journal of Lightwave Technology, 2018
Optical modulation format identification is critical in the next generation of heterogeneous and reconfigurable optical networks. Here, we present a blind modulation format identification method by applying fast density-peak-based pattern recognition in the autonomous receiver of elastic optical networks.
Lin Jiang, Lianshan Yan, Anlin Yi, Yan Pan, Tianwai Bo, Ming Hao, Wei Pan, Bin Luo   +7 more
openaire   +1 more source

Modulation Format Identification Based on Channel-spatial Attention Modules and Deep Learning

2023 IEEE 5th International Conference on Civil Aviation Safety and Information Technology (ICCASIT), 2023
Qian Chen, Qi Zhang, Xiangjun Xin, Yi Cui, Fu Wang, Feng Tian, Qinghua Tian, Yongjun Wang, Leijing Yang   +8 more
openaire   +1 more source

Photonic-assisted Modulation Format Identification Using Convolutional Neural Networks

2022 Asia Communications and Photonics Conference (ACP), 2022
Zongxin Gan, Jia Ye, Lianshan Yan, Xihua Zou, Wei Pan   +4 more
openaire   +1 more source

Live Demonstration of Modulation Format Identification Using a Photonic Neural Network

Optical Fiber Communication Conference (OFC) 2025
We demonstrate modulation format identification on a micro ROADM ring using a photonic neural network with low-speed photodiodes. The goal is identifying dual-polarized 4QAM and 16QAM signals with symbol rates between 32 and 35 GBd.
Guillermo von Hünefeld, Mahdi Kaveh, Joseph Hopfmüller, Pooyan Safari, Enes Şeker, Rijil Thomas, Mahtab Aghaeipour, David Stahl, Stephan Suckow, Max Lemme, Johannes Karl Fischer, Colja Schubert, Ronald Freund   +12 more
openaire   +1 more source

Modulation format identification based on the mean-shift algorithm

Fourteenth International Conference on Information Optics and Photonics (CIOP 2023), 2023
Yufan Hao, Qi Zhang, Qihan Zhao, Xiangjun Xin, Feng Tian, Qinghua Tian, Fu Wang, Yongjun Wang, Leijing Yang   +8 more
openaire   +1 more source

Transfer Learning-assisted Modulation Format Identification for Low OSNR

2023 IEEE IAS Global Conference on Emerging Technologies (GlobConET), 2023
Dhirendra Kumar Jha, Jitendra K. Mishra
openaire   +1 more source

Modulation Format Identification Using Supervised Learning and High-Dimensional Features

Arabian Journal for Science and Engineering, 2022
Ahmed K. Ali, Ergun Erçelebi
openaire   +1 more source

Joint Modulation Format Identification and OSNR Monitoring based on LSTM

2022 Asia Communications and Photonics Conference (ACP), 2022
Xingle Chang, Zhipei Li, Qi Zhang, Chenchen Wang, Yongjun Wang, Qinghua Tian, Feng Tian, Xiangjun Xin   +7 more
openaire   +1 more source

Optical Modulation Format Identification Under Hybrid OSNRs Using LIN Model

2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings (ACP/POEM), 2023
Weiwen Chen, Meng Liang
openaire   +1 more source