3 citations · 7 across the 5 of their papers we have counts for
13 papers
Fast predicting the complex nonlinear dynamics of mode-locked fiber laser by a recurrent neural network with prior information feeding
Guoqing Pu, Runmin Liu, Hang Yang +4
As an imperative method of investigating the internal mechanism of femtosecond lasers, traditional femtosecond laser modeling relies on the split-step Fourier method (SSFM) to iter…
An Interpretable Mapping from a Communication System to a Neural Network for Optimal Transceiver-Joint Equalization
Zhiqun Zhai, Hexun Jiang, Mengfan Fu +4
In this paper, we propose a scheme that utilizes the optimization ability of artificial intelligence (AI) for optimal transceiver-joint equalization in compensating for the optical…
Low Complexity Component Nonlinear Distortions Mitigation Scheme for Probabilistically Shaped 64-QAM Signals
Yiwen Wu, Mengfan Fu, Huazhi Lun +3
We propose a degenerated hierarchical look-up table (DH-LUT) scheme to compensate component nonlinearities. For probabilistically shaped 64-QAM signals, it achieves up to 2-dB SNR…
A Data-Fusion-Assisted Telemetry Layer for Autonomous Optical Networks
Xiaomin Liu, Huazhi Lun, Ruoxuan Gao +4
For further improving the capacity and reliability of optical networks, a closed-loop autonomous architecture is preferred. Considering a large number of optical components in an o…
First insight into the regime transition dynamics of mode-locked fibre lasers
Guoqing Pu, Lilin Yi, Li Zhang +3
Mode-locked lasers exhibit complex nonlinear dynamics. Precise observation of these dynamics will aid in understanding of the underlying physics and provide new insights for laser…
Real-time programmable mode-locked fiber laser with a human-like algorithm
Guoqing Pu, Lilin Yi, Li Zhang +1
Nonlinear polarized evolution-based passively mode-locked fiber lasers with ultrafast and high peak power pulses are a powerful tool for engineering applications and research. Howe…