Device dependent distortion correction in time-stretch photonic analog to digital converters using deep neural networks.

Mandeep Singh, Joydip Dutta,Sreeraj S. J,Viswanathan Sankar,Balaji Srinivasan, Lakshmi Narasimhan Theagarajan,Deepa Venkitesh

Optical Fiber Communications Conference and Exhibition(2024)

引用 0|浏览4
暂无评分
摘要
We experimentally demonstrate a novel deep learning-aided time-stretch photonic front end architecture to overcome device-dependent distortions to improve the signal-to-noise and distortion ratio by more than 24 dB, and reduce the bandwidth requirements of the back-end electronic ADC by three times.
更多
查看译文
关键词
Distortion,Deep Neural Network,Analog-to-digital Converter,Time-stretch,Radiofrequency,Photodetector,Feed-forward Network,Optical Pulse,Dispersion Medium,Even And Odd,Electro-optic Modulator,Time-domain Data,Optical Communication Systems,Timing Jitter,Stretching Factor
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要