• Study On Optical Communications
  • Vol. 49, Issue 1, 42 (2023)
Jun LIU, Bo-zhong LI*, Fang CHENG, Zi-fan LI..., Ying GUO, Yu-xiao SUN, Cun-xue DENG, Ru-yi ZHANG and Ying-xu WANG|Show fewer author(s)
Author Affiliations
  • State Grid Information and Telecommunication Branch, Beijing 100761, China
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    DOI: 10.13756/j.gtxyj.2023.01.004 Cite this Article
    Jun LIU, Bo-zhong LI, Fang CHENG, Zi-fan LI, Ying GUO, Yu-xiao SUN, Cun-xue DENG, Ru-yi ZHANG, Ying-xu WANG. Optical Performance Monitoring Technology of IMDD System based on Deep Neural Network[J]. Study On Optical Communications, 2023, 49(1): 42 Copy Citation Text show less
    References

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    [4] Tanimura T, Hoshida T, Rasmussen J et al. OSNR Monitoring by Deep Neural Networks Trained with Asynchronously Sampled Data[C], TuB3-5(2016).

    [5] Wang D, Zhang M, Li Z et al. Modulation Format Recognition and OSNR Estimation Using CNN-based Deep Learning[J]. IEEE Photonics Technology Letters, 29, 1667-1670(2017).

    [6] Wang D, Zhang M, Li J et al. Intelligent Constellation Diagram Analyzer Using Convolutional Neural Network-based Deep Learning[J]. Optics Express, 25, 17150(2017).

    [7] Wang C, Fu S, Xiao Z et al. Long Short-Term Memory Neural Network (LSTM-NN) Enabled Accurate Optical Signal-to-Noise Ratio (OSNR) Monitoring[J]. Journal of Lightwave Technology, 37, 4140-4146(2019).

    Jun LIU, Bo-zhong LI, Fang CHENG, Zi-fan LI, Ying GUO, Yu-xiao SUN, Cun-xue DENG, Ru-yi ZHANG, Ying-xu WANG. Optical Performance Monitoring Technology of IMDD System based on Deep Neural Network[J]. Study On Optical Communications, 2023, 49(1): 42
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