[2] [2] Xue D, Yu S, Yang Q, et al. Frontier research of ultrahigh-speed ultra-large-capacity and ultra-long-haul optical transmission[J]. Frontiers of Optoelectronics, 2016, 9: 123-137.

[4] [4] Khan F N, Fan Q, Lu C, et al. An optical communication's perspective on machine learning and its applications[J]. Journal of Lightwave Technology, 2019, 37(2): 493-516.

[5] [5] Zhao D, Xi L, Tang X, et al. Periodic training sequence aided in-band OSNR monitoring in digital coherent receiver[J]. IEEE Photonics Journal, 2014, 6(4): 1-8.

[6] [6] Lundberg L, Sunnerud H, Johannisson P. In-band OSNR monitoring of PM-QPSK using the Stokes parameters[C]//Optical Fiber Communication Conference. Optical Society of America, 2015: 1-3.

[8] [8] Yin G, Cui S, Ke C J, et al. Reference optical spectrum based in-band OSNR monitoring method for EDFA amplified multispan optical fiber transmission system with cascaded filtering effect[J]. IEEE Photonics J, 2018, 10(3): 7201910.

[9] [9] Wang X, Ma X, Ding Z, et al. Optical signal to noise ratio monitoring for ook signal using delay tap sampling[J]. Optics Communications, 2015, 341: 237-240.

[11] [11] Wang D, Zhang M, Li J, et al. Intelligent constellation diagram analyzer using convolutional neural network-based deep learning[J]. Optics express, 2017, 25(15): 17150-17166.

[12] [12] Luo H, Huang Z, Wu X, et al. Cost-Effective Multi-Parameter Optical Performance Monitoring Using Multi-Task Deep Learning With Adaptive ADTP and AAH[J]. Journal of Lightwave Technology, 2020, (99): 1-1.

[14] [14] Lv H, Zhou X, Huo J, et al. Joint OSNR monitoring and modulation format identification on signal amplitude histograms using convolutional neural network[J]. Optical Fiber Technology, 2021, 61: 102455.

[20] [20] Fu J, Chen S, Xue Y, et al. Estimation of OSNR using ADTP and convolutional neural network under different chromatic dispersion[C]//2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP). IEEE, 2021: 1260-1268.

[21] [21] Pan X, Luo P, Shi J, et al. Two at once: Enhancing learning and generalization capacities via ibn-net[C]//Proceedings of the European Conference on Computer Vision (ECCV).2018: 464-479.