• Journal of Terahertz Science and Electronic Information Technology
  • Vol. 20, Issue 1, 16 (2022)
SHI Changli1、2、*, WEI Tongzhen1、2, WU Lixin1, YE Zeyu1、2, and YIN Jingyuan1、2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.11805/tkyda2021189 Cite this Article
    SHI Changli, WEI Tongzhen, WU Lixin, YE Zeyu, YIN Jingyuan. Modulation classification based on big data in complex environment[J]. Journal of Terahertz Science and Electronic Information Technology , 2022, 20(1): 16 Copy Citation Text show less
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    [3] PENG S,JIANG H,WANG H,et al. Modulation classification based on signal constellation diagrams and deep learning[J].IEEE Transactions on Neural Networks and Learning Systems, 2019,30(3):718–727.

    [4] TU Y,LIN Y,WANG J,et al. Semi-supervised learning with generative adversarial networks on digital signal modulation classification[J]. Computers,Materials & Continua, 2018,55(2):243–254.

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    [10] LIN Y,TU Y,DOU Z. An improved neural network pruning technology for automatic modulation classification in edge devices[J].IEEE Transactions on Vehicular Technology, 2020,69(5):5703–5706.

    [11] MA M,LI Z,LIN Y,et al. Modulation classification method based on deep learning under non-Gaussian noise[C]// 2020 IEEE 91st Vehicular Technology Conference(VTC2020-Spring). Antwerp,Belgium:IEEE, 2020:1–5.

    SHI Changli, WEI Tongzhen, WU Lixin, YE Zeyu, YIN Jingyuan. Modulation classification based on big data in complex environment[J]. Journal of Terahertz Science and Electronic Information Technology , 2022, 20(1): 16
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