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徐东阳

副教授    博士生导师    硕士生导师

个人信息 更多+
  • 学历: 博士研究生毕业
  • 学位: 博士
  • 职称: 副教授

智能通信技术及应用

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We are applying artificial intelligence (AI) and machine learning (ML) to radiofrequency (RF) signals for defense applications.

Fig 1 System model of FWSResNet based radio device’s identification.

Fig 2 Different order scattering coefficients from FWSResNet

We are applying reinforcement learning (RL) and federated learning (FL) to edge computing

Fig 3 System model of RL and RL based edge computing in 5G

We are also applying AI to LoRa device identification

Fig 4 The proposed hybrid DFSNet architecture for LoRa fingerprinting