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Generative Adversarial Network-Based Electromagnetic Signal Classification: A Semi- Supervised Learn
[期刊论文] 作者：Huaji Zhou,Licheng Jiao,Shilia,
来源：中国通信:英文版 年份：2020
Generative adversarial network(GAN)has achieved great success in many fields such as computer vision,speech processing,and natural language processing,because o...
[期刊论文] 作者：Shilian Zheng,Shichuan Chen,Peihan Qi,Huaji Zhou,Xiaoniu Yang,
来源：中国通信（英文版） 年份：2020
Spectrum sensing is a key technol-ogy for cognitive radios.We present spectrum sensing as a classification problem and pro-pose a sensing method based on deep l...
Deep Spectrum Prediction in High Frequency Communication Based on Temporal-Spectral Residual Network
[期刊论文] 作者：Ling Yu,Jin Chen,Yuming Zhang,Huaji Zhou,Jiachen Sun,
来源：中国通信（英文版） 年份：2018
High frequency (HF) communication is widely spread due to some merits like easy deployment and wide communication coverage. Spectrum prediction is a promising t...
Generative Adversarial Network-Based Electromagnetic Signal Classification: A Semi-Supervised Learni
[期刊论文] 作者：Huaji Zhou,Licheng Jiao,Shilian Zheng,Lifeng Yang,Weiguo Shen,Xiaoniu Yang,
来源：中国通信（英文版） 年份：2020
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[期刊论文] 作者：Shilian Zheng,Linhui Ye,Xuanye Wang,Jinyin Chen,Huaji Zhou,Caiyi Lou,Zhijin Zhao,Xiaoniu Yang,
来源：中国通信（英文版） 年份：2021
The spectrum sensing model based on deep learning has achieved satisfying detection per-formence,but its robustness has not been verified.In this paper,we propose primary user adversarial attack(PUAA) to verify the robustness of the deep le......
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