Robustness of deep modulation recognition under awgn and rician fading

B Luo, Q Peng, PC Cosman… - 2018 52nd Asilomar …, 2018 - ieeexplore.ieee.org
We study the robustness of modulation recognition using deep neural networks. This is of
critical importance for applying deep learning for radio modulation classification, because …
被引用次数：12 相关文章
[PDF] ucsd.edu

[PDF][PDF] Robustness of Deep Modulation Recognition under AWGN and Rician Fading

B Luo, Q Peng, PC Cosman, LB Milstein - code.ucsd.edu
We study the robustness of modulation recognition using deep neural networks. This is of
critical importance for applying deep learning for radio modulation classification, because …
[PDF] researchgate.net

[PDF][PDF] Robustness of Deep Modulation Recognition under AWGN and Rician Fading

B Luo, Q Peng, PC Cosman, LB Milstein - researchgate.net
We study the robustness of modulation recognition using deep neural networks. This is of
critical importance for applying deep learning for radio modulation classification, because …
[PDF] ucsd.edu

[PDF][PDF] Robustness of Deep Modulation Recognition under AWGN and Rician Fading

B Luo, Q Peng, PC Cosman, LB Milstein - code.ucsd.edu
We study the robustness of modulation recognition using deep neural networks. This is of
critical importance for applying deep learning for radio modulation classification, because …