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eess.SP2019★ 4 cited
Fully Dense Neural Network for the Automatic Modulation Recognition
Miao Du, Qin Yu, Shaomin Fei +3
Nowadays, we mainly use various convolution neural network (CNN) structures to extract features from radio data or spectrogram in AMR. Based on expert experience and spectrograms,…
eess.SP2019★ 4 cited
A Radio Signal Modulation Recognition Algorithm Based on Residual Networks and Attention Mechanisms
Ruisen Luo, Tao Hu, Zuodong Tang +3
To solve the problem of inaccurate recognition of types of communication signal modulation, a RNN neural network recognition algorithm combining residual block network with attenti…