Automatic Modulation Classification Based on Deep Learning for Software-Defined Radio

Figure 9

The overall classification accuracy of the six methods from −20 dB to 18 dB with different parameters. (a) The overall classification accuracy of CNN with different parameters. (b) The overall classification accuracy of ResNet with different parameters. (c) The overall classification accuracy of Inception with different parameters. (d) The overall classification accuracy of LSTM with different parameters. (e) The overall classification accuracy of MentorNet with different parameters. (f) The overall classification accuracy of the proposed method with different parameters.

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