HIGHLIGHTS
- who: WEI-TAO ZHANG et al. from the School of Electronic Engineering, Xidian University, Xi'an, China have published the article: Training Images Generation for CNN Based Automatic Modulation Classification, in the Journal: (JOURNAL)
- what: The authors investigate the application of CNN to identifying modulation classes for digitally modulated signals. The authors propose to use a multiple-scale convolutional neural network (MSCNN) as the classifier. To efficiently calculate the locally clustered gray image, the authors propose to use a convolution kernel W, which is shown in Fig 4. In this example, the authors investigate the . . .
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