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IEEE/ICACT20260314 Slide.02
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First, I will briefly introduce the motivation and background of automatic modulation classification. Then, I will explain the proposed CNN–Transformer hybrid architecture and the different attention mechanisms investigated in this study. After that, I will describe the dataset and experimental setup. Finally, I will present the performance results, computational efficiency analysis, and key insights, followed by conclusions and future research directions. | |
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