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IEEE/ICACT20260314 Slide.08        [Big Slide]       [YouTube]	Oral Presentation
	We evaluate our proposed approach using the RML2016.10a dataset, which is a widely used benchmark for automatic modulation classification. The dataset contains 220,000 signal samples covering 11 different modulation schemes, including both digital and analog modulations. Each sample consists of 128 complex-valued I/Q points generated under various signal-to-noise ratio conditions. In our experiments, we focus on the practical SNR range from minus six to eighteen decibels.

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