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IEEE/ICACT20260373 Slide.16        [Big Slide]       [YouTube]	Oral Presentation
	Our findings have three major theoretical implications for the field. First, we proved that GANs can effectively generate synthetic radar data to fill the data scarcity gap; second, we successfully aligned features between simulated MATLAB data and real-world drone data; and third, we demonstrated the power of unsupervised pre-training for processing intermediate-frequency signals.

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