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IEEE/ICACT20260373 Slide.02        [Big Slide]       [YouTube]	Oral Presentation
	To provide some context, the field of signal feature extraction has shifted dramatically in recent years. While we used to rely on traditional, manual algorithms like Fourier and Wavelet Transforms, these methods were often brittle and struggled in noisy environments. The industry is now moving towards deep learning models like CNNs and GANs, which have the distinct advantage of autonomously learning patterns from large-scale data, thereby eliminating the need for handcrafted feature extractors.

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