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Lulu Liu published evaluation metrics on figshare in April 2026 for a proposed wideband signal processing framework. The framework uses a RepViT backbone network to perform detection, recognition, and key parameter extraction on signal spectrograms. Experimental results on a synthetic dataset report a maximum signal recognition rate of 82.43% and normalized root mean squared error for time and frequency parameters.
Data is provided in XLS (Excel) format. License is CC-BY-4.0.