Physical neural network enhances real-time imaging with diffraction-free quality in THz applications, suggesting improved performance.
A physical neural network for THz imaging employs hybrid optical-digital signal dimension transformation to address hardware limitations, achieving high-quality, diffraction-free, real-time imaging at 2 frames per second with an expandable field of view.
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Wu et al. (2025) studied this question.
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