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This dimensionality-reduced neural network enables fast extraction of radial intensity data, suggesting improved measurement precision.
A dimensionality-reduced, training-free radial physical neural network for the mode decomposition method is proposed, enabling fast, high-precision measurement by extracting an arbitrary column of radial data from the intensity pattern.
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Gao et al. (2025) studied this question.
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