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Hermite-Gaussian Beams Classification based on 1D Speckle Information using 1D Convolutional Neural Network

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Abstract

Classification of Hermite-Gaussian modes using a randomly picked 1D cross-line array across the 2D speckle pattern of the respective modes is proposed. Less than one-by-thousandth of the image data is utilized for classification.

© 2022 The Author(s)

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