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Orbital Angular Momentum (OAM) Recognition with Generative Adversarial Network (GAN) based Atmospheric Modeling

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Abstract

We proposed a Generative Adversarial Network (GAN) based atmospheric modeling method which helps with the Orbital angular momentum (OAM) recognition to achieve better accuracy with limited data.

© 2021 The Author(s)

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