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Towards the Use of Machine Learning in Setups for OAM Mode Excitation in Optical Fibers

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Abstract

Machine Learning algorithms driving spatial light modulators may help achieve higher purity in excited orbital angular momentum modes in fibers. Some preparatory steps are investigated to potentially enable effective Machine Learning in such a configuration.

© 2018 The Author(s)

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Poster Presentation

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