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Conferences > CLEO_SI > 2018 > STh1C > STh1C.1

Learning of Laser Dynamics using Bayesian Inference

Darko Zibar, Christian Schaeffer, and Jesper Mørk

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Abstract

Techniques from Bayesian machine learning and digital coherent detection are applied to perform frequency noise characterization. Significant advantages of the presented techniques are high-sensitivity and direct access to the uncertainty of the frequency noise measurement.

© 2018 The Author(s)

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