W. Jarrett, S. Avramov-Zamurovic, J. Esposito, C. Nelson
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Challenges when Partially Training a Machine Learning-Based Optical Communication System in Variable Experimental Conditions
We present challenges when training a machine learning-based underwater wireless optical communication system in selected experimental scenarios. The system is tested under different conditions, that include minor beam misalignment and varying optical turbulence.
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