Experimental demonstration of arbitrary Raman gain-profile designs using machine learning
Abstract
A machine learning framework for Raman amplifier design is experimentally tested. Performance in terms of maximum error over the gain profile is investigated for various fiber types and lengths, demonstrating highly-accurate designs.
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