Meta-learning-enabled accurate OSNR monitoring of directly detected QAM signals with one-shot training.
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DOI: 10.1364/ol.456877
Abstract: We experimentally demonstrate meta-learning-enabled accurate optical signal-to-noise ratio (OSNR) monitoring of directly detected 16QAM signals with extremely few training data. When one-shot training, where one amplitude histogram (AH) for each OSNR value includes only 2000… read more here.
Keywords: meta learning; learning enabled; osnr monitoring; monitoring directly ... See more keywords