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Modulation Format Identification for Square M-QAM Signals by Using a Neural Network

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Abstract

we propose a modulation format identification method for square M-QAM signals in EON by using a neural network without pre-defined threshold value. We demonstrate identification of QPSK, 16-QAM, 64-QAM formats with a 3 layers neural network.

© 2017 Optical Society of America

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