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Conferences > OFC > 2017 > W2A > W2A.51

Experimental estimation of optical nonlinear memory channel conditional distribution using deep neural networks

Rafael Rios-Müller, José Manuel Estarán, and Jeremie Renaudier

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Abstract

We demonstrate that neural networks can approximate the conditional distribution of non-linear channels with memory. This distribution then feeds the BCJR algorithm to detect transmitted data in experimental IM/DD 3.2-km transmission of 64 GBd PAM4.

© 2017 Optical Society of America

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