Neural Networks-Based Equalizers for Coherent Optical Transmission: Caveats and Pitfalls

Author:

Freire Pedro J.1ORCID,Napoli Antonio2ORCID,Spinnler Bernhard2ORCID,Costa Nelson3ORCID,Turitsyn Sergei K.1ORCID,Prilepsky Jaroslaw E.1ORCID

Affiliation:

1. Aston Institute of Photonic Technologies, Aston University, Birmingham, U.K.

2. Infinera R&D, Munich, Germany

3. Infinera Unipessoal, Carnaxide, Portugal

Funder

Leverhulme Trust

EPSRC Project TRANSNET

EU Horizon 2020 Program

Marie Sklodowska-Curie

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics

Reference93 articles.

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3. A Bayesian perspective on generalization and stochastic gradient descent;smith,2017

4. The general inefficiency of batch training for gradient descent learning

5. Experimental Analysis of 8-QAM Constellations for Adaptive Optical OFDM Systems

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