Towards Neural Network Equalizer Implementations for IM/DD Transceivers
Author:
Affiliation:
1. Optical & Quantum Communications Laboratory Huawei Research Center,Munich,Germany
2. Technical University,Chair for Electronic Design Automation,Munich,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10209604/10209571/10209762.pdf?arnumber=10209762
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1. Fastly converged transfer learning using neuron-pruning nonlinear equalizer for intra data center networking
2. Computationally-Efficient Sparsely-Connected Multi-Output Neural Networks for IM/DD System Equalization
3. Systematic Performance Comparison of (Duobinary)-PAM-2,4 Signaling under Light and Strong Opto-Electronic Bandwidth Conditions;gutiérrez-castrejón;MDPI Photonics,2021
4. Adam: A Method for Stochastic Optimization;kingma;ICLRE,2015
5. Knowledge Distillation Applied to Optical Channel Equalization: Solving the Parallelization Problem of Recurrent Connection
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