Performance and Complexity Analysis of bi-directional Recurrent Neural Network Models vs. Volterra Nonlinear Equalizers in Digital Coherent Systems

3 March 2021

Papers citing "Performance and Complexity Analysis of bi-directional Recurrent Neural Network Models vs. Volterra Nonlinear Equalizers in Digital Coherent Systems"

7 / 7 papers shown

Title
Machine Learning in Short-Reach Optical Systems: A Comprehensive Survey Chen Shao Elias Giacoumidis Syed Moktacim Billah Shi Li Jialei Li Prashasti Sahu Andre Richter Tobias Kaefer Michael Faerber AI4TS 42 0 0 02 May 2024
Unconventional Computing based on Four Wave Mixing in Highly Nonlinear Waveguides Kostas Sozos S. Deligiannidis C. Mesaritakis Adonis Bogris 26 2 0 14 Feb 2024
Knowledge Distillation Applied to Optical Channel Equalization: Solving the Parallelization Problem of Recurrent Connection S. Srivallapanondh Pedro J. Freire B. Spinnler N. Costa A. Napoli S. Turitsyn Jaroslaw E. Prilepsky 14 12 0 08 Dec 2022
Reducing Computational Complexity of Neural Networks in Optical Channel Equalization: From Concepts to Implementation Pedro J. Freire A. Napoli D. A. Ron B. Spinnler M. Anderson W. Schairer T. Bex N. Costa S. Turitsyn Jaroslaw E. Prilepsky 30 28 0 26 Aug 2022
Computational Complexity Evaluation of Neural Network Applications in Signal Processing Pedro J. Freire S. Srivallapanondh A. Napoli Jaroslaw E. Prilepsky S. Turitsyn 40 1 0 24 Jun 2022
Master memory function for delay-based reservoir computers with single-variable dynamics F. Köster S. Yanchuk K. Lüdge 34 5 0 28 Aug 2021
Nonlinear Interference Mitigation via Deep Neural Networks Christian Hager H. Pfister 29 138 0 17 Oct 2017