Signal processing techniques for optical transmission based on eigenvalue communication
J Koch, K Chan, CG Schaeffer… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
A minimum mean squared error (MMSE) equalizer is a way to effectively increase
transmission performance for nonlinear Fourier transform (NFT) based communication …
transmission performance for nonlinear Fourier transform (NFT) based communication …
Dual-polarization nonlinear Fourier transform-based optical communication system
New services and applications are causing an exponential increase in Internet traffic. In a
few years, the current fiber optic communication system infrastructure will not be able to …
few years, the current fiber optic communication system infrastructure will not be able to …
Convolutional long short-term memory neural network equalizer for nonlinear Fourier transform-based optical transmission systems
We evaluate improvement in the performance of the optical transmission systems operating
with the continuous nonlinear Fourier spectrum by the artificial neural network equalisers …
with the continuous nonlinear Fourier spectrum by the artificial neural network equalisers …
Neural networks-based equalizers for coherent optical transmission: Caveats and pitfalls
This paper performs a detailed, multi-faceted analysis of key challenges and common
design caveats related to the development of efficient neural networks (NN) based nonlinear …
design caveats related to the development of efficient neural networks (NN) based nonlinear …
Deep neural network equalization for optical short reach communication
Nonlinear distortion has always been a challenge for optical communication due to the
nonlinear transfer characteristics of the fiber itself. The next frontier for optical …
nonlinear transfer characteristics of the fiber itself. The next frontier for optical …
Alternative decoding methods for optical communications based on nonlinear Fourier transform
Long-haul optical communications based on nonlinear Fourier Transform have gained
attention recently as a new communication strategy that inherently embrace the nonlinear …
attention recently as a new communication strategy that inherently embrace the nonlinear …
Artificial neural network-based equaliser in the nonlinear Fourier domain for fibre-optic communication applications
M Kamalian-Kopae, A Vasylchenkova… - 2019 Conference on …, 2019 - ieeexplore.ieee.org
Nonlinear Fourier transform (NFT) has shown its potential to overcome some challenges of
nonlinear signal distortions in fibre-optic communications ystems [1]. However, there is yet …
nonlinear signal distortions in fibre-optic communications ystems [1]. However, there is yet …
Performance versus complexity study of neural network equalizers in coherent optical systems
We present the results of the comparative performance-versus-complexity analysis for the
several types of artificial neural networks (NNs) used for nonlinear channel equalization in …
several types of artificial neural networks (NNs) used for nonlinear channel equalization in …
Two-stage artificial neural network-based burst-subcarrier joint equalization in nonlinear frequency division multiplexing systems
We propose an artificial neural network (ANN)-based scheme to improve the performance of
nonlinear frequency division multiplexing (NFDM) optical transmission systems in both time …
nonlinear frequency division multiplexing (NFDM) optical transmission systems in both time …
Training data generation and validation for a neural network-based equalizer
The neural network (NN) has been widely used as a promising technique in fiber optical
communication owing to its powerful learning capabilities. The NN-based equalizer is …
communication owing to its powerful learning capabilities. The NN-based equalizer is …