Artificial neural networks for photonic applications—from algorithms to implementation: tutorial
This tutorial–review on applications of artificial neural networks in photonics targets a broad
audience, ranging from optical research and engineering communities to computer science …
audience, ranging from optical research and engineering communities to computer science …
Bayesian regularization knack-based intelligent networks for thermo-physical analysis of 3D MHD nanofluidic flow model over an exponential stretching surface
Artificial intelligence (AI) knacks are exploited broadly by the research community in the field
of engineering and technology to enhance efficacy of the outputs for rapid development of …
of engineering and technology to enhance efficacy of the outputs for rapid development of …
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 …
Backpropagated intelligent networks for the entropy generation and joule heating in hydromagnetic nanomaterial rheology over surface with variable thickness
In the current study, strength of backpropagated intelligent networks (BINs) is exploited for
numerical investigations of entropy characteristics in magnetohydrodynamics (MHD) …
numerical investigations of entropy characteristics in magnetohydrodynamics (MHD) …
10.83 Tb/s over 800 Km nonlinear frequency division multiplexing WDM transmission
X Chen, X Fang, F Yang, F Zhang - Journal of Lightwave …, 2022 - ieeexplore.ieee.org
Nonlinear frequency division multiplexing (NFDM) transmission scheme has attracted great
interest in optical fiber communication systems due to its potential for surpassing the Kerr …
interest in optical fiber communication systems due to its potential for surpassing the Kerr …
Serial and parallel convolutional neural network schemes for NFDM signals
Two conceptual convolutional neural network (CNN) schemes are proposed, developed and
analysed for directly decoding nonlinear frequency division multiplexing (NFDM) signals …
analysed for directly decoding nonlinear frequency division multiplexing (NFDM) signals …
Eigenvalue-domain neural network demodulator for eigenvalue-modulated signal
Optical eigenvalue communication is a promising technique for overcoming the Kerr
nonlinear limit in optical communication systems. The optical eigenvalue associated with the …
nonlinear limit in optical communication systems. The optical eigenvalue associated with the …
Correlation-aided nonlinear spectrum detection
Q Zhang, FR Kschischang - Journal of Lightwave Technology, 2021 - opg.optica.org
It is shown that a higher spectral efficiency (SE) can be achieved in a narrow-bandwidth-
modulated NFDM subsystem than a moderate-bandwidth one. Exploiting the statistical …
modulated NFDM subsystem than a moderate-bandwidth one. Exploiting the statistical …
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 …
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 …