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 …
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 …
Multi-symbol digital signal processing techniques for discrete eigenvalue transmissions based on nonlinear Fourier transform
Optical communications based on Nonlinear Fourier Transform (NFT) and digital coherent
transceivers are proposed as a new theoretical framework for communications over the …
transceivers are proposed as a new theoretical framework for communications over the …
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 …
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 …
[HTML][HTML] Phase computation for the finite-genus solutions to the focusing nonlinear Schrödinger equation using convolutional neural networks
We develop a method for retrieving a set of parameters of a quasi-periodic finite-genus
(finite-gap) solution to the focusing nonlinear Schrödinger (NLS) equation, given the solution …
(finite-gap) solution to the focusing nonlinear Schrödinger (NLS) equation, given the solution …
Neural network-aided receivers for soliton communication impaired by solitonic interaction
Y Chen, M Baniasadi, M Safari - Optics Express, 2023 - opg.optica.org
In this paper, different neural network-based methods are proposed to improve the
achievable information rate in amplitude-modulated soliton communication systems. The …
achievable information rate in amplitude-modulated soliton communication systems. The …
Frequency offset modeling in presence of ASE noise and corresponding low-complexity solution for discrete spectrum modulated nonlinear frequency division …
Y Bi, H Xu, H Gao, C Bai, Y Zhang, L Xi, N Cui… - Optics …, 2023 - Elsevier
For discrete spectrum modulated nonlinear frequency division multiplexing (DS-NFDM)
transmission, the combined effect of laser frequency offset (FO) and amplifier spontaneous …
transmission, the combined effect of laser frequency offset (FO) and amplifier spontaneous …
Geometric shaping optimization of 64-APSK constellation in discrete nonlinear frequency division multiplexing systems
We experimentally demonstrated a geometric shaped (GS) 64-ary amplitude phase shift
keying (64-APSK) eigenvalue transmission. The signal is modulated on the scatter …
keying (64-APSK) eigenvalue transmission. The signal is modulated on the scatter …
Multi-eigenvalue demodulation using complex moment-based eigensolver and neural network
Optical eigenvalues originating in optical solitons are the potential for becoming information
carriers not affected by chromatic dispersion and nonlinear effects in optical fibers. They are …
carriers not affected by chromatic dispersion and nonlinear effects in optical fibers. They are …