Effect of compensation and discipline on employee performance: a case study Indonesia

I Prasetyo, EW Endarti, B Endarto… - Journal of Hunan …, 2021 - eprints.uwp.ac.id
This research aims to determine whether the influence of compensation and discipline
variable on the employees of regional public bodies is further compared to the results of …

Convolutional long short-term memory neural network equalizer for nonlinear Fourier transform-based optical transmission systems

O Kotlyar, M Kamalian-Kopae, M Pankratova… - Optics …, 2021 - opg.optica.org
We evaluate improvement in the performance of the optical transmission systems operating
with the continuous nonlinear Fourier spectrum by the artificial neural network equalisers …

Serial and parallel convolutional neural network schemes for NFDM signals

WQ Zhang, TH Chan, SA Vahid - Scientific reports, 2022 - nature.com
Two conceptual convolutional neural network (CNN) schemes are proposed, developed and
analysed for directly decoding nonlinear frequency division multiplexing (NFDM) signals …

Channel model and the achievable information rates of the optical nonlinear frequency division-multiplexed systems employing continuous b-modulation

S Derevyanko, M Balogun, O Aluf, D Shepelsky… - Optics …, 2021 - opg.optica.org
Following the rise in interest in transmission systems employing the nonlinear Fourier
transform (NFT) for the nonlinearity mitigation, we present the theoretical analysis of the …

Channel model for the dual-polarization b-modulated nonlinear frequency-division multiplexing optical transmission systems

SA Derevyanko, JE Prilepsky - Optics Express, 2023 - opg.optica.org
We consider optical transmission systems based on the nonlinear frequency division
multiplexing (NFDM) concept, ie, the systems employing the nonlinear Fourier transform …

Direct decoding of nonlinear OFDM-QAM signals using convolutional neural network

WQ Zhang, TH Chan, S Afshar V - Optics Express, 2021 - opg.optica.org
Nonlinear Fourier transform, as a technique that has a great potential to overcome the
capacity limit in fibre optical communication system, faces speed and accuracy bottlenecks …

Neural network for calculating direct and inverse nonlinear Fourier transform

EV Sedov, IS Chekhovskoy, JE Prilepsky - Quantum Electronics, 2021 - iopscience.iop.org
A neural network architecture is proposed that allows a continuous nonlinear spectrum of
optical signals to be predicted and an inverse nonlinear Fourier transform (NFT) to be …

Dual-polarization Hermite-Gaussian-based NFDM transmission system

M Balogun, S Derevyanko, L Barry - IEEE Access, 2023 - ieeexplore.ieee.org
The nonlinear frequency division multiplexing (NFDM) transmission scheme continues to
attract high interests in optical communications due to its robustness against nonlinearity …

Fixed-point realisation of fast nonlinear Fourier transform algorithm for FPGA implementation of optical data processing

A Vasylchenkova, D Salnikov… - … and Applications XII, 2021 - spiedigitallibrary.org
The nonlinear Fourier transform (NFT) based signal processing has attracted considerable
attention as a promising tool for fibre nonlinearity mitigation in optical transmission …

A neural network for forward and inverse nonlinear Fourier transforms for fibre optic communication

WQ Zhang, TH Chan, S Afshar - Optics & Laser Technology, 2024 - Elsevier
We propose a neural network for both forward and inverse continuous nonlinear Fourier
transforms, NFT and INFT respectively. We demonstrate the network's capability to perform …