Low-complexity samples versus symbols-based neural network receiver for channel equalization
Low-complexity neural networks (NNs) have successfully been proposed for digital signal
processing (DSP) in short-reach intensity-modulated directly detected optical links, where …
processing (DSP) in short-reach intensity-modulated directly detected optical links, where …
Multistability analysis of complex-valued recurrent neural networks with sine and cosine activation functions
L Yang, W Gong, Q Li, F Sun, M Xing - Neurocomputing, 2024 - Elsevier
This paper is devoted to the multistability problem for complex-valued recurrent neural
networks (CVRNNs) with a specific class of piecewise nonlinear activation functions. Firstly …
networks (CVRNNs) with a specific class of piecewise nonlinear activation functions. Firstly …
Deep Neural Network for Joint Nonlinearity Compensation and Polarization Tracking in the Presence of PDL
R Mosayebi, L Lampe - Journal of Lightwave Technology, 2024 - ieeexplore.ieee.org
This article presents a novel deep linear and nonlinear compensation network (DLNCN) that
effectively addresses linear and nonlinear distortion in conjunction with polarization …
effectively addresses linear and nonlinear distortion in conjunction with polarization …
Coherent all-optical reservoir computing for nonlinear equalization in long-haul optical fiber communication systems
G Peng, Y Liu, Z Li, K Zhu, Z Yang, J Li, S Zhang… - Optics & Laser …, 2024 - Elsevier
Photonic reservoir computing (RC), as a promising paradigm of optical signal processing,
has attracted a great deal of attention in fiber nonlinearity equalization recently. For real long …
has attracted a great deal of attention in fiber nonlinearity equalization recently. For real long …
Combining Optical and Digital Compensation: Neural Network-Based Channel Equalisers in Dispersion-Managed Communications Systems
K Nurlybayeva, M Kamalian-Kopae… - Journal of Lightwave …, 2024 - ieeexplore.ieee.org
Machine learning methods, including artificial neural networks, used for mitigation of
nonlinear transmission impairments in ultra-long-haul and long-haul unmanaged fibre-optic …
nonlinear transmission impairments in ultra-long-haul and long-haul unmanaged fibre-optic …
Noisy samples-robust Neural Network-based Equalizer for Coherent Optical Transmission Nonlinearity Compensation
L Deng, Z Cao, L Dai, Z Zhang, S Yao, Q Yang, D Liu - 2024 - researchsquare.com
Nonlinear impairments introduced by optical/electrical components in coherent transceivers
(CO-TRx) and optical fiber are the primary bottleneck for enhancing optical transmission …
(CO-TRx) and optical fiber are the primary bottleneck for enhancing optical transmission …