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Demonstration of Im/Dd 3-Tbit/S Ps-Pam8 Transmission with Wavelength and Mode Multiplexing Based on Nn Equalizer
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Robustness enhancement of indoor visible light positioning system based on cascaded residual neural network
inferredcites →https://doi.org/10.1109/jlt.2018.2858151openalex-extracted
High-Speed Bi-Directional Transmission Over Multimode Fiber Link in IM/DD Systems
inferredcites →https://doi.org/10.1109/jlt.2018.2865109openalex-extracted
End-to-End Deep Learning of Optical Fiber Communications
inferredcites →https://doi.org/10.1109/jlt.2018.2888547openalex-extracted
Machine Learning for 100 Gb/s/λ Passive Optical Network
inferredcites →https://doi.org/10.1109/jlt.2019.2898855openalex-extracted
Probabilistic Constellation Shaping for Optical Fiber Communications
inferredcites →https://doi.org/10.1109/jlt.2020.2969296openalex-extracted
Convolutional Neural Network Based Atmospheric Turbulence Compensation for Optical Orbital Angular Momentum Multiplexing
inferredcites →https://doi.org/10.1109/jlt.2020.2973718openalex-extracted
Compressed Neural Network Equalization Based on Iterative Pruning Algorithm for 112-Gbps VCSEL-Enabled Optical Interconnects
inferredcites →https://doi.org/10.1109/jlt.2020.2976479openalex-extracted
Neural Turbo Equalization: Deep Learning for Fiber-Optic Nonlinearity Compensation
inferredcites →https://doi.org/10.1109/jlt.2020.3025163openalex-extracted
Nonlinear Equalization Based on Artificial Neural Network in DML-Based OFDM Transmission Systems
inferredcites →https://doi.org/10.1109/jlt.2020.3029336openalex-extracted
Coupled Transceiver-Fiber Nonlinearity Compensation Based on Machine Learning for Probabilistic Shaping System
inferredcites →https://doi.org/10.1109/jlt.2020.3031363openalex-extracted
Feedforward and Recurrent Neural Network-Based Transfer Learning for Nonlinear Equalization in Short-Reach Optical Links
inferredcites →https://doi.org/10.1109/jlt.2021.3122161openalex-extracted
Deep Neural Network-Based Digital Pre-Distortion for High Baudrate Optical Coherent Transmission
inferredcites →https://doi.org/10.1109/jlt.2022.3222334openalex-extracted
A Coalesce Security System of PDM and SDM Based on a Flexible Configuration of Multi-Channel Keys
inferredcites →https://doi.org/10.1109/jlt.2022.3228595openalex-extracted
Impact of the Interplay Between Mode Dispersion and Kerr Effect in SDM Optical Networks
inferredcites →https://doi.org/10.1109/jphot.2023.3272737openalex-extracted
Joint WDM and OAM Mode Group Multiplexed Transmission Over Conventional Multimode Fiber
inferredcites →https://doi.org/10.1109/jstqe.2021.3077907openalex-extracted
Diffractive Deep Neural Network for Optical Orbital Angular Momentum Multiplexing and Demultiplexing
inferredcites →https://doi.org/10.1109/lpt.2018.2866402openalex-extracted
Experimental Demonstration of Indoor Sub-Decimeter Accuracy VLP System Using Differential PDOA
inferredcites →https://doi.org/10.1364/jocn.450504openalex-extracted
Design and evaluation of a reconfigurable optical add-drop multiplexer with flexible wave-band routing in SDM networks
inferredcites →https://doi.org/10.1364/oe.22.015599openalex-extracted
Efficient and mode selective spatial mode multiplexer based on multi-plane light conversion
inferredcites →https://doi.org/10.1364/oe.27.007822openalex-extracted
Memory-controlled deep LSTM neural network post-equalizer used in high-speed PAM VLC system
inferredcites →https://doi.org/10.1364/oe.416672openalex-extracted
Bi-directional gated recurrent unit neural network based nonlinear equalizer for coherent optical communication system
inferredcites →https://doi.org/10.1364/oe.442351openalex-extracted
Transfer learning assisted convolutional neural networks for modulation format recognition in few-mode fibers
inferredcites →https://doi.org/10.1364/ol.394048openalex-extracted
Cascade recurrent neural network-assisted nonlinear equalization for a 100 Gb/s PAM4 short-reach direct detection system
inferredcites →https://doi.org/10.1364/ol.436366openalex-extracted
Secure transmission of W-band millimeter-wave based on CNN and dynamic resource allocation
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