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 …
Machine learning applications for short reach optical communication
With the rapid development of optical communication systems, more advanced techniques
conventionally used in long-haul transmissions have gradually entered systems covering …
conventionally used in long-haul transmissions have gradually entered systems covering …
Single-channel 1.61 Tb/s optical coherent transmission enabled by neural network-based digital pre-distortion
We propose a novel digital pre-distortion (DPD) based on neural networks for high-baudrate
optical coherent transmitters. We demonstrate experimentally that it outperforms an …
optical coherent transmitters. We demonstrate experimentally that it outperforms an …
Deep neural network-based digital pre-distortion for high baudrate optical coherent transmission
High-symbol-rate coherentoptical transceivers suffer more from the critical responses of
transceiver components at high frequency, especially when applying a higher order …
transceiver components at high frequency, especially when applying a higher order …
Periodicity-enabled size reduction of symbol based predistortion for high-order QAM
We experimentally demonstrate a novel size reduction approach for symbol-based look-up
table (LUT) digital predistortion (DPD) of the transmitter impairments taking advantage of the …
table (LUT) digital predistortion (DPD) of the transmitter impairments taking advantage of the …
End-to-end learning for VCSEL-based optical interconnects: State-of-the-art, challenges, and opportunities
Optical interconnects (OIs) based on vertical-cavity surface-emitting lasers (VCSELs) are the
main workhorse within data centers, supercomputers, and even vehicles, providing low-cost …
main workhorse within data centers, supercomputers, and even vehicles, providing low-cost …
Wiener-Hammerstein model and its learning for nonlinear digital pre-distortion of optical transmitters
T Sasai, M Nakamura, E Yamazaki, A Matsushita… - Optics …, 2020 - opg.optica.org
We present a simple nonlinear digital pre-distortion (DPD) of optical transmitter components,
which consists of concatenated blocks of a finite impulse response (FIR) filter, a memoryless …
which consists of concatenated blocks of a finite impulse response (FIR) filter, a memoryless …
Bayesian optimization for nonlinear system identification and pre-distortion in cognitive transmitters
M Sena, MS Erkilinc, T Dippon, B Shariati… - Journal of Lightwave …, 2021 - opg.optica.org
We present a digital signal processing (DSP) scheme that performs hyperparameter tuning
(HT) via Bayesian optimization (BO) to autonomously optimize memory tap distribution of …
(HT) via Bayesian optimization (BO) to autonomously optimize memory tap distribution of …
End-to-end autoencoder for superchannel transceivers with hardware impairment
End-to-end Autoencoder for Superchannel Transceivers with Hardware Impairment Page 1
End-to-end Autoencoder for Superchannel Transceivers with Hardware Impairment Jinxiang …
End-to-end Autoencoder for Superchannel Transceivers with Hardware Impairment Jinxiang …
54.5 Tb/s WDM transmission over field deployed fiber enabled by neural network-based digital pre-distortion
54.5 Tb/s WDM Transmission over Field Deployed Fiber Enabled by Neural Network-Based
Digital Pre-Distortion Page 1 54.5 Tb/s WDM Transmission over Field Deployed Fiber Enabled …
Digital Pre-Distortion Page 1 54.5 Tb/s WDM Transmission over Field Deployed Fiber Enabled …