Results 1 to 10 of about 10,164 (270)

OsnR is an autoregulatory negative transcription factor controlling redox-dependent stress responses in Corynebacterium glutamicum [PDF]

Microbial Cell Factories, 2021
Background Corynebacterium glutamicum is used in the industrial production of amino acids and nucleotides. During the course of fermentation, C. glutamicum cells face various stresses and employ multiple regulatory genes to cope with the oxidative stress.
Haeri Jeong, Younhee Kim, Heung-Shick Lee   +2 more
doaj   +3 more sources

Joint Fiber Nonlinear Noise Estimation, OSNR Estimation and Modulation Format Identification Based on Asynchronous Complex Histograms and Deep Learning for Digital Coherent Receivers. [PDF]

Sensors (Basel), 2021
In this paper, asynchronous complex histogram (ACH)-based multi-task artificial neural networks (MT-ANNs), are proposed to realize modulation format identification (MFI), optical signal-to-noise ratio (OSNR) estimation and fiber nonlinear (NL) noise ...
Yang S, Yang L, Luo F, Li B, Wang X, Du Y, Liu D.   +6 more
europepmc   +4 more sources

Going Deeper into OSNR Estimation with CNN [PDF]

Photonics, 2021
As optical performance monitoring (OPM) requires accurate and robust solutions to tackle the increasing dynamic and complicated optical network architectures, we experimentally demonstrate an end-to-end optical signal-to-noise (OSNR) estimation method based on the convolutional neural network (CNN), named OptInception.
Fangqi Shen, Jing Zhou, Zhiping Huang, Longqing Li   +3 more
openaire   +3 more sources

Transfer learning assisted deep neural network for OSNR estimation

Optics Express, 2019
We propose a transfer learning assisted deep neural network (DNN) method for optical-signal-to-noise ratio (OSNR) monitoring and realize fast remodel to response to various system parameters changing, e.g. optical launch power, residual chromatic dispersion (CD) and bit rate. By transferring the hyper-parameters of DNN at the initial stage, we can fast
Le, Xia, Jing, Zhang, Shaohua, Hu, Mingyue, Zhu, Yingxiong, Song, Kun, Qiu   +5 more
openaire   +3 more sources

Neural Network Training for OSNR Estimation From Prototype to Product [PDF]

Optical Fiber Communication Conference (OFC) 2020, 2020
A method for in-service OSNR measurement with a coherent transceiver is presented and experimentally verified. A neural network is employed to identify and remove the nonlinear noise contribution to the estimated OSNR.
Shiner, Andrew D., Mousa-Pasandi, Mohammad E., Qiu, Meng, Reimer, Michael A., Park, Eui Young, Hubbard, Michael, Zhuge, Qunbi, Caballero, Francisco J. Vaquero, O'Sullivan, Maurice   +8 more
openaire   +4 more sources

Extended Worst-Case OSNR Searching Algorithm for Optical Network-on-Chip Using a Semi-Greedy Heuristic With Adaptive Scan Range

IEEE Access, 2020
The advances in silicon photonics technology have facilitated the realization of optical network-on-chips (ONoCs) to cope with the physical limitations of metal interconnections in traditional CMOS integrated circuits.
Yong Wook Kim, Jae Hoon Lee, Tae Hee Han
doaj   +2 more sources

Joint Symbol Rate-Modulation Format Identification and OSNR Estimation Using Random Forest Based Ensemble Learning for Intermediate Nodes

IEEE Photonics Journal, 2021
In this paper, a novel joint symbol rate-modulation format identification (SR-MFI) and optical signal-to-noise ratio (OSNR) estimation scheme using the low-bandwidth coherent detecting and random forest (RF)-based ensemble learning is proposed for ...
Jia Chai, Xue Chen, Yan Zhao, Tao Yang, Danshi Wang, Sheping Shi   +5 more
doaj   +2 more sources

Joint and Accurate OSNR Estimation and Modulation Format Identification Scheme Using the Feature-Based ANN

IEEE Photonics Journal, 2019
A joint and accurate optical signal-to-noise ratio (OSNR) estimation and modulation formats identification (MFI) scheme based on the artificial neural network (ANN) is proposed and demonstrated via both simulation and the experiment system.
Qian Xiang, Yanfu Yang, Qun Zhang, Yong Yao   +3 more
doaj   +2 more sources

A modulation format recognition and optical signal-to-noise ratio monitoring scheme based on residual network and Taylor score pruning. [PDF]

PLoS ONE
Investigating practical methods for real-time monitoring of modulation formats (MF) and optical signal-to-noise ratio (OSNR) in coherent optical communication systems is critical for advancing future dynamic and heterogeneous optical networks.
Jinrong Liang, Yong Bao
doaj   +2 more sources

A Novel Cost-Effective and Distributed in-Band OSNR Monitoring Method Using Gaussian Process Regression

IEEE Photonics Journal, 2019
We propose and experimentally demonstrate a novel cost-effective and distributed in-band optical signal-to-noise ratio (OSNR) monitoring method using a widely tunable optical bandpass filter and optical power measurements, which employs the Gaussian ...
Chunjie Hu, Wei Li, Hao Zheng, Qiguang Feng, Qiang Zheng, You Wang   +5 more
doaj   +2 more sources