L
Lin Jiang
Researcher at University of Liverpool
Publications - 465
Citations - 14528
Lin Jiang is an academic researcher from University of Liverpool. The author has contributed to research in topics: Electric power system & Computer science. The author has an hindex of 50, co-authored 389 publications receiving 10061 citations. Previous affiliations of Lin Jiang include University of Sheffield & Xiamen University.
Papers
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Proceedings ArticleDOI
Convolutional Neural Network Equalizer for Short-reach Optical Communication Systems
TL;DR: A novel convolutional neural network equalizer has been proposed and demonstrated for eliminating linear and nonlinear distortions and the BER performance of 64-Gbit/s PAM4 signal over 137-km SSMF can be achieved below 7%FEC threshold.
Journal ArticleDOI
Separation of hydrophobic organic compound from surfactant solutions with activated carbon in a fixed bed
TL;DR: The adsorption behavior of phenanthrene (PHE) in Triton X-100 (TX100) solutions with fixed activated carbon (AC) bed was studied to recover the surfactant and it is likely that the Adsorption process is controlled by hydrophobic interaction.
Intelligent Optical Performance Monitoring Based on Intensity and Differential-Phase Features for Digital Coherent Receivers
TL;DR: In this article , an intelligent optical performance monitoring scheme for simultaneous modulation format identification (MFI) and optical signal-to-noise ratio (OSNR) monitoring is proposed and experimentally demonstrated in digital coherent receivers.
Proceedings ArticleDOI
Analysis of market flow calculation using different logics
Cheng Luo,Lin Jiang,Qin Wang +2 more
TL;DR: The mathematical proof is given to demonstrate the impact of logic changes on the market flow and loop flow as well as the numerical results on a 23-bus system.
Proceedings ArticleDOI
MRAS based speed sensorless indirect vector control of induction motor drive for electric vehicles
TL;DR: Investigation of the performance of speed sensorless indirect vector control of IM traction drive and tracking accuracy of speed estimator employed on different driving profiles of EVs such as accelerating, constant speed and decelerating mode etc shows satisfactory performance.