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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

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.