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J Jianming Zeng

Researcher at Eindhoven University of Technology

Publications -  19
Citations -  164

J Jianming Zeng is an academic researcher from Eindhoven University of Technology. The author has contributed to research in topics: Multi-mode optical fiber & Optical fiber. The author has an hindex of 5, co-authored 18 publications receiving 157 citations.

Papers
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Proceedings Article

24-Gb/s Transmission over 730 m of Multimode Fiber by Direct Modulation of an 850-nm VCSEL Using Discrete Multi-Tone Modulation

TL;DR: Using discrete multi-tone modulation with up to 64-QAM mapping, 24-Gb/s transmission was experimentally demonstrated over 730 m of MMF by direct modulation of an 850-nm VCSEL and direct detection with a MMF receiver as mentioned in this paper.

POF application in home systems and local systems

TL;DR: Two techniques for implementing a multi-service POF network will be discussed: adaptive subcarrier multiplexing which creates a number of independent frequency channels, and optical frequency multiplying which enables delivery of microwave wireless signals to simplified antenna sites over multimode POF.
Proceedings ArticleDOI

10.7 Gbit/s Transmission over 220 m Polymer Optical Fiber using Maximum Likelihood Sequence Estimation

TL;DR: In this article, 10.7 Gbit/s NRZ-signals are transmitted over 220 m of multimode 120 mum core-diameter perfluorinated graded-index polymer optical fiber using an MLSE equalizer.
Proceedings ArticleDOI

Transmission of 1.25 Gb/s per channel over 4.4 km silica multimode fibre using QAM subcarrier multiplexing

TL;DR: By applying 16-, 32-and 64-QAM subcarrier modulation, 1.25 Gb/s transmission per channel via a 4.4 km silica multimode fiber was experimentally demonstrated.
Journal ArticleDOI

Wind-photovoltaic co-generation prediction and energy scheduling of low-carbon complex regional integrated energy system with hydrogen industry chain based on copula-MILP

TL;DR: In this paper , the authors integrated the hydrogen industry chain, carbon capture and storage (CCS) into a regional integrated energy system and proposed an energy scheduling model for optimizing CRIES operation considering wind and photovoltaic co-generation uncertainties.