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Alwyn J. Seeds
Researcher at University College London
Publications - 466
Citations - 12674
Alwyn J. Seeds is an academic researcher from University College London. The author has contributed to research in topics: Laser & Photonics. The author has an hindex of 50, co-authored 454 publications receiving 11208 citations. Previous affiliations of Alwyn J. Seeds include Alcan & Queen Mary University of London.
Papers
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Proceedings Article
Normal-incidence 1.56- mu m MQW asymmetric Fabry-Perot modulator (AFPM) for passive picocells
Chin-Pang Liu,Alwyn J. Seeds,JS Chadha,Paul N. Stavrinou,Glenn Parry,M. Whitehead,Andrey B. Krysa,J.S. Roberts +7 more
TL;DR: In this paper, the authors have fabricated air-bridged modulators with bandwidths exceeding 10 GHz, the highest yet reported for InGaAsP/InGaAsp MQW AFPMs.
Proceedings ArticleDOI
110 GHz opto-electronic frequency synthesiser using optical comb generator and uni-travelling-carrier photodiode
TL;DR: Using optical comb generation, SG-DBR laser comb line selection and uni-travelling-carrier photodiode, opto-electronic generation of 10 GHz to 110 GHz, -80 dBc/Hz SSB phase noise millimetre wave signals at powers up to 2 mW is demonstrated using no electrical amplification.
Proceedings ArticleDOI
Radio over fibre systems
TL;DR: This tutorial will present the technologies used for radio over fibre systems, used to provide coverage for cellular radio and other wireless services in areas where direct reception is ineffective, such as within large buildings or underground.
Proceedings ArticleDOI
Experimental investigation of phase noise tolerance of SSB THz signals
Luis Gonzalez Guerrero,Haymen Shams,Martyn J. Fice,Alwyn J. Seeds,Cyril C. Renaud,Irshaad Fatadin,Mira Naftaly,Frederic van Dijk +7 more
TL;DR: In this article, the impact of laser phase noise on the quality of the THz signal was investigated by digitally tuning the linewidth of the optical local oscillator up to 10 MHz.
RF-ID tag location using RF-over-fibre techniques
TL;DR: In this paper, a high-resolution, indoor location technique based on RF-over-fibre is presented for monitoring a high density of people and/or objects in such a situation.