D
David S. Ricketts
Researcher at North Carolina State University
Publications - 118
Citations - 1901
David S. Ricketts is an academic researcher from North Carolina State University. The author has contributed to research in topics: Amplifier & CMOS. The author has an hindex of 20, co-authored 116 publications receiving 1651 citations. Previous affiliations of David S. Ricketts include Durham University & Carnegie Mellon University.
Papers
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Nanotechnology: High-speed integrated nanowire circuits
TL;DR: The use of low-temperature processes to integrate high-performance multi-nanowire transistors into logical inverters and fast ring oscillators on glass substrates is presented, potentially enabling powerful electronics to permeate all aspects of modern life.
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Magnetic Field-Based Positioning Systems
Valter Pasku,Alessio De Angelis,Guido De Angelis,Darmindra D. Arumugam,Marco Dionigi,Paolo Carbone,Antonio Moschitta,David S. Ricketts +7 more
TL;DR: The main characteristics of different positioning systems are provided with focus on those solutions that are based on low-frequency magnetic fields, and results from the literature are analyzed and compared.
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Experimental demonstration of the equivalence of inductive and strongly coupled magnetic resonance wireless power transfer
TL;DR: In this paper, the authors demonstrate that for a given coil separation, and to within 4%, strongly coupled magnetic resonance and traditional induction produce the same theoretical efficiency of wireless power transfer versus distance.
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Electrical soliton oscillator
TL;DR: In this article, the authors introduce the first robust self-sustained electrical soliton oscillator, which is made possible by coupling a nonlinear transmission line with a unique amplifier that tames the instability-prone soliton dynamics.
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An Efficient, Watt-Level Microwave Rectifier Using an Impedance Compression Network (ICN) With Applications in Outphasing Energy Recovery Systems
Junfeng Xu,David S. Ricketts +1 more
TL;DR: A transmission line based impedance compression network is presented for application in RF-to-dc conversion and it is shown that the ICN is able to significantly compress the undesired input impedance variation that occurs when there is a large variation of input power.