M
Marc A. Eberhard
Researcher at Aston University
Publications - 27
Citations - 263
Marc A. Eberhard is an academic researcher from Aston University. The author has contributed to research in topics: Mach–Zehnder interferometer & Dispersion (optics). The author has an hindex of 6, co-authored 27 publications receiving 253 citations. Previous affiliations of Marc A. Eberhard include Technische Universität München.
Papers
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Hopping transport on a fractal: ac conductivity of porous silicon.
TL;DR: The frequency dependence of the conductivity and the dielectric constant of various samples of porous Si in the regime 1 Hz-100 kHz at different temperatures is measured, in terms of activated hopping in a fractal network.
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Adaptive Sending Rate Over Wireless Mesh Networks Using SNR
TL;DR: A scheme to improve channel conditions by performing rate adaptation along with multiple packet transmission using packet loss and physical layer condition and the use of such techniques in a WMN can significantly improve performance in terms of the packet sending rate is proposed.
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Soliton's eigenvalue based analysis on the generation mechanism of rogue wave phenomenon in optical fibers exhibiting weak third order dispersion.
TL;DR: The eigenvalues of the associated equation of nonlinear Schrödinger equation are almost constant in the vicinity of rogue wave and it is validated that optical rogue waves are formed by the collision between quasi-solitons in anomalous dispersion fiber exhibiting weak third order dispersion.
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Rogue wave generation by inelastic quasi-soliton collisions in optical fibres
TL;DR: In this article, a simple cascade mechanism that drives the formation and emergence of rogue waves in the generalized non-linear Schrodinger equation with third-order dispersion is presented.
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Implementing an adaptive TCP fairness while exploiting 802.11e over wireless mesh networks
TL;DR: Simulation results show that the proposed techniques provide even throughput by providing TCP fairness as the number of hops increases over a wireless mesh network (WMN) and the proposed TCP algorithm is the detection of congestion.