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Anestis Dounavis

Researcher at University of Western Ontario

Publications -  94
Citations -  1359

Anestis Dounavis is an academic researcher from University of Western Ontario. The author has contributed to research in topics: Transmission line & Model order reduction. The author has an hindex of 19, co-authored 91 publications receiving 1291 citations. Previous affiliations of Anestis Dounavis include Carleton University.

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DEPACT: delay extraction-based passive compact transmission-line macromodeling algorithm

TL;DR: In this article, the authors proposed a new algorithm for passive and compact macromodeling of distributed transmission lines, which employs delay extraction prior to approximating the exponential stamp to generate compact Macromodels, while ensuring the passivity.
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A general class of passive macromodels for lossy multiconductor transmission lines

TL;DR: A proof is given showing that the currently existing passive matrix-rational approximation of exponential functions is a subclass of the generic approach presented, which can be easily incorporated with recently developed passive model-reduction techniques.
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Efficient passive circuit models for distributed networks with frequency-dependent parameters

TL;DR: In this paper, the authors present an efficient method for the analysis of multiconductor transmission lines with frequency-dependent parameters, which is suitable for inclusion in general purpose circuit simulators and overcomes the difficulty of mixed frequency/time simulation encountered during transient analysis.
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Passive closed-form transmission-line model for general-purpose circuit simulators

TL;DR: A passive closed-form model for multiconductor lossy transmission line analysis that is suitable for inclusion in general-purpose circuit simulators and overcomes the mixed frequency/time simulation difficulties encountered during the transient analysis.
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A comparative study of two transient analysis algorithms for lossy transmission lines with frequency-dependent data

TL;DR: Two general algorithms for the modeling of lossy transmission lines with frequency-dependent parameters are contrasted and computational evidence is presented to show that these two methods complement rather than compete with each other.