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IEEE Transactions on Antennas and Propagation
Article . 2016 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
https://dx.doi.org/10.1109/tap...
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Statistical Variation in Post-Simulated Electromagnetic Fields

descriptionPublicationkeyboard_double_arrow_right Article 01 Dec 2016Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Transactions on Antennas and Propagation, volume 64, pages 5,320-5,325 (issn: 0018-926X, eissn: 1558-2221, Copyright policy )
Authors: Wayne Wah Ming Soo;

doi: 10.1109/tap.2016.2617360

Statistical Variation in Post-Simulated Electromagnetic Fields

Abstract

This paper presents an algorithm for estimating the variance in simulated electromagnetic fields arising from uncertainties in electrical parameters in a model. The proposed algorithm is shown to be faster and more accurate than the stochastic finite difference time domain method. The main advantage of the algorithm lies in how does not slow down the main simulation of electromagnetic fields, since it is only performed on demand after the main simulation is completed.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
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