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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/16716
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dc.contributor.authorTalukder Md.A.H.-
dc.contributor.authorKabir M.-
dc.contributor.authorRoy S.-
dc.contributor.authorKhazaka R.-
dc.date.accessioned2020-12-02T14:17:33Z-
dc.date.available2020-12-02T14:17:33Z-
dc.date.issued2014-
dc.identifier.citationProceedings of 2014 18th IEEE Workshop on Signal and Power Integrity, SPI 2014, (2014). Ghent-
dc.identifier.isbn9.78E+12-
dc.identifier.urihttps://doi.org/10.1109/SaPIW.2014.6844544-
dc.identifier.urihttp://repository.iitr.ac.in/handle/123456789/16716-
dc.description.abstractStochastic distributed networks can be characterized in the frequency-domain by augmented multiport Y-parameter sampled data based on a stochastic Galerkin's formulation of the network equations. In this paper, a Loewner Matrix approach towards generating time-domain macromodels from the augmented multiport data is proposed. The key benefit of this work is that the superior scaling of the computational complexity of the Loewner Matrix approach with respect to number of network ports is utilized to generate the macromodel much more efficiently than the traditional Vector Fitting approach. The advantage of the proposed approach is validated by a numerical example. © 2014 IEEE.-
dc.description.sponsorshipAgilent Technologies;ANSYS;et al.;FCI;IEEE CPMT and EMC Societies;iMinds-
dc.language.isoen_US-
dc.publisherIEEE Computer Society-
dc.relation.ispartofProceedings of 2014 18th IEEE Workshop on Signal and Power Integrity, SPI 2014-
dc.subjectCurve fitting-
dc.subjectFrequency-domain data-
dc.subjectLoewner Matrices-
dc.subjectMacromodeling-
dc.subjectStochastic analysis-
dc.titleEfficient generation of macromodels via the loewner matrix approach for the stochastic analysis of high-speed passive distributed networks-
dc.typeConference Paper-
dc.scopusid54943685900-
dc.scopusid35302397300-
dc.scopusid55364099700-
dc.scopusid6603384588-
dc.affiliationTalukder, Md.A.H., Department of Electrical and Computer Engineering, McGill University, Montréal, QC H3A 0E9, Canada-
dc.affiliationKabir, M., Department of Electrical and Computer Engineering, McGill University, Montréal, QC H3A 0E9, Canada-
dc.affiliationRoy, S., Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, CO 80523, United States-
dc.affiliationKhazaka, R., Department of Electrical and Computer Engineering, McGill University, Montréal, QC H3A 0E9, Canada-
dc.identifier.conferencedetails18th IEEE Workshop on Signal and Power Integrity, SPI 2014, Ghent, 11-14 May 2014-
Appears in Collections:Conference Publications [ECE]

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