Publication
Title
Single-input-single-output passive macromodeling via Positive Fractions Vector Fitting
Author
Abstract
This paper introduces a constrained Vector Fitting algorithm which can directly identify a passive driving point function (impedance or admittance) from frequency domain data. The proposed Positive Fractions Vector Fitting (PFVF) algorithm formulates the residue identification step as a convex programming problem, while the pole identification step follows the unaltered standard Vector Fitting procedure. A further extension to multi-input-multi-output functions is possible and is under investigation.
Language
English
Source (book)
Proceedings of the 12th IEEE Workshop on Signal Propagation on Interconnects, May 12-15, 2008, Avignon, France
Publication
New York, N.Y. : IEEE, 2008
ISBN
978-1-4244-2317-0
Volume/pages
p. 183-184
ISI
000258904100045
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 28.05.2009
Last edited 12.11.2017
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