|
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
| |
|