An identification technique for macromodeling of long interconnects

M. De Magistris; L. De Tommasi

doi:10.1109/SPI.2005.1500940

An identification technique for macromodeling of long interconnects

M. De Magistris
, L. De Tommasi

University of Naples Federico II

Research output: Chapter in Book/Report/Conference proceedings › Chapter › peer-review

Abstract

We consider the problem of the identification of describing functions for the reduced time domain modeling of interconnects. In particular we identify the rational approximation of regular parts, once delays are exactly extracted, with a combination of Vector Fitting algorithm with a post-processing procedure based on a Non Linear Least Square refinement step. This improves the accuracy of the approximation obtained, and leads directly to rank-1 residue matrices. The technique is applied to a couple of test cases and a comparative evaluation of performances is carried out.

Original language	English
Title of host publication	Proceedings - 9th IEEE Workshop on Signal Propagation on Interconnects, SPI 2005
Pages	185-188
Number of pages	4
DOIs	https://doi.org/10.1109/SPI.2005.1500940
Publication status	Published - 2005
Externally published	Yes
Event	9th IEEE Workshop on Signal Propagation on Interconnects, SPI 2005 - Garmisch-Partenkirchen, Germany Duration: 10 May 2005 → 13 May 2005

Publication series

Name	Proceedings - 9th IEEE Workshop on Signal Propagation on Interconnects, SPI 2005
Volume	2005

Conference

Conference	9th IEEE Workshop on Signal Propagation on Interconnects, SPI 2005
Country/Territory	Germany
City	Garmisch-Partenkirchen
Period	10/05/05 → 13/05/05

Access to Document

10.1109/SPI.2005.1500940

Cite this

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title = "An identification technique for macromodeling of long interconnects",

abstract = "We consider the problem of the identification of describing functions for the reduced time domain modeling of interconnects. In particular we identify the rational approximation of regular parts, once delays are exactly extracted, with a combination of Vector Fitting algorithm with a post-processing procedure based on a Non Linear Least Square refinement step. This improves the accuracy of the approximation obtained, and leads directly to rank-1 residue matrices. The technique is applied to a couple of test cases and a comparative evaluation of performances is carried out.",

author = "\{De Magistris\}, M. and \{De Tommasi\}, L.",

year = "2005",

doi = "10.1109/SPI.2005.1500940",

language = "English",

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series = "Proceedings - 9th IEEE Workshop on Signal Propagation on Interconnects, SPI 2005",

pages = "185--188",

booktitle = "Proceedings - 9th IEEE Workshop on Signal Propagation on Interconnects, SPI 2005",

note = "9th IEEE Workshop on Signal Propagation on Interconnects, SPI 2005 ; Conference date: 10-05-2005 Through 13-05-2005",

}

De Magistris, M & De Tommasi, L 2005, An identification technique for macromodeling of long interconnects. in Proceedings - 9th IEEE Workshop on Signal Propagation on Interconnects, SPI 2005., 1500940, Proceedings - 9th IEEE Workshop on Signal Propagation on Interconnects, SPI 2005, vol. 2005, pp. 185-188, 9th IEEE Workshop on Signal Propagation on Interconnects, SPI 2005, Garmisch-Partenkirchen, Germany, 10/05/05. https://doi.org/10.1109/SPI.2005.1500940

An identification technique for macromodeling of long interconnects. / De Magistris, M.; De Tommasi, L.
Proceedings - 9th IEEE Workshop on Signal Propagation on Interconnects, SPI 2005. 2005. p. 185-188 1500940 (Proceedings - 9th IEEE Workshop on Signal Propagation on Interconnects, SPI 2005; Vol. 2005).

Research output: Chapter in Book/Report/Conference proceedings › Chapter › peer-review

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AU - De Tommasi, L.

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T2 - 9th IEEE Workshop on Signal Propagation on Interconnects, SPI 2005

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ER -

An identification technique for macromodeling of long interconnects

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