Comparing fast convolution and model order reduction methods for S-parameter simulation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a comparison of the modelorder reduction and fast convolution techniques for the macromodel simulation. Model-order reduction techniques using the vector fitting method have been extensively employed. In parallel, convolution techniques using scattering parameters have demonstrated special properties that can be exploited by acceleration techniques to achieve superior performance. The comparison is performed using simulations for various blackbox data.

Original languageEnglish (US)
Title of host publicationEDAPS 2013 - 2013 IEEE Electrical Design of Advanced Packaging Systems Symposium
Pages134-137
Number of pages4
DOIs
StatePublished - Dec 1 2013
Event2013 6th IEEE Electrical Design of Advanced Packaging Systems Symposium, EDAPS 2013 - Nara, Japan
Duration: Dec 12 2013Dec 15 2013

Publication series

NameEDAPS 2013 - 2013 IEEE Electrical Design of Advanced Packaging Systems Symposium

Other

Other2013 6th IEEE Electrical Design of Advanced Packaging Systems Symposium, EDAPS 2013
CountryJapan
CityNara
Period12/12/1312/15/13

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Keywords

  • Blackbox
  • Causality
  • Convolution
  • Macromodel
  • Passivity
  • Scattering Parameters
  • Vector Fitting

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Schutt-Ainé, J. E., & Goh, P. (2013). Comparing fast convolution and model order reduction methods for S-parameter simulation. In EDAPS 2013 - 2013 IEEE Electrical Design of Advanced Packaging Systems Symposium (pp. 134-137). [6724407] (EDAPS 2013 - 2013 IEEE Electrical Design of Advanced Packaging Systems Symposium). https://doi.org/10.1109/EDAPS.2013.6724407