Reduced-order wide-band interconnect model realization using filter-based spline interpolation

Arthur Nieuwoudt, Mehboob Alam, Yehia Massoud

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

1 Scopus citations

Abstract

In the paper, we develop a systematic methodology for modeling sampled interconnect frequency response data based on spline interpolation. Through piecewise polynomial interpolation, we are able to avoid the numerical problems associated with global polynomial fitting and generate higher order systems to model simulated or measured wideband frequency response data. We reduce the complexity of the generated systems using a data point pruning algorithm and by applying model order reduction based on balanced truncation. The methodology provides substantially greater accuracy than global polynomial approximation while only having O(n) growth in model complexity. © 2007 IEEE.
Original languageEnglish (US)
Title of host publicationProceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC
Pages373-378
Number of pages6
DOIs
StatePublished - Dec 1 2007
Externally publishedYes

Bibliographical note

Generated from Scopus record by KAUST IRTS on 2022-09-13

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