Title | ||
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Reduced-Order Wide-Band Interconnect Model Realization using Filter-Based Spline Interpolation |
Abstract | ||
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In the paper, we develop a systematic methodology formodeling 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 sub-stantially greater accuracy than global polynomial approximation while only having O(n) growth in model complexity. |
Year | DOI | Venue |
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2007 | 10.1109/ASPDAC.2007.358014 | ASP-DAC |
Keywords | Field | DocType |
filter-based spline interpolation,frequency response data,piecewise polynomial interpolation,global polynomial approximation,model order reduction,data point pruning algorithm,higher order system,spline interpolation,global polynomial fitting,wideband frequency response data,model complexity,reduced-order wide-band interconnect model,circuit complexity,frequency response,higher order,interpolation | Chebyshev nodes,Nearest-neighbor interpolation,Mathematical optimization,Interpolation (computer graphics),Multivariate interpolation,Spline interpolation,Polynomial interpolation,Computer science,Interpolation,Algorithm,Electronic engineering,Linear interpolation | Conference |
ISSN | ISBN | Citations |
2153-6961 | 1-4244-0629-3 | 0 |
PageRank | References | Authors |
0.34 | 11 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Arthur Nieuwoudt | 1 | 207 | 20.59 |
Mehboob Alam | 2 | 31 | 4.22 |
Yehia Massoud | 3 | 772 | 113.05 |