DocumentCode
3550239
Title
Efficient macromodeling for systems characterized by sampled data
Author
Gao, Rong ; Meknonen, Yidnekachew S. ; Beyene, Wendemagegnehu T. ; Schutt-Ainé, José
Author_Institution
Illinois Univ., Urbana, IL, USA
fYear
2005
fDate
3-7 April 2005
Firstpage
565
Lastpage
568
Abstract
In this paper, a rational interpolation approach is used to approximate systems characterized by sampled data. The three most common orthogonal polynomials, Legendre, Chebyshev of the first and second kinds are used to improve the numerical stability of the interpolation matrix. The poles and the residues are solved in such a way that they are guaranteed to be either real or in complex conjugate pairs.
Keywords
Chebyshev approximation; Legendre polynomials; frequency-domain analysis; numerical stability; poles and zeros; transfer function matrices; Chebyshev polynomials; Legendre polynomials; complex conjugate pairs; interpolation matrix; numerical stability; orthogonal polynomials; poles; rational interpolation approach; sampled data; system macromodeling; Chebyshev approximation; Circuit simulation; Equations; Frequency domain analysis; Frequency measurement; Function approximation; Interpolation; Polynomials; Semiconductor device measurement; Transfer functions;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications and Applied Computational Electromagnetics, 2005. IEEE/ACES International Conference on
Print_ISBN
0-7803-9068-7
Type
conf
DOI
10.1109/WCACEM.2005.1469650
Filename
1469650
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