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
Link To Document :
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