TY - GEN
T1 - Efficient macromodeling for systems characterized by sampled data
AU - Gao, Rong
AU - Meknonen, Yidnekachew S.
AU - Beyene, Wendemagegnehu T.
AU - Schutt-Ainé, José
PY - 2005
Y1 - 2005
N2 - 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.
AB - 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.
KW - Orthogonal polynomials
KW - Passivity
KW - Rational approximation
UR - http://www.scopus.com/inward/record.url?scp=33744976820&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33744976820&partnerID=8YFLogxK
U2 - 10.1109/WCACEM.2005.1469650
DO - 10.1109/WCACEM.2005.1469650
M3 - Conference contribution
AN - SCOPUS:33744976820
SN - 0780390687
SN - 9780780390683
T3 - 2005 IEEE/ACES International Conference on Wireless Communications and Applied Computational Electromagnetics
SP - 565
EP - 568
BT - 2005 IEEE/ACES International Conference on Wireless Communications and Applied Computational Electromagnetics
PB - IEEE Computer Society
T2 - 2005 IEEE/ACES International Conference on Wireless Communications and Applied Computational Electromagnetics
Y2 - 3 April 2005 through 7 April 2005
ER -