Abstract—This letter presents a generalization of the mul-tivariate Vector Fitting technique that includes parameter derivatives in the macromodeling process. The computational cost to simulate partial derivatives in terms of the parameters is often substantially lower than the simulation cost of additional data samples. An example shows that the inclusion of derivatives can be useful to reduce the required amount of data samples, while preserving the accuracy of the results. Index Terms—Least-squares, parametric macromodels, rational functions, surface approximation, vector fitting. I
This paper introduces a new scheme for the identification of multivariate behavioral maeromodels fro...
Abstract — Relaxed Vector Fitting is known to be a reliable tool for the macromodeling of noisy freq...
Abstract—Common-pole modeling of frequency responses can be time consuming for systems with highly r...
This letter presents a generalization of the multivariate Vector Fitting technique that includes par...
The paper introduces an approach for rational macromodeling based on magnitude frequency data. This ...
A novel least-squares fitting technique is presented for the macromodeling of parameterized frequenc...
Abstract—Rational fitting techniques are often used for the macromodeling of linear systems from tab...
Rational fitting techniques are often used for the macromodeling of linear systems from tabulated S-...
A robust approach for parametric macromodeling of tabulated frequency responses is presented. An exi...
A novel hybrid technique for the macromodelling of parameterised frequency responses is presented. A...
The calculation of broadband macromodels from large tabulated frequency responses can be computation...
An accurate parametric macromodeling method which builds the parameterized frequency behavior of sys...
Vector Fitting is a rational approximation technique, which is frequently used to calculate accurate...
This paper shows that accurate parametric macromodels can be computed from transient port responses ...
This paper presents a robust technique for the macromodeling of time-domain and frequency-domain res...
This paper introduces a new scheme for the identification of multivariate behavioral maeromodels fro...
Abstract — Relaxed Vector Fitting is known to be a reliable tool for the macromodeling of noisy freq...
Abstract—Common-pole modeling of frequency responses can be time consuming for systems with highly r...
This letter presents a generalization of the multivariate Vector Fitting technique that includes par...
The paper introduces an approach for rational macromodeling based on magnitude frequency data. This ...
A novel least-squares fitting technique is presented for the macromodeling of parameterized frequenc...
Abstract—Rational fitting techniques are often used for the macromodeling of linear systems from tab...
Rational fitting techniques are often used for the macromodeling of linear systems from tabulated S-...
A robust approach for parametric macromodeling of tabulated frequency responses is presented. An exi...
A novel hybrid technique for the macromodelling of parameterised frequency responses is presented. A...
The calculation of broadband macromodels from large tabulated frequency responses can be computation...
An accurate parametric macromodeling method which builds the parameterized frequency behavior of sys...
Vector Fitting is a rational approximation technique, which is frequently used to calculate accurate...
This paper shows that accurate parametric macromodels can be computed from transient port responses ...
This paper presents a robust technique for the macromodeling of time-domain and frequency-domain res...
This paper introduces a new scheme for the identification of multivariate behavioral maeromodels fro...
Abstract — Relaxed Vector Fitting is known to be a reliable tool for the macromodeling of noisy freq...
Abstract—Common-pole modeling of frequency responses can be time consuming for systems with highly r...