Add to ORKGA rational interpolation method for approximating a frequency response is presented. The method is based on a product formulation of finite differences, thereby avoiding the numerical problems incurred by near-equal-valued subtraction. Also, resonant pole and zero cancellation schemes are developed that increase the accuracy and efficiency of the interpolation method. Selection techniques of interpolation points are also discussed
summary:Numerical operations on and among rational matrices are traditionally handled by direct mani...
This work is concerned with the kernel-based approximation of a complex-valued function from data, w...
The Arnoldi and Lanczos algorithms, which belong to the class of Krylov sub-space methods, are incre...
The paper presents an interpolation method that can be used for implementing any sampling rate conve...
In this letter, construction of analytic functions from evaluations of real or imaginary parts on fi...
This work is concerned with the kernel-based approximation of a complex-valued function from data, w...
We present several new, efficient algorithms that extract low complexity models from frequency respo...
A review of the relationship between the frequency response function of linear system and the DFT of...
In the field of model order reduction for frequency response problems, the minimal rational interpol...
In the field of model order reduction for frequency response problems, the minimal rational interpol...
Given a system\u27s time response, y(t), to a unit impulse, a method is presented by which an approx...
A method for identifying a transfer function, H(z) = A(z)/B(z), from its frequency response values i...
We present new methodologies to generate rational function approximations of broadband electromagnet...
AbstractFunctions with poles occur in many branches of applied mathematics which involve resonance p...
We present a technique for Model Order Reduction (MOR) of frequency-domain problems relying on ratio...
summary:Numerical operations on and among rational matrices are traditionally handled by direct mani...
This work is concerned with the kernel-based approximation of a complex-valued function from data, w...
The Arnoldi and Lanczos algorithms, which belong to the class of Krylov sub-space methods, are incre...
The paper presents an interpolation method that can be used for implementing any sampling rate conve...
In this letter, construction of analytic functions from evaluations of real or imaginary parts on fi...
This work is concerned with the kernel-based approximation of a complex-valued function from data, w...
We present several new, efficient algorithms that extract low complexity models from frequency respo...
A review of the relationship between the frequency response function of linear system and the DFT of...
In the field of model order reduction for frequency response problems, the minimal rational interpol...
In the field of model order reduction for frequency response problems, the minimal rational interpol...
Given a system\u27s time response, y(t), to a unit impulse, a method is presented by which an approx...
A method for identifying a transfer function, H(z) = A(z)/B(z), from its frequency response values i...
We present new methodologies to generate rational function approximations of broadband electromagnet...
AbstractFunctions with poles occur in many branches of applied mathematics which involve resonance p...
We present a technique for Model Order Reduction (MOR) of frequency-domain problems relying on ratio...
summary:Numerical operations on and among rational matrices are traditionally handled by direct mani...
This work is concerned with the kernel-based approximation of a complex-valued function from data, w...
The Arnoldi and Lanczos algorithms, which belong to the class of Krylov sub-space methods, are incre...