Results 21 to 30 of about 712,718 (291)
Broadband rational modeling using Barycentric Vector Fitting [PDF]
2013 17th IEEE Workshop on Signal and Power Integrity, 2013 This paper demonstrates the use of a Barycentric Vector Fitting algorithm for the modeling of broadband frequency responses. This algorithm reduces the computation time of the pole-identification step by exploiting the specific form of the barycentric interpolation formula. Numerical results confirm that this approach can lead to significant savings in
Deschrijver, Dirk +2 more
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Energies, 2020 In this paper, an effective simulation method for lightning impulse voltage tests of reactor and transformer windings is presented. The method is started from the determination of the realized equivalent circuit of the considered winding in the wide ...
Piyapon Tuethong +2 more
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Algorithms, 2022 In this paper, we obtain the Complex Natural Resonances of an object from the backscattered response in the frequency domain with a novel rational function approximation method based on both Vector Fitting and Cauchy methods.
Andres Gallego +2 more
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Algorithms, 2022 Curve fitting discrete data (x, y) with a smooth function is a complex problem when faced with sharply oscillating data or when the data are very large in size.
Indrit Hoxha, Taoufik Meklachi
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Energies, 2023 This paper presents a novel three-phase transmission line model for electromagnetic transient simulations that are executed directly within the time domain.
Juan Paulo Robles Balestero +2 more
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Robust macromodeling of frequency responses with outliers [PDF]
, 2011 This paper introduces a robust Vector Fitting algorithm for macromodeling of measured of simulated frequency responses with outliers. The use of a new frequency-dependent weighting scheme ensures that the complex fitting error is minimized in the L1 ...
Deschrijver, Dirk +2 more
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Fitting a graph to vector data [PDF]
Proceedings of the 26th Annual International Conference on Machine Learning, 2009 We introduce a measure of how well a combinatorial graph fits a collection of vectors. The optimal graphs under this measure may be computed by solving convex quadratic programs and have many interesting properties. For vectors in d dimensional space, the graphs always have average degree at most 2(d + 1), and for vectors in 2 dimensions they are ...
Samuel I. Daitch +2 more
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Weighted Smooth Projection Twin Support Vector Regression Algorithm [PDF]
Jisuanji gongcheng, 2022 The existing Pair-shifted Projection Twin Support Vector Regression(PPTSVR) algorithm ignores the effects of samples at different locations on the hyperplane construction during the training process.If there are outliers in the samples, the fitting ...
XU Benye, GU Binjie, PAN Feng, XIONG Weili
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Forecast of Power Grid Investment Scale Based on Support Vector Machine [PDF]
E3S Web of Conferences, 2020 Economic transformation creates a new environment for grid investment. In the situation of high quality development, the traditional investment scale prediction model is no longer applicable.
Wang Yongli +5 more
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Residue-Pole Methods for Variability Analysis of S-parameters of Microwave Devices with 3D FEM and Mesh Deformation [PDF]
Radioengineering, 2020 This paper presents a new approach for variability analysis of microwave devices with a high dimension of uncertain parameters. The proposed technique is based on modeling an approximation of system by its poles and residues using several modeling ...
M. R. Rufuie +3 more
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