Adaptive inverse quadratics interpolation with applications to Vector Fitting and the Hankel transform of spectral domain Green's functions

被引：0
|
作者：
Knockaert, L. [1 ]
De Zutter, D. [1 ]
机构：
[1] Univ Ghent, Dept Informat Technol, B-9000 Ghent, Belgium
来源：
2007 AFRICON, VOLS 1-3 | 2007年
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D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this contribution we discuss the translation-invariant interpolation of univariate functions by means of inverse quadratics radial basis functions. For the implementation we use an adaptive interpolation process which is a variant of a recently introduced adaptive residual subsampling method. It is shown that the interpolation process with the inverse quadratics kernel also provides an excellent pre-processing interface when used in conjunction with the popular Vector Fitting algorithm. This results in a composite algorithm, performing the sampling and modelling of the given function in a fully automatic way. It also provides a platform for calculating the Hankel transform of spectral domain Green's functions.
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页码：29 / 32
页数：4
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