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Well-conditioned adaptive interpolation by a gaussian-modulated pole kernel with applications to vector fitting

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2 Author(s)
Knockaert, L. ; Dept. Inf. Technol., Ghent Univ., Ghent ; de Zutter, D.

In this contribution we discuss the translation-invariant interpolation of frequency domain functions by means of a well-conditioned Gaussian-modulated pole kernel which generates exclusively stable poles. 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 Gaussian-modulated pole 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 frequency function in a fully automatic way.

Published in:

Signal Propagation on Interconnects, 2007. SPI 2007. IEEE Workshop on

Date of Conference:

13-16 May 2007

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