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Adaptive sampling applied to multivariate, multiple output rational interpolation models with application to microwave circuits
Author(s) -
Lehmensiek Robert,
Meyer Petrie,
Müller Martinette
Publication year - 2002
Publication title -
international journal of rf and microwave computer‐aided engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.335
H-Index - 39
eISSN - 1099-047X
pISSN - 1096-4290
DOI - 10.1002/mmce.10032
Subject(s) - interpolation (computer graphics) , sampling (signal processing) , multivariate statistics , rational function , microwave , set (abstract data type) , algorithm , adaptive sampling , function (biology) , computer science , mathematics , statistics , artificial intelligence , mathematical analysis , telecommunications , motion (physics) , detector , monte carlo method , evolutionary biology , biology , programming language
A fast and efficient adaptive sampling algorithm for multivariate, multiple output rational interpolation models is presented, which is based on convergents of Thiele type branched continued fractions. The multiple output interpolation model consists of a set of rational interpolants, and each interpolant models one of the output parameters. A single global error function is defined that incorporates all the output parameters, and it is used for the selection of the same set of support points for all the interpolants. The technique is evaluated on several passive microwave structures and compared to previously published results. © 2002 Wiley Periodicals, Inc. Int J RF and Microwave CAE 12: 332–340, 2002. Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mmce10032