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Impact of sampling domain and number of samples on the accuracy of large-signal multisine measurement-based behavioral model

✍ Scribed by Maciej Myslinski; Dominique Schreurs; Bart Nauwelaers

Publisher
John Wiley and Sons
Year
2010
Tongue
English
Weight
688 KB
Volume
20
Category
Article
ISSN
1096-4290

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✦ Synopsis

This article evaluates two alternative ways to execute the sampling of modulated data for large-signal behavioral modeling. We show that the nonlinear metric domain uniform sampling outperforms the time-domain uniform approach, and examine how the level of improvement depends on the number of samples used for model generation.

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