Impact of Sampling Domain and Number of Samples on the Accuracy of Large-Signal Multisine Measurement-Based Behavioral Model
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. (C) 2010 Wiley Periodicals. Inc. Int J RF and Microwave CAE 20: 374-381, 2010.
sampling behavioral modeling large-signal measurements multisine data reduction