An accurate PLL behavioral model for fast Monte Carlo analysis under process variation

Abstract

Hierarchical statistical analysis using the regression-based approach is often used to improve the extremely expensive HSPICE Monte Carlo (MC) analysis. However, accurately fitting the regression equations requires many simulation samples. In this paper, an accurate behavioral Monte Carlo simulation (BMCS) approach to analyze PLL designs under process… (More)
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@article{Kuo2007AnAP, title={An accurate PLL behavioral model for fast Monte Carlo analysis under process variation}, author={Chin-Cheng Kuo and Meng-Jung Lee and I-Ching Tsai and C.-N.J. Liu and Ching-Ji Huang}, journal={2007 IEEE International Behavioral Modeling and Simulation Workshop}, year={2007}, pages={110-114} }