Monte Carlo-alternative probabilistic simulations for analog systems

R. Topaloglu
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引用次数: 5

Abstract

Probabilistic system simulations for analog circuits have traditionally been handled with Monte Carlo analysis. For a manufacturable design, fast and accurate simulations are necessary for time-to-market, design for manufacturability and yield concerns. In this paper, a fast and accurate probabilistic simulation alternative is proposed targeting the simulation of analog systems. The proposed method shows high accuracy for performance estimation combined with a 100-fold reduction in run-time with respect to a 1000-sample Monte Carlo analysis
模拟系统的蒙特卡罗替代概率模拟
传统上,模拟电路的概率系统仿真是用蒙特卡罗分析来处理的。对于可制造的设计,快速和准确的模拟对于上市时间,可制造性设计和良率问题是必要的。本文针对模拟系统的仿真问题,提出了一种快速准确的概率仿真方案。所提出的方法具有较高的性能估计精度,并且与1000个样本的蒙特卡罗分析相比,运行时间减少了100倍
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