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Hyperbolic polynomial chaos expansion (HPCE) and its application to statistical analysis of nonlinear circuits

机译:双曲多项式混沌展开(HPCE)及其在非线性电路统计分析中的应用

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In this paper a novel improvement to the polynomial chaos (PC) approach for the uncertainty analysis of high speed circuits is presented. The key feature of this work is the development of an alternative hyperbolic truncation scheme to replace the conventional linear truncation scheme used in generation of PC expansions. This hyperbolic truncation scheme results in a sparse PC expansion for marginal loss of accuracy. The computational effort required to evaluate the coefficients of the resultant sparse expansion is only a small fraction of that required for full-blown PC expansions. A greedy adaptive methodology to determine the number of basis terms and evaluate the corresponding coefficients for the sparse expansion is also presented. This approach is validated on a nonlinear radio-frequency (RF) circuit against conventional full-blown PC methods.
机译:本文提出了一种新颖的改进,用于对高速电路的不确定性进行分析的多项式混沌(PC)方法。这项工作的关键特征是开发了一种替代性的双曲线截断方案,以替代用于生成PC扩展的常规线性截断方案。此双曲截断方案导致稀疏的PC扩展,从而导致精度的边际损失。评估所得的稀疏展开的系数所需的计算工作仅是成熟的PC展开所需的计算工作的一小部分。还提出了一种贪婪的自适应方法,用于确定基本项的数量并评估稀疏展开的相应系数。该方法已在非线性射频(RF)电路上针对传统的成熟PC方法进行了验证。

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