The Unscented Transform as a Tool to Assess Circuit Variability for Emergent Technologies

Autor:	Reinaldo G. Pimenta, Jose E. G. Medeiros, Stefan Blawid
Rok vydání:	2020
Předmět:	symbols.namesake Computer science Monte Carlo method symbols Sparse grid Gaussian quadrature Point (geometry) Unscented transform Random variable Algorithm Computer Science::Information Theory Exponential function Electronic circuit
Zdroj:	ISCAS
DOI:	10.1109/iscas45731.2020.9181094
Popis:	The unscented transform (UT) is proposed as an alternative to the Monte Carlo (MC) method for assessing performance variability of electronic circuits based on emergent technologies. We show that the discrete UT approximation of a continuous probability distribution of random variables can be solved by Gaussian quadrature. As an application example, we compare UT and MC yield predictions for CNTFET current-mode-logic ring oscillators. We discuss the exponential nature of our first implementation and point to the use of sparse grids and symmetry analysis as means to optimize the technique.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d503a9d7598bd4c9469b07e5dfe587d2 https://doi.org/10.1109/iscas45731.2020.9181094 Zobrazit plný text záznamu