![]() ![]() Finally, a numerical and a CMOS clock driver circuit example are given. Theoretical and practical aspects of its statistical properties are alsogiven. In this paper a variant ofthe Latin Hypercube Sampling MC method is presented which is an efficient variance reductiontechnique in MC estimation. 1, April 1999.- 1 -Modified Latin Hypercube Sampling Monte Carlo(MLHSMC) Estimation for Average Quality IndexMansour Keramat1 and Richard Kielbasa21 Department of Electrical Engineering, Texas A&M University,College Station, Texas 77843-31282 Ecole Supérieure d'Electricité (SUPELEC), Service des Mesures,Plateau de Moulon, F-91192 Gif-sur-Yvette Cedex FranceAbstractThe Monte Carlo (MC) method exhibits generality and insensitivity to the number ofstochastic variables, but it is expensive for accurate Average Quality Index (AQI) or ParametricYield estimation of MOS VLSI circuits or discrete component circuits. Analog Integrated Circuits and Signal Processing, vol. ![]()
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