Computing parametric yield using adaptive statistical piecewise linear models

An automated algorithm for computing the parametric yield of large analog circuits is presented. It is based on a piecewise linear statistical modeling approach which can adaptively fit the highly nonlinear relations between circuit performance functions and a large numbers of process variables, which traditional polynomial regression approaches cannot handle. Examples indicate the efficiency and accuracy of this approach