Monte Carlo
Abstract
The Monte Carlo analysis was introduced in Chapter 10. In summary, the Monte Carlo analysis is used to estimate the statistical performance of a circuit by randomly varying component tolerances and model parameter tolerances between their specified tolerance limits. The generated component values are based upon statistical distributions. The circuit analysis (DC, AC, or transient) is repeated a number of specified times using newly generated component and model tolerance values. Increasing the number of simulation runs will increase the spread of component tolerance values used for each simulation. The statistical results will give an indication on the robustness or yield of circuit performance to a range of ...
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