Behavioral simulation for noise in mixed-mode sampled-data systems

In this paper a “direct” noise analysis approach for mixedmode systems is presented with experimental results compared with results from the traditional Monte Carlo approach. The direct approach computes noise effects by performing arithmetic on moments of distribution functions that characterize electronic noise. One key advantage of this approach is its ability to compute low error probabilities. From experimental results, it is shown that very low order moments, such as second order, are sufficient for a good estimate of noise effects.

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