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Mismatch Contribution Analysis
Mismatch Contribution Analysis is a Monte Carlo post-processing feature that helps in identifying the important contributors to mismatch variation. You can then modify the identified devices in the schematic and make the design less sensitive to mismatch variation. You can apply this method to existing standard Monte Carlo results or use the Sensitivity Accuracy method to automatically run the minimum required number of points.
The Sensitivity Accuracy method is used to post-process Monte Carlo results and view the Mismatch Contribution table when you are not sure about the number of samples required to view the mismatch contribution results. This method helps in automatically determining the number of samples required to be run to meet the target accuracy level so that post-processing for Mismatch Contribution analysis can be done. The number of samples depends on the design and the number of statistical parameters defined by the model files.
When you select this method, the Monte Carlo run is stopped as soon as a model for variation contribution can be built for every output.
The following workflow shows how you can save and analyze the mismatch contribution data to improve your design.
Related Topics
Running Mismatch Contribution Analysis
Viewing Results of Mismatch Contribution Analysis
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