An Accurate and Efficient Approach to Statistical Simulation for Large-Scale Analog Circuits

dc.contributor.authorChao, C-Y.en_US
dc.contributor.authorMilor, Lindaen_US
dc.contributor.departmentISRen_US
dc.date.accessioned2007-05-23T09:51:43Z
dc.date.available2007-05-23T09:51:43Z
dc.date.issued1992en_US
dc.description.abstractA systematic approach to statistical simulation for large scale analog circuits is presented. The statistical model takes into account mismatch between devices due to variations in the process and noise, as well as interdie variations. The number of statistical parameters is O (n), where n is the number of devices. Additionally, because large-scale analog circuits are very computationally intensive to simulate, a two level approach is used, combining a behavioral model relating block performances to circuit performances and regression models relating a set of primary statistical variables to block performances. The efficiency of this approach to statistical simulation is demonstrated with the examples of an A/D converter.en_US
dc.format.extent850892 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/1903/5285
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; TR 1992-104en_US
dc.subjectcomputer aided designen_US
dc.subjectcomputer aided manufacturingen_US
dc.subjectmanufacturabilityen_US
dc.subjectSystems Integrationen_US
dc.titleAn Accurate and Efficient Approach to Statistical Simulation for Large-Scale Analog Circuitsen_US
dc.typeTechnical Reporten_US

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