{"title":"似然采样自适应故障仿真","authors":"G. Léger, A. Ginés","doi":"10.1109/IMS3TW.2017.7995200","DOIUrl":null,"url":null,"abstract":"This paper builds upon recent developments that argue for a fault simulation based on defect-likelihood sampling. It first questions, with a number of synthetic experiments, the premises of this approach and offers an alternative simple mechanism for the random selection of defects. Then, it introduces a new layer of variability with the parametrization of the opens and shorts resistivity while keeping the computational cost overhead low by means of an adaptive strategy.","PeriodicalId":115078,"journal":{"name":"2017 International Mixed Signals Testing Workshop (IMSTW)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Likelihood-sampling adaptive fault simulation\",\"authors\":\"G. Léger, A. Ginés\",\"doi\":\"10.1109/IMS3TW.2017.7995200\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper builds upon recent developments that argue for a fault simulation based on defect-likelihood sampling. It first questions, with a number of synthetic experiments, the premises of this approach and offers an alternative simple mechanism for the random selection of defects. Then, it introduces a new layer of variability with the parametrization of the opens and shorts resistivity while keeping the computational cost overhead low by means of an adaptive strategy.\",\"PeriodicalId\":115078,\"journal\":{\"name\":\"2017 International Mixed Signals Testing Workshop (IMSTW)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Mixed Signals Testing Workshop (IMSTW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IMS3TW.2017.7995200\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Mixed Signals Testing Workshop (IMSTW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMS3TW.2017.7995200","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper builds upon recent developments that argue for a fault simulation based on defect-likelihood sampling. It first questions, with a number of synthetic experiments, the premises of this approach and offers an alternative simple mechanism for the random selection of defects. Then, it introduces a new layer of variability with the parametrization of the opens and shorts resistivity while keeping the computational cost overhead low by means of an adaptive strategy.