Takahiro J. Yamaguchi, K. Ichiyama, X. Hou, M. Ishida
{"title":"一种在全抖动分布中识别确定性抖动模型的鲁棒方法","authors":"Takahiro J. Yamaguchi, K. Ichiyama, X. Hou, M. Ishida","doi":"10.1109/TEST.2009.5355768","DOIUrl":null,"url":null,"abstract":"A new method for identifying a deterministic jitter (DJ) model in a total jitter (TJ) distribution is introduced in this paper. The new method is based on the characteristic function and identifies the DJ model from the given TJ PDF contaminated by an unknown DJ PDF. Benchmark testing using sinusoidal jitter provides validation of the new method for high-performance identification of the DJ model. Experiments on a variety of TJ PDFs also validate the very low false alarm probability of the new method.","PeriodicalId":419063,"journal":{"name":"2009 International Test Conference","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"A robust method for identifying a deterministic jitter model in a total jitter distribution\",\"authors\":\"Takahiro J. Yamaguchi, K. Ichiyama, X. Hou, M. Ishida\",\"doi\":\"10.1109/TEST.2009.5355768\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new method for identifying a deterministic jitter (DJ) model in a total jitter (TJ) distribution is introduced in this paper. The new method is based on the characteristic function and identifies the DJ model from the given TJ PDF contaminated by an unknown DJ PDF. Benchmark testing using sinusoidal jitter provides validation of the new method for high-performance identification of the DJ model. Experiments on a variety of TJ PDFs also validate the very low false alarm probability of the new method.\",\"PeriodicalId\":419063,\"journal\":{\"name\":\"2009 International Test Conference\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Test Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TEST.2009.5355768\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Test Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TEST.2009.5355768","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A robust method for identifying a deterministic jitter model in a total jitter distribution
A new method for identifying a deterministic jitter (DJ) model in a total jitter (TJ) distribution is introduced in this paper. The new method is based on the characteristic function and identifies the DJ model from the given TJ PDF contaminated by an unknown DJ PDF. Benchmark testing using sinusoidal jitter provides validation of the new method for high-performance identification of the DJ model. Experiments on a variety of TJ PDFs also validate the very low false alarm probability of the new method.