{"title":"一种准确、稳健和直观的技术来检测宽带频率测量中的因果关系违规","authors":"P. Triverio","doi":"10.1109/ISEMC.2014.6899080","DOIUrl":null,"url":null,"abstract":"Dispersion relations with filtering were recently proposed to reliably test the causality of sampled scattering parameters obtained with a direct measurement or a full-wave simulation. Owing to the use of a simple low-pass filter, this novel form of relations is much easier to implement and understand than previous approaches. In this paper, we demonstrate, through a rigorous theoretical analysis and numerical tests, that the novel method provides a better estimation of the detected violation. The proposed analysis also elucidates the effect of the low-pass filter on the causality test.","PeriodicalId":279929,"journal":{"name":"2014 IEEE International Symposium on Electromagnetic Compatibility (EMC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An accurate, robust and intuitive technique to detect causality violations in broadband frequency measurements\",\"authors\":\"P. Triverio\",\"doi\":\"10.1109/ISEMC.2014.6899080\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Dispersion relations with filtering were recently proposed to reliably test the causality of sampled scattering parameters obtained with a direct measurement or a full-wave simulation. Owing to the use of a simple low-pass filter, this novel form of relations is much easier to implement and understand than previous approaches. In this paper, we demonstrate, through a rigorous theoretical analysis and numerical tests, that the novel method provides a better estimation of the detected violation. The proposed analysis also elucidates the effect of the low-pass filter on the causality test.\",\"PeriodicalId\":279929,\"journal\":{\"name\":\"2014 IEEE International Symposium on Electromagnetic Compatibility (EMC)\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-11-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE International Symposium on Electromagnetic Compatibility (EMC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISEMC.2014.6899080\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Symposium on Electromagnetic Compatibility (EMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISEMC.2014.6899080","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An accurate, robust and intuitive technique to detect causality violations in broadband frequency measurements
Dispersion relations with filtering were recently proposed to reliably test the causality of sampled scattering parameters obtained with a direct measurement or a full-wave simulation. Owing to the use of a simple low-pass filter, this novel form of relations is much easier to implement and understand than previous approaches. In this paper, we demonstrate, through a rigorous theoretical analysis and numerical tests, that the novel method provides a better estimation of the detected violation. The proposed analysis also elucidates the effect of the low-pass filter on the causality test.