{"title":"高速链路非线性系统眼图仿真的统计方法","authors":"Bobi Shi, Yi Zhou, Thong Nguyen, J. Schutt-Ainé","doi":"10.1109/EDAPS56906.2022.9994885","DOIUrl":null,"url":null,"abstract":"In this work, an accurate method for the statistical analysis of eye diagrams of nonlinear systems is proposed. The probability density function of a nonlinear input is known and the static memory-less nonlinearity is characterized by a polynomial function. The probability density function of the nonlinear output can thus be estimated through the nonlinear transformation to calculate the final statistical eye diagram.","PeriodicalId":401014,"journal":{"name":"2022 IEEE Electrical Design of Advanced Packaging and Systems (EDAPS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Statistical Method for Eye Diagram Simulation in a High-Speed Link Nonlinear System\",\"authors\":\"Bobi Shi, Yi Zhou, Thong Nguyen, J. Schutt-Ainé\",\"doi\":\"10.1109/EDAPS56906.2022.9994885\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this work, an accurate method for the statistical analysis of eye diagrams of nonlinear systems is proposed. The probability density function of a nonlinear input is known and the static memory-less nonlinearity is characterized by a polynomial function. The probability density function of the nonlinear output can thus be estimated through the nonlinear transformation to calculate the final statistical eye diagram.\",\"PeriodicalId\":401014,\"journal\":{\"name\":\"2022 IEEE Electrical Design of Advanced Packaging and Systems (EDAPS)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE Electrical Design of Advanced Packaging and Systems (EDAPS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EDAPS56906.2022.9994885\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Electrical Design of Advanced Packaging and Systems (EDAPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EDAPS56906.2022.9994885","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Statistical Method for Eye Diagram Simulation in a High-Speed Link Nonlinear System
In this work, an accurate method for the statistical analysis of eye diagrams of nonlinear systems is proposed. The probability density function of a nonlinear input is known and the static memory-less nonlinearity is characterized by a polynomial function. The probability density function of the nonlinear output can thus be estimated through the nonlinear transformation to calculate the final statistical eye diagram.