{"title":"基于模型降阶法的数字系统互连分析","authors":"J. Przewocki, L. Kulas, M. Mrozowski","doi":"10.1109/MIKON.2006.4345246","DOIUrl":null,"url":null,"abstract":"In this paper we study the accuracy and efficiency of digital system interconnects analysis using model order reduction (MOR) methods. The system is represented by its partial elements equivalent circuit (PEEC) and then reduced using ENOR, SMOR or SAPOR algorithm. As a result one obtains a compact input-output relation. Numerical examples confirm the efficiency and robustness of all model order reduction techniques.","PeriodicalId":315003,"journal":{"name":"2006 International Conference on Microwaves, Radar & Wireless Communications","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Digital System Interconnects Analysis using Model Order Reduction Methods\",\"authors\":\"J. Przewocki, L. Kulas, M. Mrozowski\",\"doi\":\"10.1109/MIKON.2006.4345246\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we study the accuracy and efficiency of digital system interconnects analysis using model order reduction (MOR) methods. The system is represented by its partial elements equivalent circuit (PEEC) and then reduced using ENOR, SMOR or SAPOR algorithm. As a result one obtains a compact input-output relation. Numerical examples confirm the efficiency and robustness of all model order reduction techniques.\",\"PeriodicalId\":315003,\"journal\":{\"name\":\"2006 International Conference on Microwaves, Radar & Wireless Communications\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-05-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 International Conference on Microwaves, Radar & Wireless Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MIKON.2006.4345246\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 International Conference on Microwaves, Radar & Wireless Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MIKON.2006.4345246","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Digital System Interconnects Analysis using Model Order Reduction Methods
In this paper we study the accuracy and efficiency of digital system interconnects analysis using model order reduction (MOR) methods. The system is represented by its partial elements equivalent circuit (PEEC) and then reduced using ENOR, SMOR or SAPOR algorithm. As a result one obtains a compact input-output relation. Numerical examples confirm the efficiency and robustness of all model order reduction techniques.
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