{"title":"基于采样频率数据的被动参数宏观建模","authors":"P. Triverio, M. Nakhla, S. Grivet-Talocia","doi":"10.1109/SPI.2010.5483554","DOIUrl":null,"url":null,"abstract":"We present an efficient algorithm for the generation of passive parametric macromodels from impedance, admittance, or scattering frequency samples. The model formulation includes design variables in symbolic form and guarantees stability, causality, and passivity by construction. Model accuracy and efficiency are superior to previous solutions, because of a generalized formulation based on parameter-dependent poles. Two application examples demonstrate the excellent algorithm performance in modeling linear passive devices and interconnects.","PeriodicalId":293987,"journal":{"name":"2010 IEEE 14th Workshop on Signal Propagation on Interconnects","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"25","resultStr":"{\"title\":\"Passive parametric macromodeling from sampled frequency data\",\"authors\":\"P. Triverio, M. Nakhla, S. Grivet-Talocia\",\"doi\":\"10.1109/SPI.2010.5483554\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present an efficient algorithm for the generation of passive parametric macromodels from impedance, admittance, or scattering frequency samples. The model formulation includes design variables in symbolic form and guarantees stability, causality, and passivity by construction. Model accuracy and efficiency are superior to previous solutions, because of a generalized formulation based on parameter-dependent poles. Two application examples demonstrate the excellent algorithm performance in modeling linear passive devices and interconnects.\",\"PeriodicalId\":293987,\"journal\":{\"name\":\"2010 IEEE 14th Workshop on Signal Propagation on Interconnects\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"25\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE 14th Workshop on Signal Propagation on Interconnects\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPI.2010.5483554\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE 14th Workshop on Signal Propagation on Interconnects","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPI.2010.5483554","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Passive parametric macromodeling from sampled frequency data
We present an efficient algorithm for the generation of passive parametric macromodels from impedance, admittance, or scattering frequency samples. The model formulation includes design variables in symbolic form and guarantees stability, causality, and passivity by construction. Model accuracy and efficiency are superior to previous solutions, because of a generalized formulation based on parameter-dependent poles. Two application examples demonstrate the excellent algorithm performance in modeling linear passive devices and interconnects.
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