利用不完全复跳频实现无源性

2016 IEEE 25th Conference on Electrical Performance Of Electronic Packaging And Systems (EPEPS) Pub Date : 2016-10-01 DOI:10.1109/EPEPS.2016.7835413

Y. Xiao, M. Kabir, R. Khazaka

{"title":"利用不完全复跳频实现无源性","authors":"Y. Xiao, M. Kabir, R. Khazaka","doi":"10.1109/EPEPS.2016.7835413","DOIUrl":null,"url":null,"abstract":"In this paper, an efficient passivity enforcement algorithm for S-parameter based macromodels is proposed. The approach is based on the perturbation of the imaginary eigenvalues of the Hamiltonian Matrix. The CPU cost savings are obtained by selective computation and perturbation of a subset of the imaginary eigenvalues. The proposed approach is shown to be efficient compared to existing state of the art methods.","PeriodicalId":241629,"journal":{"name":"2016 IEEE 25th Conference on Electrical Performance Of Electronic Packaging And Systems (EPEPS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Passivity enforcement using incomplete complex frequency hopping\",\"authors\":\"Y. Xiao, M. Kabir, R. Khazaka\",\"doi\":\"10.1109/EPEPS.2016.7835413\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, an efficient passivity enforcement algorithm for S-parameter based macromodels is proposed. The approach is based on the perturbation of the imaginary eigenvalues of the Hamiltonian Matrix. The CPU cost savings are obtained by selective computation and perturbation of a subset of the imaginary eigenvalues. The proposed approach is shown to be efficient compared to existing state of the art methods.\",\"PeriodicalId\":241629,\"journal\":{\"name\":\"2016 IEEE 25th Conference on Electrical Performance Of Electronic Packaging And Systems (EPEPS)\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE 25th Conference on Electrical Performance Of Electronic Packaging And Systems (EPEPS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EPEPS.2016.7835413\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 25th Conference on Electrical Performance Of Electronic Packaging And Systems (EPEPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EPEPS.2016.7835413","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 4

摘要

针对基于s参数的宏模型，提出了一种有效的无源强制算法。该方法基于哈密顿矩阵虚特征值的摄动。通过对虚特征值子集的选择性计算和扰动来节省CPU成本。与现有的技术方法相比，所提出的方法是有效的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Passivity enforcement using incomplete complex frequency hopping

In this paper, an efficient passivity enforcement algorithm for S-parameter based macromodels is proposed. The approach is based on the perturbation of the imaginary eigenvalues of the Hamiltonian Matrix. The CPU cost savings are obtained by selective computation and perturbation of a subset of the imaginary eigenvalues. The proposed approach is shown to be efficient compared to existing state of the art methods.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2016 IEEE 25th Conference on Electrical Performance Of Electronic Packaging And Systems (EPEPS)

自引率

0.00%

发文量