AGORA: Adaptive Generation of Orthogonal Rational Approximations for Frequency-Response Data

IF 1.6 3区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Andria Lemus, Arif Ege Engin
{"title":"AGORA: Adaptive Generation of Orthogonal Rational Approximations for Frequency-Response Data","authors":"Andria Lemus,&nbsp;Arif Ege Engin","doi":"10.1002/cta.4468","DOIUrl":null,"url":null,"abstract":"<p>This paper introduces the adaptive generation of orthogonal rational approximations (AGORA) method for rational function approximation of measured or simulated microwave network parameters. The output of AGORA is a state-space model or a rational function model that is representative of the input data. The generated model can then be used to interpolate the data or to evaluate the data quality. A typical application is the time-domain signal and power integrity analysis in circuit simulations using the generated model from measured or simulated interconnnects and power distribution networks. AGORA allows estimating the model order for a given error tolerance and does not require any initial estimates or adjustment of hyperparameters.</p>","PeriodicalId":13874,"journal":{"name":"International Journal of Circuit Theory and Applications","volume":"53 10","pages":"5751-5759"},"PeriodicalIF":1.6000,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cta.4468","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Circuit Theory and Applications","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cta.4468","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

Abstract

This paper introduces the adaptive generation of orthogonal rational approximations (AGORA) method for rational function approximation of measured or simulated microwave network parameters. The output of AGORA is a state-space model or a rational function model that is representative of the input data. The generated model can then be used to interpolate the data or to evaluate the data quality. A typical application is the time-domain signal and power integrity analysis in circuit simulations using the generated model from measured or simulated interconnnects and power distribution networks. AGORA allows estimating the model order for a given error tolerance and does not require any initial estimates or adjustment of hyperparameters.

Abstract Image

频率响应数据的正交有理逼近的自适应生成
本文介绍了一种自适应正交有理逼近(AGORA)方法,用于测量或模拟微波网络参数的有理函数逼近。AGORA的输出是代表输入数据的状态空间模型或有理函数模型。然后可以使用生成的模型来插入数据或评估数据质量。一个典型的应用是在电路仿真中使用从测量或模拟的互连和配电网络生成的模型进行时域信号和功率完整性分析。AGORA允许估计给定误差容限的模型顺序,并且不需要任何初始估计或超参数的调整。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
International Journal of Circuit Theory and Applications
International Journal of Circuit Theory and Applications 工程技术-工程:电子与电气
CiteScore
3.60
自引率
34.80%
发文量
277
审稿时长
4.5 months
期刊介绍: The scope of the Journal comprises all aspects of the theory and design of analog and digital circuits together with the application of the ideas and techniques of circuit theory in other fields of science and engineering. Examples of the areas covered include: Fundamental Circuit Theory together with its mathematical and computational aspects; Circuit modeling of devices; Synthesis and design of filters and active circuits; Neural networks; Nonlinear and chaotic circuits; Signal processing and VLSI; Distributed, switched and digital circuits; Power electronics; Solid state devices. Contributions to CAD and simulation are welcome.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信