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Article: Exploiting implicit information from data for linear macromodeling

TitleExploiting implicit information from data for linear macromodeling
Authors
KeywordsSystem identification
Macromodeling
Discrete-time domain
Vector fitting
P-norm identification
Frequency warping
Hybrid-domain
Implicit information
Issue Date2013
PublisherIEEE. The Journal's web site is located at http://cpmt.ieee.org/transactions-on-cpmt.html
Citation
IEEE Transactions on Components, Packaging and Manufacturing Technology, 2013, v. 3, n. 9, p. 1570-1577 How to Cite?
AbstractIn macromodeling, data points of sampled structure responses are always matched to construct linear macromodels for transient simulations of packaging structures. However, implicit information from sampled data has not been exploited comprehensively to facilitate the identification process. In this paper, we exploit implicit information from the sampled data for linear marcomodeling. First, in order to include complementary data for a more informative identification, we propose a discrete-time domain identification framework for frequency-/time-/hybrid-domain macromodeling. Second, we introduce pre-/post-processing techniques (e.g., P-norm identification criterion and warped frequency-/hybrid-domain identification) to interpret implicit information for configurations of identifications. Various examples from chip-level to board-level are used to demonstrate the performance of the proposed framework. © 2013 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/198766
ISSN
2015 Impact Factor: 1.151
2015 SCImago Journal Rankings: 0.620
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLei, Chi-Un-
dc.date.accessioned2014-07-09T03:42:13Z-
dc.date.available2014-07-09T03:42:13Z-
dc.date.issued2013-
dc.identifier.citationIEEE Transactions on Components, Packaging and Manufacturing Technology, 2013, v. 3, n. 9, p. 1570-1577-
dc.identifier.issn2156-3950-
dc.identifier.urihttp://hdl.handle.net/10722/198766-
dc.description.abstractIn macromodeling, data points of sampled structure responses are always matched to construct linear macromodels for transient simulations of packaging structures. However, implicit information from sampled data has not been exploited comprehensively to facilitate the identification process. In this paper, we exploit implicit information from the sampled data for linear marcomodeling. First, in order to include complementary data for a more informative identification, we propose a discrete-time domain identification framework for frequency-/time-/hybrid-domain macromodeling. Second, we introduce pre-/post-processing techniques (e.g., P-norm identification criterion and warped frequency-/hybrid-domain identification) to interpret implicit information for configurations of identifications. Various examples from chip-level to board-level are used to demonstrate the performance of the proposed framework. © 2013 IEEE.-
dc.languageeng-
dc.publisherIEEE. The Journal's web site is located at http://cpmt.ieee.org/transactions-on-cpmt.html-
dc.relation.ispartofIEEE Transactions on Components, Packaging and Manufacturing Technology-
dc.rights©2013 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.rightsIEEE Transactions on Components, Packaging and Manufacturing Technology. Copyright © IEEE-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectSystem identification-
dc.subjectMacromodeling-
dc.subjectDiscrete-time domain-
dc.subjectVector fitting-
dc.subjectP-norm identification-
dc.subjectFrequency warping-
dc.subjectHybrid-domain-
dc.subjectImplicit information-
dc.titleExploiting implicit information from data for linear macromodeling-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/TCPMT.2013.2245179-
dc.identifier.scopuseid_2-s2.0-84884282198-
dc.identifier.hkuros230622-
dc.identifier.volume3-
dc.identifier.issue9-
dc.identifier.spage1570-
dc.identifier.epage1577-
dc.identifier.isiWOS:000324384600015-

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