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- Publisher Website: 10.1109/TCPMT.2013.2245179
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Article: Exploiting implicit information from data for linear macromodeling
Title | Exploiting implicit information from data for linear macromodeling |
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Authors | |
Keywords | System identification Macromodeling Discrete-time domain Vector fitting P-norm identification Frequency warping Hybrid-domain Implicit information |
Issue Date | 2013 |
Publisher | IEEE. 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? |
Abstract | In 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 Identifier | http://hdl.handle.net/10722/198766 |
ISSN | 2023 Impact Factor: 2.3 2023 SCImago Journal Rankings: 0.562 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Lei, Chi-Un | - |
dc.date.accessioned | 2014-07-09T03:42:13Z | - |
dc.date.available | 2014-07-09T03:42:13Z | - |
dc.date.issued | 2013 | - |
dc.identifier.citation | IEEE Transactions on Components, Packaging and Manufacturing Technology, 2013, v. 3, n. 9, p. 1570-1577 | - |
dc.identifier.issn | 2156-3950 | - |
dc.identifier.uri | http://hdl.handle.net/10722/198766 | - |
dc.description.abstract | In 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.language | eng | - |
dc.publisher | IEEE. The Journal's web site is located at http://cpmt.ieee.org/transactions-on-cpmt.html | - |
dc.relation.ispartof | IEEE Transactions on Components, Packaging and Manufacturing Technology | - |
dc.subject | System identification | - |
dc.subject | Macromodeling | - |
dc.subject | Discrete-time domain | - |
dc.subject | Vector fitting | - |
dc.subject | P-norm identification | - |
dc.subject | Frequency warping | - |
dc.subject | Hybrid-domain | - |
dc.subject | Implicit information | - |
dc.title | Exploiting implicit information from data for linear macromodeling | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/TCPMT.2013.2245179 | - |
dc.identifier.scopus | eid_2-s2.0-84884282198 | - |
dc.identifier.hkuros | 230622 | - |
dc.identifier.volume | 3 | - |
dc.identifier.issue | 9 | - |
dc.identifier.spage | 1570 | - |
dc.identifier.epage | 1577 | - |
dc.identifier.isi | WOS:000324384600015 | - |
dc.identifier.issnl | 2156-3950 | - |