Portable Space Mapping for Efficient Statistical Modeling of Passive Components
In this paper, a portable space-mapping technique is presented for efficient statistical modeling of passive components. The proposed technique utilizes the cost-effective model composition of a statistical space mapping, while introducing the portable mapping concept for flexible model development...
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Veröffentlicht in: | IEEE transactions on microwave theory and techniques 2012-03, Vol.60 (3), p.441-450 |
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description | In this paper, a portable space-mapping technique is presented for efficient statistical modeling of passive components. The proposed technique utilizes the cost-effective model composition of a statistical space mapping, while introducing the portable mapping concept for flexible model development for passive modeling. The portable mapping is a single-development-multiple-use versatile wrapper, such that after development it can be conveniently combined with any nominal model to form a set of statistical models of different speed and accuracy. This provides variety in model selection for different design needs. To further reduce modeling cost, i.e., the simulation time required for model data generation, a smart sampling technique is used to achieve better sampling fidelity with smaller sample size. The portable statistical mapping technique is demonstrated through modeling a transmission line and a spiral inductor. |
doi_str_mv | 10.1109/TMTT.2011.2182655 |
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H. ; Wood, J.</creator><creatorcontrib>Lei Zhang ; Aaen, P. H. ; Wood, J.</creatorcontrib><description>In this paper, a portable space-mapping technique is presented for efficient statistical modeling of passive components. The proposed technique utilizes the cost-effective model composition of a statistical space mapping, while introducing the portable mapping concept for flexible model development for passive modeling. The portable mapping is a single-development-multiple-use versatile wrapper, such that after development it can be conveniently combined with any nominal model to form a set of statistical models of different speed and accuracy. This provides variety in model selection for different design needs. To further reduce modeling cost, i.e., the simulation time required for model data generation, a smart sampling technique is used to achieve better sampling fidelity with smaller sample size. The portable statistical mapping technique is demonstrated through modeling a transmission line and a spiral inductor.</description><identifier>ISSN: 0018-9480</identifier><identifier>EISSN: 1557-9670</identifier><identifier>DOI: 10.1109/TMTT.2011.2182655</identifier><identifier>CODEN: IETMAB</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Applied sciences ; Circuit properties ; Computational modeling ; Correlation ; Cost engineering ; Data models ; Electric, optical and optoelectronic circuits ; Electromagnetic (EM) ; Electronic equipment and fabrication. Passive components, printed wiring boards, connectics ; Electronics ; Exact sciences and technology ; Integrated circuit modeling ; Magnetic devices ; Mapping ; Mathematical model ; Microwave circuits, microwave integrated circuits, microwave transmission lines, submillimeter wave circuits ; Microwaves ; Passive components ; Portability ; Power transmission lines ; Samples ; Sampling ; Sampling techniques ; Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices ; space mapping ; Statistical analysis ; statistical modeling ; Studies ; Substrates</subject><ispartof>IEEE transactions on microwave theory and techniques, 2012-03, Vol.60 (3), p.441-450</ispartof><rights>2015 INIST-CNRS</rights><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Mar 2012</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c398t-f7ef34dcb76cac3f13342ced25da6146cde37b09c070f9eaea722ac50a43f0eb3</citedby><cites>FETCH-LOGICAL-c398t-f7ef34dcb76cac3f13342ced25da6146cde37b09c070f9eaea722ac50a43f0eb3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6138888$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,778,782,794,27911,27912,54745</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6138888$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=25703472$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Lei Zhang</creatorcontrib><creatorcontrib>Aaen, P. H.</creatorcontrib><creatorcontrib>Wood, J.</creatorcontrib><title>Portable Space Mapping for Efficient Statistical Modeling of Passive Components</title><title>IEEE transactions on microwave theory and techniques</title><addtitle>TMTT</addtitle><description>In this paper, a portable space-mapping technique is presented for efficient statistical modeling of passive components. The proposed technique utilizes the cost-effective model composition of a statistical space mapping, while introducing the portable mapping concept for flexible model development for passive modeling. The portable mapping is a single-development-multiple-use versatile wrapper, such that after development it can be conveniently combined with any nominal model to form a set of statistical models of different speed and accuracy. This provides variety in model selection for different design needs. To further reduce modeling cost, i.e., the simulation time required for model data generation, a smart sampling technique is used to achieve better sampling fidelity with smaller sample size. The portable statistical mapping technique is demonstrated through modeling a transmission line and a spiral inductor.</description><subject>Applied sciences</subject><subject>Circuit properties</subject><subject>Computational modeling</subject><subject>Correlation</subject><subject>Cost engineering</subject><subject>Data models</subject><subject>Electric, optical and optoelectronic circuits</subject><subject>Electromagnetic (EM)</subject><subject>Electronic equipment and fabrication. Passive components, printed wiring boards, connectics</subject><subject>Electronics</subject><subject>Exact sciences and technology</subject><subject>Integrated circuit modeling</subject><subject>Magnetic devices</subject><subject>Mapping</subject><subject>Mathematical model</subject><subject>Microwave circuits, microwave integrated circuits, microwave transmission lines, submillimeter wave circuits</subject><subject>Microwaves</subject><subject>Passive components</subject><subject>Portability</subject><subject>Power transmission lines</subject><subject>Samples</subject><subject>Sampling</subject><subject>Sampling techniques</subject><subject>Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices</subject><subject>space mapping</subject><subject>Statistical analysis</subject><subject>statistical modeling</subject><subject>Studies</subject><subject>Substrates</subject><issn>0018-9480</issn><issn>1557-9670</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkF1LwzAUhoMoOKc_QLwpguBNZz6apr2UMT9gY4PN63KWnkika2rSCf57UzZ2YS4SDud5X8JDyC2jE8Zo-bRZbDYTThmbcFbwXMozMmJSqrTMFT0nI0pZkZZZQS_JVQhfccwkLUZkuXK-h22DyboDjckCus62n4lxPpkZY7XFtk_WPfQ29FZDkyxcjc2AOJOsIAT7g8nU7TrXRjJckwsDTcCb4zsmHy-zzfQtnS9f36fP81SLsuhTo9CIrNZblWvQwjAhMq6x5rKGnGW5rlGoLS01VdSUCAiKc9CSQiYMxa0Yk8dDb-fd9x5DX-1s0Ng00KLbh4pRVuaScyYjev8P_XJ738bfVaWKGuLFI8QOkPYuBI-m6rzdgf-NTdVguBoMV4Ph6mg4Zh6OxRCiGeOh1TacglwqKjI1dN8dOIuIp3XORBGP-ANfsoSn</recordid><startdate>20120301</startdate><enddate>20120301</enddate><creator>Lei Zhang</creator><creator>Aaen, P. 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Passive components, printed wiring boards, connectics</topic><topic>Electronics</topic><topic>Exact sciences and technology</topic><topic>Integrated circuit modeling</topic><topic>Magnetic devices</topic><topic>Mapping</topic><topic>Mathematical model</topic><topic>Microwave circuits, microwave integrated circuits, microwave transmission lines, submillimeter wave circuits</topic><topic>Microwaves</topic><topic>Passive components</topic><topic>Portability</topic><topic>Power transmission lines</topic><topic>Samples</topic><topic>Sampling</topic><topic>Sampling techniques</topic><topic>Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices</topic><topic>space mapping</topic><topic>Statistical analysis</topic><topic>statistical modeling</topic><topic>Studies</topic><topic>Substrates</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lei Zhang</creatorcontrib><creatorcontrib>Aaen, P. 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H.</au><au>Wood, J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Portable Space Mapping for Efficient Statistical Modeling of Passive Components</atitle><jtitle>IEEE transactions on microwave theory and techniques</jtitle><stitle>TMTT</stitle><date>2012-03-01</date><risdate>2012</risdate><volume>60</volume><issue>3</issue><spage>441</spage><epage>450</epage><pages>441-450</pages><issn>0018-9480</issn><eissn>1557-9670</eissn><coden>IETMAB</coden><abstract>In this paper, a portable space-mapping technique is presented for efficient statistical modeling of passive components. The proposed technique utilizes the cost-effective model composition of a statistical space mapping, while introducing the portable mapping concept for flexible model development for passive modeling. The portable mapping is a single-development-multiple-use versatile wrapper, such that after development it can be conveniently combined with any nominal model to form a set of statistical models of different speed and accuracy. This provides variety in model selection for different design needs. To further reduce modeling cost, i.e., the simulation time required for model data generation, a smart sampling technique is used to achieve better sampling fidelity with smaller sample size. The portable statistical mapping technique is demonstrated through modeling a transmission line and a spiral inductor.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/TMTT.2011.2182655</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Applied sciences Circuit properties Computational modeling Correlation Cost engineering Data models Electric, optical and optoelectronic circuits Electromagnetic (EM) Electronic equipment and fabrication. Passive components, printed wiring boards, connectics Electronics Exact sciences and technology Integrated circuit modeling Magnetic devices Mapping Mathematical model Microwave circuits, microwave integrated circuits, microwave transmission lines, submillimeter wave circuits Microwaves Passive components Portability Power transmission lines Samples Sampling Sampling techniques Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices space mapping Statistical analysis statistical modeling Studies Substrates |
title | Portable Space Mapping for Efficient Statistical Modeling of Passive Components |
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