An Automated Model Generation Approach for High Level Modelling
Over the last few years automated model generation has become an increasingly important component of methodologies for verification of large, complex mix-signal SoCs (system-on-chips) and SiPs (system-in-packages). In this paper a novel approach termed Multiple Model Generation System using Delta op...
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my.utp.eprints.27822017-01-19T08:26:13Z An Automated Model Generation Approach for High Level Modelling Xia, Likun Bell, Ian Wilkinson, Antony TK Electrical engineering. Electronics Nuclear engineering Over the last few years automated model generation has become an increasingly important component of methodologies for verification of large, complex mix-signal SoCs (system-on-chips) and SiPs (system-in-packages). In this paper a novel approach termed Multiple Model Generation System using Delta operator (MMGSD) is developed for extracting either single-input single-output (SISO) or multiple-input single-output (MISO) macromodels from a SPICE netlist. This model generation process detects nonlinearity through variations in output error. Examples of the application of MMGSD are presented for simple two-input systems incorporating a two-stage CMOS operational amplifier (op amp). We demonstrate the generated models are able to model various circuits with good accuracy. 2008-07 Conference or Workshop Item PeerReviewed application/pdf http://eprints.utp.edu.my/2782/1/WCE08.PDF http://www.iaeng.org/publication/WCE2008/ Xia, Likun and Bell, Ian and Wilkinson, Antony (2008) An Automated Model Generation Approach for High Level Modelling. In: World Congress on Engineering (WCE) 2008, July2-4, 2008, London, UK. http://eprints.utp.edu.my/2782/ |
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TK Electrical engineering. Electronics Nuclear engineering Xia, Likun Bell, Ian Wilkinson, Antony An Automated Model Generation Approach for High Level Modelling |
| description |
Over the last few years automated model generation has become an increasingly important component of methodologies for verification of large, complex mix-signal SoCs (system-on-chips) and SiPs (system-in-packages). In this paper a novel approach termed Multiple Model Generation System using Delta operator (MMGSD) is developed for extracting either single-input single-output (SISO) or multiple-input single-output (MISO) macromodels from a SPICE netlist. This model generation process detects nonlinearity through variations in output error. Examples of the application of MMGSD are presented for simple two-input systems incorporating a two-stage CMOS operational amplifier (op amp). We demonstrate the generated models are able to model various circuits with good accuracy. |
| format |
Conference or Workshop Item |
| author |
Xia, Likun Bell, Ian Wilkinson, Antony |
| author_facet |
Xia, Likun Bell, Ian Wilkinson, Antony |
| author_sort |
Xia, Likun |
| title |
An Automated Model Generation Approach for High Level Modelling |
| title_short |
An Automated Model Generation Approach for High Level Modelling |
| title_full |
An Automated Model Generation Approach for High Level Modelling |
| title_fullStr |
An Automated Model Generation Approach for High Level Modelling |
| title_full_unstemmed |
An Automated Model Generation Approach for High Level Modelling |
| title_sort |
automated model generation approach for high level modelling |
| publishDate |
2008 |
| url |
http://eprints.utp.edu.my/2782/1/WCE08.PDF http://www.iaeng.org/publication/WCE2008/ http://eprints.utp.edu.my/2782/ |
| _version_ |
1738655221318418432 |
| score |
13.250246 |