Automated Macromodel Generation for High Level Modeling
In this paper we present a novel approach termed multiple model generation system (MMGS) for extracting either single-input single-output (SISO) or multiple-input single-output (MISO) macromodels from a SPICE netlist. It detects nonlinearity through variations in output error. The multiple model con...
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my.utp.eprints.27852017-01-19T08:26:18Z Automated Macromodel Generation for High Level Modeling Xia, Likun Bell, Ian Wilkinson, Antony T Technology (General) TK Electrical engineering. Electronics Nuclear engineering In this paper we present a novel approach termed multiple model generation system (MMGS) for extracting either single-input single-output (SISO) or multiple-input single-output (MISO) macromodels from a SPICE netlist. It detects nonlinearity through variations in output error. The multiple model conversion system (MMCS) is developed to automatically convert these models from MMGS into hardware description language (HDL) models for either SISO or MISO macromodels and behave as the operational amplifier (op amp). We demonstrate the application of MMGS using a two-stage CMOS operational amplifier (op amp), comparing simulations of the macromodel against those of the original SPICE circuit utilizing transient analysis. 2008-03-25 Conference or Workshop Item NonPeerReviewed application/pdf http://eprints.utp.edu.my/2785/1/DTIS08-69.pdf http://ieeexplore.ieee.org/search/srchabstract.jsp?tp=&arnumber=4540271&queryText%3DAutomated+Macromodel+Generation+for+High+Level+Modelling%26openedRefinements%3D*%26searchField%3DSearch+All Xia, Likun and Bell, Ian and Wilkinson, Antony (2008) Automated Macromodel Generation for High Level Modeling. In: 3rd IEEE International Conference on Design and Technology of Integrated Systems in Nanoscale Era, 2008. DTIS 2008. , 25-27 March 2008 , Tozeur . http://eprints.utp.edu.my/2785/ |
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T Technology (General) TK Electrical engineering. Electronics Nuclear engineering Xia, Likun Bell, Ian Wilkinson, Antony Automated Macromodel Generation for High Level Modeling |
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In this paper we present a novel approach termed multiple model generation system (MMGS) for extracting either single-input single-output (SISO) or multiple-input single-output (MISO) macromodels from a SPICE netlist. It detects nonlinearity through variations in output error. The multiple model conversion system (MMCS) is developed to automatically convert these models from MMGS into hardware description language (HDL) models for either SISO or MISO macromodels and behave as the operational amplifier (op amp). We demonstrate the application of MMGS using a two-stage CMOS operational amplifier (op amp), comparing simulations of the macromodel against those of the original SPICE circuit utilizing transient analysis. |
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Conference or Workshop Item |
author |
Xia, Likun Bell, Ian Wilkinson, Antony |
author_facet |
Xia, Likun Bell, Ian Wilkinson, Antony |
author_sort |
Xia, Likun |
title |
Automated Macromodel Generation for High Level Modeling |
title_short |
Automated Macromodel Generation for High Level Modeling |
title_full |
Automated Macromodel Generation for High Level Modeling |
title_fullStr |
Automated Macromodel Generation for High Level Modeling |
title_full_unstemmed |
Automated Macromodel Generation for High Level Modeling |
title_sort |
automated macromodel generation for high level modeling |
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2008 |
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http://eprints.utp.edu.my/2785/1/DTIS08-69.pdf http://ieeexplore.ieee.org/search/srchabstract.jsp?tp=&arnumber=4540271&queryText%3DAutomated+Macromodel+Generation+for+High+Level+Modelling%26openedRefinements%3D*%26searchField%3DSearch+All http://eprints.utp.edu.my/2785/ |
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1738655221720023040 |
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13.211869 |