Behavioral-level performance modeling of analog and mixed-signal systems using support vector machines
Ren, Xianqiang and Kazmierski, Tom (2006) Behavioral-level performance modeling of analog and mixed-signal systems using support vector machines. At Behavioral modeling and simulation conference, San Jose, California, USA, , 28-33.
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Description/Abstract
This paper presents a novel behavioral-level analog and mixed- signal (AMS) system performance modeling methodology using support vector machines (SVM). The method relies on linearly graded sub-spaces to model complex multi-dimensional performance spaces. A detailed evaluation of the method has been carried out for the purpose of potential use for AMS synthesis. The method has been applied to a complex non- ideal 2nd order Sigma-Delta modulator (SDM) and results show good accuracy of performance modeling and numerical efficiency.
| Item Type: | Conference or Workshop Item (Speech) |
|---|---|
| Additional Information: | Event Dates: 2006.09 |
| Divisions: | Faculty of Physical and Applied Science > Electronics and Computer Science > EEE |
| Item ID: | 264619 |
| Date Deposited: | 03 Oct 2007 |
| Last Modified: | 01 Mar 2012 11:32 |
| Contributors: | Ren, Xianqiang (Author) Kazmierski, Tom (Author) |
| Date: | 2006 |
| Additional Information: | Event Dates: 2006.09 |
| Status: | Published |
| Further Information: | Google Scholar |
| ISI Citation Count: | 0 |
| URI: | http://eprints.soton.ac.uk/id/eprint/264619 |
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