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.

Download

Full text not available from this repository.

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 Sciences and Engineering > Electronics and Computer Science > EEE
ePrint ID: 264619
Date Deposited: 03 Oct 2007
Last Modified: 27 Mar 2014 20:09
Further Information:Google Scholar
ISI Citation Count:0
URI: http://eprints.soton.ac.uk/id/eprint/264619

Actions (login required)

View Item View Item