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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, United States. , pp. 28-33.

Record type: Conference or Workshop Item (Other)

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.

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More information

Published date: 2006
Additional Information: Event Dates: 2006.09
Venue - Dates: Behavioral modeling and simulation conference, United States, 2006-09-01
Organisations: EEE

Identifiers

Local EPrints ID: 264619
URI: http://eprints.soton.ac.uk/id/eprint/264619
PURE UUID: 33cff924-7656-48f0-b54d-d71cf9efc9e2

Catalogue record

Date deposited: 03 Oct 2007
Last modified: 18 Jul 2017 07:34

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Contributors

Author: Xianqiang Ren
Author: Tom Kazmierski

University divisions

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