The University of Southampton
University of Southampton Institutional Repository

Architectural synthesis of high-level analogue VHDL-AMS descriptions using netlist extraction from parse trees

Architectural synthesis of high-level analogue VHDL-AMS descriptions using netlist extraction from parse trees
Architectural synthesis of high-level analogue VHDL-AMS descriptions using netlist extraction from parse trees
A technique of translating high-level analogue dynamic system behavioural models from VHDL-AMS parse trees into circuit-level netlists is described. The primary application of this work is automatic synthesis of general analogue dynamic systems with feedback. The technique is demonstrated with a practical example of Lorenz's chaos system synthesis.
0013-5194
1680-1682
Asensi, G.D.
a9b91a41-79e1-497c-968a-8563a523a444
Kazmierski, T.J.
a97d7958-40c3-413f-924d-84545216092a
Merino, R.R.
1b5c7599-0dd1-4cb8-b367-fe35f3a275fc
Asensi, G.D.
a9b91a41-79e1-497c-968a-8563a523a444
Kazmierski, T.J.
a97d7958-40c3-413f-924d-84545216092a
Merino, R.R.
1b5c7599-0dd1-4cb8-b367-fe35f3a275fc

Asensi, G.D., Kazmierski, T.J. and Merino, R.R. (2000) Architectural synthesis of high-level analogue VHDL-AMS descriptions using netlist extraction from parse trees. Electronics Letters, 36 (20), 1680-1682. (doi:10.1049/el:20001202).

Record type: Article

Abstract

A technique of translating high-level analogue dynamic system behavioural models from VHDL-AMS parse trees into circuit-level netlists is described. The primary application of this work is automatic synthesis of general analogue dynamic systems with feedback. The technique is demonstrated with a practical example of Lorenz's chaos system synthesis.

Full text not available from this repository.

More information

Published date: 28 September 2000
Organisations: EEE

Identifiers

Local EPrints ID: 255719
URI: https://eprints.soton.ac.uk/id/eprint/255719
ISSN: 0013-5194
PURE UUID: 0fe88bd5-eb20-44e6-85ee-2dee8d07b09b

Catalogue record

Date deposited: 11 Apr 2001
Last modified: 03 Jan 2019 10:30

Export record

Altmetrics

Contributors

Author: G.D. Asensi
Author: T.J. Kazmierski
Author: R.R. Merino

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×