The University of Southampton
×
Filter your search:
University of Southampton Institutional Repository

Independent component analysis using Gaussian mixture models

Independent component analysis using Gaussian mixture models
Independent component analysis using Gaussian mixture models
This paper discusses a method for performing independent component analysis exploiting Gaussian mixture models (GMMs). Previously most techniques that combine these method shave used GMMs to model the source signals. This paper considers a parsimonious method for modelling the observed signals. The GMM is fitted to the observed data using a modified version of the expectation maximisation algorithm.
Becker, T.
d429edb7-411d-4cf9-aaf2-de2231d8a350
White, P.R.
2dd2477b-5aa9-42e2-9d19-0806d994eaba
Becker, T.
d429edb7-411d-4cf9-aaf2-de2231d8a350
White, P.R.
2dd2477b-5aa9-42e2-9d19-0806d994eaba

Becker, T. and White, P.R. (2006) Independent component analysis using Gaussian mixture models. Seventh International Conference on Mathematics in Signal Processing, Cirencester, UK. 18 - 20 Dec 2006. 4 pp .

Record type: Conference or Workshop Item (Paper)

Abstract

This paper discusses a method for performing independent component analysis exploiting Gaussian mixture models (GMMs). Previously most techniques that combine these method shave used GMMs to model the source signals. This paper considers a parsimonious method for modelling the observed signals. The GMM is fitted to the observed data using a modified version of the expectation maximisation algorithm.

This record has no associated files available for download.

More information

Published date: 2006
Venue - Dates: Seventh International Conference on Mathematics in Signal Processing, Cirencester, UK, 2006-12-18 - 2006-12-20

Identifiers

Local EPrints ID: 43531
URI: http://eprints.soton.ac.uk/id/eprint/43531
PURE UUID: 172826fd-fc40-4e57-ae69-b9f3e4ba61d6
ORCID for P.R. White: ORCID iD orcid.org/0000-0002-4787-8713

Catalogue record

Date deposited: 09 Feb 2007
Last modified: 11 Jul 2024 01:33

Export record

Contributors

Author: T. Becker
Author: P.R. White ORCID iD

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

Library staff additional information
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 http://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.

×