The University of Southampton
University of Southampton Institutional Repository

Exploitation of higher order statistics to compute bubble cloud densities: evading Olber's paradox

Exploitation of higher order statistics to compute bubble cloud densities: evading Olber's paradox
Exploitation of higher order statistics to compute bubble cloud densities: evading Olber's paradox
223-228
European Conference on Underwater Acoustics
White, P.R.
2dd2477b-5aa9-42e2-9d19-0806d994eaba
Leighton, T.G.
3e5262ce-1d7d-42eb-b013-fcc5c286bbae
Yim, G.T.
753fd5c8-f9a6-4619-bd8d-8589760cf5f6
White, P.R.
2dd2477b-5aa9-42e2-9d19-0806d994eaba
Leighton, T.G.
3e5262ce-1d7d-42eb-b013-fcc5c286bbae
Yim, G.T.
753fd5c8-f9a6-4619-bd8d-8589760cf5f6

White, P.R., Leighton, T.G. and Yim, G.T. (2004) Exploitation of higher order statistics to compute bubble cloud densities: evading Olber's paradox. In Proceedings of the 7th European Conference on Underwater Acoustics. European Conference on Underwater Acoustics. pp. 223-228 .

Record type: Conference or Workshop Item (Paper)

This record has no associated files available for download.

More information

Published date: 2004
Venue - Dates: Proceedings of the Seventh European Conference on Underwater Acoustics, Delft, Holland, 2004-07-05 - 2004-07-08

Identifiers

Local EPrints ID: 28257
URI: http://eprints.soton.ac.uk/id/eprint/28257
PURE UUID: 49bff4af-11a6-414d-bd9b-28203c81de10
ORCID for P.R. White: ORCID iD orcid.org/0000-0002-4787-8713
ORCID for T.G. Leighton: ORCID iD orcid.org/0000-0002-1649-8750

Catalogue record

Date deposited: 02 May 2006
Last modified: 05 Jan 2024 02:34

Export record

Contributors

Author: P.R. White ORCID iD
Author: T.G. Leighton ORCID iD
Author: G.T. Yim

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 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.

×