The University of Southampton
University of Southampton Institutional Repository

Comparison of listener-centric sound field reproduction methods in a convex optimization framework

Comparison of listener-centric sound field reproduction methods in a convex optimization framework
Comparison of listener-centric sound field reproduction methods in a convex optimization framework
Franck, Andreas
fa179b73-6a83-4c42-b300-81f1dfe9ef6d
Fazi, Filippo
e5aefc08-ab45-47c1-ad69-c3f12d07d807
Franck, Andreas
fa179b73-6a83-4c42-b300-81f1dfe9ef6d
Fazi, Filippo
e5aefc08-ab45-47c1-ad69-c3f12d07d807

Franck, Andreas and Fazi, Filippo (2016) Comparison of listener-centric sound field reproduction methods in a convex optimization framework. 2016 AES International Conference on Sound Field Control, Guildford, Guildford, United Kingdom. 18 - 20 Jul 2016. 10 pp .

Record type: Conference or Workshop Item (Paper)
Text
__soton.ac.uk_ude_personalfiles_users_sjh2_mydesktop_Eprints_aes_sfc_2016_conv_opt_framework.pdf - Version of Record
Restricted to Repository staff only
Request a copy

More information

e-pub ahead of print date: 18 July 2016
Venue - Dates: 2016 AES International Conference on Sound Field Control, Guildford, Guildford, United Kingdom, 2016-07-18 - 2016-07-20
Organisations: Acoustics Group

Identifiers

Local EPrints ID: 398340
URI: http://eprints.soton.ac.uk/id/eprint/398340
PURE UUID: d1fa52e0-80b3-4b38-b4f3-47958a1410ee
ORCID for Andreas Franck: ORCID iD orcid.org/0000-0002-4707-6710
ORCID for Filippo Fazi: ORCID iD orcid.org/0000-0003-4129-1433

Catalogue record

Date deposited: 25 Jul 2016 12:32
Last modified: 13 Jun 2024 01:46

Export record

Contributors

Author: Andreas Franck ORCID iD
Author: Filippo Fazi 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

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.

×