The University of Southampton
University of Southampton Institutional Repository

Approximating the Bayesian decision boundary for channel equalisation using subset radial basis function network

Approximating the Bayesian decision boundary for channel equalisation using subset radial basis function network
Approximating the Bayesian decision boundary for channel equalisation using subset radial basis function network
151-155
Kluwer Acedemic Publishers
Chng, E.S.
9b54c315-4e65-4fcd-94eb-3cce6dedfd6b
Mulgrew, B.
95a3fbda-7de2-4583-b1f2-0a54a69b414a
Chen, S.
ac405529-3375-471a-8257-bda5c0d10e53
Gibson, G.
f4897d59-a729-4a88-94c5-9588cfe803ed
Ellacott, S.W.
Mason, J.C.
Anderson, I.
Chng, E.S.
9b54c315-4e65-4fcd-94eb-3cce6dedfd6b
Mulgrew, B.
95a3fbda-7de2-4583-b1f2-0a54a69b414a
Chen, S.
ac405529-3375-471a-8257-bda5c0d10e53
Gibson, G.
f4897d59-a729-4a88-94c5-9588cfe803ed
Ellacott, S.W.
Mason, J.C.
Anderson, I.

Chng, E.S., Mulgrew, B., Chen, S. and Gibson, G. (1996) Approximating the Bayesian decision boundary for channel equalisation using subset radial basis function network. In, Ellacott, S.W., Mason, J.C. and Anderson, I. (eds.) Mathematics of Neural Networks: Models, Algorithms and Applications. Kluwer Acedemic Publishers, pp. 151-155.

Record type: Book Section
Postscript
manna_revised.ps - Other
Download (211kB)
PDF
manna_revised.pdf - Other
Download (154kB)

More information

Published date: 1996
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 257434
URI: https://eprints.soton.ac.uk/id/eprint/257434
PURE UUID: 6597c11d-07bc-4797-92f7-168698f78cfe

Catalogue record

Date deposited: 12 May 2003
Last modified: 18 Jul 2017 09:38

Export record

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.

×