Symmetric Radial Basis Function Network Equaliser
Symmetric Radial Basis Function Network Equaliser
The paper investigates nonlinear equalisation using a novel symmetric radial basis function (RBF) network. By explicitly exploiting the inherently symmetric structure of the optimal Bayesian equaliser, the proposed symmetric RBF equaliser can be determined from the received noisy training data. Both a block-data based and a sample-by-sample adaptive algorithm are designed for this novel symmetric RBF equaliser. Simulation results are also provided to demonstrate the efficiency of the proposed symmetric RBF network equaliser.
5 pages
Chen, S.
9310a111-f79a-48b8-98c7-383ca93cbb80
Wolfgang, A.
e87811dd-7028-4ac3-90cc-62003ff22202
Benedetto, S.
0bf4e6f7-082a-4ffc-9d4e-279e406962d6
Dubamet, P.
7ebaa577-a57b-468c-880f-905e4c2b5afe
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
2006
Chen, S.
9310a111-f79a-48b8-98c7-383ca93cbb80
Wolfgang, A.
e87811dd-7028-4ac3-90cc-62003ff22202
Benedetto, S.
0bf4e6f7-082a-4ffc-9d4e-279e406962d6
Dubamet, P.
7ebaa577-a57b-468c-880f-905e4c2b5afe
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Chen, S., Wolfgang, A., Benedetto, S., Dubamet, P. and Hanzo, L.
(2006)
Symmetric Radial Basis Function Network Equaliser.
NEWCOM-ACoRN Joint Workshop, Vienna, Austria.
20 - 22 Sep 2006.
.
Record type:
Conference or Workshop Item
(Other)
Abstract
The paper investigates nonlinear equalisation using a novel symmetric radial basis function (RBF) network. By explicitly exploiting the inherently symmetric structure of the optimal Bayesian equaliser, the proposed symmetric RBF equaliser can be determined from the received noisy training data. Both a block-data based and a sample-by-sample adaptive algorithm are designed for this novel symmetric RBF equaliser. Simulation results are also provided to demonstrate the efficiency of the proposed symmetric RBF network equaliser.
Text
chen-wolfgang-benedetto-du.pdf
- Other
Text
ncacJW06P.pdf
- Other
More information
Published date: 2006
Additional Information:
Event Dates: 20-22 September 2006
Venue - Dates:
NEWCOM-ACoRN Joint Workshop, Vienna, Austria, 2006-09-20 - 2006-09-22
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 263013
URI: http://eprints.soton.ac.uk/id/eprint/263013
PURE UUID: 1c769630-3adf-4c05-a180-47debb14f6f5
Catalogue record
Date deposited: 25 Sep 2006
Last modified: 18 Mar 2024 02:34
Export record
Contributors
Author:
S. Chen
Author:
A. Wolfgang
Author:
S. Benedetto
Author:
P. Dubamet
Author:
L. Hanzo
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