The relevance vector machine technique for channel equalization application
The relevance vector machine technique for channel equalization application
The recently introduced relevance vector machine (RVM) technique is applied to communication channel equalization. It is demonstrated that the RVM equalizer can closely match the optimal performance of the Bayesian equalizer, with a much sparser kernel representation than that is achievable by the state-of-art support vector machine (SVM) technique.
1529-1532
Chen, S.
9310a111-f79a-48b8-98c7-383ca93cbb80
Gunn, S.R.
306af9b3-a7fa-4381-baf9-5d6a6ec89868
Harris, C.J.
c4fd3763-7b3f-4db1-9ca3-5501080f797a
November 2001
Chen, S.
9310a111-f79a-48b8-98c7-383ca93cbb80
Gunn, S.R.
306af9b3-a7fa-4381-baf9-5d6a6ec89868
Harris, C.J.
c4fd3763-7b3f-4db1-9ca3-5501080f797a
Chen, S., Gunn, S.R. and Harris, C.J.
(2001)
The relevance vector machine technique for channel equalization application.
IEEE Transactions on Neural Networks, 12 (6), .
Abstract
The recently introduced relevance vector machine (RVM) technique is applied to communication channel equalization. It is demonstrated that the RVM equalizer can closely match the optimal performance of the Bayesian equalizer, with a much sparser kernel representation than that is achievable by the state-of-art support vector machine (SVM) technique.
Text
00963792.pdf
- Other
More information
Published date: November 2001
Additional Information:
submitted for publication in April 2001, accepted June 2001, to appear Nov. 2001
Organisations:
Electronic & Software Systems, Southampton Wireless Group
Identifiers
Local EPrints ID: 254483
URI: http://eprints.soton.ac.uk/id/eprint/254483
PURE UUID: ed5c49d9-6e6a-42ce-8052-42aef4291639
Catalogue record
Date deposited: 15 Nov 2001
Last modified: 14 Mar 2024 05:33
Export record
Contributors
Author:
S. Chen
Author:
S.R. Gunn
Author:
C.J. Harris
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