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The relevance vector machine technique for channel equalization application

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3 Author(s)
Chen, S. ; Dept. of Electron. & Comput. Sci., Southampton Univ., UK ; Gunn, S.R. ; Harris, C.J.

The 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

Published in:
Neural Networks, IEEE Transactions on  (Volume:12 ,  Issue: 6 )

Date of Publication: Nov 2001

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