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The relevance vector machine technique for channel equalization application
1Dept. of Electron. and Comput. Sci., Southampton Univ.
IEEE Transactions on Neural Networks
|February 6, 2008
Abstract:
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.
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