The relevance vector machine technique for channel equalization application
Sheng Chen, S. Richard Gunn, Chris J. Harris · IEEE Transactions on Neural Networks · 2001
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.