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Block diagonalization (BD) is a famous conditional precoding algorithm in multi-input multi-output (MIMO) broadcast systems, vector perturbation (VP) and BD are combined which named as BD-VP for short and the receivers' complexity can be reduced by VP at the transmmiter. Furthermore, the performance of BD-VP in diversity is comparable because the maximum likehood (ML) method is involved. However,...
Non-negative matrix factorization (NMF) has been successfully applied to speech enhancement in non-stationary noisy environments. Recently proposed online semi-supervised NMF algorithms are of particular interest as they carry the two nice properties (online and semi-supervised) of classical speech enhancement approaches. These algorithms, however, have only been evaluated using noisy mixtures shorter...
In this paper, we consider a recently proposed supervised learning problem, called online multiclass prediction with bandit setting model. Aiming at learning from partial feedback of online classification results, i.e. ??true?? when the predicting label is right or ??false?? when the predicting label is wrong, this new kind of problems arouses much of researchers' interest due to its close relations...
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