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The selection of nonzero taps for sparse linear equalizer under the criterion of minimum mean square error (MMSE) is investigated. In some applications such as underwater acoustic communications, the computational resource in terms of the number of nonzero channel taps is given in existing channel equalizers. In this context, the joint determination of positions and weights of nonzero taps of sparse...
The presence of fewer samples and large number of input features increases the complexity of the classifier and degrades the stability. Thus, dimension reduction was always carried before supervised learning algorithms such as neural network. This two-stage framework is somewhat redundant in dimension reduction and network training. This paper proposes a novel one-stage learning algorithm for high-dimension...
Linear discriminant analysis (LDA) is a popular feature extraction method that has aroused considerable interests in computer vision and pattern recognition fields. The projection vectors of LDA is usually achieved by maximizing the between-class scatter and simultaneously minimizing the within-class scatter of the data set. However, in practice, there is usually a lack of sufficient labeled data,...
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