Feature discriminability improve methods for classification

Abstract

To improve the weak discriminability of the feature vector for underwater acoustic classification, a new methods of feature differentiation optimization was proposed in this paper. By mapping the feature vectors to transform space, we can enhance the differentiation. Data processing results proved the advantage of higher classification correct ratio and feature vector dimension reduction of the promoted method.