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In order to overcome the robustness of low altitude passive acoustic target recognition, the manifold learning was originally introduced to the feature extraction of acoustic targets. Based on the classical algorithm of manifold learning, the paper studied and discussed the low dimensional manifold in the frequency-domain of acoustic signals. This method was applied to acoustic target recognition...
This paper proposes a new supervised manifold learning algorithm called locality preserving discriminant projections (LPDP) to solve the problem of poor robustness in acoustic targets recognition. The algorithm is based on locality preserving projections (LPP) and the method called modified maximum margin criterion (MMMC) which is adopted to explore the optimal linear transformation for translation...
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