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- W959054001 abstract "For the realization of feature separability evaluation for advanced radar emitter signals (RES), the evaluation methods of feature separability of advanced radar emitter signals were proposed based on four kinds of measure. It reflects the within-class aggregation and class separation of the feature clustering through the maximum of within-class Euclidean distance, the sum of within-class Euclidean distance, the variance of within-class Euclidean distance and the sum of Euclidean distance between classes. The corresponding measures were calculated by using six typical advanced radar emitter signals. The results show that this method is effective and feasible, and can implement the feature separability evaluation for advanced radar emitter signals.KeywordsRadar emitter signalsFeature separabilityFeature evaluationEuclidean distance" @default.
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- W959054001 date "2012-01-01" @default.
- W959054001 modified "2023-09-25" @default.
- W959054001 title "Feature Separability Evaluation for Advanced Radar Emitter Signals" @default.
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- W959054001 doi "https://doi.org/10.1007/978-3-642-34396-4_25" @default.
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