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- W2379243485 abstract "It is important to distinguish shock N-wave from explosive noise in recognizing different supersonic targets.A recognition technique of shock N-wave was proposed in this paper.By experimental test for 5.56mm,7.62mm,12.7mm projectiles and TNT explosion,original data were obtained and then feature extraction was carried out.We employed principal component analysis(PCA) to compress data set of original feature variables and method of support vector machine(SVM) to learn and train data set.Results show that the recognition approach employed in this paper is feasible and effective." @default.
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- W2379243485 date "2009-01-01" @default.
- W2379243485 modified "2023-09-26" @default.
- W2379243485 title "Recognition Technique of Shock N-wave Based on Support Vector Machine(SVM)" @default.
- W2379243485 hasPublicationYear "2009" @default.
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