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- W2360069407 abstract "To deal with the limitations in feature extraction of an underwater target based on traditional time-frequency analytical methods,a new method based on empirical mode decomposition and Wigner-Ville distribution( WVD) is adopted to extract the highlight features of small underwater targets. Multiple-component signal can be decomposed into a collection of single component signals,which can not only restrain the severe cross-term interference in WVD method caused by multiple-component signals,but also solve the problem that HHT spectrum can be influenced by noise. Simulation analysis and experiment results have affirmed the effectivity of the method. Echo waves of three different target models are analyzed by feature extraction,and each gets a different conclusion. Echo waves of the regular mine models are mainly composed of specular reflection. Echo waves' superposition of the irregular mine models widens the frequency band. And echo waves of false target are caused by several signals' nonlinear superposition,which widen the time-frequency feature distribution and make the highlight extraction harder." @default.
- W2360069407 created "2016-06-24" @default.
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- W2360069407 date "2013-01-01" @default.
- W2360069407 modified "2023-09-26" @default.
- W2360069407 title "Underwater target feature extraction using empirical mode decomposition and WVD method" @default.
- W2360069407 hasPublicationYear "2013" @default.
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