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- W2390336794 abstract "Underwater targets identification, which possesses a crucial application value to state economy and defense, is a very important topic in advanced country. Ship radiated noises include a lot of linespectrums, which are valuable for targets identification, therefore it becomes an important approach in the studies of underwater acoustics. Based on the algorithm of extracting ship radiated-noise's linespectrums, we extract the linespectrums of thousands of stylebooks in many operating conditions. In accordance with the particularity of the distributions of ship radiated-noise's linespectrums, two new methods, which are filtration and fuzzy reasoning classification, are presented respectively. Experiment results show that both methods are feasible and effective." @default.
- W2390336794 created "2016-06-24" @default.
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- W2390336794 date "2000-01-01" @default.
- W2390336794 modified "2023-09-23" @default.
- W2390336794 title "A Simulation Experiment of Underwater Targets Identification Based on Linespectrum Features" @default.
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