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- W2375433461 abstract "To correctly classify low probability of intercept(LPI) radar signals,a novel method was presented based on time frequency analysis,image processing and neural network.First,LPI radar signals were analyzed in time frequency domain and their time frequency images were obtained.Then,the time frequency images were pre-processed by image processing method.Finally,the images were used to train a RBF neural network for automatic identification and classification of the LPI radar signals.The experiments show that the correct identification rate of the method comes to 92% when the signal-to-noise ration(SNR) is above 3dB." @default.
- W2375433461 created "2016-06-24" @default.
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- W2375433461 date "2011-01-01" @default.
- W2375433461 modified "2023-10-12" @default.
- W2375433461 title "Modulation Identification of LPI Radar Signals Based on Time Frequency Image and Neural Network" @default.
- W2375433461 hasPublicationYear "2011" @default.
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