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- W2379649745 abstract "The basic theory of adaptive filtering was introduced and the key technology and the algorithm of how to design adaptive digital filter based on BP neural network were elucidated.The neural network models of structure 1-4-1 were established.Creating,training and simulating of the network are explained in detail.According to this system,the Simulink model is established.Simulation results show that the self-adaptive filter that based on the BP neural network does not need the prior knowledge of the input and the noise and has better nonlinear mapping capability and the self-learning ability.The adaptive filter can eliminate noise effectively and improve signal-noise ratio(SNR) greatly." @default.
- W2379649745 created "2016-06-24" @default.
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- W2379649745 date "2009-01-01" @default.
- W2379649745 modified "2023-09-26" @default.
- W2379649745 title "Research on Adaptive Noise Removal Technique Based on BP Neural Network" @default.
- W2379649745 hasPublicationYear "2009" @default.
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