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- W1969661735 abstract "It is important to remove the noise signal effectively in non-destructive testing. Using the wavelet and neural network algorithm, the author constructed self-adaptive wavelet neural networks in the ultrasonic testing. Better fitting signal is achieved by choosing Orthogonal Daubechies wavelet neuron and optimized scale parameter. The simulation results showed less distortion and better noise cancellation, and the method can be widely applied ton ultrasonic detecting." @default.
- W1969661735 created "2016-06-24" @default.
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- W1969661735 date "2009-08-01" @default.
- W1969661735 modified "2023-09-26" @default.
- W1969661735 title "Application of self-adaptive wavelet neural networks in ultrasonic detecting" @default.
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- W1969661735 doi "https://doi.org/10.1109/icasid.2009.5276998" @default.
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