A GAN noise modeling based blind denoising method for guided waves

Measurement(2022)

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摘要
•The combination of GAN and AE for signal denoising is a novel idea.•Double sliding window estimate method is used to extract the noise block in the signal.•LSGAN is used to learn the distribution features of noise and generate training samples.•The SNR and the degree of restoration of signal features are used to evaluate the denoising effect.
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关键词
Guided waves,Generative adversarial network,Denoising autoencoder,Prior information,non-Gaussian features
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