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- W2364465095 abstract "A denoising method based on wavelet entropy is presented to solve the problem of low SNR in detecting magnetic anomaly signal of the hidden ferromagnetic objects.The key in extracting weak magnetic anomaly signal with wavelet transform is to determine the threshold of wavelet coefficients.Therefore,the concept of wavelet entropy and a coefficient that reflects the characteristic of signal energy distribution is introduced to determine the threshold,afterwards,the soft-threshold method is used to estimate the threshold of high-frequency coefficients.The proposed method is verified by simulation on computer.The results show that this method is effective to improve the SNR and recover the original signal." @default.
- W2364465095 created "2016-06-24" @default.
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- W2364465095 date "2013-01-01" @default.
- W2364465095 modified "2023-09-23" @default.
- W2364465095 title "Denoising of weak magnetic anomaly signal based on wavelet entropy" @default.
- W2364465095 hasPublicationYear "2013" @default.
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