Noise reduction for desert seismic data using spectral kurtosis adaptive bandpass filter

• Autorzy: Ma Haitao , Qian Zebin , Li Yue , Lin Hongbo , Shao Dan , Yang Baojun

Identyfikatory

DOI

10.1007/s11600-018-0232-0

• Języki publikacji: EN

Abstrakty

EN

In view of the heterogeneity and week similarity of random noise in the desert seismic exploration, and lots of random noise focused on low frequency, the traditional bandpass filter and wavelet transform are used to separate the signal and noise. Although there are some denoising effects, the noise cannot be suppressed well, and effective signal is damaged to some extent. Because of the above shortcomings, we propose a bandpass filter denoising method based on spectral kurtosis in this paper. This method is based on the signal and the random noise’s energy distribution characteristics in the frequency domain. First, through short-time Fourier transform (STFT), the spectral kurtosis of noisy signals is obtained. Second, we design a new threshold by the obtained spectral kurtosis, the value of spectral kurtosis greater than the threshold is preserved, and the spectral kurtosis less than the threshold is set to 0. So, the method realises the adaptive choice of the filter passband, getting an adaptive bandpass filter. At the same time, the noise can be suppressed to a greater extent while the effective signal is retained very well. The noise removal results of synthetic data and actual data show that the proposed method has very good denoising performance and amplitude preserving capability.

Słowa kluczowe

EN

desert noise; spectral kurtosis; STFT; band-pass filter

PL

hałas pustyni; kurtoza widmowa; STFT; filtr pasmowy

• Wydawca: Instytut Geofizyki PAN ; Springer
• Czasopismo: Acta Geophysica
• Rocznik: 2019
• Tom: Vol. 67, no. 1
• Strony: 123--131
• Opis fizyczny: Bibliogr. 18 poz.

Twórcy

autor

Ma Haitao

• College of Communication Engineering, Jilin University, No.5372 Nanhu Road, Changchun 130012, Jilin, China

autor

Qian Zebin

• College of Communication Engineering, Jilin University, No.5372 Nanhu Road, Changchun 130012, Jilin, China

autor

Li Yue

• College of Communication Engineering, Jilin University, No.5372 Nanhu Road, Changchun 130012, Jilin, China

autor

Lin Hongbo

• College of Communication Engineering, Jilin University, No.5372 Nanhu Road, Changchun 130012, Jilin, China

autor

Shao Dan

• College of Communication Engineering, Jilin University, No.5372 Nanhu Road, Changchun 130012, Jilin, China

autor

Yang Baojun

• College of Communication Engineering, Jilin University, No.5372 Nanhu Road, Changchun 130012, Jilin, China

Bibliografia

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).