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Denoising Method for Shear Probe Signal Based on Wavelet Thresholding 被引量:2

Denoising Method for Shear Probe Signal Based on Wavelet Thresholding
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摘要 Shear probe works under a tough environment where the turbulence signals to be measured are very weak. The measured turbulence signals often contain a large amount of noise. Due to wide frequency band, noise signals cannot be effectively removed by traditional methods based on Fourier transform. In this paper, a wavelet thresholding denoising method is proposed for turbulence signal processing in that wavelet analysis can be used for multi-resolution analysis and can extract local characteristics of the signals in both time and frequency domains. Turbulence signal denoising process is modeled based on the wavelet theory and characteristics of the turbulence signal. The threshold and decomposition level, as well as the procedure of the turbulence signal denoising, are determined using the wavelet thresholding method. The proposed wavelet thresholding method was validated by turbulence signal denoising of the Western Pacific Ocean trial data. The results show that the propsed method can reduce the noise in the measured signals by shear probes, and the frequency spectrums of the denoised signal correspond well to the Nasmyth spectrum. Shear probe works under a tough environment where the turbulence signals to be measured are very weak. The measured turbulence signals often contain a large amount of noise. Due to wide frequency band, noise signals cannot be effectively removed by traditional methods based on Fourier transform. In this paper, a wavelet thresholding denoising method is proposed for turbulence signal processing in that wavelet analysis can be used for multi-resolution analysis and can extract local characteristics of the signals in both time and frequency domains. Turbulence signal denoising process is modeled based on the wavelet theory and characteristics of the turbulence signal. The threshold and decomposition level, as well as the procedure of the turbulence signal denoising, are determined using the wavelet thresholding method. The proposed wavelet thresholding method was validated by turbulence signal denoising of the Western Pacific Ocean trial data. The results show that the propsed method can reduce the noise in the measured sig- nals by shear probes, and the frequency spectrums of the denoised signal correspond well to the Nasmyth spectrum.
出处 《Transactions of Tianjin University》 EI CAS 2012年第2期135-140,共6页 天津大学学报(英文版)
基金 Supported by National Natural Science Foundation of China (No. 50835006 and No. 51005161) National High-Tech R&D Program ("863"Program) of China (No. 2010AA09Z102)
关键词 wavelet analysis THRESHOLD shear probe signal processing 小波阈值法 噪声信号 去噪方法 探针 多分辨率分析 测量信号 信号去噪 信号频谱
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参考文献10

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