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利用MSP430芯片实现小波变换对涡街信号的去噪测量 被引量:2
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作者 黄丹 陈昕 周康源 《数据采集与处理》 CSCD 2004年第1期37-40,共4页
利用 Mallat算法对涡街信号进行多分辨率分析和去噪 ,相对于传统滤波器组的直接分解 ,具有品质因数恒定、运算量小、分解尺度可灵活变化的优点 ,且去噪效果好。利用 MSP43 0单片机进行实现 ,完成涡街信号检测的整个系统功能 ,达到了功... 利用 Mallat算法对涡街信号进行多分辨率分析和去噪 ,相对于传统滤波器组的直接分解 ,具有品质因数恒定、运算量小、分解尺度可灵活变化的优点 ,且去噪效果好。利用 MSP43 0单片机进行实现 ,完成涡街信号检测的整个系统功能 ,达到了功耗要求低、可利用工业现场 4~ 2 0 m A电流环直接驱动以及滤波效果满意的目的。 展开更多
关键词 涡街流量计 小波变换 涡街信号 MSP430芯片 去噪测量 单片机 MALLAT算法
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Denoising Method for Shear Probe Signal Based on Wavelet Thresholding 被引量:2
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作者 王树新 肖学忠 +2 位作者 王延辉 王子龙 陈宝阔 《Transactions of Tianjin University》 EI CAS 2012年第2期135-140,共6页
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 c... 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. 展开更多
关键词 wavelet analysis THRESHOLD shear probe signal processing
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