摘要
针对实际的激光多普勒测速信号中混有大量的噪声信号,难以找到所需要的多普勒频移的问题,提出了一种小波包全局阈值消噪方法,并在MATLAB中运用此方法对多普勒测速信号进行处理。根据多普勒信号的特点,通过对小波包分解尺度的选取、阈值估计方法的对比和对阈值thr的调整,可以快速有效地消除信号中的噪声信号,提高信噪比,得到有用信号。
The actual laser Doppler velocimetry signal mixed up much noise, so it was difficult to find the required Doppler frequency shift. In this paper, a wavelet packet global threshold de-noising method was proposed to solve this problem, which was also used to process Doppler velocimetry signal in MATLAB. According to the characteristics of the Doppler signal, through the selection of wavelet packet decomposition scale, the comparison of threshold estimation methods and the adjustment of threshold thr, the developed method could quickly and effectively eliminate the noise signal, improve the SNR and obtain useful signals.
出处
《山东科学》
CAS
2017年第6期71-78,共8页
Shandong Science
关键词
多普勒频移
全局阈值消噪
分解尺度
信噪比
Doppler frequency shift
global threshold de-noising
decomposition scale
SNR
