小波分析在激光多普勒信号检测中的应用

Application of Wavelet Analysis in Laser Doppler Signal Detection

为了有效的消除人体激光多普勒信号的噪声,提出了一种利用小波变换的方法对信号进行处理。通过研究多尺度小波变换和小波包变换的工作原理和消噪流程,利用Matlab对实际信号分别进行强制消噪、默认阈值消噪、给定软阈值消噪仿真,仿真结果表明,两种小波变换方法均可以有效地消除信号中的噪声,提高信噪比,适用于背景噪声强的人体信号的提取,并可推广到其他强噪声环境下对微弱信号进行提取,具有广泛的应用价值和现实意义。

To eliminate the noise of laser Doppler signals in human effectively,a method of using wavelet transform for signal processing is proposed.Basic theory and work flow of multi-scale wavelet transform and wavelet packet method are studied,and the actual signal is simulated through default threshold denoising,compulsive threshold denoising and given threshold denoising by Matlab separately.The results show that the two methods are effective for eliminatiing the noise and improving the signal-to-noise ratio,which can extract the human signal from strong background noise,and can be popularized to other weak signal extraction,and has wide application value and practical significance.