摘要
根据喇曼散射信号的特点,结合小波多分辨率分析的优点,提出了应用小波理论消除噪声的方法。针对小波去噪方法在分布式温度测量系统中的具体实现进行了研究,根据相应的原则,确定使用Haar小波函数和小波分解层数为6层。并采用将高频细节系数置零的方法,用Matlab对上述方法进行了仿真,仿真结果表明,这种方法能够去除高频噪声,达到去除噪声的目的。如果再对得到的数据进行有限次累加和温度定标,就可以实时得到整个温度场的温度值。
Based on characteristics of Raman scattering and the signals feature, this paper proposed a project using wavelets principle that can removed the noise, increased the practical performance of this system. Then, this paper discussed how to selected proper wavelet function and how to determine reasonable wavelet decomposition levels for the sake of realization of wavelet denoising, and using matlab to simulate the methods introduced above, the result of simulation shows that wavelet denoising is effective, the method can reduce high frequency noise. If the former result is deposed we can get the temperature of the whole field.
出处
《青岛大学学报（工程技术版）》
CAS
2005年第3期71-75,共5页
Journal of Qingdao University(Engineering & Technology Edition)
关键词
分布式测温
喇曼散射
小波去噪
distributed temperature measurement
raman scattering
wavelets denoising
