小波阈值去噪算法在XRD图谱去噪中的应用  

An Improved Wavelet Threshold Denoising Algorithm for Analysing Signals in the XRD Spectrum

作　　者：牟丽 王海辉[1] 张育浩 

机构地区：[1]北京航空航天大学数学与系统科学学院,北京

出　　处：《应用数学进展》2015年第3期224-229,共6页Advances in Applied Mathematics

摘　　要：在已有的几种阈值函数的基础上,本文提出了一种新的阈值函数,新的阈值函数继承了已有的阈值函数的优点,不仅具有连续性,而且可以减少去噪误差。实验表明,该算法更能有效去除光谱中的噪声,利于光谱的定性和定量分析。In this paper, a new threshold function is put forward, which is based on the introduced wavelet threshold function. The new threshold function not only has the advantage of traditional ones but also is continuous. Experiments show that the denoising algorithm based on the new wavelet threshold function can remove the noise in the XRD spectrum more effectively and is more benefi-cial for qualitative and quantitative analysis.

关 键 词：阈值函数 去噪 XRD图谱 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]