软门限去噪法在X射线能谱分析中的应用  

Application of Soft-Thresholding De-noising Method in X-ray Energy Dispersive Spectra

作　　者：余晓敏[1] 曾立波[1] 张泽兰[1] 周莹莉[1] 

机构地区：[1]武汉大学电子信息学院,武汉市430072

出　　处：《光谱实验室》2002年第6期731-735,共5页Chinese Journal of Spectroscopy Laboratory

摘　　要：从函数空间的剖分和理想滤波器组的角度分析了多分辨率信号的分解与重构 ,提出了一种 X射线能谱去噪的方法 ,即应用 Mallat算法对谱信号进行小波分解 ,然后应用一个非线性软门限函数在小波域内将噪声抑制和消除 ,最后重构得到去噪后的能谱。From the point of view of function space dissection and ideal filter bank, the decomposition and reconstruction of multi resolution signal are analyzed. A method of de noising of X ray energy spectrum is proposed. The first step of this method is decompose the spectrum signal with wavelet transform using Mallat algorithm.Secondly a thresholding nonlinearity is applied to wavelet coefficients to restrain and eliminate the noise in wavelet domain.Finally the working coefficients are recontructed to get de noised energy spectra. This method improves the results of spectral quantitative analysis.

关 键 词：软门限去噪法 X射线能谱分析 应用 多分辨分析 多采样率滤波器组 MALLAT算法 小波变换 信号处理 

分 类 号：O657.62[理学—分析化学] TN91[理学—化学]