小波包变换潜变量回归同时测定锰、锌、钴  

Simultaneous spectrophotometric determination of MnⅡ,ZnⅡ and CoⅡ by a wavelet packet transform latent variable regression

作　　者：高玲[1] 任守信[1] 

机构地区：[1]内蒙古大学化学化工学院,内蒙古呼和浩特010021

出　　处：《冶金分析》2003年第3期1-5,共5页Metallurgical Analysis

基　　金：国家自然科学基金资助项目(29965001);内蒙古自然科学基金资助项目(2002208020115)

摘　　要：研究了一种小波包变换潜变量回归(WPLVR)法,同时定量分析Mn ,Zn 和Co 。结合小波包变换和潜变量回归,改进除噪质量。通过最佳化,选择了小波函数和小波包分解水平(L)。设计了两个程序(PWPLVR和PFTLVR)并用WPLVR法和付立叶变换潜变量回归(FTLVR)法计算了合成样品中锰、锌、钴的实际浓度和回收率。实验结果表明WPLVR法是成功的且优于FTLVR法。A wavelet packet transform latent variable regression (WPLVR) method was developed to perform simultaneous quantitative analysis of Mn*', Zn*' and Co*'. Noise removal was improved by combining wavelet packet transform with latent variable regression (VLR). Wavelet function, wavelet packet decomposition levels(L) were selected by optimization. Twoprograms, PWPLVR and PFTLVR, were designed and WPLVR and fourier transform latent variable regression(FTLVR) were used to the calculation of actual concentration and recovery of Mn, Cu, Zn in synthetic sample Experimental results showed that the WPLVR method was successful and better than FTLVR

关 键 词：合成样品 小波包变换 潜变量回归 多组分同时分析 锰 锌 钴 付立叶变换 光谱分析 

分 类 号：TG115.3[金属学及工艺—物理冶金]