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. Twoprograms, 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
出处
《冶金分析》
CAS
CSCD
北大核心
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)
