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Journal of Zhejiang University SCIENCE A 2000 Vol.1 No.1 P.15-19

http://doi.org/10.1631/jzus.2000.0015


A NEW COMPUTING MULTIVARIATE SPECTRAL ANALYSIS METHOD BASED ON WAVELET TRANSFORM


Author(s):  CHENG Yi-yu, CHEN Min-jun

Affiliation(s):  Dept.of Chemical Engineering, Yuquan Campus of Zhejiang University, Hangzhou, 310027, China

Corresponding email(s): 

Key Words:  spectral analysis, wavelet transform, multivariate calibration, chemometrics, PCRW


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CHENG Yi-yu, CHEN Min-jun. A NEW COMPUTING MULTIVARIATE SPECTRAL ANALYSIS METHOD BASED ON WAVELET TRANSFORM[J]. Journal of Zhejiang University Science A, 2000, 1(1): 15-19.

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Abstract: 
This paper proposes a new algorithm for multivariate calibration named Principal Component Regression Based on Wavelet (PCRW) which combines wavelet decomposition technique with the factor analysis method for establishing a duplicate denoising mechanism. A practical example in spectral analysis of a typical multicomponent pharmaceutical system was used to verify the effectiveness of the algorithm. It was shown that PCRW produced fewer prediction errors than those obtained by using PCR.

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Reference

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