A new computing multivariate spectral analysis method based on wavelet transform
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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.
Key wordsspectral analysis wavelet transform multivariate calibration chemometrics PCRW
CLC numberO652.9 O657
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