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Received: 1998-12-08
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A NEW COMPUTING MULTIVARIATE SPECTRAL ANALYSIS METHOD BASED ON WAVELET TRANSFORM
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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.
@article{title="A NEW COMPUTING MULTIVARIATE SPECTRAL ANALYSIS METHOD BASED ON WAVELET TRANSFORM",
author="CHENG Yi-yu, CHEN Min-jun",
journal="Journal of Zhejiang University Science A",
volume="1",
number="1",
pages="15-19",
year="2000",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2000.0015"
}
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A1 - CHEN Min-jun
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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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