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CLC number: O652.9, O657
On-line Access: 2024-08-27
Received: 2023-10-17
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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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%T A NEW COMPUTING MULTIVARIATE SPECTRAL ANALYSIS METHOD BASED ON WAVELET TRANSFORM
%A CHENG Yi-yu
%A CHEN Min-jun
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%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2000.0015
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T1 - A NEW COMPUTING MULTIVARIATE SPECTRAL ANALYSIS METHOD BASED ON WAVELET TRANSFORM
A1 - CHENG Yi-yu
A1 - CHEN Min-jun
J0 - Journal of Zhejiang University Science A
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EP - 19
%@ 1869-1951
Y1 - 2000
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.2000.0015
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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