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ＩＮＴＲＯＤＵＣＴＩＯＮＳｐｅｃｔｒｏｓｃｏｐｉｃｍｅｔｈｏｄｓａｒｅｉｎｃｒｅａｓｉｎｇｌｙｂｅｉｎｇｅｍｐｌｏｙｅｄｆｏｒｑｕａｎｔｉｔａｔｉｖｅａｐｐｌｉｃａｔｉｏｎｉｎｃｈｅｍ ｉｓｔｒｙ,ｂｉｏｌｏｇｙａｎｄｍｅｄｉｃｉｎｅ .Ｗｈｉｌｅａｄｖａｎｃｅｓｉｎｉｎｓｔｒｕｍｅｎｔａｔｉｏｎｂｒｉｎｇｉｎｃｒｅａｓｅｄｒｅｓｏｌｕｔｉｏｎａｎｄｓｅｎｓｉｔｉｖｉｔｙ ,ｔｈｅｍｕｌｔｉｖａｒｉａｔｅｃａｌｉｂｒａｔｉｏｎｍｏｄｅｌｓａｓｓｔａｔｉｓｔｉｃａｌｔｏｏｌｓｈａｖｅａｌｓｏｂｅｅｎｓｈ… 相似文献
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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.
Project (39870940) supported by NSFC. 相似文献
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