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臍橙VC含量近紅外光譜消噪小波優(yōu)
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Optimization for Near-infrared Spectra Denoising of Vitamin C Content of Umbilical Orange
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    摘要:

    運(yùn)用db1～db10等10個(gè)小波基4尺度分解對120個(gè)贛州臍橙樣品的近紅外光譜進(jìn)行消噪處理，分別建立了各種小波消噪光譜的臍橙維生素C(VC)含量的PLS模型。通過PLS模型預(yù)測精度比較表明：所有db小波基變換都能有效消除臍橙VC近紅外光譜噪聲，PLS模型預(yù)測精度均高于不處理光譜建立的模型預(yù)測精度。其中，消噪效果最好的小波基是db5，模型預(yù)測值與實(shí)測值的相關(guān)系數(shù)R達(dá)到0.9427、內(nèi)部交叉驗(yàn)證均方差RMSECV僅為2.02mg/(100g)。因此，對臍橙VC含量近紅外光譜消噪預(yù)處理的最優(yōu)小波基是

    Abstract:

    db5小波。By using db1～db10 (10 in total) wavelet transform with the decomposing level of 4, the near-infrared spectra (NIRS) signals obtained from 120 umbilical orange samples were denoised, the PLS models of vitamin C (VC) content were established by each wavelet base. Through comparing the prediction accuracy of PLS models, it shows that all db wavelet transform can eliminate the noise in VC NIRS effectively, the prediction accuracy of PLS models are higher than models not being treated. When the wavelet was db5, the best prediction effect was obtained, with the correlation coefficient R between the prediction and true values being 0.9427 and the expected variance RMSECV being as low as 2.02mg/(100g). In conclusion, the db5 is the best wavelet for NIRS denoising of VC content in umbilical orange.

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夏俊芳,李小昱.臍橙VC含量近紅外光譜消噪小波優(yōu)[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2009,40(4):143-146. Optimization for Near-infrared Spectra Denoising of Vitamin C Content of Umbilical Orange[J]. Transactions of the Chinese Society for Agricultural Machinery,2009,40(4):143-146.

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