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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kedi Hu Pengcheng Wang Xiaojing Chen |
| Copyright Year | 2011 |
| Description | Author affiliation: College of Physics and Electronic Information engineering, Wenzhou University, Chashan University Town, Zhejiang Province 325035, China (Kedi Hu; Pengcheng Wang; Xiaojing Chen) |
| Abstract | In order to avoid selecting decomposition level for quantitative calibration of near infrared spectra in discrete wavelet transform empirically or semi-empirically, a scheme which can be selected optimal decomposition level was proposed. In this scheme, the raw spectral was decomposed by wavelet transform, the approximation coefficients of each decomposition level as input set for partial least square (PLS) to built calibration model, root mean square error of validation (RMSEV) was employed as objective function to find the optimal decomposition level using the validation set, and the approximation coefficients which obtained lowest RMSEV is the optimal decomposition level. The proposed method was demonstrated in determination of moisture in wheat by near infrared spectroscopy. |
| Starting Page | 2331 |
| Ending Page | 2334 |
| File Size | 352878 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424493043 |
| e-ISBN | 9781424493067 |
| DOI | 10.1109/CISP.2011.6100765 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-10-15 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Near infrared spectra wavelet transform Calibration Infrared spectra Discrete wavelet transforms Least squares approximation decomposition level |
| Content Type | Text |
| Resource Type | Article |
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