Tobacco Science & Technology, 2004, 3, p. 31-4, ISSN.1002-0861
Application of wavelet transform and partial least square in prediction of common chemical compositions in tobacco samples
University of Science & Technology of China, Dept. of Chemistry, Hefei, China
In order to analyze tobacco samples with near infrared spectrum quickly, the data was compressed by wavelet transform (WT) and the model on the compressed data was developed by partial least square (PLS). In comparison with PLS algorithm, the WT-PLS...