title: [FTIR spectral fitting algorithm based on continuous wavelet transform].
abstract: An FTIR spectrum fitting algorithm based on continuous wavelet transform is proposed. In calculating the factor of difference spectrum, the algorithm takes into account both the original spectrum and its continuous wavelet transformed spectra, which effectively overcomes the problem of reference peak selection and manual factor selection in most commercial software. The detailed discussions on wavelet scale, order and basis are included. The spectral fitting is performed on six wavelet basis functions and the obtained scale factor is used to quantify the content of liquor, and the corresponding mean absolute error ranges from 0.047 to 0.072, and the standard deviation ranges from 0.056 to 0.091. Experimental results show that the CWT combined with least squares fitting provides an accurate and reliable new method for FTIR spectral subtraction.
authors.affiliation: School of Management Science & Engineering, Nanjing University of Finance & Economics, Nanjing 210046, China. an.jiang@ia.ac.cn
authors.forename: An
authors.initials: A
authors.lastname: Jiang
authors.forename: Jiang-Tao
authors.initials: JT
authors.lastname: Peng
authors.forename: Huai-Song
authors.initials: HS
authors.lastname: Wang
authors.forename: Si-Long
authors.initials: SL
authors.lastname: Peng
authors.forename: Qi-Wei
authors.initials: QW
authors.lastname: Xie