Tian GY, Yuan HF, Chu XL, Liu HY, Lu WZ. [Near infrared spectra (NIR) analysis of octane number by wavelet denoising-derivative method].
GUANG PU XUE YU GUANG PU FEN XI = GUANG PU 2005;
61:1271-8. [PMID:
16097674 DOI:
10.1016/j.saa.2004.06.052]
[Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2004] [Accepted: 06/23/2004] [Indexed: 05/24/2023]
Abstract
Derivative can correct baseline effects and also increase the level of noise. Wavelet transform has been proven an efficient tool for de-noising. This paper is directed to the application of wavelet transfer and derivative in the NIR analysis of octane number (RON). The derivative parameters, as well as their effects on the noise level and analytic accuracy of RON, have been studied in detail. The results show that derivative can correct the baseline effects and increase the analytic accuracy. Noise from the derivative spectra has great detriment to the analysis of RON. De-noising of wavelet transform can increase the S/N and improve the analytical accuracy.
Collapse