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Near infrared (NIR) spectroscopy, combined with multivariate calibration method, is a very important issue for qualitative and quantitative application. In pursuit of this aim, a new hybrid algorithm (PSO-WPLS) was proposed for multivariate regression model development. At first, wavelet packet transform (WPT) algorithm and its reconstruction algorithm are used to split the collected spectra into...
A new algorithm (WFCE) was proposed for simultaneously eliminating background and noise based on wavelet packet transform (WPT) and information entropy theory. At first, WPT algorithm and reconstruction algorithm were employed to split the raw spectra into different frequency components. Then the information entropy of each frequency component was calculated, showing the uncertainty to the measured...
A new hybrid algorithm (MIE-WPTOSC), which is the combination of wavelet packet transform (WPT), orthogonal signal correction (OSC) and maximum information extraction (MIE), is proposed for interferences elimination in near-infrared (NIR) spectra. In MIE-WPTOSC algorithm, WPT is firstly employed for de-noising by threshold method, and then MIE is applied to remove the baseline of the spectra based...
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