Resolution of multicomponent chromatograms by window factor analysis with wavelet transform preprocessing

The resolution and quantitative determination of multicomponent chromatograms with noise were investigated using wavelet transform and window factor analysis (WFA). It was proved that wavelet transform is a very powerful technique for noise filtering and that quantitative results by WFA can be greatly improved for a noisy chromatographic data matrix by wavelet transform preprocessing. © 1998 John Wiley & Sons, Ltd.