Abstract: Integrated two-dimensional(2D) wavelet transform and subwindow factor analysis was used for the resolution of simulated HPLC-DAD data containing high level noise. At first, the 2D wavelet transform was performed for filtering the noise. Then, the subwindow factor analysis method was carried out for the resolution of the overlapping peaks. The results show that the noise can be filtered when S/N ratio is equal to 10.

Key words: Two-dimensional wavelet transform, Subwindow factor analysis, Noise filtering, Resolution of overlapping peaks