Application of the Fast Wavelet Transform Method to Compress Ultraviolet-Visible Spectra

Data compression methods based on the fast wavelet transform and the multiresolution signal decomposition algorithms were devised and applied to ultraviolet-visible absorption spectra. Wavelet functions of the Daubechies type were employed for the purpose. In addition, two data pretreatment procedures were proposed and used to cope with the side-lobe problem. The performance of these methods was evaluated by using both synthetic and experimental data. It was found that the storage space of the spectral information under study can be reduced significantly by using the suggested methods with good-quality spectra generated from the compressed data.