Application of Wavelet Transformation to the Resolution of Overlapped Chemical Signals

Wavelet transformation was applied to resolve overlapped chemical signals. By the use of wavelet convolution,the positions of overlapped signal peaks were accurately resolved and determined,even when the S/N ratio was relatively low,while it was not achieved by the method of 2nd derivation. In the further treatment with wavelet filtering,the peaks were clearly separated from the baseline with no change in peak positions and peak areas. Both the algorithms of wavelet convolution and wavelet filtering were applied to the testing of alcohol mixture containing ethanol,2-propanol,1-propanol,1-butanol,1-pentanol and 2-octanol,mixture of butanone and butanal,as well as the single-componental butanone and butanal. As proved by experimental result,algorithm of wavelet transformation was an effective way to resolve the overlapped signals and making the determination very satisfactory.