Application of spline wavelet self-convolution in processing capillary electrophoresis overlapped peaks with noise

A new method of spline wavelet self-convolution (SWSC), which is used to resolve the overlapped peaks with noise, is presented in this paper. The resolution of several kinds of overlapped peaks with noise simulated by computer has been discussed in details. It is made known that the overlapped peaks with noise can be separated (S/N>50) directly and the noise is removed at the same time in time domain. Base-line can be separated and the relative errors of peak area and position are <5.0%. The satisfactory results are also obtained by resolving the capillary electrophoresis (CE) overlapped signals with noise.