Abstract: Application of wavelet transform in recovering useful information from different kinds of oscillographic chronopotentiometric signal was studied in this paper. Effects of the transform frequency, white noise and kinds of wavelet function and the oscillographic signal on the transform results are discussed. In above-mentioned factor, the noise and the transform frequency are two main factors of the influence. Experimental result for the former indicated that for the noise and favorable peak shape a signa-to-noise ratio of 3 can be tolerated at the 5% error level, which means that a significant reduction in the detection limit can be obtained in comparison with the classical signal-processing methods. And the findings of the latter showed that peak height caused by depolarizer depends on decomposition frequency for the signal, and the optimum choice of this frequency, in turn, depends on kinds of the signal. For dE /dt-t signal, three frequency of the transform can obtain the best peak shape and the largest peak height. Thus, compared with Fourier transform, it is easy to recover useful information from the oscillographic signal with noise and background signal caused by base solution.

Key words: Wavelet transform, Signal processing methods, Oscillographic analysis