Abstract: The wavelet analysis is an effective technique for processing data. Because the system quantization error of digital filter, algorithm and other elements easily create the offset of peak position especially in processing gradual change signal. In this paper, we have discussed the advantages and disadvantages of spline wavelet and Fourier transformation methods, designed the combined algorithm of these two methods, optimized the parameters and used this method successfully to process signal with high noise, even whose S/N is 0.1. Experimental data were processed by the proposed method and satisfactory results were obtained.

Key words: Spline wavelet, Fourier transformation, Combined, Processing signal