THE APPLICATION OF SPLINE WAVELET AND FOU RIER TRANSFORMATION IN ANALYTICAL-CHEMISTRY

The wavelet analysis is an effective technique for processing data, Be cause the system quantization error of digital filter, algorithm and o ther elements easily create the offset of peak position especially in processing gradual change signal, Zn this paper, we have discussed the advantages and disadvantages of spline wavelet and Fourier transforma tion methods, designed the combined algorithm of these two methods, op timized the parameters and used this method successfully to process si gnal with high noise, even whose S/N is 0.1. Experimental data were pr ocessed by the proposed method and satisfactory results were obtained.