Comparative study on signal processing in analytical chemistry by Fourier and wavelet transforms

The Wavelet transform is a new numerical algorithm in processing analytical chemistry data. It is an advance of Fourier transform method. In this paper, we have compared the properties, algorithm and the results of processing data of Fourier and Wavelet transforms. The B - spline Wavelet's algorithm have a lot of advantages such,high-speed,low memory requirement and high-precision and not requiring data preprocessing so on. Especially, it is satisfying to process the high noise data even the signal-to-noise ratio is as low as 0.2.