Studies of spline wavelet least square in processing electrochemical signals.
The application of spline wavelet least square (SWLS) in analytical chemistry signals is presented in this paper. As a new technique in signal processing, to extract useful signals from high noise, the influences of different parameters on the results of processing is discussed in details. If the suitable parameters are selected, useful signals can be filtered from the noise of S/N=0.5. The relative error of peak current is less than 3.0%, and that of peak potential is less than 10%. Comparison of this method with wavelet multifrequency channel decomposition (WMCD) and spline least square (SLS) has also been made and it indicates that SWLS can solve some problems in WMCD and SLS. The experimental results are also satisfactory.
Zheng
X
X
Department of Chemistry, Zhongshan University, Guangzhou, 510275, PR China.
Mo
J
J
Xie
T
T