The classical Fourier self deconvolution has the problem in selecting simulated function and filter function, so its application in resolving overlaped peaks is limited. In this paper, using coarser approximation obta...The classical Fourier self deconvolution has the problem in selecting simulated function and filter function, so its application in resolving overlaped peaks is limited. In this paper, using coarser approximation obtained after wavelet transform as line shape function, a new electroanalytical method, Fourier self deconvolution oscillographic chronopotentiometry is founded. Experimental results show that this method can not only improve the resolution power and sensitivity, but also make selection of parameters in the processing of Fourier self deconvolution easy and simple.展开更多
Using a wavelet function as the filter function of Fourier self-deconvolution, a new method of resolving overlapped peaks, wavelet-Fourier self-deconvolution, is founded. The properties of different wavelet deconvolut...Using a wavelet function as the filter function of Fourier self-deconvolution, a new method of resolving overlapped peaks, wavelet-Fourier self-deconvolution, is founded. The properties of different wavelet deconvolution functions are studied. In addition, a cutoff value coefficient method of eliminating artificial peaks and wavelet method of removing shoulder peaks using the ratio of maximum peak to minimum peak is established. As a result, some problems in classical Fourier self-deconvolution are solved, such as the bad result of denoising, complicated processing, as well as usual appearance of artificial and shoulder peaks. Wavelet-Fourier self-deconvolution is applied to determination of multi-components in oscillographic chronopotentiometry. Experimental results show that the method has characteristics of simpler process and better effect of processing.展开更多
文摘The classical Fourier self deconvolution has the problem in selecting simulated function and filter function, so its application in resolving overlaped peaks is limited. In this paper, using coarser approximation obtained after wavelet transform as line shape function, a new electroanalytical method, Fourier self deconvolution oscillographic chronopotentiometry is founded. Experimental results show that this method can not only improve the resolution power and sensitivity, but also make selection of parameters in the processing of Fourier self deconvolution easy and simple.
文摘Using a wavelet function as the filter function of Fourier self-deconvolution, a new method of resolving overlapped peaks, wavelet-Fourier self-deconvolution, is founded. The properties of different wavelet deconvolution functions are studied. In addition, a cutoff value coefficient method of eliminating artificial peaks and wavelet method of removing shoulder peaks using the ratio of maximum peak to minimum peak is established. As a result, some problems in classical Fourier self-deconvolution are solved, such as the bad result of denoising, complicated processing, as well as usual appearance of artificial and shoulder peaks. Wavelet-Fourier self-deconvolution is applied to determination of multi-components in oscillographic chronopotentiometry. Experimental results show that the method has characteristics of simpler process and better effect of processing.
