A new method which is caIled orthogonal wavelet transform was introduced into deconvolution voltammetry to deal with discrete data containing strong random noise. From simulated data and experimental data, the process...A new method which is caIled orthogonal wavelet transform was introduced into deconvolution voltammetry to deal with discrete data containing strong random noise. From simulated data and experimental data, the processed results show that wavelet trans form would be the best method in processing complex discrete signal containing high white noise,and was compared with Fourier least square method. Wavelet transform has many merits than Fourier method.展开更多
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
文摘A new method which is caIled orthogonal wavelet transform was introduced into deconvolution voltammetry to deal with discrete data containing strong random noise. From simulated data and experimental data, the processed results show that wavelet trans form would be the best method in processing complex discrete signal containing high white noise,and was compared with Fourier least square method. Wavelet transform has many merits than Fourier method.
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.
