Wavelet-Fourier self-deconvolution |
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Authors: | ZHENG Jianbin ZHANG Hongquan GAO Hong |
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Institution: | Institute of Electroanalytical Chemistry, Northwest University, Xi'an 710069, China |
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Abstract: | 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. |
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Keywords: | chemometrics signal processing wavelet transform Fourier self-deconvolution wavelet-Fourier self-deconvolution oscillographic analysis resolution of overlapped peaks |
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