| 小波变换用于示波信号中有用信息提取的研究 |
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| 引用本文： | 仲红波,郑建斌,潘忠孝,张懋森,高鸿. 小波变换用于示波信号中有用信息提取的研究[J]. 高等学校化学学报, 1998, 19(4): 547-549 |
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| 作者姓名： | 仲红波 郑建斌 潘忠孝 张懋森 高鸿 |
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| 作者单位： | 1. 西北大学电分析化学研究所, 西安, 710069;2. 中国科学技术大学化学物理系， 合肥, 230026 |
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| 基金项目： | 国家自然科学基金,陕西省教委基金 |
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| 摘 要： | 示波分析是近年来在我国发展起来的一个新的电化学分析研究领域［１～４］．它根据阴极射线示波器荧光屏上示波图及其变化进行分析测试，从原理上可以将其分为示波电位法和示波计时电位法；从测定方式上可以将其分为示波滴定和示波测定．关于示波电位法的一些理论问题（如...
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| 关 键 词： | 小波变换 信号处理方法 示波分析 |
| 收稿时间： | 1997-03-18 |
Investigation on Application of Wavelet Transform in Recovering Useful Information from Oscillographic Signal |
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| ZHONG Hong-Bo,ZHENG Jian-Bin,PAN Zhong-Xiao,ZHANG Mao-Sen,GAO Hong. Investigation on Application of Wavelet Transform in Recovering Useful Information from Oscillographic Signal[J]. Chemical Research In Chinese Universities, 1998, 19(4): 547-549 |
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| Authors: | ZHONG Hong-Bo ZHENG Jian-Bin PAN Zhong-Xiao ZHANG Mao-Sen GAO Hong |
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| Affiliation: | 1. Institute of Electroanalitical Chemistry, Northwest University, Xian, 710069;2. Departmentof Chemical Physics, University of Scienceand Technology of China, Hefei, 230026 |
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| Abstract: | Application of wavelet transform in recovering useful information from different kinds of oscillographic chronopotentiometric signal was studied in this paper. Effects of the transform frequency, white noise and kinds of wavelet function and the oscillographic signal on the transform results are discussed. In above mentioned factor, the noise and the transform frequency are two main factors of the influence. Experimental result for the former indicated that for the noise and favorable peak shape a signal to noise ratio of 3 can be tolerated at the 5% error level, which means that a significant reduction in the detection limit can be obtained in comparison with the classical signal processing methods. And the findings of the latter showed that peak height caused by depolarizer depends on decomposition frequency for the signal, and the optimum choice of this frequency, in turn, depends on kinds of the signal. For d E /d t t signal, three frequency of the transform can obtain the best peak shape and the largest peak height. Thus, compared with Fourier transform, it is easy to recover useful information from the oscillographic signal with noise and background signal caused by base solution. |
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| Keywords: | Wavelet transform Signal processing methods Oscillographic analysis |
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