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在线小波分析与分析化学信号的在线处理
引用本文:邵学广,庞春艳,侯树泉.在线小波分析与分析化学信号的在线处理[J].中国科学技术大学学报,2000,30(2):195-200.
作者姓名:邵学广  庞春艳  侯树泉
作者单位:中国科学技术大学化学系,安徽,合肥,230026
基金项目:中国科学技术大学青年基金资助课题
摘    要:对小波分析的算法进行了改进 ,提出了适用于在线信号处理的在线小波分析算法 ,并为重叠分析化学信号的在线解析提供了计算最佳分解尺度的计算公式 .通过对重叠色谱信号和电化学信号的在线处理 ,在最佳分解尺度计算公式的帮助下 ,在线小波分析可以快速而方便地对分析仪器给出的分析化学信号进行在线解析 ,解析的结果能够保持原有的线性关系 ,可用于重叠信号中组分的定性、定量分析 .

关 键 词:小波分析  在线  信号处理

On-line Wavelet Analysis and On-line Processing of Analytical Signals
SHAO Xue-guang,PANG Chun-yan,HOU Shu-quan.On-line Wavelet Analysis and On-line Processing of Analytical Signals[J].Journal of University of Science and Technology of China,2000,30(2):195-200.
Authors:SHAO Xue-guang  PANG Chun-yan  HOU Shu-quan
Abstract:The algorithm of wavelet analysis was improved and a novel on line algorithm for wavelet analysis, which is suitable for on line processing of analytical instrumental signals, was proposed. An equation for predicting the best resolution level for on line resolution of overlapping signals was also developed. By application of the on line algorithm to the resolution of overlapping chromatograms and voltammograms, it was proved that, with the aid of the proposed equation, the on line wavelet analysis is a rapid and convenient tool for the on line processing of the signals produced from analytical instruments. Linearities of the signals will not change after on line processing, therefore, the results obtained with this method are suitable for further qualitative and quantitative determination.
Keywords:wavelet analysis  on  line  signal  processing
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