Spectroscopy and Spectral Analysis, Volume. 37, Issue 4, 1163(2017)
Data Compression of Time Series Three-Dimensional Fluorescence Spectroscopy
There has been abundant data saved in time series three-dimensional fluorescence spectroscopy, which is helpful to the qualitative and quantitative analysis of organic matter. However, redundant information also complicates the analysis and decreases the computation efficiency. Based on time-frequency of time series three-dimensional fluorescence spectroscopy, three-dimensional fluorescence spectroscopy is compressed with cluster analysis and 2-D wavelet transform. Some key factors, such as sample distance, inter-calss distance, composite correlation coefficient and R-square stastic, are discussed. The introductions of correlation coefficient and R-square statistic not only improve the precision of cluster analysis but also reduce the data for 2-D wavelet transform. Experiment results show that the important information in the original data is still kept in the compressed time series three-dimensional fluorescence spectroscopy.
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YU Shao-hui, XIAO Xue, XU Ge. Data Compression of Time Series Three-Dimensional Fluorescence Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2017, 37(4): 1163
Received: Jul. 29, 2015
Accepted: --
Published Online: Jun. 20, 2017
The Author Email: Shao-hui YU (yushaohui2005@163.com)