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| Data Compression of Time Series Three-Dimensional Fluorescence Spectroscopy |
| YU Shao-hui1, XIAO Xue2, XU Ge1 |
1. School of Mathematics and Statistics, Hefei Normal University, Hefei 230601, China
2. Key Laboratory of Environmental Optics & Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China |
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Abstract 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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Received: 2015-07-29
Accepted: 2016-01-15
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