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
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.
Key words:Three-dimensional fluorescence spectroscopy; Cluster analysis; Wavelet analysis; Data compression
[1] Bro R. Multi-Way Analysis in the Food Industry. Models, Algorithms, and Applications, PhD Thesis, University of Amsterdam (Netherlands, 1998).
[2] Balkis N. Water Pollution. Croatia: InTech, 2012.
[3] Carstea E M, Baker A, Bieroza M, et al. Water Research, 2010, 44(18): 5356.
[4] Stedmon C A, Seredynska-Sobecka B, Boe-Hansen R, et al. Water Research, 2011, 45(18): 6030.
[5] Murphy K R, Hambly A, Singh S, et al. Environmental Science & Technology, 2011, 45(7): 2909.
[6] Singh S, Henderson K, Baker A, et al. Journal of Membrane Science,2012,421: 180.
[7] Hao R X, Ren H Q, Li J B, et al. Water Research, 2012, 46(17): 5765.
[8] WANG Rong-rong, LIN Xiao-gang, ZHOU Sen(汪荣荣,林晓钢,周 森). Journal of Optoelectronics·Laser(光电子激光),2013,24(8): 1538.
[9] Peiris R H, Jaklewicz M, Budman H, et al. Water Research, 2013, 47(10): 3364.
[10] Bridgeman J, Baker A, Carliell-Marquet C, et al. Environmental Technology, 2013, 34(23): 3069.
[11] Cohen E, Levy G J, Borisover M. Water Research, 2014, 55: 323.
[12] Santa-Cruz P, Garcia-Reiriz A. Talanta, 2014, 128: 450.
[13] LEI Yong-qian, WANG Guan-hua, GUO Peng-ran, et al(雷永乾,王冠华,郭鹏然,等). Chinese Journal of Analysis Laboratory(分析试验室),2014,33(4): 373.
[14] Zhu G C, Yin J, Zhang P, et al. Desalination, 2014, 346: 38.
[15] Matos J T V, Freire S M S C, Duarte R M B O, et al. Atmospheric Environment, 2015, 102: 1.
[16] Coble P G. Marine Chemistry, 1996, 51(4): 325.
[17] Yu S H, Xiao X, Zhao N J. Analytical Methods, 2015, 7: 3461.
[18] ZHANG Fang, WANG Liang, SU Rong-guo, et al(张 芳,王 良,苏荣国,等). Chinese Journal of Sensors and Actuators(传感技术学报),2007,20(10): 2143.
[19] DUAN Ya-li, SU Rong-guo, SHI Xiao-yong, et al(段亚丽,苏荣国,石晓勇,等). Chinese Journal of Lasers(中国激光),2012, 39(7): 0715003-1.