Message Board

Respected readers, authors and reviewers, you can add comments to this page on any questions about the contribution, review,        editing and publication of this journal. We will give you an answer as soon as possible. Thank you for your support!

Name
E-mail
Phone
Title
Content
Verification Code

SONG Qing, LU Feng. Application of ten independent component analysis methods in pharmaceutical analysis[J]. Journal of Pharmaceutical Practice and Service, 2013, 31(1): 1-4,74. doi: 10.3969/j.issn.1006-0111.2013.01.001
Citation: SONG Qing, LU Feng. Application of ten independent component analysis methods in pharmaceutical analysis[J]. Journal of Pharmaceutical Practice and Service, 2013, 31(1): 1-4,74. doi: 10.3969/j.issn.1006-0111.2013.01.001

Application of ten independent component analysis methods in pharmaceutical analysis

doi: 10.3969/j.issn.1006-0111.2013.01.001
  • Received Date: 2012-04-07
  • Rev Recd Date: 2012-06-26
  • The principles and applications of ICA methods were reviewed. Firstly, a summary of the background and development prospects of the ICA were described, the definition, basic principles, and ten algorithms of ICA were briefly introduced,and then the practical application of the ICA in pharmaceutical analysis was discussed.
  • [1] Comon P.Independent component analysis, a new concept[J].Signal Processing,1994,36(3):287.
    [2] Hyvarinen A.Fast and robust fixed-point algorithms for independent component analysis[J].Neural Networks, 1999,10(3):626.
    [3] Hyvärinen A,Oja E.Independent component analysis: algorithms and applications[J].Neural Networks,2000,13(4-5):411.
    [4] De Lathauwer L,De Moor B.An introduction to independent component analysis[J].Journal of Chemometrics,2000,14(3):123.
    [5] Wang G,Ding Q,Hou Z.Independent component analysis and its applications in signal processing for analytical chemistry[J].TrAC Trends in Analytical Chemistry,2008,27(4):368.
    [6] 毕 贤,李通化,吴 亮.独立组分分析在红外光谱分析中的应用[J].高等学校化学学报,2004,25(6):1023.
    [7] 林 婷,刘湘南,金 铭.改进 ICA 算法及其在作物光谱分类中的应用[J].计算机工程,2011,37(11):272.
    [8] Oja E,Hyvarinen A,Karhunen J.Independent component analysis[M].John Wiley & Sons,2001:5.
    [9] Boscolo R,Pan H,Roychowdhury VP.Independent component analysis based on nonparametric density estimation[J].Neural Networks, 2004,15(1):55.
    [10] 杨竹青,胡德文.独立成分分析方法在盲源信号分离中的应用[J].计算机测量与控制,2002,10(003):200.
    [11] Langlois D,Chartier S,Gosselin D.An introduction to independent component analysis: infomax and FastICA algorithms[J].Tutorials in Quantitative Methods for Psychology,2010,6(1):31.
    [12] Koldovsky Z,Tichavsky P,Oja E.Efficient variant of algorithm FastICA for independent component analysis attaining the Cramer-Rao lower bound[J].IEEE Trans Neural Netw,2006,17(5):1265.
    [13] Astakhov SA,Stögbauer H,Kraskov A.Monte carlo algorithm for least dependent non-negative mixture decomposition[J].Anal Chem,2006,78(5):1620.
    [14] Monakhova YB,Astakhov SA,Kraskov A.Independent components in spectroscopic analysis of complex mixtures[J].Chemometrics and Intelligent Laboratory Systems,2010,103(2):108.
    [15] 杨竹青,李 勇.独立成分分析方法综述[J].自动化学报,2002,28(005):762.
    [16] Astakhov SA,Stögbauer H,Kraskov A.Spectral mixture decomposition by least dependent component analysis[J].Arxiv preprint physics,2004,Submitted on 4 Dec 2004 (v1),last revised 7 Sep 2005 (this version, v2).
    [17] Cardoso JF.High-order contrasts for independent component analysis[J].Neural Comput,1999,11(1):157.
    [18] Learned-Miller EG,Fisher JW.ICA using spacings estimates of entropy[J].Journal of Machine Learning,2003,4:1271.
    [19] Bach FR,Jordan MI.Kernel independent component analysis[J].Journal of Machine Learning,2003,3:1.
    [20] Marton-Clemente R,Hornillo-Mellado S,Acha J.MLP-based source separation for mlpοlike nonlinear mixtures[C].In 4th International Symposium on ICA and BSS,Nara,Japan,2003,155.
    [21] Eriksson J,Karvanen J,Koivunen V.Source distribution adaptive maximum likelihood estimation of ICA model[C].In 2nd International Workshop on Independent Component Analysis and Blind Signal Separation,Helsinki,2000,227.
    [22] Karvanen J,Eriksson J,Koivunen V.Pearson system based method for blind separation[C].In Proceedings of Second International Workshop on Independent Component Analysis and Blind Signal Separation,Helsinki,2000,585.
    [23] 方利民,林 敏.ICA 方法与 NIR 技术用于药片中活性成分含量的测定[J].化学学报,2008,66(15):1791.
    [24] 王国庆,丁青竹,孙雨安,等.基于独立成分分析的乙酰螺旋霉素药片组成分布与共存性研究[J].郑州轻工业学院学报,2008,23(2):7.
    [25] 张西安,董春红,孙 晓,等.基于红外光谱-小波变换-核独立成分分析的地黄炮制过程终点确定[J].河南师范大学学报,2009,3:179.
    [26] Lin H,MarjanoviéO,Lennox B,et al.Multivariate statistical analysis of raman images of a pharmaceutical tablet[J].Appl Spectrosc,2012,66(3):272.
    [27] Debrus B,Lebrun P,Kindenge JM,et al.Innovative high-performance liquid chromatography method development for the screening of 19 antimalarial drugs based on a generic approach, using design of experiments, independent component analysis and design space[J].Journal of Chromatography A,2011,1218(31):5205.
    [28] Debrus B,Lebrun P,Ceccato A,et al.Application of new methodologies based on design of experiments, independent component analysis and design space for robust optimization in liquid chromatography[J].Anal Chim Acta,2011,691(1-2):33.
    [29] Rascon C,Lennox B,Marjanovic O.Recovering independent components from shifted data using fast independent component analysis and swarm intelligence[J].Appl Spectrosc,2009,63(10):1142.
    [30] Shao X,Liu Z,Cai W.Extraction of chemical information from complex analytical signals by a non-negative independent component analysis[J].Analyst,2009,134(10):2095.
  • 加载中
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Article Metrics

Article views(2933) PDF downloads(205) Cited by()

Related
Proportional views

Application of ten independent component analysis methods in pharmaceutical analysis

doi: 10.3969/j.issn.1006-0111.2013.01.001

Abstract: The principles and applications of ICA methods were reviewed. Firstly, a summary of the background and development prospects of the ICA were described, the definition, basic principles, and ten algorithms of ICA were briefly introduced,and then the practical application of the ICA in pharmaceutical analysis was discussed.

SONG Qing, LU Feng. Application of ten independent component analysis methods in pharmaceutical analysis[J]. Journal of Pharmaceutical Practice and Service, 2013, 31(1): 1-4,74. doi: 10.3969/j.issn.1006-0111.2013.01.001
Citation: SONG Qing, LU Feng. Application of ten independent component analysis methods in pharmaceutical analysis[J]. Journal of Pharmaceutical Practice and Service, 2013, 31(1): 1-4,74. doi: 10.3969/j.issn.1006-0111.2013.01.001
Reference (30)

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return