Aires et al. 1999

Aires, F., A. Chédin, and J.-P. Nadal, 1999: Analysis of geophysical time series and information theory: Independent Component Analysis. C. R. Acad. Sci. Paris II A, 328, 569-575.

With the aim of identifying the physical causes of variability of a given dynamical system, the geophysical community has made an extensive use of the statitical component extraction techniques We introduce here a recently developed algorithm based on information theory: the Independent Component Analysis. This technique presents two major advantages over classical methods. First, it aims at extracting statistically independent components where classical techniques search for decorrelated components (i.e. a weaker constraint). Secondly, the linear hypothesis for the mixture of components is not required. This new method is presented in the context of geophysical time series analysis. The ICA algorithm is applied to the study of the variability of the tropical Sea Surface Temperature, with a particular emphasis to the analysis of the links between El-Niñno/Southern Oscillation and the Atlantic SST variability.

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Aires, F., Chédin, A., and Nadal, J.-P.: Analysis of geophysical time series and information theory: Independent Component Analysis, C. R. Acad. Sci. Paris II A, 328, 569-575, 1999.

Aires, F., A. Chédin, and J.-P. Nadal (1999), Analysis of geophysical time series and information theory: Independent Component Analysis, C. R. Acad. Sci. Paris II A, 328, 569-575.

Aires, F., A. Chédin, and J.-P. Nadal, 1999: Analysis of geophysical time series and information theory: Independent Component Analysis. C. R. Acad. Sci. Paris II A, 328, 569-575.

Aires, F., Chédin, A., & Nadal, J.-P. 1999, C. R. Acad. Sci. Paris II A, 328, 569.

Aires F, Chédin A, Nadal J-P. Analysis of geophysical time series and information theory: Independent Component Analysis, C R Acad Sci Paris II A 1999;328:569-575.

F. Aires, A. Chédin, J.-P. Nadal, C. R. Acad. Sci. Paris II A 328, 569-575 (1999).