Signal Processing Using Mutual Information

IEEE Signal Processing Magazine

Volumn 23, Issue 6, 2006, Pages 50-54

  Hudson, John E ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85032751816     PISSN: 10535888     EISSN: None     Source Type: Journal    
DOI: 10.1109/SP-M.2006.248712     Document Type: Article

References (6)

1. A.G. Darbellay and I. Vajda, “Estimation of the information by an adaptive partitioning of the observation space,” IEEE Trans. Inform. Theory, vol. 45, no. 4, pp. 1315–1321, May 1999.
2. A.G. Darbellay and P. Tichavsky, “Independent component analysis through direct estimation of the mutual information,” in Proc. ICA2000: 2nd Int. Workshop Independent Component Analysis Blind Separation, Helsinki, 19–22 June 2000, pp. 69–75.
3. A. Webb, Statistical Pattern Recognition, 2nd ed. New York: Wiley, 2002.
4. T. Cover and J.A. Thomas, Elements of Information Theory. New York: Wiley, 2002.
5. M. Menendez, P.D. Morales, and L. Pardo, “Maximum entropy principle and statistical inference on condensed ordered data,” Statist. Probability Lett. vol. 34, no. 1, pp. 85–93, May 1997.
6. D.R. Brillinger, “Some data analyses using mutual information,” Brazilian J. Probability Statist., vol. 18, pp. 163–183, 2004. [SP]