Sample Estimators For Entropic Measures Of Mutual Information

R. C. McCarty

doi:10.1117/12.948566

16 December 1989 Sample Estimators For Entropic Measures Of Mutual Information

R. C. McCarty

Proceedings Volume 0977, Real-Time Signal Processing XI; (1989) https://doi.org/10.1117/12.948566
Event: 32nd Annual International Technical Symposium on Optical and Optoelectronic Applied Science and Engineering, 1988, San Diego, CA, United States

Abstract

A nonlinear, entropic measure of mutual information (statistical dependence), I(X1,...,Xnin ≥ 2) = ∫-∞+∞...∫-∞+∞log [(f(x1,...xn)/(Πf1(x1))]dF(x1,...,xn)≥0 was proposed in 1966 by Blachman for a set of continuous random variables, (X1,..., X,ni-∞ < Xt < +∞, i= 1,..., n; ≥ 2) with continuous distribution F(xi,...,xn).

Citation Download Citation

R. C. McCarty "Sample Estimators For Entropic Measures Of Mutual Information", Proc. SPIE 0977, Real-Time Signal Processing XI, (16 December 1989); https://doi.org/10.1117/12.948566

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