奈特(nat,或称nit或nepit)又称纳特,是信息论熵的单位之一。以自然对数为底,而不是以2为底的对数。表达式为:I_e = -\ln {p_i} 。
1纳特相当于1.44(lb e)比特或0.434(lg e),以及k J/K。
参考文献
- J.W. Comley and D.L. Dowe, `
[http://www.csse.monash.edu.au/~dld/David.Dowe.publications.html#ComleyDowe2005 Minimum Message Length, MDL and Generalised Bayesian Networks with Asymmetric Languages] , Chapter 11 (pp[http://www.csse.monash.edu.au/~dld/Publications/2005/ComleyDowe2005MMLGeneralizedBayesianNetsAsymmetricLanguages_p265.jpg 265] -[http://www.csse.monash.edu.au/~dld/Publications/2005/ComleyDowe2005MMLGeneralizedBayesianNetsAsymmetricLanguages_p294.jpg 294] ) in P. Grünwald, I. J. Myung and M. A. Pitt (eds.),[http://mitpress.mit.edu/catalog/item/default.asp?sid=4C100C6F-2255-40FF-A2ED-02FC49FEBE7C&ttype=2&tid=10478 Advances in Minimum Description Length: Theory and Applications] ', MIT Press (ISBN 0-262-07262-9), April 2005. - Fazlollah M. Reza. An Introduction to Information Theory. New York: Dover 1994. ISBN 0486682102
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