Mutual information functions versus correlation functions Articles Received: 16 October 1989 Revised: 13 March 1990 DOI:
Cite this article as: Li, W. J Stat Phys (1990) 60: 823. doi:10.1007/BF01025996 Abstract
This paper studies one application of mutual information to symbolic sequences: the mutual information function
M(d). This function is compared with the more frequently used correlation function Γ(d). An exact relation between M(d) and Γ(d) is derived for binary sequences. For sequences with more than two symbols, no such general relation exists; in particular, Γ(d)=0 may or may not lead to M(d)=0. This linear, but not general, independence between symbols separated by a distance is studied for ternary sequences. Also included is the estimation of the finite-size effect on calculating mutual information. Finally, the concept of “symbolic noise” is discussed. Key words Mutual information function correlation functions linear and general dependence symbolic noise References
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