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Overview

SFI Working Paper Abstract

1990

Title:

Mutual Information Functions versus Correlation Functions

Author(s):

Wentian Li

Files: [No electronic files available.]
Paper #:

90-024

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 $1(d)$. An exact relation between $M(d)$ and $1(d)$ is derived for binary sequences. For sequences with more than two symbols, no such general relation exists; in particular, $1(d)=0$ 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.