Title :
Redundancy in Deterministic Sequences
Author_Institution :
Herff College of Engineering Memphis State University Memphis, Tenn. 38111
Abstract :
A method is presented for defining an information measure for deterministic sequences. This is done by considering a sequence as a non-Markovian sample space. The correspondence between redundancy, as defined by this information measure, and measured perception ability is considered.
Keywords :
Entropy; Equations; History; Humans; Information theory; Pattern recognition; Position measurement; Size measurement; Steady-state;
Journal_Title :
Systems Science and Cybernetics, IEEE Transactions on
DOI :
10.1109/TSSC.1970.300313
