The Intersymbol Correlation of a Sequence

نویسنده

  • Glenn Takanishi
چکیده

This article studies the correlation of information embedded in a sequence based on Satosi Watanabe's parameter called the intersymbol correlation. Basic concepts of conditional probability, ergodicity, and redundancy are used in formulating the correlation index within a sequence. The occurrence of these symbols of an nth-order Markov chain is governed by an intersymbol correlation probability of range n. The conditions of ergodicity and the structure of "ergodic subsets" of sequences of arbitrary length are analyzed. Satosi Watanabe's mathematical method which evaluates the "range" and "strength" of the correlation index of the sequence is studied.

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تاریخ انتشار 2011