Word-valued sources: An ergodic theorem, an AEP, and the conservation of entropy

Roy Timo*, Kim Blackmore, Leif Hanlen

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    1 Citation (Scopus)

    Abstract

    A word-valued source Y = Y1,Y2,̇ ̇ ̇ is discrete random process that is formed by sequentially encoding the symbols of a random process ${\bf X} = X1,X2 ̇ ̇ ̇ with codewords from a codebook. These processes appear frequently in information theory (in particular, in the analysis of source-coding algorithms), so it is of interest to give conditions on X and for which Y will satisfy an ergodic theorem and possess an asymptotic equipartition property (AEP). In this paper, we prove the following: 1) if X is asymptotically mean stationary (AMS), then Y will satisfy a pointwise ergodic theorem and possess an AEP; and 2) if the codebook is prefix-free, then the entropy rate of Y is equal to the entropy rate of X normalized by the average codeword length.

    Original languageEnglish
    Article number5484984
    Pages (from-to)3139-3148
    Number of pages10
    JournalIEEE Transactions on Information Theory
    Volume56
    Issue number7
    DOIs
    Publication statusPublished - Jul 2010

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