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Entropy and data compression schemes

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2 Author(s)
Ornstein, D.S. ; Dept. of Math., Stanford Univ., CA, USA ; Weiss, B.

Some new ways of defining the entropy of a process by observing a single typical output sequence as well as a new kind of Shannon-McMillan-Breiman theorem are presented. This provides a new and conceptually very simple ways of estimating the entropy of an ergodic stationary source as well as new insight into the workings of such well-known data compression schemes as the Lempel-Ziv algorithm

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Information Theory, IEEE Transactions on  (Volume:39 ,  Issue: 1 )