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Entropy and data compression schemes

Ornstein, D.S. ; Weiss, B.

IEEE transactions on information theory, 1993-01, Vol.39 (1), p.78-83 [Periódico revisado por pares]

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Título:
Entropy and data compression schemes
Autor: Ornstein, D.S. ; Weiss, B.
Assuntos: Applied sciences ; Data compression ; Entropy ; Exact sciences and technology ; Heart ; Information theory ; Information, signal and communications theory ; Mathematics ; Telecommunications and information theory
É parte de: IEEE transactions on information theory, 1993-01, Vol.39 (1), p.78-83
Notas: ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
Descrição: 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.< >
Editor: New York, NY: IEEE
Idioma: Inglês

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