The Comparison between Arbitrary Information Sources and Memoryless Information Sources and its Limit Properties

DOI10.1080/02522667.1994.10699197zbMath0827.94011OpenAlexW2082704304MaRDI QIDQ4321113

Liu Wen

Publication date: 19 January 1995

Published in: Journal of Information and Optimization Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02522667.1994.10699197

zbMATH Keywords

Shannon-McMillan theoremasymptotic equipartitioninformation sources

Mathematics Subject Classification ID

Information theory (general) (94A15)

Cites Work

• The strong ergodic theorem for densities: Generalized Shannon-McMillan- Breiman theorem
• A simple proof of the Moy-Perez generalization of the Shannon-McMillan theorem
• The Individual Ergodic Theorem of Information Theory
• A Note on the Ergodic Theorem of Information Theory
• The Basic Theorems of Information Theory

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