Measure-theoretic construction for information theory
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Publication:5609842
DOI10.2996/kmj/1138845876zbMath0209.21807OpenAlexW2075283675MaRDI QIDQ5609842
Publication date: 1969
Published in: Kodai Mathematical Journal (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.2996/kmj/1138845876
Measures of information, entropy (94A17) Information theory (general) (94A15) Measure-theoretic ergodic theory (28D99)
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A non-ergodic compound source with a mixing input source and an Adler ergodic channel ⋮ Ergodicity of asymptotically mean stationary channels ⋮ Representations and extremal properties of averaging operators and their applications to information shannels ⋮ Ergodic decomposition of a stationary channel operator
Cites Work
- A Mathematical Theory of Communication
- On the basic theorems of information theory
- On the integral representation of the rate of transmission of a stationary channel
- Über die Struktur der mittleren Entropie
- Contributions to information theory for abstract alphabets
- Representation of invariant measures
- Representations and extremal properties of averaging operators and their applications to information shannels
- The Individual Ergodic Theorem of Information Theory
- General formulation of Shannon’s main theorem in information theory
- General treatment of alphabet-message space and integral representation of entropy
- A functional method for stationary channels
- Ergodic and Mixing Properties of Infinite Memory Channels
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