Rate distortion theory for sources with abstract alphabets and memory-Reference-Cited by-同舟云学术

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Rate distortion theory for sources with abstract alphabets and memory

Published:1968-09 Issue:3 Volume:13 Page:254-273
ISSN:0019-9958
Container-title:Information and Control
language:en
Short-container-title:Information and Control

Author:

Berger Toby

Publisher

Elsevier BV

Subject

General Engineering

Reference18 articles.

1. Ergodic and mixing properties of infinite memory channels;Adler,1961

2. Ergodic Theory and Information;Billingsley,1965

3. A general formulation of the fundamental Shannon theorem in information theory;Dobrushin;Uspehi Mat. Akad. Nauk.,1959

4. A general formulation of the fundamental Shannon theorem in information theory;Dobrushin;Transl. Am. Math. Soc., Series 2,1959

5. Transmission of Information;Fano,1961

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1. A Stochastic Rate-Distortion Approach to Supervised Learning Systems;2023 IEEE International Symposium on Information Theory (ISIT);2023-06-25

2. On Stochastic Codebook Generation for Markov Sources;2023 Data Compression Conference (DCC);2023-03

3. On-The-Fly Stochastic Codebook Re-generation for Sources with Memory;2020 IEEE Information Theory Workshop (ITW);2021-04-11

4. Nonstationary Gauss-Markov Processes: Parameter Estimation and Dispersion;IEEE Transactions on Information Theory;2021-04

5. Complexity;Mathematics in Mind;2021

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