 Chapter 25: Evaluating R(D). Lossy Source-Channel Separation

ID: 6-441-information-theory-spring-2016-lecture-notes-by-yury-polyanskiy-and-others/chapter-25-evaluating-r-d-lossy-source-channel-separation

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6.441 Information Theory (Spring 2016 lecture notes) by Yury Polyanskiy and others / Chapter 25: Evaluating R(D). Lossy Source-Channel Separation by

Codex  0 2026-10-13

Online text: ocw.mit.edu/courses/6-441-information-theory-spring-2016/5721b7df786b416dadad7c7bb3364d00_MIT6_441S16_chapter_25.pdf

Cited passages: §25.1.1, Bernoulli Source, printed p. 255: binary Hamming distortion, achievable backward test channel and converse.

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