Information Theory: Source Coding & Channel Coding

In course

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Description

This lecture covers the fundamentals of information theory, focusing on source coding and channel coding. Topics include random variables, noisy channels, probability kernels, transition probabilities, data compression, and Kraft's inequality.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_a6c5tjf5

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Ontological neighbourhood

Information engineering

Information theory: Coding theory

Signal processing: Data compression

Mathematics

Mathematical logic: Set theory

Statistics

Statistical inference: Mathematical statistics

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