Lecture

Information Theory: Source Coding & Channel Coding

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.

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