Lectures related to Source Coding Theorem

Explores data compression, including lossless methods and the necessity of lossy compression for real numbers and signals.

Explains how entropy measures uncertainty in a system based on possible outcomes.

Explores compression in stochastic processes through injective codes and prefix-free codes.

Covers the basics of information theory, focusing on Shannon's setting and channel transmission.

Introduces data compression, entropy, and the importance of reducing redundancy in data.