Source Coding Theorem: Fundamentals and Models

Related lectures (30)

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Explores stationary sources, entropy, regularity, and coding efficiency, including a challenging problem with billiard balls.

Explores entropy as a 'question game' to guess letters efficiently and its relation to data compression.

Explores entropy, ideal gases, and TDS equations in thermodynamics, emphasizing the importance of the Clausius inequality and the Carnot cycle.

Explains probability distribution, entropy, and Gibbs free entropy, along with the Weiss model.

Covers the application of entropy in algorithms, focusing on sorting and decision-making strategies.

Reviews heat transfer mechanisms, entropy, and thermodynamic potentials in relation to equilibrium and Carnot cycles.

Explores Shannon's theorem on data compression and the performance of Shannon Fano codes.

Covers conditional entropy, weather conditions, function entropy, and the chain rule.

Reviews information measures like entropy and introduces mutual information as a measure of information between random variables.

Explores the second principle of thermodynamics, emphasizing entropy's role in system evolution and equilibrium.