Lectures related to Untitled | EPFL Graph Search

Covers source coding, injective codes, prefix-free codes, and Kraft's inequality.

Covers the Universal Compression using the Lempel-Ziv method and demonstrates its superiority over other methods.

Covers source coding, Kraft's inequality, mutual information, Huffman procedure, and properties of tropical sequences.

Covers expected code word length, Huffman procedure, and entropy in coding theory.

Covers data compression techniques, including source coding and unique decodability concepts.

Explores entropy in information theory and its role in data processing and probability distributions.

Covers continuous-time Markov chains and Kolmogorov equations in stochastic communication models.

Covers the equations of Kolmogorov for continuous-time Markov chains.