Lectures related to Data Compression and Shannon's Theorem: Definitions

Covers source coding theorems, entropy, and various source models in information theory.

Covers the concept of compression and constructing prefix-free codes based on given information.

Explores entropy theory, compression without loss, and the efficiency of the Shannon-Fano algorithm in data compression.

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

Explores entropy, compression algorithms, and optimal coding methods for data compression.

Covers the fundamentals of information theory, focusing on source coding and channel coding.