Lectures related to Shannon's source coding theorem

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

Explores lossless data compression, entropy, and data loss thresholds.

Covers the definition of entropy, Shannon–Fano algorithm, and upcoming topics.

Explores the performance of Shannon-Fano algorithm and introduces Huffman codes for efficient data compression.

Covers entropy, source coding, encoding maps, decodability, prefix-free codes, and Kraft-McMillan's inequality.

Explores the origins and interpretation of entropy, emphasizing its role in measuring disorder and information content in a system.

Explores the cutting-edge JPEG XS and JPEG XL image compression standards, emphasizing their efficiency and versatility in various applications.