Compression: Prefix-free Codes

Related lectures (27)

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Explains compression and Kraft inequality in codes and sequences.

Explains prefix-free codes for efficient data compression and the significance of uniquely decodable codes.

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

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

Discusses conditional entropy and its role in data compression techniques.

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

Covers the concepts of compression and prediction using prefix-free codes and distributions.

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

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

Explores the Shannon-Fano algorithm for data compression and its efficiency in creating unique binary codes for letters.