Variable-length code

Related lectures (27)

Page 2 of 3

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

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

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

Covers prefix-free codes, Kraft inequality, Huffman coding, and entropy.

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

Introduces Shannon's Theorem on binary codes, entropy, and data compression limits.

Explores Huffman coding, demonstrating its optimality in average codeword length and prefix-free property.

Explains how to design efficient prefix-free codes for compression.

Explains binary codes, prefix-free codes, and representing letters with codes.

Explores lossless compression using Shannon-Fano and Huffman algorithms, showcasing Huffman's superior efficiency and speed over Shannon-Fano.