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.
Explores data compression through entropy definition, types, and practical examples, illustrating its role in efficient information storage and transmission.
Covers the basics of information theory, focusing on Shannon's setting and channel transmission.
Explores Huffman coding by comparing it to organizing a kitchen for efficiency.
