Lecture
Lossless Compression: Shannon-Fano and Huffman
In course
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Description
This lecture covers the principles of lossless compression, focusing on exploiting data redundancy to shorten sequences efficiently. It introduces the Shannon-Fano algorithm, which divides letters based on their frequency, and the Huffman algorithm, which assigns variable-length codes to optimize compression. By comparing the two methods, the instructor demonstrates how Huffman coding outperforms Shannon-Fano in terms of efficiency and speed. The lecture also delves into the concept of entropy, calculating the entropy of a given sequence to highlight the effectiveness of Huffman coding in minimizing the average number of bits per letter.
In MOOCs (2)
Information, Calcul, Communication: Introduction à la pensée informatique
Dans une première partie, nous étudierons d’abord comment résoudre de manière très concrète un problème au moyen d’un algorithme, ce qui nous amènera dans un second temps à une des grandes questions d
Information, Calcul, Communication: Introduction à la pensée informatique
Dans une première partie, nous étudierons d’abord comment résoudre de manière très concrète un problème au moyen d’un algorithme, ce qui nous amènera dans un second temps à une des grandes questions d
Instructors (3)
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Ontological neighbourhood
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