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Shannon-Fano and Huffman Coding Overview by Mercy Dega is a document available to read on EtoBox.

What is Shannon-Fano and Huffman Coding Overview about?

This document discusses lossless data compression algorithms. It begins with an introduction that explains the need for compression when storing or transmitting large amounts of digital data like video. It then covers some basics of information theory, including entropy which quantifies uncertainty. Entropy is key to understanding how compression works. The document discusses Shannon entropy and how it relates to the number of bits needed to encode data. It provides examples of calculating entropy for diffe

Author

Mercy Dega

Language

EN