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Kraft-McMillan & Huffman Coding Explained by ravi srivastava is a document available to read on EtoBox.

The document discusses three main topics: 1) Shannon coding is not always optimal and can result in longer than necessary codeword lengths, as shown through an example binary source. 2) The Kraft-McMillan Inequality establishes that entropy provides a lower bound on the expected codeword length of any uniquely decodable code. 3) Huffman coding is introduced as an optimal method for constructing prefix codes that achieves the lowest possible expected codeword length.

Author

ravi srivastava

Language

EN