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What is Optimal Coding in Information Theory about?

The document summarizes solutions to problems in an information theory course. It discusses: 1) Properties of instantaneous codes and how they achieve minimum expected codeword length. 2) Why instantaneous codes cannot decode all sequences and how this can be visualized using trees or intervals on a number line. 3) An optimal coding scheme for a Markov source and showing it achieves the entropy lower bound. 4) Comparing binary and ternary Huffman codes for a source. 5) Strategies for a 20 question game to

Author

Nick Astley

Language

EN