A source has an alphabet {aj, a2, az, as} with corresponding probabilities (0.1, 0.2, 0,5, 0.2). 1. Find the entropy of the source. 2. What is the minimum required average code word length to represent this source for error-free reconstruction? 3. Design a Huffman code for the source and compare the average length of the Huffman code with the entropy of the source. 4. Design a Huffman code for the second extension of the source (take two letters at a time). What is the average code word length? What is the average required binary letters per each source output letter? 5. Which one is a more efficient coding scheme, Huffman coding of the original source or Huffman coding of the second extension of the source?

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Q: Let S be a source with probabilities p; = 0.4, 0.2, 0.2, 0.1, 0.1 then e) If C is ternary Huffman…

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Q: (i) Give an informal description of why the arrows in the diagram are neces- sary, and why the…

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Q: (i) Give an informal description of why the arrows in the diagram are neces- sary, and why the…

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