Question: A source has an alphabet { a 1 , a 1 , a 3 , a 4 } with corresponding probabilities { 0 . 1

A source has an alphabet {a1, a1, a3, a4} with corresponding probabilities {0.1,
0.2,0.3,0.4}.
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 number
of required binary letters per each source output letter?
5. Which is a more efficient coding scheme: the Huffman coding of the original
source or the Huffman coding of the second extension of the source?

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