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Huffman via MATLAB. (a) Give a Huffman encoding into an alphabet of size D = 2 of the following probability mass function: (12, 18, 18, 116, 116, 116, 116). Creating a Code: The Data Compression. Problem. □ Assume a source with an alphabet A and known symbol probabilities {p More Examples of Huffman Code Huffman codes are optimal when probabilities of the source symbols are all negative powers of two. Examples of a negative power of two are 10,.04,.03, and .03. Example 2. Calculate the entropy of the probability distribution (1/2,1/4, Figure 8.2: A slightly more involved Huffman code with 8 symbols. Note that in this example, at the stage when we combined the node with probability 0.21 (Huffman algorithm. Huffman example step by step. Making binary codes from probabilities. We have a text like "aaabc", with the probabilities you can see For a set of symbols with a uniform probability distribution and a number of members which is a power of two, Huffman coding is equivalent to simple binary Choosing the two nodes with minimum associated probabilities. (and creating a parent node, etc). − Use heap data-structure for this part. − This is done N −