EBK DATA STRUCTURES AND ALGORITHMS IN C
EBK DATA STRUCTURES AND ALGORITHMS IN C
4th Edition
ISBN: 9781285415017
Author: DROZDEK
Publisher: YUZU
Students have asked these similar questions
We have discussed Huffman encoding for data compression in lecture and tutorial, now we can implement the Huffman decoding for data extraction to recover the original data. To decode the encoded data, we require the Huffman tree. We iterate through the binary encoded data. To find character corresponding to current bits, we use following simple steps. We start from root and do following until a leaf is found. If current bit is 0, we move to left node of the tree. If the bit is 1, we move to right node of the tree. If during traversal, we encounter a leaf node, we print character of that particular leaf node and then again continue the iteration of the encoded data starting from step 1.   Your task is to implement the Huffman decoding algorithm from the above steps in a C++ program with Huffman decoding function and a main function to decode a compressed string based on Huffman encoding and display the original string.
Question 2 Given a Huffman code as a binary tree, show that you can decode in O(n) time.
For the following list of letter frequencies, create a Huffman tree, and use it to determine the encoding for each of the letters. After you’ve written down the encoding for each letter, determine the average number of bits needed to encode ANY letter using this encoding.A: .33 B: .10 C: .08 D: .12 E: .37
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