Huffman Tree. Huffman coding assigns codes to characters such that the length of the code depends on the relative frequency or weight of the corresponding character. Huffman coding first creates a tree using the frequencies of the character and then generates code for each character.
Start with a fixed huffman tree. Total size = (45+13+12+16+9+5)*10^3 total size = 10^5 bits. In computer science and information theory, a huffman code is a particular type of optimal prefix code that is commonly used for lossless data compression. Requires bits = 10^5*3 = 3,00,000.
The algorithm for huffman coding generates a binary tree whose left and right branches are labeled by 0 and 1 respectively as shown in the diagram figure 1:
We will then do the same for adaptive at the end, you can further explore how static vs. In this assignment, you will utilize your knowledge about using a binary tree for coding, all characters are stored at the leaves of a tree. The tree must have the same special properties like it was defined for encoding. Huffman tree or huffman coding tree defines as a full binary tree in which each leaf of the tree corresponds to a letter in the given alphabet.