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World Academy of Science, Engineering and Technology International Journal of Computer and Information Engineering Vol:5, No:3, 2011Design of Encoding Calculator Software for Huffman and ShannonFano
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How to fill out huffman and shannon-fano algorithms

01
To fill out the Huffman algorithm, follow these steps:
02
Start by creating a frequency table for each character in the input data.
03
Sort the frequency table in ascending order.
04
Combine the two characters with the lowest frequencies into a single node, and update the frequency of the new node.
05
Repeat step 3 until all nodes are combined into a single tree.
06
Assign '0' to the left branch and '1' to the right branch of each node in the tree, creating the Huffman codes.
07
Encode the input data using the generated Huffman codes.
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To fill out the Shannon-Fano algorithm, follow these steps:
10
Start by creating a frequency table for each character in the input data.
11
Sort the frequency table in descending order.
12
Split the frequency table into two subsets, aiming for a relatively equal sum of frequencies in each subset.
13
Assign '0' to the first subset and '1' to the second subset.
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Repeat step 3 and 4 for each subset until all characters are assigned codes.
15
Encode the input data using the generated Shannon-Fano codes.

Who needs huffman and shannon-fano algorithms?

01
Huffman and Shannon-Fano algorithms are commonly used in data compression and coding applications.
02
They are useful for reducing the size of data files, improving efficiency in data transmission, and minimizing storage requirements.
03
These algorithms are particularly relevant in areas where bandwidth or storage resources are limited, such as telecommunications, network protocols, and file compression applications.
04
Developers, researchers, and anyone working with data compression techniques can benefit from using Huffman and Shannon-Fano algorithms.
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Huffman and Shannon-Fano algorithms are methods used for data compression in information theory and computer science.
Developers, programmers, and individuals working with data compression techniques may be required to use Huffman and Shannon-Fano algorithms.
Huffman and Shannon-Fano algorithms are implemented through coding or software programs that compress data by assigning variable length codes to characters based on their frequency in the input data.
The purpose of Huffman and Shannon-Fano algorithms is to reduce the size of data files for efficient storage and transmission.
The input data, frequency of characters, assigned codes, and compressed output data are important information that must be included in Huffman and Shannon-Fano algorithms.
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