Huffman coding

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Huffman coding

(algorithm)
A data compression technique which varies the length of the encoded symbol in proportion to its information content, that is the more often a symbol or token is used, the shorter the binary string used to represent it in the compressed stream. Huffman codes can be properly decoded because they obey the prefix property, which means that no code can be a prefix of another code, and so the complete set of codes can be represented as a binary tree, known as a Huffman tree. Huffman coding was first described in a seminal paper by D.A. Huffman in 1952.

Huffman coding

A statistical compression method that converts characters into variable length bit strings. Most-frequently occurring characters are converted to shortest bit strings; least frequent, the longest. Compression takes two passes. The first pass analyzes a block of data and creates a tree model based on its contents. The second pass compresses the data via the model. Decompression decodes the variable length strings via the tree. See LZW.
References in periodicals archive ?
We can notice that best performances we had took place when there is no latency in the network (0%), where we obtained an average value of 38 fps in sending bitmap image sequences with Huffman compression, or 29 fps without compression.
The Huffman compression supports us in increasing the transmitting speed of images, therefore we managed to increase the fps number by 30%.
Comparative study of arithmetic & Huffman compression technique for enchancing security and effective bandwidth utilization in the context of ECC for text.
Huffman compression by Huffman coding (Huffman coding) in the fifties of last century, Huffman coding is a kind of variable length coding (VLC).
In describing LZW compression, Davies and Fenessy (7) note "at the beginning of the file, LZW starts to build a small table, like Huffman compression. It then adds to this table every new pattern it finds.
The space used to store the vocabulary is included in the Huffman compression ratios.
We recall that the tagged Huffman compression uses one bit of each byte in the compressed text to mark the beginning of each codeword.
The encoding is accomplished with either Huffman compression  which has recently been made one-pass and adaptive [11, 22, 37], or with arithmetic coding, as described in [1, 14, 20, 25, 26, 31-33].
By applying Huffman compression which focuses on the character/ word distribution redundancy and uses a variable length coding by giving the letters/words having high frequency smaller codes, we generate the word's coded table.
This algorithm adds a new dimension to Huffman compression algorithm by including indexes of the verses of Al-Quran into the compressed file.

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