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 ?
This webinar will offer examples of Huffman coding and dictionary methods that fuel the popular dominant methods of Lemple and Ziv.
Further, an improved version of the Huffman coding method is described, which has significantly lower memory requirements than ordinary Huffman and is applicable to more generic data types, such as packet headers, where it can give a better compression ratio.
Huffman compression by Huffman coding (Huffman coding) in the fifties of last century, Huffman coding is a kind of variable length coding (VLC).
Huffman coding is based on the probability of the source signal is encoded to appear shorter the higher the probability of symbol for the design of the code word, on the contrary the smaller the probability of the symbol, its corresponding code word is the longer, thus average less yards long.
Figure 5 a, b, c, d four nodes can be Huffman coding and encoding of a 0, b encoded as 10, c is encoded as 110, d is encoded as 111.
Huffman coding is a statistical technique that attempts to reduce the amount of bits by encoding most frequently occurring symbols with shorter codes and longer codes for less significant symbols.
Concerning the Arabic texts compression, there are some tools supporting the Arabic language without taking into account its characteristics, such as Run Length Encoding, Huffman Coding, Arithmetic Coding, LZ-77 Encoding [6,7], LZH, LZW Coding [3,8].
Further, Huffman coding of indices generated by the encoder is used to achieve better compression ratio.
BSAC replaces the Huffman coding portion of the conventional AAC standard used for noiseless coding of scale factors and spectral data.
The output of Huffman coding consists of Bit Length Table (BLT) and the actual encoded sequence.
3, ZIP/LHA uses two main compression methods, LZSS and Huffman coding.
As for data hiding for Huffman coding, we may be able to embed a secret message in a way that the eavesdropper cannot determine if the secret message is embedded or not if there is diversity in the existing implementations of Huffman coding.