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Huffman coding

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. The process of finding or using such a code is Huffman coding, an algorithm developed by David A. Huffman while he was a Sc.D. student at MIT, and published in the 1952 paper "A Method for the…

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Huffman coding

Nodes80
Edges79
Triples94
Avg. degree1.98
Density0.025
Components1

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Huffman coding

Top relations

has application · 12
Huffman coding → Arithmetic, Deflate, Huffman, Huffman's, In, JPEG, MP3, PKZIP's, Prefix, Therefore, They, This
related to Optimal alphabetic binary trees (Hu–Tucker coding) · 12
Huffman coding → Adriano Garsia, Alan Tucker, Garsia, Hu, Huffman, In, Michelle, These, This, Thus, Tucker, Wachs
related to Huffman coding with unequal letter costs · 11
Huffman coding → An, Golin, Huffman, In, Karp, Mordecai, Morse, No, Richard, The, When
related to Optimality · 9
Huffman coding → Also, Although, As, However, Huffman, Huffman's, Other, Such, Thus
related to The canonical Huffman code · 9
Huffman coding → But, Fano, Hu, Huffman, If, Shannon, The, The Huffman, Tucker
related to Example · 6
Huffman coding → For, Huffman, If, In, Shannon, We
related to Length-limited Huffman coding/minimum variance Huffman coding · 6
Huffman coding → Huffman, Huffman's, Its, Length-limited Huffman, No, The
related to n-ary Huffman coding · 6
Huffman coding → For, Huffman, In, Note, The, This
related to Huffman template algorithm · 4
Huffman coding → Huffman, Most, Such, The Huffman
related to Variations · 4
Huffman coding → Huffman, Huffman-like, Many, Note

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Important terminology

huffman coding code symbols tree algorithm probability optimal node symbol displaystyle compression codes length number method nodes encoding two input

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Huffman codingis avariant where the goal is still to achieve a minimum weighted path length0.90text
arithmetic coding often have better compression capability.Although both aforementioned methods can combine an arbitrary number of symbols for more efficient codinginstance ofOther methods0.80text
generally adapt to the actual input statisticsinstance ofOther methods0.80text
arithmetic coding does so without significantly increasing its computational or algorithmic complexitiesinstance ofOther methods0.80text
Huffman codes can only have an integer number of bitsinstance ofwhereas code words in prefix codes0.80text
JPEGinstance ofand multimedia codecs0.80text
MP3 have a front-end modelinstance ofand multimedia codecs0.80text
quantization followed by the use of prefix codesinstance ofand multimedia codecs0.80text
Huffman codinghas applicationArithmetic0.60section
Huffman codinghas applicationHuffman0.60section
Huffman codinghas applicationIn0.60section
Huffman codinghas applicationTherefore0.60section

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