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  2. Shannon–Fano coding - Wikipedia

    en.wikipedia.org/wiki/ShannonFano_coding

    Unfortunately, ShannonFano coding does not always produce optimal prefix codes; the set of probabilities {0.35, 0.17, 0.17, 0.16, 0.15} is an example of one that will be assigned non-optimal codes by ShannonFano coding. Fano's version of ShannonFano coding is used in the IMPLODE compression method, which is part of the ZIP file format ...

  3. Shannon coding - Wikipedia

    en.wikipedia.org/wiki/Shannon_coding

    ShannonFano coding methods gave rise to the field of information theory and without its contributions, the world would not have any of the many successors; for example Huffman coding, or arithmetic coding.

  4. Huffman coding - Wikipedia

    en.wikipedia.org/wiki/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 Construction of Minimum-Redundancy Codes".

  5. Shannon–Fano–Elias coding - Wikipedia

    en.wikipedia.org/wiki/ShannonFano–Elias_coding

    ShannonFano–Elias coding produces a binary prefix code, allowing for direct decoding. Let bcode(x) be the rational number formed by adding a decimal point before a binary code. For example, if code(C) = 1010 then bcode(C) = 0.1010. For all x, if no y exists such that

  6. Entropy coding - Wikipedia

    en.wikipedia.org/wiki/Entropy_coding

    More precisely, the source coding theorem states that for any source distribution, the expected code length satisfies ⁡ [(())] ⁡ [⁡ (())], where is the number of symbols in a code word, is the coding function, is the number of symbols used to make output codes and is the probability of the source symbol. An entropy coding attempts to ...

  7. Prefix code - Wikipedia

    en.wikipedia.org/wiki/Prefix_code

    Huffman coding is a more sophisticated technique for constructing variable-length prefix codes. The Huffman coding algorithm takes as input the frequencies that the code words should have, and constructs a prefix code that minimizes the weighted average of the code word lengths. (This is closely related to minimizing the entropy.)

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  9. David A. Huffman - Wikipedia

    en.wikipedia.org/wiki/David_A._Huffman

    Huffman came up with the algorithm when a professor offered students to either take the traditional final exam, or improve a leading algorithm for data compression. [5] Huffman reportedly was more proud of his work "The Synthesis of Sequential Switching Circuits," [ 1 ] which was the topic of his 1953 MIT thesis (an abridged version of which ...

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