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  2. Shannon–Fano coding - Wikipedia

    en.wikipedia.org/wiki/Shannon–Fano_coding

    Unfortunately, Shannon–Fano 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 Shannon–Fano coding. Fano's version of Shannon–Fano coding is used in the IMPLODE compression method, which is part of the ZIP file format ...

  3. Shannon–Fano–Elias coding - Wikipedia

    en.wikipedia.org/wiki/Shannon–Fano–Elias_coding

    Shannon–Fano–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

  4. Shannon coding - Wikipedia

    en.wikipedia.org/wiki/Shannon_coding

    Shannon–Fano 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.

  5. Robert Fano - Wikipedia

    en.wikipedia.org/wiki/Robert_Fano

    Fano was known principally for his work on information theory. He developed Shannon–Fano coding [12] in collaboration with Claude Shannon, and derived the Fano inequality. He also invented the Fano algorithm and postulated the Fano metric. [13] In the early 1960s, Fano was involved in the development of time-sharing computers.

  6. List of algorithms - Wikipedia

    en.wikipedia.org/wiki/List_of_algorithms

    Shannon–Fano coding; Shannon–Fano–Elias coding: precursor to arithmetic encoding [5] Entropy coding with known entropy characteristics. Golomb coding: form of entropy coding that is optimal for alphabets following geometric distributions; Rice coding: form of entropy coding that is optimal for alphabets following geometric distributions

  7. Prediction by partial matching - Wikipedia

    en.wikipedia.org/wiki/Prediction_by_partial_matching

    Prediction by partial matching (PPM) is an adaptive statistical data compression technique based on context modeling and prediction.PPM models use a set of previous symbols in the uncompressed symbol stream to predict the next symbol in the stream.

  8. List of terms relating to algorithms and data structures

    en.wikipedia.org/wiki/List_of_terms_relating_to...

    The NIST Dictionary of Algorithms and Data Structures [1] is a reference work maintained by the U.S. National Institute of Standards and Technology.It defines a large number of terms relating to algorithms and data structures.

  9. Talk:Shannon–Fano coding - Wikipedia

    en.wikipedia.org/wiki/Talk:Shannon–Fano_coding

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