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  2. Truncated binary encoding - Wikipedia

    en.wikipedia.org/wiki/Truncated_binary_encoding

    Truncated binary encoding is an entropy encoding typically used for uniform probability distributions with a finite alphabet. It is parameterized by an alphabet with total size of number n . It is a slightly more general form of binary encoding when n is not a power of two .

  3. Golomb coding - Wikipedia

    en.wikipedia.org/wiki/Golomb_coding

    Golomb coding is a lossless data compression method using a family of data compression codes invented by Solomon W. Golomb in the 1960s. Alphabets following a geometric distribution will have a Golomb code as an optimal prefix code, [1] making Golomb coding highly suitable for situations in which the occurrence of small values in the input stream is significantly more likely than large values.

  4. Prefix code - Wikipedia

    en.wikipedia.org/wiki/Prefix_code

    Truncated binary encoding is a straightforward generalization of fixed-length codes to deal with cases where the number of symbols n is not a power of two. Source symbols are assigned codewords of length k and k+1, where k is chosen so that 2 k < n ≤ 2 k+1.

  5. Unary coding - Wikipedia

    en.wikipedia.org/wiki/Unary_coding

    Unary coding, [nb 1] or the unary numeral system and also sometimes called thermometer code, is an entropy encoding that represents a natural number, n, with a code of length n + 1 ( or n), usually n ones followed by a zero (if natural number is understood as non-negative integer) or with n − 1 ones followed by a zero (if natural number is understood as strictly positive integer).

  6. Binary code - Wikipedia

    en.wikipedia.org/wiki/Binary_code

    The modern binary number system, the basis for binary code, is an invention by Gottfried Leibniz in 1689 and appears in his article Explication de l'Arithmétique Binaire (English: Explanation of the Binary Arithmetic) which uses only the characters 1 and 0, and some remarks on its usefulness. Leibniz's system uses 0 and 1, like the modern ...

  7. Signed number representations - Wikipedia

    en.wikipedia.org/wiki/Signed_number_representations

    In the base −2 representation, a signed number is represented using a number system with base −2. In conventional binary number systems, the base, or radix, is 2; thus the rightmost bit represents 2 0, the next bit represents 2 1, the next bit 2 2, and so on. However, a binary number system with base −2 is also possible.

  8. Gray code - Wikipedia

    en.wikipedia.org/wiki/Gray_code

    The binary-reflected Gray code list for n bits can be generated recursively from the list for n − 1 bits by reflecting the list (i.e. listing the entries in reverse order), prefixing the entries in the original list with a binary 0, prefixing the entries in the reflected list with a binary 1, and then concatenating the original list with the ...

  9. BCH code - Wikipedia

    en.wikipedia.org/wiki/BCH_code

    This encoding method leverages the fact that subtracting the remainder from a dividend results in a multiple of the divisor. Hence, if we take our message polynomial p ( x ) {\displaystyle p(x)} as before and multiply it by x n − k {\displaystyle x^{n-k}} (to "shift" the message out of the way of the remainder), we can then use Euclidean ...