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  2. Padding (cryptography) - Wikipedia

    en.wikipedia.org/wiki/Padding_(cryptography)

    The zero padding scheme has not been standardized for encryption, [citation needed] although it is specified for hashes and MACs as Padding Method 1 in ISO/IEC 10118-1 [10] and ISO/IEC 9797-1. [ 11 ] Example: In the following example the block size is 8 bytes and padding is required for 4 bytes

  3. ISO/IEC 9797-1 - Wikipedia

    en.wikipedia.org/wiki/ISO/IEC_9797-1

    To completely and unambiguously define the MAC calculation, a user of ISO/IEC 9797-1 must select and specify: The block cipher algorithm e; The padding method (1 to 3) The specific MAC algorithm (1 to 6) The length of the MAC; The key derivation method(s) if necessary, for MAC algorithms 2, 4, 5 or 6

  4. Reed–Solomon error correction - Wikipedia

    en.wikipedia.org/wiki/Reed–Solomon_error...

    The Reed–Solomon code is a [n, k, n − k + 1] code; in other words, it is a linear block code of length n (over F) with dimension k and minimum Hamming distance = + The Reed–Solomon code is optimal in the sense that the minimum distance has the maximum value possible for a linear code of size ( n , k ); this is known as the Singleton bound .

  5. Block code - Wikipedia

    en.wikipedia.org/wiki/Block_code

    The block length of a block code is the number of symbols in a block. Hence, the elements c {\displaystyle c} of Σ n {\displaystyle \Sigma ^{n}} are strings of length n {\displaystyle n} and correspond to blocks that may be received by the receiver.

  6. Multidimensional parity-check code - Wikipedia

    en.wikipedia.org/wiki/Multidimensional_parity...

    A multidimensional parity-check code (MDPC) is a type of error-correcting code that generalizes two-dimensional parity checks to higher dimensions. It was developed as an extension of simple parity check methods used in magnetic recording systems and radiation-hardened memory designs. [1]

  7. Error correction code - Wikipedia

    en.wikipedia.org/wiki/Error_correction_code

    The code-rate is hence a real number. A low code-rate close to zero implies a strong code that uses many redundant bits to achieve a good performance, while a large code-rate close to 1 implies a weak code. The redundant bits that protect the information have to be transferred using the same communication resources that they are trying to protect.

  8. Hamming distance - Wikipedia

    en.wikipedia.org/wiki/Hamming_distance

    For a fixed length n, the Hamming distance is a metric on the set of the words of length n (also known as a Hamming space), as it fulfills the conditions of non-negativity, symmetry, the Hamming distance of two words is 0 if and only if the two words are identical, and it satisfies the triangle inequality as well: [2] Indeed, if we fix three words a, b and c, then whenever there is a ...

  9. Convolutional code - Wikipedia

    en.wikipedia.org/wiki/Convolutional_code

    Convolutional code with any code rate can be designed based on polynomial selection; [15] however, in practice, a puncturing procedure is often used to achieve the required code rate. Puncturing is a technique used to make a m/n rate code from a "basic" low-rate (e.g., 1/n) code. It is achieved by deleting of some bits in the encoder output.