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  2. Hamming (7,4) - Wikipedia

    en.wikipedia.org/wiki/Hamming(7,4)

    The first table above shows the mapping between each data and parity bit into its final bit position (1 through 7) but this can also be presented in a Venn diagram. The first diagram in this article shows three circles (one for each parity bit) and encloses data bits that each parity bit covers.

  3. Switch statement - Wikipedia

    en.wikipedia.org/wiki/Switch_statement

    A lookup table, which contains, as keys, the case values and, as values, the part under the case statement. (In some languages, only actual data types are allowed as values in the lookup table. In other languages, it is also possible to assign functions as lookup table values, gaining the same flexibility as a real switch statement.

  4. Block code - Wikipedia

    en.wikipedia.org/wiki/Block_code

    The rate of a block code is defined as the ratio between its message length and its block length: = /. A large rate means that the amount of actual message per transmitted block is high.

  5. Low-density parity-check code - Wikipedia

    en.wikipedia.org/wiki/Low-density_parity-check_code

    This LDPC code fragment represents a three-bit message encoded as six bits. Redundancy is used, here, to increase the chance of recovering from channel errors. This is a (6, 3) linear code, with n = 6 and k = 3. Again ignoring lines going out of the picture, the parity-check matrix representing this graph fragment is

  6. Lookup table - Wikipedia

    en.wikipedia.org/wiki/Lookup_table

    For data requests that fall between the table's samples, an interpolation algorithm can generate reasonable approximations by averaging nearby samples." [8] In data analysis applications, such as image processing, a lookup table (LUT) can be used to transform the input data into a more desirable output format. For example, a grayscale picture ...

  7. Error correction code - Wikipedia

    en.wikipedia.org/wiki/Error_correction_code

    In contrast, convolutional codes are typically decoded using soft-decision algorithms like the Viterbi, MAP or BCJR algorithms, which process (discretized) analog signals, and which allow for much higher error-correction performance than hard-decision decoding. Nearly all classical block codes apply the algebraic properties of finite fields ...

  8. Perfect hash function - Wikipedia

    en.wikipedia.org/wiki/Perfect_hash_function

    A perfect hash function for the four names shown A minimal perfect hash function for the four names shown. In computer science, a perfect hash function h for a set S is a hash function that maps distinct elements in S to a set of m integers, with no collisions.

  9. Error function - Wikipedia

    en.wikipedia.org/wiki/Error_function

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