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  2. Decoding methods - Wikipedia

    en.wikipedia.org/wiki/Decoding_methods

    Hence, if we were lucky that these positions of the received word contained no errors, and hence equalled the positions of the sent codeword, then we may decode. If t {\displaystyle t} errors occurred, the probability of such a fortunate selection of columns is given by ( n − t k ) / ( n k ) {\displaystyle \textstyle {\binom {n-t}{k}}/{\binom ...

  3. Yashavant Kanetkar - Wikipedia

    en.wikipedia.org/wiki/Yashavant_Kanetkar

    Yashavant Kanetkar is an Indian computer science author, known for his books on programming languages. He has authored several books on C, C++, VC++, C#, .NET, DirectX and COM programming.

  4. Abstract syntax tree - Wikipedia

    en.wikipedia.org/wiki/Abstract_syntax_tree

    An abstract syntax tree (AST) is a data structure used in computer science to represent the structure of a program or code snippet. It is a tree representation of the abstract syntactic structure of text (often source code) written in a formal language.

  5. Data structure - Wikipedia

    en.wikipedia.org/wiki/Data_structure

    A data structure known as a hash table.. In computer science, a data structure is a data organization and storage format that is usually chosen for efficient access to data. [1] [2] [3] More precisely, a data structure is a collection of data values, the relationships among them, and the functions or operations that can be applied to the data, [4] i.e., it is an algebraic structure about data.

  6. Heuristic (computer science) - Wikipedia

    en.wikipedia.org/wiki/Heuristic_(computer_science)

    In mathematical optimization and computer science, heuristic (from Greek εὑρίσκω "I find, discover" [1]) is a technique designed for problem solving more quickly when classic methods are too slow for finding an exact or approximate solution, or when classic methods fail to find any exact solution in a search space.

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  8. Viterbi decoder - Wikipedia

    en.wikipedia.org/wiki/Viterbi_decoder

    For an arbitrary rate, an accurate rule of thumb is 2.5(K - 1)/(1−r) where r is the code rate. [ 1 ] However, computing the node which has accumulated the largest cost (either the largest or smallest integral path metric) involves finding the maxima or minima of several (usually 2 K -1 ) numbers, which may be time consuming when implemented ...

  9. Consistent Overhead Byte Stuffing - Wikipedia

    en.wikipedia.org/wiki/Consistent_Overhead_Byte...

    Although HDLC framing has an overhead of <1% in the average case, it suffers from a very poor worst-case overhead of 100%; for inputs that consist entirely of bytes that require escaping, HDLC byte stuffing will double the size of the input. The COBS algorithm, on the other hand, tightly bounds the worst-case overhead.