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  2. Kraft–McMillan inequality - Wikipedia

    en.wikipedia.org/wiki/Kraft–McMillan_inequality

    If Kraft's inequality holds with strict inequality, the code has some redundancy. If Kraft's inequality holds with equality, the code in question is a complete code. [2] If Kraft's inequality does not hold, the code is not uniquely decodable. For every uniquely decodable code, there exists a prefix code with the same length distribution.

  3. Variable-length code - Wikipedia

    en.wikipedia.org/wiki/Variable-length_code

    A code is uniquely decodable if its extension is § non-singular.Whether a given code is uniquely decodable can be decided with the Sardinas–Patterson algorithm.. The mapping = {,,} is uniquely decodable (this can be demonstrated by looking at the follow-set after each target bit string in the map, because each bitstring is terminated as soon as we see a 0 bit which cannot follow any ...

  4. Sardinas–Patterson algorithm - Wikipedia

    en.wikipedia.org/wiki/Sardinas–Patterson_algorithm

    Kraft's inequality in some cases provides a quick way to exclude the possibility that a given code is uniquely decodable. Prefix codes and block codes are important classes of codes which are uniquely decodable by definition. Timeline of information theory; Post's correspondence problem is similar, yet undecidable.

  5. Prefix code - Wikipedia

    en.wikipedia.org/wiki/Prefix_code

    For example, a code with code {9, 55} has the prefix property; a code consisting of {9, 5, 59, 55} does not, because "5" is a prefix of "59" and also of "55". A prefix code is a uniquely decodable code: given a complete and accurate sequence, a receiver can identify each word without requiring a special marker between words. However, there are ...

  6. Huffman coding - Wikipedia

    en.wikipedia.org/wiki/Huffman_coding

    In computer science and information theory, a Huffman code is a particular type of optimal prefix code that is commonly used for lossless data compression.The process of finding or using such a code is Huffman coding, an algorithm developed by David A. Huffman while he was a Sc.D. student at MIT, and published in the 1952 paper "A Method for the Construction of Minimum-Redundancy Codes".

  7. List decoding - Wikipedia

    en.wikipedia.org/wiki/List_decoding

    Algorithms developed for list decoding of several interesting code families have found interesting applications in computational complexity and the field of cryptography. Following is a sample list of applications outside of coding theory: Construction of hard-core predicates from one-way permutations. Predicting witnesses for NP-search problems.

  8. Hadamard code - Wikipedia

    en.wikipedia.org/wiki/Hadamard_code

    A locally decodable code is a code that allows a single bit of the original message to be recovered with high probability by only looking at a small portion of the received word. A code is q {\displaystyle q} -query locally decodable if a message bit, x i {\displaystyle x_{i}} , can be recovered by checking q {\displaystyle q} bits of the ...

  9. 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).