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code which is executed but has no external effect (e.g., does not change the output produced by a program; known as dead code). A NOP instruction might be considered to be redundant code that has been explicitly inserted to pad out the instruction stream or introduce a time delay, for example to create a timing loop by "wasting time".
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.
While different in nature, data redundancy also occurs in database systems that have values repeated unnecessarily in one or more records or fields, ...
Ie for DM is 301 % k is the size of the message % n is the total size (k+redundant) % Example: msg = uint8('Test') % enc_msg = rsEncoder(msg, 8, 301, 12, numel(msg)); % Get the alpha alpha = gf (2, m, prim_poly); % Get the Reed-Solomon generating polynomial g(x) g_x = genpoly (k, n, alpha); % Multiply the information by X^(n-k), or just pad ...
Every step, the appropriate multiple of the polynomial is subtracted to make the zero group one bit longer, and the unchanged group becomes one bit shorter, until only the final remainder is left. In the msbit-first example, the remainder polynomial is x 7 + x 5 + x {\displaystyle x^{7}+x^{5}+x} .
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".
Database normalization is the process of structuring a relational database accordance with a series of so-called normal forms in order to reduce data redundancy and improve data integrity. It was first proposed by British computer scientist Edgar F. Codd as part of his relational model .
The Java programming language does not guarantee linearizability, or even sequential consistency, [12] when reading or writing fields of shared objects, and this is to allow for compiler optimizations (such as register allocation, common subexpression elimination, and redundant read elimination) all of which work by reordering memory reads ...