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A simple and inefficient way to see where one string occurs inside another is to check at each index, one by one. First, we see if there is a copy of the needle starting at the first character of the haystack; if not, we look to see if there's a copy of the needle starting at the second character of the haystack, and so forth.
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.
Google Search adopted word stemming in 2003. [19] Previously a search for "fish" would not have returned "fishing". Other software search algorithms vary in their use of word stemming. Programs that simply search for substrings will obviously find "fish" in "fishing" but when searching for "fishes" will not find occurrences of the word "fish".
Θ (k+m) [ note 2] In computer science, the Boyer–Moore string-search algorithm is an efficient string-searching algorithm that is the standard benchmark for practical string-search literature. [ 1] It was developed by Robert S. Boyer and J Strother Moore in 1977. [ 2] The original paper contained static tables for computing the pattern ...
A Viterbi decoder uses the Viterbi algorithm for decoding a bitstream that has been encoded using a convolutional code or trellis code . There are other algorithms for decoding a convolutionally encoded stream (for example, the Fano algorithm ). The Viterbi algorithm is the most resource-consuming, but it does the maximum likelihood decoding.
Hardware-wise, this turbo code encoder consists of two identical RSC coders, C 1 and C 2, as depicted in the figure, which are connected to each other using a concatenation scheme, called parallel concatenation: In the figure, M is a memory register. The delay line and interleaver force input bits d k to appear in different sequences.
Brute-force search. In computer science, brute-force search or exhaustive search, also known as generate and test, is a very general problem-solving technique and algorithmic paradigm that consists of systematically checking all possible candidates for whether or not each candidate satisfies the problem's statement.
The C++ programming language has support for string handling, mostly implemented in its standard library. The language standard specifies several string types, some inherited from C, some designed to make use of the language's features, such as classes and RAII. The most-used of these is std::string .