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- Convolutional_code abstract "In telecommunication, a convolutional code is a type of error-correcting code that generates parity symbols via the sliding application of a boolean polynomial function to a data stream. The sliding application represents the 'convolution' of the encoder over the data, which gives rise to the term 'convolutional coding.' The sliding nature of the convolutional codes facilities trellis decoding using an essentially fixed sized trellis. Trellis decoding, in turn, allows maximum likelihood soft decision decoding of convolutional code to be done with reasonable complexity. The ability to perform economical maximum likelihood soft decision decoding is one of their major benefits of convolutional codes. This is in contrast to classic block codes, which are hard decision decoded. Convolutional codes are often characterized by the base code rate and the depth (or memory) of the encoder [n,k,K]. The base code rate is typically given as n/k, where n is the input data rate and k is the output symbol rate. The depth is often called the "constraint length" 'K', where the output is a function of the previous K-1 inputs. The depth may also be given as the number of memory elements 'v' in the polynomial or the maximum possible number of states of the encoder (typically 2^v).Convolutional codes are often described as continuous. However, it may also be said that convolutional codes have arbitrary block length, rather than that they are continuous, since most real world convolution encoding is performed on blocks of data. Block processing using convolutional codes typically employs termination.The arbitrary block length of convolutional codes can also be contrasted to classic block codes, which generally have fixed block lengths that are determined by algebraic properties.The code rate of a convolutional code is commonly modified via symbol puncturing. For example, a convolutional code of base rate n/k=1/2 may be punctured to a higher rate of, for example, 7/8 simply by not transmitting a portion of code symbols. The performance of a punctured convolutional code generally scales well with the amount of parity transmitted.The ability to perform economical soft decision decoding on convolutional codes, as well as the block length and code rate flexibility of convolutional codes, makes them very popular for digital communications.".
- Convolutional_code wikiPageExternalLink www.eccpage.com.
- Convolutional_code wikiPageExternalLink itila.
- Convolutional_code wikiPageExternalLink convolutional-coding.html.
- Convolutional_code wikiPageID "40962".
- Convolutional_code wikiPageRevisionID "641695598".
- Convolutional_code hasPhotoCollection Convolutional_code.
- Convolutional_code subject Category:Error_detection_and_correction.
- Convolutional_code type Thing.
- Convolutional_code comment "In telecommunication, a convolutional code is a type of error-correcting code that generates parity symbols via the sliding application of a boolean polynomial function to a data stream. The sliding application represents the 'convolution' of the encoder over the data, which gives rise to the term 'convolutional coding.' The sliding nature of the convolutional codes facilities trellis decoding using an essentially fixed sized trellis.".
- Convolutional_code label "Codice convoluzionale".
- Convolutional_code label "Convolutional code".
- Convolutional_code label "Código convolucional".
- Convolutional_code label "Código convolucional".
- Convolutional_code label "Faltungscode".
- Convolutional_code label "Kod splotowy".
- Convolutional_code label "Konvoluční kód".
- Convolutional_code label "Свёрточный код".
- Convolutional_code label "畳み込み符号".
- Convolutional_code seeAlso Trellis_modulation.
- Convolutional_code sameAs Konvoluční_kód.
- Convolutional_code sameAs Faltungscode.
- Convolutional_code sameAs Código_convolucional.
- Convolutional_code sameAs Codice_convoluzionale.
- Convolutional_code sameAs 畳み込み符号.
- Convolutional_code sameAs Kod_splotowy.
- Convolutional_code sameAs Código_convolucional.
- Convolutional_code sameAs m.0b6xt.
- Convolutional_code sameAs Q1395022.
- Convolutional_code sameAs Q1395022.
- Convolutional_code wasDerivedFrom Convolutional_code?oldid=641695598.
- Convolutional_code isPrimaryTopicOf Convolutional_code.