CORRECTION OF DEPENDENT ERRORS BY THE TURBOcodec based ON ATTACHED evenly convolutional codes
The organization methods of dependent (packet) error correction by the turbocodecs based both on a sub systematic convolutional codes with uniform threshold decoding algorithm and recursive systematic convolutional codes are considered. The effectiveness of the proposed methods for data coding by tw...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | Russian |
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Educational institution «Belarusian State University of Informatics and Radioelectronics»
2019-06-01
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| Series: | Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki |
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| Online Access: | https://doklady.bsuir.by/jour/article/view/667 |
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| _version_ | 1849773239024222208 |
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| author | E. G. Makeichik A. I. Korolev V. K. Kanapelka |
| author_facet | E. G. Makeichik A. I. Korolev V. K. Kanapelka |
| author_sort | E. G. Makeichik |
| collection | DOAJ |
| description | The organization methods of dependent (packet) error correction by the turbocodecs based both on a sub systematic convolutional codes with uniform threshold decoding algorithm and recursive systematic convolutional codes are considered. The effectiveness of the proposed methods for data coding by two- and three-components turbocodes is evaluated. It is found that turbocodecs, based on nested uniform and recursive convolutional codes, provide fold a decrease in 1,34 times of the transmitted information redundancy in comparison with the known principle turbocodes construction through recursive convolutional codes. |
| format | Article |
| id | doaj-art-efbf5ec96c624bc09b5e92336f307b3c |
| institution | DOAJ |
| issn | 1729-7648 |
| language | Russian |
| publishDate | 2019-06-01 |
| publisher | Educational institution «Belarusian State University of Informatics and Radioelectronics» |
| record_format | Article |
| series | Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki |
| spelling | doaj-art-efbf5ec96c624bc09b5e92336f307b3c2025-08-20T03:02:06ZrusEducational institution «Belarusian State University of Informatics and Radioelectronics»Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki1729-76482019-06-01044046666CORRECTION OF DEPENDENT ERRORS BY THE TURBOcodec based ON ATTACHED evenly convolutional codesE. G. Makeichik0A. I. Korolev1V. K. Kanapelka2Белорусский государственный университет информатики и радиоэлектроникиБелорусский государственный университет информатики и радиоэлектроникиБелорусский государственный университет информатики и радиоэлектроникиThe organization methods of dependent (packet) error correction by the turbocodecs based both on a sub systematic convolutional codes with uniform threshold decoding algorithm and recursive systematic convolutional codes are considered. The effectiveness of the proposed methods for data coding by two- and three-components turbocodes is evaluated. It is found that turbocodecs, based on nested uniform and recursive convolutional codes, provide fold a decrease in 1,34 times of the transmitted information redundancy in comparison with the known principle turbocodes construction through recursive convolutional codes.https://doklady.bsuir.by/jour/article/view/667convolutional codecheck symbolsthe code ratethreshold decodinggenerator polynomial |
| spellingShingle | E. G. Makeichik A. I. Korolev V. K. Kanapelka CORRECTION OF DEPENDENT ERRORS BY THE TURBOcodec based ON ATTACHED evenly convolutional codes Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki convolutional code check symbols the code rate threshold decoding generator polynomial |
| title | CORRECTION OF DEPENDENT ERRORS BY THE TURBOcodec based ON ATTACHED evenly convolutional codes |
| title_full | CORRECTION OF DEPENDENT ERRORS BY THE TURBOcodec based ON ATTACHED evenly convolutional codes |
| title_fullStr | CORRECTION OF DEPENDENT ERRORS BY THE TURBOcodec based ON ATTACHED evenly convolutional codes |
| title_full_unstemmed | CORRECTION OF DEPENDENT ERRORS BY THE TURBOcodec based ON ATTACHED evenly convolutional codes |
| title_short | CORRECTION OF DEPENDENT ERRORS BY THE TURBOcodec based ON ATTACHED evenly convolutional codes |
| title_sort | correction of dependent errors by the turbocodec based on attached evenly convolutional codes |
| topic | convolutional code check symbols the code rate threshold decoding generator polynomial |
| url | https://doklady.bsuir.by/jour/article/view/667 |
| work_keys_str_mv | AT egmakeichik correctionofdependenterrorsbytheturbocodecbasedonattachedevenlyconvolutionalcodes AT aikorolev correctionofdependenterrorsbytheturbocodecbasedonattachedevenlyconvolutionalcodes AT vkkanapelka correctionofdependenterrorsbytheturbocodecbasedonattachedevenlyconvolutionalcodes |