- Tytuł:
- Support Vector Machine based Decoding Algorithm for BCH Codes
- Autorzy:
-
Sudharsan, V.
Yamuna, B. - Powiązania:
- https://bibliotekanauki.pl/articles/958048.pdf
- Data publikacji:
- 2016
- Wydawca:
- Instytut Łączności - Państwowy Instytut Badawczy
- Tematy:
-
BCH codes
Chase-2 algorithm
coding gain
kernel
multi-class classification
Soft Decision Decoding
Support Vector Machine - Opis:
- Modern communication systems require robust, adaptable and high performance decoders for efficient data transmission. Support Vector Machine (SVM) is a margin based classification and regression technique. In this paper, decoding of Bose Chaudhuri Hocquenghem codes has been approached as a multi-class classification problem using SVM. In conventional decoding algorithms, the procedure for decoding is usually fixed irrespective of the SNR environment in which the transmission takes place, but SVM being a machinelearning algorithm is adaptable to the communication environment. Since the construction of SVM decoder model uses the training data set, application specific decoders can be designed by choosing the training size efficiently. With the soft margin width in SVM being controlled by an equation, which has been formulated as a quadratic programming problem, there are no local minima issues in SVM and is robust to outliers.
- Źródło:
-
Journal of Telecommunications and Information Technology; 2016, 2; 108-112
1509-4553
1899-8852 - Pojawia się w:
- Journal of Telecommunications and Information Technology
- Dostawca treści:
- Biblioteka Nauki
Artykuł