Research on Decoding Algorithm forï¼ˆn, 1, mï¼‰ Convolutional Code
Yamei Zou, Hongqiao Pu, Zhiqiang Xu
Available Online March 2016.
- https://doi.org/10.2991/icmmct-16.2016.125How to use a DOI?
- Convolutional code; Decoding; Syndromeï¼›Error correction.
- This paper takes (2, 1, 5) convolutional codes as example, disscusses the decoding algorithm for (n, 1, m) convolutional codes according to the principle of the reversibility of the modulo 2 operation.We designed the decoder and the syndrome of the (2, 1, 5) convolutional codesbased on its encoder firstly; then studied on the error correction methodused for one or two bits error within a constraint lengthaccording to the corresponding relationships between syndrome and the type of error codes; finally validity of this algorithm is verified through the computer simulation.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Yamei Zou AU - Hongqiao Pu AU - Zhiqiang Xu PY - 2016/03 DA - 2016/03 TI - Research on Decoding Algorithm forï¼ˆn, 1, mï¼‰ Convolutional Code BT - Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology PB - Atlantis Press SP - 631 EP - 636 SN - 2352-5401 UR - https://doi.org/10.2991/icmmct-16.2016.125 DO - https://doi.org/10.2991/icmmct-16.2016.125 ID - Zou2016/03 ER -