Title :
A low-complexity decoding algorithm for systematic binary deterministic rateless codes
Author :
Xincheng Zhang ; Bo Li ; Dengsheng Lin ; Shaoqian Li
Author_Institution :
Nat. Key Lab. of Sci. & Technol. on Commun., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
In this paper, we propose two low-complexity decoding algorithms for systematic binary deterministic rateless codes. One is based on segmentation available for large information block. Segmentation-based decoding algorithm can dramatically reduce the complexity on solving inverse of matrix, which dominates the complexity of decoding. Another is based on enumeration for small information block. Enumeration-based decoding algorithm can avoid solving the inverse of matrix, which is of advantage in term of complexity.
Keywords :
binary codes; decoding; matrix algebra; decoding complexity; enumeration based decoding; low-complexity decoding algorithm; matrix inverse; segmentation based decoding; systematic binary deterministic rateless codes; Complexity theory; Decoding; Encoding; Equations; Network coding; Systematics; Vectors;
Conference_Titel :
Communications, Circuits and Systems (ICCCAS), 2013 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-3050-0
DOI :
10.1109/ICCCAS.2013.6765275