Title
Algebraic decoding of the (41, 21, 9) quadratic residue code without determining the unknown syndromes
Abstract
Quadratic residue (QR) codes have a high prospect on error correction for reliable data conveyance over channel with noise. This paper presents a fast algebraic scheme for decoding the binary (41, 21, 9) QR code for correcting up to 4 errors on an one-case-by-one-case basis, in which the calculation of unknown syndromes is eliminated and the conditions for checking for the various numbers of errors that exist in the received word are also simplified compared to those from Lin T. C. et al.’s algorithm, which is a traditional algebraic decoding algorithm (ADA). The computational complexity of the decoder performing the binary (41, 21, 9) QR code is analyzed thoroughly, which demonstrates that the proposed decoding scheme is faster, simpler, and more suitable for implementation than Lin T. C. et al.’s algorithm. Numerical emulation results demonstrate that the proposed decoding scheme achieves the same error-rate performance as Lin T. C. et al.’s algorithm, but it has a significantly decreased the complexity of this decoder in terms of the CPU time.
Year
DOI
Venue
2020
10.1016/j.phycom.2020.101135
Physical Communication
Keywords
DocType
Volume
Error pattern,Fast algebraic decoding algorithm,Quadratic residue codes,Syndrome
Journal
42
ISSN
Citations 
PageRank 
1874-4907
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Chunlan Luo100.34
Yi Wu28518.02
Hsin-Chiu Chang3337.58
Yang Zheng421633.97
Song Xing53611.15