scholarly journals Perturbed Adaptive Belief Propagation Decoding for High-Density Parity-Check Codes

Author(s):  
Li Deng ◽  
Zilong Liu ◽  
Yong Liang Guan ◽  
Xiaobei Liu ◽  
Chaudhry Adnan Aslam ◽  
...  
2015 ◽  
Vol 9 (18) ◽  
pp. 2259-2266
Author(s):  
Yi Gong ◽  
Guojun Han ◽  
Bin Wu ◽  
Xingcheng Liu

2007 ◽  
Vol 55 (7) ◽  
pp. 1308-1317 ◽  
Author(s):  
Nedeljko Varnica ◽  
Marc P. C. Fossorier ◽  
Aleksandar Kavcic

2013 ◽  
Vol 846-847 ◽  
pp. 925-928
Author(s):  
Li Na Wang ◽  
Xiao Liu

In this paper, an improved belief propagation decoding algorithm was proposed for low density parity check codes. In the proposed decoding process, error bits can be detected once again after hard-decision in the conventional BP decoding algorithm. The detection criterion is based on check matrix characteristics and D-value between prior probability and posterior probability. Simulation results demonstrate the performance of the improved BP decoding algorithm outperform that of the conventional BP decoding algorithm.


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