scholarly journals A weighted group shuffled decoding for low-density parity-check codes

Author(s):  
Fatima Zahrae Zenkouar ◽  
Mustapha El Alaoui ◽  
Said Najah

In this paper, we have developed several concepts such as the tree concept, the short cycle concept and the group shuffling concept of a propagation cycle to decrypt low-density parity-check (LDPC) codes. Thus, we proposed an algorithm based on group shuffling propagation where the probability of occurrence takes exponential form exponential factor appearance probability belief propagation-group shuffled belief propagation (EFAP-GSBP). This algorithm is used for wireless communication applications by providing improved decryption performance with low latency. To demonstrate the effectiveness of our suggested technique EFAP-GSBP, we ran numerous simulations that demonstrated that our algorithm is superior to the traditional BP/GSBP algorithm for decrypting LPDC codes in both regular and non-regular forms

2017 ◽  
Vol 11 (22) ◽  
pp. 1065-1073
Author(s):  
Yenny Alexandra Avendano Martinez ◽  
Octavio Jose Salcedo Parra ◽  
Giovanny Mauricio Tarazona Bermudez

LDPC (Low Density Parity Check Codes) is a set of algorithms that send, receive and correct in a noise environment, frames transmitted in a LAN environment. This article demonstrates the high performance of the LDPC in environments of noise, compared to the CRC error detection code highly currently implemented, in this way the efficiency of LDPC is shown specifically over the 802. 11n protocol.


2008 ◽  
Vol 17 (02) ◽  
pp. 333-351 ◽  
Author(s):  
K. M. S. SOYJAUDAH ◽  
P. C. CATHERINE

We introduce a recovery algorithm for low-density parity-check codes that provides substantial coding gain over the conventional method. Concisely, it consists of an inference procedure based on successive decoding rounds using different subsets of bit nodes from the bipartite graph representing the code. The technique also sheds light on certain characteristics of the sum–product algorithm and effectively copes with the problems of trapping sets, cycles, and other anomalies that adversely affect the performance LDPC codes.


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

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