Modern-Driven Deep Learning for Belief Propagation LDPC Decoding

2022 ◽  
pp. 251-257
Author(s):  
Yiduo Tang ◽  
Lin Zhou ◽  
Shuying Zhang ◽  
Yan Chen
Keyword(s):  
Deep Learning ◽  
Belief Propagation ◽  
Ldpc Decoding

Design of Modified Minsum Decoder of LDPC Code in the Simplified Difference-Domain

2013 ◽  
Vol 385-386 ◽  
pp. 1576-1581
Author(s):  
Zhong Xun Wang ◽  
Xing Long Gao
Keyword(s):  
Belief Propagation ◽  
Additive White Gaussian Noise ◽  
Ldpc Code ◽  
Phase Shift Keying ◽  
Computation Complexity ◽  
Decoding Algorithm ◽  
Ldpc Decoding ◽  
Shift Keying ◽  
Log Domain ◽  
Binary Phase Shift Keying

In this paper, we propose the modified minsum decoding algorithm of LDPC(Low-Density Parity-Check) code in the simplified difference-domain on the basis of detailed analysis of LDPC decoding algorithm in difference-domain. The simulation indicates that the proposed decoding algorithm offers almost no performance degradation compared with the BP(Belief Propagation) decoding algorithm in log-domain and the decoding algorithm in difference-domain and offers better performance than minsum decoding algorithm in log-domain and greatly reduces the computation complexity in AWGN(Additive White Gaussian Noise) channel and under BPSK(Binary Phase Shift Keying) modulation.

Deep Learning-Aided Belief Propagation Decoder for Polar Codes

2020 ◽  
Vol 10 (2) ◽  
pp. 189-203
Author(s):  
Weihong Xu ◽  
Xiaosi Tan ◽  
Yair Be'ery ◽  
Yeong-Luh Ueng ◽  
Yongming Huang ◽  
...  
Keyword(s):  
Deep Learning ◽  
Belief Propagation ◽  
Polar Codes
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