3 citations · 3 across the 10 of their papers we have counts for
10 papers
Quasi-Belief Propagation and Neural-Network Check Node Processing for BCH Codes
Guangwen Li
This paper proposes a quasi-BP decoding scheme for BCH codes that preserves the parallelizable structure of belief propagation while exploiting code automorphisms and optimized red…
Quasi-BP for BCH Codes and its Optimization
Guangwen Li
This paper proposes a quasi-belief propagation decoder for BCH codes that systematically integrates domain knowledge--specifically, channel noise variance, the cyclic property of t…
Effective Application of Normalized Min-Sum Decoding for Short BCH Codes
Guangwen Li, Xiao Yu
This paper introduces an enhanced normalized min-sum decoder designed to address the performance and complexity challenges associated with developing parallelizable decoders for sh…
Boosting Ordered Statistics Decoding of Short LDPC Codes with Simple Neural Network Models
Guangwen Li, Xiao Yu
Ordered statistics decoding has been instrumental in addressing decoding failures that persist after normalized min-sum decoding in short low-density parity-check codes. Despite it…
The impact when neural min-sum variant meets ordered statistics decoding of LDPC codes
Guangwen Li, Xiao Yu
This paper introduces three key initiatives in the pursuit of a hybrid decoding framework characterized by superior decoding performance, high throughput, low complexity, and indep…
Deep learning based enhancement of ordered statistics decoding of short LDPC codes
Guangwen Li, Xiao Yu
In the search for highly efficient decoders for short LDPC codes approaching maximum likelihood performance, a relayed decoding strategy, specifically activating the ordered statis…