The min-sum (MS) algorithm can decode Low-density parity-check (LDPC) codes with low
computational complexity at the cost of slight performance loss. It is an effective way to …

The trade-off between decoding performance and hardware costs has been a long-standing
challenge in Low-Density Parity Check (LDPC) decoding. Based on model-driven …

In this paper, we discuss the perspectives of utilizing deep neural networks (DNN) to decode
Low-Density Parity Check (LDPC) codes. The main idea is to build a neural network to learn …

Recently, neural networks have improved MinSum message-passing decoders for low-
density parity-check (LDPC) codes by multiplying or adding weights to the messages, where …

In this paper, we propose an improvement of the normalized min-sum (MS) decoding
algorithm and novel MS decoder architectures with reduced word length using nonuniform …

Non-binary low-density parity-check codes are robust to various channel impairments.
However, based on the existing decoding algorithms, the decoder implementations are …

Nonbinary low-density parity-check (NB-LDPC) codes are an extension of binary LDPC
codes with significantly better performance. Although various kinds of low-complexity …

Limitations on hardware resource consumption and throughput make the use of non-binary
low-density parity-check (NB-LDPC) codes challenging in practical applications. This brief …

Low-density parity-check (LDPC) codes are used to correct encoding errors that occur
during transmission, which enjoys an excellent performance. The performance of existing …

Non-binary low-density parity-check (NB-LDPC) codes are robust to various channel
impairments. In this paper, we present a new decoding algorithm for the NB-LDPC decoder …