
An adaptive-normalized min-sum (AN-MS) algorithm for decoding low-density parity-check (LDPC) codes is proposed. Unlike the normalized min-sum (NMS) algorithm, the normalization factor is adaptively adjusted according to the state of check nodes in each iteration. Simulation results show that the proposed AN-MS algorithm can perform better than the NMS algorithm while still preserving the low complexity of the min-sum algorithm.
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