A variable step uniform quantization(VSUQ) sum-product algorithm(SPA) was developed to reduce the hardware complexity of low-density parity-check(LDPC) code decoding.
为降低低密度奇偶检验码译码的硬件实现复杂度，提出了一种可变步长均匀量化“和积”译码算法。
The monotone sum of product expansions of monotone Boolean functions and its constructive algorithm are presented in this paper. The implementation of the algorithm is very intuitive.
本文给出单调布尔函数的一类范式——单调积之和展开式以及构造它的算法，该算法的实现是很直观的。
This article shows that the sum-product decoding algorithm for the LDCC can be improved with a local probabilistic propagation algorithm.
LDCC码的和积算法译码方法可以进一步改进为局部概率传播译码方法。
In the algorithm maximum and minimum partly replace product and sum. The paper proposes a means to obtain the fuzzy rules, too.
此算法用取大取小运算部分代替网络的积和运算，同时提出一种获取重要规则的方法。
In the algorithm maximum and minimum partly replace product and sum. The paper proposes a means to obtain the fuzzy rules, too.
此算法用取大取小运算部分代替网络的积和运算，同时提出一种获取重要规则的方法。
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