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。
This article shows that the sum-product decoding algorithm for the LDCC can be improved with a local probabilistic propagation algorithm.
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。
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.
提出了基于特征和时空关联的积相关图像匹配算法。
A product correlation algorithm of image registration based on feature and spatial-temporal correlation was presented.
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。
In the algorithm maximum and minimum partly replace product and sum. The paper proposes a means to obtain the fuzzy rules, too.
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