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.

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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.

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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.

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