置信度传播（英语：belief propagation），又称为乘积和信息传递（sum-product message passing），是在贝叶斯网络、马尔可夫随机场等概率图模型中用于推断的一种信息传递算法。
如果在空时系统中沿用标准的置信度传播译码算法不太合理。
Obviously, it is not reasonable we use standard belief propagation algorithm in space time system.
在此基础上建立全局能量函数，并采用改进的置信度传播算法进行视差图的求解。
Based on this similarity measure, a global energy function is constructed and the final disparity map is obtained by the improved belief propagation algorithm.
为了降低低密度奇偶检验码的误码平底，提出一种基于陷阱集状态检测的两级置信度传播译码算法。
A two stage belief-propagation(TSBP)decoding algorithm was developed based on trapping set state(TSS)detection to reduce the error floor of low-density parity-check(LDPC)codes.
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