将置信传播(belief propagation,BP)算法从马尔科夫随机域的角度进行理解，

并通过变量节点和校验界定之间的迭代来实现信息传递，进而提高系统的误码率性能。

-The belief propagation (belief propagation, BP) algorithm is understood from the perspective of Markov random field, and by defining the iteration variable nodes and check to realize the transmission of information between, and to improve the BER performance of the system.