factor graph

At last, factor graph is used to realize DFE algorithm which makes use of the decisions to eliminate the inter-symbol interference caused by former symbols. The simulation result shows its performance excels that of the constrained linear equalizer.

最后，利用因子图实现了DFE算法，从当前被估计的符号中消除先前已判决符号的干扰，仿真结果证明其性能优于约束线性均衡算法。

An improved decoding algorithm for low-density parity-check code ( LDPC) on finite-state Markov channels was presented and the corresponding factor graph representation was given.

针对有限状态Markov信道，提出一种改进的低密度奇偶校验码（low-Density Parity-check，LDPC）译码算法，并给出其因子图表示。

HFG inference can be performed by transforming HFG to standard factor graph and applying inference algorithms of factor graph.

层次因子图的推理可通过将层次因子图转化为标准的因子图，再应用因子图推理方法进行实现。

Next, we researched using the factor graph to deal with the equalization problem in wireless communications, derived an iterative detection and decoding algorithm based factor graph in the turbo equalization system, and then simulated it on computer.

研究了采用因子图方法处理通信中的均衡问题，推导Turbo均衡系统中基于因子图的迭代检测与译码算法，并进行了仿真分析。

The principle of IMPA, including the factor graph theories and the message passing theories based on the factor graphs was analyzed in detail in this paper, which is the basis of IMPA.

论文详细介绍了IMPA算法的原理，包括因子图理论和基于因子图上的消息传递理论，为从理论上理解IMPA打下基础。

Iterative Multiuser Receiver Based on Factor Graph for Asynchronous Coded CDMA Systems

异步编码CDMA系统中基于因子图的迭代多用户接收器

The result of the simulation shows that, in factor graph with cycles, the threshold of decoding obtained in scatter density evolution analysis is lower than that obtained in factor graph without cycles.

仿真实验结果显示，有环因子图下，其离散密度进化分析获得译码阈值低于无环因子图的情况。

The structure of RA codes, encoder and factor graph were introduced briefly. Some different decode algorithms and the complexity were analyzed. Then simulated RA codes, and compared with CT codes.

详细介绍了RA码的编码结构、因子图、编码器，给出了不同的译码算法和复杂度分析，仿真了RA码的性能，并与CT码进行了比较。

And it is capable of dealing with more complicated problems with larger scale. ( 2) An object-oriented factor graph model, for object detection in remote sensing images with complicated scenes, is built.

建立了复杂场景遥感图像目标检测问题的面向对象因子图模型。

By a general process named sum-product algorithm that distributed propagate the probability information in the corresponding factor graph, many problems can be solved, and the iterative decoding algorithm of turbo codes can also be viewed as a special instance of sum-product algorithm.

通过在相应因子图上分布地进行概率信息传播的和积算法，可以实现许多问题的求解，Turbo码的迭代译码算法也可以看作是和积算法的一个特例。

Compared with existing knowledge representations and reasoning methods, the object-oriented factor graph can process expert knowledge and known information of the samples with a general probabilistic frame.

与传统的知识表示与推理方法相比，面向对象因子图能在统一的概率框架下综合利用多个领域专家知识和已知样本信息，具有处理更大规模和更复杂问题的能力。

Finally, a global optimization model based on factor graph is proposed.

最后，提出了基于因子图的全局优化模型。

This frame not only gives a good equalization algorithm, also adopts Factor Graph integrate the equalizer and decoder into a graph, and explains the whole system in terms of a unified and joint view.

文章不仅给出了一种优良的均衡方法，而且采用因子图模型将均衡器和译码器融合到了一个框架中，用整体的、联合的观点解释了整个迭代检测与译码系统。