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有关LDPC码的基础知识，对于初学者有很好的帮助。里面包括置信传播译码算法以及对比图-LDPC codes based on knowledge, there is a good help for beginners. Which includes belief propagation decoding algorithm and comparison chart
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LDPC的软译码算法，BP置信传播算法，用matlab编写-Soft LDPC decoding algorithm, BP belief propagation algorithm, using matlab
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Markov random field, belief propagation
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压缩感知中置信传播和马尔可夫随机场的全部源代码-Compressed sensing belief propagation and Markov random field full source code
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置信传播即BP译码算法，在每一次迭代过程中,都要对全部比特和校验信息进行更新,存在计算量大、译码效率低的问题,故提出了单边传播信息的迭代BP算法-Belief Propagation that BP decoding algorithm, in each iteration, we must check for all the bits and update the information, there is a large amount of calculation, low coding e
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置信传播(belief propagation,BP)算法的计算复杂度较高，且变量节点和校验节点间信息传递的信息可靠，但是迭代的实现，就最大似然算法来说，验证其提高译码性能的特点。
-Belief propagation (belief propagation, BP) higher computational complexity of the algorithm, and reliable information between variable nodes and check node
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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 nod
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置信传播是一中很有效的算法，将其应用于检测，通过在检测与译码之间迭代交换传递信息，并有选择地通过单边消息传递来更新信息，降低系统实现的复杂度。 -Belief propagation is a very efficient algorithm to be applied to the detection, the information transmitted by the exchange between the iterative detection and decoding, and to
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通过单边选择实现低复杂度的置信传播（BP）算法，并将此算法应用于检查模型中，可有效提高系统的性能，且具有较低的复杂度-Select achieved through unilateral low-complexity belief propagation (BP) algorithm, and the algorithm is applied to check the model can effectively improve system performance, and has lower
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置信传播算法可通过因子图的角度理解，也可通过马尔科夫随机域的思想来理解，不管从哪个角度实现，都可将其应用于检测，提高性能。-Belief propagation algorithm can be understood by the angle factor graph can also be understood by thinking of Markov random field, regardless of the angle from which to achieve, can be ap
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置信传播算法的实现代码，用JAVA和Matlab结合的方法实现，在Matlab中可以调用Java实现的程序。-Code for belief propagation. It employs the programming language of Java and Matlab.
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关于polar 码的SC（Successive Cancellation）译码程序，与原作者用BP（belief propagation）实现的译码程序“Polar code encoder and decoder”可以对比看-This is a SC decoding program about polar
codes
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This directory contains the MRF energy minimization software accompanying the paper
[1] A Comparative Study of Energy Minimization Methods for Markov Random Fields.
R. Szeliski, R. Zabih, D. Scharstein, O. Veksler, V. Kolmogorov,
A. Agarw
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a C++ implementation of the stereo and image restoration algorithms described in the paper:
Efficient Belief Propagation for Early Vision
Pedro F. Felzenszwalb and Daniel P. Huttenlocher
International Journal of Computer Vision, Vol. 70, No
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低密度奇偶校验码的最大似然译码的置信度传播算法-Belief-propagation decoding algorithm: Log-likelihood domain
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这是最稳定的BP译码方式，就数值精度来说的话。-Belief-propagation decoding algorithm: Probabilistic decoding The algorithm works directly with probabilities. In terms of numerical precision, it is the most stable BP decoder, although it is very intensive in terms of exp()
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系统地综述了基于MRF的图像分割方法。介绍了基于MRF模型的图像分割理论框架,给出了当前MRF图像建模研究的热点问题。概括了基于MRF模型的图像分割算法,包括图割算法、归一化割算法、置信度传播算法等,指出了这些算法的发展方向-Summarized the image segmentation method based on MRF. Introduces the image segmentation based on MRF model theory framework, gives the h
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关于LTE的文章，希望大家喜欢。
Belief-propagation-based joint channel estimation and decoding for spectrally efficient communication over unknown sparse channels-Belief-propagation-based joint channel estimation and decoding for spectrally efficient communicatio
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置信传播立体匹配算法，亲测可用，很成熟的东西-Belief propagation stereo matching algorithm
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This code perform stereo matching process under Markov Random Field and Loopy Belief Propagation.
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