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LDPC采用Sum-Product译码算法的程序Java语言版。-LDPC used Sum-Product decoding algorithm procedures version of the Java language.
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LDPC码的和积算法，码长可以任意，输出多项式即可，译码输出软信息-Sum-product algorithm for LDPC codes, code length can be arbitrary, the output polynomials can be, decoder outputs soft information
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首先介绍了LDPC码的校验矩阵和其因子表示方法，然后利用二分图对和积解码算法进行了详细的描述，最后给出了信度传播概率译码算法详细步骤，并对关键公式作了证明-This paper,first introduces the check matrix and the factor graph of LDPC,then describes the
sum-product algorithm by using the factor graph,and finally presents the deta
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一本将基于AP传播算法的半监督聚类的算方法书.对于聚类研究的很有帮助-The Uncapacitated Facility Location Prob-
lem (UFLP) is one of the most widely stud-
ied discrete location problems, whose appli-
cations arise in a variety of settings. We
tackle the UFLP using probabilisti
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比较好的带符号数乘法的方法是布斯(Booth)算法。它采用相加和相减的操作计算补码数据的乘积。Booth算法对乘数从低位开始判断，根据两个数据位的情况决定进行加法、减法还是仅仅移位操作。判断的两个数据位为当前位及其右边的位(初始时需要增加一个辅助位0)，移位操作是向右移动。-Signed multiplication better way to Booth (Booth) algorithm. It uses the sum and subtraction calculations comple
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用C++编程的低密度奇偶校验码的和积算法，用于LDPC的译码算法-In C++ programming, low-density parity check codes and product algorithm for LDPC decoding algorithm
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有效的LDPC解码算法，详细介绍了LDPC码，并且有仿真结果-Efficient Implementations of the Sum-Product Algorithm for Decoding LDPC
Codes
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sum product algorithm in matlab
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LDPC基本译码算法，Bit-flipping、Sum-product的MATLAB程序-Basic LDPC decode algorithm, Bit-flipping、Sum-product
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sum product algorithm decoding of ldpc
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LDPC译码器，基于SPA算法，matlab函数。-LDPC decoder, based on sum-product algorithm. a matlab function
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Parity check bits is computed using sparse LU decomposition, utilizing sparse matrix properties of H. LDPC code decoding is done using iterative belief propagation or sum-product algorithm (SPA). Four versions of SPA decoder are presented.
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因子图和和积算法的matlab实现，给需要的人用，谢谢你的宝贵建议-factor graph and sum-product algorithm
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AI - Simple Genetic Algorithm (GA) to solve a card problem-Introduction
This article describes how to solve a logic problem using a Genetic Algorithm. It assumes no prior knowledge of GAs. In fact, half of this article is dedicated to explaining th
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function vHat decodeBitFlipping(rx, H, iteration)
Hard-decision/bit flipping sum product algorithm LDPC decoder
rx : Received signal vector (column vector)
H : LDPC matrix
iteration : Number of iteration
vHat : Decoded vector (
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function vHat decodeLogDomain(rx, H, N0, iteration)
Log-domain sum product algorithm LDPC decoder
rx : Received signal vector (column vector)
H : LDPC matrix
N0 : Noise variance
iteration : Number of iteration
vHat : Decoded
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function vHat decodeProbDomain(rx, H, N0, iteration)
Probability-domain sum product algorithm LDPC decoder
rx : Received signal vector (column vector)
H : LDPC matrix
N0 : Noise variance
iteration : Number of iteration
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