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Description: density evolution for LDPC codes design and some related documents
Platform: | Size: 1129747 | Author: 杜冰 | Hits:

[Linux-Unixldpc_all_new

Description: A collection of LDPC(Low-Density Parity-Codes) tools. Including: Code construction Density Evolution Decoding Algorithm Girth average Counter Stopping set and error Floor,etc
Platform: | Size: 3208 | Author: 武博 | Hits:

[MPIDE

Description: density evolution for LDPC codes design and some related documents
Platform: | Size: 1129472 | Author: 杜冰 | Hits:

[Linux-Unixldpc_all_new

Description: A collection of LDPC(Low-Density Parity-Codes) tools. Including: Code construction Density Evolution Decoding Algorithm Girth average Counter Stopping set and error Floor,etc
Platform: | Size: 3072 | Author: 武博 | Hits:

[Windows Developdensity_evolution_original

Description: LDPC码密度进化程序,加入了自己的一些见解。-the programe of LDPC codes density evolution, with some personal viewpoint.
Platform: | Size: 26624 | Author: sun rong | Hits:

[Communication-MobileGA

Description: GA.c:Density Evolution with Gaussian Approximation for Regular LDPC codes.原创,对应Chung的paper。-
Platform: | Size: 1024 | Author: 查哲 | Hits:

[3G developpeg-unige.tar

Description: LDPC的密度演化算法,C++写的,执行速度很快。-LDPC density evolution algorithm, C++ written in the implementation of the fast.
Platform: | Size: 10240 | Author: 李剑 | Hits:

[Other04340139

Description: 关于LDPC密度进化理论分析不规则码字阈值,合理优化度分布,构造优异性能的LDPC码。以及高斯近似分析阈值的比较-Analysis of Density Evolution on the irregular LDPC code word threshold, optimize the degree distribution, excellent performance of the LDPC codes constructed. And the Gaussian approximation threshold comparison
Platform: | Size: 210944 | Author: yxc | Hits:

[SCM05513587

Description: 关于LDPC密度进化理论分析不规则码字阈值,合理优化度分布,构造优异性能的LDPC码。以及高斯近似分析阈值的比较-Analysis of Density Evolution on the irregular LDPC code word threshold, optimize the degree distribution, excellent performance of the LDPC codes constructed. And the Gaussian approximation threshold comparison
Platform: | Size: 224256 | Author: yxc | Hits:

[Other01369623

Description: 关于LDPC密度进化理论分析不规则码字阈值,合理优化度分布,构造优异性能的LDPC码。以及高斯近似分析阈值的比较-Analysis of Density Evolution on the irregular LDPC code word threshold, optimize the degree distribution, excellent performance of the LDPC codes constructed. And the Gaussian approximation threshold comparison
Platform: | Size: 404480 | Author: yxc | Hits:

[Program doc1.pdf

Description: 关于LDPC密度进化理论分析不规则码字阈值,合理优化度分布,构造优异性能的LDPC码。以及高斯近似分析阈值的比较-Analysis of Density Evolution on the irregular LDPC code word threshold, optimize the degree distribution, excellent performance of the LDPC codes constructed. And the Gaussian approximation threshold comparison
Platform: | Size: 450560 | Author: yxc | Hits:

[Program doc2.pdf

Description: 关于LDPC密度进化理论分析不规则码字阈值,合理优化度分布,构造优异性能的LDPC码。以及高斯近似分析阈值的比较-Analysis of Density Evolution on the irregular LDPC code word threshold, optimize the degree distribution, excellent performance of the LDPC codes constructed. And the Gaussian approximation threshold comparison
Platform: | Size: 297984 | Author: yxc | Hits:

[Otherdensity-evolution(Consistent)

Description: This code provides the density evolution for a regular (3, 6) LDPC code. The code finds the proper threshold for SNR of the sender.
Platform: | Size: 1024 | Author: homayoon | Hits:

[Otherdensity-evolution(Noisy)

Description: The code provides a noisy belief propagation density evolution algorithm for a (3, 6) LDPC code.
Platform: | Size: 1024 | Author: homayoon | Hits:

[Program docDensityEvolution

Description: Density Evolution, the classical paper for the Density Evolution Algorithm of LDPC
Platform: | Size: 442368 | Author: Jason | Hits:

[Industry researchEfficient-BER-computation-of-LDPC-coded-SC_MRC-sy

Description: Abstract—Selection combining cascaded with maximum-ratio combining (SC/MRC), which is particularly useful when site diversity is available, combined with low-density parity-check (LDPC) codes is able to combat the effects of fading. The biterror rate (BER) expressions of uncoded SC/MRC and SC/MRC with LDPC codes over an independent and identically distributed Rayleigh-fading channel are derived based on the Gaussian approximation approach. These expressions are also applicable to the selection combining and maximum-ratio combining as special cases. The derived expressions are in good agreement with simulation results and approach the density evolution (DE) thresholds. These expressions are able to achieve a significant reduction in computational time with a reasonable accuracy for analyzing the BER performance as compared to simulations and DE.
Platform: | Size: 99328 | Author: ppdghius | Hits:

[matlabdensity-evolution_original

Description: LDPC译码过程的密度进化程序,值得学习参考-density evolution code for ldpc decoding, which is worth reading for the IT workers.
Platform: | Size: 26624 | Author: 陈丹 | Hits:

[matlabDensity evolution

Description: Density Evolution LDPC regular LDPC irregular LDPC (Matlab)
Platform: | Size: 9216 | Author: Ting Ya | Hits:

[matlabDensity evolution

Description: chan_mess.m de_irregular.m de_regular.m irregular.m
Platform: | Size: 8192 | Author: Ritter | Hits:

[Mathimatics-Numerical algorithmsLDPC-PEG算法构造H矩阵

Description: LDPC-PEG算法构造H矩阵源码程序,matlab源码程序 clear all; clc; %输入编码参数,m:校验节点数目,n:变量节点数目(注意码率R不一定为1/2) %构造任意码率的LDPC校验矩阵 m=input('The number of check nodes:'); n=input('The number of variable nodes:'); h=zeros(m,n); %给定变量节点度分布序列 dv=0.38354*x+0.04237*x^2+0.57409*x^3 %为了得到更好的性能,此处的度分布序列采用密度进化理论选取 dv=inline('0.38354*x+0.04237*x.^2+0.57409*x.^3','x'); %计算每个度分布的节点数 indv=quadl(dv,0,1); a2=round(n*(0.38354/2/indv)); a3=round(n*(0.04273/3/indv)); ds(1:a2)=2; ds(a2+1:a3+a2)=3;(LDPC-PEG algorithm constructs H matrix source code program, matlab source code program clear all; CLC; % Input coding parameters, m: number of check nodes, n: number of variable nodes (note that bit rate R is not necessarily 1/2) % Constructing LDPC Check Matrix with Arbitrary Bit Rate M = input ('The number of check nodes:'); N = input ('The number of variable nodes:'); H = zeros (m, n); % Given variable nodal degree distribution sequence DV = 0.38354*x+0.04237*x^2+0.57409*x^3 % In order to get better performance, the density evolution theory is used to select the degree distribution sequence. DV = inline ('0.38354 * x + 0.04237 * X. ^ 2 + 0.57409 * X. ^ 3','x'); % Calculate the number of nodes per degree distribution INDV = quadl (dv, 0, 1); A2 = round (n* (0.38354/2/indv)); A3 = round (n* (0.04273/3/indv); DS (1:a2) =2; DS (a2 + 1: A3 + a2) = 3;)
Platform: | Size: 1024 | Author: MATLAB编程 | Hits:
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