Search - density evolution LDPC

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[Other resource] DE DL : 1: density evolution for LDPC codes design and some related documents
Date : 2008-10-13 Size : 1.08mb User : 杜冰
[Linux-Unix] ldpc_all_new DL : 2: 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
Date : 2008-10-13 Size : 3.13kb User : 武博
[MPI] DE DL : 0: density evolution for LDPC codes design and some related documents
Date : 2025-07-03 Size : 1.08mb User : 杜冰
[Linux-Unix] ldpc_all_new DL : 0: 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
Date : 2025-07-03 Size : 3kb User : 武博
[Windows Develop] density_evolution_original DL : 0: 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.
Date : 2025-07-03 Size : 26kb User : sun rong
[Communication-Mobile] GA DL : 0: GA.c：Density Evolution with Gaussian Approximation for Regular LDPC codes.原创，对应Chung的paper。-
Date : 2025-07-03 Size : 1kb User : 查哲
[3G develop] peg-unige.tar DL : 1: 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.
Date : 2025-07-03 Size : 10kb User : 李剑
[Other] 04340139 DL : 0: 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
Date : 2025-07-03 Size : 206kb User : yxc
[SCM] 05513587 DL : 0: 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
Date : 2025-07-03 Size : 219kb User : yxc
[Other] 01369623 DL : 0: 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
Date : 2025-07-03 Size : 395kb User : yxc
[Program doc] 1.pdf DL : 0: 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
Date : 2025-07-03 Size : 440kb User : yxc
[Program doc] 2.pdf DL : 0: 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
Date : 2025-07-03 Size : 291kb User : yxc
[Other] density-evolution(Consistent) DL : 1: This code provides the density evolution for a regular (3, 6) LDPC code. The code finds the proper threshold for SNR of the sender.
Date : 2025-07-03 Size : 1kb User : homayoon
[Other] density-evolution(Noisy) DL : 0: The code provides a noisy belief propagation density evolution algorithm for a (3, 6) LDPC code.
Date : 2025-07-03 Size : 1kb User : homayoon
[Program doc] DensityEvolution DL : 1: Density Evolution, the classical paper for the Density Evolution Algorithm of LDPC
Date : 2025-07-03 Size : 432kb User : Jason
[Industry research] Efficient-BER-computation-of-LDPC-coded-SC_MRC-sy DL : 0: 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.
Date : 2025-07-03 Size : 97kb User : ppdghius
[matlab] density-evolution_original DL : 2: 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.
Date : 2025-07-03 Size : 26kb User : 陈丹
[matlab] Density evolution DL : 0: Density Evolution LDPC regular LDPC irregular LDPC (Matlab)
Date : 2025-07-03 Size : 9kb User : Ting Ya
[matlab] Density evolution DL : 0: chan_mess.m de_irregular.m de_regular.m irregular.m
Date : 2025-07-03 Size : 8kb User : Ritter
[Mathimatics-Numerical algorithms] LDPC-PEG算法构造H矩阵 DL : 1: 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;)
Date : 2025-07-03 Size : 1kb User : MATLAB编程

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