搜索资源列表
LDPCBSN
- LDPC码既低密度奇偶校验码（Low Density Parity Check Code，LDPC），它由Robert G.Gallager博士于1963年提出的一类具有稀疏校验矩阵的线性分组码，不仅有逼近Shannon限的良好性能，而且译码复杂度较低, 结构灵活，是近年信道编码领域的研究热点，目前已广泛应用于深空通信、光纤通信、卫星数字视频和音频广播等领域。LDPC码已成为第四代通信系统(4G) -LDPC codes BER simulation under AWGN channel.
NonCvxGroupSparsity
- 本程序为一种基于凸优化的OFDM信道估计算法，平滑SLO算法是求解稀疏线性方程组的一种迭代解法，本程序将其应用于OFDM信道估计，取得了较好的信号估计精度以及速度-This procedure is a convex optimization of OFDM-based channel estimation algorithm, smoothing algorithm SLO is sparse system of linear equations to solve an iterative m
AnalgorithmusingtheSchurcomple-
- LDPC(Low-density-parity-check，低密度奇偶校验)码是一类具有稀疏校验矩阵的线性分组码，不仅有逼近Shannon限的良好性能，而且译码复杂度较低，结构灵活，是近年信道编码领域的研究热点-LDPC (Low-density-parity-check, low-density parity check) codes are a class of sparse check matrix of linear block codes, is not only good perfo
needell-dissertation
- 基于cs的稀疏信道估计算法原理即MATLAB程序-Cs based on the principle of sparse channel estimation algorithm that MATLAB program
romp
- 一种压缩感知重构算法ROMP 需要已知稀疏度-A compressed sensing reconstruction algorithm ROMP needs known sparsity
pnlmsandmodifiedpnlms
- 由于通常的通信信道的冲激响应的稀疏性，使得NLMS算法的收敛速度还有待提高。所以，近年来，有学者提出了成比例的归一化的均方误差算法(PNLMS)。PNLMS在自适应过程的开始阶段有着很快的收敛的速度，但是迭代过程越往后，收敛速度越慢。于是，众多学者提出了许多的改进算法。本程序是通过matlab仿真对近年来流行的PNLMS,IPNLMS,MPNLMS等算法进行的仿真程序-As usual communication channel impulse response sparse, making t
channelEq
- 该程序通过稀疏化的klms和klms算法实现了信道均衡问题。并同时比较两者的区别以验证稀疏化的必要性。-The program through the klms and klms thinning algorithm channel equalization problems. And compares the difference between the necessity to verify sparse.
MIMO_SparseChannel
- 多发多收的稀疏信道估计的仿真程序，运用LS、OMP与时反算法- Multiple overcharged sparse channel estimation simulation program, using LS, OMP and time-reverse algorithm
LW
- ISLO与CoSaMP算法在稀疏多径信道估计中的比较的一篇最新论文。前者明显优于后者。-ISLO and CoSaMP latest paper compares an algorithm in sparse multipath channel estimation. The former is much better than the latter.
spares_channel_estimation
- 稀疏信道估计的经典参考代码，值得下载学习-classic programming code of sparse channel estimation which is deserved for learning and it the website of mathworks.
MP
- 该代码可用于信号的处理。用MATLAB代码书写，可用于稀疏信道的估计-This code can be used to process the signal. Writing code using MATLAB, it can be used to estimate the sparse channel
MP
- 该代码可以实现无线传输时，稀疏信道用MP算法所得误码率计算-The code can be achieved when the wireless transmission, the sparse channel with the MP algorithm obtained bit error rate calculation
sparse-channel-estimation-algorithm
- 基于多输入多输出的正交频分复用的压缩感知稀疏信道的估计算法-An estimation algorithm for compressed sensing sparse channel based on multiple input multiple output orthogonal frequency division multiplexing
sparse channel estimation
- 大规模MIMO系统中低复杂度的稀疏信道估计，该资料值得看一看。(Low complexity sparse channel estimation in large scale MIMO systems)
基于压缩感知的MASSIVE MIMO信道估计
- 基于压缩感知的MASSIVE MIMO信道估计，采用OMP算法解决稀疏信道估计问题。MASSIVE MIMO多小区多用户模型，合成稀疏信道（有效解决导频污染）。(Based on compressed sensing for MASSIVE MIMO channel estimation, OMP algorithm is used to solve the sparse channel estimation problem. MASSIVE MIMO multi cell and multi-
基于SAMP算法OFDM系统信道估计11
- 本程序为基于压缩感知的信道估计算法，其用途在于利用信道的稀疏性来降低导频的使用，获得较好的信道估计精度(This program is a compressed sensing based channel estimation algorithm, which uses the sparsity of the channel to reduce the use of pilot and obtain better channel estimation accuracy.)
Massive MIMO 信道估计Trans论文
- 清华大学团队出品，十分好的关于FDD massive MIMO信道估计的文章(Tsinghua University team produced a very good article on FDD massive MIMO channel estimation)
一种稀疏码本多址接入码本优化设计方法
- 针对现有SCMA码本设计中存在的问题，提出一种同时适 用于高斯信道和瑞利衰落信道的SCMA码本优化设计方法。
新型大规模MIMO OFDM信道估计方法的研究
- 本篇论文研究的 FDD 模式下的 Massive MIMO OFDM 系统的信道估计方法，通过分析 MIMO OFDM 系统存在的空时共同稀疏性，应用结构化理论处理 Massive MIMO 信道。为了 减少导频的消耗，提出适合的估计方法(In this paper, the channel estimation method of Massive MIMO OFDM system in FDD mode is studied Space-time common sparsity in MI
基于压缩感知的OFDM系统时域稀疏信道研究.doc
- 基于压缩感知的OFDM系统时域稀疏信道研究.doc