搜索资源列表
BCS_fast_rvm
- 该代码实现的是压缩感知理论中的信号恢复问题。将压缩感知理论中的信号恢复问题转化为带参数约束的回归问题，从而利用贝叶斯理论实现参数估计，从而得到高效的重建稀疏信号。-The code to achieve the signal recovery problems in the theory of compressed sensing. Recovery issues into regression problems with parameter constraints will signal co
sor
- 松弛因子做自适应估计的SOR迭代法求解大型稀疏线性代数方程组程序-Relaxation Factor in the SOR iterative adaptive estimation method for solving large sparse linear algebraic equations program
RSC
- 强壮的人脸识别系统，发表于cvpr2011年，程序是应用matlab实现-Recently the sparse representation (or coding) based classifi cation (SRC) has been successfully used in face recognition. In SRC, the testing image is represented as a sparse linear combination of the trai
sparsify_0_4
- Sparse Estimation Algorithms by Blumensath and Davies min ||x||_0 subject to ||y - Ax||_2<e-Sparse Estimation Algorithms by Blumensath and Davies min ||x||_0 subject to ||y- Ax||_2<e
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
sparse_wsf
- 使用加权子空间拟合（WSF）实现稀疏均匀圆阵DOA估计。优化过程用的是最陡下降法。-Using weighted subspace fitting (WSF) SPARSE DOA estimation with uniform circular arrays. Optimization process using a steepest descent method.
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
RSC
- 人脸识别的稀疏表示识别方法将稀疏表示的保真度表示为余项的L2范数，但最大似然估计理论证明这样的假设要求余项服从高斯分布，实际中这样的分布可能并不成立，特别是当测试图像中存在噪声、遮挡和伪装等异常像素，这就导致传统的保真度表达式所构造的稀疏表示模型对上述这些情况缺少足够的鲁棒性。而最大似然稀疏表示识别模型则基于最大似然估计理论，将保真度表达式改写为余项的最大似然分布函数，并将最大似然问题转化为一个加权优化问题-Recently the sparse representation (or codin
l1eq_pd
- SPARSE ESTIMATION Sparse signal recovery via L_1 minimization. This code is the basis in the L1 magic toolbox for sampling signals that are sparse in the time domain.
WCMSR
- 宽带信号协方差矩阵稀疏表示DOA估计算法仿真-The broadband signal covariance matrix sparse said DOA estimation algorithm simulation
Sp
- 这是一个建立在OMP算法基础上，笔者自己提出来的一个稀疏分解的DOA估计算法，利用阵列流形矢量间的不相关进行匹配追踪选择，选出与信源位置流形最接近的，以便求得DOA-This is a building based on the algorithm of OMP, the author himself a sparse decomposition algorithm for DOA estimation, using the array manifold a vector between the
sparse-channel-estimation
- analysis of sparse channel estimaiton techniques in the litterature.
SPARSE-CODE-CHANNEL
- SPARSE CHANNEL ESTIMATION
Underdetermined-DOA-Estimation
- 比较新的稀疏重构宽带DOA方法，供学习阵列信号处理的参考-Relatively new broadband DOA sparse reconstruction method for learning the reference array signal processing
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
Time domain channel estimation
- 滤波器组多载波系统中时域估计方法未充分利用导频信息且频谱效率不高的问题，对原有的估计表达式进行了扩展并对导频非稀疏和稀疏两种情况进行了研究。(Problems existing in traditional time domain channel estimation method of FBMC systems were analyzed in this paper and a new equation was also presented. Methods were respectivel
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)
spams-matlab-precompiled-v2.6-2017-02-27-Linux
- an open-source optimization toolbox for sparse estimation with licence GPLv3
Qyquistronstantarea
- Sparse Estimation Algorithms by Blumensath and Davies min x _0()
SPL-He-2014-code
- Underdetermined DOA estimation for wideband signals using robust sparse covariance fitting