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spams-matlab-v2.5-svn2014-07-04.tar
- 基于Online Learning for Matrix Factorization and Sparse Coding的在线字典学习算法，本压缩包为作者的源代码(The online dictionary learning based on the paper "Online Learning for Matrix Factorization and Sparse Coding". This compression package is the author's sourc
lrslibrary-master
- 前景提取算法集合，用matlab做的前端(The LRSLibrary provides a collection of low-rank and sparse decomposition algorithms in MATLAB. The library was designed for motion segmentation in videos, but it can be also used or adapted for other computer vision problems (fo
Electrical Network
- 给定网络N，求其关联矩阵A，基本回路矩阵 ，基本割集矩阵 。 给定网络N，形成节点导纳矩阵Y，求逆得Z；利用支路追加法对追加一条支路（树支/连支）后的网络进行修正。 利用稀疏存储技术实现对 的查找；节点优化技术（动态、半动态）；因子表技术。(Given network N, and its associated matrix A, basic circuit matrix, the basic cut set matrix. Given the network N, the node ad
mo19beck_mfiles_v1.1
- 求解矩阵分解的算法，尤其是对于低秩优化和稀疏优化问题，该算法的效果很好。(The algorithm to solve the matrix decomposition, especially for low rank optimization and sparse optimization problems, the algorithm works well.)
OpenBlas_Binaryx64
- 采用qt编译好的openblas 库，一个很好快速的线性计算库，矩阵稀疏计算(QT compiled openblas library, a very good and fast linear computing library, matrix sparse computing)
plot_classifier_comparison
- 基于Pythoon的数值聚类分类算法，基于Python的三维立体点的空间最近邻分类(This example shows the effect of imposing a connectivity graph to capture local structure in the data. The graph is simply the graph of 20 nearest neighbors. Two consequences of imposing a connectivity can b
反褶积
- 对稀疏信号，进行反褶积计算，利用矩阵形式，加快了运算速度。(For sparse signal, the deconvolution calculation is carried out, and the calculation speed is accelerated by using matrix form.)
lapack-3.8.0
- 进行数值计算的著名软件，LAPACK包含了求解科学与工程计算中最常见的数值线性代数问题，如求解线性方程组、线性最小二乘问题、特征值问题和奇异值问题等。(LAPACK is written in Fortran 90 and provides routines for solving systems of simultaneous linear equations, least-squares solutions of linear systems of equations, eigenvalue
cs
- 该文包含了压缩感知图像重构算法，有omp,cosamp,sp,可以选择观测矩阵高斯随机矩阵，稀疏随机矩阵，部分哈达码矩阵。(This paper includes compressed sensing image reconstruction algorithm. It has OMP, CoSaMP and sp. It can choose observation matrix Gauss random matrix, sparse random matrix and partial Had
Gradient算法
- 生成压缩感知测量矩阵，对稀疏的离散数字信号进行压缩(Compressed sensing measurement matrix is generated to compress sparse discrete digital signals)
43680527l1_SRACV
- 稀疏重构下的DOA估计，重构协方差矩阵，效果很好(DOA estimation under sparse reconstruction and covariance matrix reconstruction are effective.)
压缩感知
- 本文分别以稀疏基有离散余弦变换基（DCT）和快速傅立叶变换基（FFT）做为稀疏基，高斯随机矩阵、部分哈达玛矩阵为测量矩阵，L1范数、正交匹配追踪算法（OMP）为重建算法进行压缩感知算法实现。(In this paper, DCT and FFT are used as sparse basis, Gauss random matrix and partial Hadamard matrix are used as measurement matrix, L1 norm and OMP are u
multi_scale_low_rank-master
- 采用ADMM算法对矩阵进行多尺度低秩稀疏分解(Low rank sparse decomposition of multiscale matrix)