搜索资源列表
KSVD_Matlab_ToolBox
- KSVD算法,应用于稀疏表示，发表于2006年的文章-KSVD_Algorithm
private-100212
- matlab写的稀疏表示工具箱，里面包含许多相关函数，使用方便-matlab write the sparse representation Toolbox, which contains a number of related functions, easy to use
SRC
- 经典的稀疏表示SRC算法，适合广大人脸识别的同学使用参考-The classic sparse representation SRC algorithm
txys
- 压缩感知的获取与重建，信号的稀疏表示，测量矩阵，重建算法-Compressed sensing acquisition and reconstruction
goodbook
- 里面介绍了很多小波分析、稀疏表示、盲源分离方面的书籍-Which introduced a lot of wavelet analysis, sparse representation and blind source separation of books
SolvePFP
- 图像等运用稀疏表示的方法进行计算识别和分类-Images using sparse representation method to calculate identification and classification
l1
- 用稀疏表示人脸识别，其中在求解l1范数的部分的matlab源码。-Sparse representation for face recognition, solving l1 norm matlab source.
romp
- romp算法实现基于稀疏表示的图像超分辨率算法字典对的训练，本代码为matlab文件 -Romp algorithm to realize image super-resolution algorithm based on sparse representation of a dictionary of training, the code for the matlab files
Face-Recognition_xl
- 基于matlab 的稀疏表示人脸识别源代码-Said face recognition matlab source code based on sparse
SSC_test
- 稀疏表示 凸优化 低秩表示 用于聚类分析 -sparse representing, convex optimization low rank representing
lrr_rand_test
- 稀疏表示 凸优化 谱聚类分析 高维数据 -Sparse representation Convex Optimization Cluster analysis
A-sparse-representation-
- 图像的稀疏表示，通过该算法可以读图像进行稀疏表示，并且查询字典可还原图像.-Image sparse representation, can be achieved by the algorithm of image sparse representation, and combine the dictionary query, can restore the image.
code
- 本代码主要实现了基于双字典交叉稀疏表示的SAR图像变化检测的功能。-This code mainly realize the function of SAR image change detection is based on the double cross dictionary sparse representation.
Sparse-representation
- 稀疏低秩表示，基于稀疏表示的子空间谱聚类方法-Sparse representation
ABDynaMmics
- 稀疏表示山火行波波形,稀疏表示山火行波波形-The sparse representation of traveling wave fires,The sparse representation of traveling wave fires
sparse and redundant representation
- 稀疏与冗余表示-理论及其在信号与图像处理中的应用一书的源代码(Sparse and redundant representation -From theory to application in signal and image processing -- the source code of the Book)
SparseLab21-Core
- 该代码是用于稀疏表示的工具包，里面的content有具体说明。(This code is a toolkit for sparse representation, where content is specified.)
omp可运行程序(m格式)
- 完成omp算法编程，其中加入了噪声及多种频率的信号完成了稀疏表征。(Programming of OMP algorithm with sparse representation)
direction finding algorithm
- 利用信号本身的结构特征，通过附加不同的稀疏约束，该模型利用过完备字典进行信号分解，使其表示成字典中若干原子的线性组合，从而获得数据的精简表示。(By using the structural characteristics of the signal itself and adding different sparse constraints, the model decomposes the signal into linear combinations of atoms in the dic
SRC_SOMP_matlab-master
- 稀疏表示分类器应用于高光谱图像分类的MATLAB代码实现(MATLAB Code Implementation of Sparse Representation Classifier for Hyperspectral Image Classification)