搜索资源列表
sparseDecomposition
- 介绍稀疏分解，信号与图像的稀疏分解及初步应用，作者好像是西安交大的-sparse Decomposition of Signals and Images and Application
Sparse_and_Redundant_Representations_From_Theory_t
- 有关稀疏表达的书，http://www.cs.technion.ac.il/~elad/index.html中有介绍-Expressed about the book sparse, http://www.cs.technion.ac.il/ ~ elad/index.html described in
MPimage
- 使用MP将图像稀疏分解并且精确重构，其中使用2D的GA原子-MP will use the image sparse decomposition and perfect reconstruction, in which the GA using 2D atomic
test_m_fft
- 利用FFT实现基于MP的信号稀疏分解程序-Using FFT-based signal sparse decomposition process MP
omp
- 基于正交分量的OMP稀疏分解参考程序，要求分解信号分量具有正交性-Sparse orthogonal decomposition OMP component reference procedure that requires the signal components with the orthogonal decomposition
guass
- 利用高斯消去法处理稀疏和满矩阵，并返回运行时间-Handle sparse Gaussian elimination and full matrix, and return to running time
Sparsematrixtranspose
- 稀疏矩阵的转置 要求： 1 稀疏矩阵采用三元组顺序表的存储结构 2 能够实现两种转置算法：按列序为主序进行转置和快速转置。 3 输出矩阵转置前后的三元组。-Sparse matrix transpose requirements: 1 sparse matrix using the table triples storage structure 2 in order to achieve the two transpose algorithm: order by colum
SparseMatrix
- c++ 稀疏矩阵 功能包括访问元素、删除元素、添加元素，输出元素。矩阵转置。使用模板-c++ features including access to the sparse matrix elements, delete elements, add elements, output elements. Matrix transposition. Templates
3
- 数据结构经典制作内容--- 稀疏矩阵的建立十字链表表示稀疏矩阵- 1.稀疏矩阵的加法运算 2.稀疏矩阵乘法运算-- 3.稀疏矩阵的转置-- 4.退出功能）-The contents of the data structure--- the classic production create the sparse matrix sparse matrix that cross list- 1. Sparse matrix addition operation 2. Sparse
shuju5
- 熟悉稀疏矩阵的“三元组表”和“十字链表”存储结构，运用它们进行矩阵简单运算处理-Familiar with the sparse matrix of the " triple" and the " cross linked" storage structure, the use of simple computing them matrix
CSlearning
- CS理论里观测矩阵的优化算法以及训练稀疏字典的算法-optimization of measurement matrix and dictionary learning for sparse approximations
tree
- 目前比较流行的稀疏分解重构程序，可以用在人脸识别、字典构造等方面。-Currently popular sparse decomposition and reconstruction process, can be used in face recognition, dictionary structure and so on.
sgLasso
- 目前比较流行的稀疏分解重构程序，可以用在人脸识别、字典构造等方面。-Currently popular sparse decomposition and reconstruction process, can be used in face recognition, dictionary structure and so on.
Sparse_Vision
- 基于稀疏表示的计算机视觉和模式识别，主要介绍了利用稀疏表示的原理来处理计算视觉领域的去噪，识别，超分辨率重建等问题-Sparse Representation For Computer Vision and Pattern Recognition
MCA2aaBcr3.8
- 形态学成分分析二维图像(矩阵)使用高度复杂词典和稀疏矩阵促进处罚。-MCA of a 2D images using highly redundant dictionaries and sparstity promoting penalties.
MP
- 经典的信号稀疏分解算法MP的实现。随着迭代次数增大，恢复的信号越精确。-The classic signal sparse decomposition algorithm MP . With the number of iterations increases, the more accurate the signal is recovered
dct
- 在离散余弦变换下实现信号的稀疏分解，matlab环境下可以简单实现-realize sparse Decomposition with dct
OMP
- 正交匹配跟踪算法: 是贪婪算法中稀疏求解的方法-Orthogonal matching pursuit algorithm: Solving Sparse
KSVD_Matlab_ToolBox
- 应用于稀疏表示的KVSD算法，MABLAB-KVSD algorithm applied to sparse representation, MABLAB
xishubiaozaichaoliujisuanzhong
- 本文简单介绍了一些常用的稀疏技术，重点讨论了稀疏表及其改进型，比较了它们的优缺点并给出了应用实例。-This paper briefly describes some of the commonly used sparse technology, focusing on the sparse tables and improved, compared with their advantages and disadvantages and gives examples.