搜索资源列表
2006Compressed-Sensing
- 有关压缩感知基本过程的详细讲解，包括稀疏矩阵-Perception about the basic process of compression explain in detail, including the sparse matrix
CS
- 一元稀疏多项式计算器, 是基于C#来实现的-One yuan sparse polynomial calculator, based on C# to achieve
xishujuzhenjiafashixian
- 用C++语言实现稀疏矩阵的加法。以及减法的实现。做成矩阵计算器的模式-C++ language with a sparse matrix addition. And subtraction to achieve. Made of the pattern matrix calculator
data-struct-program
- 一元稀疏多项式计算器、迷宫问题、成绩分析问题、图的基本操作与实现以及背包问题的求解-One yuan sparse polynomial calculator, maze, performance analysis of the problem, graph realization of the basic operations and the knapsack problem and the solution
threshold
- threshold for sparse approximation
LIyuanqing
- Sparse Representation and Its Applications Yuanqing Li Center for Brain Computer Interface & Brain Information Processing South China University of Technology, Guangzhou, China -Yuanqing Li Center for Brain Computer Interface & Bra
zgh
- 广东工业大学一元稀疏矩阵的实验报告，下载吧-Guangdong University of one yuan sparse experimental report, download it
juzhen
- 稀疏矩阵的八种变换 加减乘除以及其逆运算 -Sparse matrix add, subtract, multiply and divide eight kinds of transform and its inverse operation
Researeh-on-trajeetoy
- 首先，探讨了映射方法的选择。此步骤是整个规划方法的基础。协调映射因为具有 变形小、网格不会重叠等优点，被作为最佳选择。根据协调映射的理论，建立了平面上 圆形域、矩形域、多边形域等参数域的映射模型，可根据轨迹规划的需要来选择映射的 边界。由于协调映射时所需处理的数据量很大，本文给出了编程时具体的数据结构，其 中大型稀疏矩阵采用三元组压缩存储。 -First, the choice of the mapping method. This step is the basis for
SMatrix
- 通过输入矩阵的行数,列数,元素来建立稀疏矩阵的源程序-input matrix by the number of rows, columns, element to establish the source of sparse matrix
k-means
- k-means MPI implementation for sparse matrixes
Matrix
- Dataset for my MPI clustering implementation. Matrix.txt - sparse matrix of all terms Matrix.txt.membership - clustering results Matrix.txt.cluster_centres - cluster centers
toolbox_sparsity
- sparsity 工具箱,包括稀疏信号的感知压缩和多种解码恢复算法。-tool_sparsity, including sparse signal compression and recovery.
CS_MRI
- 压缩传感的非线性共轭梯度方法实现（该程序可应用到核磁共振成像）-Sparse MRI: The Application of Compressed Sensing for Rapid MR Imaging.
A_simple_method_to_steoro_match
- 汽车防撞，技术路径不外：1.雷达测距防撞；2.视差测距防撞。前者，一旦保有量较大，必定遭遇互相干扰问题；后者，以前主要问题是，算法复杂，实时性差。 本文公开了一种新算法（已申请发明专利），主要运算可以借助硬件组合逻辑模块并行执行，可以极大提高视差测距的实时性，满足汽车防撞的要求。-(Background) Stereo matching, requires in two images to identify two pixels to be matched each other, i
Metaface_ICIP
- 利用稀疏表示一集字典学习的方法进行人脸自动识别的Matlab算法，是经典SRC方法的提高-That a sparse set of dictionary use of learning methods in Matlab automatic face recognition algorithms, is the classic method of improving SRC
OMP
- 压缩感知的一种正交匹配追踪重构算法，稀疏描述，观测矩阵，图像重构-Compressed sensing reconstruction algorithm orthogonal matching pursuit, sparse descr iption, observation matrix, image reconstruction
matrix-
- C++与Cuda结合，用并行来做加速，将普通的稀疏矩阵加减乘用并行来完成。-C++ and Cuda combined with a parallel acceleration to do, the ordinary addition and subtraction by using sparse matrix parallel to complete.
inv3
- 稀疏逆矩阵求解代码 可用于求解稀疏逆矩阵-Sparse inverse solution code can be used to solve the sparse inverse matrix
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