搜索资源列表
Programs
- 数值分析算法,密码Jacobi符号计算,数据结构中二叉树判定及一元稀疏多项式计算。-Numerical analysis algorithms, password Jacobi symbol calculations, the data structure sparse binary polynomial to determine and calculate a dollar.
datastucture
- 数据结构与算法的资料,各种ppt及文档,主要内容有树与二叉树、c深广度搜索、稀疏矩阵在实际问题上的应用-files of data structure,including ppts and documents,and its application in realistic problems
SP
- 一种快速有效、性能可靠的信号重构算法是压缩感知理论的核心部分,对于 这部分内容,许多卓有成效的研究工作正在陆续展开。从压缩感知理论提出至今, 已经出现了多种稀疏信号的重构算法。重构算法主要可以归结为三大类:贪婪算 法,凸松弛算法和组合算法。这里主要是SP算法-A fast and efficient, reliable signal reconstruction algorithm is the core of compressed sensing theory, for this
zhongjidaima
- 数据结构的作业,一元稀疏多项式计算机的设计,C语言编程,希望对大家能有所帮助-The data structure of homework, a dollar sparse polynomial computer design, the C programming language, hope to everybody can help
MatrixY
- 程序的功能(应用在电力系统中) (1) 网络数据输入的内容包括节点信息和支路信息 (2) 可适合任意规模的网络 (3) 可查询节点、支路信息(根据节点名或支路名) (4) 形成导纳矩阵及输出 (5) 导纳矩阵稀疏处理 (6) 基于导纳矩阵的稀疏表示,获取Yij-Functionality of the program (application in the power system) (1) network includes data input nodes and br
dianliMatrixY
- 程序的功能(应用在电力系统中) (1) 网络数据输入的内容包括节点信息和支路信息 (2) 可适合任意规模的网络 (3) 可查询节点、支路信息(根据节点名或支路名) (4) 形成导纳矩阵及输出 (5) 导纳矩阵稀疏处理 (6) 基于导纳矩阵的稀疏表示,获取Yij-Functionality of the program (application in the power system) (1) network includes data input nodes and br
Efficient-discretization
- 高效 离散化 适用于数值范围很广,但是数据很稀疏的情况。-Efficient discretization
CSzhongsu
- 该文对压缩感知理论进行了综述,对压缩感知的稀疏表示、观测矩阵、编码、解码和有待研究的关键问题进行了综述-This paper summarizes the theory of compressed sensing, sparse representation of compressed sensing, observation matrix, encoding, decoding and the key issues to be examined were reviewed
ARRAY
- 稀疏矩阵转置和乘法,通过循环条用,实现一个简单的矩阵相乘-Sparse matrix transpose and multiplication, through the circulation channel used to achieve a simple matrix multiplication
BFJacobismoother
- 块迭代的阻尼雅克比松弛方法,对大型稀疏的线性方程组非常有效。-Block iterative relaxation method than the resistance Ni Yake
Linearized-Bregman
- linearized bregman 用于压缩感知中的稀疏信号恢复-linearized bregman
SS
- 有关稀疏采样(Sparse Sampling)的文献-literature related to Sparse Sampling.
nmfsc
- 稀疏约束的非负矩阵分解Non-negative Matrix Factorization with Sparseness Constraints-Non-negative Matrix Factorization with Sparseness Constraints
matrix
- 假设稀疏矩阵A和B均以三元组表作为存储结构,写出矩阵相加的算法,另设三元组表C存放结果矩阵。-Suppose sparse matrix A and B are triples as a storage structure of the table, write the sum matrix algorithm, a separate table triples storage of the results of C matrix.
One-dollar-sparse-polynomial
- 一元稀疏多项式,数据结构期末报告,一元稀疏多项式!-One dollar sparse polynomial, data structures final report, a dollar sparse polynomial!
romp
- 一种压缩感知重构算法ROMP 需要已知稀疏度-A compressed sensing reconstruction algorithm ROMP needs known sparsity
CSRec_SP
- 压缩感知中子空间匹配追踪算法,用于稀疏信号重构-Compressed sensing algorithm for subspace matching pursuit for sparse signal reconstruction
cc
- 稀疏矩阵及转置的实现代码实现,程序设计等-Transpose sparse matrix and the realization of code, programming, etc.
Sparse-matrix-transposed
- 利用三元组表存储表示,求稀疏矩阵的转置矩阵-Using the table triples storage representation, find the sparse matrix transpose
OpticalFlow-OPenCV
- 基于opencv的稀疏光流法,用来跟踪。由外国专家David Stavens所写-Opencv optical flow based on the sparse method, used for tracking. Written by foreign experts David Stavens