搜索资源列表
MCALabWithUtilities
- MCA算法源程序,可用于稀疏分解,信号分类,图像修复,信号还原-MCA algorithm source code can be used for sparse decomposition, signal classification, image restoration, signal reduction
LDL-2.0.1.tar
- 对基于稀疏矩阵存储技术的对称正定稀疏矩阵进行LDL分解,C++编写-LDL is a set of concise routines for factorizing symmetric positive-definite sparse matrices, with some applicability to symmetric indefinite matrices. Its primary purpose is to illustrate much of the basic theory of
signal_decomposition_MP
- 稀疏信号分解利用匹配追踪算法,主程序+调用函数-Sparse signal decomposition, the main program calls the function+
L1
- 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.
CS
- 压缩感知matlab代码,使用FFT进行稀疏分解,OMP算法重建信号-Compressed sensing matlab code, the use of FFT for sparse decomposition, OMP algorithm for signal reconstruction
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- 一个matlab编写的简单程序,显示了小生境粒子群的稀疏分解,适合初学者。-A matlab simple procedure, to show small habitat particle swarm of sparse decomposition, is suitable for beginners.
CLAPACK3-Windows
- LAPACK是用Fortran90和规定套路解决系统同步线性方程组,最小二乘解线性方程组,特征值问题,以及奇异值问题。相关的矩阵分解(陆,乔莱斯基,快速反应,分解,舒尔,广义Schur )也提供了,因为有关的计算,如重新安排的舒尔分解和估计条件号码。致密带状矩阵的处理,而不是一般稀疏矩阵。在所有领域,类似的功能是提供真正的和复杂的矩阵,在单,双精度-LAPACK is written in Fortran90 and provides routines for solving systems o
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- 1、随机生成一个5*5矩阵A,元素符合均匀分布;再随机生成一个5*5矩阵B,元素符合正态分布。对A和B进行加、减、乘、除、比较等矩阵运算,查看运算结果。 2、创建5阶魔术矩阵,求A的行列式、特征值、逆、秩、迹、条件数。 3、假设矩阵 ,求A的LU分解、正交分解、特征值分解、奇异值分解。 4、创建6阶单位稀疏矩阵,并显示其全部元素。 -1, randomly generated a 5* 5 matrix A, elements in line with uniform
SignalandImageDecompositionandItsPreliminaryApplic
- 信号与图像的稀疏分解及其初步应用,包含详细算法-Sparse signal and image decomposition and its preliminary application, contains a detailed algorithm
DISCRIMINANTSPARSENONNEGATIVEMATRIXFACTORIZATION.r
- 判别稀疏非负矩阵分解,提出这个新算法,来进行人脸识别,比传统的NMF和一些其他的扩展算法效果好-Sparse non-negative matrix factorization judge proposed the new algorithm for face recognition, than the traditional extension of NMF algorithm and some other good results
sparsedecompositionarticle
- 几篇关于信号稀疏分解的文献,介绍了几种方法进行稀疏分解-sparse decomposition
funchirp
- 多尺度线调频基稀疏信号分解方法源代码,非常适用于多分量非平稳信号分解!-FM-based multi-scale line of source code for sparse signal decomposition method is very suitable for multi-component non-stationary signal decomposition!
@partialDCT
- 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.
fusedLasso
- 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.
invCov
- 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.
L1Lq
- 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.
overlapping
- 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.