搜索资源列表
h12
- C环境下矩阵运算类,包含矩阵的基本操作,另有其范数,均值等特殊函数-C environment matrix category, including the basic matrix operations, otherwise its norm, the mean number of special function
最小化l1范数的Matlab代码
- 最小化l1范数的Matlab代码。求解模型为: min lambda*|x|_1+||A*x-y||_2。其中,|x|_1表示x的1-范数,||*||_2表示2-范数。该模型在稀疏成分分析、压缩传感器等领域有广泛的用途。, l1-Regularized Least Squares Problem Solver l1_ls solves problems of the following form: minimize ||A*x-y||^2+ lambd
基于matlab的稀疏表示中L1范数计算源码
- 基于matlab的稀疏表示中L1范数计算源码,the codes for L1 in sparsty representation with matlab
CC_method.CC法,用于非线性时间序列中
- CC_method:CC法,用于非线性时间序列中,相空间重构,求取时间延迟tau及时间窗口tw。 本程序,本人于2008年12月1日,在matlab7.0上运行通过,可以得到CC_method的5个相关参数及图形,结果很好。 包括子程序: 1.CSCC_method:用lorenz系统来测试CC_method; 2.C_CMethod_inf:用于求延迟时间tau及时间窗口tw; 3.disjoint:用于将时间序列分解成t个不相交的时间序列; 4.reconstitution:用来
l1_OMP_matlab 压缩感知 L1范数最小化算法正交匹配追踪法重构信号
- 压缩感知 L1范数最小化算法正交匹配追踪法重构信号-compressive sensing L1-norm
l1magic
- 压缩感知中求解最优L1范数问题的BP算法内含指导文章-Compressed sensing in L1 norm to solve the problem of optimal BP algorithm article contains guidance
l1magic-1.1
- 最小化L1范数求解,通过L1-LS工具包。-L1 norm minimization solution, through the L1-LS kit.
l1_ls_matlab
- 压缩传感L1范数译码源程序,程序简单易懂注释详细,对初学者有很大帮助-L1 norm compressed sensing decoding source code, the program easy to understand comments detailed, very helpful for beginners
Matrix
- 这是一个自己编制的完整矩阵类,包括矩阵运算、分解、求逆、范数和特征值等,可以做为数值分析的基础类。-This is a complete matrix of their own class preparation, including matrix computation, decomposition, inverse, norm and eigenvalue, etc., can be used as the basis for numerical analysis class.
l1-slove
- 压缩感知中求解最优L1范数问题的BP算法内含指导文章-Compressed sensing in L1 norm to solve the problem of optimal BP algorithm article contains guidance
quaternion
- 四元数乘法、求逆、共轭、求范数函数,并附有求解矢量旋转坐标的程序例子-Quaternion multiplication, inverse, conjugate, seeking norm function, together with procedures for solving the example of vector rotating coordinate
L1_homotopy
- 本程序是利用同伦方法求解L1范数最小化的数值算法-This procedure is the use of homotopy methods to solve the L1-norm minimization numerical algorithm
1
- 统计学领域,测量数据处理领域线性混合模型的方差分量的最小范数估计-The MIQUE of variance components
tuhanshu
- 详细的介绍了凸函数的一阶范数最优解问题,并且给出一实例-Detailed account of the convex function of the first-order optimal solution norm, and gives an example
chengxu
- 第一章 误差与范数 第二章 非线性方程(组)的数值解法 第三章 解线性方程组的直接方法第四章 解线性方程组的迭代法第五章 矩阵的特征值与特征向量的计算-Chapter norm error and the second chapter of nonlinear equations (Group) Chapter III of the numerical solution of linear equations solution methods of Chapter IV of the direc
project_onto_simplex
- l1范数的投影源码,用于高维的机器学习问题-L1 projection source codes
Compressive_Sensing
- lp范数最小化求解的问题,关于压缩感知的最新文档-lp-norm minimization problem solving, perception of the latest documentation on the compression
l1_ls_matlab
- 基于BP算法的 求解最优L1范数的程序和文章-BP algorithm based on L1 norm for solving optimal procedures and articles
fanshu
- 用于求解二维范数,并给出范例,但求解前需要归一化(Solving two dimensional norm problem)
l范数问题
- 此文件应用于稀疏分离求解约束问题l范数问题。This file is applied to solve the l-norm problem of constraint problem by sparse separation