搜索资源列表
variational_PDE_tools
- 变分偏微分方程图像处理工具包，包括计算曲率，方差，L1,L2范数等29个实用算法-variational PDE image processing tool kit, including the calculation of curvature, variance, L1, L2 norm, and other practical algorithms 29
variational_PDE_tools
- 变分偏微分方程图像处理工具包，包括计算曲率，方差，L1,L2范数等29个实用算法-variational PDE image processing tool kit, including the calculation of curvature, variance, L1, L2 norm, and other practical algorithms 29
CS_OMP
- 采用l1最小范数优化的方法进行压缩感知的图像处理-Minimum norm optimization using l1 compression method of image processing perception
TVdenoising-
- 全变差图像去噪，用的分裂Bregman迭代算法，分别用到了L1,、L2、和Lp范数来做的，其中在L1模型中还用到了高斯赛德尔迭代和收缩算子，-Total variation image denoising, with split Bregman iterative algorithm, respectively, used in the L1,, L2, and Lp norm to do, which is also used in
l1_ls_matlab
- 稀疏表达中最小化l1范数问题的求解过程，matlab编写-Sparse expression l1 minimization process of solving the problem of norm, matlab write
myNorm
- Qt、Opencv环境下，演示连续范数的计算，绘制和显示。可以连续演示范数L1,L2,L3,L4.....L无穷，对于教学演示非常有用-Under Qt, Opencv environment, demonstrate continuous norm calculate the number of rendering and display. Can continue to play an norm L1, L2, L3, L4 ...
LEAST-SQUARE-BASED-svd
- 基于l1,l2 NORM 的最小二乘法，岭回归等算法，懂的人一看就知道好用，利用SVD进行计算的-Based on L2, NORM L1 least square method, ridge regression and other algorithms, the people who understand the good use, the use of SVD for calculation
L1Solvers
- 文章《Fast l-1 Minimization Algorithms: Homotopy and Augmented Lagrangian Method Implementation Fixed-Point MPUs to Many-Core CPUs/GPUs》提供的benchmark，解决一些L1范数优化问题。-Article " Fast l-1 Minimization Algorithms: Homotopy
gampmatlab
- 最新的压缩感知算法：Generalized Approximate Message Passing及其衍生算法，性能逼近l1范数凸优化方法的阈值迭代算法。压缩包中包含了诸多例程。-The latest compressed sensing algorithm: Generalized Approximate Message Passing its derivative algorithms, performance approachin
nmf
- l1 norm of a matrix l1 norm of a matrix l1 norm of a matrix-l1 norm of a matrix l1 norm of a matrix l1 norm of a matrix l1 norm of a matrix
SRC
- 源码实现了使用基于稀疏表示的人脸识别算法。使用GPSR作为l1模最小化方法。-Source code to achieve the use of sparse representation based on the face recognition algorithm. Using GPSR as a method for minimizing the L1 norm.
matlab_cvx
- 用于L1范数凸优化的一款matlab工具包，对压缩感知学者有一定帮助。-L1 norm for a convex optimization matlab toolkit, compression perception scholars have some help.
svd
- 基于l1范数加权的奇异值分解的波达估计。。。。。。。。。。基于l1范数加权的奇异值分解的波达估-Estimation of Singular Value Decomposition Based on l1 Norm Weighting
OMPmatlab-compression-0075_www.matlabsite.com
- l1 norm minimization
SolveAMP
- L1范最小化算法，匹配追踪算法，MATLAB语言实现，可以直接用(L1 norm Minimization Algorithm)
Desktop
- subgrad_method_lin_feas.m---linear feasibility problem subgrad_method_mtx_complete.m -- positive semidefinite matrix completion subgrad_method_least_l1.m -- least l1-norm minimization subgrad_method_dual_prob.m
GlobalRetinex
- 求解稀疏约束的程序代码，基于L1范数的求解约束的方法(Program code for solving sparse constraints based on L1 norm)
l1magic
- 实现压缩感知的稀疏信号恢复，采用L1范数约束最小化策略(Sparse signal recovery with compressed sensing, by using the L1 norm constraint minimization strategy)
BP
- 除匹配追踪类贪婪迭代算法之外，压缩感知重构算法另一大类就是凸优化算法或最优化逼近方法，这类方法通过将非凸问题转化为凸问题求解找到信号的逼近，其中最常用的方法就是基追踪(Basis Pursuit, BP)，该方法提出使用l1范数替代l0范数来解决最优化问题，以便使用线性规划方法来求解(In addition to match-tracking greedy iterative algorithms, another major cate
压缩感知
- 本文分别以稀疏基有离散余弦变换基（DCT）和快速傅立叶变换基（FFT）做为稀疏基，高斯随机矩阵、部分哈达玛矩阵为测量矩阵，L1范数、正交匹配追踪算法（OMP）为重建算法进行压缩感知算法实现。(In this paper, DCT and FFT are used as sparse basis, Gauss random matrix and partial Hadamard matrix are used as measurement