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
L1-Homotopy-ALM
- 基于稀疏表示的人脸识别，里面有9种求1范数的方法-Face recognition based on sparse representation, there are nine kinds of seeking a method of norm
YALL1-v1.3
- 求解L1范数最小化问题的凸优化工具包，共含有6个模型的求解方法-Solving the L1-norm minimization problem of convex optimization toolkit contains a total of six methods of solving the model
Solvers
- 一范数问题的常见求解方法，广泛用于信号和图像处理当中。-some solvers fro l1-norm problem
L1
- 基于L1范数的多帧图像超分辨率图像重建算法，在原有算法基础上改进，提高重建精度和效率。-Based on the L1 norm of the multi-frame image super-resolution image reconstruction algorithm, the improvement on the basis of the original algorithm to improve the reconstruction accuracy and efficiency.
l1-ls-A-Matlab-Solver
- 求解L1范数最优化的一个程序包，里面包括源码、说明文档及相应论文-l1 ls A Matlab Solver for Large-Scale ℓ 1-Regularized Least Squares Problems
blinddeconv
- 一个盲去模糊算法，速度很快！用到了l1/l2范数和对卷积核的l1范数，对噪声有抑制作用！-A blind go fuzzy algorithm, the sppeed is very fast! l1/l2 norm and l1 norm are used for compution, the noise was inhibited!
SSC_1.0
- 一种用于稀疏表示求解L1范数的算法，用L1范数近似L0范数获得了更好的效果。-A method for sparse representation algorithm for solving the L1-norm
l1benchmark
- l1benchmark程序用于解决L1范数优化问题-this l1benchmark codes is design to solve L1 constrain problem
MPTK-Source-0.6.1.tar
- 求解L1范数的基本方法或者稀疏矩阵的基本方法-MP algorithm based program
l1_eq
- 最小化l1范数求解函数，用于稀疏表示算法，可用该函数求解表示系数。
l1eq_pd
- 稀疏表示，最小化l1范数求解表示系数的函数-sparse representation,minimum
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
super-resolution-Regularization-
- 本程序包括了三个程序，L1范数正则化，L2范数正则化，Tikhonov正则化超分辨率重建。经反复测试，没有BUG。-The program includes three procedures, L1 norm regularization, L2 norm regularization, Tikhonov regularization super-resolution reconstruction. After repeated testing, no BUG.
L1_tracker
- l1范数跟踪算法，很多详细注释，可以直接使用，论文得从新下载-The l1 norm tracking algorithms, a lot of detailed annotations, can be used directly, the papers the new download
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.
L1 Total Variation
- 利用L1范数TV正则化对影像进行超分辨率重建(Super resolution reconstruction of images using L1 norm TV regularization)
l1_ls
- l1范数约束的使用最小二乘法计算观测信号的稀疏编码，(L1 norm constraint using the least squares method to calculate the observed signal sparse coding,)
l1magic-1.1
- 对l1最小化的处理，其中包括全面的l1范数的解得算法，运用tv全变分最小的解决方法，适合于单像素以及图像处理的研究者参考。(L1 minimization, including the full L1 norm solution algorithm, the use of TV total variation, the smallest solution, suitable for single pixel and image processing researchers reference.)
TVL1denoise
- 正则化去除噪声,效果撮合，凑合。。。。。。(Tikhonov regularization)