搜索资源列表
CVX
- CVX是构建和解决纪律凸程序（应课税品许可证）建模系统。 CVX支持 一些标准的问题类型，包括线性和二次规划（LPS/ QP的），第二阶 锥程序（SOCPs）和半定规划（SDP的）。 CVX也可以解决复杂得多 凸优化问题，包括许多涉及不可微的功能，如`1规范。您 可以使用CVX方便地提出和解决约束范数最小化，熵最大化， 行列式最大化等诸多凸程序。随着2.0版本，CVX也解决了混合 整纪律凸程序（MIDCPs）为好，用适当的整数解算能力。-CVX is a mo
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
TNNR_DODE_LQ_SELF
- 截断的核范数，可用于矩阵恢复。需要知道丢失点的像素位置。该算法是 2013 PAMI上一篇文章里的算法。感兴趣的-Nuclear norm truncated matrix can be used for recovery. Need to know the pixel positions lost points. The algorithm is an article on the 2013 PAMI algorithms. Look interested
OSIC
- OSIC（排序的连续干扰消除）信号检测仿真程序，实现不同的OSIC信号检测方法：基于SINR排序、基于列范数排序、基于检测后的SNR排序-OSIC (ordered successive interference cancellation) signal detection simulation program OSIC achieve different signal detection method: SINR based sorting, sorting based on the norm
Poisson_J
- J法解Poisson方程，通过迭代输出结果并画图，结果包含迭代步数以及无穷范数-Solution of Poisson equation by J method, iterative output results and drawing, the result contains iteration step number and infinite norm
Poisson_CG
- CG法解Poisson方程，通过迭代输出结果并画图，结果包含迭代步数以及无穷范数-Solution of Poisson equation by CG method, iterative output results and drawing, the result contains iteration step number and infinite norm
Poisson_SOR
- SOR法解Poisson方程，通过迭代输出结果并画图，结果包含迭代步数以及无穷范数-Solution of Poisson equation by SOR method, iterative output results and drawing, the result contains iteration step number and infinite norm
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
scnrm2
- Fortorn种求解2范数的子程序已经验证过可以使用-Beg 2 norm
LICS
- 该文章为压缩感知重构算法，主要介绍基于LI范数最小化的凸优化算法，简单实用，比较适合除学着实用。-This article is compressed sensing reconstruction algorithm introduces LI norm optimization algorithm based on minimization of a convex, simple and practical, more suitable in addition to learn practic
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.
ESRC_classifier_v1.1
- 极限学习机\极速学习机\ELM 稀疏表示人脸识别\稀疏表示\L0范数求解 基于ELM与稀疏表示的混合人脸识别算法 AR人脸识别准确率95 . 文章:Luo, Minxia, and Kai Zhang. A hybrid approach combining extreme learning machine and sparse representation for image classification. Engineering Applications of Artific
erfanshufangfa_guji_1
- 动目标参数估计，二范数方法，对目标进行速度方向等的估计-Moving target parameter estimation, two norm method, estimate of the target velocity direction, etc.
sparse_fusion
- 运用最小二乘和一范数约束求解低分辨率多光谱图像和高分辨率全色图像融合成高分辨率多光谱图像，程序附带主流的图像融合评价标准，需要融合的图像，对比图像；以及附带程序所需的稀疏包-Using least squares and a norm constraint solving low-resolution multi-spectral image and panchromatic image fusion into a high-resolution multi-spectral images, t
SparseDeconv_software
- 基于1范数的稀疏信号反卷积算法的程序代码，语音信号、迭代算法-The sparse signal deconvolution algorithm based on 1 norm of program code, speech signal, an iterative algorithm
YALL1-v1.4
- 求解压缩感知L1范数最小化的yall算法，基于内点法，-Solving compressed sensing L1 norm minimization yall algorithm, based on interior point methods,
L1OMPsnr
- 基于压缩感知的DOA估计，比较了OMP与L1范数的性能-DOA estimation based on compressed sensing, compare the performance of OMP and L1 norm
predict-and-match-interal-multiple
- 地震信号处理，虚同相轴方法预测层间多次波，将数据分成上下两部分，利用相关和褶积的原理预测出层间多次波。预测信号和原始信号在相位和振幅上存在差异，用L1范数匹配法进行匹配，其中，提供了两种方法解病态方程，分别为高斯-赛德尔方法和正则化方法。-Seismic signal processing, predicte internal multiples by construct virtual events .The data is divided into two parts, using the
l1_ls
- L1范数正则化最小二乘计算min||y-Ax||^2+lambd||x||问题最优解-Least square optimal solution for L1 regulation problem min||y-Ax||^2+lambd||x||