搜索资源列表
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
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
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
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
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
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
l1magic-1.1
- 该压缩包包含计算l1范数的最优化问题及使l1还原数据-Computing l1 norm optimization problem
FPC_AS_v1.21
- 本程序是利用固定点迭代求解L1范数最小化的算法-This procedure is to use fixed-point iteration to solve the L1-norm minimization algorithm
BIHT-l1
- 为了解决二进制CS而编写的算法，使用了用l1范数最小化-an algorithm for binary CS，use l1 norm
l1_ls_matlab
- L1范数最小二乘算法matlab代码,可用于图像重建的研究,可修改性强.-L1 norm least square algorithm matlab code
lmn4op.ZIP
- 基于L1范数稀疏距离测度学习的单类分类算法Based on the L1 norm of sparse distance metric learning one class classification algorithm-Based on the L1 norm of sparse distance metric learning one class classification algorithm
RL1
- 基于加权l1范数的稀疏信号重建，稀疏信号是带噪声的-Sparse signal reconstruction based on the weighted l1 norm sparse signal with noise
omp
- omp迭代算法 线性最优化求解 最小l1范数-omp iteration algorithm linear optimization minimum of l1 norm
FastLaplace
- fastlaplace算法 线性最优化问题 最小l1范数-fastlaplace algorithm linear optimization minimum of l1 norm
L1_SVD
- 利用压缩感知实现波达方向估计，运用奇异值分解对接收信号进行降维，再利用L1范数进行估计-Using compressed sensing DOA estimation using singular value decomposition to reduce the dimensionality of the received signal, and then using the L1 norm estimate
SparseDOA
- 使用l1-svd的方法求解DOA估计问题(Using the l1-svd method to solve the DOA estimation problem)