Description: This package contains code for solving seven optimization problems.
-The main directory contains MATLAB m-files which contain simple examples for each of the recovery problems. They illustrate how the code should be used (it is fairly straightforward). The prefixes on the example files are as follows:
"l1eq" = L1 minimization with equality constraints,
"l1qc" = L1 minimization with quadratic (L2 norm) constraints,
"l1decode" = L1 norm approximation (for channel decoding),
"11dantzig" = L1 minimization with minimal residual correlation (the Dantzig selector).
"tveq" = TV minimization with equality constraints,
"tvqc" = TV minimization with quadratic constrains,
"tvdantzig" = TV minimization with minimal residual correlation.
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Author:liuhua |
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Description: Btv双边全变分正则化重建方法及重建方法其发展- Using L1 norm minimization and robust regularization based on a bilateral prior to deal with different data and noise models Platform: |
Size: 555008 |
Author:guanjun |
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Description: 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 Platform: |
Size: 369664 |
Author:马春晖 |
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Description: l1benchmark 这个算法包提供了十种求解带稀疏约束的矩阵方程 AX=b 的 MATLAB 实现代码，并提供了一个比较各种算法求解结果的演示。-An L1-norm minimization benchmark package, which contains an implementation of ten L1-norm minimization algorithms in MATLAB. The package also provides a test script for comparing fast L-1 solvers via Gaussian projections. Platform: |
Size: 46080 |
Author:bsmsht |
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Description: 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 Platform: |
Size: 48128 |
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Description: 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 Platform: |
Size: 297984 |
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Description: 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 Platform: |
Size: 43008 |
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Description: 基于最小二乘思想解决l1范最小问题，对于初学压缩感知的同学有一定的帮助
-L1 norm minimization problem based on least squares ideology, compressed sensing for the beginner students some help Platform: |
Size: 3072 |
Author:wangxuejun |
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Description: 新版的求解L1范数最小化问题的凸优化工具包-new version for solve L1-norm minimization problem of convex optimization Platform: |
Size: 5597184 |
Author:小小王 |
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Description: Face recognition using L1 norm minimization 1.0 :Read the following paper for details of the algorithm - Robust Face Recognition via Sparse Representation by John Wright, Arvind Ganesh, and Yi Ma , Coordinated Science Laboratory, University of Illinois at Urbana-Champaign and Allen Yang, Electrical Engineering and Computer Science, University of California Berkeley. Platform: |
Size: 4096 |
Author:thaslee |
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