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Description: l1_ls_matlab
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Size: 80125 |
Author: iceman1052 |
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Description: cs压缩传感用于信号估计和信号去噪,是一种非常有效而且相当先进的技术-cs compressed sensing for signal estimation and signal denoising is a very effective and very advanced technology
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Size: 78848 |
Author: 岳杨 |
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Description: matlab实现的1范数优化代码，实现绝对值偏差最小的算法。-matlab norm to achieve a optimized code to achieve the smallest absolute deviation algorithm.
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Size: 79872 |
Author: alyan |
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Description: ℓ 1 -正则最小二乘问题使用matlab程序实现-Large-Scale ℓ 1-Regularized Least Squares Problems use matlab to implement
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Size: 75776 |
Author: weimiao |
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Description: 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
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Size: 78848 |
Author: 马春晖 |
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Description: 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
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Size: 78848 |
Author: 王乐 |
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Description: model photovoltaic
5-parameter
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Size: 76800 |
Author: Pino |
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Description: 一种约束方式，用于降噪和压缩传感等，是稀疏图像的求解最优的方式-A constraint method for noise reduction and compressed sensing, are sparse best way to solve the image
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Size: 80896 |
Author: 赵爱罡 |
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Description: 正则化最小二乘的计算工具箱，用于过拟合的最小二乘问题。-Regularized least-squares calculation toolbox for least squares fitting over the issue.
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Size: 78848 |
Author: 李悦 |
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Description: 线性规划的内点法实现，里面包含有一个简单的例子。-l1_ls: A Matlab solver for l1-regularized least squares problems.
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Size: 78848 |
Author: LIZA |
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Description: 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
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Size: 79872 |
Author: sweet |
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Description: 压缩感知，利用l1范数的重建方法：l1_ls.m，以及两个简单例子和说明文档-Using the l1 norm reconstruction method: l1_ls.m
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Size: 78848 |
Author: yuaner |
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Description: A Matlab Solver for Large-Scale ℓ 1-Regularized Least Squares Problems
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Size: 78848 |
Author: 舞五武 |
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Description: 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
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Size: 79872 |
Author: zhaohouqiang |
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Description: Block magic for recovery sparsity.
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Size: 79872 |
Author: fardi
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