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L1-Norm 优化求解
- 稀疏性方程组的优化求解算法，利用L1-Norm求解最稀疏的方程组解。主要用于压缩感知领域。
Source
- l1-norm, compress sensing
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
l1benchmark
- 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 scr ipt for comp
vector
- class for work with 3d Vectors: add, sub, saclar multiple, cross multiple, norm, div
Mapack_for_NET
- Mapack可用来做矩阵运算 Mapack is a .NET class library for basic linear algebra computations. It supports the following matrix operations and properties: Multiplication, Addition, Subtraction, Determinant, Norm1, Norm2, Frobenius Norm, Infinity Norm, Rank,
l1magic
- 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 straightfor
linfinity
- A set of l-infinity norm based algorithms for computer vision
Compressive_Sensing
- lp范数最小化求解的问题，关于压缩感知的最新文档-lp-norm minimization problem solving, perception of the latest documentation on the compression
STRUCTUREDTOTALLEASTNORMMETHODFORTOEPLITZPROBLEMS.
- 一篇关于最小范数二乘解的IEEE文章,供大家参考-Article on the minimum norm squares solution IEEE article, for your reference
DOA
- methods of Direction of arrival estimation. (DOA) such as MUSIC, MVDR, Min-Norm and Classical Beamforme.
T-norm-Operator
- This t norm operator in mathematics which has application in fuzzy logic-This is t norm operator in mathematics which has application in fuzzy logic
minimum-norm-Doppler-frequency
- 基于LPNM信道模型，通过最小范数求多径不相关信道的各径的各个载波的多普勒频率。-minimum norm multipath frequency by LPNM
Matrix-Norm
- 本课件详细介绍了图像处理中的向量范数和矩阵范数的定义，并给出了相关应用。-The courseware details image processing vector norm and the matrix norm is defined, and gives related applications.
Approximation-method--BPs-l1-norm
- 基于BP的l1范数逼近法-Approximation method based on BP s l1 norm
Norm-of-matrix
- 各类矩阵的范数，包含行范数，列范数，以及2范数，有利于解决各种范数问题-Norm of matrix norm, contains the row, column norm, and 2 norm, is conducive to resolving the various norm problem
L1-norm-unliner
- 最优化一范数的线性拟合，巧妙转化为线性回归问题，避免了一范数不可微的缺点-Optimization of a linear fit the norm, cleverly converted into a linear regression problem, avoiding a non-differentiable norm shortcomings
l1-norm-recovery
- the recovery of the 2D SAR image with l1-norm minimization
MUSIC_ESPRIT_RootMUSIC_minNORM
- Direction of arrival (DOAs) Submarines estimation using MUSIC, Min-Norm, ESPRIT and ROOT MUSIC algorithms.
Atomic norm
- 原子范数去噪与谱估计去噪的应用，其中集合了原子范数的最优化问题！(Atomic norm denoising with applications to line spectral estimationdenoising_core_codes)