搜索资源列表
MINNORM
- mini Norm算法Matlab代码, DOA方向估计中最常用最简单的算法之一-mini Norm algorithm Matlab code, DOA direction of the most commonly used estimate the simplest algorithm
linear_system_identification.tar
- The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is
weighted_total_least_squares_approximation
- The toolbox solves a variety of approximate modeling problems for linear static models. The model can be parameterized in kernel, image, or input/output form and the approximation criterion, called misfit, is a weighted norm between the given data an
TVAL3
- %TVDENOISE Total variation grayscale and color image denoising % u = TVDENOISE(f,lambda) denoises the input image f. The smaller % the parameter lambda, the stronger the denoising. % % The output u approximately minimizes the Rudin-Osher-Fatemi (ROF)
TVL1_HCS_v1
- % May 2010 % This matlab code implements TVL1 based Hybrid Compressive Sensing using LSQR. % Only suitable the small scale data due to the costly storage and computation. % % A - M x N measurement matrix: random sampling alone or hybrid sampling (ran
TwIST_v2
- % demo_l2_l1 - This demo illustrates the TwIST % algorithm in the l2-l1 optimization problem % % xe = arg min 0.5*||A x-y||^2 + tau ||x||_1 % x % % where A is a generic matrix and ||.||_1 is the l1 norm. % After obtaining the solution we implement a
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。
PCAL1
- TPami上的Principal Component Analysis Based on L1-Norm Maximization的源代码，我是向作者要的。-source code of Principal Component Analysis Based on L1-Norm Maximization
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.
Source
- l1-norm, compress sensing
LogisticR
- Logistic Loss with the L1-norm Regularization
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
quaternion
- 四元数乘法、求逆、共轭、求范数函数，并附有求解矢量旋转坐标的程序例子-Quaternion multiplication, inverse, conjugate, seeking norm function, together with procedures for solving the example of vector rotating coordinate
code
- 稀疏编码的工具包，用matlab实现，数学上是求解l1 norm最小化-toolkit for sparse coding
norm2
- [自動控制]Time domain 2 norm 計算程式。輸入system function(由TF, ZPK, SS, FDS建立)，程式會自動計算2-norm.-NORM2(G) computes the 2-norm, i.e. the RMS value, of a strictly proper stable system G (created with either TF, ZPK, SS, or FRD). || [RMS_VALUE, AUG_ROUTH_TABLE]=
DOA
- methods of Direction of arrival estimation. (DOA) such as MUSIC, MVDR, Min-Norm and Classical Beamforme.
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