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kernel-ica1_0.tar
- The kernel-ica package is a Matlab program that implements the Kernel ICA algorithm for independent component analysis (ICA). The Kernel ICA algorithm is based on the minimization of a contrast function based on kernel ideas. A contrast functio
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
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)
curve fitting
- using simple error minimization to estimate the regression models
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-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
TVAL3_v1.0
- 最新的基于压缩感知的TV重构算法，该算法重构图像质量很不错，并且速度很快-TV Minimization by Augmented Lagrangian and Alternating Direction Algorithms
newton
- 求解无约束最小化问题的牛顿方法 matlab程序-Solving Unconstrained Minimization problem with Newton method (matlab)
cecontinuous
- cross entropy for function minimization
Untitled
- 人口迁移算法，此程序实现人口迁移算法，用于求解无约束连续函数最小化问题。对于最大化问题，请先将其加负号转化为最小化问题-Population migration algorithm to achieve this process migration algorithm for solving unconstrained minimization problem of continuous functions. For the maximization problem, please add th
SVMNR
- 支持向量机和BP神经网络虽然都可以用来做非线性回归，但它们所基于的理论基础不同，回归的机理也不相同。支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。为了验证这种观点，本文编写了支持向量机非线性回归的通用Matlab程序和基于神经网络工具箱的BP神经网络仿真模块，仿真结果证实，支持向量机做非线性回归不仅泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。 -Support Vector Machine and BP neural network, ev
Fast_Walsh_Hadamard_Transform
- 最小的增广拉格朗日并交替方向算法应用matlab实现- Minimization by Augmented Lagrangian and Alternating Direction Algorithms use matlab to implement
efficiency_2outputflc_withlma
- Efficiency optimization of IPMSM with fuzzy logic controller and loss minimization algorithm. Good for simulation.
efficiency_pi_withlma
- Efficiency optimization of IPMSM with PI controller and loss minimization algorithm. Good for comparison and simulation results.
multidirectionalSearchAlgorithm
- This program simulates the minimization of a simple function with the multidirectional search method.
An_Algorithm_for_Total_Variation_Minimization_and_
- TV最小化模型的一个算法，以及相应的应用程序-An Algorithm for Total Variation Minimization and Applications
SolveHomotopy
- SolveHomotopy.m- l1 minimization Algorithm-SolveHomotopy.m-l1 minimization Algorithm
Fast-Global-Minimization-of-the-Active-Contour_Sn
- global minimization of the active contour model
l1 minimization
- minimization algorithm for cs recovery
Alternating-minimization-algorithms
- Alternating minimization algorithms for hybrid precoding in millimeter wave MIMO-systems simulation