Novel-algorithm-for-mimo

using matlab by vietnameses

Kernel principal component analysis (kernel PCA) is an extension of principal component analysis (PCA) using techniques of kernel methods. Using a kernel, the originally linear operations of PCA are done in a reproducing kernel Hilbert space with a non-linear mapping.

matlab模糊聚类算法进行图像分割的源程序(tuxiangfenge)

说明：  通过SIMULINK平台建立了3即10节点系统上STATCOM运行的相互影响。(Established by SIMULINK platform that is the STATCOM running on a 10-node system interaction.)

采用自适应均衡中的LMS算法进行仿真，并实用30个抽头的横向均衡器结构，面向新手的Matlab仿真(The LMS adaptive equalization algorithm simulation and practical transverse equalizer structure 30 taps, for novice Matlab simulation)

说明：  用MATLAB实现的压缩传感，外文资料，里面含有部分源代码，用MATLAB可以仿真(Compressed sensing using MATLAB implementation, foreign language data, which contains part of the source code can be simulated using MATLAB)

The following Matlab project contains the source code and Matlab examples used for orthogonal least squares algorithms for sparse signal reconstruction. Added after previous version ols_gp: Sparse reconstruction by Orthogonal Least Squares followed by Gradient Pursuit ols_nomp: Sparse reconstruction by Orthogonal Least Squares followed by Approximate Conjugate Gradient Pursuit ols_pcgp: Sparse reconstruction by Orthogonal Least Squares followed by Partial Conjugate Gradient Pursuit The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.

计算光纤中的材料色散和波导色散的matlab程序(Calculation of the fiber material dispersion and waveguide dispersion matlab program)

KNN Classification Code Matlab

trisurf画一个三维球，并进行着色。(To figure a colored sphere in matlab function trisurf)