MATLAB_GUI

说明：  matlab的基本例题的知识内容，一些常见的编程都包含，请参考(matlab basic example of the intellectual content of some common programming are included, please refer to)

用响应面法计算可靠度.已知极限状态方程，变量相互独立，服从标准正态分布。(Calculation of reliability by response surface methodology. Known limit state equation, variables are independent standard normal distribution.)

This is used for carrier modulation

MATLAB下的四旋翼飞行器建模程序，可以用于仿真四旋翼模型(This is a UAV model under the MATLAB program, The UAV model can be used in the simulation.)

The interference alignment (IA) is a promising technique to efficiently mitigate interference and to enhance capacity of a wireless communication network. This paper proposes an interference alignment scheme for a network with multiple cells and multiple multiple-input and multiple output(MIMO) users under a Gaussian interference broadcast channel (IFBC) scenario.

Fault Detection in a Series Compensated Transmission Line using Discrete Wavelet Transform and Independent Component Analysis: a Comparative Study

matlab 混沌代码 作图马上搞定 非常经典的一个代码(immediately get a very classic code matlab chaos code mapping)

S4VM 对传统的S3VM 进行了改进。传统的S3VM 基于低密度假设，它试图找到一个低密度的分界线， 也就是更倾向于决策边界穿过特征空间的低密度区域。S4VM 和S3VM 的不同点在于，S3VM 试图把注意力 集中在一个最优的低密度分界线上，而S4VM 则同时关注多个可能的低密度分界线。之所以这样做，是因为 给定一些有标记的点和大量未标记的点，可能存在着不止一个“间隔”较大的低密度分界线（如图2 ），基于 有限的标记样本，很难决定哪个是最好的。虽然这些低密度分界线都与有限的标记样本吻合，但它们之间差 异很大，因此如果选择错了，会有一个很大的损失，导致性能下降。所以S4VM 试图考虑所有可能的低密度 分界线。 (Over the past decade, many improved versions are proposed to solve every different specific problem of semi-supervised support vector machines, for example: to the inefficiency issue, meanS3VM is introduced to performance degenerate problem, S4VM is proposed)

一个自己写的节点导纳矩阵生成程序，不同的小程序完成不同的功能(A self - written node admittance matrix generation procedures)

能够从单一的图像中提取出镜面反射的内容。改算法使用matlab编写，非常值得研究的算法。(From a single image to extract the contents of specular reflection. Matlab algorithm to use to prepare, the algorithm is very worthy of study.)