Reactive-power-optimization

最小生成树prim算法，Dandn文件给出了输入参数的名称及格式即在调用prim前先输入邻接矩阵D和节点个数n输入prim得到两行的矩阵T,将上下两行数字对应的节点相连即可(Prim algorithm for minimum spanning tree, Dandn document gives the name and format of the input parameters that is called prim before Input adjacency matrix D and the node number n input prim to be two lines of the matrix T, the upper and lower figures correspond to two lines of nodes connected to can)

说明：  二维图像加噪声，通过小波变换分解，压缩，实现图像重构(Two-dimensional image plus noise, through the Wavelet decomposition, compression, Image reconstruction)

A new blind adaptive multiuser detection scheme based on a hybrid of Kalman filter and subspace estimation is proposed. It is shown that the detector can be expressed as an anchored signal in the signal subspace and the coefficients can be estimated by the Kalman filter using only the signature waveform and the timing of the desired user.(A new blind adaptive multiuser detection s cheme based on a hybrid of the Kalman filter and subs pace estimation is proposed. It is shown that th e detector can be expressed as an anchored signa l in the signal subspace and the coefficients ca n be estimated by the Kalman filter using only th e signature waveform and the timing of the desir ed user.)

用于模拟电磁波在光子晶体中的传播，使用平面波展开法，利用完美耦合的吸收介质层以提高计算效率。(Used to simulate the electromagnetic wave propagation in photonic crystals using plane wave expansion method using perfect coupling absorbing medium layer to improve computational efficiency)

《matlab从入门到精通》全书示例的源代码，帮助大家更好的学习matlab("Matlab from entry to the proficient," the book s source code examples to help you better learn matlab)

斯坦福大学公开课第三课中涉及的局部加权线性回归，用matlab实现了在不同带宽下的对比(Stanford open class third lesson involved locally weighted linear regression, using matlab to achieve a comparison of different bandwidths)

Function to perform Principle Component Analysis over a set of training vectors passed as a concatenated matrix. Usage:- [V,D,M] = pca(X,n) [V,D] = pca(X,aM,n) where:- <input> X = concatenated set of column vectors aM = assume that the mean is aM n = number of principal components to extract (optional) <output> V = ensemble of column eigen-vectors D = vector of eigen-values M = mean of X (optional)

Maltlab DAQ example code

可以绘制变量的三维及四维散点图的matlab子程序，如饱和度等(plots the values in vector v colour coded at the positions specified by the vectors x, y, and z in a 3-D axis system. A colourbar is added on the right side of the figure.)

ITS an IEEE paper about Network Security Management Tool for Distribution Systems.