fvm2d_Riemann

说明：  利用Pq分解法求电力系统潮流计算的源代码，提供学习者参考哈，不过还是要自己编才清楚些哈(Pq decomposition method using power flow calculation of the source code to provide learners Reference Kazakhstan, but still have to own it more clearly and Kazakhstan)

聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn}，这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。(Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.)

it contains all the details of the following software requirement specification.

Three function for RBF neural network, using OLS,Rand and SGA function [newcenter,sigma,W,yh,rmse]=rbfols(p,t,tol) p 為輸入資料點，N×K矩陣，N是輸入資料維度，K是資料點數 t 為目標輸出值，1×K矩陣 tol 為指定容忍度或正確率 centers選定中心點，N×nc矩陣 sigma為 ? 值 W為輸出層權重，nc×1矩陣 yh為網路輸出值，1×K矩陣 rmse 為目標輸出值與網路輸出值之RMSE

fastICA信号处理，详细介绍了用fastICA进行信号处理的过程，以及后面的仿真实验(fastICA signal processing, described in detail with fastICA the process of signal processing, and the subsequent simulation)

Wigner-hough变换源程序，对LFM信号的时频分析，仿真程序(Wigner-hough)

用csp对脑电信号就行特征提取的matlab代码(EEG with csp line feature extraction matlab code)

it is for demo beutiful in the matlab

boc调制及绘制功率谱,给出了boc调制程序及图形的绘制(boc modulation and draw power spectrum, the the boc modulation procedures and graphics rendering)

进行联合概率数据互联方面的仿真代码，亲测有效(This a document about JPDA matlab code about object tracking.)