ekf

：根据内蒙古四子王旗某地2007年逐月平均风速袁选取设计风速为6m／s，根据某型号300 W交流永磁发电机的输出功率特性。利用Matlab编写的叶片优化设计程序，设计了300W水平轴风力发电机叶片。通过风轮与发电机的匹配，调整叶片参数，使之在小风时具有较高的风能利用系数，提高风力机的效率，在大风时具有较低的风能利用系数，从而达到大风时限速保护的目的。(: According to Inner Mongolia as a 2007 monthly average wind speed Yuan select the design wind speed to 6 m/s, according to a Model 300 W output power characteristics of permanent magnet alternator. Leaves written in Matlab to optimize the design process, design 300W horizontal axis wind turbine blades. The wind wheel generator matching adjust the blades parameter, so that has a high wind energy utilization coefficient of small wind, improve the efficiency of the wind turbine in high winds has a lower coefficient of wind energy utilization, so as to achieve high winds speed limit protection purposes.)

模拟拓展卡尔曼滤波的计算，雅各比矩阵的运算(Extended Kalman Filter)

kpca实现，目前kpca最为简介的程序，算法实现简单(kpca implementation, the current most kpca brief introduction of the procedure, the algorithm implementation easy)

说明：  航海与气像学讲义，讲述海洋学与气候关系，初学者有帮助，请下载(Navigation and gas as the school notes, about the relationship between oceanography and climate, beginners help, please download)

田纳西伊斯曼过程SIMULINK仿真模块 来自于经典文献(Tennessee Eastman process SIMULINK simulation module from the classic literature)

基于CDMA蜂窝网的无源雷达定位系统中GDOP计算方法(The GDOP Of the passive radar location based on the CDMA cellular network)

function [clusters,c,F]=fisher_classify(A,B,data) fisher判别法程序 输入A、B为已知类别样本的样本-变量矩阵，data为待分类样本 输出C为判别系数向量 (function [clusters, c, F] = fisher_classify (A, B, data) fisher discriminant method procedures input A, B for a sample of known types of samples- variable matrix, data to be classified as output samples for discriminant coefficient vector C)

说明：  数值分析中的一个算法的实现，实现局部最优解。(A numerical analysis algorithm, to achieve local optimal solution.)

说明：  MATLAB主成分分析，改变变量后可以用于因子变量分析，生物学上的(MATLAB component analysis, change the variables can be used to factor multivariate analysis, biological)

常微分方程数值解在matlaB中的实现，压缩包里面包含讲义和源代码。(Often differential equations in MATLAB to achieve compression package which contains the lecture notes and source code.)