musicsunfachengxu

压缩包里面有四个函数，实现了常用的几种模糊聚类方法，附有较详细的注释(There are four functions in the file. these functions fulfills common method of fuzzy cluster. Commments are quite good)

three level diode clamp inverter simulink file

神经网络matlab实现各种hop(Hopfield)算法(hopfield,ANN)

最小二乘支持向量机代码，最小二乘支持向量机很好地解决了普通支持向量机耗时的问题，很适合用于及时诊断故障(fuzzy least square vector machine)

说明：  荷兰Delft大学开发的insar（干涉合成孔径雷达）图像处理部分源代码，用matlab编写的。(Netherlands Delft University developed insar (interferometric synthetic aperture radar) image processing part of the source code with matlab prepared.)

to make a simulation of motors

对单级倒立摆系统的平衡控制问题进行了研究.。首先建立了系统的数学模型 ,然后采用 PID 方法设计控制器 ,最后对控制系统进行了仿真实验研究. 仿真实验结果不仅证明了PID方案对系统平衡控制的有效性，同时也展示了它们的控制品质和特性.。(The balance control of a single inverted pendulum system was focused. First , the mathematical model of the system was built , then the PID method was adopted respectively to design the controllers, at last , the simulation experiments were finished, by the simulation experiment results, not only the validity of the three methods were confirmed , but their qualities and characteristics were shown fully also.)

matlab区域增长法法进行图像边缘检测(region growing method matlab edge detection method)

海杂波模拟 lognormal分布 很好用的(Simulation of lognormal distribution of sea clutte)

克里金法广泛地应用于地下水模拟、土壤制图等领域，是一种很有用的地质统计格网化方法。它首先考虑的是空间属性在空间位置上的变异分布．确定对一个待插点值有影响的距离范围，然后用此范围内的采样点来估计待插点的属性值。该方法在数学上可对所研究的对象提供一种最佳线性无偏估计(某点处的确定值)的方法。它是考虑了信息样品的形状、大小及与待估计块段相互间的空间位置等几何特征以及品位的空间结构之后，为达到线性、无偏和最小估计方差的估计，而对每一个样品赋与一定的系数，最后　进行加权平均来估计块段品位的方法。(Kriging is a technique that provides the Best Linear Unbiased Estimator of the unknown fields (Journel and Huijbregts, 1978 Kitanidis, 1997). It is a local estimator that can provide the interpolation and extrapolation of the originally sparsely sampled data that are assumed to be reasonably characterized by the Intrinsic Statistical Model (ISM). An ISM does not require the quantity of interest to be stationary, i.e. its mean and standard deviation are independent of position, but rather that its covariance function depends on the separation of two data points)