MetMAP

Effective mathematical model of IPMSM with PI controller as speed controller. Good for comparison & simulation results.

实现聚类K均值算法： K均值算法：给定类的个数K，将n个对象分到K个类中去，使得类内对象之间的相似性最大，而类之间的相似性最小。 缺点：产生类的大小相差不会很大，对于脏数据很敏感。 改进的算法：k—medoids 方法。这儿选取一个对象叫做mediod来代替上面的中心 的作用，这样的一个medoid就标识了这个类。步骤： 1，任意选取K个对象作为medoids（O1,O2,…Oi…Ok）。 以下是循环的： 2，将余下的对象分到各个类中去（根据与medoid最相近的原则）； 3，对于每个类（Oi）中，顺序选取一个Or，计算用Or代替Oi后的消耗—E（Or）。选择E最小的那个Or来代替Oi。这样K个medoids就改变了，下面就再转到2。 4，这样循环直到K个medoids固定下来。 这种算法对于脏数据和异常数据不敏感，但计算量显然要比K均值要大，一般只适合小数据量。(achieving K-mean clustering algorithms : K-means algorithm : given the number of Class K, n will be assigned to target K to 000 category, making target category of the similarity between the largest category of the similarity between the smallest. Disadvantages : class size have no great difference for dirty data is very sensitive. Improved algorithms : k-medoids methods. Here a selection of objects called mediod to replace the center of the above, the logo on a medoid this category. Steps : 1, arbitrary selection of objects as K medoids (O1, O2, Ok ... ... Oi). Following is a cycle : 2, the remaining targets assigned to each category (in accordance with the closest medoid principle); 3, for each category (Oi), the order of selection of a Or, calculated Oi Or replace the consumption-E (Or))

alamouti Algorithm describe

matlab自编程序，实现读取txt文件的一些数学分析：如标准化方法等(self matlab program to read txt files to achieve some of the mathematical analysis: such as a standardized method)

matlab GUI guide. a complete guide for image processing

实现ZOOM-FFT的功能，对频谱进行了10倍的细化。(realize ZOOM-FFT fanction)

Convex Combination with fuzzy sets. this code demonstrate the acomplishment of the requirements of two fuzzy sets to make a convex combination.

说明：  这个代码是双重水印，采用MATLAB编写，两lsb dct 俩种方法。比较适合做小项目，或者入门看。(This code is dual watermark, using MATLAB to prepare, two lsb dct two ways. More suitable for small projects, or entry look)

马科维茨包含多种风险约束的多阶段投资组合遗传算法代码,(Markowitz portfolio of multi-stage genetic algorithm code)

粒子图像分割及匹配均为自行编制的子例程，详细画出了时域和频域的相关图，采用的是脉冲对消法。( Particle image segmentation and matching subroutines themselves are prepared, Correlation diagram shown in detail the time domain and frequency domain, It uses a pulse of consumer law.)