MonteCarlopaneldatatest

基于matlab仿真的应用SVPWM调制技术的电流双闭环T型三电平逆变器的仿真模型(Matlab simulation of current applications SVPWM modulation technique of Double Loop T-type three-level inverter simulation model based on)

Face Recognition system

有关MATLAB基础教程的程序，希望对下载的人有所帮助。(based on MATLAB Guide to the procedure, hoping to download the help.)

IS95前向链路系统的性能仿真,通过MATLAB进行建模，得出仿真结果(The simulation of IS95 forward link system performance )

原函数及求得的相应差值多项式的函数的图像以及参原函数及求得的相应差值多项式的函数的图像以及参数alph的误差r数alph的误差r(原函数及求得的相应差值多项式的函数的图像以及参数原函数及求得的相应差值多项式的函数的图像以及参数alph的误差ralph的误差r)

说明：  关于软频率复用的matlab仿真，最后仿真出功率的分配(On the soft frequency reuse of matlab simulation, the final simulation the distribution of power)

Linear discriminant analysis (LDA) and the related Fisher s linear discriminant are methods used in statistics, pattern recognition and machine learning to find a linear combination of features which characterizes or separates two or more classes of objects or events. The resulting combination may be used as a linear classifier, or, more commonly, for dimensionality reduction before later classification.

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))

说明：  上传了几个基于“当前”统计模型的机动目标跟踪的程序，包括子程序和文献，还有粒子滤波的目标跟踪程序(From a few based on the &quot current&quot statistical model for maneuvering target tracking procedures, including routine and literature, as well as particle filter target tracking process)

关于神经网络的matlab程序，包括建立神经网络，仿真等···(Neural network matlab procedures, including the establishment of the neural network simulation)