Over-MATLAB-will-do-exercise-50.

介绍一经典的MATLAB学习的资料，虽然版本有点低，但不妨碍读者通过学习它，掌握MATLAB(Introduced a classic MATLAB to study the information, although the version of a little low, but without prejudice to the reader to study it, master MATLAB)

无刷双馈电机开环控制系统电机模型电机模型(BDFM MODEL)

常见的滤波学习 中值滤波、均值滤波等 图像的解码(matlab )

用于计算表面粗糙度功率谱密度，及将二维功率谱密度转换为一维功率谱密度(It is used to calculate the power spectral density of surface roughness and transform the two-dimensional power spectral density into one dimensional power spectral density.)

通过fn算法，实现社区网络发现的一个例子。(Through FN algorithm, an example of community network discovery is implemented.)

This function is for training a codebook for vector quantization. The data set is split to two clusters, first, and the mean of each cluster is found (centroids). The disttance of each vector from these centroids is found and each vector is associated with a cluster. The mean of vectors of each cluster replaces the centroid first. If the total distance is not improved substantially, The centroids are each split to two. This goes on untill the required number of clusters is reached and the improvement is not substantial.

说明：  一种改进的自适应滤波器的状态估计，效果非常之好,是用MATLAB编写的，直接在matlab下运行就可以看到完美的滤波效果，自适应算法是sage—husa算法，较传统的滤波器有很大提高(An improved adaptive filter state estimation, the effect is definitely a good thing, is to use MATLAB prepared directly in matlab run will be able to see the effect of a perfect filter, adaptive algorithm is sage-husa algorithm, a more traditional filter machine has greatly improved)

K均值有效执行++多元数据的聚类算法。它已经表明，该算法具有的总群集内距离的期望值是日志（K）的竞争力的上限。此外，K -均值++通常远高于香草收敛K均值少。(An efficient implementation of the k-means++ algorithm for clustering multivariate data. It has been shown that this algorithm has an upper bound for the expected value of the total intra-cluster distance which is log(k) competitive. Additionally, k-means++ usually converges in far fewer than vanilla k-means.)

神经网络，可以运行成功 主要用于图像的分类等方面(Neural Network examples)

欧拉方法，龙格库塔方法的MATLAB程序解常微分方程(Euler method, Runge-Kutta Methods for Ordinary Differential Equations MATLAB program)