svpwm3

用K均值算法和C模糊算法对sonar数据和iris数据进行分类。 K均值算法是一种很常用的聚类算法，其基本思想是，通过迭代寻找K个聚类的一种划分方法，使得用这K个聚类的均值来代表各类样本是所得到的的总体误差最小。 模糊C均值（FCM）算法在K均值算法的基础上，用模糊子集代替确定子集，从而得到模糊的分类结果，即分类结果的模糊化。(Sonar data and iris data are classified by means of K mean algorithm and C fuzzy algorithm. The K mean algorithm is a very common clustering algorithm. Its basic idea is to find a partition method of K clustering by iteration, so that the average error of the mean of the K clustering is minimized. The fuzzy C mean (FCM) algorithm is based on the K mean algorithm. The fuzzy subset is replaced by the fuzzy subset, thus the fuzzy classification result is obtained, that is, the classification result is fuzzed.)

皮萨论科（Pisarenko）谐波分解法,求得含噪声信号中的谐波频率(Pisanoko (Pisarenko) harmonic decomposition method, obtained with the noise signal in the harmonic frequency)

说明：  example of the fuzzy logic in simulation

Space coding with equal gain combining.

The classic hello.cpp

Matlab Code for Maximum Description Length (MDL) Principle

针对无刷直流电机的特性，使用simulink库模块进行反电动势控制仿真。(According to the characteristics of Brushless DC motor, the back EMF control simulation by using Simulink module.)

Automatic Image Segmentation by Integrating Color-Edge Extraction and Seeded Region Growing

illumination-robust face recognition via sparse representation

code_ICCV2009_multiobject_context,ICCV2009年的多目标文本的程序(code_ICCV2009_multiobject_context, ICCV2009 multi-year program target text)