Walking-Assistant-Matlab-code

设计弹出菜单利用 Visual basic 6.0 开发工具实现(Visual basic 6.0 )

车牌识别程序，MATLAB，源代码，M文件(MATLAB)

说明：  珍藏版，可实现，新K均值聚类算法，分为如下几个步骤： 一、初始化聚类中心 1、根据具体问题，凭经验从样本集中选出C个比较合适的样本作为初始聚类中心。 2、用前C个样本作为初始聚类中心。 3、将全部样本随机地分成C类，计算每类的样本均值，将样本均值作为初始聚类中心。 二、初始聚类 1、按就近原则将样本归入各聚类中心所代表的类中。 2、取一样本，将其归入与其最近的聚类中心的那一类中，重新计算样本均值，更新聚类中心。然后取下一样本，重复操作，直至所有样本归入相应类中。 三、判断聚类是否合理 采用误差平方和准则函数判断聚类是否合理，不合理则修改分类。循环进行判断、修改直至达到算法终止条件。(NewK-means clustering algorithm ，Divided into the following several steps: A, initialize clustering center 1, according to the specific problems, from samples with experience selected C a more appropriate focus the sample as the initial clustering center. 2, with former C a sample as the initial clustering center. 3, will all samples randomly divided into C, calculate the sample mean, each the sample mean as the initial clustering center. Second, initial clustering 1, according to the sample into the nearest principle clustering center represents the class. 2, as this, take the its recent as clustering center of that category, recount the sample mean, update clustering center. And then taking off, as this, repeated operation until all samples into the corresponding class. Three, judge clustering is reasonable Adopt error squares principles function cluster analysis.after clustering whether reasonable, no reasonable criterion revisio)

matlab 编写的小波分解程序,进行模式识别(the preparation of the wavelet decomposition matlab procedures, pattern recognition)

这是利用matlab所写的ezw影像压缩法，但是我有改过一些步骤，比传统ezw更快。(This is written in the use of Matlab ezw image compression method, but I have to turn over some steps, ezw faster than traditional.)

用matlab控制PID参数，进行调整，可实现仿真，适合初学者(Matlab PID control parameters to be adjusted, enabling simulation, suitable for beginners)

clean算法的matlab实现代码，采用TH-PPm调制(Clean algorithm matlab implementation code, using TH-PPm modulation)

BP神经网络识别手写字符验证码，包括10721张字母、数字样本(BP neural network handwritten character recognition codes, including 10,721 letters, numbers, samples)

order static是在天线选择，用户选择中经常使用到的方法，这本书详细介绍了关于orderstatic的理论(order static in antenna selection, the user selects the method often used, this book details the theory on the orderstatic)

教您如何用matlab使用贝叶斯网络工具箱。(Teach you how to use the Bayesian network toolbox of matlab.)