approximateentropyandsampleentropy

图像相似度的研究设计，用于关于图片检索的相似度设计(The study design of image similarity, similarity of design for image retrieval)

程序为倒立摆的滑模变结构控制程序，在二级摆上进行实验，调试运行正确。(procedures for the inverted pendulum SMVSC control procedures, the top two experiments, debugging and running correctly.)

四种聚类算法源代码及示例代码,本程序的最终目的是形成一套标准的用于聚类、可扩展的工具。包括的内容有1. 聚类算法：Kmeans和Kmedoid算法、FCMclust, GKclust, GGclust算法 2. 评估分类原型：程序可以在二维图像上绘制出聚类的结果 3. 验证：程序给每一个算法提供验证机制，每个聚类算法会统计Partition Coefficient (PC), Classification Entropy (CE), Partition Index (SC), Separation Index (S), Xie and Beni s Index (XB), Dunn s Index (DI) and Alternative Dunn Index (DII)几种衡量指标。(Four kinds of clustering algorithms source code and sample code, the ultimate goal of this program is to form a set of standards for clustering, scalable tools. Including the contents of a. Clustering algorithm: Kmeans and Kmedoid algorithms, FCMclust, GKclust, GGclust algorithm 2. Assessment classified prototypes: programs can be plotted in two-dimensional image, the results of clustering 3. Verify: Program to provide an algorithm to each authentication mechanism, each clustering algorithm will calculate Partition Coefficient (PC), Classification Entropy (CE), Partition Index (SC), Separation Index (S), Xie and Beni' s Index (XB), Dunn' s Index (DI) and Alternative Dunn Index (DII) of several metrics.)

GM（1，1）模型，Matlab程序。只需要将已知数据输入给x0，就可以计算灰色模型的各个参数，还可以选择预测未来点的个数。(GM (1,1) model, Matlab program. Simply known data input to x0, we can calculate the various parameters of gray model, you can also choose to predict the number of future points.)

Encode/decode to ldpc-blockcode

用matlab自编写的简单遗传算法程序(SGA) (using Matlab since the preparation of a simple genetic algorithm (SGA))

于雨流计数法的命令流，采用MATLAB编写。(About the rain class notation s order class, uses the MATLAB compilation. May use in withdrawing the circulation.)

InstallShield 安装脚本例子

让MIDI技术服务于音乐教学MIDI technical services to music teaching(MIDI technical services to music teaching)

对图像做傅里叶频谱变换，可以求出图像的频谱分布，实现频谱中心化(Fourier transform spectrum of the image to do, you can find the spectral distribution of the image to achieve the center of the spectrum)