pidmatlab

lcs3码系统仿真程序，matlab7.0编译通过，介绍lcs3码在不同参数下，系统信号输出的不同结果(lcs3 code system simulation program, matlab7.0 compiler passed, introduce lcs3 code in different parameters, the system signal output of the different results)

语音工具箱，非常有用，matlab语音工具箱。(Voice toolbox, very useful, Matlab Speech toolbox.)

读一组整数到vector对象，计算并输出每对相邻元素的和。如果读入元素个数为奇数，则提示用户最后一个元素没有求和，并输出其值。(Read a set of integers to vector objects, calculate and output, and each pair of adjacent elements. If you read an odd number of elements, the last element of the user is prompted no summation, and output its value.)

《系统辨识与MATLAB仿真.pdf》 侯媛彬 汪梅 王立琦 本书共分8章，第1、2章为辨识的基本概念、理论基础和古典辨识方法；第3至6章为现代辨识内容，其中第3章是最小二乘参数辨识，第4章是梯度校正参数辨识，第5章是极大似然法的参数辨识方法，第6章是自适应参数辨识；第7、8章为复杂的非线性系统的智能辨识和混沌辨识，其中第7章是非线性系统的神经网络辨识；第8章是Volterra辨识方法、复杂系统的混沌现象及其辨识。从第2至7章，各章均包含开发的相应程序及其程序剖析。 (" System Identification and MATLAB simulation. Pdf" Hou Yuanbin Wang Mei Wang Liqi book is divided into eight chapters, Chapters 1 and 2 for the identification of the basic concepts, theoretical foundation and classical identification methods first 3-6 chapters of modern identification content, Chapter 3 is the least squares parameter identification, Chapter 4 is the gradient correction parameter identification, Chapter 5 is the maximum likelihood parameter identification method, Chapter 6 is an adaptive parameter identification Chapters 7 and 8 for complex Intelligent identification of nonlinear systems and chaos identification, which is in Chapter 7 of the neural network nonlinear system identification Chapter 8 is Volterra identification method, complex systems and chaos identification. From the first 2-7 chapters, each chapter contains procedures for the development of appropriate programs and their analysis.)

矢量量化m文件，采用分裂算法的K均值算法(Vector Quantization: K-Means Algorithm with Spliting Method for Training)

动态方式观察物体坠落的过程，从而达到动态的仿真效果。(The dynamic way observation object crashes process, thus achieves the dynamic simulation effect. )

选择二进制编码，利用遗传算法计算函数的最小值(calculate function minimum with genetic algorithm)

说明：  该课题为基于kmeans的聚类分割，输入一张彩色图像，可以选择需要分割成多少类，就会以不同颜色区分不同的块，带有GUI界面，操作丰富。(This topic is based on Clustering Segmentation of kmeans. Input a color image, you can choose how many categories you need to segment, and then different blocks will be distinguished with different colors, with GUI interface and rich operation.)

matlab实现基本的通信仿真技术bpsk(To achieve basic communications simulation technology bpsk using matlab)

these codes used for computational Statistics. these codes are intresting because you can apply matlab in other area except enginnering.