kmedoids1

matlab仿真通过的降噪程序，提供c语言实现的各种降噪算法。还包括对椒盐噪声有很好抑制作用的一组新算法。(matlab simulation of the noise reduction process through the provision of a variety of c language to achieve noise reduction algorithm. Also includes a very good inhibition of salt and pepper noise of a new algorithm.)

该程序由matlab编写功能为，应用模板的人眼定位(this program codec by matlab which have the function of eye location based on the application of model)

feedback and control systems

OFDM下行的仿真1、产生要传输随机数； 2、进行调制； 3、串并转换； 4、进行IFFT操作（代码中有用到共轭对称向量的IFFT为实数进行简化计算）； 5、增加循环前缀； 6、并串转换； 7、输出前滤波； 8、增加信道噪声（加性高斯白噪声）； 9、接收端串并转换； 10、去除循环前缀； 11、进行FFT变换； 12、信号解调； 13、误比特率计算； (OFDM downlink simulation 1, have to be transmitted random number 2, the modulation 3 series and transforms 4, the IFFT operation (code useful to conjugate symmetric vector of the IFFT of real numbers to simplify calculations) 5, the increase in circulating prefix 6, and string conversion 7, the output before the filter 8, increased channel noise (additive white Gaussian noise) 9, the receiver string and conversion 10, removal of cyclic prefix 11, the FFT transform 12 , the signal demodulation 13, bit error rate )

仿真12脉冲直流提调速系统之一，12脉冲整流matlab仿真(Simulation of 12-pulse DC mentioning governor system one.rar)

PS-INSAR数据处理，STAMPS处理方法(PS-INSAR data processing, STAMPS processing method)

说明：  数学建模中的图论知识来研究最短路径的问题，利用Dijkstra算法matlab实现(Graph theory knowledge in mathematical modeling is used to study the shortest path problem, which is realized by using Dijkstra algorithm matlab.)

说明：  首先介绍计算机仿真技术和仿真建模方法的基本概念，以便对建模和仿真有个初步和整体的认识；然后对 Simulink 进行简单介绍，并以一个简单例子进行引导；最后介绍 Simulink的工作原理，为后续的深入掌握 Simulink 打下基础。(First introduces the computer simulation technology and the basic concepts of simulation modeling methods, modeling and simulation in order to have a preliminary and general understanding and then a brief introduction to the Simulink and be guided by a simple example Finally, the working principle of Simulink, Simulink for subsequent understanding of the basis.)

利用matlab实现下面的问题：其中u(k)和z(k)分别为模型的输入和输出变量；v(k)为零均值、方差为1、服从正态分布的白噪声；为噪声的标准差；利用得到的u(k)和z(k)来辨识模型的阶次和参数。　　(Using matlab to achieve the following questions: where u (k) and z (k) respectively, the input and output variables of the model v (k) with zero mean and variance 1, follow a normal white noise noise standards Poor utilization u (k) and z (k) to identify the order and parameters of the model.)

姿态角辅助的机动目标跟踪算法，实现了异类信息的融合，提高了跟踪精度。(pose aided maneuvering target tracking algorithm, which fused diffeent kind of information and improved the tracking precision.)