MixFigure

灰色系统预测GM（1，1）模型的MATLAB源代码(Gray Forecast GM (1,1) model of MATLAB source code)

Mean Shift 这个概念最早是由Fukunaga等人[1]于1975年在一篇关于概率密度梯度函数的估计中提出来的,其最初含义正如其名,就是偏移的均值向量,在这里Mean Shift是一个名词,它指代的是一个向量,但随着Mean Shift理论的发展,Mean Shift的含义也发生了变化,如果我们说Mean Shift算法,一般是指一个迭代的步骤,即先算出当前点的偏移均值,移动该点到其偏移均值,然后以此为新的起始点,继续移动,直到满足一定的条件结束. 用matlab实现mean shift算法仿真(Mean Shift the concept was first used by Fukunaga et al [1] in 1975 in an article on the probability density function estimation of gradient raised its original meaning, as its name implies, is the offset of the mean vector, where is the Mean Shift a noun, it refers to a vector, but with the Mean Shift the development of the theory, Mean Shift the meaning has changed, if we say that Mean Shift algorithm, generally refers to an iterative steps, namely, first calculate the current point Mean offset, move the shift points to its average, and then as a new starting point and continue to move until the end to meet certain conditions. realize using mean shift algorithm matlab simulation)

说明：  捕获IP数据包的小程序,原理是使用PCAP库.开发语言为C(IP packet capture the small programs, principles for the use of Cards. For the C programming language)

D算法求最短路径利用matlab解决 输出S矩阵和行向量(Dijkstra algorithm)

semivario structure funvtion,there is no need other steps

基于c#的互相关函数计算，基于c#的互相关函数计算，基于c#的互相关函数计算，(Cross Correlation)

实验内容 信号与系统试验报告 自己的作业 1.设有两个信号： 要求x(t)和h(t)采样形成离散序列， 参数选择如下： 采样率Δ=4ms， 频率f=30Hz， a=2f2ln(M), M=2.5 在MATLAB下实现连续信号离散化， 并绘制出离散形式的信号波形。 (Experimental signal and system test the contents of the report of one)

说明：  MatLab工程数学应用 一书的电子版，内容非常实用(MatLab Application Engineering Mathematics electronic version of the book, the content is very practical)

说明：  基于KALMAN滤波的MEMS陀螺仪滤波算法，陀螺仪滤波算法matlab实现(Based on KALMAN filter MEMS gyroscope filter algorithm, gyroscope filter algorithm matlab realize)

一种基于网络节点距离（节点间RTT值），将节点动态的划分在相应的聚类内，每个聚类有一个中心节点，其成员节点到它的距离不超过某一设定值(A network node based on distance (inter-node RTT value), the delineation of the dynamic nodes in the corresponding cluster, each cluster has a central node, the node of its members to its distance does not exceed a set value)