model4

无标度网络传染病程序子程序 生成节点参数、属性矩阵，本文四个属性(Subprograms for Scale- free Network Infectious Diseases Generate node parameters, attribute matrix, this paper four properties)

说明：  雷达数据处理程序，对于虚假目标的产生，采用在距离、方位角、俯仰角三个方面分别产生随机噪声。(There are six tracks in the main function, which are straight track 1, circular track, straight track 2, straight track 3, figure 8 Track and ellipse track. The generation method is to first generate the track in rectangular coordinate system according to the motion equations of various tracks, in which 8-word track and ellipse track are generated by calling the functions of eighttrack and ellipsetrack respectively, and then use the coordinate system transformation to convert the value of rectangular coordinate system into the value of polar coordinate system, that is, distance, azimuth and pitch angle. It is worth noting that the image should be considered in the transformation process)

求零点、极点和增益，这是一些已经调好的实例，还有运行后的结果。(For zero, poles and gain, this is some have adjustable good examples, and after the operation result. )

本文为基于matlab的粒子群算法的程序，以求函数最小值为例，讲述如何用粒子群算法求得局部和全局最优解。(This article is based on particle swarm algorithm matlab procedures, in order to the minimum function, for example, on how to use PSO obtain local and global optimal solution.)

压缩感知技术matlab代码例程，信号重建算法(compressive sensing)

说明：  决策树分类程序，包含使用的数据集和运行结果(Decision tree classifier, including data sets used and running results)

掌握和精通matlab之GUI设计，找了好久才找到的资料，大家看看吧。(Matlab master and master of GUI design, looking for a long time to find the information, let us look at it.)

I,Q通道的 噪声过程是高斯的的,而且是互不相关的,他的功率谱也是白的. 因为I和Q通道的噪声过程是高斯的,而且是互不相关的 我们可以得到他们是相互独立(Papoulis,1984). 最后,由于I和Q通道是独立的零均值高斯过程,因此可以推导出:复信号:I+jQ,幅度是瑞丽分布的,幅度的平放是指数分布的,相位角arctan(Q/I)是在(0,2π]上均匀分布(I Q Gaussian noise)

针对线性混合信号盲分离时，源信号概率密度与激活函数难以确定时（尤其是源信号中既含超高斯信号，又含亚高斯信号时），依据信号pdf的一种测度--峭度，自适应的确定激活函数，实现信号的盲分离，是一种基于峭度开关的盲分离算法。(Linear mixed-signal for blind source separation, the source signal probability density function with the activation when it is difficult to determine (especially the source of the signal with both super-Gaussian signals, but also with sub-Gaussian signal), signal pdf based on a measure-- Kurtosis, adaptive activation function of determining and achieving blind signal separation, is a switch-based kurtosis blind source separation algorithm.)

多尺度normalized cut分割的matlab代码 (Multiscale Normalized Cuts Segmentation Toolbox)