黎卡提方程求解程序

good simulator for network usage

matlab多电平拓扑三相电路仿真原理图，很实用(matlab multi-level topology of three-phase circuit simulation schematic, very practical)

This is the program to build image pyramid and then we can decompose it in to the different layers.

高阶谱分析工具箱，有常见的参数模模型高阶谱估计，DOA估计与时延估计 (Higher order spectral analysis toolbox, common parameter-mode model of higher order spectral estimation of DOA estimation and delay estimation)

信号检测与估值的matlab程序，里面包含了各种信号检测方法(Signal detection and valuation of the matlab program, which includes a variety of signal detection method)

本程序是求解神经电另一chay方程的较为简单的例子。还有一个非线性物理中的Lorenz模型。可以帮助大家了解神经放电的问题()

MATLAB下用最小二乘设计低通，高通，带通，带阻数字滤波器。(Using MATLAB m-file to design LP, HP, BP and BS fitlers based on Least-square algorithm.)

根据论文Curvature Scale Space Corner Detector with Adaptive Threshold and Dynamic Region of Support算法写的角点检测(err)

说明：  智能控制第二版全部的仿真程序，已经全部测试通过(Intelligent control of the second edition of all of the simulation program have all been tested by)

转：https://blog.csdn.net/jinshengtao/article/details/26278725 混合高斯背景建模是基于像素样本统计信息的背景表示方法，利用像素在较长时间内大量样本值的概率密度等统计信息(如模式数量、每个模式的均值和标准差)表示背景，然后使用统计差分(如3σ原则)进行目标像素判断，可以对复杂动态背景进行建模，计算量较大。 在混合高斯背景模型中，认为像素之间的颜色信息互不相关，对各像素点的处理都是相互独立的。对于视频图像中的每一个像素点，其值在序列图像中的变化可看作是不断产生像素值的随机过程，即用高斯分布来描述每个像素点的颜色呈现规律单模态(单峰)，多模态(多峰)(Gaussian mixture background modeling is a background representation method based on the statistical information of pixel samples. Statistical information such as the number of patterns, the mean and standard deviation of each pattern are used to represent the background. Statistical difference (such as 3_principle) is used to judge the target pixel. Complex dynamic background modeling has a large amount of computation. In the Gaussian mixture background model, it is considered that the color information between pixels is uncorrelated and the processing of each pixel is independent of each other. For each pixel in a video image, the change of its value in a sequential image can be seen as a random process that produces pixel values continuously, i.e. Gaussian distribution is used to describe the regularity of color rendering of each pixel in single mode (single peak) and multi-mode (multi-peak).)