sar_panel_FE

解决拜占庭将军问题典型问题的源程序。分别采用Dolev算法、快速收敛算法、及 混合算法等多种算法。(Byzantine generals problem solving typical problems of the source. Respectively Dolev algorithm, fast convergence algorithm and hybrid algorithm and other algorithms.)

MATLAN中用simulink工具箱进行建模仿真，车辆工程搞仿真的朋友可以作为参考的例子，文件包括：1、基于Matlab／Simulink的车辆起步过程的仿真；2、基于Matlab_Simulink的四轮转向汽车操纵稳定性仿真；3、基于MATLAB_SIMULINK电动汽车感应电机建模仿真与特性分析；4、基于Matlab_Simulink环境四轮驱动混合动力汽车建模与仿真；5、基于Matlab_Simulink汽车驾驶员电动座椅控制系统的仿真设计；6、基于Simulink的电动汽车动力系统模型。(Simulation modeling with Simulink Toolbox in MATLAN, vehicle engineering simulation of friends can be used as a reference example, files included: 1, vehicle starting process simulation based on Matlab/Simulink, 2, the four wheel steering vehicle handling stability simulation based on Matlab_Simulink, 3, MATLAB_SIMULINK-based simulation modeling and characteristic analysis of induction motor for electric vehicles, 4, Matlab_ Simulink environment modeling and simulation of four-wheel-drive hybrid cars 5, based on Matlab_Simulink driver power seat control system design and simulation of 6, electric power system based on Simulink model.)

利用MATLAB软件进行RLS 算法仿真；  考察RLS算法的收敛性，与横向LMS算法进行比较；  (RLS algorithm using MATLAB software simulation  examine the convergence of RLS algorithm, LMS algorithm to compare with the horizontal  )

冈萨雷斯数字图像处理 MATLAB版图片(Gonzalez Digital Image Processing MATLAB version of the picture)

MATLAB中WVD变换，可将时域数据转换为时频域能量密度(WVD Transform)

effective segmentation algorithm

三相光伏并网simulink仿真模型，包含PV模型和网侧控制模型(Simulink simulation model for three-phase photovoltaic grid, including the PV model and the network side of the control model)

Matlab中如何检验数据是否符合某种分布，例如:正态分布、γ分布、泊松分布、指数分布、rayleigh分布。(Matlab how to verify the data meets certain distribution, for example: the normal distribution, the γ distribution Poisson distribution, exponential distribution, rayleigh distribution.)

How to use the ordinary Voronoi partition generator. The m-files also have their own help documentation that you can view in Matlab. This code creates a bounding polygon that is a square. Then it randomly creates 10 points and then creates and draws the partition. bounds = [0, 10, 10, 0 0, 0, 10, 10] points = 10 * rand(2, 10) regions = voronoi(bounds, points) drawRegions(bounds, regions) ================================ This is a brief set of instructions on how to use the Multiplicatively- weighted Voronoi partition generator. Each of the m-files has a help section, so in Matlab you can call: help mwvoronoi help drawRegions Here is an example that creates a bounding polygon, a square with side length 10. Then it randomly creates six points with random weights. Finally, the code draws the resulting partition. bounds = [0, 10, 10, 0 0, 0, 10, 10] points = 10 * rand(3, 6) regions = mwvoronoi(bounds, points) drawRegions(bounds, regions) Enjoy!

Segmentation of images